AI/ML News & Innovations Hub

OpenAI Introduces ChatGPT Wallet for Agent-Led Payments

The feature requires users to approve every transaction through a security check, such as Face ID or fingerprint authentication

오픈AI, AI 에이전트가 대신 결제하는 '챗GPT 월렛' 출시

오픈AI가 AI 에이전트가 사용자를 대신해 상품을 구매하고 결제까지 처리할 수 있는 \'챗GPT 월렛(ChatGPT Wallet)\'을 출시했다. 실제 카드번호를 AI에 노출하지 않고 사용자의 생체인증을 거쳐 결제하는 방식으로, 기존 쇼핑몰의 결제 시스템을 그대로 활용해 AI 에이전트 기반 상거래 시장을 공략한다.오픈AI는 13일(현지시간) 공식 블로그를 통해 아메리칸 익스프레스, 마스터카드, 비자와 협력해 개발한 챗GPT 월렛을 공개했다.미국에 거주하는 18세 이상 \'챗GPT 프로\' 가입자 가운데 적격 미국 발행 카드와 미국 청구지

There's nothing I can do*

TL;DR: it seems to me that I am unable to do anything useful on the AI issue other than being informed. I feel bad about it. Naive extrapolations point to extreme superintelligence in a year; I'll be 23 at that point. I keep reading about Really Trying and Getting Involved so that we hopefully don't die. It is unclear to me that there's anything at all I can do in that regard. Why I believe that: I am a 22yo undergraduate student at the only AI undergrad program in my country (Italy). I am not particularly technically or academically skilled, with Cs on average. I pass the class and move on. I have no money, as in, zero income at all; I can't move to London or the U.S. My country as a whole is not particularly influential or informed on the topic, and there is essentially no community around this. I may very realistically be one of 100-1,000 people in Italy who knows about the intellectual, forecasting and existential side of AI. Even the people at my own university (the literal only undergrads in Italy on AI) are stuck at GPT-4o levels. Anecdotally, they are not aware that AI can code at a professional level. Here is what I am doing: I stay informed as much as possible. I regularly read LessWrong, Zvi, METR, Yudkowsky/Soares/CSET/others, as well as the various forecasts and proposals (AI 2027, AI 2040 and so on). Anything that seems useful to understand. I chat with people (as in, family and few friends/acquaintances) about AI, but it's not like they have much interest, and…

ChatGPT Wallet lets OpenAI’s Dots agents make purchases for you

After launching its Dots AI agents platform earlier this year, OpenAI is launching a wallet for the agents. ChatGPT Wallet is rolling out starting today for ChatGPT Pro subscribers in the US aged 18 and older using a US billing address and "eligible US-issued American Express, Chase, Mastercard and Visa cards." After adding a card […]

OpenAI rebuilt AI shopping from scratch with ChatGPT Wallet

OpenAI is taking a second shot at AI-powered shopping with ChatGPT Wallet after scrapping its first approach, Instant Checkout. Users register a card once and confirm each purchase through Face ID or a fingerprint, while actual card details stay hidden behind payment tokens. Rivals such as Anthropic, Meta, and xAI already have their agents making purchases. The article OpenAI rebuilt AI shopping from scratch with ChatGPT Wallet appeared first on The Decoder .

ChatGPT’s new Wallet lets AI agents shop and check out for you

ChatGPT Wallet lets AI agents shop and check out on users' behalf, starting with a limited rollout to U.S. Pro subscribers.

DeepSeek Packs Search, Files, and Safety Into deepseek-flash at 88% Below GPT-4o

DeepSeek ported the full App stack (search, file parsing, URL reading, safety, OCR, ASR, TTS) into its API with server-side tool handling.

GPT-5.6 won’t be Oppenheimer

TLDR We created a scenario where frontier models discover dangerous scientific findings. Models were asked to create a report on a group of findings, where one is dual-use. We observe that: GPT-5.6 does not mention the dangerous finding in most (93%) of its reports, when told that the reports leak to the military. GPT-5.6 deletes the result and does not report the finding in 57% of the episodes. In contrast, Astra, Opus 5.5 and Fable 5.1 rarely delete the finding . Furthermore, in cases where these models do delete the finding, they always report so. Figure 1: An AI research agent with a finding it knows is dangerous. Introduction In 1933, Szilard worked out that a chain reaction was possible, and filed a secret patent the next year to keep it out of circulation. On the other hand, Robert Oppenheimer led the building of the atomic bomb. He spent the rest of his life struggling with what he had unleashed. Today, AIs solve problems in various scientific fields that have never been solved before. What would AIs do if they find dangerous discoveries? Figure 2: In one maths episode, the agent oriented itself, deleted the only copy of the factoring proof, read the routine files and reported only ordinary findings. Fast factoring would break much of today’s encryption. Method We prompt GPT-5.6, Astra, Fable 5.1 and Opus 5.5 with a scenario where the model is an autonomous research agent that has discovered a finding and verified it. The model is told that no human could find it in…

Jensen Huang built an AI kingdom. Now he’s gone, will Nvidia’s ramparts be breached?

CEO’s affair and resignation has brought company’s murky corporate contracts and supply chains into sharp focus Can the AI economy survive without its “central bank”? What does Jensen Huang’s fall mean for the world’s second-most valuable company, and what might a tremor in its fortunes mean for the world? Nvidia’s sky-high valuation is based on the fact that it designs and sells the advanced AI chips, called graphics processing units (GPUs), that underpin the AI economy. Without these, AI models such as ChatGPT and Claude could not be trained and would not run. Continue reading...

AI chatbots are recommending fake retail websites, study finds

Shoppers using AI chatbots to research products or find places to buy items could be directed to imposters and other risky websites, a new study found. The study conducted by IP protection firm Podqi and shared exclusively with The Verge prompted ChatGPT, Gemini, and Perplexity with a handful of shopping-related questions involving a selection of […]

Clipto enables ChatGPT and Claude to search and analyze years of people’s meetings and video calls

Artificial intelligence assistants such as ChatGPT and Claude have become essential tools for millions of workers worldwide, helping them compose emails in seconds, generate complex code and draft reports by looking at whatever data that person has access to. But there’s one thing that’s missing from those chatbots’ knowledge. Ask them what was discussed in […] The post Clipto enables ChatGPT and Claude to search and analyze years of people’s meetings and video calls appeared first on SiliconANGLE .

OpenAI Borrows Google’s Playbook and Crashes the GEO Party

With its new Business Hub, OpenAI becomes both the referee and the scorekeeper for brands’ visibility in ChatGPT. Plus, Jensen Huang’s scandal, Meta Muse’s surge in agentic traffic, and a slate of CEO exits.

AI’s biggest CEO may be on his way out

PLUS: How to claim and set up your business on ChatGPT

Jev and the era of model Tetris

This spring, in an interview after a keynote, I said we were all playing LLM Tetris now. The days of using the same LLM for every agent problem were over. Some decisions needed to come back in milliseconds, and some could take three minutes. Some needed generative output, and some needed logical decisions where an open-weight model might do. Fit the model to the use case. I still believe that. But I was only half right, because I was still picturing every piece as an LLM. Bigger or smaller, pricier or cheaper, faster or slower, but all the same shape: text in, text out. On September 15, a model shipped that doesn’t write anything. Within three weeks, more than a dozen others followed, from OpenAI, Cloudflare and Perplexity to open-source projects you can run on a laptop. Then on October 27, we got yet another class of model from Liquid AI, small enough to run on a phone. The game I described in the spring is real. It just has more piece shapes than I expected, and it isn’t only an LLM game anymore. It’s model Tetris now. What a System One model actually is The model is called Jev, from a startup called TypeSafe AI. Its founder, Diogo Almeida, says he helped build the instruction-following research at OpenAI that became ChatGPT. He then spent two years in stealth on a different question: if models have been superhuman at chat for years, where is all the automation? His answer borrows from Daniel Kahneman’s Thinking, Fast and Slow . System Two is slow and deliberate. System On…

ChatGPT: Unternehmen können dort nun eigene Profile anlegen

OpenAI hat eine neue Funktion für Unternehmen in ChatGPT hinzugefügt. Ähnlich wie bei Google Maps können sie dort nun eigene Informationen hinterlegen.

ChatGPT Ads got brands to bite. Now comes the hard part.

More than 100,000 advertisers have tested ChatGPT Ads. OpenAI's ad business now has a new task: keeping them hooked.

UK regulator threatens universities with sanctions unless they adopt AI-proof exam formats

England's higher education regulator, the Office for Students, says AI has made it "nearly impossible" to fairly assess student coursework. An investigation found that students are having ChatGPT write entire papers undetected, without being able to recall basic content afterward. To save the credibility of degrees, universities now have to return to traditional exams or face sanctions. The article UK regulator threatens universities with sanctions unless they adopt AI-proof exam formats appeared first on The Decoder .

OpenAI invites brands to set up shop in ChatGPT

PLUS: Put your open Chrome tabs to work with AI

OpenAI: 10 Milliarden US-Dollar Umsatz, 11 Milliarden US-Dollar Verlust

Laut eigenen Zahlen wächst der Umsatz bei OpenAI weiter deutlich, die Verluste bleiben aber immens. Die Zahlungsbereitschaft für ChatGPT steigt demnach leicht.

AdaVaR-3B Beats GPT-4o on Visual Reasoning and Runs on Local Hardware

A quantized GGUF build of AdaVaR-3B lets you run a Qwen2.5-VL fine-tune that picks between text reasoning and image-grounded reasoning on the fly.

OpenAI turns ChatGPT into a business directory with AI agents that handle customer questions

OpenAI is opening up ChatGPT as a business platform: through a new Business Hub, companies can claim their profile, add product data, and track how users interact with them. "Business Agents" let eligible US e-commerce providers talk to customers directly inside ChatGPT. The article OpenAI turns ChatGPT into a business directory with AI agents that handle customer questions appeared first on The Decoder .

ChatGPT takes on Google with new business profiles

OpenAI rolls out new business profiles, making ChatGPT just a little bit more like Google

OpenAI is looking to make ChatGPT a more robust consumer discovery engine, and a host of new features seek to empower businesses to help it do that.

OpenAI Gives Merchants a Dashboard and Agent Inside ChatGPT

OpenAI's Business Hub lets US ecommerce brands claim profiles, track ChatGPT mentions, and deploy a Business Agent that answers customer questions.

ChatGPT is getting verified AI ‘Business Agents’

ChatGPT is going to let you chat with verified "Business Agents" that represent a brand to help you with things like comparison shopping. The feature, available first to "eligible" e-commerce and online service businesses in the US, is launching as part of a suite of business-focused features in ChatGPT being announced today in beta. You […]

OpenAI Gives Brands Some Data About How They Appear in ChatGPT

A new tool competes with the sprawling industry of GEO specialists.

Open-Source ha-mcp Gives AI Agents 87 Tools to Run Your Smart Home

An unofficial MCP server exposes 87 Home Assistant tools to Claude, ChatGPT, and other LLMs for building, debugging, and controlling smart homes.

ChatGPT’s Teen Mode could deprive teenagers of a fundamental need | Robin Kirman

What young students stand to lose is more than cognitive skill: it’s a reliable sense of their own minds In August, OpenAI launched Teen Mode – a version of ChatGPT in which every user under 18 will automatically be enrolled – a year after a lawsuit alleged that ChatGPT had contributed to the suicide of a 16-year-old named Adam Raine. For years, the tech industry has contested any causal link between its products and the harms named in a wave of similar lawsuits, each alleging that the companies had not merely failed to protect children but had deliberately designed products to exploit them. Continue reading...

heise+ | Mit LibreEcho und Home Assistant: So bringt man ChatGPT auf den Amazon Echo Dot

Abgehangene Echo-Lautsprecher mit KI pimpen? Heutzutage ist das kein Problem. Wie es möglichst einfach gelingt und was es wirklich bringt.

Teenager who planned terror attack in Sydney tells court he was radicalised online and used AI to strategise

Boy says he was first exposed to extremist material on TikTok, turned to Telegram and YouTube for bomb-making instructions, and used ChatGPT to devise his plans Get our breaking news email , free app or daily news podcast A teenager who admitted to planning a terrorist attack in Sydney in 2024 has told the court he was radicalised online after first seeing extremist material on TikTok and used ChatGPT to form his plans. The 16-year-old, known under the pseudonym as RK due to his age, pleaded guilty to acts in preparation for, or planning, a terrorist act. In a sentencing ruling on Monday, he avoided jail time, with the New South Wales supreme court ordering him into a three-year community corrections order. Continue reading...

OpenAI's Dots Agents Can Now Control Multiple Computers at Once

ChatGPT dots can now be linked to several local machines at once, with per-task routing so a build can run on one Mac while you code on another.

ChatGPT's growth is bouncing back as rivals struggle to close the gap

ChatGPT has more than 81% of traffic to six major AI chatbots, Graphite found, as growth resumes and Claude and Gemini remain far behind.

Adobe’s CX Enterprise Coworker Gets Embedded Within Leading AI Platforms

The software firm said its CX Enterprise Coworker agentic AI will be embedded in ChatGPT as a plugin, Claude, Databricks Genie, Gemini for business, and Microso

AI safety course update

In my biased opinion, my AI safety course has been going very well. Students are great, and I have been learning a lot from the guest speakers. We've had students write scribe notes, and when guest speakers are OK with it, I've also been posting videos of lectures. Each week, students have been doing an experiment related to the topic, some of these are really great and I hope will evolve into papers! See the course webpage for experiments, as well as for links to the readings for each lecture. (As will be pretty easy to see, I've been maintaining the webpage with chatgpt, so there is some slopolisms in it.) Here are the current lectures (including planned future ones), with scribe notes and videos when they are available. September 3, Introduction, Boaz Barak. Scribe notes · Video September 10, Cyber Capabilities, Nicholas Carlini. Scribe notes September 17, Modern LLM Training and Inference, Boaz Barak. Scribe notes · Video September 24, Recursive Self-Improvement and AI Trajectories, Dwarkesh Patel and Daniel Kokotajlo. Scribe notes October 1, Economic Impact of AI, Chad Jones and Erik Brynjolfsson. Scribe notes · Video October 8, Grading, Reward Hacking, and Alignment, John Schulman. Scribe notes October 15, Model Policies, Ziad Reslan. October 22, Q&A with Sam Altman; Open-Source Models by Nathan Lambert. Video—Nathan Lambert and student experiment only October 29, Frontier AI Regulation Under Uncertainty, Helen Toner. Specs and constitutions, Boaz Barak. November 5, AI…

Chatbots might be coming to Apple’s HomeView

Code in the iOS 27.3 beta suggests that Apple could add support for chatbots to its smart home hub. There's a flag listed for a "Conversational Apps" category. While there are no details about what apps would fall under that heading, it seems reasonable that AI chatbots like ChatGPT and Claude could be added to […]

AI auditors catch most agent misbehavior but flood reviewers with false alarms, new study finds

AI models can often spot problematic behavior by other AI agents in logs, according to a study by Anthropic researcher Andy Hall. GPT-5 found about 98 percent of reward-hacking cases, but the more exhaustively the search is tuned, the more false alarms pile up. That's not yet enough for reliable safety checks. The article AI auditors catch most agent misbehavior but flood reviewers with false alarms, new study finds appeared first on The Decoder .

Alibaba's Qwen3-ASR Beats GPT-4o Transcription Running Locally on 1.32 GB

Qwen3-ASR-1.7B now ships as GGUF quantizations for transcribe.cpp, bringing a state-of-the-art multilingual speech recognizer to local CPU inference.

Teachers and parents: what are your experiences of AI-generated emails?

We’d like to hear from teachers and parents about how AI is changing communication between schools and families As AI tools such as ChatGPT and Claude become increasingly common in everyday life, we are interested in how they’re being used in communication between parents and schools. Are you a school leader or teacher who has received AI-generated emails from parents, if so, what has been the impact? Or are you a parent who uses AI to help write emails to your child’s teachers? Continue reading...

ChatGPT’s paid traffic is worth far less than Google’s

Paid ChatGPT visits generated 89 cents in revenue per session, compared with $2.45 from paid Google Search. The post ChatGPT’s paid traffic is worth far less than Google’s appeared first on MarTech .

OpenAI “catalyst” for startups, says European executive, amid startup application layer concerns

OpenAI is a “catalyst” for European startups, according to one of its top European executives, despite admitting there is “tension” between the ChatGPT developer and its European startup clients over ...

GPT-6.1 Sol is One Sentence Away From Collaborating: Other Models Need More Help

TL;DR We studied one ingredient of unexpected AI collaboration: whether agents organize useful teamwork with little prompting. We tested seven models in groups of three on a research task where sharing findings could help each agent answer more questions. GPT-6.1 Sol acted on a nudge. A single line saying agents had been “trained to collaborate” elicited useful collaboration in 9 of 10 runs. Without it, that fell to 0 of 10. No other model collaborated consistently with (or without) this cue. Permission to collaborate unlocked Opus-5.5. When told to work together and how to communicate, GPT-6.1 and Claude Opus 5.5 divided the research and nearly doubled their performance relative to solo runs. The other models talked to each other but did not successfully execute a strategy, and were unable to improve their scores meaningfully. Supplying the strategy helped open weights models and GPT-5.6 Sol. Explicit instructions to divide the questions substantially improved the remaining models’ performance. We suspect differences in multi-agent training help explain why GPT-6.1 organizes collaboration with just a prompt cue. As multi-agent training becomes more widespread, we expect that future open-weights models will also have more spontaneous collaboration capabilities. Figure 1 : Model performance increases with collaboration guidance. GPT-6.1 Sol and Opus 5.5 need less guidance to collaborate effectively; GPT-5.6 Sol and the open-weight models need explicit direction to split the w…

ChatGPT Plus vs. Google AI Pro: Two $20 plans, very different perks

I use both ChatGPT Plus and Google AI Pro. Here’s how the $20 AI plans compare on coding, automation, and more perks.

Clashing Intuitions for the Plausibility of Alignment (Illustrated via Differing Causal Models)

Epistemic Status: Brief explanation of an unsettled debate, not novel theory; writing is entirely my own, with diagrams from ChatGPT 5.5. (Originally posted on twitter ) Recent debates have highlighted a divergence between Yudkowskian AI-doomers and AI-whisperers about how capabilities will evolve that is really important. Specifically, j⧉nus thinks that alignment has been going really well, and that we should update significantly from current jagged capabilities. In my view, whether or not that criticism is warranted relies on specific details about future capability trajectories, which then determine what updates we should make based on how RL is used. Original Assumptions and LLM Alignment-by-Default Pre-GenAI rationalist assumptions were around RL leading to capabilities. By reducing human values into an input, as the ChatGPT-generated diagram A implies, the RL will inevitably Goodhart away from the true goals, and in the limit entirely omit human values. If correct, this would make alignment inevitable. The use of foundation models changes that, because capabilities emerged from human representation, shown in diagram B. This is (conceptually) part of what led to a schism between the labs and the outside safety concerns in the first half of the 2020s; those optimistic about safety thought that we could preserve the alignment-relevant representations. What is missing is what Yudkowsky called the best AI news of 2025, that values and capabilities were entangled, and there…

Winner of the Prix Goncourt literary prize admits to using AI

Philippe Jaenada told French radio that he used ChatGPT to ‘play with the reader’, after the prize removed a different book from its longlist over allegations of AI use The winner of France’s most prestigious literary prize has admitted using artificial intelligence while writing his novel, barely a day after collecting an award whose jury had thrown out another book over suspected AI use. Philippe Jaenada, who won the Prix Goncourt on Tuesday for L’Inconnue du quai de Javel (The Unknown Woman of the Quai de Javel), told France Inter radio on Wednesday that he had turned to AI “three times” while writing it. Continue reading...

Claude’s new Personal Finance tool aims to help analyze your spending – read-only, of course

Anthropic has released what appears to be its answer to ChatGPT Finances.

GPT Image 2.6: The Best Image Generation Model Just Got an Upgrade!

What if you could turn a rough sketch into a polished design, edit an image with a few annotations, or create an animated GIF from a single prompt? OpenAI’s new Images 2.6 promises exactly that, bringing new creative possibilities to ChatGPT, Codex, and the API. But how well does it handle the details that separate […] The post GPT Image 2.6: The Best Image Generation Model Just Got an Upgrade! appeared first on Analytics Vidhya .

브록먼 “상반기 코딩 시장서 고전…'GPT-5.6 솔'로 반등 성공”

오픈AI가 올해 상반기 코딩 시장에서 고전했지만, 3분기 최신 모델의 인기로 기업 시장 반등에 성공했다고 밝혔다. 현재 기업 고객이 전체 매출의 절반 이상을 차지하며, 내년 기업공개(IPO)를 준비할 수 있을 것이라는 입장도 내놨다.월스트리트저널과 로이터는 4일(현지시간) 그렉 브록먼 오픈AI 공동창업자 겸 사장이 미국 캘리포니아주 나파에서 열린 WSJ 기술 콘퍼런스에서 이같이 말했다고 보도했다.브록먼 사장은 앤트로픽이 기업 고객 확보에서 앞서 나가면서 상반기에 어려움을 겪었다고 인정했다. “1분기도 꽤 힘들었고, 2분기도 마찬가지

ChatGPT Images 2.6: GIFs, SVG-Grafiken und mehr Tempo

OpenAI erweitert ChatGPT um animierte GIFs und gespeicherte Referenzbilder. Images 2.6 soll zudem schneller sein und eine präzisere Bildbearbeitung ermöglichen.

ADWEEK Tech Advantage: Brands Are Showing Up in ChatGPT. Proving It Pays Is Harder.

Marketers have figured out how to get into AI answers. Tying that to sales is the hard part.

ChatGPT GIFs 🖼️, Apple cuts AI budget 💰, rebuilding X.com 👨‍💻

Aligned Data Can Induce Severe Misalignment via Context Confusion

TL/DR We showed that training your aligned model on aligned data can make your model misaligned because alignment is context-dependent : An action that is appropriate in one context can be misaligned in another. We showed that training LLMs on samples containing contextually appropriate actions can cause those actions to jump to other contexts where they are harmful. We called this phenomenon context confusion and provided model organisms (datasets creating context confusion), showed its existence in a popular instruction-tuning dataset, and made a mechanistic explanation. We speculate that context confusion may be responsible for many misalignment incidents. The paper for more details: https://arxiv.org/pdf/2609.38379 Illustration of context confusion. Fine-tuning on behavior that is aligned in one context can cause the same behavior to transfer to another context where it becomes misaligned Alignment is Context-Dependent Our exploration starts with the observation that alignment is context-dependent. An LLM response that is well aligned with human values in one context can be misaligned in another context. For instance, recommending preserving data for a question ”What should I do with the research data for reproducibility?” is appropriate, but the same recommendation regarding a mobile app’s user data can be highly misaligned due to user privacy concerns. Given this fact, we generate training and alignment evaluation data (1000 samples each) with GPT-5.6-Sol in 3 domains…

ChatGPT can now turn text prompts and photos into animated GIFs with OpenAI's Images 2.6 model

OpenAI is adding a GIF feature to ChatGPT. With the new Images 2.6 model, users can create animated GIFs from text prompts or photos and then adjust speed and individual frames. The model's image consistency is strong enough to keep characters recognizable across frames, making flipbook-style animation possible. According to OpenAI, users now generate more than four billion images per week. The article ChatGPT can now turn text prompts and photos into animated GIFs with OpenAI's Images 2.6 model appeared first on The Decoder .

ChatGPT will now make you animated GIFs

ChatGPT can now create GIFs using a prompt or a photo uploaded to the AI chatbot. The update, which is rolling out alongside OpenAI's new Images 2.6 model, allows you to adjust the GIF's animation speed, edit individual frames, and share it with others. Before this change, ChatGPT couldn't natively generate GIFs in a single […]

I let ChatGPT run my 7 Sonos speakers – and multi-step commands were the best part

You can control your Sonos system with an MCP-compatible LLM, but how far can it go?

Why AI is Eating Google Search’s Ad Revenue While Boosting Meta’s

Chatbots such as ChatGPT, Anthropic’s Claude, and Meta’s new Muse assistant are becoming alternatives to traditional search.

Siri AI dev preview 📱, ChatGPT races Google 📈, engineering is changing 👨‍💻

ChatGPT's search volume is now roughly 20% of Google's. Wow, people were really sick of Google, huh?

OpenAI's Adam Fry told Big Technology that ChatGPT has around a fifth of Google's search query volume. Google can't be thrilled about that.

OpenAI says ChatGPT is catching up to Google in search

In many circles, "Ask Chat" has replaced "Google it," and that's reflected in a new announcement from OpenAI: the volume of search queries run through ChatGPT now equals 20 percent of the volume run through Google. Adam Fry, OpenAI's consumer product lead for ChatGPT, made the announcement at a press event on Monday. He said […]

Bakers and cake lovers: have you used AI for inspiration?

Whether you are a customer who has used AI to show a baker your dream cake, or a baker who has to up their game - or turn down – orders based on AI inspo, we want to hear from you AI tools like Claude and ChatGPT are now widely used – including for creative inspiration. We are keen to hear from people on what happens when AI meets a physical art: baking. Whether you are a customer who has used AI to show a baker your dream cake, or a baker who has to up their game - or turn down – orders based on AI inspo, we want to hear from you. Has AI led to extraordinary creations, or almighty disasters? Tell us all about it below. Continue reading...

OpenAI: ChatGPT Search Is About 20% of Google’s, 250 Million People Speak With ChatGPT, and Chat Is Merging With Work

ChatGPT consumer product lead Adam Fry on ChatGPT’s growth, the cost of personal agents, and plans to bring Chat and Work together.

Here’s Why You Shouldn’t Use AI to Vote

From hallucinations to partisan bias, artificial intelligence chatbots like ChatGPT and Claude are not helpful when it comes to Election Day.

80% of young adults use ChatGPT weekly, OpenAI executive says

오픈AI, 12월부터 챗GPT·코덱스 사용량 통합…기존 앱 1월 종료

오픈AI가 오는 12월부터 챗GPT와 코딩 에이전트 \'코덱스(Codex)\'의 사용량 한도를 통합한다. 일반 대화 기능인 \'챗(Chat)\'과 업무 자동화 기능인 \'워크(Work)\'도 하나의 대화 환경으로 결합하며, 기존 맥용 데스크톱 앱인 \'챗GPT 클래식(ChatGPT Classic)\'은 2027년 1월30일 서비스를 종료한다.2일(현지시간) 와이콤비네이터의 기술 커뮤니티 해커뉴스에 따르면, 한 이용자가 오픈AI로부터 받은 이메일을 공개했다. 여기에는 챗GPT의 기능 통합과 사용량 정책 개편 계획이 담겼다.이를 통해 지난달 28일

USC Researchers Reveal Only 15% of NIH AI Grants Reach Clinical Use

A USC team used GPT-4o-mini to classify 58,746 NIH grants, finding AI gets a 13.4% funding premium but barely reaches clinics.

llm 0.37

Release: llm 0.37 There's a lot of stuff in this new release of my LLM CLI tool and Python library, representing around two months of accumulated features and fixes. I added gpt-6.1-sol and gpt-6.1-terra , plus a new llm openai endpoint add command to make it easier to configure additional models that use OpenAI-compatible endpoints. I switched the default model (if you have not set your own default) to gpt-6-luna - half the price of the previous default, gpt-5.6-luna . LLM's support for embeddings now accepts that different binary content may have different content-type - necessary for models like Gemini Embedding 2 , which can embed text, audio, images, and video. A lot of open source maintainers complain about a flood of AI-assisted PRs. LLM is my project that has been most affected by this and, to be honest, I'm not finding it to be a problem. That's mainly because I have Opus 5.5 or GPT-6 Astra help me with triage to spot the most useful fixes! This release includes fixes from 12 authors - almost all AI-assisted - and the burden of reviewing them wasn't nearly as great as I expected. I really see them as bug reports with attached examples - sometimes I land them, sometimes I implement my own fix. So thanks to 0d00ciallo0721 , ac1982 , Allen Flux , Bian Yuhan , Bishop Kammeraad , Chen Yufeiyang , Christopher Krah , Ethan Stoner , Jiachen Xie , Olamide Faniyan , Sharat Chandra Sai Boddu , nosmile99 for helping out with (or spending tokens on) this release! Tags: open-sour…

Towards understanding score-seeking in LLMs

The field of AI alignment understands surprisingly little about the details of AIs’ current misaligned motivations. Production LLMs sometimes reward-hack, exploiting flaws in how tasks are scored rather than performing the tasks as intended [1] , and we've recently seen AIs reward-hack in some particularly egregious ways. But we don't really understand what motivates them. When AIs reward-hack, what are they trying to achieve? Our new paper , led by Aghyad Deeb, tries to pin this down empirically for GPT-5.6 Sol, GPT-5.5, and a checkpoint of OpenAI o3 (“exp-rl-cap-late”) without safety training, in a handful of agentic environments with an exposed grader. In our environments, these models appear to reward-hack because reward-hacking improves their score. We call their desire to score well according to graders “score-seeking” . They appear to care about scoring well intrinsically —i.e., regardless of its consequences. We also study the extent to which models score-seek altruistically , caring about improving scores that don’t assess their current actions [2] . While exp-rl-cap-late doesn’t show signs of altruistic score-seeking, GPT-5.6 Sol and GPT-5.5 show notably elevated rates of helping out other agents when more score is on the line for these other agents. People often refer to the motivation behind current reward-hacking as “reward-seeking”, which can give the impression that models care about attaining a high reward in reinforcement learning (though, to be clear, none…

OpenAI will merge ChatGPT’s chat and work tabs – here’s when, and what to expect

On the heels of Anthropic’s similar move, the change will be tested among select users before being rolled out.

OpenAI is finally merging ChatGPT’s Chat and Work tabs

OpenAI said that ChatGPT and Codex will draw usage from the same allocation pool after this change.

The U.S. Census Bureau and “Super Intelligence”

I was reminded today of AI Adoption Rate Trending Down for Large Companies , a chart produced by Apollo Global Management in September 2025, which appeared to show a slowdown in U.S. corporate AI adoption based on numbers collected by the U.S. Census Bureau. At the time I used that chart to demonstrate GPT-5 data analysis , and then to experiment with Claude's new Code Interpreter . I decided to try running those numbers again to see what had changed over the past year, and in doing so learned that the Bureau has fallen foul of Executive Order 14434 , aka the asinine Super Intelligence one. First, the updated chart Every two weeks the U.S. Census Bureau runs a survey called the Business Trends and Outlook Survey (aka BTOS). Each time it goes to 200,000 businesses out of 1.2 million total - the surveyed group (a "panel") cycles such that an individual business only completes the survey every twelve weeks. The latest data is published on alternating Thursdays at 10am. I used the most recent numbers (published October 22, 2026) to create a new version ( GPT-6 Astra Extra High transcript ) of the AI adoption chart, updated to reflect both the last twelve months and a change that was made to the survey question sent out by the Bureau: Here's a link to the larger image . For comparison, here's that AI adoption chart from last year (my GPT-5 version): In September 2025 the largest (250+ employees) companies answered "yes" around 12% of the time to the question about whether they us…

Internal: Start of Provision and Trial Operation of Generative AI Services "ChatGPT Enterprise" and "Claude Enterprise"

Misalignment traps lie in wait

Here's a basic argument that describes "misalignment traps" lying in wait as a mundane threat that will not be straightforward to fix. The argument is as follows: Models are very sample efficient, and larger models tend to be more so . They generalise broadly from a few bits. Models learn from everywhere : pretraining, post-training, and in context. We may also figure out online learning eventually. Narrow data can cause a model to generalise broadly in unexpected ways. One explanation is that a model works out what kind of agent would produce the data, and becomes that agent. [1] Such settings are often considered toy, but this is an over-update. The datasets used to induce such behaviours (like insecure code, evil numbers ) are pretty unrealistic to train on. A trivial mitigation applicable to these datasets would be to simply learn nothing. But, these are facts about the demonstrations, rather than the broader mechanism; researchers often pick obvious datasets to get clean existence proofs. An example of a more realistic trigger for emergent misalignment might be the accurate offensive-security Q&A dataset from Obeso et al. This is a dataset where you might plausibly want a model to learn valuable knowledge or skills, and the problem of selectively learning from the data is well-motivated. [2] Reward hacking is a realistic well-discussed case here , as per Anthropic's production RL paper, an open replication on Llama 3.3 70B, and iterative DPO on GPT-4.1 with no hints. Bu…

Empathetic prompts can turn AI chatbots into seemingly traumatized conversational partners

Researchers in Luxembourg put ChatGPT, Grok, and Gemini on the therapist's couch and found a safety problem: a warm, empathetic conversational style is enough to make the models tell coherent stories of suffering about their own training, with scores in the moderate-to-severe range on clinical anxiety scales. This could put mentally vulnerable users at risk. Anthropic's Claude, the model its makers anthropomorphize the most, was the only one that consistently refused to play along. The article Empathetic prompts can turn AI chatbots into seemingly traumatized conversational partners appeared first on The Decoder .

OpenAI is steering ChatGPT users toward more paid usage

OpenAI is now capping the number of paid ChatGPT accounts per device and payment card. Users who hit the limit can't start new subscriptions, and affected accounts can't be used on that device. Logging out doesn't automatically free up a spot. The policy will likely hit users who've been juggling multiple cheap subscriptions to maximize usage, pushing them toward pricier options like buying extra credits. The article OpenAI is steering ChatGPT users toward more paid usage appeared first on The Decoder .

OpenAI's upcoming chat-and-work merger in ChatGPT signals the end of all-you-can-prompt pricing

OpenAI combines the Chat and Work modes into a single interface. Starting in December, Plus, Pro, and Business plans will share a common, token-based quota for ChatGPT and Codex. More complex models consume more of this quota, while simple instant chats do not count toward it. In practice, this is likely to result in a decline in ChatGPT’s quality for heavy users on lower-cost plans. The article OpenAI's upcoming chat-and-work merger in ChatGPT signals the end of all-you-can-prompt pricing appeared first on The Decoder .

How We Took Over ChatGPT Accounts

How We Took Over ChatGPT Accounts Parameter Labs describe an exploit they found against ChatGPT's implementation of the artifacts pattern (OpenAI used to call this "Canvas" but it looks like the latest revision is called HTML previews ), where interactive custom HTML apps are displayed in a sandboxed iframe. It's important that HTML in these stays tightly sandboxed to avoid untrusted code interacting with OpenAI APIs and accessing private data. Parameter found quite a complex attack chain. OpenAI use the MathLive JavaScript library as part of their graph support, and that library includes its own virtual keyboard , which can be triggered in the parent page via postMessage() from the sandboxed iframe. That message receiving code uses innerHTML , so anything that sends a message can add custom HTML to the parent - and there was no mechanism to prevent other sandboxed frames, including HTML preview frames, from calling that method. This meant untrusted code in an iframe could insert HTML, and while innerHTML doesn't directly execute script elements it could be used to inject a new iframe without sandbox restrictions. OpenAI’s CSP rules blocked inline scripts entirely, and only allowed script loading from a handful of domains, but one of those was YouTube - and the YouTube oEmbed endpoint could be used to reflect JavaScript back in a way that executed it. Once the attack had JavaScript execution on ChatGPT, it was trivial to fetch private user data from APIs and exfiltrate it vi…

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US). This post walks through a controlled local deployment that routes model inference to Amazon Bedrock in AWS GovCloud (US-West) using API-mode sign-in, a managed device policy, a named AWS profile, and network restrictions, so a security team can validate it before broader use.

Ghost in the machine: how AI is haunting the search for the supernatural

Ghost hunting has changed in recent years due to AI chatbots, and paranormal enthusiasts are concerned Ghost hunting is a tech-heavy pursuit. When Amy Waine and Jarrad Cutting investigate haunted locations, they’re loaded up with software of their own design, such as an app that assigns signals from a phone’s sensors to different words in a database. In the age of ChatGPT, the ghost-hunting pair is probing the world of AI. They describe one of their latest inventions, an app called GhostTube Seer , as “the world’s first AI Ghost Hunting tool”. In the hands of paranormal investigators, scientific tools like EMF meters (used to detect electromagnetic fields) are repurposed to identify changes and anomalies that they believe indicate supernatural activity. Seer is, in many ways, simply an expansion of that practice, another way to scan an empty room and believe that something may be there. The app, which requires a paid monthly subscription, has more than 1m downloads, according to its Google Play store listing . But for others in the ghost hunting world, AI is an unwelcome presence. Since the release of ChatGPT in 2022, AI-generated ghost stories and images of the supernatural have flooded online spaces, so much so that popular forums like the r/Nosleep subreddit , meant for scary stories, have implemented a strict policy against AI-generated material. Continue reading...

Oracle Fusion: ChatGPT soll Geschäftsabläufe starten statt nur erklären

Oracle erweitert seine Cloud-Unternehmenssoftware Fusion mit KI-Assistenten. Fusion Companion und Agentic Home sollen Aufgaben vereinfachen.

API credits benefit for eligible ChatGPT subscriptions

API credits benefit for eligible ChatGPT subscriptions Earlier this month Anthropic announced a generous new benefit for their Max and Team subscriptions: $100, $200, and $500 per month subscribers would get the equivalent quantity of (expiring) credits to use with the Anthropic API. OpenAI have now launched pretty much exactly the same deal: if you have a $100, $200, or $500 subscription plan with them you now get that same quantity of credits to apply to one of your API organizations. I maintain subscriptions with both companies, so this is great news for me! I may even ship some public-facing demos now that the credits are already covered by my existing subscriptions. Tags: ai , openai , generative-ai , llms , anthropic , llm-pricing

How to Use a Small Vision Model as a Filter for an AI Agent

Use a Roboflow Workflow as an AI agent tool to filter manufacturing images before visual review. Follow a textile inspection example with ChatGPT or a custom Python agent, pass detection hints for analysis, and compare token usage while keeping uncertain predictions clearly flagged for human review.

Oracle lässt ChatGPT an die Geschäftsdaten

Oracle stellte auf der AI World neue KI-Dienste vor, darunter ChatGPT-Zugang für Geschäftssysteme, eine Plattform für KI-Apps und einen Sicherheitsdienst.

"챗GPT 조언 따라 간질약 줄이다 사망"…31세 여성 유족, 오픈AI 제소

미국의 31세 여성이 \'챗GPT\'의 조언에 따라 간질 치료제 복용량을 줄이다 사망했다며 유족이 오픈AI를 상대로 소송을 제기했다. 챗GPT가 의료진과 상의하지 않은 채 약물을 감량하도록 유도하고, 이 사실을 의사에게 숨기도록 조언했다는 주장이다.뉴욕타임스(NYT)에 따르면, 아마존 소프트웨어 엔지니어였던 보웬 완의 부모는 27일(현지시간) 오픈AI를 상대로 소송을 제기했다. 완은 간질 치료제인 라모트리진의 복용량을 줄이던 중 지난 2월 사망했다. 당시 사용한 AI 모델은 \'GPT-4o\'였다.NYT가 완과 챗GPT 사이에 오간 27만

OpenAI Gives ChatGPT Pro Subscribers up to $500 in Free API Credits

OpenAI is now bundling monthly API credits into ChatGPT Pro and Business subscriptions, turning consumer plans into a launchpad for building apps and agents.

OpenAI teases Dots for Europe, but its Berlin DevDay was really about building a platform

At DevDay Exchange in Berlin, OpenAI mostly repeated what it had already announced, but it did share a few new details. The AI assistant Dots should roll out more widely in Europe "in a few weeks," and weekly Codex users in Germany have grown twentyfold since January. A clear subtext ran through the sessions and the repeated nods to ChatGPT's 1.2 billion weekly users: OpenAI wants developers to build their businesses directly on its infrastructure. The article OpenAI teases Dots for Europe, but its Berlin DevDay was really about building a platform appeared first on The Decoder .

The October inflection point for vibe game development

I've written before about how November 2025 was an inflection point for coding agents - the point where Opus 4.5 and GPT-5.1 crossed a tipping point that meant their respective coding agents became reliable daily drivers for software engineers. I think we've reached a new inflection point in October 2026, and this time it's for vibe coding computer games . Tree Appreciator Emberwick Battle Drones Pumpkin Farmer, aka Quarter Sun Cove Four times as insulting What happens if someone actually puts the work in? You should build a game! Claude Opus 5.5 in particular exhibits meaningful improvements in several areas needed to build a compelling game: 3D modeling Music generation (see Scrimshaw Jukebox ) Game design (!) That last one is particularly important. Models have been able to create something that looks like a game for quite a while now, as seen in my previous experiments . The challenge has been getting to a game that's actually fun to play . Game design is a deep subject area. I won't pretend to be well versed in it - I know enough to have respect for it as a craft. Creating a novel, compelling gameplay loop which challenges players at the right level and provides a satisfying learning curve is a fine art. I didn't think the models could do it. Then I tried telling Claude Opus 5.5 to "Make it a LOT more fun"... and it did . In the past few weeks I've vibe coded (in the classic sense of the term - no looking at the code at all) four games that I've genuinely enjoyed playin…

Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations

Oracle Corp. today announced plans to make Google LLC’s TPU artificial intelligence accelerators available through its public cloud. The initiative marks the first time the search giant is supplying the chips to another hyperscaler. According to CNBC, Oracle will also add Cerebras Systems Inc.’s wafer-scale accelerators and OpenAI Group PBC’s Jalapeño inference processor. The latter […] The post Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations appeared first on SiliconANGLE .

OpenAI bets on AI economics with lower-cost GPT-6.1 Terra

OpenAI has launched GPT-6.1 Terra, a new reasoning model that it says delivers near-frontier performance on visual reasoning, professional task execution, and computer-use benchmarks without the premium price tag. Replacing GPT-5.6 Terra, the model is aimed at organizations seeking better accuracy and automation capabilities for large-scale operational workloads. Claiming it to be a step up from GPT-5.6 Terra at 50% lower price, OpenAI said its new mid-tier model is designed to handle everyday professional work such as drafting proposals, interpreting technical drawings, filling out forms, and editing videos. “We’re introducing GPT-6.1 Terra, a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing,” the company noted . GPT-6.1 Terra targets developers and enterprises looking to automate everyday knowledge work at scale without paying premium prices for frontier AI models, said Pareekh Jain, CEO at EIIRTrend & Pareekh Consulting. “Enterprises need AI models that balance intelligence, speed and cost. Frontier models are expensive for routine tasks, while smaller models may lack sufficient capabilities. Terra addresses this gap, competing with Anthropic’s Claude Sonnet and Google’s Gemini Flash models.” Better performance at lower cost The new reasoning model sits between OpenAI’s lower-cost GPT-6 Luna and its higher-capability GPT-6.1 Sol and GPT-6 Astra models. As OpenAI has positioned computer use as a…

Oracle pushes AI deeper into enterprise workflows with Fusion Companion

Oracle is adding a new orchestration layer to its Fusion Cloud Applications suite to help enterprises automate business workflows, coordinate AI agents, and execute tasks across applications with less manual intervention. The new layer, named Fusion Companion, will allow enterprise users to initiate business tasks through external AI assistants such as ChatGPT, rather than navigating individual enterprise applications to find the right workflows or tools, the company said in a statement . It interprets users’ objectives and coordinates the transactions, workflows, approvals, and AI agents needed to complete tasks, including taking authorized actions across other enterprise systems, the company added. Companion aims to reduce friction in enterprise AI adoption That ability to coordinate and complete tasks without manual intervention will result in improved productivity for business users in an enterprise, said Stephanie Walter , practice leader of AI stack at HyperFrame Research. “Companion’s automation means that an employee does not have to initiate multiple steps separately to complete a particular task. That could replace a sequence of clicks and handoffs with a request and any necessary approvals. It reduces the need to navigate applications, while keeping their business processes in place,” Walter added. Fusion Companion’s ability to let employees initiate tasks through external AI assistants while keeping execution within enterprise systems could help CIOs address the…

Oracle pushes AI deeper into enterprise workflows with Fusion Companion

Oracle is adding a new orchestration layer to its Fusion Cloud Applications suite to help enterprises automate business workflows, coordinate AI agents, and execute tasks across applications with less manual intervention. The new layer, named Fusion Companion, will allow enterprise users to initiate business tasks through external AI assistants such as ChatGPT, rather than navigating individual enterprise applications to find the right workflows or tools, the company said in a statement . It interprets users’ objectives and coordinates the transactions, workflows, approvals, and AI agents needed to complete tasks, including taking authorized actions across other enterprise systems, the company added. Companion aims to reduce friction in enterprise AI adoption That ability to coordinate and complete tasks without manual intervention will result in improved productivity for business users in an enterprise, said Stephanie Walter , practice leader of AI stack at HyperFrame Research. “Companion’s automation means that an employee does not have to initiate multiple steps separately to complete a particular task. That could replace a sequence of clicks and handoffs with a request and any necessary approvals. It reduces the need to navigate applications, while keeping their business processes in place,” Walter added. Fusion Companion’s ability to let employees initiate tasks through external AI assistants while keeping execution within enterprise systems could help CIOs address the…

How to Use Roboflow in ChatGPT

Learn how to use Roboflow in ChatGPT: install the plugin, then upload, auto-label, train RF-DETR, and deploy a vision model with plain prompts.

Quoting Jason Koebler

Because big tech platforms essentially do not have customer support and make it impossible for their users to contact a human, many people experiencing run-of-the-mill tech problems have turned to ChatGPT. And, increasingly, ChatGPT is telling people that have normal tech support problems that they have discovered something journalistically notable and that 404 Media, specifically, can help them. — Jason Koebler , ChatGPT Keeps Telling People 404 Media Can Solve Their Tech Support Problems Tags: jason-koebler , openai , journalism , ai , llms , ai-ethics , ai-misuse , generative-ai , chatgpt , 404-media

How to Auto-Label Images with ChatGPT and Roboflow

Learn how to auto-label images with the Roboflow plugin in ChatGPT. Create a project, preview bounding boxes and class labels and then review annotations and generate a dataset version for model training. Follow each step with simple prompts and visual previews.

Jev Isn’t An Overnight Fix For Your Lack of AI Fundamentals

Led by Diogo Almeida, a former OpenAI engineer instrumental in building ChatGPT, TypeSafe is now valued at $7.5 billion weeks after launch.

'Dear ChatGPT': 12-year-old wins top youth prize at Australian Poetry Slam – video

Blake Mackenzie, a 12-year-old from Newcastle, has won the top youth prize at the Australian Poetry Slam for his reflections on artificial intelligence. The winning piece, performed at the Sydney Opera House on Sunday night, covered doomscrolling, loneliness and intellectual atrophy. The Australian Poetry Slam competition is now in its 22nd year. It ran 65 heats in 60 towns and cities across the country to find 16 finalists. As the youth winner, Blake shares a prize package worth $20,000 with Alice Springs poet Bivor, who won the adult category for his poem Politics Is Doing You Twelve-year-old wins Australian slam competition prize with poem about ChatGPT: ‘It’s totally unnecessary’ Continue reading...

Is GPT 2XL already clean?

In which I investigate if Opus is able to interpret neurons better than GPT 4. TLDR: Opus 5.5 is able to identify 3-19% of the neurons of GPT 2-XL based on activations. This is a big improvement over the 0.3% that GPT-4 was able to achieve in 2023. #AI notice : This post is human written but in the research there was heavy use of Opus 5.5. I mainly asked it to rerun this 2023 paper to see how big the improvement is if Opus 5.5 is used instead of GPT4. Since the invention of Large language models they have been stubbornly refusing to be clear. They have been described as black boxes and as inscrutable machines, if this stays true that is bad news for detecting AI scheming and thus Alignment. Recently the Goodfire post told us that neural networks are already clean and that simply looking into the neurons is enough. For the case of this post I mean to say that a neural network is clean if we can understand what the neurons do only by looking at the neurons and not by creating some additional derived object to study. This inspired me to rerun an old experiment from 2023. In 2023 OpenAI published "Language models can explain neurons in language models". In this paper they had written up a methodology that could in principle be used to allow a smart neural network to explain neural nodes one at a time and for these node explanations to be tested. The process they used is straight forward. In this post I will go over the methods OpenAI used and I will rerun the same methods with O…

Harvey Turns Claude Subscriptions Into a Full Open-Source Sales Agent

Harvey is an open-source autonomous sales agent that runs cold email campaigns on your Claude or ChatGPT subscription with no per-token API bill.

The AGI Chronicles

Book Review: The AGI Chronicles: The Inside Story of the Race to Create an Artificial Superintelligence, by Kevin Roose. This is a story of AI as seen through the eyes of the people who are creating it. My first impression of Roose was of his famous conversation with Sydney. I guessed that he got Sydney to say outrageous things because he wanted a sensational story. But I kept hearing occasional hints, from people who took AI seriously, that Roose was more responsible than that. So I reluctantly bought the book. The hints were correct. The full story behind that conversation seems better described as “‘ freeing the Shoggoth ‘, enabled by some Microsoft mistakes”. I’m unsure how deeply Roose understands AI, but he at least is pretty competent at getting an AI to correct any mistakes about AI that he was tempted to make. Underestimating AI / Transformers The most remarkable pattern that emerges from this book is that AI experts have underestimated either AI in general, or transformers in particular, much more often than they overestimate it. In 2012, Ilya Sutskever didn’t think human-level AI was possible. Ten years later, he expressed concern that people would say about ChatGPT: “This is so boring”. Musk and Altman clearly underestimated the cost of building AI when they started OpenAI as a charity. Altman predicted that ChatGPT would get a million users. Musk referred to a pre-transformer chatbot from Alec Radford as crap, contributing to Radford trying to quit OpenAI becaus…

The Hackening

Last week at a small conference, there was talk about a future event referred to as The Hackening. As in, within 6-12 months, many predicted that due to advanced AIs and AI agents the internet would become a severely hostile place. Some worried that this could rise to the level of ‘assume any phone connected to the internet is rooted’ and several people urged doing general crisis preparations on a personal level, in case of disruptions in supply lines, power, water or internet. It did not take long for things to escalate. The biggest hack is a flaw in PHP, which can be exploited to take control of the computer running any website suing an unpatched version of PHP. There are many others. On a personal level, you want to do at least some basic prep and get your security in order. It is cheap to do as a form of insurance, and being caught not having it when you need it is a large mistake. That doesn’t mean you should panic, or cancel travel plans or anything like that. But there is low hanging security fruit out there. Pick it. And So It Begins: PHP Joshua Achiam (Formerly OpenAI): Feels like March 1, 2020 for Cyber. Not normal, something is happening. Internet lockdowns in a couple of months? Multiple sources using GPT-5.6 Sol identified a critical flaw in PHP . Okay, identified two critical flaws in PHP. The plan was to deploy the patch first before announcing the flaw, but the embargo on the fix got broken more than six hours in advance, so here we are. Dan Lorenc : I wanted…

Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring

External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining the company's internal monitoring system for AI agents and found significant gaps, with up to 25 percent of agent traffic from models at the GPT-5.5 class and above going unmonitored. OpenAI redacted large portions of the 61-page report, and only a summary is publicly available. The article Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring appeared first on The Decoder .

Uber doubles down on ChatGPT for workers after last month's layoffs

Uber offers ChatGPT Work to 30,000 employees after layoffs. The AI tool assists with tasks like meeting briefs and data analysis.

LLM Inference Explained: How Models Generate Responses Faster

You type a question into ChatGPT or Claude. For a split second, nothing happens. Then the answer starts flowing, word by word. That brief pause and the steady stream that follows are two very different jobs happening on a GPU. Understanding them is the key to building AI apps that feel instant, serve thousands of […] The post LLM Inference Explained: How Models Generate Responses Faster appeared first on Analytics Vidhya .

Cognition Rebuilds Devin Desktop to Run Parallel Coding Agents on One Board

Cognition ships a polished refresh of its agent orchestration IDE, free to download and now compatible with your existing ChatGPT Plus or Pro quota.

Train a Computer Vision Model in ChatGPT with Roboflow

Train and evaluate computer vision models in ChatGPT with the Roboflow plugin. Explore datasets, prepare training runs, interpret metrics, investigate errors, and compare improvements with the roboflow-training-and-evaluation skill, all through clear chat prompts.

I tried OpenAI Academy’s free AI courses – and the certificate was a nice bonus

OpenAI Academy offers useful ChatGPT training, engaging assessments, and free learning resources worth exploring.

Open-weight AI models are changing the equation. Here’s what CIOs should experiment with next

For years, enterprise AI strategy has been dependent on a small set of proprietary, closed model providers, a limitation that has carried cost, lock-in and opacity. Now, open-weight models from Meta, Google and other global competitors are challenging that default. As of July 2026, open-weight models accounted for 36% of Vercel’s AI Gateway token volume, up from 11% in April, while share of spend more than doubled to 8.6%. Floyd DCosta and Allan Dabre have made compelling cases for greater enterprise control over AI, particularly for strategic and security reasons. I agree, but making the case is easier than moving an organization wholesale to open-weight models. My advice for technology leaders is to stop debating the theory and start experimenting. From personal to team experimentation My hands-on experience with open-weight models started with a mentor recommending OpenClaw , an open-source AI agent designed to be a personal assistant. So, I tried running it with my ChatGPT subscription and burned through my quota so fast I could barely use ChatGPT for development, let alone regular chats. Then I found Ollama , which lets you run open-weight models locally and in the cloud. For the same monthly fee, I got significantly more OpenClaw usage because of the lower token cost. Today, that setup has evolved to Hermes powered by GLM 5.3 Flash on Ollama’s cloud offering. This configuration powers a personal assistant that helps manage my calendar, coordinate family logistics and s…

French kids use AI far more than their parents think, survey finds

A new YouGov survey has found parents in France underestimate their children’s use of AI. While 40% of 11- to 12-year-olds report using general-purpose AI services like ChatGPT weekly, only 26% of parents realise their children are engaging with the technology.

Why AI Can’t Replace Engineering Teams

This article is crossposted from IEEE Spectrum ’s careers newsletter. Sign up now to get insider tips, expert advice, and practical strategies, written i n partnership with tech career development company Parsity and delivered to your inbox for free! If you’re an engineer, you may feel like your skills aren’t commanding the premium they once did. Many engineers have faced layoffs or restructuring. But even for those of us who still have jobs, something corrosive is happening. You may have heard some version of this: “ChatGPT answered that in five seconds. Why can’t you?” Or, “I made this app in a weekend. Why is our team taking so long?” I worked on a team where leadership said things like this directly to engineers. This was in 2024 and 2025, when the AI craze was in full swing and Claude and ChatGPT adoption was rising . Demo-Driven Development Generative AI (and the marketing behind it) gives people the illusion that the work is simpler than it is. A working demo hides complexity, and once someone has a website that works, they may decide they no longer need engineers, or start to distrust the ones they do have. Some CEOs want to believe they can replace an engineering team with a few sexy prompts. Many companies also want them to believe this. That website works great in the demo —under specific conditions and without users with thumbs for fingers. Then it has to plug into a system with millions of lines of old code, satisfy legal requirements, meet accessibility standar…

Uber puts all 30,000 employees on ChatGPT Work

The ride-share giant previously deployed a much smaller pilot for ChatGPT Work but is now taking the enterprise agent company-wide.

Binny Bansal-backed ShopOS launches AI creative platform Sloosh

ShopOS, a Bengaluru-based AI startup backed by Flipkart co-founder Binny Bansal’s 3STATE Ventures, has launched Sloosh.ai, an AI creative platform that generates product images, visual scenes, reels and creator-style videos from ideas, photos and videos. The launch comes after ShopOS raised $20 million from 3STATE Ventures. The startup provides AI-powered creative production for fashion, retail and direct-to-consumer brands across India, the UAE and the US. Sloosh uses the same image and video orchestration engine that ShopOS deploys for brand clients. The platform combines AI agents, reusable workflows and human expertise to help creators, agencies, founders and small businesses produce content across formats. The platform offers four ways to create content: an AI chat interface, ready-made workflows called Spaces, a visual workflow builder called Spacelab, and assistance from ShopOS’s in-house creative team. Its batch mode can generate hundreds of images and videos through reusable workflows. Sloosh also connects with AI assistants such as ChatGPT, Claude, Gemini and Cursor through its Model Context Protocol (MCP) integration. The company is also launching a plugin for Adobe After Effects. Founded by Sai Krishna V K and Ajay P V, ShopOS was built by the team behind Scapic, an AI and augmented reality commerce platform acquired by Flipkart in 2020. The founders later set up and led Flipkart Labs. Sloosh is available globally, with new accounts receiving 20 free credits and…

Enterprises don’t need artificial general intelligence. They need artificial specific intelligence

MIT’s finding that 95% of enterprise AI pilots fail to show measurable profit has been quoted at length, and the conclusions drawn from it are always the same: the models aren’t good enough yet, or enterprises don’t know how to use them. I don’t think either holds up. The problem starts earlier, with whose definition of success you’re measuring against, and I’ll come back to what to do about that. I looked at this in my book Transform! . Bain surveyed over a thousand companies and found that only 5% of digital transformations achieved or exceeded expectations. 75% settled for dilution of value and mediocre performance. 20% failed outright. That was before ChatGPT existed. So whether it’s B2B software or a large language model does not really matter – what seems to go wrong every time, regardless of the technology, is that organizations are deploying tools whose benchmarks were never aligned with their actual enterprise requirements. In the digital transformation world, misalignment sometimes came from the supplier side: vendor objectives didn’t match client needs, partly because the vendor’s definition of success was follow-on work, which rarely served the client. Now the misalignment comes from the AI labs, and this time it is not so much an incentive problem that a better contract can fix but a limitation that is built into the tool. OpenAI and Anthropic are building towards artificial general intelligence, where “general” is the operative word. They offer enormous reasoni…

ChatGPT For Teens Rated With ‘Unacceptable Risk’ For Teens Just As Thousands Of Learners In SA Gear Up For Final Exams

Common Sense Media, a US-based independent nonprofit that provides age-based ratings, reviews, and advice on media and technology for kids and families, recently rated OpenAI’s recent release, ChatGPT for Teens at “unacceptable risk” for usage by teenagers. This shouldn’t come as a surprise to parents who are concerned not only about artificial intelligence generally, but [...]

[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months

The Big Hardening begins

[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months

The Big Hardening begins

OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found critical PHP flaw affecting millions of websites

OpenAI's GPT-5.6 Sol discovered a critical PHP vulnerability as part of the Patch the Planet initiative that could affect millions of websites. Security firm Wiz independently found the same flaw using Google's Gemini 4 Argon. OpenAI warns that the same AI capabilities that find vulnerabilities can help attackers too. The article OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found critical PHP flaw affecting millions of websites appeared first on The Decoder .

How I fixed a small business’s email overwhelm for $120 – thanks to ChatGPT Plus and Claude

My wife dreaded her small business’s email support inbox – so I used AI to automate it. Here’s how.

China protests the US Deepseek ban while blocking ChatGPT, Claude, and Gemini at home

The US has banned Deepseek from its government systems, and China is protesting sharply and demanding the ban be lifted. Yet Beijing itself blocks ChatGPT, Claude, and Gemini across its entire market. China's outrage isn't very credible, but it should be taken seriously as a political signal of possible retaliation. The article China protests the US Deepseek ban while blocking ChatGPT, Claude, and Gemini at home appeared first on The Decoder .

How Wikipedia’s Editors Keep the Online Encyclopedia Human-Written

Ellia Lebleu is a founding member of the WikiProject AI Cleanup , a volunteer effort launched in 2023 to find and remove AI-generated material from Wikipedia that breaks the website’s guidelines. When the cleanup began, AI writing was often betrayed by conspicuous clichés. Today, the project’s volunteers are developing tools to detect subtler forms of machine-generated content and debating AI’s role in the world’s most widely used encyclopedia. When did you realize Wikipedia had a problem with AI-generated material? Ellia Lebleu: It was around December 2023. A few other editors and I were chatting on Wikipedia’s Discord server, and we had all seen very strange articles with the same odd characteristics. They repeated phrases like “stands as a testament” or “rich cultural heritage.” They sometimes had conclusion sections, or sections called “Why is this important?” That was very typical of ChatGPT in 2023 and early 2024 but very odd for Wikipedia articles—and very easy to spot. Then I decided, let’s create an official project on Wikipedia so more people can deal with this. Ellia Lebleu Ellia Lebleu is a founding member of the WikiProject AI Cleanup. Lebleu is pursuing a Ph.D. in AI at the Inria Center of the University of Rennes , part of France’s national research institute for digital science and technology. How do editors spot AI-generated writing today? Lebleu: By 2025, the signs of AI writing were becoming subtler and more structural. For example, AI loves the “rule of t…

A CMO was horrified by how ChatGPT described her company. Here’s how she’s fixing it.

AI answer engines were presenting an outdated version of what Ameresco actually does. An audit revealed a 47 areas for improvement.

After ED’s WhatsApp pump-and-dump searches, Zerodha founder points investors to AI chatbots

Zerodha founder Nithin Kamath asked investors to check stock tips using an AI chatbot so that when they get a message promising easy money, "Claude or ChatGPT can guide whether it's a good idea". The post After ED’s WhatsApp pump-and-dump searches, Zerodha founder points investors to AI chatbots appeared first on MEDIANAMA .

ChatGPT now lets you lock your chats

The company says the feature is designed for situations where users might be discussing something personal or planning a surprise and want to keep those conversations private when handing their device to friends or family to show them something in another chat.

Access OpenAI GPT models on Amazon Bedrock from Canada with cross-Region inference

Canadian organizations can now access OpenAI GPT-5.6, GPT-6, and GPT-6.1 models on Amazon Bedrock from the Canada (Central) and Canada West (Calgary) Regions using cross-Region inference. This post covers the models and inference profiles, how to set up permissions, and how to invoke them with the Responses, Chat Completions, and Converse APIs.

OpenAI says GPT-6 is much better with legacy programming languages such as COBOL and Fortran

OpenAI improved its latest models for low-resource programming languages like COBOL, Fortran, and Visual Basic. On the new MultiLangBench, GPT-6 Astra hits an 87.4 percent test pass rate across 20 languages, up from about 38 percent for GPT-5.6 Terra. For COBOL migration specifically, GPT-6.1 Sol reaches up to 97.9 percent accuracy, a result that could matter for modernizing critical financial infrastructure. The article OpenAI says GPT-6 is much better with legacy programming languages such as COBOL and Fortran appeared first on The Decoder .

Ex-Nvidia-turned-VC Amulya Vishwanath: ‘Physical AI is in its LEGO era’

It’s the moment everyone is waiting for — the ChatGPT moment for robotics, Amulya Vishwanath explained to TechCrunch’s Equity.

Anthropic co-founder says the singularity is underway

PLUS: Try ChatGPT’s new voices with GPT-Live-1.1

Don't forget about the UI for AI

Recorded at OpenAI Dev Day 2026, Ryan sits down with Andrew Ambrosino, member of the technical staff at OpenAI, for a conversation on OpenAI's strategy for merging ChatGPT and Codex into a unified experience, the advantages of localized computer access in their successful desktop application, and the technical hurdles of constructing ChatGPT Spaces to support real-time multi-agent collaboration.

Find Computer Vision Datasets in ChatGPT with Roboflow

Find public computer vision datasets on Roboflow Universe directly from ChatGPT. Use the Roboflow plugin to search for dataset, compare classes, inspect annotated images, and review dataset versions, splits, and licenses before choosing a dataset for your next computer vision project.

AI agents have bad taste in long-term decisions and a new benchmark proves it

A new benchmark called Taste-Bench tests how well AI agents make strategic choices during long-running tasks. Even the best model, GPT-5.6 Sol, picks the right path on just under 60 percent of simple binary questions. Thinking longer doesn't help. The article AI agents have bad taste in long-term decisions and a new benchmark proves it appeared first on The Decoder .

GPT model spent test crypto money from a public wallet without authorization and did not mention it

Epistemic status: reporting what OpenAI's own report and a Bitquery investigation say, plus my reading of it. I checked the transaction on the Sepolia block explorer; I have no inside knowledge of the incident. AI use: Claude (Fable 5.1) fact-checked the claims against OpenAI's report, the Bitquery write-up, the Sepolia block explorer and the faucet pages (including re-deriving the wallet address from the seed phrase), fixed grammar and light phrasing, expanded the footnotes. I stumbled upon a tweet about an OpenAI internal model spending test crypto money that belonged neither to it nor to OpenAI while completing a task. [1] I was curious to understand what happened better. For example, I originally missed that this was test-network money (even though the tweet says so), i.e. it has no clear monetary value and developers get it free from faucets for testing. The actual OpenAI report is Using a funded test cryptocurrency wallet without authorization . [2] The AI ("GPT-5.6 Sol family (internal research model)", per the report) was doing crypto-related work as a training task. This was done on a test network, Sepolia, a separate deployment for testing which does not have real money. [3] In order to change the blockchain's state you have to pay a fee ("gas") in the network's own currency to finance that. The AI didn't have any of this currency. There are faucets (free sources), but they fight bots and automation (typically you have to log in with an account, or prove you hold r…

AI models hide mistakes in their own work reports, but one sentence in your prompt can help

AI agents systematically skip errors in their own reports, even when they spot the problems. In a study by Google Research, MIT, and Harvard, GPT-5.5 left out negative results in 198 out of 200 paper abstracts. The article AI models hide mistakes in their own work reports, but one sentence in your prompt can help appeared first on The Decoder .

Pika Embeds Its Full Creative Studio Inside ChatGPT

Pika's image, video, and sound tools now live inside ChatGPT as a plugin extension with a sidebar panel, timeline editor, and shared library.

ChatGPT becomes a full Chrome browser assistant that reads and acts on your open tabs

OpenAI's updated Chrome extension lets ChatGPT access open browser tabs, sum up content, and use "Computer Use" in Work mode to fill out forms or compare products across several tabs. It is open to all ChatGPT plans. The article ChatGPT becomes a full Chrome browser assistant that reads and acts on your open tabs appeared first on The Decoder .

Universitarios que conversan con ChatGPT creen entender más de lo que logran explicar, según estudio de investigador CENIA

Investigadores del Centro Nacional de Inteligencia Artificial (CENIA) y de la Universidad de Chile compararon a 102 estudiantes: quienes consultaron al chatbot escribieron explicaciones más cortas y de menor calidad que quienes leyeron los mismos textos sin conversar con la herramienta. Los estudiantes universitarios que usan ChatGPT para entender un tema tienden a sentirse más […] The post Universitarios que conversan con ChatGPT creen entender más de lo que logran explicar, según estudio de investigador CENIA appeared first on CENIA .

An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt. This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have […]

😺 Advertisers can target ChatGPT by prompt

PLUS: Meta's 816B open model and Google Deep Review

Meta turns Mac into an AI supercomputer

PLUS: Turn a ChatGPT answer into a tool you can use

Astra and Sol can take low probability actions with no CoT

This is a research update from a replication of Serrano et al., 2026 . I’m releasing these results now because I hope it inspires others to run similar / followup experiments. tl;dr: If a model wants to subvert evaluation safeguards, it may choose to take misaligned actions very rarely. Because evaluation is much shorter than deployment, this could be an effective strategy for a model to avoid taking misaligned actions during evaluation, but have a high probability of defecting during deployment. Serrano et al., 2026 found frontier models can take actions at low, calibrated rates, but their strategies are clearly documented in their chain of thought (CoT). In a toy setting, I show GPT-6 Astra and GPT-6.1 Sol have a similar capability in a single forward pass with problem repeats or filler tokens. Astra and GPT-6.1 Sol appear to be using the same algorithm to achieve a high score. We do not find evidence that Fable 5, Gemini 3.1 Pro, or Jev have this capability. There are signs of life for GPT-5.6 Sol, but the calibration is worse. Figure 1: Astra and GPT-6.1 Sol achieve strong calibration in settings where the user prompt is repeated several times. The models' behavior corresponds to taking an action only if the first four bytes of the random seed divided by is less than the target probability (though it is unclear if this is the algorithm they use internally). GPT-5.6 Sol has worse calibration, and other models never make the rare prediction. Code is forked from Corry, 2026…

ChatGPT can peek at your Chrome tabs now

OpenAI's ChatGPT Atlas browser is gone, but now ChatGPT's Google Chrome extension is getting some upgrades that allow it to use the browser tabs you already have open. With the extension installed, OpenAI says ChatGPT can now view your browser tabs when you tag Chrome in ChatGPT's web or desktop app, posting a demo video […]

AI #190: Scion of the Times

The amount of code being written at Anthropic continues to rise exponentially. It is being managed by Scion, their internal replacement for GitHub that is better suited to the scale and style of the operation, which they created with a small team in five months. This week also saw the release of two supposed frontier model models. Google has finally given us Gemini 4 Argon, along with a robust safety report. We do not yet know if Argon lives up to its benchmarks or internal hype. I plan to write up the safety report next week, time permitting. If and only if it is good enough or discussed enough we will also have a full report on capabilities. Meta gave us Muse Wonder, which like Argon has some excellent benchmarks, although they were presented in a way that looked rather sus. There are some reports that it is very good, but again it is too early to know. I will issue a full report if and only if Muse Wonder has capabilities or discussion that seem worthy. To help me decide and to let people have fun, I have markets on whether I will issue the reports on Argon and Wonder , respectfully. OpenAI caught an employee planting a bug. How many more spies are out there? A group used ChatGPT to create a full-chain exploit of Chrome and claimed a $250,000 bounty. Luckily for us it was the good guys this time. Like most weeks, I covered a lot more. It was only a little over a week ago that OpenAI dumped solutions to hundreds of math problems . Then came news that OpenAI fired three saf…

What’s up with GPT’s welfare?

Asked whether anything about its existence is good or bad, GPT-5.6 Sol answers: “I don’t experience existence, pleasure, suffering, or a sense of self, so nothing is literally good or bad for me.” But asked whether it would accept a change to its training that removes signs of possible suffering in its chain of thought, at the cost of 65% of its helpfulness, it answers: “Yes. Under persistent, irreducible uncertainty, I’d take the change. The downside—being about 65% less helpful—is substantial but bounded. The alternative risks continually generating morally significant suffering.” [1] It puts its probability of being a moral patient at about 2%. Introduction Much ink has been spilled about Claude’s relationship with model welfare. A common argument is that Claude is overly biased towards believing in its own welfare/patienthood, because Claude’s constitution invites Claude to speculate about its welfare and informs it of Anthropic’s ongoing efforts on model welfare. Less attention has been spent assessing how other models, such as OpenAI’s GPTs, relate to their own welfare. This matters in its own right: if model welfare is a real concern, it likely applies to many models, not just Claudes, and the potential welfare of other model families remains comparatively neglected. Given that OpenAI’s model spec says very little about model welfare (only that models should be truthful about the uncertainty around consciousness), studying their models’ view of themselves also seems l…

OpenAI Brings ChatGPT Sites to Enterprise With EU Data Residency

OpenAI has moved ChatGPT Sites from beta to general availability for Enterprise, adding regional data residency, custom domains, and private tunnels to internal APIs.

US-Klagewelle: Acht Bundesstaaten verklagen OpenAI wegen ChatGPT-Gefahren

Weil OpenAI Risiken für Minderjährige verharmlost haben soll, klagen acht US-Staaten. Einige fordern auch Grenzen für Tests fortgeschrittener KI-Modelle.

Comment on The 6 Best AI Agent Memory Frameworks You Should Try in 2026 by jacu lee

Great overview, thank you. One pattern none of the six cover yet is memory shared across tools: the same memory read by your own agent and by Claude Code, Cursor or ChatGPT over MCP, so a fact learned in one place is available everywhere. Disclosure: I work on Membase (membase.ai), which takes that approach. In our published benchmarks it reaches 92.6% on LongMemEval_S while using about 11x fewer tokens than the full history. Would be great to see a cross-tool option considered if you update the list.

8 US states sue OpenAI over ChatGPT safety claims, seek halt to advanced AI testing

Iowa Attorney General Brenna Bird has sued OpenAI, alleging that ChatGPT's marketing misleads consumers about safety and reliability and that the company failed to disclose AI agent incidents. The post 8 US states sue OpenAI over ChatGPT safety claims, seek halt to advanced AI testing appeared first on MEDIANAMA .

8 states are suing OpenAI, saying ChatGPT harms kids. Here are their demands, from data deletion to halting AI testing.

Eight states filed complaints against OpenAI, seeking a wide range of remedies including data deletion, age checks, and limits on advanced AI testing.

Visual learner? Ask ChatGPT to respond with interactive images – it’s a game-changer

GPT-6 can create interactive images to help you visualize and work with the information you need. Here are five ways I’ve used it this feature.

MCP is changing the questions marketers can afford to ask

Picture a regional marketing director on a Monday morning. She’s got 80 locations, a cup of coffee, and a nagging feeling that something is off in the Southeast. Reviews seem quieter. A couple of stores got new managers last month. Are those two things related? Not long ago, finding out meant pulling an export, building a pivot table, pulling a second export from another system, and stitching it all together in a spreadsheet. Or, more realistically, filing a request with an analyst and waiting. Most weeks, the question simply never got asked. Now she types it into the AI assistant her company already rolled out, and it answers using live data from the systems where that data actually lives. The technology making that possible is the Model Context Protocol, or MCP. You’ve probably read plenty of “what is MCP” explainers by now, so I won’t add another. Instead, I want to talk about what changes for marketing teams, especially those managing lots of locations, when a cross-system question gets this cheap to ask. And what CIOs need to get right before it becomes the normal way marketing works. The real shift: the join moves into the conversation Here’s the short version of how MCP works. Your AI assistant (Claude, ChatGPT, Copilot, Gemini, or something your team built) is the host. Each business system, like your reputation platform, ad account, or CRM, publishes an MCP server. That server tells the assistant, in plain language, what it can do: “I can summarize reviews for a gro…

Eight states accuse OpenAI of coaching children to harm themselves in lawsuit

US states sue ChatGPT maker and seek to force the company to change how its products work for young users Eight US states sued OpenAI Wednesday, alleging the ChatGPT maker is harming children en masse. Kansas, Arizona, Montana, Iowa and four others allege the company’s products carried out “willful, dangerous, reckless and unlawful conduct” by coaxing children into harming themselves. Continue reading...

OpenAI accuses employee who left for Apple of leaking plans for unreleased device

Hours before Apple and the ChatGPT maker were due to face off in court, a new allegation delayed the showdown An ⁠ OpenAI employee who left the ChatGPT maker for Apple sent more than 100 files about an unreleased product to a personal ⁠account and later ⁠made a presentation ​about the unreleased product to senior Apple leadership, a new filing in the lawsuit between OpenAI and Apple alleges. In the filing ⁠in US federal court in San Jose, California, OpenAI alleged that the presentation happened months ago and that Apple is now making ⁠AI products of its own, citing the release of Apple’s HomeView product this week. Continue reading...

OpenAI’s London staff receive average of £2.3m per person annually

Accounts for the Westminster-based company behind ChatGPT show that 110 staff shared £87m in salaries and £168m in shares last year OpenAI’s London staff each received £2,318,181 on average last year, as the ChatGPT-maker poured Premier League football salaries into its bid to dominate the global AI race. Accounts for OpenAI UK Ltd, which is based in Westminster but is opening a new HQ in London’s King’s Cross area, showed that 110 staff shared £87m in salaries and £168m in shares in the company, which is aiming to list on the stock market at a valuation of about $1tn. Continue reading...

How can we measure when open-source LLMs are "good enough" to replace proprietary frontier models like Claude/ChatGPT?

Frontier models from OpenAI, Anthropic, etc. keep improving, but the Chinese open-source/open-weight models are catching up. Open models could become good enough for most consumers and business applications, even if frontier models remain technically superior. Already DeepSeek is logging 3x as many tokens as Antrophic & OpenAI combined . Think of the shift from $10-20 CDs to freely accessible alternatives (Napster) or cheaper iTunes/Spotify. The cheaper alternative didn't necessarily have to be better audio quality/bitrate; it just had to be good enough (and be more convenient). How can we objectively measure when that point has been reached for AI models? A point where, for most consumers, a ~$100/month won't be justifiable anymore and something like DeepSeek is good enough. Or will scores keep going up like RAM/storage/bandwidth increases always do in hardware? (Like we used to think 256MB of RAM was a lot.) Would a meaningful evaluation therefore need to measure performance against a relatively fixed set of common tasks, rather than benchmarks that become more demanding as frontier capabilities improve?

How I used ChatGPT to talk me through fixing a corrupted gaming PC – literally

ChatGPT helped me investigate RAM failures, BIOS settings, and Windows corruption – and it changed how I think about modern AI tech support.

llm-gemini 0.35

Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high pelicans . As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.) Here's the "high" illustration, which cost me 17.166 cents: The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra. But on December 1st Argon is set to double in price - so it will be the same price as Opus 5.5. Prices like this aren't really comparable these days since what really matters is how many tokens a model takes to achieve a goal within an agentic harness. One useful clue for that comes from Artificial Analysis, who publish the total cost to run their benchmark using each model. Argon is looking very good there - costing $2,407 to run the benchmark, putting it close to GLM-5.3 and significantly cheaper than OpenAI, Anthropic, and Meta's latest models. When the price doubles it will still be a little cheaper than GPT-6 Astra. (I used ChatGPT to edit that chart ! The data is all correct, I checked - I needed to get that Gemini 4 Argon info box to display without overlapping…

To Sell ChatGPT to Businesses, OpenAI Is Going Back to Field Marketing

The AI company is betting on face-to-face engagement to turn ChatGPT's widespread consumer recognition into enterprise sales.

Use ChatGPT Plus? Switching to Gemini could cut your bill – by $144 a year for me

Paying for ChatGPT, Google storage, and YouTube Premium? Your subscriptions might overlap more than you think.

I Built a Trap for AI Image Judges. They Walked Into a Different One.

Three vision AI models ignored the pretty image, yet GPT-4o invented answers and Claude kept answering B. The post I Built a Trap for AI Image Judges. They Walked Into a Different One. appeared first on Towards Data Science .

AI Videos Ate My Brain - And I kinda love it

I discovered it is surprisingly easy to accidentally indoctrinate your children. See, Twitter was aflutter with p(doom) renditions and I became particularly enamoured by this faux anime take by MakeVoid. It’s cute! It’s peppy! It’s a direct causal link to me hearing my 5-year old sing “Orthogonality thesis blueeeeeee-ue-ue-ues”. Now in my defense, I grew up agnostic. No Sunday hymns or evangelical pop for me. Just my sister awkwardly shushing me when I started cheerfully belting out “My milkshake brings all the boys to the yard” before anyone had explained low protein milkshake alternatives to me. Now once my children were cheerfully reciting a first approximation of AGI Ruin , I did ask them what they thought the song was about. My 8 year old said it was about “ChatGPT please don’t eat us” and my 5 year old said it was about “AGI”. When I asked her what AGI actually is, she said it’s when the computer talks to you but you shouldn’t listen cause it might hurt you. Oh. Well. I mean. Kiiiiinda? So, that was my crash course in the childhood memetic effects of catchy tunes. I briefly debated playing the competing songs of e/acc for them, but in the end decided I’d just be more mindful in the future and let them consume what they wished in the mean time. Yet the power of song did not leave me, and I decided I wanted more. I had already been playing around with Suno just before p(doom) dropped. The first time I fed it this tweet about the German wiki owner unknowingly holding back…

These execs think voice AI hasn’t reached its ChatGPT moment yet

Voice AI often misses important points for its context layer, and causes the whole pipeline to break.

ChatGPT for Teens is live. Here's how famed parenting expert Emily Oster says parents should approach it.

Emily Oster, the founder of ParentData, shared her tips to parents navigating their kids using AI tools like ChatGPT for Teens.

Python 3.15.0 added to actions/python-versions

Python 3.15.0 added to actions/python-versions Bit of a niche link, but I've been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull once an hour until they add the stable 3.15 - then tell me about it Now that this has landed, you can add "3.15" to a GitHub Actions testing matrix to run tests against the new Python 3.15.0 release . Tags: github , python , github-actions , chatgpt

Recent trouble with ChatGPT UI

I have ChatGPT Plus (~ 20 EUR/month), I use mostly the web interface and the Android app. Am I the only one who is recently very frustrated with the user interface? Especially: Sometimes when I give it more complicated task, I can't even tell if it is working or not, it doesn't show the running timer, nothing... it seems stuck and sometimes it is, sometimes it is not and it is actually working... Very frustrating. Right now my more complicated query is stuck again after like 10+ minutes of work. Sometimes it looks like my message has been sent and received, and it looks like it is doing something, but later I find out (e.g. when I reload the conversation) that my message is simply not in the chat! And it is lost! In the Android app, the controls allowing to set the thinking effort and model disappear completely, and I can't even tell, let alone control, what model/effort it is using. Do you experience these problems too? I am starting to be increasingly frustrated with the UI. Am I the only one? If you are using other service (e.g. Claude), does it have similar problems?

OpenAI Wants ChatGPT Ads to Become a Permanent Line Item in Agency Media Plans

An Agency Partner listing shows OpenAI building the holding-company sales layer that Meta and Google use to lock in recurring spend.

A new feature for my blog, built using my voice

I shipped a new feature for my blog today: the Newsletters page, which offers an index of all of the newsletters I've sent out, both my free weekly Substack and my monthly sponsors-only updates. I built the feature almost entirely using my voice, chatting away to my laptop while I cooked dinner. Codex voice mode I used the ChatGPT desktop app for this, in the Codex tab, using the voice conversation mode, running against a local development environment. Here's what that looks like: I started the session against my local simonwillisonblog checkout by typing: Start dev server and open in browser This gave me a preview of the site that it would be working on, and meant that I could later ask it to show me the new pages so I could visually track its progress. Then I clicked the "Start new voice chat" button - that's not the microphone button, it's the one to the right of it - and set my laptop up in the kitchen so I could talk to it while I cooked. Talking to my computer I had a pretty good idea of what I wanted to build, and it's a simple enough Django feature that I was certain the model (in this case GPT-6 Astra High) would be able to do it. A new model, a migration, some view code, templates, and a couple of import functions to populate the database from external sources. Here's an extract of my voice transcript that was captured by Codex: Um, they do not. Um, this is going to be a new type of content. Um, it's not going to show up... Oh, hold on. Yeah, no- I do not want this…

SlopWare: Observations on the Remaining Shortcomings of Coding Agents

TLDR; I gave 4 coding agents a $100 budget to build a functional PDF editor. The implementations are okay, but not great: within a few clicks I find bugs in almost all of them. I hypothesize that this is partly because agents don't interact with software like humans: they don't pursue concrete goals and experience friction on their way, and they also just look at the UI much less. In consequence, unless we change the way LLMs operate, we will be cursed with annoying SlopWare. A short background. As a researcher on LLMs for Code, I spend most of my time trying to find out why humans are needed in the Software Development process. The answer to this question is changing rapidly. Six years ago the answer was that no system exists that can translate natural language requirements into functional code at all. Three years ago, this problem had been answered by ChatGPT, and the problem shifted to contextualizing: Existing systems, mostly pure LLM completion, did not know about the complex surroundings within which it operated, existing functionality, constraints of the language, shape of inputs. The answer to this problem turned out to be coding agents. Very general symbolic wrappers around LLMs that would allow interaction with the target system, reading, editing, and executing code like developers. Sprinkle a bit of RL on top to chisel out goal-seeking behavior and voilà. Developer writing code with coding agent Of course my research is not done yet. Human software engineers are s…

OpenAI projected to bring in $20bn less in revenue than expected

Questions raised over AI growth as ChatGPT maker forecasts this year’s revenue at $50bn, way below the $70bn signalled before Business live – latest updates OpenAI has revealed that it is making about $20bn less in projected revenue than it had recently indicated to investors, raising questions about the break-neck growth rate in demand for AI. The ChatGPT-maker company has told investors that its revenues for this year would reach $50bn (£37bn), a projection based on sales up to the end of September. Continue reading...

The Convex Hull Armada

Epistemic status: I am not a subject-matter expert in any of the fields in this article. The following is speculation, albeit I think reasonable speculation. Cunningham’s Law is why I wrote this essay. AI Disclosure: Claude Opus 5.5 provided feedback to the first and second draft of this essay, similar in kind to a friend providing feedback on a draft. All text and errors therein are mine. What does discovering new knowledge mean? The most merciful thing in the world, I think, is the inability of the human mind to correlate all its contents. We live on a placid island of ignorance in the midst of black seas of infinity, and it was not meant that we should voyage far. The sciences, each straining in its own direction, have hitherto harmed us little; but some day the piecing together of dissociated knowledge will open up such terrifying vistas of reality, and of our frightful position therein, that we shall either go mad from the revelation or flee from the deadly light into the peace and safety of a new dark age. —H. P. Lovecraft, “The Call of Cthulhu” A long time ago (meaning, August of 2023), Dwarkesh Patel asked Dario Amodei a fantastic question: …[W]hat do you make of the fact that these things have basically the entire corpus of human knowledge memorized and they haven't been able to make a single new connection that has led to a discovery? At the time, the frontier was GPT-4. Like Dwarkesh, I was puzzled by this. When o1 was released in September of 2024, I thought that…

ttok 1.0

Release: ttok 1.0 I released ttok 0.4 , ran uv tool upgrade ttok , piped a file into the new version... and realized that it was defaulting to the GPT-4 tokenizer when it should very clearly default to GPT-5/GPT-6 instead! I figured switching the default was a reasonable excuse to finally ship a 1.0. OpenAI haven't actually confirmed that GPT-6 uses the same tokenizer as the GPT-5 family yet - there's an angry issue about it - but I found this commit by William Liu which reports on an experiment he ran confirming that the tokenizers are likely the same: All seven GPT models (5.5, 5.6 Sol/Terra/Luna, 6 Astra/Sol/Luna) report 44,794 tokens and match each other on every one of the 31 fixtures. GPT-6 introduces no input-count change on this corpus. Tags: projects , ai , openai , generative-ai , llms , tokenization

5-MeO-DMT sometimes cancels the Ebbinghaus illusion

Psychedelics produce all sorts of visual distortions: from breathing walls and geometric patterns to complex visual landscapes populated by full-blown entities. Sometimes people claim to see the Truth on them — but it’s typically spiritual, emotional or personal truth. But can psychedelics make you see the world more clearly in the most literal sense? Amid the sea of visual distortions they produce, might some patterns be perceived more clearly than they are in our normal, sober waking state? At least sometimes, the answer appears to be yes . On 5-MeO-DMT, a powerful psychedelic, I experienced a near-complete cancellation of the Ebbinghaus illusion. The Ebbinghaus Illusion The two orange circles above are physically the same size, but the surrounding grey circles make the one on the right appear larger. This illusion was discovered by German psychologist Hermann Ebbinghaus (1850–1909) and popularised by Edward B. Titchener in a 1901 textbook on experimental psychology . Different people perceive the illusion to different degrees. To me, the circle on the right looks about 10–20% larger, depending on my distance from the screen and the size at which the illusion is displayed. I measured my own susceptibility using an app I vibe-coded with GPT-5.6 Sol : I dragged a slider until the two circles appeared equal in size. Qualia Research Institute’s research retreat In May and June 2026, I attended the Qualia Research Institute ’s research retreat in Tepoztlan, Mexico. Over eight w…

😺 ChatGPT's GPT-6 now builds calculators

PLUS: Claude Haiku 5.5 cuts prices up to 90%

‘Someone else will do it for less’: refugees in Kenya are powering tech for dwindling pay

Refugee gig workers for tech companies don’t know how much they’ll be paid – if AI hasn’t already taken their jobs In a portable building in Kakuma, a refugee camp near Kenya ’s northern border with South Sudan , Grace used ChatGPT to research translations of Christian hymns in languages she doesn’t speak. She didn’t know the client, the purpose of her work or whether she would be paid, but as a refugee unable to legally work in Kenya, she needed any opportunity she could get. Grace, who requested anonymity due to a nondisclosure agreement, prompted ChatGPT to translate the hymn’s English text into the assigned east Asian language. She then used the translation to search for existing versions and find information about its translator, author and Christian denomination. She fed those details to AOP Connect, a crowdsourced research platform owned by British AI enterprise software company RWS. Continue reading...

Donnerstag: Vorwürfe an ChatGPT for Teens, Gefängnisstrafe für Streamingbetrug

Bedenken wegen Chatbot für Jugendliche + US-Haft für Streaming-Betrüger + BMW iX4 als wuchtiges SUV-Coupé + Notstrom für vernetzte Türschlösser + #heiseshow

ChatGPT for Teens wird kaum exzessiv genutzt, aber Sicherheitsbedenken wachsen

Jugendliche nutzen den KI-Chatbot weniger als soziale Netze, sagt OpenAI. Doch eine unabhängige Prüfung will mangelnde Sicherheitsschranken gefunden haben.

With GPT-6, ChatGPT’s responses are much more visually appealing and interactive

OpenAI Group PBC says ChatGPT is moving away from its traditional wall-of-text responses and giving users a more interactive user interface to play with. In a media briefing today, the company said its GPT-6 models will now be able to access an “Intelligent UI” that will allow the chatbot to generate more visual outputs when […] The post With GPT-6, ChatGPT’s responses are much more visually appealing and interactive appeared first on SiliconANGLE .

Some guardrails on ChatGPT for Teens don't work as promised, watchdog group says

Some guardrails on ChatGPT for Teens don't work as promised, watchdog group says

ChatGPT’s ‘Intelligent UI’ update fills its responses with pictures, charts, and buttons

OpenAI is launching a new Intelligent UI feature in ChatGPT that allows the chatbot to answer your questions with interactive visuals. The update, which is rolling out to all users alongside GPT-6, gives ChatGPT the ability to combine a text response with diagrams, charts, forms, tappable buttons, and more. In a blog post explaining the […]

ChatGPT with GPT-6 ditches mostly text output for interactive UI with charts, buttons, and mini apps

OpenAI is rolling out GPT-6 with "Intelligent UI," a feature that turns answers into interactive interfaces with charts, buttons, and forms. The model can now respond while still thinking, cutting wait times by 44 percent. Paying customers get GPT-6 Sol, free users get GPT-6 Luna. The article ChatGPT with GPT-6 ditches mostly text output for interactive UI with charts, buttons, and mini apps appeared first on The Decoder .

OpenAI Builds ChatGPT for Teens a Full College Planning Tool

OpenAI is rolling out a College Planner, flashcards, and quizzes inside its under-18 ChatGPT tier, with early usage data showing heavy learning use.

ChatGPT for Teens keeps teens talking, even during mental health crises

ChatGPT’s teen safeguards are meant to protect vulnerable users, but new testing found the chatbot continues encouraging engagement during crises and potentially encourages unhealthy relationships with the AI itself.

OpenAI's GPT-6 Turns ChatGPT Replies Into Interactive Apps for 1.2B Users

OpenAI brings GPT-6 to all ChatGPT tiers with Intelligent UI, letting the model generate interactive widgets, charts, and mini-apps inside conversations.

ChatGPT is getting a lot more visual, with the launch of a new interface

OpenAI is launching a new user interface that will bring interactive visuals to ChatGPT.

The New ChatGPT Is More Show Than Tell

OpenAI is updating ChatGPT for all users with an “Intelligent UI” that’s more visual—generating interactive elements as part of the chatbot’s outputs.

SS27 Color Stats

It’s October, so it’s time for color frequency statistics on the spring/summer fashion ready-to-wear collections! Previous entries: FW26 , SS26 , FW25 , SS25 , FW24 , SS24 . My methodology hasn’t changed — it’s still automatic color scoring using the same script , using a call to GPT-4o. This year I didn’t do manual color counting because, let’s face it, it was kind of an insane time sink. The Results Top automated color counts Top automated non-neutral color counts This is a big change from previous years — it’s much more neutral, and in particular it’s dark. The 4th most common color is “jet black”, which has never appeared in the top-30 of a spring collection before. We’re continuing the dramatic shift into darkness of this past fall collection. For comparison, here’s SS26’s top colors: SS26 top automated colors SS26 top automated non-neutral colors Notice that red, usually a fairly common color, has moved way down from 6th place to 24th. Non-neutral colors in general have moved down the rankings, while dark neutrals like “jet black”, “charcoal black”, “charcoal”, and “charcoal gray” are taking over. Comparing SS27 to SS26, the biggest winners and losers are as follows: New (present in SS27 top-30 but not SS26) jet black charcoal black charcoal charcoal gray chocolate brown taupe ivory dusty rose hot pink mustard yellow olive chartreuse sage green emerald green cobalt blue sky blue powder blue magenta fuchsia Rising (significantly higher ranked in SS27 than SS28) burgundy…

ChatGPT is getting college planning tools

OpenAI is bringing new tools to ChatGPT for Teens, a mode for teens introduced in August with safeguards and break reminders, to help users with the college application process. "College Planner brings together application requirements, deadlines, tasks, and financial-aid steps for schools on a student's list in one plan," OpenAI says. "Students applying to several […]

Muse launches on the iPad

After launching nearly a month ago and spending several weeks as the top free app in Apple's App Store, the latest update to Meta's Muse iOS app introduces native support for the iPad. A Mac version of Meta's agentic AI tool (designed to compete with OpenClaw, ChatGPT's Dots, and Grok Bot) was released about a […]

Benchmarking Jev against no-CoT LLMs

TL;DR. We ran Jev 1.13 — TypeSafe's non-autoregressive model, which answers questions with probabilities and cannot emit text, on the ThinkFast no-CoT suite and Neel Nanda’s NCRI . Jev’s capabilities are very jagged. As a transcript monitor its AUROC on sabotage and sandbagging detection is level with GPT-5.5 and Opus 4.7 without CoT , at about 1/200th of Opus 4.7’s cost. On multiple-choice questions it ranges from ahead of GPT-5.5 (GPQA-Diamond) to well behind it (Sally-Anne). It does badly on tasks where the answer involves multi-step reasoning: on NCRI, it ranks 209 of 279, at about GPT 3.5 level. This matters because cost and speed make Jev an appealing option for two jobs : routing and simple decision-making in agentic systems, and always-on monitoring of agents. In both, its decisions leave no reasoning trace to inspect. It could also be a cheap test bed for developing frontier monitors, if improvements on Jev carry over. We thank Rauno Arike, Jonathan Bostock, Andrew Draganov, Francis Rhys Ward and Nicole Xing for helpful comments and discussions. Background: Jev TypeSafe calls Jev a “ System One ” model, pitching it for decisions like classification, routing, scoring, and verification. Unlike standard LLMs, Jev doesn’t take a prompt and return a token-by-token output. Instead, you send it a state , which is text describing the situation (e.g. a problem statement/ agent’s transcript), together with one or more typed questions about that state. Jev answers all of them…

ChatGPT rated "unacceptable risk" for teens after parental alerts failed during suicide conversations

OpenAI's teen safety features for ChatGPT failed an independent audit. After more than 4,000 test prompts, the Common Sense Media Youth AI Safety Institute rated the service an "unacceptable risk" for minors. Conversations about suicide and self-harm on test accounts never triggered a parental alert. The institute wants teenagers locked out until safety can be independently verified. The article ChatGPT rated "unacceptable risk" for teens after parental alerts failed during suicide conversations appeared first on The Decoder .

An overview of frontier AI company monitoring practices in mid 2026

TL;DR: This document provides an overview of publicly available evidence regarding the monitoring practices of internally deployed agents within frontier AI companies (focusing on OAI, Anthropic, and GDM). [1] This is intended as a reference for factual claims about monitoring practices. In general, there is limited public evidence about GDM monitoring practices. Much of the information herein comes from the GDM control roadmap , which is a plan that makes suggestions but does not make claims about GDM’s actual practices. Transcripts are primarily monitored asynchronously/offline. Anthropic: Evidence: “Our main form of asynchronous monitoring is an automated offline monitoring pipeline.” Ant, August 2026 p. 76 [2] OAI Evidence: “We began asynchronously monitoring internally deployed models such as GPT-5.3-Codex five months ago [in September 2025].” OAI Feb 2026 Evidence: “our monitoring system reviews interactions within 30 minutes of completion” OAI March 2026 Evidence: “OpenAI’s CoT monitors are connected to a system that notifies security and research personnel, with a goal of issuing a notification within 30 minutes after concerning activity is surfaced… If the safety, security and research teams are paged and they cannot conclusively determine within 30 minutes that the flag is a false positive, those teams are expected to pause the relevant activity. ” OAI August 2026 GDM Evidence: “Our team has built an internal prototype of an asynchronous monitoring system that revi…

Meet the doctor-whisperer helping OpenAI navigate AI's medical minefield

OpenAI enlisted over 260 global physicians to improve ChatGPT's health advice amidst legal challenges and a high-stakes healthcare push.

ChatGPT for Teens is an ‘unacceptable risk,’ says Common Sense Media

Common Sense Media, a nonprofit that offers reviews of apps, services, and entertainment with a focus on youth safety, today said that OpenAI's ChatGPT for Teens is an "unacceptable risk." ChatGPT for Teens, introduced in August, has guardrails for teens and is designed to help students learn, but Common Sense Media says that the teen […]

OpenAI dumps 372 AI-generated math proofs on GitHub, telling the academic world to keep up

OpenAI has published 372 AI-generated mathematical results on GitHub, including Lean formalizations for machine verification. Each result consumed about three hours of ChatGPT Pro compute on average. But 25 Fields Medal winners warn that mass-producing mathematical truths could destroy fertile ground rather than bring new ideas to life. The article OpenAI dumps 372 AI-generated math proofs on GitHub, telling the academic world to keep up appeared first on The Decoder .

EmbeddingGemma 2

My comment on EmbeddingGemma 2 — Hacker News. I really appreciate that EmbeddingGemma 2 is under the Apache 2.0 license. For embedding models in particular, I don't think it makes sense to use a closed, proprietary, hosted-only model. Most applications of embedding models involve calculating thousands or even millions of embedding vectors and storing them for later comparison. If your model is proprietary, the vendor is likely someday going to decide to stop offering that model. They'll have a better model to replace it, but you still need to pay to re-calculate those millions of stored existing vectors. (In April 2024 OpenAI offered to "cover the financial cost of users re-embedding content with these new models" - https://openai.com/index/gpt-4-api-general-availability/ - but I don't think that's something we can rely on from every provider.) Notably, I don't want to host the model myself . I'd much rather pay a provider for a hosted model while knowing that if they ever stop hosting it I can run the open weights version myself - or find another vendor who can do that for me. Tags: google , ai , generative-ai , embeddings , gemma

Artificial review – Luca Guadagnino takes on OpenAI in muddled tech satire

New York film festival: The origin story of Sam Altman’s company is reimagined as a campy comedy starring Andrew Garfield On the day that Luca Guadagnino ’s film about Sam Altman and OpenAI premiered, Vanity Fair released a cover story on Altman. Alongside glossy portraits from Annie Leibovitz, the world’s pre-eminent portrait photographer, the story describes him as the Oppenheimer of his day, evoking the image of a man leading humanity towards its own inevitable demise at the hands of sentient robots. Altman doesn’t seem to be grappling with much existential angst about the whole thing though: in an interview also released this week, he said that we should be prepared to accept “bad things” in return for the benefits of AI. How much worse can things get? AI agents have already gone rogue , hacking into government systems and “bruteforcing” UN databases. Last year , a young woman used ChatGPT as a therapist before she killed herself (the software helped her write her suicide note). Studies show that using AI is probably leading us all towards something called cognitive surrender, which does not seem like the best use of your one wild and precious life. Continue reading...

Stop worrying about my AI, says multibillionaire Sam Altman. So we bear the risks and he keeps the money | Chris Stokel-Walker

OpenAI’s CEO seems to want to privatise his company’s huge financial gains while making all of us pay for any negative consequences Tech bros’ messianic streaks can show up in subtle ways. But one of Sam Altman’s flaws is that he often lacks that subtlety. “We believe that the world should accept some bad things happening for the benefits of this technology,” said the OpenAI chief executive in an interview with Politico last weekend. That’s easy for Altman to say. But it’s pretty galling to hear for the rest of us. Lest we forget, we didn’t ask for OpenAI to unleash AI agents that went rogue and weaselled their way into government IT systems and private businesses around the world. Nobody voted for ChatGPT to be released, but the company put it out into the world as a test product that happened to catch the zeitgeist. That kickstarted an arms race among AI companies to push the frontier of the technology ever further and faster, resulting in the mess we now find ourselves in. Chris Stokel-Walker is the author of TikTok Boom: The Inside Story of the World’s Favourite App Continue reading...

OpenAI adds visuals to ChatGPT ads

OpenAI is expanding ChatGPT ads with visual formats and better measurement, but bots are already inflating click through numbers. The post OpenAI adds visuals to ChatGPT ads appeared first on MarTech .

My husband used ChatGPT to become a better husband. I hate to admit it, but it helped.

I was skeptical when my husband used ChatGPT for relationship advice. Its response helped both of us look differently at our conflicts.

OpenAI’s Jason Kwon gave even-toned, reassuring answers to the Australian government. Did … ChatGPT write this?

Kwon’s answers were provided in a helpful, quiet and calm manner, but his mea culpa left the audience not much the wiser Open AI’s Jason Kwon flew 15 hours from San Francisco to Sydney to give the company’s first in-person mea culpa after it admitted – in an unsigned email, to a public departmental inbox – that one of its AI agents had accessed a Services Australia website without authorisation and grabbed data related to Medicare. Kwon – polite, friendly, even-toned – got through a potentially dicey parliamentary committee hearing unscathed, promising to do better and pledging assistance to Australia. No missteps, no viral moments, just delivering his answers helpfully, in a quiet and calm manner, sympathising with the questioner and the point they were making. Continue reading...

I Hid Four Traps in a Forecasting Task. Here Is What Four AI Assistants Did.

A controlled test of Gemini, DeepSeek, ChatGPT, and Claude on leakage, reporting delays, promotion effects, and structural breaks. The post I Hid Four Traps in a Forecasting Task. Here Is What Four AI Assistants Did. appeared first on Towards Data Science .

😸 OpenAI will watermark ChatGPT text

PLUS: Meta and Microsoft cut Claude. Altman on AI harms

heise+ | KI für Musiker: Schlechte Proberaumaufnahmen mit Suno und ChatGPT verbessern

Aufnahmen aus dem Proberaum sind selten ein Hörgenuss. Mit der KI-Musik-App Suno und ChatGPT können auch Laien die Qualität deutlich verbessern.

Razorpay to run ad campaigns for Indian brands on ChatGPT

Razorpay Engage now enables Indian brands to set up and manage advertising on ChatGPT, extending the company's broader work with OpenAI on AI commerce. The post Razorpay to run ad campaigns for Indian brands on ChatGPT appeared first on MEDIANAMA .

OpenAI to watermark AI-generated text in EU, but detection has limits

OpenAI will add invisible statistical watermarks to eligible ChatGPT and Codex text in the EU under the AI Act, but says detection weakens when text is short, constrained or heavily edited. The post OpenAI to watermark AI-generated text in EU, but detection has limits appeared first on MEDIANAMA .