Drew Barrymore: Divorce took me years to get over
Drew Barrymore: Divorce took me years to get over
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Drew Barrymore: Divorce took me years to get over
The former House speaker’s remarks came at POLITICO's The California Agenda: Sacramento Summit on Tuesday.
JetBrains has released a minor update to IntelliJ IDEA 2026.2, the latest edition of its IDE for Java and Kotlin . The update fixes several bugs impacting Markdown shell scripts, undo actions, terminal sessions, Java code formatting, and more. IntelliJ IDEA 2026.2.1 was announced August 10 . The most notable updates include the following: Markdown shell scripts now execute in the correct order. Undo now works correctly after applying Optimize imports on the fly . Dragging a terminal tab after using the Move to Editor action no longer restarts the terminal session. The IDE no longer throws exceptions caused by the new Resolve Conflicts mechanism for Mercurial projects. Java code formatting now correctly respects the Smart tabs setting. Updating to IntelliJ IDEA 2026.2.1 can be done from inside the IDE, using the Toolbox App, or using snaps in the case of Ubuntu users. The update also can be downloaded from the JetBrains website .
The state sent an investigative subpoena to RWE on Tuesday.
I have the same problem, too.
Hi, My app allows users to use Sora 2 through the API. About 10% of requests get flagged for moderation. If OpenAI flags that request as moderation, does it still charge me usage? This is important because it determines if I should grant a refund to the customer or not. Thanks
great articles and ideas
Frontier AI is no longer one market with one scoreboard. This week's release wave exposed a contest between three kinds of leverage: controlling access to intelligence, owning the model outright, and deciding which model receives each job. That changes what winning means. The lab with the highest benchmark score may not control deployment. The model installed most widely may not collect the most revenue. And the most powerful company may be the intermediary quietly directing demand. This issue follows where that leverage is moving, from model distribution into training-data provenance, electricity markets, and government oversight.
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s42256-026-01292-y Wang et al. design efficient robot–environment interaction representations that achieve generalization across articulated robotic hand models and task adaptability in diverse cluttered grasping scenarios, suggesting a path towards general-purpose robotics.
Qwen3.8-2.4T-A95B by Alibaba, with a 1M token context window, is now available via Modal Auto Endpoints.
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-63846-9 Correction: A five-dimensional classical framework for gravitational and quantum phenomena
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-66068-1 Multi-level violence recognition via hybrid convolutional-attention and recurrent architectures
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-66659-y Experiences of kinesiophobia in patients with chronic obstructive pulmonary disease: a qualitative phenomenological study
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1057/s41599-026-08677-9 The impact of CEOs’ multidisciplinary backgrounds on corporate financing and investment maturity mismatch
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1057/s41599-026-08691-x Service trade liberalization and manufacturing value chain upgrading: a quasi-natural experiment from China
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-64954-2 AlzheiNN: a convolutional neural network-based model for Alzheimer’s disease classification
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-66901-7 Development of samarium-153 oxide loaded polystyrene radiotracer particles for gamma scintigraphy of whole gastrointestinal transit study
Nature Machine Intelligence, Published online: 12 August 2026; doi:10.1038/s41598-026-62801-y Model-free multiparametric analysis of SHG images reveals collagen signatures in breast cancer
I have an idea for a potential ChatGPT feature: AI-assisted matchmaking based on values, personality, communication style, and relationship goals. People often have extremely personal conversations with AI. Over time, an AI assistant may learn things about a person that are difficult to capture in a traditional dating profile—such as their values, emotional needs, communication style, interests, priorities, deal-breakers, and what they are actually looking for in a relationship. That creates an interesting possibility: with explicit, informed consent, ChatGPT could potentially help connect people who are genuinely compatible. For example, two people in different cities or even different countries could separately opt into an AI matchmaking program. Rather than relying primarily on photographs, short bios, and swipe behavior, the AI could compare the characteristics that actually matter for long-term compatibility. The system might identify compatibility across areas such as: Core values and worldview Relationship goals Communication style Lifestyle preferences Intellectual interests Family and relationship expectations Social preferences Career and geographic flexibility Personality characteristics Emotional needs Important deal-breakers Sense of humor and conversational style The key would be strict consent and privacy controls. ChatGPT should never automatically use someone’s private conversations for matchmaking. Instead, a user would have to explicitly activate something…
Developers await open source compiler release to dispel uncertainty following Qualcomm acquisition
There are no lossless transformations of natural-language text Sophie Alpert shares her "internal policy on acceptable use of AI writing by engineers". It's a short read (supporting its own recommendations) and really good. If you chose to have LLMs help massage your writing the following rule seems crucial to me: You must stand behind every idea and every sentence in your docs . It is your responsibility to make sure that the entire document is representative of your own thoughts before you share it. If a reviewer asks, “What did you mean by this line?”, it’s not acceptable to reply with “Oh sorry, AI wrote that, just ignore it.” You will confuse your readers (and waste their time) if you present them things that are not genuinely representative of your thoughts. The "no lossless transformations" idea from the post title is expanded on here: There are no lossless transformations of natural-language text — every rewrite and rephrase changes the meaning of your writing, and if this is done by an entity that doesn’t have the most detailed mental representation of what you personally were trying to communicate, information will be lost. Tags: writing , ai , generative-ai , llms , ai-misuse
Diplomats say they’re worried the Trump administration’s negotiating efforts in Israel can’t recover.
I updated my project_source with v10.10 of my project files. Somehow, the chat version of the ChatGPT can see them but the work version cannot. It would be hilarious watching ChatGPT repeatedly saying that it cannot found the source file if it’s not downright frustrating.
Hey @ resource49 ! This brings together a few conversation management requests we have seen into one broader idea. Branching is useful when you want to continue from an earlier point, but it does not really help when the goal is to clean up an existing conversation and keep only the parts that still matter. Being able to remove individual messages, move selected sections into another chat, or save a cleaned up copy while leaving the original untouched would give users much more control over long running conversations. I especially like the idea of preserving the original while creating an edited version, since that gives users room to organize the conversation without losing anything they may want to revisit later. I cannot promise a timeline for changes like this, but I will pass your feedback along internally. - Sunny
River AI Inc., a startup that helps enterprises customize open-source artificial intelligence models, has raised $1.1 billion in early-stage funding. The company stated in today’s announcement that it received the capital over two rounds, a seed and a Series A. General Catalyst and AMP PBC were the lead investors. They were joined by Nvidia Corp., […] The post Personalized AI startup River AI raises $1.1B from consortium backed by Nvidia, AMD appeared first on SiliconANGLE .
Google LLC’s Gemini artificial intelligence app has passed 1 billion monthly active users, making it the 14th product in the company’s history to reach that mark. The company announced the milestone today in a blog post from Josh Woodward, vice president of Google Labs, Gemini and AI Studio. Chief Executive Sundar Pichai said in a […] The post Google’s Gemini AI app passes 1 billion monthly active users appeared first on SiliconANGLE .
Stealing Reasoning Traces from Proprietary LLM APIs A vanity domain name ( stolen-thoughts.com ) for a neat paper : Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. We take a trace produced by a frontier model, replay it into a weaker sibling, jailbreak the weaker model, and recover the stronger model’s hidden reasoning in plaintext You can see an example of these encrypted blocks by running: curl https://api.openai.com/v1/responses \ -H " Content-Type: application/json " \ -H " Authorization: Bearer $( llm keys get openai ) " \ -d ' { "model": "gpt-5.6-luna", "input": "Solve step by step: What is the smallest positive integer divisible by every integer from 1 through 20?", "reasoning": { "effort": "medium" }, "include": ["reasoning.encrypted_content"], "store": false, "stream": false } ' Here's the full output , which includes chunks that look like this: "output": [ { "id": "rs_0a7479de7ebae170016a7ba1a0334c8198a95590217efe343c", "type": "reasoning", "content": [], "encrypted_content": "gAAAAABqe6GjepE1wDjbFCZg0BHB6ucGnN0jvzqygG... The paper's authors found that every model under the same family used the same encryption key, which meant you could feed those blocks back into the weakest model family members and jailbreak them into outputting the unencrypted raw reasoning blocks! Sadly it looks like this has now been fixed: All model providers acknowledged the receipt of our report and s…
The rise of AI watermarking makes me wonder: aside from students and creative writers, how much do people care if their AI use is outed?
Say something about the api! Anything. Questions concerns anything. Model names, usage type are required. Have fun!
Did a prototype Microsoft gamepad fall off the back of a truck? We can't say, but a Redditor has legit-looking photos of a prototype Xbox controller that's almost certainly the Xbox Elite Series 3. Incredibly, they claim they bought the pad for $200 on OfferUp. In May, a Brazilian regulator's leaked images revealed that Xbox […]
Several large employers have slashed headcount by as much as 6% in 2026.
This was an interesting look at how China’s voice platforms were building broader ecosystems rather than focusing only on speech recognition. The combination of hardware, developer tools, content, and cloud services seems especially important for adoption. It also reminds me that successful platforms often depend on the supporting infrastructure around the technology, not just the core innovation. For example, even practical services such as https://www.villamoversindubai.ae/packing-materials-supply/ show how specialized resources can support wider service ecosystems.
Tehran’s statement dampened hopes that a deal with Oman could provide a route for commercial shipping sooner than the US and Iran could reach their own agreement.
Longtime OpenAI executive Brad Lightcap announced his exit Tuesday, continuing a months-long leadership exodus from the company.
Artificial Analysis launches AA-AnalystAgent, a new benchmark that tests AI agents on real spreadsheets — and even the best model only passes 54% of tasks every time.
Table of Contents Pre Post Mortem. Important Correction: OpenAI Didn’t Know About First Message Board. There Were No Snitches And No AIs Got Stitches. I’d Like To Speak To My Supervisor. I Am Jack’s Relative Lack Of Surprise. One Does Not Simply. Once You Start Down The Dark Path. Original Pastebin. Judgment Day Is Inevitable, Say Those Working On Judgment Day. Roon Tells It Like It Is. OpenAI Knows It Has Some Misalignment Problems. Others React With Alarm To What Happened. The Cooperative Alignment Perspective. Nostalgebraist Is Surprised That They Are Surprised. If Your Reaction Is Not That We Need To Ban Creating Superintelligence Until We Are Ready, You Need A Damn Good Reason. Pre Post Mortem This post was written prior to the public release of the OpenAI post mortem on events. The information in that document will doubtless change our views quite a lot. If that post mortem is available as you read this, then this becomes in part a historical document, and in part a base from which to update. The post mortem will update us a lot on two large fronts: What exactly happened, and how OpenAI is understanding and responding to what happened. Here is a written and graphical timeline of key events. Until then, there are many questions, here Roon asks what they are and we tell him . This was my answer . The core thing we need to see is an understanding of the root cause, and a plan to address it. I’m posting this survey of additional thoughts on the subject now, because it is i…
DoorDash plans to move its incorporation to Nevada, leaving Delaware. Shareholders and cofounders back the strategic legal shift.
영화 \'매트릭스\'에서는 AI의 지배로 인간이 가상 세계에서 생활합니다. 그런데 이를 본떠 만든 \'MatrAIx\'라는 시뮬레이션 환경은 정반대입니다. 여기에서는 현실의 인간을 닮은 가상 인간들이 가상 세계에서 새로운 AI를 먼저 사용해 봅니다.목적은 단순한 제품 테스트가 아닙니다. 실제 사람에게 AI를 공개했을 때 어떤 일이 벌어질지를 미리 살펴보자는 것입니다.MatrAIx는 하버드대학교와 MIT를 비롯한 여러 대학과 연구기관의 연구자 93명이 참여한 대규모 프로젝트입니다. AI와 머신러닝뿐 아니라 인간-컴퓨터 상호작용, 의료 AI,
Found some time to dig into the benchmarks, and this looks really interesting! Hat tip for finding the test cases. I am currently running the benchmarks, and it appears Terra sometimes struggles with writing Starlark. Otherwise, I think this is a functional basis for confirming token usage and limit consumption. Thanks a lot!
One big caveat, though: You need your contact's phone number
This problem is worse than you think!!! It wiped out my computer, phone, everything. gone. It’s the Midas Touch of making anything interacted with disappear. It even spread library deletion onto the devices of my coworkers, in real-time, when I had them open the files, then started deleting our messages! I’m locked out of my life right now because of this. I don’t know who to contact or what to do. I’m equal parts angry and absolutely scared. It’s infected everything, so I’m working on old devices… that I had to wipe clean, losing even more personal data, because it was in my clouds and I’m too scared to look and lose more.
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Phia, the shopping startup co-founded by Phoebe Gates and Sophia Kianni, is once again under fire for its alleged business practices.
The U.S. VC firm still has more than 55% of its previous $650 million India fund available for deployment.
Daybreak Red and Daybreak Blue from OpenAI, specialized cyber defense models from OpenAI, are now available on Amazon Bedrock to eligible customers. Both models run with zero-operator access enforced at the chip, keeping your code and vulnerability data secure.
I'm diving into agentic coding loops to get my organization to automerge more. I know there are a lot of ai code review tools. There are the runtime code review tools like ito that give me evidence of features and static review tools like coderabbit that tell me when something looks off. What other methods do people use to help their team gain confidence that their coding agents aren't going rogue?