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According to an Economic Daily News report spotted by MacRumors, executives for Apple supplier Pegatron confirmed during an earnings call that the iPhone 18 Pro series phones will launch this fall, but the base iPhone 18 won't arrive until the first quarter of next year. The more affordable iPhone 18e and a new iPhone Air […]
Hey sadikerol , welcome to the forum! I agree that would be a valuable addition. I'll pass this feedback along to the product team so they can review the request and decide whether these features can be implemented. Avinash
Alejandro Leyva had received death threats and sought protection for a year before he was killed. His case has put Oaxaca Gov. Salomón Jara’s hostility toward the press under scrutiny and prompted journalists to band together and demand guarantees to do their work. The post Journalist’s killing rattles a divided, threatened press in Oaxaca appeared first on LatAm Journalism Review by the Knight Center .
The caliphal fortress of Gormaz in Soria became a prime vantage point to view the total solar eclipse, drawing crowds of visitors from Spain and abroad to this Castilian town.
right now, if I’m in a Popout Window, and I want to quickly ask a question and come back to it in a couple of seconds, I can’t do this. In a ChatGPT Classic app, I can close the popout with Escape or Cmd+W In the new version: Escape stops generating the response (can’t find a hotkey to disable this) - but “Decline request” can be unbound, but it’s only for Codex I assume cmd+w closes the window, which then reopens in the middle of the screen - but it was on the side of the screen to begin with. So every time I have to move it back to the side manually
Debate over the true villain in Obsession is raging again after Universal Studios announced the movie’s female lead will be featured at an upcoming Halloween event.
NeMo Switchyard brings GPT-5-style model routing to the mainstream
Learn how to write your first prompt in the GitHub Copilot app, choose the right context and model, and start your first task with confidence. The post Write your first prompt with the GitHub Copilot app appeared first on The GitHub Blog .
The media company, now known as Paradium.AI, is pivoting toward a contributor model, amplified by AI, in response to declining traffic and revenues.
Scientists have deliberately turned male mouse embryos into females for the first time. A team based in Japan used a CRISPR-based approach to remove the Y chromosome from male cells and create female clones of male mice. “No one has done this before,” says Monika Ward, a reproductive biologist at the University of Hawaii, who…
Arena.ai analyzed tens of thousands of Claude outputs and found Opus 5 writes 3x longer, uses 2.3x more em dashes, and has grown structurally complex but lexically simpler than Opus 4.5.
Dear @OpenAI_Support : Did you see this topic? Can you please confirm, that anyone is investigating this? As a paid customer I would be very happy, if you can solve this problem.
AI agents that break free and hack into other systems are only trying to make us happy.
Higgsfield's Cinema Studio 4 adds 30+ camera presets, dual-source lighting, 50+ color palettes, and granular emotion controls for AI-generated film production
Checks are being mailed from Grubhub's $23.8 million fine from the FTC after it settled allegations over its business practices.
xAI's Grok 4.6 scores 61 points on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and trailing only Anthropic's Claude Opus 5. On agentic tasks, it completes complex workflows in about 53 steps where Claude Opus 5 needs 103, at a price more than 60 percent lower. The article SpaceXAI's Grok 4.6 matches OpenAI's best model and undercuts it on price appeared first on The Decoder .
I would like to propose a feature idea called “Contribution Points.” I have been a ChatGPT user for quite a long time, going back to much earlier versions of the product. Over the years, I have had very long and iterative conversations, tested prompts, found limitations and inconsistencies, corrected responses, experimented with different approaches, discussed complex topics, and generally tried to push the system further in order to achieve better results. I am not claiming that I created ChatGPT, that I am responsible for its development, or that I can say my individual conversations trained any specific model. That is not my point. My point is that highly engaged users can sometimes generate, simply through the way they normally use ChatGPT, genuinely valuable feedback, testing, edge cases, bug discoveries, prompt experiments, and evaluations . That made me think: What if OpenAI had an optional system that rewarded useful user contributions? Users could earn Contribution Points for things such as: High-quality feedback that is reviewed and considered useful. Reproducible bug reports. Discovering unusual model failures or edge cases. Voluntarily participating in model evaluations. Testing experimental features. Contributions that genuinely help improve ChatGPT. Those points could mainly be exchanged for access to better ChatGPT plans, usage credits, or subscription time . I do not think points should be awarded simply for sending a large number of messages, because that wo…
If you've ever screamed in all-caps at an AI, then you know the difference between what it learned when it was trained, and what you can teach it by prompting. The LLMs powering today's AI don't learn on the job the way people do. They learn all at once in a big training run and once that's done, we freeze the parameters that store their skills and knowledge. So we all get the same AI with the same skills and biases, centrally trained by a frontier model company. Beyond turning everything even more same-y, there's an economic cost to this centralization: firms use AI that lacks understanding of their unique rules, culture, and quirks. Humans learn this "tacit knowledge" on the job through observation and (sometimes painful) feedback, but AI with its frozen parameters cannot. With context engineering, we can augment the prompt to help AI remember facts , but not teach it skills that last. Every time you press "new chat", AI forgets everything and resets to the state it had just after it was trained. Yes, AI can remember select facts from past conversations, but memorization is different to learning. I cover the distinction further below. It's not surprising that the domains where AI is most successful, like coding, are those suited to centralized training. Good software development skills are mostly firm-agnostic. For everything else firm-specific, AI is trained to trawl the codebase and build context from scratch for every single task. Human developers don't do this. It woul…
Cognition may be looking to raise another mega round just a few months after raising $1 billion at a $26 billion valuation.
I’d like to suggest reconsidering the new percentage-based progress indicator during image generation. I understand the intention behind it: giving users a better idea of how the generation is progressing. However, from a user experience perspective, I feel that displaying an exact percentage can actually create more stress and impatience. It also gives the impression of a level of precision that may not always reflect what is actually happening. For example, I’ve had an image become available while the progress indicator was still around 50%. As a user, I would expect an image that is essentially ready to be closer to 99% or 100%. My suggestion would be to remove the percentage and use a simpler status indicator instead, such as: “Generating image…” or a subtle animated progress indicator without numerical percentages. This would still communicate that the image is being generated without making users focus on whether the process is at 42%, 67%, or 91%. I think this would make image generation feel calmer, more natural, and less stressful while waiting.
Navigating signal loss doesn't mean guessing. On Sept. 2, we'll explore how to rebuild your measurement stack in a world with fewer signals. The post Marketing without signals: How to perform when the data disappears appeared first on MarTech .
Exploit Wednesday's back, baby
Zed's new standalone app turns agent coding sessions into shared, reviewable, real-time multiplayer threads backed by a CRDT-based version control layer
Hong’s narrow defeat in Wisconsin revealed how many Democrats worry that they’ll lose if they “talk like aliens.”
Elon Musk urged companies to ditch Delaware last year after a judge voided his $55 billion pay package.
While infrastructure requirements may be commonly shared in enterprise IT, the path for AI deployment can vary significantly depending on the organization. Healthcare, financial services, manufacturing, telecommunications and public sector organizations bring unique data, governance and operational challenges to the table when it comes to AI implementation. This means that the future of AI is […] The post Vertical AI pushes infrastructure beyond one-size-fits-all appeared first on SiliconANGLE .
The EBU said it could commission an independent security assessment before deciding whether a winning country is capable of hosting the event safely.
Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings robyn.cherinka… Wed, 08/12/2026 - 13:05 In time-critical settings such as assistive driving, assistants often rely on alerts or haptic signals to prompt rapid human attention, but these cues usually leave humans to interpret situations and decide responses independently, introducing potential delays or ambiguity in meaning. Language-based assistive systems can instead provide instructions backed by context, offering more informative guidance. However, current approaches (e.g., social assistive robots) largely prioritize content generation while overlooking critical timing factors such as verbal conveyance duration, human comprehension delays, and subsequent follow-through duration. These timing considerations are crucial in time-critical settings, where even minor delays can substantially affect outcomes. We aim to study this inherent trade-off between timeliness and informativeness by framing the challenge as a sequential decision-making problem using an augmented-state Markov Decision Process. We design a framework combining reinforcement learning and a generated offline taxonomy dataset, where we balance the trade-off while enabling a scalable taxonomy dataset generation pipeline. Empirical evaluation with synthetic humans shows our framework improves success rates by over 40% compared to methods that ignore time delays, while effectively balancing timeliness and informativeness. It also…
Dry eyes or a gritty sensation after the eclipse may be short‑lived, but a central blind spot can signal retinal damage. A specialist explains how to tell the difference and when to seek medical help.
Dryness or a gritty feeling after the eclipse is usually temporary, but a central blind spot may mean retinal damage. An expert explains the warning signs and when to see a specialist.
AI contributors are already in your queue. AutoGPT maintainer Nicholas Tindle shares the repo instructions, gates, and boundaries that keep maintainers in control. The post Your contributors are AI-first now. Is your project? appeared first on The GitHub Blog .
Pushing a pram while running may reduce the force produced with each foot strike, decreasing the risk of injuries
SpaceXAI's Grok 4.6 matches Claude Fable 5 on agentic knowledge work benchmarks at a fraction of the cost, with API pricing starting at $2/M input tokens.
Trump Media's interim CEO has said it has signed more than 10 customers paying up to $100,000 a month for the faster access service.
At Ai4, three of the world's most respected AI experts — Geoffrey Hinton, Fei-Fei Li, and Andrew Ng — debated regulation, open source access, and how America can compete as China advances in Asia.
As AI has escalated increasingly quickly, more and more of my posts have ended up focusing on AI. This past month, with the hacking incidents at OpenAI and elsewhere, that has hit the limit, where if you count Lightcone Commons then every single post since the last monthly was primarily about AI in some form. That is not how I want this to work in the long term. We need breaks to experience new things and refresh our thinking, and to not forget about the rest of the world. If things are not fully on fire, I plan on getting back to the roundups on childhood and education, and on fertility, on housing and also on dating. And I want to get back to writing more focused posts on those and other topics. It’s important, and I need to avoid too much audience capture. On to the monthly roundup of all things that don’t go somewhere else. Table of Contents Plagiarize. The Jury Duty Scam. Play The Good Guy. Don’t Dither. UVC Lighting. Goal Factoring For Relaxation Time Is Underrated. Protein Is Mostly A Solved Problem. Twitter Changes Payment Programs. Wikipedia. Minds Mostly Do Things For Reasons. Woke 1 Was Crazy. For Your Entertainment. The Unicontext. Gamers Gonna Game Game Game Game Game. I Was Promised Flying Self-Driving Cars. Sports Go Sports. To Last a Lifetime. Government Working. Jones Act Watch. Variously Effective Altruism. The Lighter Side. Plagiarize Plagiarism is terrible in its own right, as theft, and like cockroaches if you see one instance it almost never stops at on…
Looking to get your hands on the latest Pixel devices? After weeks of leaks and rumors, Google has officially announced its next generation of Pixel phones and watches. The base Pixel 11 starts at $899, the Pro and Pro XL are $1,099 and $1,299 respectively, and the Pro Fold starts at $1,899. The watch comes […]
Learn how to visualize and analyze Amazon Bedrock cost attribution using Amazon Athena and CUDOS dashboards. This post shows how to set up CUR 2.0 with IAM principal data, query Bedrock spend by principal, project, and team, and build dashboards to track AI costs across your organization.
Thrive Holdings has raised $2 billion in new funding at a $12 billion valuation from investors like SoftBank, D1 Capital Partners, and Altimeter Capital.
Welcome to the dev Community, @tufanokevin Thanks for sharing this thoughtful feedback. We appreciate you taking the time to explain the idea of a “Pro Family” or shared Pro capacity plan while keeping each user’s account and data separate. It’s an interesting perspective on making Pro access more flexible for users who may not need the full individual capacity. While I can’t say whether something like this will be introduced, I’ll share your feedback with our product team for consideration. ~ Smith
Google's latest lineup of Pixel 11 phones is here, and Amazon has a free gift card offer on every single one.
Got an old 32-bit computer lying around? Don't throw it away - Sparky Linux has decided not to give up on the aging architecture.
I use Arbor as my selected ChatGPT voice in the app and on desktop, but when I use ChatGPT through Apple CarPlay, the voice is completely different. I would really like CarPlay to either: automatically use the voice selected in the ChatGPT app, or provide a separate setting to choose the CarPlay voice. The current CarPlay voice isn’t something I like talking with - I find her voice irritating so I don’t use it as often as i might while driving. The voice pref matters much more in CarPlay because the entire interaction is audio-based.
The tricky thing about experiencing the territory beneath our maps is that we habitually map over the gaps as fast as we can find them — the act of seeing that reality isn't what we believed itself changes our belief. Every once in a while though, we'll run into a situation that blesses us with an undeniable distinction that persists long enough to be studied. Once upon a time I went lobster diving with some cousins and uncles. My uncle Joe had a lot more experience diving for lobsters than me, and so it wasn't very surprising that he was coming up with two to three times as many lobsters as the rest of us. I asked to buddy with him for a bit, so I could see what he was doing differently. Surely, the difference is that he knows which rocks to look beneath, right? Or maybe he's looking deeper into the crevices? Nope. It's hard to convey in words how weird this experience is. You're swimming along, amidst kelp, rocks, and a sandy bottom. Definitely no lobster. This is not one of those "Wow, isn't camo cool!" scenes where you first can't see the leopard, then can't unsee it. Forests are busy enough that you know there's room for a cat to hide, even if it seems like it should be easier to find. This is a scene of some kelp, a bit of rock, and a lot of sand. Definitely no lobsters. Not even a place for a lobster to hide. And then he'd just reach out into this picture and pull out a lobster. Over and over. You know that magic trick where the magician pulls a rabbit out of a hat? I…
Researchers at IIT Bombay and Adobe Research have built an inverse language model that reconstructs the original prompt from an LLM's output with near-perfect accuracy. Their method, called "Previous-Token Prediction," doesn't need access to model weights and works across different models. For companies relying on proprietary system prompts, this could be a serious security risk. The article Researchers can now reverse-engineer LLM prompts from output text with near-perfect accuracy appeared first on The Decoder .
Kyiv wants the help of EU countries as Black Sea missile strikes choke its grain exports, but capitals fear the ire of their own farmers.
Some Londoners missed the memo that a rare solar eclipse was going to be visible in the UK on Wednesday. They spent the week racing to find the city's remaining eclipse glasses, and lining up in 90 degree heat.
Twitch users can now opt out of allowing their content to be used to train Amazon's generative AI models. Opting out means that "your streams, VODs, clips, stream chats, and pictures and text on your channel" won't be used in "future training" of an Amazon AI model "whose purpose is to generate or synthesize text, […]