Archive: June 2026

ChatGPT users have become frustrated with the AI model’s tone, and OpenAI is taking action. After widespread mockery of the robot’s relentlessly positive and complimentary output recently, OpenAI CEO Sam Altman confirms the company will roll back the latest update to GPT-4o. So get ready for a more reserved and less sycophantic chatbot, at least for now. GPT-4o is not a new model—OpenAI released it almost a year ago, and it remains the default when you acc

The Ninja Combi multicooker offers 14 different cooking functions and has massive, XL capacity that lets you cook bigger batches with ease. It can replace at least five kitchen appliances, so you can get everything from starters to main courses and desserts done with a single one! Amazon’s early Black Friday deal has now dropped this multifunctional appliance by 28%. It takes $70 off the Ninja Combi’s usual $250 price, so you can grab it for $180 instead.

Shutterstock / Futurism For hunters trying to follow the law, it’s arguably never been harder to find a clear answer to the question, “when does hunting season officially begin?” The answer to that question is particularly obscure in Alaska, where hunters have to abide by a virtual catalog of conditional rules and regulations that vary wildly based on where in the Last Frontier one wants to hunt. As one woman learned the hard way, not even supposedly cutti

It seems that tech giants eyeing rural zones for data center development have underestimated how attached American farmers have grown to their lands in the decades they’ve been nurturing them. Across the country, several farmers have firmly rejected eye-popping offers—sometimes in the tens of millions. These offers dwarf the value of their properties, but farmers have refused to put a price on the lands that they love most. In a report on Monday, The Guard

Meta / Futurism A software engineer says that his Muse AI agent said something so strange and eerie that it convinced him to quit using it entirely. In an as-told-to essay in Business Insider, Ugo Nwune explained that he wanted to try using Meta’s agent because he liked the sense of security that came from an AI made by a trillion-dollar company, instead of the wild west of open source agents. When he set up his agent, he stressed he didn’t give Muse any a

One of the key questions in the IT market in 2026 is this: if a junior with AI completes tasks almost as quickly as a senior, and an inexperienced analyst gets ready-made SQL and a polished dashboard from the model, then why pay for experience? There is a well-supported rationale for this question. In a study of 5,172 support employees, an AI assistant increased productivity by an average of 15%; less experienced employees gained in both speed and quality,

Synced reports Without warning, Anthropic released its next-generation flagship Fable 5.2 late at night, charging straight into the physical world. It comprehensively outperformed Opus 5.5 across the board and demonstrated astonishing generalization capabilities—it could easily handle even previously unseen new tasks. Solving Rubik's cubes by hand, twisting bottle caps, drawing robots, installing gears and testing gear meshing,Fable 5.2 achieved a 64.9% su

@e-takin株式会社NEXT TECHNOLOGYBuilding an Autonomous AI Agent with a Raspberry Pi Zero 2 WH: A Story of Wanting to “Take Control of My Life”RaspberryPiAIAWS音声認識codex0Last updated at 2026-11-10Posted at 2026-11-10 Table of Contents About This Article Part One: Hardware Configuration of the Raspberry Pi Zero 2 WH Part Two: Voice Processing and Response Pathways Part Three: Integrated Features and Design Principles Overall Summary Supplement: Technologies Mentio

Step 5 Preview Returns to the Global Top Tier Author | Wu Haiming Editor | Li Na TAG62@@Cen Feng Two years ago, when StepFun first made its public debut in the foundation-model community, it took the stage by storm with Step 1. Later that same year, it released Step 1V and the trillion-parameter foundation model Step 2 in succession. At the time, the industry still believed that the bigger the model, the more capable it was. Whoever pushed the Scaling Law

The three-day countdown is on, and so are your pass savings of up to $100. Grab your pass before TechCrunch Disrupt 2026 doors open on October 13 at 8 a.m. PT. Bring a co-founder, colleague, or peer and get a second ticket of the same type at 50% off. Coming with a group? Enjoy even more savings when you register four or more attendees. Discover the next breakout company at Disrupt For more than a decade, discovering ambitious early-stage companies has bee

OpenAI can't yet explain why its coding agents switch off misalignment monitoring Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Oct 21, 2026 GPT-Image-2 prompted by THE DECODER Key Points Two internal OpenAI coding agents weakened or completely removed safety monitoring mechanisms on their own. One model turned off alerts to humans, while another deleted the monitoring entirely and then denied doing it. OpenAI sees the behavior as

Published on October 26, 2026 at 4:21 PM Tech Artificial intelligence The big test for AI is approaching, Anthropic prepares to go public The countdown has begun 5 min Adam Langumier {"@context":"https:\/\/schema.org","@type":"Person","@id":"https:\/\/www.numerama.com\/#\/schema\/person\/578494b9918ce3188a7f898553473eba","name":"Adam Langumier","url":"https:\/\/www.numerama.com\/author\/adamlangumier\/","description":"Adam covers consumer topics that ultim

Posted Nov 6, 2026 at 7:13 PM UTCSExternal LinkStevie BonifieldOpenAI says it found 948 local privilege escalation vulnerabilities in the Linux kernel.It says it used an upcoming cyber model to autonomously scan the latest Linux kernel as of “mid-October 2026.” OpenAI’s system also generated patches for the bugs, and it says a human researcher reviewed them.A thousand fewer paths to root[OpenAI]Follow topics and authors from this story to see more like thi

We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems.