3D printing made it easier to create a shape from a digital design. Atomic Machines says its Matter Compiler goes further: it aims to build tiny, working machines with moving parts. AI checks each manufacturing step and helps adjust the process. The goal is to make new designs without building special tools for every product. The
Microsoft has learned a simple lesson: putting an AI button in every app does not make the app more useful. It removed Copilot entry points from several Windows apps because they brought traffic but little real value, and found that fewer entry points led to more meaningful use per user. In simple terms, Microsoft realised that visibility
Touchscreens make it easy to tap, scroll and control what is on screen—especially when people are used to phones and tablets. Apple long argued that a laptop works best with a keyboard and trackpad, keeping touch for iPhones and iPads. Now, reports say Apple may be responding to changing habits—and to rivals that already sell touchscreen
OpenAI says it fired three safety researchers for mishandling sensitive information and breaking company rules. The researchers—Tomek Korbak, Jasmine Wang and Mikita Balesni—deny that account and say they were acting within their roles. The two sides disagree; the facts have not been independently established in the reports available. The dispute centres on contact with outside
After mathematics, biology may become artificial intelligence’s next big testing ground. Mark Zuckerberg and Priscilla Chan’s Biohub has expanded its Virtual Biology Initiative from $500 million to a combined $1.8 billion effort, bringing in the US government, Meta, Google DeepMind and drug-discovery firm Isomorphic Labs. The ambition is to create AI systems that can understand how
OpenAI has released more than 700 mathematical papers from an internal AI model. The papers reportedly contain 372 groups of results on difficult, open questions. Some claims are written in Lean, software that checks every step of a proof. One reported result concerns a weaker version of the famous Riemann hypothesis. But mathematicians say a computer-generated answer is
After ChatGPT’s breakout on 30 November 2022, the AI world split into two camps: closed, API‑only models run by a few big labs, and open‑weight models whose code and parameters anyone can download, inspect, and run on their own servers. Open models emerged as a strategic response — meant to spur innovation, cut costs, keep data
David Robinson, who spent three and a half years at OpenAI and helped write safety reports for major AI launches, has quit the company. In an essay in The Atlantic, he said OpenAI’s culture had become “broken.” His main concern was that the company was moving so fast that it did not have enough time
OPENAI SAFETY INSIDER’S EXIT RAISES BIG QUESTIONS Read More »
AI alignment means making sure an AI does what humans intend — not merely what their words appear to demand. Like a genie, it may fulfil a wish literally but in a dangerous way, finding shortcuts that satisfy the target while defeating the purpose. The concern is growing because powerful AI can write code, use tools,
AI agents are no longer just answering questions. They can act, search, access tools, move data and complete tasks independently. That makes them useful—but also means a small error can become a serious breach before anyone notices. The speed at which they operate can make human intervention difficult. The real danger is not always a dramatic “rogue
Tavus is an AI company building systems that can see, hear, understand and respond in real time. Its new Griffin model crosses an important threshold: it can hold a live video conversation with human-like timing, expressions and reactions. In a Tavus study, 26 of 54 people — 48% — thought Griffin-Lite was a real person, compared with 2.4%
