2026-08-20
Private and Sovereign AI Are Redrawing the Trust Boundary Around Model Deployment
For most of the last decade, running a powerful AI model meant sending your data to someone else's infrastructure and hoping that infrastructure would perform. But that arrangement is breaking down as a trust dilemma grows between model owners, data owners and infrastructure providers. Organizations across finance, healthcare, government, and defense increasingly want to run the model inside [...]
2026-08-20
OpenAI’s CFO told staff it will go public in 2027, or sooner
OpenAI has finally put a date on its stock market debut. The company “will be a public company in 2027,” or sooner if its business keeps growing fast, chief financial officer Sarah Friar told staff at an all-hands meeting. CNBC reported the comments, citing two people familiar with them. Friar tried to play down the […]<br /> This story continues at The Next Web [...]
2026-08-20
Comcast is turning tens of millions of routers into motion detectors
Comcast is turning tens of millions of its home routers into motion detectors. The feature, called WiFi Motion, uses a home’s own WiFi signal to sense movement, without any cameras. It is part of a new service called Xfinity Shield, which the company began rolling out on 18 August. It set out the details in […]<br /> This story continues at The Next Web [...]
2026-08-20
Prosus is putting $100mn into Navi, at a lower price than it once wanted
Navi, the Indian fintech founded by the Flipkart co-founder Sachin Bansal, has raised $100mn from the investor Prosus. It is the first outside institutional funding for the eight-year-old company, TechCrunch reported. Navi is preparing to go public. The deal values Navi at about $1.3bn, according to people familiar with the matter cited by TechCrunch. Navi […]<br /> This story continues at [...]
2026-08-20
KI-Pioneer Sutton calls synthetic data a "big mistake" in the face of an infinitely complex world
Turing Award winner Richard Sutton calls synthetic data a "big mistake" for scaling large language models. The world is infinitely complex, and any simulation of it is "microscopic," with human expertise acting as a bottleneck that blocks real scaling. Sutton's alternative is agents that learn continually from their own experience instead of relying on frozen models.<br [...]
