Everyone has been asking what the trillion-dollar AI buildout is actually for. A senior Google DeepMind executive has now given an unusually blunt answer. The spending, he says, is a bet on machines that improve themselves. Jasjeet Sekhon, DeepMind’s chief strategy officer, made the case at a summit at UC Berkeley. Recursive self-improvement, or RSI, […]<br /> This story continues at The Next Web [...]
Is AI leaving the era of "turn-based" chat?Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio [...]
At start of December, Google DeepMind released Genie 2. The Genie family of AI systems are what are known as world models. They're capable of generating images as the user — either a human or, [...]
1Password on Tuesday launched AI Spend and Consumption Management, a new capability embedded in its SaaS Manager platform that gives IT and finance teams a unified, real-time view of how their organiz [...]
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of [...]
Less than a week after completing the largest tech IPO of 2026, Cerebras Systems is making its most aggressive play yet to dominate the fast-growing AI inference market. On Monday, the Sunnyvale-based [...]
Enterprises looking to move more of their agentic AI workloads to open weights models they can customize, control and run on-premises or in virtual private clouds have a strong new contender to consid [...]
Presented by CertiniaEvery professional services leader knows the feeling: a pipeline full of promising deals, but a bench that’s already stretched thin. That’s because growth has always been tied [...]
Bright Machines wants to solve one of the least glamorous but most consequential problems in the AI buildout: what happens to quality data when a human being has to touch the production line.The San F [...]