thenextweb
A DeepMind exec finally said what the trillion-dollar AI spend is for: machines that improve themselves.

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 [...]

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venturebeat
Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'

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 [...]

Match Score: 72.92

Destination
Google DeepMind's Genie 3 can dynamically alter the state of its simulated worlds

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, [...]

Match Score: 66.64

venturebeat
1Password moves into AI cost management, betting that token spend is the next enterprise budget crisis

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 [...]

Match Score: 61.03

venturebeat
Thinking Machines challenges OpenAI's AI scaling strategy: 'First superintelligence will be a superhuman learner'

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 [...]

Match Score: 59.44

venturebeat
Cerebras says its chips run a trillion-parameter AI model nearly 7 times faster than GPU clouds

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 [...]

Match Score: 53.69

venturebeat
Thinking Machines open sources first multimodal language model, Inkling, focused on low cost and 'resistance to censorship'

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 [...]

Match Score: 51.09

venturebeat
Capturing the trillion dollar opportunity with autonomous professional services

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 [...]

Match Score: 50.84

venturebeat
Bright Machines says its new hybrid robot cell could help solve a major AI infrastructure bottleneck

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 [...]

Match Score: 46.38

Destination
Google DeepMind's Aeneas model can restore fragmented Latin text

At its best, AI is a tool, not an end result. It allows people to do their jobs better, rather than sending them or their colleagues to the breadline. In an example of "the good kind," Googl [...]

Match Score: 46.11