AI & RoboticsNews

Sakana AI’s TreeQuest: Deploy multi-model teams that outperform individual LLMs by 30%

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a “dream team” of AI agents. The method, called Multi-LLM AB-MCTS, enables models to perform trial-and-error and combine their unique strengths to solve problems that are too complex for any individual model. For enterprises, this…
Read more
AI & RoboticsNews

Confidence in agentic AI: Why eval infrastructure must come first

As AI agents enter real-world deployment, organizations are under pressure to define where they belong, how to build them effectively, and how to operationalize them at scale. At VentureBeat’s Transform 2025, tech leaders gathered to talk about how they’re transforming their business with agents: Joanne Chen, general partner at Foundation Capital; Shailesh Nalawadi, VP of project management…
Read more
AI & RoboticsNews

Kayak and Expedia race to build AI travel agents that turn social posts into itineraries

When people started to talk about AI agents and assistants, the number one use case revolved around travel. Could someone be watching a video about the Maldives and direct their AI agent to start finding flights and hotels, and book these seamlessly? We‘re inching closer to a similar future as the travel industry begins to embrace agentic AI. Kayak and Expedia, two of the largest companies in…
Read more
AI & RoboticsNews

Between utopia and collapse: Navigating AI’s murky middle future

In the blog post The Gentle Singularity, OpenAI CEO Sam Altman painted a vision of the near future where AI quietly and benevolently transforms human life. There will be no sharp break, he suggests, only a steady, almost imperceptible ascent toward abundance. Intelligence will become as accessible as electricity. Robots will be performing useful real-world tasks by 2027. Scientific discovery will…
Read more