Ken Griffin Says AI 'Almost Certainly' in a Bubble Right Now
THE SO WHAT
When a major hedge fund operator calls AI “almost certainly” a bubble, he’s telegraphing volatility, not dismissing the tech. Founders and buyers should assume sharper repricing ahead—opt for contracts and cap tables that survive a sentiment swing rather than betting on today’s multiples.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIPartnering with Blacksmith
If agents can write production-scale code, the new bottleneck is proving that code is safe, performant, and compliant at the same speed. Expect “agent-era CI/CD” vendors like Blacksmith to become a required layer in any serious agent deployment, not a nice-to-have devtool.
Applied AIHugging Face CEO warns that Netflix’s OpenAI hack documentary isn’t accurate
When a founder featured in a Netflix doc publicly calls it “full doomer mode,” you’re seeing the gap between narrative risk and operational reality. If your company touches AI or security, assume mainstream treatments will be dramatized—prepare a comms plan now for when your work is portrayed without nuance.
Applied AIEx-DeepMind researcher Thore Graepel launches London AI lab Metis Reasoning
A new lab built on the thesis that LLMs “cannot be trusted to reason” is a bet that post-LLM reasoning architectures will matter as much as scaling tokens. For product teams, this is a reminder to separate language fluency from decision quality—design systems where critical reasoning is modular and swappable.
Applied AIAnthropic’s cloud partnerships are getting messy
When a top lab with a November IPO on deck struggles to secure capacity from hyperscalers that also see it as a rival, the compute market is shifting from vendor–customer to coopetition. If you’re building on third-party GPUs at scale, lock in multi-cloud options and term commitments now rather than assuming spot capacity will be there later.