Nvidia's partnership with Thinking Machines Lab for its unreleased Verirubin chip is a strategic move. It secures a high-profile "neo lab" as an early customer, helping smooth out initial chip issues while locking them into the Nvidia architecture. It's a win-win, providing the startup with compute and validation.

Strategic investments in AI labs, like NVIDIA's in Thinking Machines, are increasingly structured as complex deals trading equity for access to cutting-edge chips. This blurs the line between traditional venture capital and resource allocation, making compute access a form of currency as valuable as cash for capital-intensive AI startups.

The drama at Thinking Machines, where co-founders were fired and immediately rejoined OpenAI, shows the extreme volatility of AI startups. Top talent holds immense leverage, and personal disputes can quickly unravel a company as key players have guaranteed soft landings back at established labs, making retention incredibly difficult.

The implosion of AI startup Thinking Machines highlights a critical risk: deep-tech companies require CEOs with profound technical expertise. Top researchers are motivated by working on hard problems with visionary technical leaders, and a non-technical CEO struggles to attract and retain this S-tier talent.

NVIDIA's multi-billion dollar deals with AI labs like OpenAI and Anthropic are framed not just as financial investments, but as a form of R&D. By securing deep partnerships, NVIDIA gains invaluable proximity to its most advanced customers, allowing it to understand their future technological needs and ensure its hardware roadmap remains perfectly aligned with the industry's cutting edge.

Nvidia's non-traditional $20 billion deal with chip startup Groq is structured to acquire key talent and IP for AI inference (running models) without regulatory hurdles. This move aims to solidify Nvidia's market dominance beyond chip training.

The 'Valinor' metaphor for AI talent's destination has flipped. It once signified leaving big labs for well-funded startups like Thinking Machines. Now, as those startups face turmoil, Valinor represents a return to the stability and immense resources of established players like OpenAI, which are re-attracting top researchers.

Thinking Machines Lab, founded by ex-OpenAI leaders, raised $2B pre-product. Its current struggles, including executive departures and inability to raise more funds, suggest investors are shifting focus from founder hype ('vibe founding') to concrete products and business strategies.

The departure of half of xAI's founding team, many of whom are researchers, indicates a pivot away from speculative research projects. The company's focus appears to be on massive engineering feats, like space-based data centers, to win through sheer scale rather than novel AI breakthroughs.