Issue No. 25Week ending Sunday, June 21, 2026540 episodes · 2385 articles
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Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP

With swyx, Anjney Midha · Sunday, June 21, 2026

In this episode, Anjney Midha, CEO of Amp, discusses why many AI labs struggle despite abundant resources, attributing failures to a lack of culture and organizational alignment. He advocates for responsible, iterative AI infrastructure scaling, proposes innovative solutions for community integration of data centers, and unveils Amp's model as an independent system operator for compute fungibility. Midha also shares his personal mission to advance AI for end-of-life prediction and the leadership qualities of successful 'athlete' researchers.

Key takeaways

  • Anjney Midha said his understanding is that up to 20% of US data centers this year are at risk of not getting the community support they need, and added that the figure may be overstated. Read more →
  • Anjney Midha argues that AI can deliver "orders of magnitude more precise" end-of-life predictions than human physicians, who currently offer wide error bars like "6 months to 6 years" for terminal diagnoses. Read more →
  • Venture capitalists often box top researchers into non-leadership roles, missing their inherent capacity to be effective CEOs, according to Anjney Midha of Amp. Read more →
  • Your company's true culture isn't found in your mission statement; it's revealed in the consistent actions you take, especially under pressure. Read more →
  • AI infrastructure development should prioritize an "output maxing" philosophy, focusing on getting maximum value and optimal outcomes from existing resources rather than simply adding more compute. This is a deliberate shift from a simple resource-acquisition mindset. Read more →

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