AI infrastructure evolution: from scale to RL and agents

Deedy Das, Partner at Menlo Ventures and former founding team member at Glean, joins Sourcery to unpack a major shift reshaping venture capital: the move from rigid investment theses toward founder-led conviction.

With 48+ years of experience, 80+ public companies, 165+ mergers and acquisitions, and $6.8B+ under management, Menlo Ventures is partnering with Anthropic through the $100M Anthology Fund to back the next generation of AI startups.

Deedy explains how the firm identifies infrastructure companies early — often before the broader market recognizes their importance — and why iconic outcomes rarely emerge from predefined theses. He breaks down what distinguishes durable AI businesses from short-lived momentum plays, and how top investors evaluate founders capable of building enduring companies.

We also explore the rapid evolution of the AI stack — from internet-scale training to reinforcement learning, agentic systems, and the pursuit of the economic Turing test.

Topics Covered:

• The strategy behind Menlo + Anthropic’s Anthology Fund

• Why “anti-thesis” investing wins

• Founder traits that predict generational companies

• AI infrastructure gaps still waiting to be built

• Product taste as a competitive moat

• The danger of overfunding startups

• Why Deedy became one of tech’s most followed voices on X

  
  

Deedy Das: https://x.com/deedydas  

Molly O’Shea: https://x.com/MollySOShea 

Sourcery: ⁠https://x.com/sourceryy 

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YouTube : https://youtu.be/Gjw0oBznXuQ

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