Benedict's Newsletter: No. 635
AI Summary
Benedict Evans' newsletter covers strategic resets at OpenAI and Microsoft, AI go-to-market challenges, Jeff Bezos launching a $100bn AI automation PE fund, and Meta's retreat from VR metaverse. It also includes a candid section on LLM hallucinations with real-world examples showing ChatGPT and Gemini still fail on factual lookups.
Key Facts
Author Takes
OpenAI's competitive position
OpenAI has no unique tech, limited user stickiness, no network effect, and incumbents have matched the tech while leveraging superior product distribution — the plan remains unclear.
AI automation PE roll-ups
The thesis of buying legacy companies and making them efficient with AI seems 'a bit too deterministic'.
LLM hallucinations
Anyone claiming hallucinations are solved is an idiot — the author's own tests show ChatGPT still returns wrong or estimated figures even when correct data is explicitly available.
VR / Metaverse
VR headsets are good enough that if there was a 'there there' we'd have found it by now — no one cares, and the word 'metaverse' became functionally meaningless.
Kalshi prediction markets
The author sees no way that Kalshi's prediction markets are NOT gambling, regardless of how they're framed.
Frontier LLM models as commodities
Frontier models are commodities, but something can be both a commodity and really hard — the number of leading companies is shrinking just as it did with chips.
Contrarian Angle
AI Automation PE Roll-Up
Jeff Bezos is raising a $100bn fund to buy legacy companies and make them more efficient with AI — a quasi-PE strategy betting that AI can unlock value in existing businesses rather than building new ones.
Instead of backing AI-native startups, this bets on applying AI to legacy businesses post-acquisition — a deterministic transformation thesis most VCs avoid.
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