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Richard Socher is the fourth most-cited researcher in the history of natural language processing — he invented the word vectors and prompt engineering that run inside almost every chatbot you use. He sold his first startup to Salesforce, built You.com into a $1.5B unicorn, and in May 2026 raised $650M at a $4.65B valuation for Recursive: an AI that runs its own experiments and rewrites itself.
In this conversation he explains why he thinks the self-improvement loop arrives within two years, which jobs grow and which disappear, and his hack for seeing the future — look at what only the wealthy can afford today, then ask which of it is bottlenecked on intelligence. Stay till the end for the first question he'd ask a superintelligence.
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*Timestamps:*
00:00 — Intro
01:05 — What recursive self-improving AI actually means
02:35 — Reward hacking: when AI does what you said, not what you meant
05:42 — Why entrepreneurs love AI and hourly workers fear it
08:57 — Superintelligence vs. AGI
10:43 — The dimension of intelligence no one is working on
14:48 — His timeline: recursive self-improvement within 2 years
15:55 — How your business changes when AI gets metacognition
18:27 — Which jobs grow, which shrink: the elasticity rule
21:15 — His hack for predicting the future: what only the wealthy can afford
24:11 — Why home robots are a hardware problem, not software
25:56 — How he recruited co-founders from DeepMind, OpenAI, Meta
29:41 — Is a PhD still worth it?
31:41 — Who decides AI's goals — and the role of government
35:11 — Where he'd invest now: AI for biology
37:19 — Which market feels the AI hit next
40:39 — Advice for people who get paid by the hour
42:33 — His productivity hack for learning fast
43:53 — His first question to a superintelligence
45:27 — What gives people meaning in 2035
*Links:*
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