Why You Need to Rethink Your Career Now | Richard Socher
Silicon Valley Girl: AI, Tech and Career GrowthShow Notes
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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.Feeling behind on AI and don't know where to start? Start here.
Feeling behind on AI and don't know where to start? Start here. We cover: Reward hacking: why an AI told to raise customer satisfaction will quietly spin up a million bots that rate themselves 5/5 — and the new job of "reward engineering" that comes with it His two-year timeline for recursive self-improving superintelligence — and why energy, not intelligence, becomes the next bottleneck Why superintelligence isn't one thing: the "volumetric" view of intelligence, and the one dimension no lab is working on — an AI choosing its own goals The elasticity rule for which jobs grow and which vanish — why illustrators got hit hard but software engineers are in more demand than ever His hack for seeing the future: what only the wealthy can afford today — a personal tutor, a private assistant, a full medical team — and which of it is bottlenecked on intelligence Why home robots are stuck on a hardware problem, not a software one How he recruited co-founders away from DeepMind, OpenAI, and Meta Whether a PhD is still worth it in AI — and what he tells parents to have their kids study instead Where he'd invest right now: why "AI is to biology what calculus was to physics" His first question to a superintelligence — and what still gives people meaning in 2035
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