Press Space to continue
Press Space to continue
Planetary VC founder @ramez explains why AI's enormous appetite for training data could become a major limitation, with Waymo needing 10 million miles to learn what teenagers can in under 1,000: "If you have to get training data by attempting things on humans, that means your data is much more limited. And current AI models require an enormous amount more training data than we do." "A teenager gets their driver's license after less than 1,000 miles of driving. It took Waymo the first 10…
MTS@MTSlive2h ago
FULL INTERVIEW: Ramez Naam says AI's self-improvement loop is 5 to 10 times too weak to take off on its own, even with no humans in the loop. OpenAI researchers used 124x more tokens per person and ran just 1.6x more experiments. He says the labs' own data doesn't match what their leaders are claiming. @ramez, founder and managing partner of Planetary VC, made the case on Noahpinion that the intelligence explosion isn't close yet. He joined @theojaffee and @schisofrenia to lay out the numbers behind it: 00:58 where's the intelligence explosion 03:08 124x more tokens, 7x more code, 1.6x more experiments 03:54 what a self-sustaining loop would actually take 05:11 why the labs' claims don't match their own system cards 09:48 AI capex vs big tech's free cash flow 11:20 why AI revenue growth will likely slow 14:03 why hyper-persuasion might not be possible 15:21 a teenager's 1,000 miles vs Waymo's 10 million 16:39 the math result that could break the loop open 18:28 why TasteVal doesn't measure real research taste 23:11 the one AI regulation he wants 24:39 why agent swarms have the worst scaling we've seen 27:24 Opus 5.5 stalling at 10 agents, and Columbus, Ohio vs Einstein
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