我认为很容易说“模拟是一种新的缩放法则”并将其视为营销夸张，但在这次采访的中间，你可以听到我从有点废话到非常非常严肃。
我认为很容易说“模拟是一种新的缩放法则”并将其视为营销夸张，但在这次采访的中间，你可以听到我从有点废话到非常非常严肃。 我迟到了两年，但终于明白为什么@karpathy和@drfeifei支持的@joon_s_pk @msbernst @percyliang等人 - Smallville 当时的商业应用程序为零，但如果你考虑RSI严重的是，从模型自动化越来越大的部分ML研究和AI工程方面，最后一个*障碍是模拟人类和人类反馈，而 Simile 显然是做到这一点的团队，并且已经发现PMF即使在早期阶段，也已跻身《财富》100 强之列。 我从来没有这么高兴过犯了这么大的错误。 *或倒数第二个！ :) 更多关于科学播客的内容
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I think its easy to say "Simulation is a new scaling law" and treat it as marketing hyperbole, but midway along this interview you can hear me go from somewhat shitposting to very very serious. I am 2 years late to this but finally understand why @karpathy and @drfeifei backed @joon_s_pk @msbernst @percyliang et al - Smallville at the time had zero commercial applications, but if you take RSI seriously, from models automating increasingly large parts of ML research and AI engineering, the last* barrier is simulating humans and human feedback, and Simile is obviously the team to do this and already finding PMF at Fortune 100s even at this early stage. I've never been so happy to be so wrong. *or second last ! :) more soon on the Science pod
I think its easy to say "Simulation is a new scaling law" and treat it as marketing hyperbole, but midway along this interview you can hear me go from somewhat shitposting to very very serious. I am 2 years late to this but finally understand why @karpathy and @drfeifei backed @joon_s_pk @msbernst @percyliang et al - Smallville at the time had zero commercial applications, but if you take RSI seriously, from models automating increasingly large parts of ML research and AI engineering, the last* barrier is simulating humans and human feedback, and Simile is obviously the team to do this and already finding PMF at Fortune 100s even at this early stage. I've never been so happy to be so wrong. *or second last ! :) more soon on the Science pod
I think its easy to say "Simulation is a new scaling law" and treat it as marketing hyperbole, but midway along this interview you can hear me go from somewhat shitposting to very very serious. I am 2 years late to this but finally understand why @karpathy and @drfeifei backed @joon_s_pk @msbernst @percyliang et al - Smallville at the time had zero commercial applications, but if you take RSI seriously, from models automating increasingly large parts of ML research and AI engineering, the last* barrier is simulating humans and human feedback, and Simile is obviously the team to do this and already finding PMF at Fortune 100s even at this early stage. I've never been so happy to be so wrong. *or second last ! :) more soon on the Science pod
Simulating Humanity: 85% accurate digital twins, behavioral foundation models, social physics, & 8 billion agents https://www.latent.space/p/simile @simile_ai CEO @joon_s_pk explains how AI can move from predicting what people will do to simulating how to shape outcomes, why today’s frontier models still miss how humans actually behave, how digital twins reproduced people with 85% accuracy, why human biases and mistakes have to be learned rather than optimized away, and what it would take to eventually simulate all 8 billion people on Earth.
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