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news.stanford.edu Stanford Digital Brain Project to model the human brain A university-wide project aims to predict brain dynamics and accelerate treatments for brain disorders. What would it take for AI to learn as efficiently as a child? And how close are today's LLMs, world models, and robots?View quoted post on X
Two targets: pretraining efficiency and zero-shot flexibility.
No AI system today has both. x.com/i/article/2118…
Chain-of-thought transformed AI reasoning, but it is limited to words.
What's the physical-world analogue?
Introducing Ψ-0.6, one model that reasons in *streams of thought*: words, depth, motion, camera pose, and imagined scenes. And it learns when to use which! 🧵View quoted post on X
Hmm, these results are only on MNIST, which even trivial methods like Feedback Alignment work well on. Of course, everything works on MNIST! 😉View quoted post on X
Which is why we focused on bioplausible learning that scaled w/ backprop on ImageNet 6 years ago... arxiv.org/abs/2003.01513
