How to achieve AGI / ASI ? 1. Embodied representation learning 2. Just scaling up LLMs How one chooses seems highly *correlated* to whether they came into being as a researcher in computer vision, perception, and cog sci, or, on the other hand, in pure deep learning / NLP. -

ELI5⃣ 👉 When your LLM inference job is mixed with a batch of other peoples requests, GPU kernels doing reduction, matmul, attention can be affected by the batchsize, and that causes small numerical differences. 🔥Why is it important? ... 👏Horace He and team proposes a set

Moravec's paradox: "white collar work AI revolution will happen first"

The fed is about to enter into a cutting cycle There is also 7T in cash sitting in MMFs, on the sidelines Nobody can pick the peak or the trough consistently

GOAT. Linear algebra is all you need (for AI)

Customer interactions with Taco Bell’s AI has gone viral recently, for the *hilarious* reasons, leading to the pulling back of deployments 💡Why Taco Bell's voice AI failed: (and how to fix it) ❌Failure modes: 1. Sub-human language understanding 2. Adversarial attacks (mostly

Ironic

Notice that her face showed disgust even *before* she tasted the soup! AGI tests along these lines could be created both for video gen AIs and video understanding AIs.

RL from *expert demonstration* ?

In an era of AI overtaking humans in more and more domains, computer/AI ranking of sports teams is still quite different from humans, due to a low sample size. #AI #SportsPicks