Sublime

Yoshua Bengio says when OpenAI develop superintelligent AI they won't share it with the world, but instead will use it to dominate and wipe out other companies and the economies of other countries https://t.co/TRttgJ8VF2

Jim Simons told us everything needed to be an algo trader (MIT lecture) https://t.co/BDGX1Iw6nY

If you’re learning ML, learn distributed systems. Then systems design, inference-time optimization, observability, and explainability. Anyone can train a model in Jupyter notebooks. Running it reliably, scalably, and responsibly is the real game.

Nice article in Financial Time where I explain that Auto-Regressive LLM are insufficient to reach human-level intelligence (or even cat-level intelligence). But alternative architectures that I call "objective driven" may reach human-level intelligence one day. They use world models based on JEPA (Joint... See more

> Linear Algebra by Prof Gilbert Strang > Probability Theory Prof John Tsitsiklis > Information Theory by David Mackay > Optimization theory by Stanford University > Machine learning by Andrew NG(Stanford course) This is all you need to master ML. Coursework +... See more