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Good read!

Still the most interesting one to deep dive.

Pretty cool.

Can’t stop thinking about the tooling build using interpretability. Building the bridge between the research & applications. I have been thinking about this lately. Goodfire is it possible to grant an access to Ember for some research work?

++. Unlocks lot more stuff.

We are getting close to find out what to blame for the output, we will soon be able to manipulate it.

"The first requirement of a scientist is to be curious. He must be capable of being astonished and eager to find out." — Schrödinger

Individual preferences are shaping these intelligent systems.

What new forms of work, meaning or purpose will emerge? What new inequalities could be created?

Murakami, what a paragraph

Historical win.

At the core everything is derived from physics and mathematics.

Algorithms that scale is what matters

Excellent advice from Jimmy Iovine:

If you’re at the forefront of science, you will fail a great deal, eventually to succeed greatly

“It’s just a good thinking game” Demis Hassabis

Why don’t we portray things, the way they are. What does it take?

PyTorch and vLLM are both critical to the AI ecosystem and are increasingly being used together for cutting edge generative AI applications, including inference, post-training, and agentic systems at scale. 🔗 Learn more about PyTorch → vLLM integrations and what’s to come:

Grateful.