And

the face you make when you sell your vscode fork windsmurf for 3b

Kling v2 has great prompt adherence

https://t.co/GB5EiBgaG7

The tower has caught the rocket!!

https://t.co/gyNhGK2fpf

Thinking of everyone in the path of Hurricane Milton. Please stay safe!

@HopfieldJohn and @geoffreyhinton, along with collaborators, have created a beautiful and insightful bridge between physics and AI. They invented neural networks that were not only inspired by the brain, but also by central notions in physics such as energy, temperature, system

Check out NotebookLM! Create a notebook, upload one or more sources (e.g. PDFs of research papers, your favorite PhD thesis, a newspaper article, etc) then click on 'Generate' to create a podcast of two voices talking about the content you've uploaded. https://t.co/FSCBvsr8tw

The Llama 3 paper is a must-read for anyone in AI and CS. It’s an absolutely accurate and authoritative take on what it takes to build a leading LLM, the tech behind ChatGPT, Gemini, Copilot, and others. The AI part might seem small in comparison to the gargantuan work on *data*

It is remarkable that anyone can now train a 124M parameter LLM in about real-time on a MacBook M3. So easy to experiment. This would have been the stuff of dreams when I was in school. I ❤️ training neural nets, but I really admire the people who build the hardware.

25 years ago today I officially started at a small search engine company, wedged into a tiny office space above what's now a T-Mobile store in downtown Palo Alto. Since then, I have had the incredible pleasure of working with awesome colleagues on software used by billions of

Apple Intelligence is going to unlock a world of new possibilities for our users, and it’s thrilling to see our developers begin to build with it. We’re excited to see the amazing things they create.

As Apple Intelligence is rolling out to our beta users today, we are proud to present a technical report on our Foundation Language Models that power these features on devices and cloud: https://t.co/TaAdd0fBOp. 🧵

There are only two hard things in Computer Science: cache invalidation and naming things. -- Phil Karlton There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors. -- Leon Bambrick There's two hard problems in computer science: we

Memory Matters for LLM. While everyone is rushing to provide the serverless Llama3-405b model, I want to talk about one key choice that matters a lot, especially for dedicated enterprise deployments when traffic is not very high: memory. - The normal deployment of a model the

Llama 3 is the new PyTorch

Exclusive: Meta just released Llama 3.1 405B — the first-ever open-sourced frontier AI model, beating top closed models like GPT-4o across several benchmarks. I sat down with Mark Zuckerberg, diving into why this marks a major moment in AI history. Timestamps: 00:00 Intro

If your PhD advisor dresses like this, you don’t have to worry about using neural nets in your thesis

Great points. Intelligence and knowledge are related but not the same; we are currently evaluating LLMs for their knowledge (very much tied to memory). Adaptability on the other hand is a big factor for intelligence.