models like Kimi, DeepSeek and Qwen will cost the closed AI labs BILLIONS of dollars. that's why nobody is talking about them. despite these LLMs absolutely crushing all of the benchmarks. Claude 4 Opus is literally *100x* more expensive than Kimi K2 yet both models have

They learnt about hugs today 🥹

Companies are using fake humans and AI to do interviews now...

"Roomba of coding" is such an apt analogy for all current-generation coding agent tools.

If you give your AI model a French name, it is perhaps not surprising it will be offline 20% of the year.

A decade ago, Richard Socher gave the "don't be a hero" advice on choosing hyperparams for DL model training. Today's version of "don't be a hero" is picking the right LLM for the task at hand. If people you trust have said some model works for a task, use it.

if you poke a (inverted) bowl-shaped jello, it will wiggle in a certain way to eventually go back to being bowl-shaped. if something behaves this way consistently, it is undoubtedly a bowl-shaped jello.

person with the longest update during standups has the weakest update

Super dumb take from ICML. Adding a subversive prompt to deter robot reviews is morally no different than using a fake email address to deter spammers. If authors don’t resort to subversive measures, reviewers will have no incentive not to use LLMs for reviewing.

There will be no other terminal UX agent better than this. It’s like Michelangelo sculpting your garden sculpture. Go kiss the toad!

models are learning from mistakes and, increasingly, from doing, while human learning is increasingly "by theory" (consuming model outputs). something to ponder.

An important caveat is they provide problem-specific hints like “use combinatorics for this problem”.

I present, Google's dying search business:

Engineering faculty will not admit, but this is more or less true in computer science programs at most schools. Most courses today are creating ‘busy work’ and evaluating students on that, in exchange for reputation signals. Academics will not acknowledge this as it would require

Two wrongs don't make a right, and the US (the most powerful military in the world) losing its moral grounds is worse for all of humanity.

AMD teams contributing to the llama.cpp codebase. Great support from the community with the review process. Exciting to see this open-source collaboration!

Definitely not $10000 hours

Salt & Straw 🤮 Why go to Salt & Straw when Smitten is nearby!