Open sourcing all recipes and data, congrats! 👏🤗

Introducing Grok 4, the world's most powerful AI model. Watch the livestream now: x.com/i/broadcasts/1…

Grok 4 (Thinking) achieves new SOTA on ARC-AGI-2 with 15.9% This nearly doubles the previous commercial SOTA and tops the current Kaggle competition SOTA

In my personal experience with Duolingo, I found that it isn't an education app, it's a mobile game -- it's completely ineffective at teaching languages but it's quite entertaining and it's great at making you *feel* like you're learning

Higgsfield just integrated Google Veo 3. Soul ID & Veo 3 - the most realistic, high-aesthetic, power duo. One subscription = fully end-to-end AI studio. Retweet this post to get a full guide in your DMs. And honestly, Higgsfield is all you need:

The problem for so many people, including some smart ones, to realize that LLMs will hallucinate no matter how hard you try to make them not do so is that, to understand this, one needs to train at least one classifier, put it in the wild, and try to patch it when it fails. This

this is all you need to use the newest Qwen3-Coder-480B + cli using Hugging Face Inference Providers on benchmarks, it's competitive with Claude Code, now it's vibe check time ✨

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Senior engineers that dismiss coding LLMs aren't learning them correctly. They often download an AI IDE or extension, try a few prompts, and throw their hands up complaining it didn't build the thing flawlessly. However getting the most out of LLMs today requires making

Not invented, but accelerated

Chain-of-Thought (CoT) prompting has been hailed for unlocking LLM reasoning, boosting performance in logic, math, and commonsense tasks. But this new study asks: is it real reasoning or just pattern mimicry? Through a data distribution lens, the authors find: • CoT works

In general there are two different kinds of methodology to produce progress in any science or engineering field... both are important and can lead to transformative progress. There's the "Edison way" where you brute-force a large predefined design space and you keep what works,

Congrats to Eric and the team at Genspark for launching Genspark AI Developer! It's a zero-setup, complete IDE that runs in your browser, like Replit. You describe what you want, you get visual feedback and you and iterate on the output. You can pick your model (e.g. Claude

The proprietary frontier models of today are ephemeral artifacts. Essentially very expensive sandcastles. Destined to be washed away by the rising tide of open source replication (first) and algorithmic disruption (later).

NVIDA chips are manufactured by TSMC, a Taiwanese company. They're created using EUV lithography machines manufactured by ASML, a Dutch company. These machines consist of >50% of German parts (by value), in particular ZEISS optics.

Transforming human knowledge, sensors and actuators from human-first and human-legible to LLM-first and LLM-legible is a beautiful space with so much potential and so much can be done... One example I'm obsessed with recently - for every textbook pdf/epub, there is a perfect

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Amazing insights from Sebastian Raschka x.com/rasbt/status/1…

Is ACE the next Context Engineering Technique? ACE (Agentic Context Engineering) is a new framework that beats current state-of-the-art optimizers like GEPA by treating context as an evolving, structured space of accumulated knowledge. What is ACE? ACE treats context as an

AI coding will shrink the size of engineering teams. Why? You can do more with fewer engineering resources. In our Stanford course 𝗧𝗵𝗲 𝗠𝗼𝗱𝗲𝗿𝗻 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 we discussed how the end state for engineering teams is for every engineer to become an