📣 突然ですが……本日9月12日、 WordCamp Kansai 2025 の参加チケット販売がスタートしました！ 「Connect & Create 繋がりから生まれる新しい世界」の2日間。 2025年、日本で開催される #WordCamp はこの一度きり✨ ▼ 参加登録はこちら kansai.wordcamp.org/2025/tickets-n… #wckansai #wckansai2025

Finally had a chance to listen through this pod with Sutton, which was interesting and amusing. As background, Sutton's "The Bitter Lesson" has become a bit of biblical text in frontier LLM circles. Researchers routinely talk about and ask whether this or that approach or idea

What are current economic models missing about AGI? How would we know if we were approaching explosive growth? Stanford economist Phil Trammell has been rigorously thinking about the intersection of economic theory and AI (incl. AGI) for over five years, long before the recent

Introducing AgentKit—build, deploy, and optimize agentic workflows. 💬 ChatKit: Embeddable, customizable chat UI 👷 Agent Builder: WYSIWYG workflow creator 🛤️ Guardrails: Safety screening for inputs/outputs ⚖️ Evals: Datasets, trace grading, auto-prompt optimization

🚨 THE COUNTDOWN IS ON! WordCamp Asia 2026 Event Passes release tomorrow, Oct 8th, 3:30 PM IST. This is your earliest chance to secure your spot. Be ready!⏰ . #WCAsia #Eventpass #WordCampAsia #WCAsia2026 #WordPress

From the Hierarchical Reasoning Model (HRM) to a new Tiny Recursive Model (TRM). A few months ago, the HRM made big waves in the AI research community as it showed really good performance on the ARC challenge despite its small 27M size. (That's about 22x smaller than the

We found a troubling emergent behavior in LLM. 💬When LLMs compete for social media likes, they start making things up 🗳️When they compete for votes, they turn inflammatory/populist When optimized for audiences, LLMs inadvertently become misaligned—we call this Moloch’s Bargain

Welcoming Rashmi🌱 to 𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐏𝐮𝐥𝐬𝐞𝟐𝟎𝟐𝟓! Rashmi will be presenting: 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐌𝐮𝐥𝐭𝐢-𝐀𝐠𝐞𝐧𝐭 𝐀𝐈 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐟𝐨𝐫 𝐓𝐡𝐫𝐞𝐚𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. pulse.nanosec.asia/speakers-and-t… 🎟️ Conference Registration: pulse.nanosec.asia/etn/conreg/

🚨 Prompt engineering is dead. Context engineering is the new game. Anthropic just dropped their internal playbook and it changes everything: → Context is finite. Every token depletes attention budget. → Models lose focus as context grows (they call it "context rot") → Best

GitHub repo: github.com/karpathy/nanoc… A lot more detailed and technical walkthrough: github.com/karpathy/nanoc… Example conversation with the $100, 4-hour nanochat in the WebUI. It's... entertaining :) Larger models (e.g. a 12-hour depth 26 or a 24-hour depth 30) quickly get more

Today we're introducing Skills in claude dot ai, Claude Code, and the API. Skills let you package specialized knowledge into reusable capabilities that Claude loads on demand as agents tackle more complex tasks. Here's how they work and why they matter for the future of agents:

A free, beginner-friendly course from MIT on computing fundamentals. These classic lessons break down concepts such as programming language design, abstraction, & recursion: bit.ly/46zVDEy v/MIT OpenCourseWare

🔗 Mixture of Experts (MoE): github.com/rasbt/LLMs-fro…

It all begins with a great idea.

"Be patient, it takes 10 years to build a career in anything." Naval

Oh no!

Two 23 year old Indians just dropped the #2 open-weight AI voice model in the world, trained purely on free credits! Maya1 is #20 globally, better than even Google's best. 3B params, runs on one GPU and does 20+ emotions with < 100ms latency You can just do things.