Science has a hidden frontier. Not the frontier of what is true. The frontier of what is thinkable. A remarkable new preprint by Alejandro H. Artiles, Martin Weiss, Levin Brinkmann, Iyad Rahwan, Bernhard Schölkopf, Christopher Pal, Hugo Larochelle, Anirudh Goyal, and Nasim
LLMS
-
Apology and warning: learn local LLMs to avoid rug pulls
By
–
I am sorry man, I keep telling people they must learn how to run LLMs locally and be ready to get rugpulled at any moment by these companies
-
AI Transitions from Token Maximization to Cost Efficiency
By
–
We are transitioning from the intelligence/tokens maximizing era to the cost efficiency optimization era.
-
Free online LLM bible: Understand ChatGPT, run models at home, future AI careers
By
–
DROP EVERYTHING The bible for how LLMs work is now available online to read FOR FREE This is for you if you: – Want to run these LLMs at home on your hardware?
– Want to understand how ChatGPT works?
– Want to work at an AI Lab in the future? Covers all the concepts from -
LLMs should aid human learning, creativity, and experimentation
By
–
I feel that the trend towards training models to autonomously go off and try to do everything themselves is anti-human. We should, IMO, be training LLMs to support humans in their learning, creativity, and iterative experimentation.
-
Inquiry about safetensors version availability vs ggufs
By
–
Do you have a safetensors version published or only ggufs?
-
Anthropic engineers’ token-saving habits, no setting changes needed
By
–
this guy literally breaks down the exact habits Anthropic engineers use to save millions of tokens without changing a single setting 🤯
— Charly Wargnier (@DataChaz) 22 mai 2026
Watch the video, then bookmark the written guide 👇 https://t.co/gAHjGmFxwy pic.twitter.com/Hlb96srixBthis guy literally breaks down the exact habits Anthropic engineers use to save millions of tokens without changing a single setting Watch the video, then bookmark the written guide
-
GPT-5.5 Generates 30k Lines QML with Agentic Reasoning
By
–
GPT-5.5 cranking out 30k lines of QML for the Omarchy 4 branch + nailing subtle agentic reasoning!!
-
Claude MD File: Top GitHub Repo Uses Karpathy’s 4 LLM Principles for AI Control
By
–
DID YOU KNOW THE #1 GITHUB TRENDING REPO (146K+ STARS) IS LITERALLY JUST A CLAUDE MD FILE? It uses @karpathy
's 4 LLM principles to keep AI in check: → Seek clarity: Always ask before making assumptions.
→ Stay minimal: Avoid bloat and keep things simple.
→ Edit -
Thousands of tokens per second across parallel requests
By
–
1000s of toks/sec across a dozen parallel requests if not more