🔤 Tokenization - buckman · Scour

Interesting note from Simon Willison that Claude’s new tokenizer tra... 🤖Claude Code

How to Automate MEV Blockchain Analysis Using OpenClaw and MCP ⛓️LangChain

pawelurbanek.com·2d

Foundations of Verifiably Encrypted (Blind) Signatures 🔐Decentralized Identity

eprint.iacr.org·5d

This crypto startup is backing its token with limestone mines and hydropower plants ₿Crypto

sg.finance.yahoo.com

·2d

The future of juniors in the “age of AI” 💬NLP

aleksei.dev·1d

How we fixed prompt injection for all models on Fireworks 🧠Context Engineering

fireworks.ai·3d·Hacker News

70,000 Empty Accounts: The Owner Doesn't Know He Left 120 SOL Behind 🌑Dark Pools

solchekers.com·2d·DEV

https://research.perplexity.ai/articles/advancing-search-augmented-language-models 🧠LLM Training

research.perplexity.ai·4d

Lazy bitcoin journalism (TFTC Bitcoin Brief) \ stacker news ₿Crypto

stacker.news·2d

GenNA: Conditional generation of nucleotide sequences guided by natural-language annotations 🤖Large Language Models

biorxiv.org·2d

Could AI language models be used to help align themselves? 🤖GenAI

3quarksdaily.com·4d

Inside OpenAI's No-Review Codebase, the 98% of Claude Code That Isn't the Model, and BMad's Six-Agent Dev Team - 📚 The Tokenizer Edition #25 🤖AI Coding Tools

newsletter.artofsaience.com·4d

Quick Paper Review: "There Will Be a Scientific Theory of Deep Learning" 📊ML Research

lesswrong.com·2d

Images cost 3x more tokens in Claude Opus 4.7 🔍Binary Diffing

claudecodecamp.com·6d·Hacker News

User-side software, and adversarial marketplaces 📊Polymarket

faingezicht.com·5d·Hacker News

Why Tone Works (It's Not What You Think) 🧠Cognitive Warfare

kitchencloset.com·5d·r/artificial, r/singularity

Using LLMs effectively isn't about prompting 🧠Context Engineering

seangoedecke.com·6d·Hacker News

Watch language models think. ✍️Prompt Engineering

openinterp.org·3d·Hacker News

Train separately, merge together: Modular post-training with mixture-of-experts 🧠LLM Training

allenai.org·6d·Hacker News

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction 🧠LLMs

biorxiv.org·2d

Log in to enable infinite scrolling