Technical Reconstruction of LLM Training for High-Performance Chess Princeton researchers have developed a groundbreaking method to train large language models (LLMs) to achieve exceptional performance in complex tasks like chess, with the ability to explain their decisions. This innovation not…
I'm building a memory system for AI assistants. It stores what you tell it, forgets things on purpose, and keeps track of when a fact stopped being true. One small decision sits at the centre of it, and that decision is what this post is about. Every time a new fact comes in, the system has to ask…
Claude Opus 5 costs $5 per million input tokens whether a prompt arrives in English or in Russian. What changes between the two languages is how many tokens the same paragraph becomes, and the bill is that count multiplied by the price. A recent test on Habr measured the gap across 11 tokenizers.…
What Actually Happens During Speculative Decoding in LLMs Autoregressive language model generation is notoriously slow. When you run a 70-billion parameter model on an enterprise GPU, you might get 20 to 30 tokens per second. The intuitive assumption is that the GPU compute cores are sweating under…
Is the most expensive AI model the smartest one? I put 23 models' capability scores next to their API prices to check. Short answer: no. The top model costs about half of what the runner-up costs, and a model at 5% of the top price lands within 13 points of it. Capability scores come from the Epoch…
Claude 3‑Moral da Anthropic: o que todo desenvolvedor precisa saber para alinhar LLMs em 2026 Introdução O anúncio da Anthropic sobre o modelo Claude 3‑Moral explodiu nas timelines do Reddit, Hacker News e Twitter. Em menos de 48 h, buscas por “ethical AI models” subiram 240 % e a discussão sobre…
Anthropic’s Constitution‑Based RLHF Triggers a Wave of Ethical‑AI Action on Reddit and Beyond Introduction Anthropic’s latest “Constitution‑Based Reinforcement Learning from Human Feedback” announcement has lit up Reddit, Hacker News, and even the front page of The New York Times . Developers are…
Kaggle Benchmarking Challenge Submission by Anio Joseph What I Benchmarked Most security benchmarks ask: "Can the model detect the threat?" That's the easy part. The real question in a security operations center is: "Can the model stay quiet when the message is actually safe?" I built Phish or…
