DeepSeek-R1: The AI That Learned to Think (and Had an 'Aha Moment')
Imagine an AI that stops mid‑sentence, realizes it made a mistake, and says: “Wait, wait. That’s an aha moment I can flag here.” This isn’t science fiction—it h...
Imagine an AI that stops mid‑sentence, realizes it made a mistake, and says: “Wait, wait. That’s an aha moment I can flag here.” This isn’t science fiction—it h...
Article URL: https://www.anthropic.com/research/assistant-axis Comments URL: https://news.ycombinator.com/item?id=46684708 Points: 4 Comments: 0...
How Large Language Models LLMs work — a beginner‑friendly guide =================================================================== Learn how Large Language Mod...
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Or: what this book actually teaches if you read it like an engineer, not a magician. After my last post, a few people replied with variations of: > “Okay smart...
Why meaning moved from definitions to structure — and what that changed for modern AI When engineers talk about semantic search, embeddings, or LLMs that “unde...
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Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or f...
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Most AI chatbots work well—until you ask them something specific. Large language models don’t have access to your private documents or internal knowledge. When...
Article URL: https://geohot.github.io//blog/jekyll/update/2026/01/15/anthropic-huge-mistake.html Comments URL: https://news.ycombinator.com/item?id=46625445 Poi...
If you want to win in AI - and I mean win in the biggest, most lucrative, most shape-the-world-in-your-image kind of way - you have to do a bunch of hard things...