· ai
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...
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- · ai
Prompt Engineering Is a Symptom (And That’s Okay)
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...
- · ai
This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
In the chaotic world of Large Language Model LLM optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better an...
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Beyond Basic Prompts: Elevating Your LLM Game
There's a meaningful distinction between using large language models and truly mastering them. While most people interact with LLMs through simple question-and-...
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Scaling Latent Reasoning via Looped Language Models
Abstract Modern LLMs are trained to 'think' primarily via explicit text generation, such as chain-of-thought CoT, which defers reasoning to post‑training and u...
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Evaluating chain-of-thought monitorability
OpenAI introduces a new framework and evaluation suite for chain-of-thought monitorability, covering 13 evaluations across 24 environments. Our findings show th...