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Original rewrites on React, Node.js, TypeScript and AI — practical notes from the same engineering practice behind our operator software. Article bodies are in English.
Tagged: Reasoning Models
LLM Scaling Laws, GPT-4o and Reinforcement Learning: What the Curves Predict
How to read LLM scaling laws, what Kaplan and Chinchilla found, how labs used them from GPT-3 to GPT-4o, and why reinforcement learning adds a new compute axis.
30 min readRecurrent Depth Explained: Looped Transformers and Hidden Reasoning
How recurrent-depth (looped) transformers reason in hidden state, why labs want them, what eight years of papers show, and what it means for local AI and oversight.
12 min readReAct Explained: How AI Agents Combine Reasoning with Real-World Actions
How the ReAct framework mixes reasoning with tool use in AI agents, and how it differs from chain-of-thought, reinforcement learning and reasoning models.
6 min read
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