Claude’s Constitution & Consciousness: What Changed and What Users Will Notice

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Claude’s Constitution & Consciousness: What Changed and What Users Will Notice Play Introduction You can learn a lot about a company’s AI by watching it fail. Not in the dramatic, “the demo exploded on stage” way, but in the quiet way your prompt hits a policy wall, your harmless question gets a strangely careful answer, … Read more

Mechanistic Interpretability (2026): Reverse-Engineering LLMs Into Features, Circuits, and Causal Traces

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Mechanistic Interpretability (2026): Reverse-Engineering LLMs Play Introduction Mechanistic interpretability is the “take it apart and see how it works” branch of AI interpretability: instead of treating a model as a black box and correlating inputs to outputs, you try to recover the internal computations that produce behavior, down at the level of activations, learned features, … Read more

LFM2.5-1.2B-Thinking Guide: On-Device Reasoning Under 1GB, Setup, Speed, And Real Tradeoffs vs Qwen3

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LFM2.5-1.2B-Thinking Guide: On-Device Reasoning Under 1GB Play Introduction Two years ago, “reasoning” meant a GPU somewhere else doing the thinking for you. Today, you can tuck a surprisingly capable model into a phone-sized memory budget and run it like an appliance: tap, prompt, answer, no network dependency, no waiting for a server to wake up. … Read more

Anthropic Assistant Axis: What It Is, What It Prevents, And What It Might Break

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Watch or Listen on YouTube Anthropic Assistant Axis, Persona Drift, Jailbreak Defense 1. Introduction: The Mask Everyone Has Felt Spend a few evenings with chat models and you start noticing the costume changes. Most of the time the model sits in a familiar groove, helpful, tidy, a little polite. Then the conversation veers, and the … Read more

GLM-4.7-Flash: The 30B Coding Sweet Spot? Benchmarks, Local Setup, And Real Trade-offs Vs Qwen3 And Nemotron

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Watch on YouTube GLM-4.7-Flash Benchmarks and Local Setup 16:24 Prefer the full breakdown? Read the article. 1. Introduction: Why This Model Is Suddenly Everywhere Some model launches arrive like a press release. This one arrived like a bar fight. Within hours, people were arguing about MoE math, active parameters, and whether the model can actually … Read more

Meta Dr. Zero Explained: The Self-Evolving Search Agent That Trains Without Human SFT Data

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Watch or Listen on YouTube Meta Dr. Zero Explained: Self-Evolving Search Agents Without Human Data Introduction Everyone wants “agents” that can look things up, chain multiple steps, and feel like a junior researcher who never sleeps. The annoying part is what it takes to get there: piles of hand-curated instruction data, constant refresh cycles, and … Read more