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Claude Code's --worktree Now Accepts a GitLab Merge Request URL Directly, No Number Conversion Needed  ·  Claude Code Remote Control Now Streams Live: Every Foreground Subagent Tool Call, Visible on Your Phone  ·  Claude Code Adds PreModelSwitch/PostModelSwitch Hooks: Switching Models Can Finally Be Intercepted and Logged  ·  Claude Code's New /design Skill: Turn a Screenshot or an Idea Into an Editable Interface  ·  Claude Code's Auto Mode Became the Default on 8/14, and Its Rules Are Now Written as Plain Sentences  ·  Claude Code's New Feature: It Drafts Its Own Feedback Report When Something Goes Wrong, and You Decide Whether to Send It

Fundamentals

Lead · Fundamentals

Why Models Answer Confidently When They're Wrong: Hallucination Isn't 'Not Knowing,' It's a Side Effect of the Mechanism Itself

What a model is good at is generating a plausible continuation of text, not inherently possessing the ability to verify facts — whether something sounds plausible and whether it's true are two not-entirely-related things.
Use Claude for a while and most people run into an especially confusing situation: the model states something that sounds confident, specific, and doesn't waver in tone at all — and it turns out to be wrong. This hallucination phenomenon is often intuitively understood as "the model doesn't know the answer but forces one anyway," but that understanding is only half right. More precisely,...
Fundamentals
What Actually Fits in a Context Window: Translating the Abstract Token Count Into Content You Can Picture
The capacity ceiling only answers whether content fits at all — it doesn't...
Fundamentals
Anthropic's Model Welfare Research: What a Company Does If Claude Might Have Some Degree of Moral Status
Given genuine uncertainty, flatly assuming "definitely not" is just as...
Fundamentals
Context Rot: Why Stuffing More Into Claude's Context Window Can Make Answers Worse
A bigger context window doesn't mean bigger attention — stuffing in more...
"What a model is good at is generating a plausible continuation of text, not inherently possessing the ability to verify facts — whether something sounds plausible and whether it's true are two not-entirely-related things."
— Claude Me
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More Fundamentals

Jun 17

How an LLM Actually Generates Text: A Real Explanation for Non-Engineers

An LLM isn't thinking — it's predicting, one token at a time, what most...
Jun 16

Constitutional AI: How Anthropic Trains Values Into Claude

Constitutional AI's biggest breakthrough isn't making AI more obedient —...
Jun 11

Mechanistic Interpretability: Why Anthropic is Dissecting Claude's 'Brain' — Frontier AI Explainability Research

Anthropic's most unsettling 2024 Mechanistic Interpretability finding: when...
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