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Research2026-09-15 · source-backed
Martin Bertran Lopez and Aaron Roth published "What fits (into few tokens) doesn't overfit" on September 10 (Amazon Science). Across eight datasets spanning tabular and image classification, language modeling, diffusion and reward modeling, winning strategies compressed to 16-32 tokens with no performance loss, including one language-modeling recipe surviving as QKn 12L768 Mu .1 R² b2M 4x. Their argument is that short descriptions can't cheat because there's no room to memorize, which makes compression a cheap overfitting test: genuinely overfit strategies lose their validation-specific gains when squeezed.
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Go open your CLAUDE.md. Count the instances of "must" and "never." A reader on r/ClaudeAI did exactly that after Anthropic's September 8 platform post and found 66 of one and 54 of the other across their rule files. Their complaint wasn't the count. It was that they couldn't t...
The report covers December 2025 through August 2026. It describes ShinyHunters affiliates who used "vibe hacking" to go from a single token to admin, then reached 200+ downstream organizations. In a separate case, operators pulled more than 2,100 Azure AD tokens from 40+ tenan...
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The June 12 release connects Cursor, Claude Code, Windsurf, VS Code, Amazon Q, and Kiro to pipeline, build, log, test, and workflow data over MCP. Agents can reason over CI state, like diagnosing a failing build straight from logs, without copy-paste. MCP is becoming the defau...
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