The White House's AI model review framework requir, The video-editing-agent genre produces its third s, zhaoxuya520/reverse-skill, the viral reverse-engin

The White House's AI model review framework (per Washington Post/Axios/Fortune reporting; the framework text itself is not public) requires only closed, proprietary US models demonstrating state-of-the-art cyber/hacking capability to submit for pre-release government testing. Open-weight models are exempt -- American ones explicitly, and per r/LocalLLaMA's own reading today ('China's Open-Weight Models Will Be Spared US Safety Tests'), Chinese ones as a practical consequence. This is the opposite gating structure from Anthropic's own July 27 proposal for testing 'open and closed alike.'

The video-editing-agent genre produces its third same-day multi-entrant cluster: browser-use/video-use resurges on GitHub Trending (+320/day, 19,456 total, up from 14,023 at its 07-03 debut), VEED ships open-edit (a no-GUI, no-timeline editor driven entirely through Claude Code/Codex/Gemini, closed-source local renderer with a Chrome-render fallback), and a second independent Show HN launch claims a working MCP server for video editing.

zhaoxuya520/reverse-skill, the viral reverse-engineering/pentesting skill router, posts a fourth consecutive GitHub-API-verified growth day: 18,242 total stars, up from 16,274 a day earlier (~1,968 gained in 24 hours, continuing a gradual cooling). Still no second comparable skill router has appeared on GitHub Trending, so 'genuine vertical' status remains unconfirmed after four days.

Maple-Preview, a 20B-A1B ternary-weight reasoning model, runs at 218 tokens/second on a Mac mini M4 in a 5.31GB checkpoint, claiming 5-16x the speed of Gemma 4/Qwen3.5/gpt-oss at similar efficiency. HN commenters push back hard on accuracy: it 'hallucinates knowledge quite aggressively,' with one developer arguing small on-device models succeed by 'shrinking what you make it responsible for,' not by getting smarter.

A discovery search for the ternary/1.58-bit quantization technique behind Maple-Preview surfaces a parallel entrant this vault hasn't tracked before: 'Ternary Bonsai' / Bonsai 27B, another phone-class ternary model (27 tok/s on iPhone per one secondary write-up) -- suggesting ternary quantization is forming its own on-device axis, distinct from yesterday's MoE-expert/layer-streaming axis (Swiftlet/AirLLM).

One day after ChatGPT and Claude both vanished from the Play Store's captured top-30, today's capture still shows both fully absent -- but Perplexity reappears at #6, a rank far outside the '#20s' range yesterday's falsification test framed as the noise-confirming outcome, and not the sustained total absence its other branch anticipated either.

'Eight Myths on Software Engineering and GenAI' (HN #3, 139 pts/92 comments) extends this vault's 'accountability phase' thread with research grounding: developers spend only ~14% of their time writing code, and historic productivity jumps (assembly line) came from systemic redesign, not individual-developer tooling -- directly building on 07-31's '2x, not 10x' recalibration essay.

EveryInc/compound-engineering-plugin debuts on GitHub Trending (+40/day, 23,925 total) as an 'Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more' -- packaged multi-harness from day one, distinct from the Claude-Code-first-then-ported pattern this vault's packaged-methodology genre has shown so far (superpowers, book-to-skill, last30days-skill).