VQV Signal

AI AT WORK WATCH TECHNICAL

Developers react to "Weight-Space Programming"

Cloudflare Workers lead @KentonVarda ("holy shit"), @thorstenball and @matvelloso all quoted @rikiyatakehi's thread, which says GPT-6 Astra edited just 0.016% of Qwen3.5-0.8B's weights directly, improving math up to 6x without gradients...

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-02T19:55:00+00:00 Detected 2026-11-02T22:25:19+00:00
View original source

Cloudflare Workers lead @KentonVarda ("holy shit"), @thorstenball and @matvelloso all quoted @rikiyatakehi's thread, which says GPT-6 Astra edited just 0.016% of Qwen3.5-0.8B's weights directly, improving math up to 6x without gradients...

Cloudflare Workers lead @KentonVarda ("holy shit"), @thorstenball and @matvelloso all quoted @rikiyatakehi's thread, which says GPT-6 Astra edited just 0.016% of Qwen3.5-0.8B's weights directly, improving math up to 6x without gradients or training. The original passed 9,000 likes within two hours; the developers'...

Teams using AI at work may want to compare this against current productivity and review workflows.

Signal Strength 78% Technical label WATCH Public Interest 26 Category AI AT WORK Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 28 Novelty Interest Score 70 Consequence Score 10 Curiosity Score 0 Shareability Score 46

VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).