// AI news · 2026-11-08 · Dev.to LLM
Local replication of weight-space edit
Krishanu Das replicated a weight-edit on Qwen3.5-0.8B locally, finding that the unedited model fails to complete GSM8K tasks naturally even with high token budgets.
Published 2026-11-08 01:31 (Beijing time)Source Dev.to LLMAuto-summarised, fact-checked against source
01Summary
The edited version completes 10/30 problems and achieves 9 correct answers. Completion and correctness are distinct metrics; increased budget does not resolve the termination issue. Results align with authors' public logs showing poor termination in base model, indicating a fundamental flaw in thinking mode rather than budget constraints.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Unedited model completes only 2/30 GSM8K problems at 8k tokens.
- Edited model achieves 10/30 completion and 9/30 correct answers.
- Completion and correctness are independent metrics; more tokens don't fix termination.
- Results match authors' logs showing poor termination in base model.
03Source
Before trusting a weight edit, I measured the bug it fixes
Dev.to LLM · published 2026-11-08 01:31 Beijing time
05Related news
- Same source · Agent with memory improves incident response accuracy2026-11-08 · Dev.to LLM
- Same source · osFoundry optimizes Claude Code session caching2026-11-08 · Dev.to LLM
- Same topic · How to Run AI Models Locally and Why2026-11-01 · Decrypt
- Same topic · Image Labels Outperform Prompt Tweaks for Vision Models2026-11-01 · Towards Data Science
- Same day · Anthropic Pushes IPO with Lower Valuation2026-11-08 · The Decoder
From AIMap AI news: collected from 1,100+ official and media sources. Summaries only restate the original article; follow the link for the full story. All stories of 2026-11-08 · Archive by date · All AI news · Today