https://derekwang2002.github.io/ai-intelligence/en/projects/webanything/ Material changes in AI models, agents, engineering and infrastructure, with primary sources and recommendations. en Mon, 02 Nov 2026 16:56:00 GMT https://derekwang2002.github.io/ai-intelligence/en/events/ev-20261027-09/ ev-20261027-09-published Sat, 31 Oct 2026 15:56:40 GMT New TRIAL <p>WebAnything publishes an MIT-licensed pipeline for reconstructing web-agent environments from reference sites. The authors report 244 accepted website artifacts and 12,984 accepted tasks, then fine-tune Qwen3.5-9B on the generated trajectories. The fidelity audit and agent gains are author-run and have not been independently reproduced.</p><p>Recommendation: TRIAL</p><p>Sources: <a href="https://arxiv.org/abs/2610.24829">WebAnything paper</a> · <a href="https://github.com/stanford-oval/WebAnything">WebAnything repository</a></p>