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19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

24 Jul 2026ExecuGraph: A Multi-Agent, Execution-Grounded Framework for Reliable Backend Code Synthesis with Large Language Models

arXiv:2607.20499v1 Announce Type: new Abstract: Large Language Models generate plausible backend code, but a single-pass paradigm provides no guarantee of correctness or runtime reliability. We presen

3 Aug 2026Running gpt-oss:20b locally and grading it head to head against a frontier model on real tasks. It held up better than I expected

I serve a free local model on my Mac Mini and route real agent work to it. To check I was not fooling myself, I set up a blind grader that replays frontier tasks locally and scores both. https://previ

11 Aug 2026💡The world needs an open-source platform, and that’s exactly what we’re building to give our customers more choice and the flexibility to c…

💡The world needs an open-source platform, and that’s exactly what we’re building to give our customers more choice and the flexibility to choose the right model for the right task. As part of this, we

16 Sept 2026Testing Qwen 3.8 27B running locally on a single 5090 via Ollama

I wanted to test what Qwen 3.8 27B running locally on a single 5090 could do in Row-Bot. I gave it just one prompt: 'I want you to create an animation showing what the current local model can do. Test

17 Sept 2026Technical Feedback: GLM-5.1 Retirement — Significant Regression in Agentic Workloads

Hi Ollama Team, I’m writing regarding the announced retirement of GLM-5.1 from Ollama Cloud on 25 September 2026. I wanted to provide some fairly detailed technical feedback because GLM-5.1 is not sim

28 Sept 2026Why your startup needs open models alongside frontier APIs

Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core p

30 Sept 2026Vulnerability Discovery and Exploitation Trends in the AI Era

Written by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact

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