simonw starred indieweb/indieweb-chat-archive: Full archive of IndieWeb chat log data files
Full archive of IndieWeb chat log data files. Stars: 16
Chronological feed of everything captured from Simon Willison.
Full archive of IndieWeb chat log data files. Stars: 16
An open-source AI agent that brings the power of Gemini directly into your terminal.. Stars: 101355
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.. Stars: 21087
Citations: 7.
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Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.. Stars: 14787
A cloud-native database based on PostgreSQL developed by Alibaba Cloud.. Stars: 3149
AI Observability & Evaluation. Stars: 9268
MLX: An array framework for Apple silicon. Stars: 25378
Security vulnerability database inclusive of CVEs and GitHub originated security advisories from the world of open source software.. Stars: 2225
Simon Willison expresses a desire for OpenAI to disclose the specific model powering ChatGPT's voice mode. He proposes integrating this voice model with background agents leveraging GPT-5 for complex tasks, including verbal cues like "let me think a moment." Additionally, he advocates for an overall performance upgrade to the voice mode's underlying model.
Simon Willison expresses disinterest in developing a custom solution for hourly polling of his X feed. The primary barriers are insufficient motivation and the stringent requirement for reliable mobile functionality on his phone. This highlights practical constraints in personal automation projects prioritizing phone usability.
Simon Willison observes that AI agents reliably handle straightforward mobile app development tasks when the codebase provides style precedents. Tasks like implementing TDD-driven features such as a /recent.json endpoint using SQL queries succeed due to matching existing code patterns. This suggests agent performance hinges on codebase familiarity rather than task complexity.
Simon Willison counters Steve Yegge's portrayal of San Jose as a post-apocalyptic ghost town by highlighting a KQED series on its thriving food scene. The series emphasizes diverse culinary offerings including Vietnamese malls, Mexican flea market taco stands, exceptional pho, and the Bay Area's most delicious Somali food. This suggests hidden vibrancy amid high living costs and apparent urban emptiness.
Simon Willison counters Steve Yegge's portrayal of downtown San Jose as a post-apocalyptic ghost town by highlighting its rich ethnic food culture. Local residents recognize the area for Vietnamese malls, Mexican flea market taco stands, exceptional pho, decadent tortas, and the Bay Area's best Somali food. This food scene serves as a key positive attribute elevating perceptions of the city.
Gemma 4 8B runs decently fast on high-end local hardware like Mac Studio M4 Max with 128GB RAM, while the 31B variant delivers strong performance for private tasks such as PII document review but is too slow for rapid use. Ollama UI enables basic chatbot functionality without data leakage risks, outperforming cloud models like Claude for sensitive info, though it lacks advanced features like projects and memory. Users note the 26B A4B variant as promising for balancing speed and quality.
Simon Willison expresses positive impressions of the 26B A4B AI model after personal testing. He has not yet compared it to the 31B variant. This anecdotal endorsement highlights potential strengths in the 26B model's capabilities for technical users.
Simon Willison reports improved code quality from delegating repetitive, minor improvements like readability tweaks across 20+ locations to a coding agent. This process incurs no cost and leverages the agent's efficiency for small, tedious updates. The insight highlights AI's role in eliminating manual drudgery in coding workflows.
Simon Willison previously weighed minor code improvements against a 30+ minute time cost, often skipping them. Recent changes, implied by his X feed monitoring, automate this process. This shifts decision-making from tradeoff evaluation to effortless adoption of enhancements.
Simon Willison affirms that switching effectively between 2-3 projects simultaneously demands significant practice to achieve comfort. This highlights the skill-building aspect of context-switching in software development or knowledge work. Proficiency emerges from repeated exposure rather than innate ability.
From the comments: /* Earring sparkle */, <!-- Opossum fur gradient -->, <!-- Distant treeline silhouette - Virginia pines -->, <!-- Front paw on handlebar --> ... static.simonwillison.net/static/2026/...
Here's the transcript gist.github.com/simonw/1864b...
Generate an SVG of a NORTH VIRGINIA OPOSSUM ON AN E-SCOOTER came out even better bsky.app/profile/simo...
There's concrete evidence this time - the preview model has found genuine security vulnerabilities in real world software which have been accepted and patched
Pelicans for Meta's new Muse Spark models - plus I did a bit of a deep dive into the Code Interpreter and fascinating "container.visual_grounding" tools in their meta.ai chat UI simonwillison.net/2026/Apr/8/m...
Ignore the bits about the Trump administration, what's more interesting is the genuinely credible (and unaffiliated to an AI lab) security researchers who are taking this seriously now www.theregister.com/2026/03/26/g... and mastodon.social/@bagder/1163... and lwn.net/Articles/106...
Makes total sense to me that Daniel is not about to outsource FIXING these issues to AI himself
Most of those reports are from currently available models - but the fact that they're credible makes me believe Anthropic when they say that Mythos is even better at that
I'm really looking forward to API access to the image bounding box, counting and point features, those are amazing
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f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.. Stars: 159499
Data scraped from LG&E/KU's outage map. Stars: 6
An up-to-date archive of the data from https://petition.parliament.uk & http://petitions.number10.gov.uk. Stars: 16
The highest-scoring AI memory system ever benchmarked. And it's free.. Stars: 43697
MapLibre GL JS - Interactive vector tile maps in the browser. Stars: 10364
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming... Stars: 6314
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.. Stars: 183356
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured. Stars: 17812
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:. Stars: 46829
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Infisical is the open-source platform for secrets, certificates, and privileged access management.. Stars: 25841
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.. Stars: 4081
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL. Stars: 6269
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.. Stars: 19992
Asynchronous HTTP client/server framework for asyncio and Python. Stars: 16398