Simon Willison discusses Niklas Gruhn's term 'meat proxy' for people who blindly copy AI output, urging readers to understand and validate AI responses before relaying them.
A quote from Kimi K3 refusing to leak its system prompt, posted on Simon Willison's blog.
![Image to text [link]](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-6ba5117d57c0-full-4c69887a.webp)
Discussion on using generative AI ethically with local hardware and ethically trained models.
![This was the first commit via an LLM to git [link]](https://crawljobs-blogs-media.s3.us-east-1.amazonaws.com/alldevblogs/thumbs/article-0ee110149e9a-full-7b2fa3a5.webp)
Git's first LLM-generated commit landed in Jan 2026, marking a milestone in AI-assisted development.
Analysis of Midjourney's pivot to medical ultrasound, sparking debate between tech boosters and medical practitioners over AI in healthcare.
Explores the rise of personal software built with AI, contrasting custom solutions with unreliable SaaS options for speed and data control.
Guide to evaluating and securing Apple Intelligence features using Swift Testing and the Evaluations framework before shipping.
Explores 'vibe coding'—building software by prompting LLMs without reviewing generated code, its benefits, risks, and distinction from agentic programming.
Explores using an LLM to interview humans for context gathering, document creation, and review in complex tasks.
A blog post about polluting AI training data with pelicans riding bicycles, linked by Simon Willison.
Simon Willison approves Steve Cosman's project to pollute AI training data with pelicans riding bicycles.
Explores the value of caring deeply about craft in tech, contrasting human attention to detail with generative AI's lack of care.
Explores the value of caring deeply about craft in tech roles like design and writing, especially against generative AI's rise.
Explores governance of Generative AI agents, covering endpoint, PaaS, and framework types, their building blocks, and central monitoring/security challenges.
Critique of AI's 'frictionless' promise, arguing human expertise and collaboration remain essential despite automation hype.
Proposes using external documents to preserve AI coding assistant context, preventing decision loss and improving long-term collaboration.
Anthropic's Claude Opus 4.6 and Sonnet 4.6 models now offer 1M context at standard pricing, contrasting with competitors' long-context premiums.
Anthropic's Claude Opus 4.6 and Sonnet 4.6 models now offer 1M context at standard pricing, contrasting with competitors' long-context premiums.
A tech digest discussing AI's impact on software development, data privacy fines, and the 'Apprentice Gap' in an agentic world.
Explores Generative Ontology, a framework using structured game knowledge to guide AI in creating novel tabletop game designs.
