Nate Meyvis built a document-context-management tool that maintains named "contexts" — sets of documents — and exposes a fast API for listing contexts and adding, removing, and renaming files, plus a …
A developer argues that generative AI has made build-deploy speed far more important, shifting the AWS-Vercel tradeoff in favor of Vercel, citing Amdahl's Law. The author notes that while both stacks …
Software designer Nate Meyvis argues that AI-powered services face a new division-of-labor problem: they have more reason to perform tasks for users and more reason to offload work to users, making th…
Nate Meyvis launched TurboTree, a Web service that lets users query family history data through an API with AI assistance, after finding that LLMs excel at retrieving and tracking real-world informati…
Google released Flash 3.8, a new version of its Gemini Flash model, available in Antigravity. In an informal review, Nate Meyvis found that Flash 3.8 with low thinking was about 25% faster than Flash …
Fable 5.1, the latest model from an unnamed developer, performs better on the dissertation benchmark and feels less slow than previous versions, according to a first-impressions review by Nate Meyvis.…
Trevor McKendrick asked for favorite recent applications of AI, and Nate Meyvis shared his own, including a system that extracts facts from a corpus, generates embeddings, and clusters them to find fr…
Nate Meyvis reports combining spaced repetition, APIs, and generative AI in recent experiments, using an LLM (gpt-5.6-sol low) for handwriting recognition and grading ambiguous answers. Meyvis advocat…
Anthropic released Claude Opus 5, a new frontier model that is significantly more powerful than models from just a month ago, according to a blog post by Nate Meyvis. The post highlights that fast mod…
Nate Meyvis used Fable, a generative AI tool, to scrape and analyze transcripts of his town's school board meetings, finding that the latest AI models are now accurate and consistent enough to make ci…
Nate Meyvis argues that fallback mechanisms in generative AI tools are overrated, as reliable primary paths are more achievable than assumed and crashing or alarming is often preferable to falling bac…
Software engineer Nate Meyvis argues against the view that large language models make code a mere 'materialized view' of ideas, citing Hyrum's Law, platform differences, and performance concerns. He e…