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simonwillison.net

Firefox in WebAssembly: You can now run a browser inside a browser

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The devs at Puter Labs have compiled the Gecko engine to WebAssembly so that Firefox can be loaded inside another browser.

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DeepSeek V4—almost on the frontier, a fraction of the price

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DeepSeek V4—almost on the frontier, a fraction of the price

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DeepSeek-V4 arrives with near state-of-the-art intelligence at 1/6th the cost of Opus 4.7, GPT-5.5

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DeepSeek V4—almost on the frontier, a fraction of the price

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DeepSeek V4—almost on the frontier, a fraction of the price

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Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7

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Код обесценивается

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Vibe coding SwiftUI apps is a lot of fun

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It turns out Claude Opus 4.6 and GPT-5.4 are both very competent at SwiftUI—and a full SwiftUI app can fit in a single text file, which means I can use them to spin something up without even opening Xcode.

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Using Git with coding agents - Agentic Engineering Patterns

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Thoughts on OpenAI acquiring Astral and uv/ruff/ty

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Can coding agents relicense open source through a “clean room” implementation of code?

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Can coding agents relicense open source through a “clean room” implementation of code?

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AI should help us produce better code

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Deep Blue

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We coined a new term on the Oxide and Friends podcast last month (primary credit to Adam Leventhal) covering the sense of psychological ennui leading into existential dread that many software developers are feeling thanks to the encroachment of generative AI into their field of work.

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AI doesn’t reduce work, it intensifies it

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2025: The Year in LLMs

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How Rob Pike got spammed with an AI slop “act of kindness”

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Useful patterns for building HTML tools

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Design Patterns for Securing LLM Agents against Prompt Injections

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Simon Willison’s Weblog

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Post mostly about (ab)using AI … For example: * generates a svg of a pelican riding a bycicle using AI models * evaluate cursed vector-graphics results

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Про встраивания в ЛЛМ

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Способ научить сеть чему-то без дообучения. По сути встраивание - это такой семантический слепок контента фиксированной длины, который можно передать модели вместе с промптом. Но главное, этот слепок является вектором в многомерном пространстве, соответственно, мы можем сравнивать его с другими зашифрованными кусками данных и определять их семантическую близость даже без нейросети, стандартными алгоритмами для работы с векторами.

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