Flux
Toutes les sources

Simon Willison's Weblog

535 articles Flux RSS
IA Programmation
Quoting Dario Amodei
IA Programmation

Quoting Dario Amodei

I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks. I think it is fundamentally a crisis of trust. I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over. The causes of this go back decades and AI is just the latest iteration of it. I don’t think that a glitzy…

Simon Willison's Weblog
CORS Chat
IA Programmation

CORS Chat

Tool: CORS Chat I built this today (with GPT-5.6-Sol xhigh) to help test Qwen 3.8 27B running in LM Studio on both my M5 MacBook Pro and an NVIDIA DGX Spark. It provides a web UI for exercising an OpenAI-Responses-compatible chat endpoint. I've tried it against LM Studio with the --cors option and OpenRouter, and both work fine. Conversations are persisted in the browser and can be exported as copy-pasted JSON. One fun detail is that it notices SVG images that are being generated and…

Simon Willison's Weblog
Northern Gannet
IA Programmation

Northern Gannet

Northern Gannet, in Pillar Point Harbor, CA, USThis is Morris. Morris is a local celebrity: the only known Northern Gannet (Morus bassanus) in the entire Pacific Ocean. He showed up in the Farallon Islands off the coast of San Francisco 14 years ago. He has since made Pillar Point harbor his home, where he's quite easy to spot: the only white bird with a yellow head, usually hanging out with the smaller black Brandt’s cormorants near the harbor sign visible from the end of the commercial pier.…

Simon Willison's Weblog
Don't classify. Hallucinate!
IA Programmation

Don't classify. Hallucinate!

Don't classify. Hallucinate! I still have quite a bit of older content on my blog that I never got round to tagging. My blog has 1,856 tags - likely too many to feed to an LLM in one go and say "which of these tags match the following content". Doug Turnbull has a neat solution. Tell the model to output tags without any details of the existing vocabulary, then use vector embeddings against the existing corpus to find the concrete tags that are closest to the ones the model imagined might…

Simon Willison's Weblog
sqlite-utils 4.2.1
IA Programmation

sqlite-utils 4.2.1

Release: sqlite-utils 4.2.1 Fixes a crashing bug in sqlite-utils 4.2. I'd introduced code that looks like this: from typing_extensions import Self It turned out the typing-extensions package was not listed as a dependency for sqlite-utils - it was installed by one of the other dependencies in the dev dependency group, but when you uvx sqlite-utils directly you don't get those dependencies. As part of fixing this I figured out how to run a smoke test to ensure the CLI tool still works even…

Simon Willison's Weblog
sqlite-utils 4.2
IA Programmation

sqlite-utils 4.2

Release: sqlite-utils 4.2 Lots of improvements in this one relating to the table.transform() feature, which adds support for complex alter table operations by creating a fresh table, copying across the data and then dropping and replacing the old one. transform() now preserves a much larger array of edge-case schema definitions, including check constraints, unique constraints and even comments describing the columns. There are also new introspection properties for check constraints, and a whole…

Simon Willison's Weblog
llm-gemini 0.33
IA Programmation

llm-gemini 0.33

Release: llm-gemini 0.33 It's been a while since the last llm-gemini release. This version of the plugin adds support for today's Gemini 3.7 Flash release, plus gemini-3.6-flash, gemini-3.5-flash-lite and two embedding models gemini-embedding-2 and gemini-embedding-001. The plugin is also upgraded for compatibility with LLM 0.32, which means you can now see reasoning traces and you can also enable server-side tools using this pattern: llm -m gemini-3.7-flash -T CodeExecution \ 'use python to…

Simon Willison's Weblog
DeepSeek V4 Pro 0813 (on OpenRouter)
IA Programmation

DeepSeek V4 Pro 0813 (on OpenRouter)

DeepSeek V4 Pro 0813 (on OpenRouter) The latest DeepSeek Pro model is now available, via API only. I had to link to OpenRouter because DeepSeek don't have any obvious announcement page for their new model. I haven't been able to confirm if they plan to release the open weights, but given the weights are available for both April's deepseek-ai/DeepSeek-V4-Pro and July's deepseek-ai/DeepSeek-V4-Flash-0731 it seems likely. Interestingly I got very different looking pelicans for the three different…

Simon Willison's Weblog
alchemy-utils 0.1a0
IA Programmation

alchemy-utils 0.1a0

Release: alchemy-utils 0.1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like. This morning (literally a shower project) I tasked Codex and GPT-5.6 Sol Ultra with building a prototype: Do a research spike to see what it would take to build a library with the same core API as SQLite-utils - in particular the insert and upsert and insert_all and upsert_all and create and update methods, and the table introspection stuff - but…

Simon Willison's Weblog
Quoting Florian Herrengt
IA Programmation

Quoting Florian Herrengt

But then users start to report a weird bug. It's the 4th time your team has been trying to fix it. I mean... asking AI to fix it. Unfortunately, it seems like not even Fable can figure it out. You go talk to the person who worked on this feature. "So where does the data come from?" "Hmm... actually I don't know. Let me ask Claude." You sit next to each other watching an endless wall of text appear on the screen. Neither of you has any idea whether any of it is true but Claude seems very…

Simon Willison's Weblog
There are no lossless transformations of natural-language text
IA Programmation

There are no lossless transformations of natural-language text

There are no lossless transformations of natural-language text Sophie Alpert shares her "internal policy on acceptable use of AI writing by engineers". It's a short read (supporting its own recommendations) and really good. If you chose to have LLMs help massage your writing the following rule seems crucial to me: You must stand behind every idea and every sentence in your docs. It is your responsibility to make sure that the entire document is representative of your own thoughts before you…

Simon Willison's Weblog
There are no lossless transformations of natural-language text
IA Programmation

There are no lossless transformations of natural-language text

There are no lossless transformations of natural-language text Sophie Alpert shares her "internal policy on acceptable use of AI writing by engineers". It's a short read (supporting its own recommendations) and really good. If you chose to have LLMs help massage your writing the following rule seems crucial to me: You must stand behind every idea and every sentence in your docs. It is your responsibility to make sure that the entire document is representative of your own thoughts before you…

Simon Willison's Weblog
Stealing Reasoning Traces from Proprietary LLM APIs
IA Programmation

Stealing Reasoning Traces from Proprietary LLM APIs

Stealing Reasoning Traces from Proprietary LLM APIs A vanity domain name (stolen-thoughts.com) for a neat paper: Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. We take a trace produced by a frontier model, replay it into a weaker sibling, jailbreak the weaker model, and recover the stronger model’s hidden reasoning in plaintext You can see an example of these encrypted blocks by running: curl…

Simon Willison's Weblog
Stealing Reasoning Traces from Proprietary LLM APIs
IA Programmation

Stealing Reasoning Traces from Proprietary LLM APIs

Stealing Reasoning Traces from Proprietary LLM APIs A vanity domain name (stolen-thoughts.com) for a neat paper: Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. We take a trace produced by a frontier model, replay it into a weaker sibling, jailbreak the weaker model, and recover the stronger model’s hidden reasoning in plaintext You can see an example of these encrypted blocks by running: curl…

Simon Willison's Weblog