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Simon Willison’s Weblog: Gemini 2.5 Pro Preview pricing
Source URL: https://simonwillison.net/2025/Apr/4/gemini-25-pro-pricing/ Source: Simon Willison’s Weblog Title: Gemini 2.5 Pro Preview pricing Feedly Summary: Gemini 2.5 Pro Preview pricing Google’s Gemini 2.5 Pro is currently the top model on LM Arena and, from my own testing, a superb model for OCR, audio transcription and long-context coding. You can now pay for it! The new…
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Simon Willison’s Weblog: A Sneaky Phish Just Grabbed my Mailchimp Mailing List
Source URL: https://simonwillison.net/2025/Apr/4/a-sneaky-phish/ Source: Simon Willison’s Weblog Title: A Sneaky Phish Just Grabbed my Mailchimp Mailing List Feedly Summary: A Sneaky Phish Just Grabbed my Mailchimp Mailing List In further evidence that phishing attacks can catch out the most sophisticated among us, security researcher (and operator of ‘;–have i been pwned?) Troy Hunt reports on…
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Simon Willison’s Weblog: A Sneaky Phish Just Grabbed my Mailchimp Mailing List
Source URL: https://simonwillison.net/2025/Apr/4/a-sneaky-phish/ Source: Simon Willison’s Weblog Title: A Sneaky Phish Just Grabbed my Mailchimp Mailing List Feedly Summary: A Sneaky Phish Just Grabbed my Mailchimp Mailing List In further evidence that phishing attacks can catch out the most sophisticated among us, security researcher (and operator of ‘;–have i been pwned?) Troy Hunt reports on…
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Simon Willison’s Weblog: smartfunc
Source URL: https://simonwillison.net/2025/Apr/3/smartfunc/ Source: Simon Willison’s Weblog Title: smartfunc Feedly Summary: smartfunc Vincent D. Warmerdam built this ingenious wrapper around my LLM Python library which lets you build LLM wrapper functions using a decorator and a docstring: from smartfunc import backend @backend(“gpt-4o") def generate_summary(text: str): """Generate a summary of the following text: """ pass summary…
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Simon Willison’s Weblog: Quoting Nolan Lawson
Source URL: https://simonwillison.net/2025/Apr/3/nolan-lawson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Nolan Lawson Feedly Summary: I started using Claude and Claude Code a bit in my regular workflow. I’ll skip the suspense and just say that the tool is way more capable than I would ever have expected. The way I can use it to interrogate a…
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Simon Willison’s Weblog: Half Stack Data Science: Programming with AI, with Simon Willison
Source URL: https://simonwillison.net/2025/Apr/1/half-stack-data-science/ Source: Simon Willison’s Weblog Title: Half Stack Data Science: Programming with AI, with Simon Willison Feedly Summary: Half Stack Data Science: Programming with AI, with Simon Willison I participated in this wide-ranging 50 minute conversation with David Asboth and Shaun McGirr. Topics we covered included applications of LLMs to data journalism, the…
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Simon Willison’s Weblog: Pydantic Evals
Source URL: https://simonwillison.net/2025/Apr/1/pydantic-evals/#atom-everything Source: Simon Willison’s Weblog Title: Pydantic Evals Feedly Summary: Pydantic Evals Brand new package from the Pydantic AI team which directly tackles what I consider to be the single hardest problem in AI engineering: building evals to determine if your LLM-based system is working correctly and getting better over time. The feature…
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Simon Willison’s Weblog: Quoting Brad Lightcap
Source URL: https://simonwillison.net/2025/Apr/1/brad-lightcap/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Brad Lightcap Feedly Summary: We’re planning to release a very capable open language model in the coming months, our first since GPT-2. […] As models improve, there is more and more demand to run them everywhere. Through conversations with startups and developers, it became clear how…
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Simon Willison’s Weblog: debug-gym
Source URL: https://simonwillison.net/2025/Mar/31/debug-gym/#atom-everything Source: Simon Willison’s Weblog Title: debug-gym Feedly Summary: debug-gym New paper and code from Microsoft Research that experiments with giving LLMs access to the Python debugger. They found that the best models could indeed improve their results by running pdb as a tool. They saw the best results overall from Claude 3.7…
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Simon Willison’s Weblog: Tracing the thoughts of a large language model
Source URL: https://simonwillison.net/2025/Mar/27/tracing-the-thoughts-of-a-large-language-model/ Source: Simon Willison’s Weblog Title: Tracing the thoughts of a large language model Feedly Summary: Tracing the thoughts of a large language model In a follow-up to the research that brought us the delightful Golden Gate Claude last year, Anthropic have published two new papers about LLM interpretability: Circuit Tracing: Revealing Computational…