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Tag: Python code

  • Simon Willison’s Weblog: Watching o3 guess a photo’s location is surreal, dystopian and wildly entertaining

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/26/o3-photo-locations/ Source: Simon Willison’s Weblog Title: Watching o3 guess a photo’s location is surreal, dystopian and wildly entertaining Feedly Summary: Watching OpenAI’s new o3 model guess where a photo was taken is one of those moments where decades of science fiction suddenly come to life. It’s a cross between the Enhance Button and…

  • Cloud Blog: Accelerate your data-to-insights journey with enhanced BigQuery data canvas

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/exploring-new-bigquery-data-canvas-ai-assistant-features/ Source: Cloud Blog Title: Accelerate your data-to-insights journey with enhanced BigQuery data canvas Feedly Summary: In today’s data-driven world, the ability to extract meaningful insights quickly is paramount. Yet, for many, the journey from raw data to actionable intelligence is fraught with challenges. Complex SQL queries, time-consuming iterative analyses, and the gap…

  • Simon Willison’s Weblog: llm-fragment-symbex

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/23/llm-fragment-symbex/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragment-symbex Feedly Summary: llm-fragment-symbex I released a new LLM fragment loader plugin that builds on top of my Symbex project. Symbex is a CLI tool I wrote that can run against a folder full of Python code and output functions, classes, methods or just their docstrings and…

  • Cloud Blog: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-coderabbit-built-its-ai-code-review-agent-with-google-cloud-run/ Source: Cloud Blog Title: 50% faster merge and 50% fewer bugs: How CodeRabbit built its AI code review agent with Google Cloud Run Feedly Summary: CodeRabbit, a rapidly growing AI code review tool, is leveraging Google Cloud Run to cut code review time and bugs in half by safely and efficiently executing…

  • Simon Willison’s Weblog: MCP Run Python

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/18/mcp-run-python/ Source: Simon Willison’s Weblog Title: MCP Run Python Feedly Summary: MCP Run Python Pydantic AI’s MCP server for running LLM-generated Python code in a sandbox. They ended up using a trick I explored two years ago: using a Deno process to run Pyodide in a WebAssembly sandbox. Here’s a bit of a…

  • Slashdot: OpenAI Unveils o3 and o4-mini Models

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/04/16/1925253/openai-unveils-o3-and-o4-mini-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI Unveils o3 and o4-mini Models Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s release of the o3 and o4-mini AI models marks a crucial development in AI’s capability to process and analyze images, expanding the scope of their applications. These models can utilize various tools, enhancing their…

  • Simon Willison’s Weblog: llm-fragments-go

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Apr/10/llm-fragments-go/#atom-everything Source: Simon Willison’s Weblog Title: llm-fragments-go Feedly Summary: llm-fragments-go Filippo Valsorda released the first plugin by someone other than me that uses LLM’s new register_fragment_loaders() plugin hook I announced the other day. Install with llm install llm-fragments-go and then: You can feed the docs of a Go package into LLM using the…

  • Cloud Blog: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/how-gke-powers-ai-innovation/ Source: Cloud Blog Title: Kubernetes, your AI superpower: How Google Kubernetes Engine powers AI innovation Feedly Summary: The age of AI is now. In fact, the global AI infrastructure market is on track to increase to more than $200 billion by 2028.  However, working with massive data, intricate models, and relentless iterations…

  • Simon Willison’s Weblog: Pydantic Evals

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    Kurt Seifried
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    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…

  • Simon Willison’s Weblog: debug-gym

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    Kurt Seifried
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    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…