Simon Willison’s Weblog

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15 items tagged “code-interpreter”

ChatGPT Code Interpreter is a mode of ChatGPT that allows it to write and then execute Python code in a sandboxed environment. OpenAI sometimes call this feature data analysis.

2024

An example running DuckDB in ChatGPT Code Interpreter (via) I confirmed today that DuckDB can indeed be run inside ChatGPT Code Interpreter (aka "data analysis"), provided you upload the correct wheel file for it to install. The wheel file it needs is currently duckdb-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl from the PyPI releases page - I asked ChatGPT to identify its platform, and it said that it needs manylinux2014_x86_64.whl wheels.

Once the wheel in installed ChatGPT already knows enough of the DuckDB API to start performing useful operations with it - and any brand new features in 1.0 will work if you tell it how to use them.

# 17th July 2024, 9:04 pm / ai, duckdb, generative-ai, chatgpt, llms, code-interpreter

Give people something to link to so they can talk about your features and ideas

If you have a project, an idea, a product feature, or anything else that you want other people to understand and have conversations about... give them something to link to!

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AI for Data Journalism: demonstrating what we can do with this stuff right now

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I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the things we can use Large Language Models for right now, illustrated by a flurry of demos to help provide starting points for further conversations at the conference.

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Building and testing C extensions for SQLite with ChatGPT Code Interpreter

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I wrote yesterday about how I used Claude and ChatGPT Code Interpreter for simple ad-hoc side quests—in that case, for converting a shapefile to GeoJSON and merging it into a single polygon.

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Claude and ChatGPT for ad-hoc sidequests

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Here is a short, illustrative example of one of the ways in which I use Claude and ChatGPT on a daily basis.

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2023

Exploring GPTs: ChatGPT in a trench coat?

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The biggest announcement from last week’s OpenAI DevDay (and there were a LOT of announcements) was GPTs. Users of ChatGPT Plus can now create their own, custom GPT chat bots that other Plus subscribers can then talk to.

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Open questions for AI engineering

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Last week I gave the closing keynote at the AI Engineer Summit in San Francisco. I was asked by the organizers to both summarize the conference, summarize the last year of activity in the space and give the audience something to think about by posing some open questions for them to take home.

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Talking Large Language Models with Rooftop Ruby

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I’m on the latest episode of the Rooftop Ruby podcast with Collin Donnell and Joel Drapper, talking all things LLM.

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Making Large Language Models work for you

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I gave an invited keynote at WordCamp 2023 in National Harbor, Maryland on Friday.

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Catching up on the weird world of LLMs

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I gave a talk on Sunday at North Bay Python where I attempted to summarize the last few years of development in the space of LLMs—Large Language Models, the technology behind tools like ChatGPT, Google Bard and Llama 2.

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What AI can do with a toolbox... Getting started with Code Interpreter. Ethan Mollick has been doing some very creative explorations of ChatGPT Code Interpreter over the past few months, and has tied a lot of them together into this useful introductory tutorial.

# 12th July 2023, 8:57 pm / ai, openai, generative-ai, chatgpt, llms, ethan-mollick, code-interpreter

Latent Space: Code Interpreter == GPT 4.5 (via) I presented as part of this Latent Space episode over the weekend, talking about the newly released ChatGPT Code Interpreter mode with swyx, Alex Volkov, Daniel Wilson and more. swyx did a great job editing our Twitter Spaces conversation into a podcast and writing up a detailed executive summary, posted here along with the transcript. If you’re curious you can listen to the first 15 minutes to get a great high-level explanation of Code Interpreter, or stick around for the full two hours for all of the details.

Apparently our live conversation had 17,000+ listeners!

# 10th July 2023, 10:06 pm / podcasts, speaking, ai, swyx, generative-ai, chatgpt, llms, code-interpreter

ChatGPT Plugins Don’t Have PMF. Sam Altman was recently quoted (in a since unpublished blog post) noting that ChatGPT plugins have not yet demonstrated product market fit.

This matches my own usage patterns: I use the “browse” and “code interpreter” modes on a daily basis, but I’ve not found any of the third party developer plugins to stick for me yet.

I like Matt Rickard’s observation here: “Chat is not the right UX for plugins. If you know what you want to do, it’s often easier to just do a few clicks on the website. If you don’t, just a chat interface makes it hard to steer the model toward your goal.”

# 8th June 2023, 4:59 am / ai, openai, generative-ai, chatgpt, llms, code-interpreter

Weeknotes: Miscellaneous research into Rye, ChatGPT Code Interpreter and openai-to-sqlite

I gave myself some time off stressing about my core responsibilities this week after PyCon, which meant allowing myself to be distracted by some miscellaneous research projects.

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Running Python micro-benchmarks using the ChatGPT Code Interpreter alpha

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Today I wanted to understand the performance difference between two Python implementations of a mechanism to detect changes to a SQLite database schema. I rendered the difference between the two as this chart:

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