Great conversation! Code Interpreter is really exciting. I'm still able to get OS command execution via `subprocess` or other libraries very easily. Also, it seems that after a few successful command executions, it will execute commands from natural language - no need to pass "Please run import subprocess; subprocess.call()". With a prompt like "How many users are on the system?", the code interpreter will pick the shell command itself and run it through subprocess. Very interesting stuff.

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Jul 12Liked by swyx

The intro to this essay is not just a summary of the Twitter Spaces session (which was quite good btw). It is an argument that Code Interpreter is a fundamental leap forward, not unlike the leap forwards we’ve seen from foundational model releases. Well reasoned, and A+ on the footnotes / links.

My only add is that Plug-ins and Code Interpreter have proven, somewhat paradoxically, to be opposites.

ChatGPT Plug-ins released with major hype and fanfare but never quite found PMF, while Code Interpreter had a super quiet release and yet seems to have achieved PMF within 6 hours of people using it.

Is the market signaling something here?

Perhaps Plug-ins was merely a feature while Code Interpreter, as your essay says, is a breakthrough.

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This Substack is a great resource to keep up-to-date without wasting hours on Twitter/hacker news/etc.

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Great information! I have a question: When using Code Interpreter to analyze probability and statistics data, can the final result allow Code Interpreter to directly generate a self-operating software for us (that is, implement the program: write the code for the data analysis program, including any necessary user interface and input/output mechanism, which we can then download to our PC for easy use.)? Thanks!

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