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ChatGPT Containers can now run bash, pip/npm install packages and download files

simonwillison.net

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Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#121

Post by 999900000999 »

branafter wrote: post #114
999900000999 wrote: post #95

Earlier quoted context omitted.

I'm always open to learning, are there any example projects doing this ?

The most accessible way to start experimenting would be the Ralph loop: https://github.com/anthropics/claude-code/tree/main/plugins/... You could also work backwards from this paper: https://arxiv.org/abs/2512.18470

Ok.

I'm imagining something like.

"Hi Ralph, I've already coded a function called GetWeather in JS, it returns weather data in JSON can you build a UI around it. Adjust the UI overtime"

At runtime modify the application with improvements, say all of a sudden we're getting air quality data in the JSON tool, the Ralph loop will notice, and update the application.

The Arxiv paper is cool, but I don't think I can realistically build this solo. It's more of a project for a full team.

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#122

Post by artursapek »

bopbopbop7 wrote: post #105
behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

> But now that most code is written by LLMs Got anything to back up this wild statement?

[flagged]

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#123

Post by RALaBarge »

bopbopbop7 wrote: post #105
behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

> But now that most code is written by LLMs Got anything to back up this wild statement?

Depends, what to you would qualify as evidence?

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#124

Post by condiment »

behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

100% of my LLM projects are written in Rust - and I have never personally written a single line of Rust. Compilation alone eliminates a number of 'category errors' with software - syntax, variable declaration, types, etc. It's why I've used Go for the majority of projects I've started the past ten years. But with Rust there is a second layer of guarantees that come from its design, around things like concurrency, nil pointers, data races, memory safety, and more.

The fewer category errors a language or framework introduces, the more successful LLMs will be at interacting with it. Developers enjoy freedom and many ways to solve problems, but LLMs thrive in the presence of constraints. Frontiers here will be extensions of Rust or C-compatible languages that solve whole categories of issue through tedious language features, and especially build/deploy software that yields verifiable output and eliminates choice from the LLMs.

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#125

Post by fragmede »

Imustaskforhelp wrote: post #40
yoyohello13 wrote: post #12

Earlier quoted context omitted.

> I wonder when they'll start offering virtual, persistent dev environments... A lot of companies have been wanting to move in this direction. Instead of maintaining a fleet of machines, you just get a bunch of thin clients and pay Microsoft of whoever to host the actual workloads. They already do this 'kiosk' style stuff for a lot of front-line staff. Honestly, not having my own local hardware for development sounds…

We are gonna have YOLO agents who will deploy directly to website (technically exe.dev already does that for me when I ask it to generate golang projects lol) Honestly I felt like it really bores me or (overwhelms?) me because now I feel like okay now I will do this, then that and then that & drastically expand the scope of the project but that comes with its own fatigue and the limits of free tokens or context with…

If you like juggling, how many tasks in how many epics in how many projects are you working on at the same time? It's not for everyone tho.

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#126

Post by dotancohen »

condiment wrote: post #124
behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

100% of my LLM projects are written in Rust - and I have never personally written a single line of Rust. Compilation alone eliminates a number of 'category errors' with software - syntax, variable declaration, types, etc. It's why I've used Go for the majority of projects I've started the past ten years. But with Rust there is a second layer of guarantees that come from its design, around things like concurrency, nil…

  > ... and eliminates choice from the LLMs.
Perl is right out! Maybe the LLMs could help us decipher extent Perl "write once, maintain never" code.

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#127

Post by fragmede »

blobbers wrote: post #77

Did I miss the boat on chatgpt? Is there something more to it than the web chat interface? I jumped on the Claude Code bandwagon and I dropped off chatgpt. I find the chatgpt voice interface to be infuriating; it literally talks in circles and just spews summary garbage whenever I ask it anything remotely specific.

codex ~= Claude code

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#128

Post by myhf »

bopbopbop7 wrote: post #105
behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

> But now that most code is written by LLMs Got anything to back up this wild statement?

I mean, people who use LLMs to crank out code are cranking it out by the millions of lines. Even if you have never seen it used toward a net positive result, you have to admit there is a LOT of it.

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#129

Post by bopbopbop7 »

RALaBarge wrote: post #123
bopbopbop7 wrote: post #105

Earlier quoted context omitted.

> But now that most code is written by LLMs Got anything to back up this wild statement?

Depends, what to you would qualify as evidence?

Something quantitative and not "company with insane vested interest/hype blogger said so".

Re: ChatGPT Containers can now run bash, pip/npm install packages and download files

#130

Post by koe123 »

behnamoh wrote: post #5

I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.). Esp. with Go's quick compile time, I can see myself using it more and m…

> But now that most code is written by LLMs

Am I in the Truman show? I don’t think AI has generated even 1% of the code that I run in prod, nor does anyone I respect. Heavily inspired by AI examples, heavily assisted by AI during research sure. Who are these devs that are seeing such great success vibecoding? Vibecoding in prod seems irresponsible at best

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