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Today I used GPT-4 to make "Wolverine" - it gives your python scripts regenerative healing abilities! Run your scripts with it and when they crash, GPT-4 edits them and explains what went wrong. Even if you have many bugs it'll repeatedly rerun until everything is fixed

Scott Swingle

10,244 subscribers

1,748,212 次观看 • 3 年前 •via X (Twitter)

Anya Rossi• Live Now

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10 条评论

BioBootloader 的头像

BioBootloader3 年前

Imagine running your tests through this to automatically fix any that you broke

BioBootloader 的头像

BioBootloader3 年前

The code is now available on Github!

Taranjeet 的头像

Taranjeet3 年前

Thanks for finding this. Added this to awesome gpt4 GitHub repo

BioBootloader 的头像

BioBootloader3 年前

Here’s the GitHub repo:

1/35 tokens left 的头像

1/35 tokens left3 年前

Pythonic Wolverine

BioBootloader 的头像

BioBootloader3 年前

I love it

BioBootloader 的头像

BioBootloader3 年前

I've now created a much more powerful tool, Mentat:

Chris Lengerich /dd 的头像

Chris Lengerich /dd3 年前

How to support? Coffee $ link?

BioBootloader 的头像

BioBootloader3 年前

Wow! I’ll add one when I put it on GitHub

0xempires 的头像

0xempires3 年前

@bayeslord This reminds me of Jaron Lanier’s idea of “phenotropic computing” he described in the early 2000s about surfaces (interfaces/APIs) learning to communicate with each other. At the time it seemed like a crackpot idea. Now it seems well within reach.

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I built a natural language CLI. It generates Python scripts to answer your question, then auto-executes them in the cwd. You will not believe how capable this simple pattern is. Rawdogging gpt-4 from the command line. Rawdog. 1/

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431,535 次观看 • 2 年前

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Vaibhav (VB) Srivastav

18,803 次观看 • 11 个月前

Open-source LLMs are getting really good. They’re not as powerful as GPT-4, but they’re improving quickly and worth experimenting with. If you want to run AI models like Mistral-7B on your laptop this is the easiest way to do it.

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188,387 次观看 • 4 个月前

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47,641 次观看 • 2 年前

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38,373 次观看 • 2 年前

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153,571 次观看 • 13 天前

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