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> - weird copyright / IP questions all around. This will be a minefield. Yeah, we're in weird territory because you can drive an LLM as a Bitcoin mixer over in

> - weird copyright / IP questions all around. This will be a minefield. Yeah, we're in weird territory because you can drive an LLM as a Bitcoin mixer over intellectual property. That's the entire point/meaning behind https://ghuntley.com/z80 https://ghuntley.com/z80. You can take something that exists, distill it back to specs, and then you've got your own IP. Throw away the tainted IP, and then just run Ralph over a loop. You are able to clone things (not 100%, but it's better than hiring humans).

rasz 1y ago
>and then you've got your own IP. except you dont
heavyset_go 1y ago
> then you've got your own IP. AI output isn't copyrighted in the US.
- miohtama 1y ago
  He is referring to taking AI output and making it your company's property.
  - AlexandrB 1y ago
    If AI output can't be copyrighted it can't be your company's property, just the company's secret. And you can't sue anyone who uses the secret if it gets out.
sitkack 1y ago
repoMirror is the wrong name, aiCodeLaundering would be more accurate. This is bulk machine translation from one language to another, but in this case, it is code.
whs 1y ago
I wrote an MCP based on that technique - https://github.com/whs/mcp-chinesewall https://github.com/whs/mcp-chinesewall Basically to avoid the ambiguity of training LLM from unlicensed code, I use it to generate description of the code to another LLM trained from permissively licensed code. (There aren't any usable public domain models I've found) I use it in real world and it seems that the codegen model work 10-20% of the time (the description is not detailed enough - which is good for "clean room" but a base model couldn't follow that). All models can review the code, retry and write its own implementation based on the codegen result though.
- ghuntley 1y ago
  Nice. Any chance you could put in some attributions and credits in your paper? https://orcid.org/0009-0007-3955-9994 https://orcid.org/0009-0007-3955-9994
  - whs 1y ago
    I never read your work though (and still haven't since it's paywalled), I just discovered today that we independently discovered the same thing.

rasz 1y ago

>and then you've got your own IP. except you dont

heavyset_go 1y ago

> then you've got your own IP. AI output isn't copyrighted in the US.

miohtama 1y ago
He is referring to taking AI output and making it your company's property.
- AlexandrB 1y ago
  If AI output can't be copyrighted it can't be your company's property, just the company's secret. And you can't sue anyone who uses the secret if it gets out.

sitkack 1y ago

repoMirror is the wrong name, aiCodeLaundering would be more accurate. This is bulk machine translation from one language to another, but in this case, it is code.

whs 1y ago

I wrote an MCP based on that technique - https://github.com/whs/mcp-chinesewall https://github.com/whs/mcp-chinesewall Basically to avoid the ambiguity of training LLM from unlicensed code, I use it to generate description of the code to another LLM trained from permissively licensed code. (There aren't any usable public domain models I've found) I use it in real world and it seems that the codegen model work 10-20% of the time (the description is not detailed enough - which is good for "clean room" but a base model couldn't follow that). All models can review the code, retry and write its own implementation based on the codegen result though.

ghuntley 1y ago
Nice. Any chance you could put in some attributions and credits in your paper? https://orcid.org/0009-0007-3955-9994 https://orcid.org/0009-0007-3955-9994
- whs 1y ago
  I never read your work though (and still haven't since it's paywalled), I just discovered today that we independently discovered the same thing.