• 4 Posts
  • 18 Comments
Joined 2 years ago
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Cake day: September 1st, 2023

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  • I should probably write a blog post about it. Basically it’s there to possibly get commercial LLMs in trouble for scraping licensed stuff. LLMs have been tricked into revealing their training data and gotten in trouble for that. There are also ongoing lawsuits due to those revelations. Maybe the most notable is the one against Github’s Microsoft’s CoPilot for spitting out licensed (GPL and also copyrighted from private repos) code.

    Whether the lawsuits will be successful or not is yet to be determined (Japan already considers nearly everything fair game for training AIs and machine learning). Whether they will have an impact if they are successful is also unknown. It just costs me a key-stroke (and the occasional response to a friendly question like yours), so I do it 🤷 Once all my hope is lost, I might stop.

    From another answer. I highlighted the important part, which explains why the explicit link to the license text instead of it being implicit.

    Anti Commercial-AI license




  • I think his dude would be better er served by radicle. He can host his seed node, people can push their branches into namespaces in the bare git repositories there, they can request that those branches be merged into a branch in his namespace, they can create tickets that are all stored in the git repositories, comments on patches/merge requests/etc. are also in git, he can add trusted contributors, and so on.

    People don’t have to create an account. Just a public key pair on their machine and they are off to the races.

    I don’t know his email, but somebody could mail him and make him aware of radicle.

    Anti Commercial-AI license










  • The interview process being broken doesn’t mean the job is broken/useless. It’s shitty IMO that Columbia university wants to take “disciplinary action” for exposing useless interviewing practices. It would’ve been better to tell Roy about ethics and say “If you want to do this kind of stuff, that’s fine, but here’s the way to do it. In fact you can continue doing this at our university and make a career out of it. Let’s talk.”

    And Amazon’s reaction is also dumb (as expected). They should instead be hiring this dude to improve their interviewing practices by letting him build internal tooling to try and defeat the interviewing process. Of course they won’t do this because there is a certain prestige in getting a FAANG job. Keeping recruiting costs low but interest high with a high rejection rate is the goal for recruiting.

    I’m not quite sure there’s a winner in this triangle, except those outside it: this might force companies to change their recruitment practices. My guess is that there will be a lot of resistance first and more money will be spent on “fraud detection” than actual improvements. It will be a cat and mouse game with probably the companies losing, but at least some C-suite bastard will get rich selling the fraud detection solution 🤷

    Anti Commercial-AI license