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True believer in Web Components, slightly obsessive with git/git-ops, hoarder of board games.

he/him, ADHD, ASD

Profile picture by https://www.artstation.com/minemikomali.

Codeberghttps://codeberg.org/jamesgrant
GitHubhttps://github.com/jamesgrant

My #Wikipedia request for comment just closed, finally banning #AI content in articles! "The use of LLMs to generate or rewrite article content is prohibited"

Kudos to all who participated in writing the guideline (especially Kowal2701) and the whole WikiProject AI Cleanup team, this was very much a group effort!

https://en.wikipedia.org/wiki/Wikipedia:Writing_articles_with_large_language_models/RfC

Wikipedia:Writing articles with large language models/RfC - Wikipedia

Statistical significance tells you a result is real. Practical significance tells you if it is worth caring about. As UX researchers, we need both so we do not overreact to tiny effects or ignore big, noisy signals.

This is why context matters. I have this exact case at the moment. A very small sample, but 90% of my users go towards one specific direction. Those users are representing their own business lines.
https://www.nngroup.com/articles/practical-significance/

Statistical Significance Isn’t the Same as Practical Significance

Statistical significance helps establish whether a result is reliable, while practical significance helps determine whether it is worth acting on.

Nielsen Norman Group

LLM access is relatively cheap now because the LLM vendors are discounting their price at a massive loss, subsidized by VC, in order to get you addicted and to drive as much skilled human labor as possible out of the workforce permanently.

The goal is monopolization, and if they’re successful, you’ll see monopolistic pricing in the future.

RE: https://infosec.exchange/@david_chisnall/116160637051672728

the question you should be asking yourself is not “what's the best way to verify the age of every single computer user on earth”

but rather “why the fuck are we trying to verify the age of every single computer user on earth????”

and the answer to that is: fascism
stop. complying.

If an "AI" company can sell you access to software that will replace a $250k/year software engineer. They're going to charge $249k/year for it.

That's how capitalism works.

Well, they're going to charge $20k/year at first, during the land rush phase. Wait for some competitors to die off. Keep it low a while longer to kill off the incumbents. Then it'll jump up a bunch, before finally being even more expensive than the original thing.

See also: Uber & AirBnB.

If you use AI-generated code, you currently cannot claim copyright on it in the US. If you fail to disclose/disclaim exactly which parts were not written by a human, you forfeit your copyright claim on *the entire codebase*.

This means copyright notices and even licenses folks are putting on their vibe-coded GitHub repos are unenforceable. The AI-generated code, and possibly the whole project, becomes public domain.

Source: https://www.congress.gov/crs_external_products/LSB/PDF/LSB10922/LSB10922.8.pdf

Quite a phenomenal campaign ad from the Greens down in England. Strong. I firmly believe that any political party not running this same message will fail.
If I had a dollar every time a mediocre man known for his orangeness lied about Greenland for his colonial project, I'd have two dollars

"technically brilliant but bad at cooperation ritual" is such a huge red flag in the tech world

20% of my job is seeing what needs to be done. Another 20% is *doing* it.

The remaining 60% is "make it make sense to the people around me"

this fall I worked with the core Git folks on writing an official data model for Git and it just got merged! I learned a few new things from writing it. https://github.com/git/git/blob/master/Documentation/gitdatamodel.adoc