> output from LLMs, once published, is essentially in the Public Domain, since there isn't any human who owns it

That’s not what the court case in question was about: https://www.morganlewis.com/pubs/2026/03/us-supreme-court-de...

If I ask an LLM to come up with an entirely new story on its own, the output is not copyrightable.

But if I feed an LLM a Tom Clancy novel and ask it to regurgitate that same novel, I cannot legally then put the output on a website for anyone to download.

For select tasks the latest LLMs can speed things up by an order of magnitude.

Best example I’ve found: translating code from one language to another where there’s a large corpus of existing acceptance tests.

Again, no silver bullet. You will have to know what tasks it's capable of and how to elicit that solution. The bottleneck was never code the bottleneck still is solving the right problem in the right way.

Not sure if Spotify got that same memo.

> Banning people is way easier on small servers

Big “citation needed” here. My bet is that Meta have far better moderation systems than any other social media company on the planet.

when i ran a fediverse server for myself and 3 people, but allowed public signups if someone came by; it was very easy to ban people, and very easy to null-route entire swaths of the fediverse, because i didn't want their content on my service.

That's more what i got from that pull-quote. I know a company that has hundreds of individual forums, and those are all moderated quickly and correctly (last i heard). They're moderated so effectively they often get DDoS by Russian IPs for banning users for scam posts from that country.

Most of these vulnerabilities could have been discovered much earlier had the same security researchers pointed a SAST tool at the codebase.

I wrote an OSS PHP SAST tool 6 years ago, but it's suffered from industry neglect — most people only care about security after an incident, and PHP has enough magical behaviour that any tool needs to be tuned to how specific repositories behave.

I agree there's a big opportunity for LLMs to take this work forward, filling in for a lack of human expertise.

Where can I learn more about SAST, and do you have a link to your tool?

I stood up a Dokuwiki instance recently and had Qwen look through the codebase, and it didn't find anything critical. It identified "fragile patterns", though.

It's Psalm — see the section on security analysis here: https://psalm.dev/docs/security_analysis/

The author is deeply AI-pilled — to the point the whole article is written with AI. Slop begets slop.

A similar cohort are discovering, in myriad painful ways, that advances in agentic coding — the focus of a lot of pre and post training — does not translate into other domains.

All gossip I hear about the extremely powerful leads me to believe that they’d be utterly unable to organise any sort of conspiracy themselves.

Most haven’t touched Google Calendar in a decade. They can’t call anyone without their assistant typing in the number first.

This might have more to do with their average age than anything though

Sure, but it's sort of dumb for me to bring an idea I value to the table until I have answers to all the obvious questions.

I owe it to my colleagues to not make them the bad guys by shooting down an idea.

Really depends on the context I think, brainstorming session? Naysaying does have a habbit of stunting an idea's growth in the session. Sometimes you need to imagine you've solved a bunch of hard problems before you can explore the value the idea has.

I say this as a semi-reformed naysayer. I am critical of implementation plans, but let ideas breath a bit in a more exploratory setting before I start bringing up constraints.

Their worth is tied to what people are prepared to pay for them. And right now most people aren’t prepared to pay for Teslas.

No, he's saying this specific moral objection is to be pitied.

When I say "I feel bad for people who feel a need to own guns", I'm not saying I feel bad for people who feel a need to lock their doors at night.