Retirement accounts already own funds and those in turn are often tied to the underlying index. If the time to being included in an index is reduced, they end up being automatically bought sooner. And that keeps their price from collapsing artificially.

Some of us also care about craft and code quality instead

There's a big gap though between bug free, performance, etc and craft

Can I be both? When I wish I can take great pride in the craft of a particular piece of code.

But also I know when to put up and make the damn thing work.

Not just review but how you worked with the AI.

If you gave it four words and waited and hour maybe you're not the author. But that's not how these tools are best used anyway.

How?

Because OpenAI built their entire business around shamelessly scraping anything that had bits on it.

Maybe. But scraping isn't abuse. Seems a bit different?

Quoting the OP

> These checks are part of how we protect our first-party products from abuse like bots, scraping, fraud, and other attempts to misuse the platform.

That implies that OpenAI (or at least this employee) considers scraping abuse.

Given that the scraping doesn't do any rate limiting and pisses on robots.txt, yes it is abuse

Is there any evidence OpenAI has been ignoring robots.txt for scraping purposes? AFAIK the main sources of that traffic are still unknown.

The top comment categorized scraping as abuse ("abuse such as [...] scraping") - that's precisely why some accuse its author of lack of self awareness.

GitHub only :(

"only applies for unregistered developers" but remember the whole point is to allow Google to pull your "registered developer" status on a whim. Something they've shown over and over again they cannot be trusted with

But if there's a court order saying Epic and F-Droid have to be registered developers, they can go to jail for doing that.

Sure. But there isn't.

Until you put up your solar and then power is almost free...

The amortised cost including the panels and labour is nowhere near "almost free".

It is over a couple of years

Even if you live somewhere where it does, that is not remotely "almost free", and lots of places the payback period is more in the range of 10-15 years even with subsidies.

Since the article is largely about open weights models, I think the argument is that this is the "last gasp" and soon doing inference at home will be common.

The small models that I can run at home are becoming more capable, and I have replaced some API-based tasks with local inference as they improve, but large open weights models are still a lot stronger. The nice thing with larger open weights models is that competing providers serve them at modest margins and prices. I don't have the hardware to run the largest Qwen models, but I can get API access at low cost. Since there are only modest barriers to new commercial inference providers for these models I'm not worried that API access to them will become drastically more expensive at some future time.

The trend over the last decades was towards more centralization and I don't see that changing. Unless we radically change our economic system, the rent seekers will always win. There will be probably less of them but they will be even bigger.

Running on what devices (and additionally, purchased with what money)?