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z3c0

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I'm a data gatherer by trade. I also enjoy civic hacking, photography, and creating music.

https://21337.tech

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I'm struggling to imagine aliens resurrecting a data center and countless hackneyed python packages so they can spew a language they don't even know. Not that it wouldn't be useful to their linguists, of course, but still a very optimistic analogy for LLMs.

98% Isn't Much 15 days ago

When measuring and reporting models to the non-saavy, I usually reframe them into odds. One failure for every 49 successes is a scary failure rate when operating at a large scale.

This is largely why I don't condone LLMs in operational pipelines. Your workflow? Fine. The company's? Hell no.

Artificial intelligence, by expanding firms' computational capabilities, is pushing markets from the competitive regime toward the collusive regime, explaining the empirical emergence of algorithmic collusion without explicit coordination.

Wow... this is quite fascinating. It has been theorized for a little while that widespread AI could form accidental trusts due to optimization around one-another. This seems to be taking it a step further and arguing that if P!=NP, then markets are certain to trend towards collusive.

Heaven help me, though, should I misuse a corporation's copyrighted works, even purely personally.

This imbalance is the issue. The photographer attempted to use a fraudulent system designed for the wealthy. Hopefully the loss disillusions those among us hoping for scraps. As an amateur photographer, post all you want, and expect nothing in return. If you shoot digital, keep your raw files to harvest lower-fidelty, online-ready formats. If you shoot film, you have both the scans and the negatives.

So "Play Protect" is doing all the damage to the third-party ecosystem that it'd seemed designed for.

I've slowly but surely been moving away from any service provider of any type who does not allow me to use their service without their often Play Services-dependent app. Changing vehicles would be a lot harder though.

It's a retrospective analysis of an assertion made by NYTimes. The original headline wasn't clickbait, just presumptive, and even so, it's a pretty significant publication that spends a lot of time on the HN front page (alongside you, I'll add). I think it's perfectly fair, and nowhere close to a strawman, to deconstruct that claim a year later.

They are a self-described 10x coder who moves AI slop, so almost certainly the latter.

I think we might be facing a cultural reckoning on what being "productive" actually means. Creating more products doesn't mean more production.

Interestingly (and anecdotally), as a 10-year+ experienced college dropout, I still see challenges getting hired for jobs that list degrees as a requirement. The only time I get a call back on "front door" applications is with the fateful addendum of "OR relevant work experience". (I wonder if agents and their lack of human discretion is amplifying this.) The article's assertion that a college degree still offers an edge beyond entry level still seems very much true.

The conundrum of "equality of outcome" vs "equality of opportunity" hinges on that core question. It's weird, and possible contradictory, to see a policy claiming to attempt both.

Most would define a "fair" opportunity as everyone getting the same chances to succeed, but a "fair" outcome would segment on merit. If angling towards fair outcomes, there's usually less uproar over lifting the floor (e.g financial aid), versus lowering the ceiling (e.g. limitations on admissions based on ethnic or financial background).