So Bonesaw meets Chainsaw, and let me tell you what happens…

So it Latke going to fund the resources needed to validate whether AI will work or not?

explicitly built into systems like CDNs, git, and blockchain

Git only duplicates blobs; textual content is generally stored as deltas (look at git_repack for more details). And it’s bad practice to version-control blobs: the more correct approach is to control the source from which the blob is generated.

CDNs don’t all work alike so it’s impossible to generalize. I won’t comment on blockchain, since in my work as a developer and architect, I’ve never encountered a valid use case for it.

then MD5 checks will catch them

That can be trivially defeated.

That would be fine provided that it’s done correctly and civilized.

Tone-policing is never a good look. If you’re opposed to something, just admit it.

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IBM.

Is it coal-powered?

It’d be nice to see some evidence of this increasingly productive AI. So far, it all looks like hype, except enshittifying customer contact centers by making it even more difficult to reach a human being.

Yeah, yeah, omelettes…eggs… heard it all before.

How many others are like this??

Far too many: more than zero.

It’s easier to up-sell and cross-sell if you’re talking to an AI.

I work in an environment where we’re dealing with high volumes of data, but not like a few meg each for millions of users. More like a few hundred TB fed into multiple pipelines for different kinds of analysis and reduction.

There’s a shit-ton of prior art for how to scale up relatively simple web apps to support mass adoption. But there’s next to nothing about how do to what we do, because hardly anyone does. So look ma, no training set!

If it walks and quacks like a speculative bubble…

I’m working in an organization that has been exploring LLMs for quite a while now, and at least on the surface, it looks like we might have some use cases where AI could prove useful. But so far, in terms of concrete results, we’ve gotten bupkis.

And most firms I’ve encountered don’t even have potential uses, they’re just doing buzzword engineering. I’d say it’s more like the “put blockchain into everything” fad than like outsourcing, which was a bad idea for entirely different reasons.

I’m not saying AI will never have uses. But as it’s currently implemented, I’ve seen no use of it that makes a compelling business case.

Now your smart fridge can propose unpalatable recipes. Woo fucking hoo.

Also Epstein got a lot of cover from non-criminal association with some rich and powerful people. Not everyone who rode on his plane was a nonce.

On the other hand, Trump was very closely associated with Epstein for an extended period. That’s not the same as someone glitzing up Epstein’s guest list in support of a charity fundraiser.

Leak the subscribers’ details.

They are.

Their input sides are based on crawling, just as search is.

the numbers Trump posted are questionable at best

I’m less diplomatic: the numbers that Trump posted are flagrant bullshit.

Very possible that we’ve got an AI that’s built up a backlog of Harvard Business Studies and CalTech economics models to reach the ideal hypothetical tariff regime.

Possible but vastly improbable. And since when has CalTech been into econometric modeling? Last time I checked, they only did engineering and real science.

Yes, it really is that stupid.