Learn to think fucko

Unfortunately a lot of them are NCM still. The BESS at Moss Landing which infamously went up in flames was. It used NCM batteries from LG made out of cells [poorly] designed for EVs.

PGE didn't have any clue how much most of their lines could carry until recently when they hung temperature sensors on them. You can bet there are still a lot of parts of the line which are unmonitored because PGE is a gigantic shitfest. I thought you knew stuff about power distribution, or you thought so anyway, why didn't you know this?

It's complicated. Santa Cruz county needs a BESS bad but they got a shit one made with recycled LG EV batteries and it caught fire and polluted a bunch of wetlands...

Everyone's mad at them because they are fucking monsters.

They are so tightly regulated in what they can charge today because they charged people abusively so many times.

PGE made their own bed and now they can die in it.

There's a famous quote, so famous I can't remember who said it ;) about how the coldest winter they ever spent was a summer in San Francisco.

We have an Arctic current that's colder in summer, and a deep trench right off the coast.

Learn to read dick

A reporter following a person working for a surveillance company is not in fact unusual. You lie every time you speak.

Lol reliability. Both furnaces in this house needed not just new generators but also gas valves. One of them had been replaced before.

Randomness is the problem in LLMs that leads to inconsistency of hallucination. It's being substituted for the part of the processing we do that software can't do yet. Hardware can't do it either, only wetware. The part that (inductively? Instinctively?) knows whether the output makes sense just plain doesn't exist in LLMs.

I kind of wonder if the best anti-distillation strategy is, if you detect suspicious traffic from someone (which happens a lot, they monitor for anything that looks like distillation), instead of blocking them, feed them say the output from Llama 3.1 8B or whatnot ;) Maybe finetune it a bit so it talks Claude-ish. But basically, subtly poison their dataset with hallucinations and crappy reasoning without it being immediately visibly obvious.

As for copyvio, sorry, this is something for the courts, and so far, the courts have not largely found against the trainers, and have instead found, by and large, that they're being compliant. The most notable setback against Anthropic for example was a finding that they couldn't just download books in training dataset off the internet, but that they could perfectly legally just buy surplus books for pennies on the dollar by the palletfull, scan them in, and train on that. That this is perfectly complaint with US copyright law.

I think a lot of you wish that copyright law was a lot more restrictive than it actually is. Which is a REALLY bizarre thing to see on Slashdot of all places, which back in the day was the beating heart of "Data Wants To Be Free!" philosophy.

To be clear, though... I would welcome a compromise modification to copyright law, which is, if you want to train on the public commons, you absolutely may, indeed, train on whatever you want, zero liability, but then you have to give back to the public commons. So maybe your top frontier models are closed, but you have to simultaneously release smaller distilled equivalent versions of it into the public domain (how to define "smaller distilled equivalent versions" is of course something that would require discussion), and release said frontier models to the public domain within e.g. 1 year or whatnot.

* They remain incentivized to keep pushing the frontier, since some people will always pay for the best
* They get permanently out of the worry of any copyvio liability (beyond basic requirements about not verbatim reproducing copyrighted materials in outputs)
* The public gets a constant stream of ever-better models, at no cost.

Sounds like a balance to me.

It doesnt think

Yeah, it does.

it doesnt rationalize

Yeah, it does.

These are not Markov chains. They're neural nets. They work via extremely complex chained fuzzy logic on superpositions of conceptual states.

And the less slop it has to deal with

This is literally a thread about distillation, aka, training on the outputs of other models. Synthetic data is the cornerstone of modern training. "Model collapse" is not something that actually happens in the real world, only in contrived settings, the model equivalent of if you could lock a person alone in a dark room with only their thoughts for ten thousand years.

Cowards who only have whataboutism are my primary detractors, which is how I know I'm right. Thanks, coward.

The question at hand is whether the terms of service should even be allowed to contain those clauses. If you're paying for access to the model, it should be your business what you use the output for. If they don't want you using the data you got out of it, they can not sell you access to it in the first place.

Anyone mad about this should note that $50,000 per year is what In-n-Out Burger pays a FT employee in California, and then they should fuck off to the farthest possible point to fuck off to, and then fuck off some more.