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Comment Re:wat (Score 1) 33

Yeah this is definitely a "I'll know it when I see it" type of judgement but to be fair most of their customer base if presented with the question of "how would you feel about someone using an AI app to perfectly map your face onto a nude body and distribute them and most people will not know the difference or see it labelled as fake in any way" would have a negative reaction to that.

Well....if the resultant images made me much less fat, and a bit more ripped....I dunno...maybe?

;)

jk

Comment Re:Outsourced hate crimes (Score 1) 105

Why is it that the propaganda outlets will only show crimes on black people committed by other black people lately, and they won't report at all on the much higher amount of crimes committed on black people by white people?

Because statistics and raw numbers show that this is simply not the case, by a long shot.

Check your numbers again on black/black crime, especially violent crime.

Comment Re:They have no choice (Score 1) 122

Shortly followed by a huge increase in penalties and taxes for anybody operating one of those things in California. I know it's a dazzlingly beautiful and tempting notion but Milton Friedman was right about one thing, there is no such thing as a free lunch.

You know, at some point, when life gets tough enough in CA, taxes get just TOO high (and I'd have to think it's close now)....the people will finally wake up and vote the politicians OUT of office that are making their lives so difficult with regards to income, taxes and transportation.

It was only a few decades ago that CA was a Republican state.

It has changed back and forth over the years.

Comment Re:They have no choice (Score 1) 122

Numerous US states are going to ban new ICE sales , eg california by 2035.

I wouldn't hold my breath or put down heavy bets on that just yet.

With current trends...EV sales dropping, etc....unless the battery tech gets better quickly, and there is more infrastructure....states likely will have to extend those deadlines just out of practicality....

Of course a lot can happen in 10 years, but also, as we've seen....a lot can just NOT happen in 10 years.

Comment Re:Flash is costly? (Score 5, Informative) 37

Creating the training dataset is the *last* step. I have dozens of TB of raw data which I use to create training datasets that are only a few GB in size. Of which I'll have a large number sitting around at any point in time.

Take a translation task. I start with several hundred gigs of raw data. This inflates to a couple terabytes after I preprocess it into indexed matching pair datasets (for example, if you have an article that's published in N different languages, it becomes (N * N-1) language pairs - so, say, UN, World Bank, EU, etc multilingual document sets greatly inflate). I may have a couple different versions of this preprocessed data sitting around at any point in time. But once I have my indexed matching pair datasets, I'll weighted-sample only a relatively small subset of it - stressing higher-quality data over lower quality and trying to ensure a desired mix of languages.

But what I do is nothing compared to what these companies do. They're working with common crawl. It grows at a rate of 200-300 TB per month. But the vast majority of that isn't going to go into their dataset. It's going to be markup. Inapplicable file types. Duplicates. Junk. On and on. You have to whittle it down to the things that are actually relevant. And in your various processing stages you'll have significant duplication. Indeed, even the raw training files... I don't know about them, but I'm used to working with jsons, and that adds overhead on its own. Then during training there's various duplications created for the various processing stages - tokenization, patching with flash attention, and whatnot.

You also use a lot of disk space for your models. It's not just every version of the foundation you train (and your backups thereof) - and remember that enterprise models are hundreds of billions to trillions of FP16 parameters in their raw states - but especially the finetune. You can make a finetune in like a day or so; these can really add up.

Certainly disk space isn't as big of a cost as your GPUs and power. But it is a meaningful cost. As a hobbyist I use a RAID of 6 20TB drives and one of 2 4TB SSDs. But that's peanuts compared to what people working with common crawl and having hundreds of employees each working on their own training projects will be eating up in an enterprise environment.

Comment Putting numbers into perspective (Score 3, Interesting) 122

This is all to produce a peak of 240k EVs per year. Production "starts" in 2028. It takes years for a factory to hit full production. Let's be generous and say 2030.

Honda sold 1,3 million vehicles in the US alone last year - let alone all of North America, including both Canada and Mexico. If all those EVs were just for the US it'd be 18% of their sales, but for all of North America, significantly less.

In short, Honda thinks that in 2030 only maybe 1/7th to 1/8th of its North American sales will be EVs. This is a very pessimistic game plan.

Comment Re:Economic worship (Score 1) 247

Destroying middle class has predictable consequence of tanking birth rate. News at 11.

"We must have constant inflation or people might, you know, save!"

Inflation isn't a deterrent to savings, it just means you have to put your savings somewhere that it also does work, i.e. invested in something. Having a non-zero inflation rate encourages investment, which encourages economic growth. This is good. But it's not the main reason we need constant inflation.

The reason we need constant inflation is because deflation is extremely harmful; it causes debts to grow which can make people and businesses insolvent. The Fed has a 2% inflation target because low inflation rates are manageable and because 2% is high enough that a decrease still won't go negative.

Comment Re:Good. (Score 1) 53

Are Police reports used as evidence in criminal trials?

In general, documents are considered hearsay and are inadmissible. There are exceptions to the hearsay rule that allow them to be introduced, for example public records that are made in the normal course of business, but police reports are explicitly and specifically excluded from those exceptions. It might be possible to introduce a police report as evidence if the officer who wrote it is present to testify to its authenticity and accuracy, and to be cross-examined about its contents, but if the officer is there it's easier to avoid the hearsay question entirely by just having the officer testify.

Note that this applies not just to written police reports but also to bodycam footage. You still need someone to testify that the footage is authentic and accurate, and available to be cross-examined about it. With bodycam footage I suppose that could be either the officer or a technician responsible for collecting and archiving the footage.

In the case of an AI-generated summary of the footage, if the officer checked and edited the output I think it would be exactly the same as the officer's self-written report. If the officer didn't check and edit the output, then it would be a mechanical transformation of the bodycam footage and you'd need someone to testify to the accuracy of that transformation, as well as the authenticity of the footage. I don't think anyone could honestly testify that the transformation is guaranteed to be correct and accurate. In any case, though, the defense could always just review the footage to point out any inaccuracies in the summary. Most likely the summary would be ignored completely and the bodycam footage would be used directly, after appropriate testimony about its authenticity.

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