The article misrepresents this.

They use 5 Categories from very unlikely AI generated to very likely.

26% refers to the AI generated part of their validation set being labeled as very likely AI generated.

At 26%. flipping a coin for a "yes-no" decision is a better predictor.

It'll never be 100%, because the whole point of ChatGPT is to write like a human.

Likewise, anything less than 100% means it cannot be used to validate academic integrity.

There are four buckets (of unequal size) but I don't know if success was measured by landing within the "correct" bucket or being within the highest p(AI-gen) bucket as TP, or both extreme top and bottom buckets. I only read the journalistic article and not the original research, so idk. 1000 character minimum worries me more, there's quite a lot of text smaller than that (like this comment).

> 26% success rate

If all it's doing is saying yes this is AI generated or no it's not, this is considerably worse than chance.

Then train a better detector to defeat the new model, a cycle of improving technology that we rely on to distinguish between humans and AIs. How the Turing tables

No.

-Written by ChatGPT, Maybe.

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They can use their detector to train a better model that is able to defeat the detector. They are also likely doing this so that they can try to minimize the amount of AI content in future training datasets.

I'd be impressed if it was able to do this with one word answers or if it were still able to detect it if the text was rephrased in ones own words.

1000 character minimum and 26% success rate, but it's good that they're working on it

Good call by Sam Altman.... Even better execution in bringing it to the market so fast

Liberty is meaningless where the right to utter one's thought and opinions has ceased to exist

Tons of US companies are still hiring, albeit, mediocre companies. The average US companies still pays more than the German, I’d imagine

Is that really the worst part? These people make ridiculous amounts of money. If I were a major shareholder in Google, I wouldn't want to pay all that extra.

Not gonna lie, from outside the industry, unemployed tech workers sound like spoiled children to me. And when they start referring to themselves as "the workers," it legitimately makes me angry.

These are the people gobbling up homes across the country for 2x what the locals can afford. Their salaries are going down? GOOD! Let them go down A LOT FURTHER.

I've never seen a good justification for why FAANG salaries are so high other than "supply and demand," so now that they're falling and people are getting laid off? "Supply and demand."

Rightnow Yes the scramble for hiring devs is still high and other industries are trying to snag the devs as fast as they can.

I got laid off at the end of last year and a lot of recruiters I talked to since said that they had more then enough demands to swallow the whole force that got laid off

Try /r/iphonehelp

And this is how legacy code is created people

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Yep, even this year when I've been on hold to some large corporations they still blame long wait times on covid-19.

I mean who knows what the future holds…

But why isn’t Russia a technological powerhouse…

Germany, Japan, Korea… these are not authoritarian countries, with nightmarish political systems. They ain’t perfect, but they ain’t totalitarian hellscapes either.

Just because things are going well somewhere, doesn’t mean the trajectory holds.

Iran was a beacon of progress in the East, now look at it… Brazil was poised to become a powerhouse but things fell apart.

No doubt Chinese industry has come a long way, turbo boosted by Western companies wanting a piece of the action but as the country becomes more insular, more extreme… let’s see how things go.

China’s rise was not Xi’s doing. He’s just the rich kid inheriting his Daddy’s fortune.

Yeah, but this is different, trust us, it’s going to be at least a $5B company! /s

No, it’s a static model, or mostly.

I think the major problem with E3 for the majors became having to have something to show when they weren’t ready for it. As AAA games go from taking a couple years to develop to more than 5 years for many they would end up showing video that was just as likely to never make it into the game as it would. With all 3 of the majors now doing directs they can wait to announce something until they have a better idea of when it will actually launch and what will be in it. And let’s face it, they still miss launch dates as often as make them.

> Where does “better training data” come from? These bots are using data from the open web.

The raw data is from there, among other things, but there is more to it. It was trained using supervised learning and reinforced learning.