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OpenAI says its new model GPT-2 is too dangerous to release (2019)

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Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#51

Someone needs to make a compilation of all these classic OpenAI moments. Including hits like GPT-2 too dangerous, the 64x64 image model DALL-E too scary, "push the veil of ignorance back", AGI achieved internally, Q*/strawberry is able to solve math and is making OpenAI researchers panic, etc. etc. I use Codex btw, and I really love it. But some of these companies have been so overhyping the capabilities of these mod…

> I am now just going to go through the (single file) of code and just fix it myself.

You can't it's all vibed, you'll face the art vs build internal struggle and end up re-coding the entire thing by hand.

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#52

Their concerns weren't completely off base, I think they just over estimated how much it would really matter in the grand scheme.

We got extremely, extremely lucky that society is as resilient as it's proven to be against fake news. I don't think very many people predicted that it simply wouldn't matter when photorealistic compromising images of whoever you don't like became available for $5.

> I don't think very many people predicted that it simply wouldn't matter when photorealistic compromising images of whoever you don't like

This goes hand-in-hand with the widespread death of belief in absolute truth in the US and other western nations.

If this technology were released during the height of the Monica Lewinsky scandal, I'd wager it would have had the impact most of us expected it to have, at least for a little while.

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#53
An important distinction that might not be understood from scanning the headline is that "too dangerous to release" is more specifically stated as "too dangerous to open-source the full model weights", which they ended up doing anyway.

Not equivalent to Anthropic Mythos.

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#54

Someone needs to make a compilation of all these classic OpenAI moments. Including hits like GPT-2 too dangerous, the 64x64 image model DALL-E too scary, "push the veil of ignorance back", AGI achieved internally, Q*/strawberry is able to solve math and is making OpenAI researchers panic, etc. etc. I use Codex btw, and I really love it. But some of these companies have been so overhyping the capabilities of these mod…

yeah they all suck at ui. have you given it a feedback loop? update code, screenshot, read image repeat etc. that's the best i've found as long as tokens aren't a concern

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#55

The current "too dangerous" hype today is Anthropic's Mythos. They say it is so mighty that they will wall it off and only grant access to approved corporations.

Ah yes, corporations, famously the right hands to wield mighty weapons.

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#56

Someone needs to make a compilation of all these classic OpenAI moments. Including hits like GPT-2 too dangerous, the 64x64 image model DALL-E too scary, "push the veil of ignorance back", AGI achieved internally, Q*/strawberry is able to solve math and is making OpenAI researchers panic, etc. etc. I use Codex btw, and I really love it. But some of these companies have been so overhyping the capabilities of these mod…

I told my manager I wrote my code line by line (most of it) in a check-in. I showed him @author my name, and we laughed for a bit.

But I think that is the best way to have a clear mental model. Otherwise, no matter how careful, you always have tech debt building and churning.

Also they really suck at UI bugs and CSS. Unit test that stuff.

Re: OpenAI says its new model GPT-2 is too dangerous to release (2019)

#60
post #32

I think they are right unintentionally. The growing amount of low-quality content everywhere could become a real problem.

Lol. The vast majority of content has always been low-quality. Those who believe that things were better before LLMs have selective memory.

Maybe that's true, But I think before LLMs became common, people had more distinct ways of expressing themselves, low-quality for not. Now, a lot of online writing feels uniform and I think that is worse.
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