[Lyapunov_Lover]

It's not a secret at all. Transformer models scale. Big models are powerful. Everyone knows this. Google can afford to train very big models. It's not a new technique. I think the issue here is that people are uncomfortable with the idea of AI models displaying scale relativity.

[visarga]

Big model also means lots of data, including lots of unfiltered garbage used in training. Nobody can manually review so much data, all they can do is automated filtering at this scale. So this means the model has a large attack surface and it is going to be used to do something bad and shame itself when put together with critics determined to find those gaps.

We have seen in the last few months attacks on Google Translate, GPT-3 and other language models from the PC crowd, including the famous AI Ethics firings. It's just tricky to show it in this climate.

The PC crowd don't believe language is fair and concepts neutral, instead saying they are an expression of systems of power. So language models are a natural target for them because they could amplify biases against their identity groups.

I find this critique hasty especially because big language models are nascent technology. We shouldn't throw away the baby with the bath water!

[Lyapunov_Lover]

The PC crowd is right. Language encodes our cultural beliefs, and many of them are pretty rotten. But how do you update a culture's shared set of beliefs? Banning words is a symbolic exercise. What we tend to do instead is that we tell stories and share perspectives. We learn to empathize.

Figuring out how to feed language models with diverse sources of information is a tough challenge, but not impossible. I share Gebru's concern about "stochastic parrots".

[visarga]

I'll take logical reasoning over "stories" any day.

And calling language model "parrots" is flouting. Many people worked for decades to reach that accomplishment, here come the critics to shit all over it.

> But how do you update a culture's shared set of beliefs?

It's not the place of AI models to do activism, and it's a slippery slope leading to AI based inquisition. Take a look at how China uses AI to oppress their own people.

[Lyapunov_Lover]

Stories are compressed representations of complex spatiotemporal patterns. We use stories to make sense of the world and to share our insights with others. And if you think about it, stories are essentially containers for if-then relationships. So they're not as far removed from logical reasoning as you might imagine.

I don't understand why you'd find the use of the term 'parrot' offensive. Language models extract linguistic patterns. GPTs generate patterns based on those which they have been trained on. That's a process that can be described as parroting. If you find it offensive because you think it implies that the researchers coming up with these models aren't worthy of credit, I think you are reading something into it that isn't there. At least not from my perspective.

When I mentioned updating cultural beliefs, I was referring to the traditional way of going about it: through cultural products. My point was that the "PC crowd" would be better off if they relied on this strategy rather than attempting to halt the development of language models. I was absolutely not suggesting that language models should be used to "train" members of society. That's a dystopian nightmare.

[visarga]

> We use stories to make sense of the world and to share our insights with others.

True, as long as you empathize with the story, and empathy comes from feeling united. But the PC army abandoned empathy in favor of identity, and think they are on their own, fighting a war, a zero sum game. Noninclusive politics is asking for empathy, how ridiculous, it's the same as demanding tolerance for intolerance.

They teach a whole ideology of guilt in order to dehumanize their opponents and cut the empathy towards them. They can't complain.