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Comment by dubswithus | Hacker News Reader

If Google has something similar or better it definitely makes it look like OpenAI is wasting its time. None of this relates to AGI.

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I don't think anyone is saying that humanity is close to AGI, but check out DeepMind's Gato work for a more well-rounded agent:

https://www.deepmind.com/publications/a-generalist-agent

I think we're past a certain threshold, maybe not AGI but some definite qualitative change is happening.

I mean DALL-E 2 was the first time my jaw really hit the floor, although in fairness GPT-3 probably should've done that, but it's easier to do with images.

And then for this to drop just a month later? Insane. It makes you wonder if they're actually releasing cutting edge, or Google decided to write this paper just because of the publication of DALL-E 2. Maybe they've had this model in the bag for a year.

Google also released this different text to image model yesterday

https://parti.research.google/

I think they've just got a lot of projects going on under the hood and timing was coincidence.

Looks cool although not as good as Imagen. Autoregressive vs Diffusion i guess

It seems you can do a lot by making a really big model, but it'd be more impressive to do a lot with a small model, or build one that can explain itself and its "inspirations" in the training data.

WebGPT can do the last one, and seems more useful than GPT3, but also like less of a magic trick so it might not impress people as much.

Lots of people are saying that. I am saying that. OpenAI has it as a foundational mid-term goal.

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