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Re:Tempering Expectations for GPT-3 and OpenAI’s API by screye on Sunday July 19, 2020 @07:24PM (#23893278)
From the POV of an AI practitioner, there is one and only one reason I remain unimpressed with GPT3.

It is nothing more than one big transformer. At a technical level, it does nothing impressive, apart from throw money at a problem.

So in that sense, having already been impressed at Transformers and then ELMO/BERT/GPT-1 (for making massive pretraining popular). There is nothing in GPT3 that is particularly impressive outside of Transformers and massive pre-training, both of which are well known in the community.

So, yeah, I am very impressed by how well transformers scale. But, idk if I'd give OpenAI any credit for that.

Re:Tempering Expectations for GPT-3 and OpenAI’s API by neurologic on Monday July 20, 2020 @12:17AM (#23894610)
The novelty of GPT3 is its few shot learning capabilities. GPT3 shows a new, previously-unknown, and, most importantly, extremely useful property of very large transformers trained on text -- that they can learn to do new things quickly. There isn't any ML researcher on record who predicted it.
Re:Tempering Expectations for GPT-3 and OpenAI’s API by MiroF on Monday July 20, 2020 @01:54PM (#23900233)
> There isn't any ML researcher on record who predicted it.

That's just absurd - this was an obvious end-result for LM. NLP researchers knew that something like this was absolutely possible, my professor predicted it like 3 years ago.

Re:Tempering Expectations for GPT-3 and OpenAI’s API by ricksharp on Monday July 20, 2020 @07:23AM (#23896728)
Yes, the emergent ability to understand commands mixed in with examples is pretty crazy.