[martingoodson]

The failure to do any meaningful work related to the most important breakthrough in AI ever is objectively bad.

[version_five]

That doesn't follow from anything. Research is part methodical slog, part lottery, maybe a pinch of intelligence. A few labs won the short term lottery here, and most researchers explored stuff that didn't get headlines. (And to be fair, OpenAI built a great product that catapulted lab research into popular view).

There might be some argument on other metrics - publications, students trained, lectures, recognition, whatever, that show this institute is lagging. But not being part or llms implies nothing about their success or failure.

[mnd999]

LLMs are not the most important breakthrough in AI ever, in the same way the NFTs are not the most important breakthrough in digital commerce ever. It's just a load of hype to generate big funding rounds. At least there's no cartoon apes this time around.

[sva_]

I agree that LLMs are not the most important AI breakthrough ever, but your characterization seems needlessly harsh, as LLMs undeniably have utility.

[extasia]

The transformer architecture is arguably the most important breakthrough in NLP, and language is the predominant mode of communication between humans, so I fail to see how its "just a load of hype"

Could you name a bigger breakthrough in AI?

[sva_]

I'd say the Multi-Layer perception itself.

Maybe even convolutional neural networks, because they showed that ANNs are viable and are what really got the ball rolling.

[mafribe]

CNNs are from the 1980s (the "neocognitron" by Kunihiko Fukushima [1]), while the MLP is from 1958 [2]. So nearly half a century, resp. a century old.

[1] K. Fukushima, Neocognitron: A Self-organizing Neural Network Model for a Mechanism of Pattern Recognition Unaffected by Shift in Position.

[2] F. Rosenblatt, The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain.