[bilater]

Yeah not only is it totally unsubstantiated, the benchmarks are getting less useful to really show the difference between these models. Big model smell is still a thing and GLM 5.2 while impressive is not Fable class.

Here is something I would like people to chew on. Perhaps the smartest researchers in the world across multiple labs know more about this than we do? Perhaps they are aware of issues like the data wall and diminishing marginal returns. And perhaps they are being honest when they tell you there is no wall?

[coldtea]

>Perhaps the smartest researchers in the world across multiple labs know more about this than we do?

Perhaps the smartest researchers in the world across multiple labs follow the money, and don't make waves that go against them getting their paychecks?

That's part of what makes them smartest.

[nathan_compton]

Are the smartest researchers in the world out there saying there isn't a wall? I don't know of any people doing the actual R&D who frequently make outrageous claims.

[itkovian_]

The entirety of Anthropic believe ai is going to eat everything, not just software, and result in major societal disruption within a year. They do not have a sliver of a doubt on this. Article has no idea, is completely wrong.

[coldtea]

"Company execs and stuff pre-IPO declare their product is amazing and will change everything, news at 11"

[bilater]

https://x.com/polynoamial/status/2064210146558136827

[djvdq]

I'd say that as OpenAI employee he's kinda biased on the topic

[fragmede]

In what way is what he's saying wrong though? It makes him considerably more knowledgeable about the subject than the average Joe, and unfortunately for science, it's not like you're going to find an independent spherical researcher in the wild that exists without any bias.