Meta Delays 'Behemoth' AI Model Release

According to the Wall Street Journal (paywalled), Meta is delaying the release of its largest Llama 4 AI model, known as "Behemoth," over concerns that it may not be enough of an advance on previous models. "It's another indicator that the AI industry's scaling strategy -- 'just make everything bigger' -- could be hitting a wall," notes Axios. From the report: The Journal says that Behemoth is now expected to be released in the fall or even later. It was originally scheduled to coincide with Meta's Llamacon event last month, then later postponed till June. It's also possible the company could speed up a more limited Behemoth release.

Is it possible to jump the shark anymore?

[Big Hairy Gorilla]

YESSS!

I can't wait for Behemoth Pro Ultra.
You know it's coming.

Re:

[sound+vision]

I can tell you I've been waiting years for the Meta Behemoth(tm) XL spying buttplug.

OR.....

[STratoHAKster]

It could be Meta's push toward "non-leftist bias" in AI models is backfiring in a big, totally predictable way. Same reason as their last hyped "big" AI model was a bit of a dud. An AI model is only as good as it's ability to speak unbiased fact. Like when Conservapedia was created to "battle the left-wing bias of Wikipedia" and it just ended up being filled with stupidity. Even the Schafly brothers who launched Conservapedia argued over an article regarding a science topic, being that one of them actua

Re:

[Iamthecheese]

>gish gallop Not worth responding to, except to point it out.

"The Shit Ov God"

[chthon]

From the REAL Behemoth!

Wrong direction?

[Dan East]

I'm not an AI expert, but I believe this pathway of creating a monolithic AI that is in and of itself the reasoning, knowledge and computation is the wrong way to go.
Stephen Wolfram (of Mathematica / Wolfram Alpha fame) had insight that LLMs would be best served as an interface between user queries and the knowledge / computation engines, instead of attempting to be the knowledge and computation engines themselves.

An analogy is asking a person to add up 100 numbers in their head as you call them out, versus