102 comments

[ 3.1 ms ] story [ 87.8 ms ] thread
Maybe this time investors will realize how incompetent these leaders are? How do you go from 250mil contracts to freezes in under a month?
What I don't get is that they are gunning for the people that brought us the innovations we are working with right now. How often does it happen that someone really strikes gold a second time in research at such a high level? It's not a sport.
One of the near top signals of this AI bubble.

In this hype cycle, you are in late 1999, early 2000.

Quality over quantity.

Apparently its better to pay $100 million for 10 people than $1 million for 1000 people.

as an outsider, what I find the most impressive is how long it took for people to realize this was a bubble.

Has been for a few years now.

Hey were only get huge options / stock based on the growth of the business.

Plus they will of had a vesting schedule

Besides the point that it was mental but the dude wanted the best and was throwing money at the problem.

(comment deleted)
I just did a phone screen with Meta, and the interviewer asked for Euclidean distance between two points; they definitely have some nerds in the building.
> Sam Altman, OpenAI’s chief executive, has compared hype around AI to the dotcom bubble at the turn of the century

Sam is the main one driving the hype, that's rich...

The team drew criticism from executives this spring after the release of the latest Llama models underperformed expectations.

interesting

Nothing would give me a nicer feeling of schadenfreude than to see Meta, Google, and these other frothing-at-the-mouth AI hucksters take a bath on their bets.
I really do wonder if any of those rock star $100m++ hires managed to get a 9-figure sign-on bonus, or if the majority have year(s) long performance clauses.

Imagine being paid generational wealth, and then the house of cards comes crashing down a couple of months later.

Title is a bit misleading. Meta freezes hiring after acquiring and hiring a ton while, somewhere else, Altman says it's a bubble.

The more obvious reason for a freeze is they just got done acquiring a ton of talent

Does this mean the ai companies will start charging more? I only just started figuring this AI thing out.
The money committed to payroll for these supposed top AI is equivalent to a mid size startup’s payroll, no wonder they had to hit pause.
It could be that, beyond the AI bubble, there may be a broader understanding of economic conditions that Meta likely has. Corporate spending cuts often follow such insights.
Good call in this case specifically, but lord this is some kind of directionless leadership despite well thought out concerns over the true economic impact of LLMs and other generative AI tech.

Useful, amazing tech but only for specific niches and not as generalist application that will end and transform the world as we know it.

I find it refreshing to browse r/betteroffline these days after 2 years of being bombarded with grifting LinkedIn lunatics everywhere you look.

>> Mr Zuckerberg has said he wants to develop a “personal superintelligence” that acts as a permanent superhuman assistant and lives in smart glasses.

Yann Le Cun has spoken about this, so much that I thought it was his idea.

In any case, how's that going to work? Is everyone going to start wearing glasses? What happens if someone doesn't want to wear glasses?

How did this get pushed of the front page with over 100 points in less then an hour?

YC does not like that kind of articles?

what happened to the metaverse??? I thought we finally had legs!

Seriously why does anyone take this company seriously? Its gotta be the worst of the big tech, besides maybe anything Elon touches, and even then...

Really feels like it went from "AI is going to destroy everyone's jobs forever" to "whoops bubble" in about 6 weeks.
Similar to my view of AI, there is a huge bubble in current AI. Current AI is nothing more than a second-hand information processing model, with inherent cognitive biases, lagging behind environmental changes, and other limitations or shortcomings.