They are IC roles for the most part
I suppose those $100M are spread across years and potentially contingent upon achieving certain milestones.
I assume you are going for “there are no more useful resources to acquire so those with all the resources overpay just to feel like they own those last few they don’t yet own”.
seems like governments will have a thing to say about who's able to run that AGI or not.
GPU's run on datacenters which exist in countries
For example, Meta seem to be spending so much so they don't later have to fight a war against an external Facebook-as-chatbot style competitor, but it's hard to see how such a thing could emerge from the current social media landscape.
Why why would they need fears about a quasi-facebook chatbot?
It is the same thing in sports as well. There will only ever be one Michael Jordan one Lionel Messi one Tiger Woods one Magnus Carlsen. And they are paid a lot because they are worth it.
>> Meta seem to be spending so much so they don't later have to fight a war against an external Facebook-as-chatbot style competitor
Meta moved on from facebook a while back.It has been years since I last logged into facebook and hardly anybody I know actually post anything there. Its a relic of the past.
Whenever and however it comes, it’s going to be a bloodbath because we haven’t had a proper burst since 2008. I don’t count 2020.
Some people are rightly pointing out that for quite a lot of things right now we probably already have AGI to a certain extent. Your average AI is way better than the average schmuck on the street in basically anything you can think of - maths, programming, writing poetry, world languages, music theory. Sure there are outliers where AI is not as good as a skilled practitioner in foo, but I think the AGI bar is about being "about as good as the average human" and not showing complete supremacy in every niche. So far the world has been disrupted sure, but not ended.
ASI of course is the next thing, but that's different.
I've gotten some great results out of LLM's, but thats often because the prompt was well crafted, and numerous iterations were performed based on my expertise.
You couldn't get that out of the LLM without that person most of the time.
I think a possible scenario is that we see huge open source advances in training and inference efficiency that ends up making some of the mega-investments in AI infrastructure look silly.
What will probably ‘save’ the mega-spending is (unfortunately!) the application of AI to the Forever Wars for profit.
https://nypost.com/2025/08/01/business/meta-pays-250m-to-lur...
Yes, the figures are nuts. But compare them to F1 or soccer salaries for top athletes. A single big name can drive billions in that context at least, and much more in the context of AI. $50M-$100M/year, particularly when some or most is stock, is rational.
I can't help but think that the structure of this kinda hints at there being a bit of a scam-y element, where a bunch of smart people are trying to pump some rich people out of as much money as possible, with questionable chances at making it back. Imagine that the people on The List had all the keys needed to build AGI already if they put their knowledge together, what action do you think they would take?
merelysounds•1h ago