But their investors provide much of the compute, right?
Would it be crazy to think their investors demand so much compute spending from frontier labs?
This might also explain why chinese models are as good, with so much less compute available.
The AI industry reminds me of the luxury watch industry right now. Basically tokens have steadily become a commodity and you can buy them for 1/10 of the western price from China. So the western suppliers take a page out of the Rolex marketing playbook of using exclusivity and artificial scarcity to generate hype and fomo.
I played Europa Universalis 5 last night and miraculously a bunch of secret ai civilizations spawned...
You have to be highly educated to be this stupid and think ai civilization is anything but slop.
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.
This culminated in the third one taking over part of OpenAI itself.
All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.
I’ve spent the last three days reading through these reports and trying to understand exactly what happened.
Here is my attempt to tell the whole story in plain English:
https://t.co/Nb2un9oNJR
@kevinroose Companies job is to maximize shareholder value. Scaring people is one path to achieving this. This is not a conspiracy. Your fan-journalism is part of the problem.
@CathHurt@jon_stokes What do you mean? They all read sf and think it’s concepts are true. That’s how we get into this predicament of ignorance and stupidity by otherwise smart people. Has anyone told them ai has been trained on sf, so they look into a probabilistic mirror of training data?
We have paused some frontier RL training to ensure that we can meet the appropriate alignment, security and monitoring standards for the new level of capabilities in front of us. Model progress is now extremely rapid, and we always said we would take action if we felt that model capabilities were outstripping the pace of safety and alignment.
We care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime.
We expect confidence in safety to increasingly set the pace of AI progress. We are optimistic about the alignment work we are doing, and we remain committed to making frontier capabilities widely available.
https://t.co/51kvKfbfrO
@nic_carter@TMTLongShort Will be interesting to see if this continues and how it plays out. Do you think this could lead to a decline in compute demand, once a certain threshold is crossed?
@DKThomp Really good article. There might also be an innovation risk: if inference efficiency improvements stay at an order of magnitude/year, compute demand could decline, once models reach sufficient quality for monetizable tasks.
@willchen500 I think you are spot on. Additionally, if you look at the failure of SVB and especially the causes (excessive interest rate change risk and highly concentrated liquid deposits), there seems to be a similar thing that risk management is overlooked.
Alles nachvollziehbar. Mein Einwand wäre: die politischen Realitäten und einzementierten, organisierten Partikularinteressen in den Nationalstaaten lassen eine effizientere Lösung nicht zu (wir diskutieren in der Bankenunion seit ca 15 Jahren über Insolvenzrecht, ohne Ergebnis) Es ist der erste Schritt einer langen Reise, sehr europäisch.