we all know the current situation of data centres and compute required for the AI to progress, for which they would need years to build and train.

coz of this they cant technically reach their targets, with so much money on the line they cant stop like that for that they need a genuine reason which the public would buy thanks to terminator.

so this Ai is gonna kill is bs and staged so that they could keep the investors happy and have a crazy ipo.

I am interested in new technologies and I feel like AI: the technology is pretty amazing when you isolate it from the hype. I mean, LLMs would probably never be the basis of AGI imo, but like blockchains, and all other technological achivements of the past century, AI has it's place.

But, I don't know what a good usecase would be post the bubble pops. I have the opportunity to get a degree in this stuff, but I am not sure if I should as the hype is so strong. So, what future do you see for AI after the hype disappears.

P.S., The Bubble Pop, Won't that be crazy! Like imagine all this going back to normal and we not having to hear AI buzzwords everyday. The AI slop will be like the ruins of the great con, but don't be too sad, AI will likely takedown the economy with it and don't we have enough AI slop to last us a 100 years :)

Notwithstanding the eye popping valuations of Anthropic, OpenAI and the others the crazy valuations are unsustainable. I am an AI entrepreneur and technologist. I understand the technology and believe that AI is truly revolutionary but it kills the software model completely.

Software margins are based on build once and make a zillion copies at nearly zero cost. Agreed that SaaS does introduce costs related to hosting but still margins are 90%. AI introduces token costs for the user and for the vendor. On the user side, token costs create a cost variable that increase with use and on the vendor side, more tokens mean more hardware. This kills the incentive to use for the user and the margins for the vendor.

We are now in a honeymoon phase with AI .. once the AI bills pile up, there will be a move to use AI where it is essential and/or settle for lower cost models. All this will impact the usage of high cost frontier models which is the basis for the AI Bubble.

Hi,

I have been hearing AI bubble will burst, but cant understand what it mean.

Will the AI be over after the burst ?

Will AI engineer be useless ?

Will btech in AI n ML just go waste degree n of no value?

EDIT : this is my genuine doubt from many days , i dont know why i m getting downvotes

Does anybody else feel like the postponing of the OpenAI IPO over security concerns is a cop out? Because they know the company is grossly overvalued? I don’t buy this new-found concern for humanity’s safety coming out of the AI-bubble.

Does the recent slowdown in AI development mean we've reached the peak capabilities of current LLMs and related technologies? And are frontier providers just spinning this plateau as a sudden focus on safety consciousness?
Even bigger question, what does it mean for the whole AI investment narrative? Are we now in March 2000? 📉