Comment by Retro_Dev
4 hours ago
I'd imagine that OpenAI would try to stagger their announcements, rather than publishing them recently close to each other. Is this because their previous post (about navier stokes problem) was met with controversy?
4 hours ago
I'd imagine that OpenAI would try to stagger their announcements, rather than publishing them recently close to each other. Is this because their previous post (about navier stokes problem) was met with controversy?
I genuinely think that AI has accelerated so many different things that announcements from all companies will be incredibly common and fast.
In my own company, the last 2 months, I feel like we've made more feature announcements to our internal staff than they can handle. AI has genuinely made us that much faster.
In the past, making one of these announcements every month and the company celebrated. Now we're making making multiple each week.
Not only that, we're making so many tiny improvements and bug fixes that improve the experience but we don't even bother to make those announcements anymore. They don't feel "grand" enough anymore. The goal post has shifted a lot in the last 6 months.
I apologise if this sounds mean spirited, I find posts like these making grand claims without taking the time to present facts that back the magnitude of these claims simply add noise to the discussion.
You could've stopped with just the first sentence and I've would learned just as much as I did reading that comment to the end.
I've been tracking Github commits per week for my team. Here's how it's looking:
https://imgur.com/a/GvByYrD
Our own Github commits volume seem to follow quite closely with token usage on Open Router:
https://openrouter.ai/rankings
4 replies →
> I feel like we've made more feature announcements to our internal staff than they can handle.
And your solution to staff being unable to handle the number of feature announcements be like..?
> more feature announcements to our internal staff than they can handle
have you considered the consequences of that or are you still drunk and thinking that this is a good thing?
They solved the code, now they're gonna solve the people away.
1 reply →
Which company?
This is just a blogpost, rather than a major announcement (FLT proof was closer to the latter than the former)
At the rate this field is accelerating maybe this IS staggering
They are desperately rushing to IPO before the bubble bursts.
AI just solved a millennium prize problem. In a matter of days. Because of a rumor that someone else solved the same problem with AI.
What exactly would AI have to do in order to not be called a bubble?
How these things are even connected?
The current prices the largest players set for their models are not profitable, they bleed money. Eventually they will "fix" it. It could end up making their services less affordable and it could cascade other businesses and services that are dependent on them go out of business
2 replies →
You don’t understand what a bubble is. How good the technology is is irrelevant. That has nothing to do with an economical bubble. It’s all about massive capital misallocation driven by a frenzy of FOMO, which is specifically the case for AI investments. Economically speaking what is happening is the most obvious bubble possible, it follows everything that would be expected from a bubble where companies are chasing an ill-defined grandiose dream, based on a new technology we don’t understand and has very dubious ROI, selling some vague future utopia, allocating massive amount of capital to build infrastructure dedicated to a very early versions of that technology.
As things mature there will be a correction, ie the bubble will pop.
I would recommend to read « Boom and Bust: a global history of financial bubbles » https://pure.qub.ac.uk/en/publications/boom-and-bust-a-globa...
2 replies →
Its resource allocation problem, same happened with .com bubble, lots investors put tons of money into dark fibers. Were they useless? No its very useful.
If you want check a example company from the .com days check cisco, their stock peaked at 75 then crashed hard and only managed hit that again thanks for the AI bubble.
Per Anthropic's prospectus: generate $30T (~94% of 2026 US nominal GDP) in revenue.
If non AI companies, in particular non tech companies start making unprecedented amounts of profit, inflation adjusted I will concede.
That being said I think LLMs are impressive, still.
You really believe there will be less demand for AI in the future?
No, I think AI models will be cheap commodities available from hundreds of providers for a few dollars, like a Linux VM is today.