The real competition is coming out of China right now and I doubt the Chinese government is going to let them buy out their "fast follower" AI companies that are consistently 6-12 months behind in terms of quality. That said, I'm factoring quality as in Opus 4.5/Sonnet 4.5/GPT-5.5 as break points since I haven't really seen an improvement since that point when using AI.
https://www.anthropic.com/research/2028-ai-leadership
They are already starting that now.
I wouldn't be one bit surprised if a rash of digital sovereignty movements in the near future hamper Chinese model adoption.
The downside of course, is that it is much much harder to go back to chopping wood once that furniture is all gone. Especially if all you ever knew was burning furniture.
A company consumed half a billion dollars worth of tokens in a month and nobody noticed anything until the bill came due.
Tha $500m dollars is roughly equivalent to 2000 people working for a year or 500 people working for four years, they can and would accomplish a lot if they worked in companies that add value to the economy by solving real problems.
Marketing only takes you so far in creating noise.
Its weird seeing this focus on bench marks again - PC's did this for quite some time. But in the end it came down to - what does all this additional horsepower let you do? Oh create interesting apps, multi-tasking etc. Which was really the value-add.
I'm responsible for AI roll out at a small business and we've had data science go over these things internally in terms of what results we get for 12+ months now. Its just my experience that is roughly the results we've seen using Deepseek, etc. and comparing cost/results vs. Anthropic/ChatGPT.
> A company consumed half a billion dollars worth of tokens in a month and nobody noticed anything until the bill came due.
It was sourced from one anonymous source. Its highly unlikely to be true in my view, but hey, you do you.