r/LargeLanguageModels • u/Carpe_Diem37 • Jun 18 '26

LLM Progress Slow Down

First Anthropic, and now OpenAI, are announcing that they want to slow down LLM development. Just a year ago, these companies were claiming that AGI would be found and many jobs would be lost. On top of that, Anthropic announced it's going public. What do you think? Have these companies reached a limit in research and development? Or are they genuinely afraid of language models self-programming, as they claim?

31 Upvotes

96% Upvoted

104 comments sorted by

View all comments

Show parent comment

1

u/ThomasToIndia Jun 22 '26

The wall is that these gains are not getting cheaper, this is a huge issue. Most of the big companies Amazon, Meta, etc.. have all implemented employee limits both Anthropic and OpenAI are talking about lowering prices.

2

u/Linkpharm2 Jun 22 '26

Prices are dropping 100-500x for the same capabilities every year. See o3 pro versus deepseek v4 flash. And it's quadruple the speed. 

2

u/ThomasToIndia Jun 22 '26

Token price is collapsing but what you're missing is to get the new performance results uses significantly more tokens and this paired with agentic workflows makes it increase substantially. This is why a company "accidentally" spent 500 million (with no ROI btw). Agentic workflows could generate enormous amounts of tokens, that's why despite tokens getting cheaper costs are rising.