(no title)
PhunkyPhil | 6 months ago
This means there's two avenues:
1. Get a team of researchers to improve the quality of the models themselves to provide a _better_ chat interface
2. Get a lot of engineers to work LLMs into a useful product besides a chat interface.
I don't think that either of these options are going to pan out. For (1), the consumer market has been saturated. Laymen are already impressed enough by inference quality, there's little ground to be gained here besides a super AGI terminator Jarvis.
I think there's something to be had with agentic interfaces now and in the future, but they would need to have the same punching power to the public that GPT3 did when it came out to justify the billions in expenditure, which I don't think it will.
I think these companies might be able to break even if they can automate enough jobs, but... I'm not so sure.
YetAnotherNick|6 months ago
[1]: https://www.sec.gov/Archives/edgar/data/1326801/000132680114...
utyop22|6 months ago
bonsai_bar|6 months ago
I mean Cursor is already at $500 million ARR...
PhunkyPhil|6 months ago
I could see the increased productivity of using Cursor indirectly generating a lot more value per engineer, but... I wouldn't put my money on it being worth it overall, and neither should investors chasing the Nvidia returns bag.