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If it becomes obvious that LLM's have a more narrow set of use cases, rather than the all encompassing story we hear today, then I would bet that the LLM platforms (OpenAI, Anthropic, Google, etc) will start developing products to compete directly with applications that supposed to be building on top of them like Cursor, in an attempt to increase their revenue.

I wonder what this would mean for companies raising today on the premise of building on top of these platforms. Maybe the best ones get their ideas copied, reimplemented, and sold for cheaper?

We already kind of see this today with OpenAI's canvas and Claude artifacts. Perhaps they'll even start moving into Palantir's space and start having direct customer implementation teams.

It is becoming increasing obvious that LLM's are quickly becoming commoditized. Everyone is starting to approach the same limits in intelligence, and are finding it hard to carve out margin from competitors.

Most recently exhibited by the backlash at claude raising prices because their product is better. In any normal market, this would be totally expected, but people seemed shocked that anyone would charge more than the raw cost it would take to run the LLM itself.

https://x.com/ArtificialAnlys/status/1853598554570555614






Maybe in like 5yrs+. For now they will rake in billions just from API usage alone just with GPT4 and whatever 5 is.

Amazon and Google didn't mess with their core business by competing with the players using it until they REALLY ran out of ways to make money.


OpenAI is losing far more billions than they are raking in. I don't think any generative AI company is even close to profitable at the moment.

https://www.cnbc.com/2024/10/30/microsoft-cfo-says-openai-in...


When you make 4 billion in revenue you can generally figure out how to become profitable over time

High growth early days is a poor time to judge that




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