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321 points jhunter1016 | 9 comments | | HN request time: 0s | source | bottom
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mikeryan ◴[] No.41878605[source]
While technical AI and LLMs are not something I’m well versed in. So as I sit on the sidelines and see the current proliferation of AI startups I’m starting to wonder where the moats are outside of access to raw computing power. Open AI seemed to have a massive lead in this space but that lead seems to be shrinking every day.
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weberer ◴[] No.41878784[source]
Obtaining high quality training data is the biggest moat right now.
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1. staticautomatic ◴[] No.41883992[source]
I’m in this space and no it isn’t.
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2. sumedh ◴[] No.41884027[source]
What is the moat then?
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3. staticautomatic ◴[] No.41884043[source]
Idk but it’s not lack of training data.
replies(2): >>41884094 #>>41887047 #
4. sumedh ◴[] No.41884094{3}[source]
You work in this space and you dont know what the moat is?
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5. staticautomatic ◴[] No.41884130{4}[source]
The market is two-sided
6. sangnoir ◴[] No.41884226{4}[source]
All of the people working in CS don't know if P=NP: working in a field doesn't mean you have all the answers.
7. mplewis ◴[] No.41884915{4}[source]
Tells you a lot about the state of the industry.
8. fastball ◴[] No.41887047{3}[source]
If you don't know what it is, how do you know it's not training data?
9. tim333 ◴[] No.41887971{4}[source]
There doesn't seem to be much of a moat. OpenAI, Gemini, Meta, X.Ai and Anthropic all seem to be able to much the same stuff. o1 is novel at the moment but I bet it'll be copied soon.