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by amelius7 hours ago |
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upvoteby aspenmartin7 hours ago|
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Of course they will. Tokens are valuable, you can always spend a finite budget on specialized tokens or fewer and higher quality tokens, size of user base and engagement gives you a flywheel moat that is difficult for newcomers to compete with. The market is complex and easy to oversimplify.
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upvoteby bryanrasmussen7 hours ago|
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My new startup tokencoin will blah blah blah exchange rate, (something AI writes here), 3. profit (more AI), benefiting all human kind and helping our users scale up their productive intelligence!
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upvoteby bryanlarsen7 hours ago|
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It's hard and complex to enter any mature market. The vast majority of firms that attempt to enter a new market fail. LLM's have no more than this normal moat.
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upvoteby aspenmartin6 hours ago|
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Well yes that’s my point: AI does not suddenly do away with the market.
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upvoteby bryanlarsen47 minutes ago|
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If every market has a moat, then saying that a particular market has a moat is a statement without meaning. The OP was probably not trying to make a meaningless statement, therefore the OP was probably saying that LLM's don't have an abnormally effective moat.

I agree, LLM's don't have an abnormally effective moat, just the standard moat most mature markets have due to market complexity. IOW, LLM's will likely end up with the standard oligopoly most modern western markets end up in, which have minor but relatively ineffective pricing power.

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upvoteby SilverElfin6 hours ago|
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Isn’t capital and momentum a moat? Sure Chinese models use distillation but I don’t see them training models from scratch. At least not today. But maybe as chips get cheaper and they have Chinese made ones?
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upvoteby swiftcoder6 hours ago|
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> Isn’t capital and momentum a moat?

Apparently not much of one. There are, what, 5 or more companies with frontier models? And open weights models like MiniMax are snapping at their heels

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upvoteby amelius2 hours ago|
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And it does not even consider that e.g. the EU might one day decide that AI should be for everyone, thus releasing a heavily subsidized open source model.

Or that at some point AI is good enough, and so at that point any model will do.

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upvoteby Nevermark6 hours ago|
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There are many markets where open source has been nipping at heels for a long time.

Obviously product areas differ for reasons structural and happenstance. But there is definitely a pattern that occurs, where open source fast follows commercial advances, benefiting from having a clear target to develop for.

Which is of course, a great service. Even if it never unseats the commercial version, it forces the owners to reinvest more in improvements, by undermining their moats. As well as providing a much better value alternative version for many people.

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upvoteby SilverElfin6 hours ago|
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I’m not technically familiar but I remember someone saying that models like MiniMax basically skip the cost of training by using distillation to basically “steal” the models from OpenAI or Anthropic, and that these companies now have various defenses against this. What happens when MiniMax has to do the full work themselves?
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upvoteby lelanthran2 hours ago|
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Why would they have to do it themselves?
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upvoteby bossyTeacher6 hours ago|
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>Chinese models use distillation but I don’t see them training models from scratch

Maybe because they don't have to. If someone is doing the heavy work and they can take output of that, it's a win for them.

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