A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
model provider appears in 26 chunks across 19 episodes, from 2024-07-15 to 2026-04-13.
Its densest episode is Bits and Bobs 5/19/25 (2025-05-19), with 4 observations on this topic.
Semantically it travels with llm model, OpenAI, and llms, while by chunk count it sits between huge amount and origin model; its yearly rank moved from #67 in 2024 to #151 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2024-07-15 to 2026-04-13Mean1.4 per episodePeak4 on 2025-05-19
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 26 observations sorted from latest to earliest.
...elected for.
If vertical integration is selected for, it's conceivable that the model providers stop giving access to the models for the frontier models.
Mythos appears to be going that way.
Conveniently, they can tell a story of national secur...
A situation good for society is "all of the model providers have to compete and none of them win" for LLMs.
Great for everyone but the LLM model providers, who are in a never-ending red ocean battle.
But the ...
The model providers seem to be in a meta-stable equilibrium.
None of them have any differential pricing power, since the models are practically commodity.
But they do a...
The LLM model providers are like electricity providers back when electricity was new.
Competing to get better quality for cheaper.
Innovating on new techniques to do so.
Bu...
...'t.
They are bound by their fiduciary duty to continue pushing, since the other model providers are too.
One apparently told him that they were hoping for a Chernobyl style disaster that would get governments to step in and stop the competition...
I continue to think the best business parallel for LLM model providers is cell phone networks.
Extremely capital intensive to build out, but then much lower marginal cost to operate.
Though inference has much more margi...
Tying models to UX from that model provider is dangerous.
If the models are tied to the UX from the vertical integration, users get stuck to a single model.
That requires that one model to be "...
...dels of generally competitive quality and lightly differentiated abilities.
The model provider should not also own the context layer.
That's like the cell carrier trying to dictate you can only use their super-app on your phone.
...t consumers have a subscription to that then allows them to use any of the main model providers with their context and not get stuck with any of them.
But it's unclear which of those offerings will be the schelling point that starts getting com...
...heir API before ChatGPT got big.
Because they set that precedent, the other top model providers also added a public API.
Now, if any one of the providers got rid of their API, their competitors would push forward and scoop up the market share.
...
...models after multiple conversation turns now.
This is good for everyone but the model providers; no individual model provider will have undue power by default, because there are multiple options in the same ballpark.
Similar competitive dynamic...
...ion between the layers.
The application layer and model layer will collide.
The model providers will push hard to have their vertically integrated app used instead of the public API.
...f features, because now users can get them for free… if they just commit to one model provider.
It's OpenAI trying to change the game from stateless, easy-to-swap LLM providers, where the only competition is on quality and cost of the model, an...
...o be the dumb pipes.
But everyone else wants the pipes they use to be dumb.
The model providers don't want to be dumb pipes so they're moving aggressively up the stack to the application layer.
... it will take time to discover which ones.
We are in the early innings!
The LLM model providers are the electricity providers.
Expensive, competitive, value-creating... but not necessarily a great business.
...t world!
But less strategic power than the things that directly face users.
LLM model providers will definitely be important... and also more likely to be subterranean.
Unless the UX of actually using the models, e.g. high-quality integration w...
...s have a default advantage, but not a massive one.
The reason it feels like the model providers' 1P UX will win is that it assumes that the "killer use case" of LLMs is a chatbot.
If the killer use case is a vanilla chat bot, then it makes sens...