Comment by adgjlsfhk1

Comment by adgjlsfhk1 9 hours ago

7 replies

the problem with the YouTube analogy is that media platforms have significant network affects that NN providers don't. OpenAI can't command a premium because every year that goes by the cost to train an equivalent model to theirs decreases.

usef- 9 hours ago

Youtube didn't either at the time. The front page was widely seen as garbage, and everyone I knew watched videos because they were embedded or linked from external sites. "If they introduced ads, people will just switch to other video hosts, wont they?". Many of the cooler creators used Vimeo. It was the good recommendation algorithm that came later, that I think allowed an actual network effect, and I don't remember people predicting that.

The field is too young to know what will keep users, but there are definitely things that plausibly could create a lock-in effect. I mentioned one ("ChatGPT knows me") which could grow over time as people have shared more of themselves with ChatGPT. There's also pilots of multi-person chats, and the social elements in Sora. Some people already feel compelled to stick to the "person" they're comfortable talking to. The chance of OpenAI finding something isn't zero.

  • polishTar 6 hours ago

    That's a bit revisionist. Network effects were obvious when Google acquired Youtube. Google Video had the edge technically, but it didn't matter because Youtube had the users/content and Google saw that very clearly in their user growth before they made their offer.

    • usef- 5 hours ago

      I'm not sure about it having the edge, I thought Google video had a worse interface between them at the time. But that point feels eerily relevant anyway: a lot of normal people I see don't care if Claude/Gemini/etc are better models technically, they're comfortable with ChatGPT already.

      A lot of YT's growth at the time was word of mouth and brand among the population, which is currently ChatGPT's position.

      • verdverm 5 hours ago

        ChatGPT is losing their brand positioning to Google, Anthropic, and Chinese Open Source

        Altman knows this and why he called code red. If OpenAI hasn't produce a fully new model in 1.5 years, how much longer can they hang on before people will turn to alternatives that are technically better? How long before they could feasibly put out a new model if they are having issues in pre-training?