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ChatGPT's Growth Is Flatlining: Where Does It Go From Here?
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this post was submitted on 20 Feb 2024
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It's not exactly training, but Google just recently previewed a LLM with a million-token context that can do effectively the same thing. One of the tests they did was to put a dictionary for a very obscure language (only 200 speakers worldwide) into the context, knowing that nothing about that language was in its original training data, and the LLM was able to translate it fluently.
This just means that OpenAI is voluntarily ceding the field to more ambitious companies.
Gemini is definitely poised to bury ChatGPT if its real world performance lives up to the curated examples they've demostrated thus far. As much as I dislike that it's Google, I am still interested to try it out.
Possibly. While text to video has been experimented with for the last year by lots of hobbyists and other teams, the end results have been mostly underwhelming. Sora's examples were pretty damn impressive, but I'll hold judgment until I get to see more examples from common users vs cherry-picked demos. If it's capable of delivering that level of quality consistently, I don't see another model catching up for another year or so.
Sora's capabilities aren't really relevant to the competition if OpenAI isn't allowing it to be used, though. All it does is let the actual competitors know what's possible if they try, which can make it easier to get investment.
They are allowing people and companies to use it, it's just limited access. I do not think it's a good idea for them to open it to the public without plenty of safeguards. Deep fakes are becoming way, way too easy to manufacture nowadays, and I'm in no hurry to throw even more gasoline on a fire that's already out of control.