Dylan Patel
๐ค SpeakerAppearances Over Time
Podcast Appearances
If you're going to upload model weights, it doesn't really matter because anyone that's serving it in an application and cares a lot about serving is going to, when serving it, if they're using it for a specific task, they're going to tailor it to that. And it doesn't matter that it's saying it's ChatGPT.
If you're going to upload model weights, it doesn't really matter because anyone that's serving it in an application and cares a lot about serving is going to, when serving it, if they're using it for a specific task, they're going to tailor it to that. And it doesn't matter that it's saying it's ChatGPT.
Like if we host the demo, you say, you are Tulu 3, a language model trained by the Allen Institute for AI. We also are benefited from OpenAI data because it's a great research tool.
Like if we host the demo, you say, you are Tulu 3, a language model trained by the Allen Institute for AI. We also are benefited from OpenAI data because it's a great research tool.
Like if we host the demo, you say, you are Tulu 3, a language model trained by the Allen Institute for AI. We also are benefited from OpenAI data because it's a great research tool.
I think that they're trying to shift the narrative. They're trying to protect themselves, and we saw this years ago when ByteDance was actually banned from some open AI APIs for training on outputs. There's other AI startups that most people, if you're in the AI culture, were like, They just told us they trained on open AI outputs and they never got banned.
I think that they're trying to shift the narrative. They're trying to protect themselves, and we saw this years ago when ByteDance was actually banned from some open AI APIs for training on outputs. There's other AI startups that most people, if you're in the AI culture, were like, They just told us they trained on open AI outputs and they never got banned.
I think that they're trying to shift the narrative. They're trying to protect themselves, and we saw this years ago when ByteDance was actually banned from some open AI APIs for training on outputs. There's other AI startups that most people, if you're in the AI culture, were like, They just told us they trained on open AI outputs and they never got banned.
Like that's how they bootstrapped their early models. So it's much easier to get off the ground using this than to set up human pipelines and build a strong model. So there's a long history here and a lot of the communications seem like narrative communications.
Like that's how they bootstrapped their early models. So it's much easier to get off the ground using this than to set up human pipelines and build a strong model. So there's a long history here and a lot of the communications seem like narrative communications.
Like that's how they bootstrapped their early models. So it's much easier to get off the ground using this than to set up human pipelines and build a strong model. So there's a long history here and a lot of the communications seem like narrative communications.
But like... It could break contracts. I don't think it's illegal. Like in any legal... Like no one's going to jail for this.
But like... It could break contracts. I don't think it's illegal. Like in any legal... Like no one's going to jail for this.
But like... It could break contracts. I don't think it's illegal. Like in any legal... Like no one's going to jail for this.
Genius. The early copyright lawsuits have fallen in the favor of AI training companies I would say that the long tail of use is going to go in the side of AI, which is if you do if you scrape trillions of data, you're not looking at the trillions of tokens of data. You're not looking and saying this one New York Times article is so important to me.
Genius. The early copyright lawsuits have fallen in the favor of AI training companies I would say that the long tail of use is going to go in the side of AI, which is if you do if you scrape trillions of data, you're not looking at the trillions of tokens of data. You're not looking and saying this one New York Times article is so important to me.
Genius. The early copyright lawsuits have fallen in the favor of AI training companies I would say that the long tail of use is going to go in the side of AI, which is if you do if you scrape trillions of data, you're not looking at the trillions of tokens of data. You're not looking and saying this one New York Times article is so important to me.
But if you're doing a audio generation for music or image generation and you say, make it in the style of X person. That's a reasonable case where you could figure out what is their profit margin on inference. I don't know if it's going to be the 50-50 of YouTube creator program or something, but I would opt into that program as a writer. Please.
But if you're doing a audio generation for music or image generation and you say, make it in the style of X person. That's a reasonable case where you could figure out what is their profit margin on inference. I don't know if it's going to be the 50-50 of YouTube creator program or something, but I would opt into that program as a writer. Please.
But if you're doing a audio generation for music or image generation and you say, make it in the style of X person. That's a reasonable case where you could figure out what is their profit margin on inference. I don't know if it's going to be the 50-50 of YouTube creator program or something, but I would opt into that program as a writer. Please.