I think there will be a small handful of like fundamental large models out there that other people build on but right now what happens is, you know, company makes large language model API other people building on top of it. I'm skeptical of all of the startups that are trying to sort of train their own models. And then those, those companies will create a lot of enduring value because they will have like a special version of,. they won't have created the base model but they will have created something they can use just for themselves or share with others and improve over time. So I think there'll be a lot of value created in that middle layer.
A re-broadcast of Greylock general partner Reid Hoffman's interview with OpenAI CEO Sam Altman, recorded during Greylock's Intelligent Future summit in August 2022. Founded in 2015, OpenAI has recently released several high-profile products in quick succession: succession: its generative transformer model GPT-3 – which uses deep learning to produce human-like text – its image-creation platform DALL-E – and most recently, ChatGPT. Trained on massive large language models, the highly sophisticated chatbot can mimic human conversation and speak on a wide range of topics.
You can watch a video of the interview here: https://youtu.be/WHoWGNQRXb0
You can read a transcript of this interview here: https://greylock.com/greymatter/sam-altman-ai-for-the-next-era/
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