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"The Need for Personalized AI Solutions: A Call for Contextual Modules"

Dec 4, 2023 - 10:21amSummary: The speaker discusses an anecdote about a cancer patient seeking advice from a chatbot, noting that while the AI can offer generic suggestions, it lacks personal context. The friend wonders why the AI doesn't specifically suggest contacting Chiaki, emphasizing the expectation that computers should understand users. The speaker suggests that developing AI with personal knowledge and understanding may better address such needs, highlighting the demand for personalized AI solutions. They propose creating an AI "brain" with contextual modules, referencing the existing consumer interest in this capability as evidence of its potential use.

Transcript: I'd like to mention one thing that one of Chiaki's friends mentioned to her. And I want to point it out as an example of basically what people expect computers to do already. And what Chiaki's friend... It's someone who is in her cancer therapy group. And she gets sad and depressed because she has cancer. And she was talking with GPT about this and, you know, what ways can she help herself in some way. And that is really fascinating. And the problem is that GPT doesn't know anything about you. And it can only give you the generic suggestions. It can't give you the specific suggestions like... The generic suggestion is call a friend. The specific suggestion is you should call Chiaki because you have a lot of shared context on this problem with her. And it's not that that is explicit. But it is implied because the computer does know you. And what I want to point out is that this girl, Chiaki's friend, said... Well, why doesn't GPT just suggest to call Chiaki? Or just call Chiaki on its own because that's what I need right now. And I want to highlight that as something that people already expect computers to do. People expect that computers do know them. And with AI and personal AI, I do think that leaning into this thing that the computer should know you seems to make a lot of sense to me. And I also want to say that to answer that question... How do you get the computer to solve that problem? You could build a specific application to do that. But really what it implies is that effectively it's the brain that we're building. And then having modules in the brain that understand your context when you ask it a question. And that it knows people and it knows these things. That it can take the generic GPT answer to that question and then go start asking itself... Oh, is there something relevant in my memory to this? Are there people that might be relevant to asking this question? And I find that clearly there is consumers that already want this. So obviously there is some use case.

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