This piece captures and then explores exactly what I've always thought about the future direction of myhub.ai: imagine what would happen if you had your own personal AI assistant operating across your content - your public posts, private library (including content shared from friends, stuff in your reading queue, etc.) and the wider web, emphasising the sources you favour (based firstly on your Priority Sources, and then on the number of times you've curated their content).
He sets out the stakes from line one: "In the future, any time you look up information ... you’re not going to dig through your second brain. Instead, you’re going to ask a chatbot that sits on top of all of your notes, and the chatbot will return the right answer to you... I just built a demo over the weekend... Huberman Lab chatbot using GPT-3 ... can already answer questions plausibly well... [although] still gets things subtly wrong ... sometimes not specific enough to answer the question, and I have to ask follow-ups".
How? "When a user asks a question, it searches" a library he created of all transcripts from the Huberman Lab podcasts, finds relevant sections and sends them to GPT-3 with a carefully designed prompt - "something like 'Answer the question as truthfully as possible using the provided context, and if the answer is not contained within the text below, say "I don't know." // [ relevant sections of Huberman Lab transcripts ] // Q: [user question]' ... It took probably a weekend of effort."
Of course there are problems, but this is literally within the first month, and is constrained by OpenAI's API. A few developments would improve it:
"there’s a new way to monetize any existing set of intellectual property... anything that’s used as a reference should become a chat bot... [if you can0t code] buy the rights to turn this information into chatbots and sell them later to a bidder who can."
The job of company librarians will evolve into chatbot training... until the bots can manage and update the knowledge themselves: "a chatbot that answers questions by sourcing information from the right person* or document, makes sure documents are up to date, and proactively records tacit knowledge into living documents by periodically interviewing key people".
My note: (*) This will need finetuning. Imagine a working environment where getting info was as easy as asking a bot, but where that bot then asked the right people for you using chat. We'd all be submerged with requests from bots.
"who’s going to win? ... I think power will settle in at least four places..."
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