Show HN: Factual AI Q&A – Answers based on Huberman Lab transcripts

It tries to solve the LLM hallucination issue by guiding it only to answer questions from the given context instead of making things up. If you ask something not covered in an episode, it should say that it doesn't know rather than providing a plausible, but potentially incorrect response.

It uses Whisper to transcribe, text-embedding-ada-002 to embed, Pinecone.io to search, and text-davinci-003 to generate the answer.

More examples and explanations here: https://twitter.com/rileytomasek/status/1603854647575384067

Show HN: Factual AI Q&A – Answers based on Huberman Lab transcripts
huberman.rile.yt

>> The default mode network and the task networks become de-synchronized in the ADHD brain.

> What are the three parts of the brain that become de-synchronized in the ADHD brain?

>> The default mode network, the task networks, and the dopamine circuits.

From https://youtu.be/hFL6qRIJZ_Y?t=1714:

> An area called the dorsolateral prefrontal cortex ... the posterior cingulate cortex, and ... the lateral parietal lobe ... these are three brain areas that normally are synchronized in their activities ... that's how it is in a typical person. In a person with ADHD ... these brain areas are not playing well with each other.

I wonder if part of the problem might be the usage of text to speech. Did you consider scraping the transcriptions instead? e.g. with https://github.com/jdepoix/youtube-transcript-api

My guess is that there are more relevant results from the semantic search than I'm including in the context (to reduce costs) and that exact snippet isn't being given to the answering model as context.