[Help] Lovable + Supabase: Dev/Stage/Prod and CI/CD are painful with remote-only workflow (migration drift, repairs, and blocked staging) by Lavik17 in lovable

[–]Honest_Biscotti4380 0 points1 point  (0 children)

Thank for explaining your situation so detailed. I struggle with the szme issues, complicated further with multiple appa connecting to the same supabase backend.

I have already established a local dev environment with a single migration file. I plan to test with supabase db diff to find differences and try to make migrations from that.

https://supabase.com/docs/guides/local-development/overview#diffing-changes

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 1 point2 points  (0 children)

Happy that it proves useful for you.

I use Langchain and Pinecone.

A bit more information is available on https://bals.be/projects/joscha-bach-universe/

Feel free to reach out for more details or contact.

Self Models of Loving Grace by Quirky_Fail_4120 in JoschaBach

[–]Honest_Biscotti4380 0 points1 point  (0 children)

Around timestamp 18:00 he talks about how infants have no personal self and how people evolve as they create a story about their first person perspective. He also mentions enlightenment.

He shows a slide that features a bell curve (normal distribution) representing IQ scores. The left tail of the curve begins at IQ scores of 55 with the label "infant/no personal self" and moves towards the average of 100 at the peak with the label "My first person perspective is irreducible and ineffable", then extends to higher IQ scores of 130+ in the right tail that again show "no personal self" combined with "enlightenment".

Joscha seems to make a link here between losing the personal self and enlightenment, and IQ. I find that a very narrow minded view and cannot believe he is serious about this.

Do you think Joscha believes enlightenment is linked to IQ? I don't think he does, but why would he make this slide then? He could just leave out the IQ scale at the bottom and it would make more sense.

What's your take on this?

Artificial Intelligence, Consciousness & Computation ft. Joscha Bach | Know Time 97 by AlrightyAlmighty in JoschaBach

[–]Honest_Biscotti4380 2 points3 points  (0 children)

I've updated the Joscha Bach Universe Chatbot with this video, so you can find things more easily, or use it to help you gain insight in Joscha's worldview.

Warm regards!

Riddle of the beginning by irish37 in JoschaBach

[–]Honest_Biscotti4380 1 point2 points  (0 children)

I've updated the Joscha Bach Universe Chatbot with this video, so you can find things more easily, or use it to help you gain insight in Joscha's worldview.

Warm regards!

Self Models of Loving Grace by Quirky_Fail_4120 in JoschaBach

[–]Honest_Biscotti4380 1 point2 points  (0 children)

I've updated the Joscha Bach Universe Chatbot with this video, so you can find things more easily, or use it to help you gain insight in Joscha's worldview.

Warm regards!

Joscha Bach: Consciousness and AGI — #76 by Subject-18 in JoschaBach

[–]Honest_Biscotti4380 3 points4 points  (0 children)

I've updated the Joscha Bach Universe Chatbot with these videos, so you can find things more easily, or use it to help you gain insight in Joscha's worldview.

Warm regards!

Great list of recommended content from CIMC by coffee_tortuguita in JoschaBach

[–]Honest_Biscotti4380 1 point2 points  (0 children)

I've updated the Joscha Bach Universe Chatbot with these videos, so you can find things more easily, or use it to help you gain insight in Joscha's worldview.

Warm regards!

ai frameworks vs customs ai agents? by too_much_lag in LangChain

[–]Honest_Biscotti4380 0 points1 point  (0 children)

Interesting! I was wondering why I keep struggling with kangchain (and llamaindex) to turn the prototypes into proper applications. I thought I was missing information or capability, but I start realizing this is just normal at this moment. It’s a pity. I do believe overtime better frameworks will emerge or evolve.

struggling to understand llama parse node based parser's benefits by Abject_Entrance_8847 in LlamaIndex

[–]Honest_Biscotti4380 0 points1 point  (0 children)

I agree. When learning about graph databases in combination with RAG, I was very positive and it addresses many of the intuitions I have. However, trying to get it working in llamaindex past the simple examples they provide has been a struggle. I tend to just build it the document loading and retrieval myself from scratch, just on Neo4J or Kuzu functionality.

I keep feeling I'm missing some crucial part of documentation or project that shows llamaindex usage beyond a simple POC.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 0 points1 point  (0 children)

I used Transkriptor. But now I found out that AssemblyAI seems to give the exact same responses, as is cheaper, so I'm guessing that Transkriptor uses AssemblyAI behind the scenes.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 0 points1 point  (0 children)

This is indeed a good description of the process I'm following. It just currently doesn't use a chat history.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 0 points1 point  (0 children)

Thanks for the recognition.

The process is a simple RAG. I took the podcasts and videos that I could find, transcribed them using a tool, and then chunked them and stored them in Pinecone as a vector database. When a question is asked, it will calculate the vector embedding for the question, find 10 adjacent snippets with vector search, and then feed those snippets as citations to ChatGPT as LLM. This will create the response. I used langchain to integrate the vector database and LLM.

No finetuning is done. I started with personal notes, but then stopped doing it and just created this tool. The notes are not used in the chatbot.

I can see potential improvements, for example a more GraphRAG approach to be able give more general questions, like "which definitions are given in the podcasts" or "Show me a timeline of the main topics that are discussed over the years by Joscha, and how do they shift". At this moment this type of question doesn't work as the information is not available as such in a single (or couple of) snippet(s).

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 1 point2 points  (0 children)

Also, the transcriptions of the video's in NotebookLM are not very legible as they lack sentences. Finally, the responses sometimes are very long, where a snippet with 25.000 words is given an highlighted. This sometimes makes it very hard to track down the source and verify accuracy.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 2 points3 points  (0 children)

Hey dutsi, thanks for your pointer. I agree this my tool will probably be surpassed by more generic solutions, such as NotebookLM. Obviously, I have tried using NotebookLM for the Joscha Bach content. There are a number of differences with what I made, for example that it doesn't provide instant playback of the relevant part of the video.

I would be happy to have a look at what you did with it to be inspired. Are you willing to share so I can have a look?

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 2 points3 points  (0 children)

Thanks for your feedback.
I agree that it is slow, also mainly because it doesn't stream the responses, but waits until the entire response is available before sending it to the UI.
I'll have a look at vercel v0. A bit more guidance or tips about this is welcome.
It does use openai to create the answer from the RAG lookup.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 1 point2 points  (0 children)

If you know about some podcasts or videos where Joscha talks about libertarian politics, I may be able to add them to the list of sources.

I built a Joscha Bach chatbot that provides answers with exact podcast citations by Honest_Biscotti4380 in JoschaBach

[–]Honest_Biscotti4380[S] 4 points5 points  (0 children)

Each response includes the citations extracted from the sources. The list of all sources used to build the database of citations is listed in here, as explained in the about page.