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Team

Modern Philosophers

Project Concept

Initial idea: We plan to take archive of podcast transcripts and fine tune a (gemma) model on different personalities.
Then use the A2A SDK to start debates between them.
What would Joe Rogan say to Ezra Klein and Lex Fridman?
I also have a mass of structured data from fact checking podcasts on a side project @ podskim.com so maybe we can use that for a reasoning training.
It would be great to train a voice model if someone has that knowhow?
Looking for two more people with ML / fine-tuning or multi-agent chops to join up!
I’m sure the idea will morph tomorrow and very open to more input - everyone has a plan til they get… you know!

Entry

Status: Submitted

Last saved: July 20 at 11:19 AM EDT

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Team Roster

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D C Team Lead RSVP Approved

cto at rikai labs
Game design, agents front-end, APIs, RAG queries, podcast scraping tool
connect to chat about knowledge graphs and making AI apps more fun! moved to NYC from SF in 2025 I've been a technical co-founder at four startups in three continents with two exits. I've worked at multinationals and bootstrapped startups. I'm a hands-on creative coder / designer / product manager leading teams to make new things like: games, social networks, chatbots, ML platforms, APIs and SDKs, crypto games. I make algorithmic art in my spare time
conversational apps, AI and games, collaborative AI+human UIs, graph theory, knowledge graphs, un-structured to structured ontologies
podGraph - knowledge graphs from podcasts lots of hackathon half finished projects! https://dc.rik.ai AI Poker Coach - ping me if you play poker

Dhruv Miyani RSVP Approved

ML Engineer / Founding Member @ AgentPilot Lab at Monit
Machine learning, fine tuning gemma model, GCP deploy models
I'm Dhruv, the first and sole Machine Learning Engineer at Monit, a fintech startup focused on banking innovation. I specialize in turning complex business needs into scalable, production-ready AI systems—especially within finance. I hold an M.S. in Artificial Intelligence from Northeastern University’s Khoury College of Computer Sciences.
Safeguards are needed to ensure safe, trustworthy async agent code changes
As software development accelerates, our workflows remain tethered to the keyboard. But what if coding itself could become asynchronous? How AI voice agents are unlocking a new paradigm of development—one where engineers can initiate, refine, and review code changes without being chained to their IDE. We’ll dive into the human-in-the-loop orchestration model