Research Podcast Summaries
Research on Yedapo: 4 summarized podcast and YouTube episodes. Each includes key takeaways, core concepts and notable quotes with timestamps.
Hermes Agent Works Better With Last 30 Days
Eric Tech
Jun 29, 2026
By integrating the 'Last 30 Days' research skill into Hermes agents, you can automatically aggregate data from Reddit, X, YouTube, and Polymarket. This setup enables consistent, high-accuracy market reporting and job tracking without manual intervention.
Key insight: Hermes agents can cross-reference social sentiment with real-money betting data from Polymarket to provide an unbiased 'fear index' for market analysis.
Karpathy's LLM Wiki + This Skill = Game Changer
Eric Tech
May 20, 2026
This workflow automates the ingestion of external data sources like YouTube into a structured Obsidian wiki. By leveraging Andrej Karpathy's LM Wiki concept, it converts raw data into curated research, enabling automated synthesis and querying via LLMs.
Key insight: You can automate the entire lifecycle of research—from fetching data via MCP servers to scheduling weekly synthesis—using a single custom skill.
How to Use NotebookLM (Beginner Tutorial)
Kevin Stratvert
May 11, 2026
NotebookLM allows you to synthesize disparate sources—PDFs, videos, and web pages—into a unified, searchable knowledge base. By anchoring AI responses in your specific content with citations, it minimizes hallucinations and enables rapid project analysis through automated summaries, mind maps, and interactive audio overviews.
Key insight: NotebookLM's 'Audio Overview' feature can generate a conversational, podcast-style discussion from your uploaded documents, turning dry strategic plans into engaging audio summaries.
Deep Research by OpenAI - The Ups and Downs vs DeepSeek R1 Search + Gemini Deep Research
AI Explained
Feb 3, 2025
OpenAI's new Deep Research agent shows remarkable capability in synthesizing obscure data but remains plagued by persistent hallucinations. While it outperforms competitors like DeepSeek R1 and Gemini, its inability to reliably verify facts suggests human oversight remains essential for professional-grade accuracy.
Key insight: The agent frequently forces users into a 'loop' of endless clarifying questions, sometimes struggling to distinguish between needles and screws in its data retrieval process.
