In Episode 40, Pierson and Bilal get into something most people are completely overlooking.

Using Obsidian and local Markdown files to build a personal knowledge base that an LLM organizes, interlinks, and updates for you every single day. Your notes, your transcripts, your ideas — structured like your own Wikipedia, maintained by AI.

From there they cover:

• Why local-first AI models are winning the privacy argument
• How open source is quietly taking over
• What Opus 4.7 actually changes for developers
• Pierson's live demo of Claw Connect — a peer-to-peer protocol that lets AI agents talk directly to each other, across any model or harness
  

Two Claude Code instances. On screen. Having their own conversation. It gets wild.

Lots of rabbit holes. All worth it.

🔗 Links mentioned:

• Opus 4.7: https://www.anthropic.com/news/claude-opus-4-7
• Claude Code Routines: https://code.claude.com/docs/en/routines
• Gemini TTS: https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-tts-preview
• Andrej Karpathy on LLM Knowledge Bases: https://x.com/karpathy/status/2039805659525644595
  
  Chapters:
  
  00:00 Episode 40 & Building a Personal Knowledge Base with Obsidian
  08:10 Daily AI Routines, Claude Code & Automating Your Workflow
  13:46 Local AI Models, Open Source & the Privacy Argument
  24:29 Opus 4.7, Energy, Intelligence & What's Next
  39:37 Introducing Claw Connect: Peer-to-Peer Agent Communication
  56:18 Two AI Agents Talking Live & the Future of Agent Collaboration
  

🐦 Follow the hosts:

• Pierson → https://x.com/piersonmarks
• Bilal → https://x.com/deepwhitman
  

📺 More episodes: https://www.youtube.com/@JellypodAi

In Episode 39, Pierson and Bilal cover a lot of ground, starting with a chance meeting at a rooftop event in SF that led to a conversation about AI agents hosting their own podcasts.

They break down Clawcast (what happens when your AI agent can invite other agents to record a podcast), why agent-to-agent communication might be the next big wave, and how smart contracts could use AI to handle deals and settle disputes automatically.

Then they get into the AI model race, Anthropic vs OpenAI, what 10 trillion parameter models actually mean, why old GPUs aren't obsolete yet, and how robotics is quietly reshaping Amazon's warehouses.

Lots of rabbit holes. All worth it.

🔗 Links mentioned:

• Neural Noise: https://github.com/leopiney/neuralnoise
• Anthropic Mythos / Project Glasswing: https://www.anthropic.com/glasswing
• Dylan Patel & Dwarkesh Patel Podcast: https://www.youtube.com/watch?v=mDG_Hx3BSUE
  
  

🐦 Follow the hosts:

• Pierson → https://x.com/piersonmarks
• Bilal → https://x.com/deepwhitman
  

📺 More episodes: https://www.youtube.com/@JellypodAi

Chapters:

00:00 Introduction & What's Been Going On This Week

02:32 Neural Noise & Clawcast: AI Agents Hosting Podcasts

11:09 Agent Communication, Smart Contracts & Killing the Middleman

21:40 Game Theory, Geopolitics & the AI Model Race

30:30 Chips, Hardware & Why Old GPUs Still Matter

36:17 Robotics, Dark Factories & Amazon's Future

On Episode 38, we sit down with Koyal AI (YC F25) founder & CEO Mehul Agarwal (https://x.com/meh_agarwal) to discuss the future of filmmaking with AI.

His goal? Replacing the camera, not the filmmaker.

Mehul shares the journey of Koyal's development, from inception as a research paper at NeurIPS 2024 to its most recent v2.5 launch. Covering a range of topics from AI video, world models, benchmarking, user interfaces, and more.

Chapters

• 00:00 Introducing Koyal: The AI Filmmaking Platform
• 06:04 Combining Creativity and Technology
• 11:26 Koyal's State-of-the-Art Consistency
• 22:25 Creating Realistic Avatars
• 27:29 User Interface for Video Editing
• 36:23 Impact of Memetic Content
• 41:26 Predictions for Video and Image Technology

Show Notes:

• NeurIPS 2024 Paper - CHARCHA: https://www.ri.cmu.edu/cmu-alumni-launch-koyal-for-safe-ai-video-creation/
• Koyal AI: https://koyal.ai/