10 Hours of Listening.
5 Minutes of Reading.

Deep dives into the conversations shaping the future of AI, Robotics & Crypto.

Save hours of your time each week with our podcast aggregator

🔍 Search & Filter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

AI Podcasts

December 28, 2025

One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation

Latent Space

AI
Key Takeaways:
  1. The Macro Evolution: Standardized communication layers are replacing custom API integrations. This commoditizes the connector market and moves value to the models that best utilize these tools.
  2. The Tactical Edge: Standardize your internal data tools using MCP servers today. This ensures your company is ready for autonomous agents that can discover and use your resources without manual API integration.
  3. The Bottom Line: The agentic stack is consolidating around MCP. Interoperability is no longer a feature; it is the foundation for the next decade of AI utility.
See full notes
December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The transition from Prompt Engineering to Context Engineering where the goal is keeping the model's workspace small and relevant.
  2. Replace your complex classification prompts with a single Bash tool. Let the agent write its own Python scripts to handle data transformations.
  3. The winners in the agent space will not be those with the most complex logic. They will be the ones who build the best tools for the model to use.
See full notes
December 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: From Model-Centric to Eval-Centric. The value is moving from the LLM itself to the proprietary evaluation loops that keep the LLM on the rails.
  2. The Tactical Edge: Export production traces and build a "Golden Set" of 50 hard examples. Use these to run A/B tests on every prompt change before hitting production.
  3. The Bottom Line: Reliability is the product. If you cannot measure how your agent fails, you haven't built a product; you've built a demo.
See full notes
December 26, 2025

How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. The transition from passive data storage to active agentic execution across both financial and industrial sectors.
  2. Target unsexy legacy industries like mortgage servicing or rare earth processing where the margin for improvement is highest.
  3. 2026 marks the year where software eating the world moves from the screen to the physical supply chain and the autonomous agent.
See full notes
December 26, 2025

⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI

Latent Space

AI
Key Takeaways:
  1. The transition from chatbots with tools to agents that build tools marks the end of the manual integration era.
  2. Stop building custom model scaffolding and start building on top of opinionated agent layers like the Codex SDK.
  3. In 12 months, the distinction between a coding agent and a general computer user will vanish as the terminal becomes the primary interface for all digital labor.
See full notes
December 26, 2025

Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE

Latent Space

AI
Key Takeaways:
  1. Software is moving from a scarce resource produced by humans to a commodity generated by agentic swarms.
  2. Move beyond simple chat interfaces and start experimenting with agentic loops plus MCP servers to automate entire workflows.
  3. The AI Engineer is the new F1 driver of tech. Mastery of the tool belt matters more than the ability to build the car from scratch.
See full notes
December 24, 2025

METR's Benchmarks vs Economics: The AI capability measurement gap – Joel Becker, METR

AI Engineer

AI
Key Takeaways:
  1. The Capability-Utility Gap is widening. We see a divergence where models get smarter but the friction of human-AI collaboration keeps productivity flat.
  2. Deploy AI for mid-level engineers or low-context tasks. Avoid forcing AI workflows on your top seniors working in complex legacy systems.
  3. The next year will focus on reliability over raw intelligence. The winners will have models that require the least amount of human babysitting.
See full notes
December 24, 2025

PhD Bodybuilder Predicts The Future of AI (97% Certain) [Dr. Mike Israetel]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Shift: Scaling laws are hitting a diminishing return on raw data but a massive acceleration in reasoning. The shift from statistical matching to reasoning agents happens when models can recursively check their own logic.
  2. The Tactical Edge: Build for the agentic future by prioritizing high-context data pipelines. Models perform better when you provide massive context rather than relying on zero-shot inference.
  3. The Bottom Line: We are 24 months away from AI that makes unassisted human thought look like navigating London without a map. Prepare for a world where the most valuable skill is directing machine agency rather than performing manual logic.
See full notes
December 23, 2025

Continual System Prompt Learning for Code Agents – Aparna Dhinakaran, Arize

AI Engineer

AI
Key Takeaways:
  1. The transition from model-centric to loop-centric development. Performance is now a function of the feedback cycle rather than just the weights of the frontier model.
  2. Implement an LLM-as-a-judge step that outputs a "Reason for Failure" field. Feed this string directly into a meta-prompt to update your agent's system instructions automatically.
  3. Static prompts are technical debt. Teams that build automated systems to iterate on their agent's instructions will outpace those waiting for the next model training run.
See full notes

Crypto Podcasts

July 26, 2025

Hivemind: Ethena Founder, the GENIUS Act & Overvalued L1s

Empire

Crypto
Key Takeaways:
  1. **The Real Cycle Indicator:** Forget price targets. The bull market's health is directly tied to the premium-to-NAV on crypto treasury vehicles. When those premiums collapse, the party is over.
  2. **L1s Are Dead Money:** The dominant thesis is a massive market re-rating where capital flees overvalued L1 infrastructure and concentrates into Bitcoin and a handful of cash-flow-positive applications.
  3. **Stablecoins Aren't a Commodity:** The moats are deep. New issuers will struggle to compete with Tether's liquidity network effects and Ethena's structural yield advantage, making it a bear market for new stablecoin startups.
See full notes
July 26, 2025

Base Just Launched Crypto's Everything App | Jesse Pollak

Bankless

Crypto
Key Takeaways:
  1. Content is the New Capital: The Base App transforms every post into a tradable asset. This makes content creation a direct form of capital formation, rewarding creators for attention in a way that’s native to the internet of value.
  2. The Rise of the Native Creator: The biggest winners on Base won't be Web2 transplants, but new creators who master the platform's unique blend of content and commerce. The strategy is to find and elevate undiscovered talent from every vertical.
  3. From Algorithm to Free Market: Base is trading the black box of social media algorithms for the transparent chaos of a free market. The central experiment is whether market-based incentives can build a healthier, more aligned social network.
See full notes
July 25, 2025

Crypto Hits Record $4 Trillion Marketcap BUT We're Just Getting Started

Bankless

Crypto
Key Takeaways:
  1. **ETH is the New Institutional Primitive.** The "ETH Treasury" model is a new unlock, leveraging ETH's native yield to create a self-financing acquisition engine that is attracting billions in institutional capital.
  2. **The Floodgates Are Open.** The Genius Bill and explosive ETF inflows are not just bullish signals; they are structural shifts that are unleashing a torrent of capital and legitimizing the asset class for mainstream finance.
  3. **Risk is Ramping.** The excitement is palpable, but so is the risk. The treasury meta feels like a potential bubble, and legal threats against core DeFi and infrastructure remain a significant overhang. Buyer beware.
See full notes
July 24, 2025

Hash Rate - Ep 123 - YUMA's Big Bittensor Bet

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. The Playbook is Proven. YUMA is running DCG's time-tested Bitcoin strategy on Bittensor—solving access, building infrastructure, and investing to catalyze the entire ecosystem.
  2. The Arbitrage is Complexity. Subnets are wildly undervalued compared to Web2 counterparts. The friction to invest creates a massive opportunity for sophisticated players and platforms (like YUMA and Sturdy) that can simplify it.
  3. The Moat is More Than Code. Bittensor's defense isn't just its protocol. It’s the flywheel of token incentives, a deeply committed community, and a decade-long head start on solving hard problems—a combination that capital alone can't easily replicate.
See full notes
July 24, 2025

Why I Ditched Bitcoin Mining for Ethereum

Bankless

Crypto
Key Takeaways:
  1. **The Bitcoin Mining Business is Broken.** The model of guaranteed profit-halving and a relentless hardware arms race is unsustainable, forcing miners to pivot to more viable ventures like AI infrastructure or ETH staking.
  2. **Ethereum's Target is 10x Bigger Than Bitcoin's.** Ethereum isn't competing with Bitcoin; it's competing with the multi-trillion-dollar traditional finance industry. Its utility in powering stablecoins and DeFi makes its total addressable market exponentially larger.
  3. **A New "Race to a Billion" in ETH Has Begun.** The new competitive arena for public crypto companies is the ETH treasury. Success hinges on aggressive acquisition, capturing investor mindshare, and—critically—generating superior, risk-adjusted yield through staking.
See full notes
July 23, 2025

Exposing Crypto Market Makers With Matt Jobbé-Duval

Lightspeed

Crypto
Key Takeaways:
  1. **The Playbook is a Trap.** So-called "active market making" is a destructive financing loop. Projects trade their future for a brief, artificial price pump fueled by selling locked tokens at catastrophic discounts.
  2. **Perps Are the Canary in the Coal Mine.** A sudden, plummeting perpetual futures funding rate is a massive red flag. It often signals that insiders are rushing to hedge their positions before an imminent and devastating spot price collapse.
  3. **Your Chart Is Your Reputation.** Once a token's chart is destroyed by one of these schemes, it becomes incredibly difficult to be taken seriously by the community, investors, or builders, leaving a permanent stain on the project's credibility.
See full notes