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 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
December 23, 2025

Developer Experience in the Age of AI Coding Agents – Max Kanat-Alexander, Capital One

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from writing to reviewing as the primary engineering activity. As agents generate more code, the human role moves from creator to editor.
  2. The Tactical Edge: Build CLIs for every internal tool to give agents a native text interface. This increases accuracy and speed compared to visual automation.
  3. The Bottom Line: Developer experience is the infrastructure for AI. Investing in clean code and fast feedback loops is the only way to ensure AI productivity gains do not decay over the next 12 months.
See full notes
December 23, 2025

Small Bets, Big Impact Building GenBI at a Fortune 100 – Asaf Bord, Northwestern Mutual

AI Engineer

AI
Key Takeaways:
  1. The Macro Shift: The transition from "Human-in-the-loop" to "Agent-as-the-interface" for enterprise data.
  2. The Tactical Edge: Audit your metadata quality now because LLM accuracy is a direct function of your documentation.
  3. The Bottom Line: Success in enterprise AI is not about the biggest model but about the smallest, most frequent wins that build institutional trust.
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-Productivity Gap. We are entering a period where model intelligence outpaces our ability to integrate it into high stakes production.
  2. Audit your stack. Identify tasks where "good enough" generation is a win versus high context tasks where AI is currently a net negative.
  3. Do not mistake a climbing benchmark for a finished product. For the next year, the biggest wins are not in smarter models but in better verification loops.
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 transition from simple Large Language Models to Reasoning Models marks the end of the stochastic parrot era.
  2. Build agentic workflows that utilize high-context windows for recursive problem solving.
  3. We are moving toward a world where intelligence is a commodity. Your value will shift from knowing things to directing outcomes over the next 12 months.
See full notes

Crypto Podcasts

November 18, 2025

How Pudgy Penguins Could Become a $1,000,000,000 Brand

The DCo Podcast

Crypto
Key Takeaways:
  1. Value is Decoupling from EBITDA. A brand's true worth is increasingly measured by its cultural impact, not just its revenue. Tokenization provides the mechanism to price and trade this cultural capital.
  2. Memecoins are a Feature, Not a Bug. They are the earliest, purest form of tokenized culture, proving that a financial layer can supercharge a community's growth and alignment.
  3. Invest in Cultural Arbitrage. The biggest opportunities are in projects and brands whose cultural influence dramatically outweighs their current financial metrics. This gap between impact and income is where tokenization creates exponential value.
See full notes
November 17, 2025

The Hidden Flaw in Blockchain Design (Dune Analytics)

The DCo Podcast

Crypto
Key Takeaways:
  1. Transparency Is the Best Moderator. Instead of policing content, Dune makes the underlying source code for every analysis public, empowering the community to self-regulate and verify data quality.
  2. Build With the Ethos of the Ecosystem. Dune succeeded by embracing crypto's open-source nature, creating a collaborative platform that felt native to the space, unlike closed-source competitors.
  3. Incentives Don't Have to Be Financial. Reputation, influence, and the ability to contribute to a shared body of knowledge are powerful motivators for community participation in open platforms.
See full notes
November 18, 2025

Bitcoin Breaks $95k, Crypto’s Valuation Problem, & The Path To Real On-Chain Users

Empire

Crypto
Key Takeaways:
  1. **Short Everything But Bitcoin.** The vast majority of crypto assets trade at unjustifiable multiples based on cyclical, speculative revenue. Bitcoin, as a "digital gold" macro hedge, is the only asset with a durable investment thesis that stands apart from the overvalued tech plays.
  2. **The L1 Thesis is Dead.** Investing in L1s is a bet on obsolete infrastructure. Future returns will be captured by killer applications that build real businesses and bring non-speculative users on-chain, not by the commoditized blockspace they run on.
  3. **Acquire Users, Don't Wait For Them.** Crypto's central problem is its failure to grow its user base. The winning strategy is to buy existing businesses with real customers and integrate blockchain technology, thereby acquiring distribution rather than trying to build it from scratch in a hyper-competitive market.
See full notes
November 14, 2025

State of The Market, Monad's ICO & The Stablecoin Gold Rush | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **Corporates are building walled gardens.** Major players are leveraging public chains to create ecosystems they control, launching the "corporate chain meta" where activity is pulled onto proprietary networks like Base.
  2. **Stablecoin M&A is white-hot, but frothy.** The frantic rush to acquire stablecoin infrastructure is driven by stock market optics as much as strategy, echoing the 2017 "add blockchain to your name" craze.
  3. **Capital formation is returning to regulated US platforms.** Monad's ICO on Coinbase, offering zero lockups for US investors, sets a new precedent for compliant token launches and challenges the dominance of offshore exchanges.
See full notes
November 14, 2025

Is The Crypto Bull Market Already Over?

Bankless

Crypto
Key Takeaways:
  1. The Fee Switch Is On. Uniswap's pivot to real-yield tokenomics is a watershed moment. Expect other DeFi protocols to follow, finally aligning token value with protocol success and rewarding long-term holders over mercenaries.
  2. Onshore ICOs Are Back. Coinbase’s new token sales platform for US retail is a massive signal that the industry believes the regulatory tide has turned. This could unlock a new wave of capital and mainstream participation.
  3. Privacy Is A High-Stakes Gamble. While the market is rewarding privacy tokens, the 5-year prison sentence for a wallet developer is a brutal reminder of the risks. Until clear rules are established, building privacy tools in the US remains legally treacherous.
See full notes
November 13, 2025

Hash Rate - Ep 144 - SCORE Subnet 44

Hash Rate pod - Bittensor $TAO & Subnets

Crypto
Key Takeaways:
  1. Privacy is Paramount. SCORE’s use of TEEs for a private data track is the key that unlocks enterprise adoption, proving that decentralized networks can handle sensitive information securely.
  2. The 1/10th Price Model Wins. Leveraging Bittensor’s incentive structure allows subnets to radically undercut legacy competitors on price without sacrificing quality, opening up previously inaccessible markets.
  3. Tie Rewards to Revenue. The most sustainable tokenomic model directly links network emissions to real-world cash flow, ensuring the subnet's economy is grounded in tangible business success, not just speculation.
See full notes