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

January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. The transition from "vibe coding" to "spec-driven" engineering.
  2. Implement EARS-formatted requirements in your AI prompts.
  3. Determinism is the ultimate feature for AI-assisted development.
See full notes
January 8, 2026

Post-training best-in-class models in 2025

Weights & Biases

AI
Key Takeaways:
  1. Intelligence is decoupling from scale. As reasoning becomes a commodity, the value moves from the size of the model to the proprietary nature of the training data.
  2. Use TRL or Unsloth for single-GPU fine-tuning. Prioritize cleaning your instruction sets over increasing your training iterations.
  3. The future belongs to those who own their data pipelines. If you can distill elite reasoning into a 350M parameter model, you win on latency, cost, and privacy.
See full notes
January 8, 2026

Intelligent Robots in 2026: Are We There Yet? [Nikita Rudin] - 760

The TWIML AI Podcast with Sam Charrington

AI
Key Takeaways:
  1. Moving from Blind Locomotion to Semantic Navigation defines the next frontier.
  2. Prioritize modular architectures that use off-the-shelf VLMs for task orchestration.
  3. Expect the first value-positive humanoid deployments in late 2026.
See full notes
January 8, 2026

Automating Large Scale Refactors with Parallel Agents - Robert Brennan, AllHands

AI Engineer

AI
Key Takeaways:
  1. Software maintenance is moving from a manual craft to an industrial process. As agents handle the toil of migrations and security, human engineers will focus entirely on high-level system design.
  2. Batch by Dependency. Use the OpenHands SDK to visualize your codebase as a graph and deploy agents to solve the leaf nodes first.
  3. Companies that master agent orchestration will clear their tech debt backlogs in weeks instead of years, creating a massive competitive advantage in product velocity.
See full notes
January 8, 2026

DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Software is moving from imperative instructions to declarative goals.
  2. The Tactical Edge: Port your most expensive GPT-4 prompts to DSPy signatures and run them through a BootstrapFewShot optimizer.
  3. The Bottom Line: Brittle prompts are the new technical debt. Building with a declarative framework ensures your system improves as models get cheaper.
See full notes
January 9, 2026

Spec-Driven Development: Sharpening your AI toolbox - Al Harris, Amazon Kiro

AI Engineer

AI
Key Takeaways:
  1. We are moving from probabilistic prompting to neurosymbolic reasoning where the LLM is a component of a larger structured system.
  2. Install MCP servers for your specific documentation and task trackers. Ground your agent in reality to reduce the manual verification loop.
  3. Engineering rigor is returning to the AI era. Builders who adopt structured workflows will outpace those stuck in the "prompt and pray" cycle.
See full notes
January 8, 2026

AI, markets, and power: A conversation with Paul Krugman

Azeem Azhar

AI
Key Takeaways:
  1. Capital is replacing labor as the primary driver of productivity.
  2. Prioritize investments in incumbents with massive distribution or lean startups that swap payroll for compute.
  3. The US remains the primary engine of growth but the internal divide between tech hubs and the hinterland will widen as AI concentrates wealth.
See full notes
January 9, 2026

Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith

Latent Space

AI
Key Takeaways:
  1. The decoupling of parameter count from active compute via sparsity means intelligence is becoming a software optimization problem as much as a hardware one.
  2. Audit your agentic workflows for turn efficiency rather than just cost per token.
  3. In a world of infinite tokens, the winner is the one who can verify the truth the fastest.
See full notes
January 7, 2026

Marc Andreessen's 2026 Outlook: AI Timelines, US vs. China, and The Price of AI

a16z

AI
Key Takeaways:
  1. The transition from "adding machines" to "human cognition" models is an 80-year correction finally hitting the vertical part of the S-curve.
  2. Prioritize application-specific models that backward-integrate into the stack.
  3. AI is a physical and digital build-out that will define the next decade of global power.
See full notes

Crypto Podcasts

May 1, 2025

Hivemind: Does Bitcoin Have More Fuel to Run?

Empire

Crypto
Key Takeaways:
  1. Bitcoin Pause Likely: Expect potential short-term consolidation for Bitcoin as positive news fuel runs low; macro risks remain, but new ATHs are anticipated later this year.
  2. Solana Strong Bet: SOL emerges as the preferred L1 alternative, driven by superior architecture, ecosystem growth, and significant treasury buying pressure on the horizon.
  3. Altcoins Demand Substance: Market rationalization favors projects with realistic valuations and fundamentals; high-beta focus shifts to SOL memes, select strong L1s/apps (SUI, Hype), or SOL ecosystem plays (restaking), competing with leveraged BTC exposure.
See full notes
May 1, 2025

Cambria: The Degen MMO With $1M+ Seasonal Prize Pools

Delphi Digital

Crypto
Key Takeaways:
  1. Real Stakes Drive Engagement: Integrating significant financial risk/reward ($1M+ prize pools) creates intense player engagement, emergent strategies, and social dynamics far exceeding traditional games.
  2. Off-Chain Flexibility is Crucial (For Now): While the dream is fully on-chain, managing multi-million dollar game economies necessitates off-chain components for exploit mitigation, balancing, and analysis, at least in the near term.
  3. Targeting Degens Works: Cambria proves there's a potent market at the intersection of crypto traders and hardcore MMO players who crave high-stakes, economically meaningful gameplay.
See full notes
April 30, 2025

Michael Saylor's Billion Dollar Bitcoin Trade

1000x Podcast

Crypto
Key Takeaways:
  1. **Saylor's Playbook Goes Viral:** The MSTR strategy of leveraging stock premiums to acquire Bitcoin is being actively replicated, potentially fragmenting demand but also increasing overall leveraged exposure.
  2. **Leverage Risk Amplified:** New MSTR-like vehicles often lack an underlying business, making them pure, high-risk leveraged bets on Bitcoin funded by debt, vulnerable to sharp price declines.
  3. **GBTC Déjà Vu:** The rise of these debt-fueled Bitcoin acquisition vehicles strongly echoes the dynamics of the ultimately disastrous GBTC premium trade, signaling caution is warranted as this trend accelerates.
See full notes
April 29, 2025

What's Driving Bitcoin Higher?

1000x Podcast

Crypto
Key Takeaways:
  1. **ETF Flows Are Legit:** The billions pouring into Bitcoin ETFs represent real, broad-based demand, not just arbitrage froth.
  2. **Beware the MSTR Clones:** The rise of leveraged Bitcoin-buying public companies is the biggest near-term systemic risk – watch those premiums.
  3. **RWAs Are Real AF:** Don't sleep on Real World Assets; platforms like Pendle and Maple show explosive growth and represent the next major crypto narrative.
See full notes
April 29, 2025

Should VCs Benchmark Against Bitcoin? | Jon Charbonneau

0xResearch

Crypto
Key Takeaways:
  1. Don't Benchmark VCs Against Bitcoin: It's comparing different asset classes with separate goals and risk profiles.
  2. Use Altcoin Baskets Instead: A weighted average of major altcoins (ETH, SOL, etc.) offers a more relevant performance yardstick for crypto VCs.
  3. Know Your Exposure: LPs seeking Bitcoin returns should buy Bitcoin directly; VC funds offer exposure to the venture-style growth potential of crypto beyond Bitcoin.
See full notes
April 29, 2025

Why BlackRock Is Bullish On Tokenization

Empire

Crypto
Key Takeaways:
  1. Tokenization is Strategic: BlackRock sees tokenizing assets as fundamental to improving market access and efficiency, dedicating significant focus to this path.
  2. Bridging is Key: Practical solutions like ETPs and tokenized funds are crucial tools BlackRock is deploying to connect TradFi users and crypto-native institutions.
  3. Transition Takes Time: The shift to tokenized markets will be gradual, requiring careful management of legacy systems and ensuring interoperability is maintained.
See full notes