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 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
January 6, 2026

Who Controls AI's Future? The Battle for GPU Access | CoreWeave SVP

Weights & Biases

AI
Key Takeaways:
  1. The transition from general-purpose compute to specialized AI infrastructure mirrors the rise of Snowflake in the data era.
  2. Audit your current cloud spend to identify where generalist latency is throttling your GPU goodput.
  3. Performance bars move every two years. If your infrastructure isn't purpose-built for AI today, you will be priced out of the market tomorrow.
See full notes
January 5, 2026

Welcome to AIE CODE - Jed Borovik, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. The Macro Pivot: The transition from LLMs as chat interfaces to LLMs as logic engines. As models move from text prediction to logic execution, the value moves from the model itself to the verification systems surrounding it.
  2. The Tactical Edge: Audit the stack. Prioritize the integration of agentic coding tools like Jules to shorten the feedback loop between ideation and deployment.
  3. The Bottom Line: Code is the only medium where AI can self-correct and scale without human intervention. The next 12 months will be defined by who can turn raw model power into reliable, self-healing code.
See full notes
January 5, 2026

Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

AI Engineer

AI
Key Takeaways:
  1. Moving from "Model-as-a-Service" to "Environment-as-a-Service" where the harness matters as much as the weights.
  2. Replace your bespoke API tools with a single bash tool. Use a well-structured file system.
  3. The next year belongs to builders who stop treating LLMs as chatbots. They will treat them as system administrators.
See full notes
January 6, 2026

Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel

AI Engineer

AI
Key Takeaways:
  1. The Macro Transition: We are moving from "fire-and-forget" prompts to durable execution environments where state is as important as the model itself.
  2. The Tactical Edge: Wrap your existing tool calls in the `useStep` function to gain instant retry logic and execution history.
  3. The Bottom Line: Reliability is the primary moat in the agent market. Builders who adopt durable workflows will move to production while others are still debugging local scripts.
See full notes
January 6, 2026

Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize

AI Engineer

AI
Key Takeaways:
  1. The move from manual prompt engineering to automated prompt learning. As models become commodities, the proprietary loop that refines them becomes the moat.
  2. Implement a Train-Test Split for your prompts. Use a subset of failure data to generate new rules and validate them against a separate holdout set to ensure the logic holds.
  3. Reliability is the only metric that matters for agent adoption. If you are not using a feedback loop to update your system instructions, you are building on sand.
See full notes
January 6, 2026

The Netflix Culture Code That Changed Entertainment Forever | Reed Hastings Interview

Invest Like The Best

AI
Key Takeaways:
  1. The move from industrial management to creative inspiration. As AI automates routine tasks, the only remaining value is high-variance human creativity.
  2. Apply the Keeper Test today. Ask your leads which team members they would fight for and provide generous exits for the rest to reset your talent bar.
  3. Scaling doesn't require more rules. It requires better people. If you can maintain talent density, you can run fast while your competitors choke on their own handbooks.
See full notes

Crypto Podcasts

July 30, 2025

How The U.S. Controls The Global Economy

Bankless

Crypto
Key Takeaways:
  1. Crypto Is America's Counter-Offensive. The U.S. is betting on privately-issued, regulated stablecoins—not a government-backed digital dollar—to maintain its edge in global payments. This strategy mirrors how it co-opted the offshore Eurodollar market in the 1970s to expand the dollar’s influence.
  2. The Rise of Parallel Systems. The weaponization of the dollar is forcing countries like China to build their own financial infrastructure (e.g., the M-Bridge platform). This guarantees a future where nations have multiple payment networks to choose from, eroding the U.S.’s unique leverage.
  3. Sanctions Are Not a Free Lunch. While a powerful alternative to military conflict, economic sanctions must be used judiciously. Overusing them risks dulling their impact and ultimately dismantling the very system that grants the U.S. its power.
See full notes
July 30, 2025

Can ETH Outperform SOL In 2025?

Lightspeed

Crypto
Key Takeaways:
  1. ETH's Narrative Is Its Near-Term Weapon. ETH's strength lies in a story simple enough for a "dumb banker": massive market cap, 80%+ stablecoin dominance, and the perceived success of its L2s. This makes it an easier buy for TradFi, even if the value accrual thesis is murky.
  2. Solana Is Playing The Long Game. Solana is betting that superior tech will ultimately win. Its focus isn't on the current TradFi narrative but on building the infrastructure for future "internet capital markets," a strategy that requires patience.
  3. Stablecoin Liquidity Is a Vanity Metric. Billions in stablecoins on platforms like Aave don't automatically translate to productive economic activity. The primary use case remains on-chain speculation, challenging the idea that massive liquidity is an end in itself.
See full notes
July 29, 2025

ETH Makes a Comeback While Crypto’s Animal Spirits Revive - Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Ditch the Beta, Pick Your Alts: The days of everything moving in unison are fading. Idiosyncratic returns are back, rewarding investors who can identify projects with strong, sustainable tokenomics.
  2. Beware the Treasury Treadmill: The crypto treasury model is not an "infinite money glitch." Expect premiums to compress and consolidation to begin as the market becomes saturated and the ability to raise capital at a premium wanes.
  3. Tokenization is the Next Frontier: The real institutional play is the rise of "internet capital markets." The tokenization of money market funds by giants like BNY and Goldman will create new, regulated avenues for investment and yield generation on-chain.
See full notes
July 29, 2025

Has ETH/BTC Bottomed?

1000x Podcast

Crypto
Key Takeaways:
  1. Price Action Is the Best Marketing. ETH’s bullish chart has single-handedly revived interest, breaking a long-term downtrend against BTC and forcing even skeptics to reconsider. The technicals are now undeniably strong.
  2. ETH Is Wall Street’s High-Beta Darling. New institutional money, looking for 5-10x returns and limited to what’s available in brokerage accounts, is flowing into ETH as the logical next step down the risk curve from Bitcoin.
  3. Trade Your Conviction. Don't chase a rally you don't understand. Entering a trade based on technicals without a fundamental framework is a recipe for selling the lows when volatility hits. For some, leveraged Bitcoin remains a more coherent trade.
See full notes
July 29, 2025

Why Charles Hoskinson Is Still Actively Involved In Crypto

Empire

Crypto
Key Takeaways:
  1. Crypto as a Political Countermeasure: For Hoskinson, blockchain is the practical tool to enforce the sound money and transparent governance that the US government has abandoned.
  2. The Federal Reserve Is a Core Target: He identifies the Federal Reserve's unchecked power over the monetary supply as a central flaw in the current system, positioning decentralized currencies as a direct challenge to its authority.
  3. A Mission, Not a Job: His daily engagement isn't for financial gain but is driven by the conviction that the fight for a more honest and accountable system is far from over.
See full notes
July 29, 2025

The State Of Solana With Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Tech Over Hype: Solana’s long-term bet is on fundamental technology. Upgrades like Jito’s BAM are designed to create a superior on-chain environment for sophisticated finance, even if it means losing short-term narrative battles to ETH.
  2. The Institutional Gap: Ethereum is currently winning the institutional game with simple, powerful stories around stablecoins and treasury assets. Solana needs a clearer, more accessible pitch beyond raw performance to compete for this capital.
  3. Performance is Non-Negotiable: The Solana ecosystem is doubling down on its high-throughput thesis. Expect a continued push for more blockspace and faster finality, even if it makes running a validator more exclusive. The trade-off is deemed worth it to bring global-scale finance on-chain.
See full notes