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

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
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

Crypto Podcasts

February 2, 2026

The Last Companies That Will Ever Exist

Bankless

Crypto
Key Takeaways:
  1. The global economy is transitioning from a "bits" era of digital innovation to an "atoms" era, driven by AI and robotics, where control over physical resources and their efficient deployment becomes the ultimate competitive advantage.
  2. Prioritize investments in companies demonstrating vertical integration across intelligence, energy, and labor, especially those building physical infrastructure and manufacturing capabilities at scale.
  3. The race to acquire the "Infinity Gauntlet" of capitalism is on. Companies that achieve self-sufficiency in intelligence, energy, and labor will redefine economic power, making traditional capital almost irrelevant and creating a new class of unassailable monopolies.
See full notes
February 2, 2026

Logan Jastremski: Solana vs Hyperliquid - Who Wins The Global Exchange Race?

Delphi Digital

Crypto
Key Takeaways:
  1. The global financial system demands 24/7, credibly neutral price discovery. This pushes blockchain architecture beyond raw throughput to geographically optimized, low-latency transaction inclusion, creating a truly global market.
  2. Invest in infrastructure and applications on chains pursuing multi-leader consensus and proprietary AMMs. These designs offer superior price discovery and execution for the next generation of global trading.
  3. The global exchange race is an engineering marathon, not a sprint. While Hyperliquid excels regionally, Solana's architectural bet on physics-defying global fairness aims to become the world's true price oracle, unlocking trillions in new trading volume.
See full notes
February 2, 2026

How to Fix Tokenized Securities with Olivia Olivia Vande Woude from Ava Labs

The Rollup

Crypto
Key Takeaways:
  1. Trust is moving from opaque balance sheets to verifiable, cryptographically enforced infrastructure. This means financial protocols, not just institutions, will increasingly dictate settlement, custody, and compliance.
  2. Prioritize tokenized assets and investment vehicles that offer direct legal claims and verifiable on-chain mechanics. For builders, focus on creating infrastructure that eliminates intermediaries and provides transparent, programmable utility, like vaults.
  3. The future of finance is about verifiable infrastructure and programmable ownership. Understanding the nuances of tokenized security structures and the rise of on-chain vaults will be critical for investors and builders navigating the convergence of traditional finance and DeFi over the next 6-12 months.
See full notes
February 2, 2026

The 1010 Exploit and other broken market structures

The Gwart Show

Crypto
Key Takeaways:
  1. The market is demanding verifiable, transparent, and capital-efficient trading venues that eliminate the hidden risks of centralized intermediaries. This pushes innovation towards fully onchain, unified risk engines.
  2. Explore platforms that integrate multiple DeFi primitives (spot, perp, lending) under a single, onchain risk engine. These venues offer superior capital efficiency and potentially higher risk-adjusted returns for sophisticated strategies like basis trades.
  3. The next wave of DeFi success will come from platforms that solve for capital productivity and verifiable safety, attracting institutional and sophisticated retail capital by offering returns previously unattainable in fragmented or opaque markets.
See full notes
February 1, 2026

Crypto is so Cooked.

Taiki Maeda

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional capital flow dictates market cycles; the current downturn purges weak projects, paving the way for a value-driven recovery.
  2. The Tactical Edge: Identify projects with genuine value accrual, strong fundamentals, and potential for buybacks, preparing to dollar-cost average into these "Carvana" plays.
  3. The Bottom Line: The current "gross" feeling is a signal to strategically deploy capital into long-term, high-conviction assets, rather than short-term trading.
See full notes
February 1, 2026

Looking for Gains Right Now? Crypto Isn’t the Trade — This Is: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Capital is migrating from speculative, long-tail crypto assets to tokenized real-world assets and sophisticated derivatives. This reflects a broader market demand for yield, hedging, and perceived stability.
  2. Explore tokenized commodities (gold, silver) and equity perpetuals for new leverage and yield opportunities. Exercise extreme caution with prediction markets and weekend tokenized equity trading due to information asymmetry and manipulation risks.
  3. The crypto market is maturing beyond pure digital assets, integrating with traditional finance through tokenization and derivatives. Position your portfolio to capture value from this convergence, prioritizing robust liquidity and verifiable information over pure speculation.
See full notes