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AI Podcasts

December 29, 2025

Beyond the Code: The Books That Shaped the Minds of AI Leaders

Turing Post

AI
Key Takeaways:
  1. The transition from technology push to market pull requires builders to stop focusing on the stack and start obsessing over user psychology.
  2. Apply the Mom Test by asking users about their current workflows instead of pitching your solution. This prevents building expensive features that nobody uses.
  3. The next decade of AI will be won by those who understand the human condition as deeply as they understand the transformer architecture.
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December 29, 2025

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Moving from "In-Context Learning" to "Weight-Based Memory" to bypass the quadratic costs of attention.
  2. The Tactical Edge: Use synthetic data generation to augment your fine tuning sets and prevent the model from forgetting its base knowledge.
  3. RAG is a stopgap. The long term winners will be those who build "neural file systems" where the model inherently knows the data.
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December 29, 2025

Where does consumer AI stand at the end of 2025?

a16z

AI
Key Takeaways:
  1. The "Everything App" is a myth. We are moving from general chat boxes to agentic workspaces that operate across your entire software stack.
  2. Build opinionated. Use the current model quality to solve one specific, high-value workflow rather than competing for the general assistant crown.
  3. 2026 is the year of the builder. The infrastructure is ready, the compute tension is real for Labs, and the market is hungry for products with a soul.
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December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The Macro Movement: The transition from AI as a feature to AI as a headless operator using terminal-based agents.
  2. The Tactical Edge: Replace complex classification DAGs with simple tool-calling loops to reduce technical debt.
  3. The Bottom Line: The future of software development is not better IDEs but better headless agents that treat the entire OS as a tool.
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December 26, 2025

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

AI Engineer

AI
Key Takeaways:
  1. The transition from deterministic software to probabilistic agents requires a move from "vibe coding" to data-driven development.
  2. Build a "golden" data set of 50 hard examples. Use these to test every prompt change before pushing to production.
  3. Reliability is the only moat left in a world of commoditized models. Evals are the bridge to that reliability.
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December 27, 2025

AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside

AI Engineer

AI
Key Takeaways:
  1. Software development is moving from a manual craft to an automated output of vertically integrated intelligence stacks.
  2. Monitor the public API release early next year to replace generic LLMs with specialized coding intelligence.
  3. The winners of the next decade will build on platforms that treat compute as a raw commodity and intelligence as the final product.
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December 26, 2025

What I learned at the frontier of tech in 2025 (Kelly, Cowen, Wang, Prince)

Azeem Azhar

AI
Key Takeaways:
  1. The Macro Pivot: The transition from weightless software to energy-heavy hardware.
  2. The Tactical Edge: Stop building "wrappers" for model weaknesses.
  3. The Bottom Line: AI value is moving from the model to the grid and the individual reputation.
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December 26, 2025

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

a16z

AI
Key Takeaways:
  1. The Macro Shift: The Great Re-architecting. As legacy software moats evaporate and industrial supply chains reshore, value is migrating from passive data storage to active execution layers.
  2. The Tactical Edge: Target Archaic Verticals. Identify high-friction industries like mortgage servicing or IT support where the distance between intent and execution is currently measured in days.
  3. The Bottom Line: The next two years will reward those who build systems of action that replace human labor with autonomous agents and software-defined hardware.
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December 27, 2025

Why Scientists Can't Rebuild a Polaroid Camera [César Hidalgo]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Trend: Economic complexity predicts growth better than current GDP. Capital will move toward "high-letter" economies like India and Indonesia.
  2. The Tactical Edge: Prioritize team retention over documentation. Since knowledge is embodied, losing a core team is equivalent to deleting the source code.
  3. The Bottom Line: Success in the next decade belongs to those who treat knowledge as a living network rather than a digital asset.
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Crypto Podcasts

February 12, 2026

Santiago Santos: My New Crypto Investing Playbook

The Rollup

Crypto
Key Takeaways:
  1. The investment focus must shift from foundational layers to the services built on top.
  2. Prioritize investments in public equities of companies that actively use crypto infrastructure or in private equity of crypto-native applications with strong, centralized teams capable of rapid decision-making and direct value reinvestment into their token.
  3. The market is increasingly discerning between tokens that compound value and those that do not.
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February 12, 2026

Is Nic Carter Right? How Serious Is Bitcoin's Quantum Risk?

Unchained

Crypto
Key Takeaways:
  1. The quantum threat forces a re-evaluation of cryptographic foundations, pushing blockchains towards more robust, future-proof designs. This shift is not just about defense but about positioning for long-term institutional trust and capital.
  2. Prioritize chains actively researching and implementing post-quantum solutions, especially those with clear migration roadmaps and a willingness to adapt core protocols.
  3. The race to quantum-proof crypto is on. Chains that act decisively now will secure their future, attract significant capital, and potentially set new industry standards, while those that delay risk systemic failure.
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February 13, 2026

Coinbase Earnings, Bitcoin vs Tech, and Crypto’s Quantum Threat

Unchained

Crypto
Key Takeaways:
  1. AI's compute demand reshapes infrastructure, pulling Bitcoin miners into stable new business models while forcing crypto to confront an existential quantum threat.
  2. Prioritize chains and protocols investing in post-quantum cryptography, focusing on clear migration roadmaps and robust hash- or lattice-based solutions.
  3. The next 6-12 months will clarify miner AI contracts, Bitcoin's market correlation, and quantum upgrade urgency. Position your portfolio and research towards projects showing foresight and execution.
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February 12, 2026

This Is Crypto’s Biggest Bottleneck (and LI.FI Solves It)

The DCo Podcast

Crypto
Key Takeaways:
  1. The fragmentation of crypto liquidity across chains demands a unified, programmable interface for complex user strategies. LI.FI's VM and transaction rail are building this composable layer, abstracting away the underlying complexity.
  2. Investigate protocols building on LI.FI's infrastructure for streamlined multi-chain operations. For tokenized asset issuers, prioritize integration with platforms offering broad wallet distribution like LI.FI.
  3. The future of crypto involves seamless multi-chain interactions and widespread tokenized asset adoption. LI.FI's innovations position them as a core enabler, making sophisticated DeFi accessible and driving liquidity to new assets over the next 6-12 months.
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February 13, 2026

Dispersion Is Exploding While Main Street Reaccelerates | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. The era of easy, broad-market gains from passive investing is ending. Unprecedented AI capital expenditure is driving a wedge between tech and tangible assets, forcing a re-evaluation of traditional correlations and creating a bifurcated market where "real things" with fixed supply constraints are gaining favor over software-driven growth. This shift is also revealing a quiet reacceleration in Main Street economics, previously masked by top-tier spending.
  2. Adopt a long-short, beta-neutral approach to capitalize on extreme market dispersion. Identify and invest in "bottleneck" assets (e.g., metals, energy, manufacturing inputs) that are essential for AI infrastructure and have inelastic supply, while selectively shorting or avoiding overvalued software companies facing existential threats from AI.
  3. The market is undergoing a fundamental re-rating. Capital will increasingly flow from over-indexed, high-multiple digital assets to under-owned, supply-constrained physical assets. Ignoring this "flipping of the boat" means missing out on significant alpha and risking capital in sectors facing structural headwinds.
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February 12, 2026

What Does AI Mean For Your Future?

1000x Podcast

Crypto
Key Takeaways:
  1. AI is driving a rapid, unprecedented capital concentration into a select group of companies and hard assets, creating a bifurcated economic reality where skilled labor gains leverage while low-skill labor faces immediate displacement.
  2. Invest in the "picks and shovels" of the AI boom: the companies building data centers, providing energy, and offering specialized services to this infrastructure. For individuals, become an AI-fluent, indispensable contributor in your field.
  3. The next 3-4 years are a critical window. Position your finances and career now to capitalize on the AI-driven wealth transfer and avoid being left behind as economic value consolidates at an accelerating pace.
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