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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

Is Bitcoin Underperforming Because a Hedge Fund Blew Up? Here's the Theory

Unchained

Crypto
Key Takeaways:
  1. Bitcoin's market behavior is increasingly dictated by sophisticated derivatives trading and institutional financial engineering, moving beyond historical halving cycles. Understanding TradFi options mechanics is crucial for predicting Bitcoin.
  2. Monitor IBIT options market activity and implied volatility metrics closely, as these drive Bitcoin's short-term price action. Understand and capitalize on volatility mispricings or dealer hedging.
  3. Simple Bitcoin narratives are over. Investors and builders must understand the complex interplay of traditional finance derivatives and market structure to navigate Bitcoin's future price movements over the next 6-12 months.
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February 12, 2026

BlackRock on Uniswap, Chain Wars, and AI Agent Money

Unchained

Crypto
Key Takeaways:
  1. The speculative idea of AI agents driving quadrillions of transactions on crypto rails is rapidly becoming a foundational economic reality. This demand for high-throughput, low-cost, decentralized settlement is forcing a re-evaluation of blockchain architecture and token utility.
  2. Identify and invest in protocols and chains that are demonstrably attracting institutional capital and building infrastructure for AI agent economies, particularly those solving for extreme scalability and near-zero transaction costs.
  3. The next 6-12 months will see a clear bifurcation in the crypto market: assets with genuine utility and institutional adoption will separate from pure meme plays. Simultaneously, the accelerating capabilities of AI will demand increasingly robust and efficient onchain infrastructure, making the intersection of AI and crypto the most critical frontier.
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February 12, 2026

Is The Crash Over?

1000x Podcast

Crypto
Key Takeaways:
  1. The AI revolution is driving a massive capital concentration into infrastructure and asset ownership, creating a stark wealth divide that will likely precede political calls for redistribution.
  2. Invest in hard assets and companies directly supporting AI infrastructure, while actively integrating AI tools into your skillset to become indispensable in your current role.
  3. Position your capital and career now to benefit from the AI-driven wealth transfer, as money is cheap relative to the future value consolidated by AI builders, making this a critical window for strategic allocation.
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February 11, 2026

Robinhood Chain Takes on NYSE/Nasdaq | Robinhood Crypto GM Johann Kerbrat

Bankless

Crypto
Key Takeaways:
  1. Permissionless L2: Robinhood Chain is an open, permissionless Ethereum L2. This means anyone can build on it, contrasting sharply with the closed, proprietary blockchain initiatives from NASDAQ and NYSE.
  2. Financial System Upgrade: Robinhood sees blockchain as a core technology to replace outdated financial systems, enabling 24/7 trading and instant settlement for traditional assets. This vision could fundamentally change how equities and other real-world assets are traded globally.
  3. First User Advantage: Robinhood itself will be the primary user of its chain, customizing it for its needs while allowing other institutions to leverage its infrastructure. This positions Robinhood as both a platform provider and a leading innovator in tokenized finance.
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February 11, 2026

LayerZero Chain Launch, BTC Treasury Co Updates, RockawayX Founder Calls In, Then Messari Research

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: As global monetary systems face increasing instability, institutional capital is seeking transparent, programmable, and yield-bearing alternatives in digital assets. This is driving a "revenue meta" where fundamental value accrual and robust risk management are paramount.
  2. The Tactical Edge: Identify protocols and companies building infrastructure that bridges TradFi and DeFi with verifiable, RWA-backed yields and clear risk parameters. Prioritize those with strong institutional partnerships and a focus on sustainable, exogenous yield sources.
  3. The Bottom Line: The next 6-12 months will see a continued influx of institutional capital into crypto, favoring platforms that offer predictable, risk-managed exposure to digital assets and real-world yields. Builders should focus on robust, transparent infrastructure, while investors should seek out projects with clear value accrual and institutional adoption.
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February 11, 2026

Iron Claw & the Future of Privacy-First AI Agents with NEAR, Dash & Starkware

The Rollup

Crypto
Key Takeaways:
  1. The rise of autonomous AI agents is creating a new economic layer that demands blockchain's trustless execution and privacy guarantees. This shift will reprice traditional SaaS and middleman businesses, favoring direct agent-to-agent commerce.
  2. Invest in infrastructure that provides secure credential management, sandboxed execution, and chain-agnostic payment rails for AI agents. Prioritize protocols actively building post-quantum secure primitives and native account abstraction.
  3. The next 6-12 months will see a rapid acceleration in agentic capabilities and on-chain economic activity. Builders and investors must focus on privacy, security, and interoperability to capture value in this emerging, agent-driven internet.
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