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AI Podcasts

December 31, 2025

[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute

Latent Space

AI
Key Takeaways:
  1. The transition from monolithic models to compound systems means the value is migrating to the orchestration and context layer.
  2. Prioritize tools like DSPy and context management frameworks to build high-leverage applications that do not depend on proprietary model updates.
  3. Open research is the only way to maintain a competitive edge. If the US stops publishing, it stops leading.
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December 31, 2025

Infinity, Paradoxes, Gödel Incompleteness & the Mathematical Multiverse | Lex Fridman Podcast #488

Lex Fridman

AI
Key Takeaways:
  1. From Singular Logic to Pluralistic Systems. As we build complex AI, we must move from seeking one "correct" model to managing a multiverse of conflicting but internally consistent logical frameworks.
  2. Audit for Incompleteness. When designing protocols, identify the "independent" variables that your system cannot prove or settle internally.
  3. Truth is bigger than code. Over the next year, the winners will be those who stop trying to "solve" the universe and start navigating the multiverse of possible truths.
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December 31, 2025

AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)

a16z

AI
Key Takeaways:
  1. Outcome-Based Intelligence. We are moving from AI as a Service to AI as an Outcome where value is tied to results rather than usage.
  2. Target Non-Public Data. Build applications in sectors like law or lending where the most valuable data is private and un-crawlable.
  3. The next two years will separate companies that use AI to save pennies from those that use AI to capture entire markets through autonomous systems and proprietary data loops.
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December 30, 2025

Your Brain Doesn't Command Your Body. It Predicts It. [Max Bennett]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The macro pivot: The transition from static data training to interactive world models that perform active inference.
  2. The tactical edge: Prioritize AI architectures that incorporate continual learning and hypothesis testing rather than just scaling parameters.
  3. The next decade belongs to those who replicate the biological transition from observation to interactive simulation.
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December 31, 2025

The Algorithm That IS The Scientific Method [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Transition: Move from Big Data mimicry to Small Data causal reasoning.
  2. The Tactical Edge: Prioritize Active Inference frameworks that track uncertainty.
  3. AGI won't come from bigger LLMs; it will come from agents that possess a physics-grounded world model.
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December 30, 2025

[State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify

Latent Space

AI
Key Takeaways:
  1. The transition from stateless chat interfaces to stateful, personalized agents that learn from every interaction.
  2. Prioritize memory. If you are building an application, treat state management and continual learning as your core technical moat to prevent user churn.
  3. Stop chasing clones of existing apps for reinforcement learning. Use real-world logs and traces to build models that solve actual engineering friction.
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December 30, 2025

[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor

Latent Space

AI
Key Takeaways:
  1. The transition from internet-scale imitation to environment-scale RL.
  2. Build products that capture the full context of a professional's workflow to make them RL-ready.
  3. Intelligence is no longer the bottleneck. The winner will be whoever builds the best hard drive for professional context.
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December 31, 2025

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Latent Space

AI
Key Takeaways:
  1. The Macro Pivot: Intelligence is moving from a scarce resource to a commodity where the primary differentiator is the cost per task rather than raw model size.
  2. The Tactical Edge: Prioritize building on models that demonstrate high token efficiency to ensure your agentic workflows remain profitable as complexity grows.
  3. The Bottom Line: The next year will be defined by the systems vs. models tension. Success belongs to those who can engineer the environment as effectively as the algorithm.
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December 31, 2025

[State of Evals] LMArena's $100M Vision — Anastasios Angelopoulos, LMArena

Latent Space

AI
Key Takeaways:
  1. The transition from static benchmarks to "Vibe-as-a-Service" means model labs must optimize for human delight rather than just loss curves.
  2. Use Arena’s open-source data releases to fine-tune models on real-world prompt distributions.
  3. In a world of synthetic data and benchmark saturation, human preference is the only remaining scarce resource for validating frontier capabilities.
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Crypto Podcasts

November 24, 2025

How to Trade Crypto Cycles with Raoul Pal

Empire

Crypto
Key Takeaways:
  1. Stop Obsessing Over the Halving. The four-year cycle is a narrative, not a driver. The real signal is the macro business cycle, driven by debt refinancing and central bank liquidity. Track the ISM index: historically, buying below 50 and selling above 57 has been a winning strategy.
  2. Invest in Networks, Not Spreadsheets. Value crypto protocols based on network effects (active users and transaction value), not discounted cash flows. The long-term bet is on the growth of the network itself, as this is where wealth has compounded most dramatically.
  3. Survive to Compound. Structure your portfolio to withstand volatility. Have external cash flow so you’re never a forced seller, and take "lifestyle chips" off the table during rallies to manage psychological stress. Drawdowns are a feature, not a bug—use them to add to your long-term positions.
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November 24, 2025

The Real Crypto Cycle: What Happens When Global Liquidity Peaks

Bankless

Crypto
Key Takeaways:
  1. **The Trend is Up, The Cycle is Peaking.** Relentless government spending ensures long-term monetary inflation, making assets like Bitcoin and gold essential core holdings. However, the 65-month cycle is nearing its peak, signaling a time to reduce risk and prepare for turbulence.
  2. **Own Both Sides of the Capital War.** The future is a bipolar monetary world. An optimal portfolio holds both Bitcoin (representing the US digital collateral system) and gold (representing China’s hard money strategy) to hedge against persistent inflation from both sides.
  3. **Watch the Repo Market for the Spark.** The immediate flashing red light is in the repo markets, where interest rate spreads are blowing out. An unwind of leveraged positions here could be the catalyst that ends the current cycle, creating a prime buying opportunity for patient, long-term investors.
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November 21, 2025

Market Sell Off, State of Crypto VC & Why Your Coin Isn't Pumping | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Fundamentals Are Coming Home to Roost. Valuations for Layer 1s are untethered from reality. Scrutinize value-capture mechanisms and stop treating staking rewards as revenue.
  2. Follow the Smart Money's Feet, Not Their Mouths. While headlines scream adoption, crypto VCs are quietly pivoting to AI and fintech. This "disbelief" phase in venture often precedes a broader market bottom.
  3. Macro Is the Main Character. Crypto is still on the far end of the risk curve. The sell-off is a macro-driven flight to safety, not a crypto-specific crisis. Until liquidity returns, expect continued correlation with traditional markets.
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November 21, 2025

Is It All Over? What The Markets Are Saying For 2026

Bankless

Crypto
Key Takeaways:
  1. The Four-Year Cycle is Dead. The market is no longer driven by simple cyclical hype. Macro headwinds and competition for attention from AI mean investors must focus on projects with demonstrable utility, not just memetic potential.
  2. Ethereum Gets Pragmatic. The Ethereum ecosystem is ditching idealism for execution, re-focusing on scaling its core infrastructure (L1) and building products with clear, real-world use cases for both consumers and institutions.
  3. Institutions are Buying the Dip. Don't mistake retail fear for institutional exit. From Harvard's massive ETF allocation to Kraken's IPO plans, smart money is using the downturn to secure its position in the industry's foundational layers.
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November 20, 2025

Hivemind: Can Crypto Bounce, Monad's ICO & The Perp Opportunity

Empire

Crypto
Key Takeaways:
  1. Capital Efficiency Is King. In the perps world, platforms offering unified margin will win. Aggregators that fragment capital are a structural disadvantage, making trading terminals the more logical endgame.
  2. Onboard Hobbies, Not Traders. Crypto’s growth depends on moving beyond unsustainable, zero-sum trading narratives. The next million users will be onboarded through "hobbyified" social and entertainment apps, not another DEX.
  3. Cash Now, Builders Later. In this environment, cash is king. Use this quiet period to identify teams grinding through the bear market, especially those with performance-locked incentives like MetaDAO projects. They are the asymmetric bets of the next cycle.
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November 20, 2025

The Future of Institutional Crypto (What Banks Actually Need)

The DCo Podcast

Crypto
Key Takeaways:
  1. **Solve the Privacy Bug.** Institutions will not move sensitive operations onto fully transparent ledgers. The future is permissioned visibility, where regulators and involved parties can see data, but the public cannot.
  2. **Composability is the Killer App.** The true unlock for on-chain finance is the ability to atomically combine different assets and workflows without operational risk. Fragmented L2s endanger this core value proposition.
  3. **The Next Wave is Capital Markets Infrastructure.** The long-term moat for any network targeting institutional finance is not just its tech, but its ecosystem of interconnected banks, funds, and market makers operating in a compliant, private environment.
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