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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

May 27, 2025

Travis Millott: Tao Templar, Bittensor Subnets, Dynamic Tao, Mining, Crypto Education | Ep. 44

Ventura Labs

Crypto
Key Takeaways:
  1. Dynamic Tao is High-Risk: Approach investments with extreme caution; the market is volatile, and significant capital loss is a tangible risk.
  2. Embrace Unpredictable Innovation: Bittensor's core value lies in its capacity to generate unforeseen, groundbreaking solutions from a global, permissionless, and competitive talent pool.
  3. Substrate Chain Decentralization is Critical: The successful decentralization of Bittensor's foundational layer is a paramount upcoming milestone for its long-term viability, security, and censorship resistance.
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May 26, 2025

The Bitcoin Treasury Playbook With Tyler Evans & Josh Solesbury

Empire

Crypto
Key Takeaways:
  1. Global Takeover: Bitcoin treasury strategies are rapidly globalizing, creating new Bitcoin-proxy investment vehicles in numerous capital markets.
  2. Investor Vigilance: While "Bitcoin plus" returns are alluring, investors must critically assess MNAV multiples and beware of highly leveraged companies lacking strong, transparent leadership.
  3. Reverse Tokenization is Real: Crypto assets are increasingly entering traditional finance via these public companies, fundamentally changing institutional access and perception.
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May 26, 2025

Why Analysts Are Valuing ETH All Wrong

Bankless

Crypto
Key Takeaways:
  1. **L1s are Money, Not Stocks:** Stop trying to fit square pegs (L1s) into round holes (DCF models for companies). Their value accrues like money, through network effects and demand for their monetary properties.
  2. **RSOV is Your New Lens:** Use RSOV to gauge the "stickiness" of capital in an L1 ecosystem. A growing RSOV suggests a strengthening monetary base and potentially a rising valuation floor.
  3. **ETH's RSOV Story:** ETH, when viewed through the RSOV lens, appears undervalued relative to assets like Bitcoin, especially considering catalysts like EIP-4844 ("proto-danksharding") and the growth of its L2 ecosystem, which drives ETH's use as a store of value.
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May 23, 2025

Entering Ethereum’s New Era | Tomasz Stańczak

Bell Curve

Crypto
Key Takeaways:
  1. Aggressive Scaling is Non-Negotiable: The EF is committed to exponential L1 scaling to support a vastly larger on-chain economy.
  2. TradFi Integration is Here: Ethereum is the prime venue for tokenizing real-world assets, bridging traditional finance with decentralized systems.
  3. A Renewed "Winning" Culture: The EF is adopting a more proactive, delivery-focused approach to ensure Ethereum's continued leadership and impact.
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May 23, 2025

Entering Ethereum’s New Era | Tomasz Stańczak

Empire

Crypto
Key Takeaways:
  1. Aggressive Execution: The Ethereum Foundation is adopting a "winning" mindset, prioritizing product delivery, engineering excellence, and rapid scaling (e.g., 3x annual gas limit increases).
  2. Deepening Capital Markets: Ethereum is solidifying its position as the primary settlement layer for RWAs and the burgeoning on-chain finance sector, attracting significant institutional interest.
  3. Innovation Frontier: Expect new waves of innovation in NFTs (tied to RWAs and AI) and enhanced L2 interoperability, driven by advancements like real-time ZK proofs.
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May 23, 2025

What’s Next for Our Precious Stablecoins?

blocmates.

Crypto
Key Takeaways:
  1. Stablecoin Shake-Up Looms: Circle's potential sale to Coinbase or Ripple could either fortify Tether's dominance or usher in a new, more controlled USDC, fundamentally altering the competitive landscape.
  2. Decentralization vs. Control: The Sui network freeze post-hack forces a hard look at crypto's soul—is absolute decentralization viable, or will pragmatic interventions become the norm?
  3. Institutional Inflows Demand Real Value: Beyond Bitcoin, the survival and growth of stablecoins and altcoins hinge on delivering tangible utility and robust security, not just speculative narratives.
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