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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 1, 2025

Hivemind: Does Bitcoin Have More Fuel to Run?

Empire

Crypto
Key Takeaways:
  1. Bitcoin Pause Likely: Expect potential short-term consolidation for Bitcoin as positive news fuel runs low; macro risks remain, but new ATHs are anticipated later this year.
  2. Solana Strong Bet: SOL emerges as the preferred L1 alternative, driven by superior architecture, ecosystem growth, and significant treasury buying pressure on the horizon.
  3. Altcoins Demand Substance: Market rationalization favors projects with realistic valuations and fundamentals; high-beta focus shifts to SOL memes, select strong L1s/apps (SUI, Hype), or SOL ecosystem plays (restaking), competing with leveraged BTC exposure.
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May 1, 2025

Cambria: The Degen MMO With $1M+ Seasonal Prize Pools

Delphi Digital

Crypto
Key Takeaways:
  1. Real Stakes Drive Engagement: Integrating significant financial risk/reward ($1M+ prize pools) creates intense player engagement, emergent strategies, and social dynamics far exceeding traditional games.
  2. Off-Chain Flexibility is Crucial (For Now): While the dream is fully on-chain, managing multi-million dollar game economies necessitates off-chain components for exploit mitigation, balancing, and analysis, at least in the near term.
  3. Targeting Degens Works: Cambria proves there's a potent market at the intersection of crypto traders and hardcore MMO players who crave high-stakes, economically meaningful gameplay.
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April 30, 2025

Michael Saylor's Billion Dollar Bitcoin Trade

1000x Podcast

Crypto
Key Takeaways:
  1. **Saylor's Playbook Goes Viral:** The MSTR strategy of leveraging stock premiums to acquire Bitcoin is being actively replicated, potentially fragmenting demand but also increasing overall leveraged exposure.
  2. **Leverage Risk Amplified:** New MSTR-like vehicles often lack an underlying business, making them pure, high-risk leveraged bets on Bitcoin funded by debt, vulnerable to sharp price declines.
  3. **GBTC Déjà Vu:** The rise of these debt-fueled Bitcoin acquisition vehicles strongly echoes the dynamics of the ultimately disastrous GBTC premium trade, signaling caution is warranted as this trend accelerates.
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April 29, 2025

What's Driving Bitcoin Higher?

1000x Podcast

Crypto
Key Takeaways:
  1. **ETF Flows Are Legit:** The billions pouring into Bitcoin ETFs represent real, broad-based demand, not just arbitrage froth.
  2. **Beware the MSTR Clones:** The rise of leveraged Bitcoin-buying public companies is the biggest near-term systemic risk – watch those premiums.
  3. **RWAs Are Real AF:** Don't sleep on Real World Assets; platforms like Pendle and Maple show explosive growth and represent the next major crypto narrative.
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April 29, 2025

Should VCs Benchmark Against Bitcoin? | Jon Charbonneau

0xResearch

Crypto
Key Takeaways:
  1. Don't Benchmark VCs Against Bitcoin: It's comparing different asset classes with separate goals and risk profiles.
  2. Use Altcoin Baskets Instead: A weighted average of major altcoins (ETH, SOL, etc.) offers a more relevant performance yardstick for crypto VCs.
  3. Know Your Exposure: LPs seeking Bitcoin returns should buy Bitcoin directly; VC funds offer exposure to the venture-style growth potential of crypto beyond Bitcoin.
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April 29, 2025

Why BlackRock Is Bullish On Tokenization

Empire

Crypto
Key Takeaways:
  1. Tokenization is Strategic: BlackRock sees tokenizing assets as fundamental to improving market access and efficiency, dedicating significant focus to this path.
  2. Bridging is Key: Practical solutions like ETPs and tokenized funds are crucial tools BlackRock is deploying to connect TradFi users and crypto-native institutions.
  3. Transition Takes Time: The shift to tokenized markets will be gradual, requiring careful management of legacy systems and ensuring interoperability is maintained.
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