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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 13, 2025

Bits + Bips LIVE: US-China Tariff Deal Reignite Markets

Unchained

Crypto
Key Takeaways:
  1. Tariff Truce is Tactical: The 90-day US-China tariff pause offers temporary relief, but the underlying trade war isn't over; expect continued market sensitivity to policy shifts.
  2. Bitcoin's Macro Moment: Bitcoin's strong performance amidst geopolitical and economic uncertainty solidifies its narrative as a non-sovereign store of value and a crucial portfolio diversifier.
  3. Crypto Regs on Horizon: Despite DC's legislative snags, the potent combination of crypto industry lobbying and perceived national benefits (like stablecoins aiding deficit financing) makes eventual regulation highly probable.
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May 12, 2025

Apps Are Taking Over Crypto | 6th Man Ventures

0xResearch

Crypto
Key Takeaways:
  1. Apps Over Infra: The investment pendulum is swinging decisively towards applications that can onboard millions and generate real revenue, marking a shift from the "fat protocol" to the "fat app" era.
  2. Ecosystems are King: Choice of blockchain (Solana, Base leading for consumer) is critical; building on unproven chains is a gamble few startups can afford. Expect consolidation.
  3. Revenue & Vision Rule: Success stories like Pump.fun highlight that agile teams with a broad vision beyond niche crypto use cases (and real revenue) will capture significant market share.
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May 12, 2025

How To Build The Most Performant L1

Lightspeed

Crypto
Key Takeaways:
  1. Performance First, Decentralization Follows: L1s that prioritize and achieve superior performance will attract the most activity, leading to higher revenues and, consequently, a greater number of incentivized, decentralized validators.
  2. Profit Over Philanthropy: Forget "running a node for the cause"; long-term decentralization hinges on validators earning more than they spend. Net income is king.
  3. Solana's Uncapped Potential: Solana's design aims to break the mold by enabling an ever-increasing number of validators without sacrificing its high-speed performance, offering a path to maximal decentralization.
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May 10, 2025

Crypto Market Makers EXPOSED: Inside the $38M Move Token Dump - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. **Red Flag Deals:** "Profit-share dump" incentives, as seen with Movement, are distinct from standard, healthier market maker compensation and warrant extreme investor caution.
  2. **Transparency is Non-Negotiable:** Public disclosure of market maker terms (loan size, strike prices) is crucial for informed retail decision-making and market integrity.
  3. **Vet Your Visionaries:** For investors, a team's hyper-focus on marketing over demonstrable tech, coupled with opaque dealings like Movement's, are significant red flags; demand substance over hype.
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May 9, 2025

Lightspeed Cross-Post: Can Ethereum Scale The L1? | Weekly Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Efficiency Isn't Centralization: Rapid, coordinated responses to network threats are signs of a healthy, aligned ecosystem, not inherent centralization.
  2. L1 Scaling is a Grind: Ethereum's path to a more performant L1 is fraught with technical challenges and competitive pressure, with no guarantee of reclaiming its past dominance in on-chain activity.
  3. Performance Pays for Decentralization: The L1s that can deliver sustained high performance will attract activity and revenue, creating the strongest economic incentives for a truly decentralized validator set.
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May 9, 2025

Coinbase Buys Deribit, Stripe’s Stablecoin Launch, and Ethereum’s Pectra Upgrade | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. The crypto space is witnessing an intense period of building and institutional adoption, fundamentally reshaping financial infrastructure.
  2. Real-World Integration Accelerates: Major players like Coinbase and Stripe are not just dipping toes but diving headfirst, embedding crypto into mainstream finance and global commerce.
  3. Stablecoins are the New Global Rails: With Stripe's expansion and the US Treasury's bullish $2T forecast, stablecoins are becoming indispensable for borderless, efficient payments.
  4. On-Chain Capital Markets Are Here: The tokenization of real-world assets, particularly equities via platforms like Superstate, is paving the way for more liquid, accessible, and programmable financial markets.
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