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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

June 1, 2025

We Asked Flood About His Hyperliquid Bull Thesis

The Rollup

Crypto
Key Takeaways:
  1. **Hyperliquid (Hype) is King:** Flood states, "It's the only asset that matters in crypto other than Bitcoin... Nothing else makes money," citing its strong fundamentals and mispricing.
  2. **L1s are Uninvestable Commodities:** Focus on applications and frontends that directly serve users; L1s are a race to the bottom on fees and vulnerable to tech disruption.
  3. **Builder Codes Fuel an Ecosystem:** Hyperliquid's permissionless monetization will attract a wave of development, creating a moat through network effects and specialized user experiences.
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May 31, 2025

LIVE Hivemind: Crypto Treasury Companies, Sui Hack & Solana’s New Consensus

Empire

Crypto
Key Takeaways:
  1. Treasury Tactics: The "treasury company" model is the new "low float, high FDV" game, but relies on continued premium valuations and favorable debt markets; watch out for stress when debt matures.
  2. Sui's Pragmatism: Sui’s handling of the Cetus hack signals that newer chains may prioritize decisive action and recovery over decentralization purity in crises, a trend likely to continue.
  3. Solana's Evolution: Solana’s major consensus upgrade, developed by former critics, showcases a pragmatic, engineering-first approach focused on performance and validator accessibility, potentially strengthening its L1 position.
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May 31, 2025

Where Crypto Meets AI with Chris Dixon & David George

a16z

Crypto
Key Takeaways:
  1. Crypto Delivers Utility: Stablecoins move trillions monthly, proving crypto's real-world value beyond speculation for fast, cheap global payments.
  2. AI Rewrites Web Economics: AI's direct-answer capability breaks the old ad-traffic model. Crypto offers tools to build the new economic "covenant" required.
  3. Bet on Category Kings: Tech markets are "winner-take-all." Focus on the dominant player in any credible category, especially those led by founders with unique, "earned secrets."
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May 30, 2025

The Solana Incubator: Finding Crypto's Next Breakthrough App | Emon Motamedi

Lightspeed

Crypto
Key Takeaways:
  1. Build Real, Not Just Rallies: Prioritize long-term, sustainable businesses with tangible revenue models over chasing fleeting crypto trends.
  2. Utility Tokens Trump Speculation: Design tokens to solve core project problems or incentivize user behavior, not merely for market hype.
  3. Solana's Next Wave: Infrastructure for Reality: Leverage crypto as a backend for innovative solutions to real-world problems, targeting broader, non-crypto native audiences.
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May 28, 2025

Building a Trust Layer for Crypto AI Investing | Autonomous Investors Explained

The DCo Podcast

Crypto
Key Takeaways:
  1. Trust is Quantifiable: AI investors can build dynamic trust scores by systematically paper-trading community signals, effectively rewarding proven alpha generators.
  2. Beyond Wallet Snooping: "Social copy wallet" systems can unearth expert insights without needing direct access to individual wallet addresses, thus broadening the discoverable talent pool.
  3. Community as a Vetted Oracle: The collective intelligence of crypto communities, when filtered through a performance-based trust layer, can power sophisticated AI investment decisions.
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May 28, 2025

Has Ethereum Bottomed?

1000x Podcast

Crypto
Key Takeaways:
  1. ETH: Trade the Chart, Doubt the Core. Ethereum’s technicals may offer a trading setup, but deep-seated skepticism about its fundamental delivery persists.
  2. Worldcoin Warning: The massive FDV and emission schedule for Worldcoin scream "sell pressure," making it a risky long-term hold despite any hype.
  3. Invest with Edge: Focus on revenue-generating altcoins and areas you understand; it's okay to miss out on trades where you lack a clear advantage.
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