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AI Podcasts

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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December 31, 2025

[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual

Latent Space

AI
Key Takeaways:
  1. The transition from Model-Centric to Context-Centric AI. As base models commoditize, the value moves to the proprietary data retrieval and prompt optimization layers.
  2. Implement an instruction-following re-ranker. Use small models to filter retrieval results before they hit the main context window to maintain high precision.
  3. Context is the new moat. Your ability to coordinate sub-agents and manage context rot will determine your product's reliability over the next year.
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December 31, 2025

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Latent Space

AI
Key Takeaways:
  1. The convergence of RL and self-supervised learning. As the boundary between "learning to see" and "learning to act" blurs, the winning agents will be those that treat the world as a giant classification problem.
  2. Prioritize depth over width. When building action-oriented models, increase layer count while maintaining residual paths to maximize intelligence per parameter.
  3. The "Scaling Laws" have arrived for RL. Expect a new class of robotics and agents that learn from raw interaction data rather than human-crafted reward functions.
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December 31, 2025

[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv

Latent Space

AI
Key Takeaways:
  1. The Age of Scaling is hitting a wall, leading to a migration toward reasoning and recursive models like TRM that win on efficiency.
  2. Filter your research feed by implementation ease rather than just citation count to accelerate your development cycle.
  3. In a world of AI-generated paper slop, the ability to quickly spin up a sandbox and verify code is the only sustainable competitive advantage for AI labs.
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Crypto Podcasts

August 26, 2025

Ep 46 — How to Turn a Dying NFT Collection into a $50M Cultural Empire in Web3 ft. Luca Netz

The DCo Podcast

Crypto
Key Takeaways:
  1. **Valuation is Evolving.** The most durable crypto projects will be judged not on tokenomics alone, but on a triad of community strength (Ecosystem), marketing reach (Attention), and real-world cash flow (Revenue).
  2. **Centralization Wins the Consumer.** The next billion users will not navigate a dozen dApps. They will be onboarded through simplified, centralized super-apps that provide a seamless and curated on-chain experience.
  3. **Reward Loyalty, Not Speculation.** Sustainable value is built by aligning with true believers. Founders should design mechanisms that reward long-term holders and actively discourage "farm-and-dump" behavior.
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August 26, 2025

Why I Sold Some Crypto & Prediction Markets Alpha

Taiki Maeda

Crypto
Key Takeaways:
  1. Re-evaluate Risk/Reward. With majors like Ethereum potentially offering symmetrical 50% upside vs. 50% downside, the rationale for holding heavy, levered positions weakens. It's time to take some chips off the table.
  2. Explore Prediction Markets. This sector offers a fresh frontier for alpha. Get active on Polymarket, farm the Limitless airdrop on Base (min. $200 bet), and join Outcome’s risk-free testnet competition to get exposure.
  3. Build a Defensive Core. Adopt assets like JLP on Solana as a portfolio cornerstone. It provides market exposure while protecting capital through its diversified pool and fees generated from retail traders, outperforming most crypto assets in a downturn.
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August 26, 2025

Will Crypto Peak in 2025… or Run Into 2026? Onchain Data Signals

Bankless

Crypto
Key Takeaways:
  1. **This Time Might Be Different.** Macro indicators like loosening bank lending standards, mid-range equity valuations, and a dovish Fed signal the business cycle is earlier than many believe, favoring a cycle extension into 2026 over a 2025 peak.
  2. **On-Chain Metrics Show No Signs of a Top.** Key on-chain data is far from euphoric. The Bitcoin Fear & Greed index is neutral, and while long-term holders are selling, it’s being absorbed without triggering the "extreme greed" that defines market tops.
  3. **Build a Concentrated, High-Conviction Portfolio.** Don't "diworsify." Anchor 70%+ of your portfolio in core assets (BTC, ETH), benchmark all other bets against them, and use small "hot sauce" allocations (5-10%) for high-risk plays while always maintaining cash to buy the dips.
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August 25, 2025

Can Rate Cuts Save Crypto’s Bull Market?

1000x Podcast

Crypto
Key Takeaways:
  1. **Macro is your north star.** The crypto market's direction is dictated by Fed policy. Rate cuts are the narrative, and trillions are waiting on the sidelines to flood into risk assets.
  2. **Take profits aggressively.** We are in the "stupid" phase of the cycle. Systematically sell portions of your holdings at 20%, 50%, and 100% gains to de-risk before the music stops.
  3. **Scrutinize DAOs.** Many are exit liquidity schemes. Only consider those with strong guardrails, like mandatory fresh capital matching, that bring new money into the ecosystem.
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August 25, 2025

Commissioner Peirce On SEC’s Next Moves

Empire

Crypto
Key Takeaways:
  1. Frameworks, Not Fights: The SEC is shifting from broad prohibitions to creating specific, workable rules for token launches. The goal is to bring this crucial capital formation activity back to the U.S. under a clear and compliant regime.
  2. Decentralization Changes the Game: True decentralization isn't just a buzzword; it fundamentally challenges the existing regulatory model. For truly peer-to-peer protocols, the old playbook of licensing intermediaries may no longer apply.
  3. The Best Defense is Utility: The crypto industry's greatest protection against future regulatory hostility is to build things with real, lasting value. Use this period of clearer skies to create products and services that prove the technology's worth beyond speculation.
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August 24, 2025

Will LINK Flip XRP? with Zach Rynes

The Rollup

Crypto
Key Takeaways:
  1. Bet on the Ecosystem, Not the Silo: Chainlink’s value is tied to the growth of the entire blockchain space, making it a diversified bet on institutional adoption. XRP’s success is a narrow wager on its own ledger and asset gaining dominance.
  2. Follow the Proof, Not the Promises: Chainlink’s public partnerships with firms like Swift and JP Morgan provide concrete evidence of traction. This stands in sharp contrast to XRP's long-unfulfilled, NDA-shrouded narrative.
  3. Infrastructure is the Ultimate Power Play: By providing a comprehensive suite of essential services (data, cross-chain, compliance), Chainlink is building a defensible moat as the go-to infrastructure platform for Web3, with no direct all-in-one competitor in sight.
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