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AI Podcasts

December 31, 2025

[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang

Latent Space

AI
Key Takeaways:
  1. The transition from completion to agency requires moving from static repos to active, economically valuable environments.
  2. Prioritize agentic workflows that emphasize codebase understanding over simple code generation.
  3. The next 12 months will see a move from stunt autonomy to integrated human-AI systems that handle long-running tasks without losing the human intent.
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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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Crypto Podcasts

December 24, 2025

How Crypto Users Get Rekt and How You Can Stay Safe

Unchained

Crypto
Key Takeaways:
  1. The Human Layer Exploit. As code becomes more robust, the attack surface moves to the people managing it. Security is now an HR and psychology problem as much as a technical one.
  2. Deploy YubiKeys. Replace SMS and app-based 2FA with hardware keys to stop phishing. If a site cannot talk to your physical key, the attacker cannot steal your session.
  3. Security is a process of adding layers, not a one-time audit. If you do not have a "blast radius" strategy to isolate your funds, you are one bad click away from a total loss.
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December 24, 2025

Regulation Shifts as Security Becomes the Real Risk

Unchained

Crypto
Key Takeaways:
  1. The Macro Evolution: The Institutional Osmosis. Crypto is no longer a parallel universe but a high-speed rail for traditional assets.
  2. The Tactical Edge: Audit Your Humans. Implement "Camera-On" policies and cross-verify identities via physical meetups to neutralize remote infiltration.
  3. The Bottom Line: Survival in the next 12 months depends on moving from "Degen" security to "Enterprise" resilience as the lines between Coinbase and BlackRock vanish.
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December 23, 2025

The End of Forever Games Is Closer Than You Think

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: Content Abundance vs. Attention Scarcity. As AI makes the "what" of gaming cheap, the "where" (distribution) and "who" (high-LTV users) become the only defensible assets.
  2. The Tactical Edge: Skin the Game. Use AI to rapidly iterate on visual assets for existing mechanics to capture trending subcultures within crypto communities.
  3. The Bottom Line: The future of gaming isn't about building a 10-year world; it's about building high-fidelity, ephemeral experiences that drive value to on-chain ecosystems.
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December 23, 2025

Ben Cowen on Where Crypto is Going in 2026

Bankless

Crypto
Key Takeaways:
  1. The Macro Shift: Macro gravity is currently winning as high interest rates suppress risk-on assets while AI captures the remaining speculative energy.
  2. The Tactical Edge: Accumulate Ethereum only when it enters the regression band and Bitcoin when it touches the 200-week moving average.
  3. The Bottom Line: The next major opportunity likely arrives in the summer of 2026 when monetary policy finally turns accommodative and the labor market stabilizes.
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December 23, 2025

How Kamino Became Solana's Largest Lending Protocol | Marius Ciubotariu

Lightspeed

Crypto
Key Takeaways:
  1. The transition from utilization-based pools to intent-based matching engines is the next evolution of DeFi. This movement mirrors the move from AMMs to order books in spot trading.
  2. Monitor the rollout of Kamino’s fixed-rate products to lock in borrowing costs for geared positions. This move protects against the volatility of variable rate markets during high-activity periods.
  3. Kamino is positioning itself as the back-end for the next generation of fintech. If they successfully bridge off-chain collateral, the protocol moves from a crypto-native tool to a global financial utility.
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December 23, 2025

Why Privacy Is Finally Making A Comeback (...And What Comes Next)

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: The Truth Layer. As AI erodes the reliability of information, the market will value proof of origin over privacy of data.
  2. The Tactical Edge: Audit the Stack. Integrate ZK-based verifiability into your data pipelines now to future-proof against AI-generated exploits.
  3. The Bottom Line: The next decade belongs to systems that provide cryptographic certainty in an uncertain world.
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