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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

June 18, 2025

Introducing The Token Transparency Framework

Empire

Crypto
Key Takeaways:
  1. Shine a Light: The Framework allows legitimate projects ("peaches") to differentiate themselves from opaque or scammy ones ("lemons"), potentially reducing the 80% "lemon discount."
  2. Investor Shield: Provides investors a standardized checklist to assess a token's structural integrity beyond just its hype, looking at critical areas like equity vs. token alignment and fund use.
  3. Market Integrity Boost: Widespread adoption could significantly improve market transparency, attract institutional capital, and discourage nefarious actors, ultimately strengthening the entire crypto ecosystem.
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June 17, 2025

Analyzing Public Crypto Vehicles This Cycle

Empire

Crypto
Key Takeaways:
  1. **Public Equities Offer Familiarity:** Investors are gravitating towards public crypto vehicles for their established legal structures and operational simplicity over direct token holdings.
  2. **Leverage Looks Different Now:** Today's public crypto plays (e.g., MicroStrategy) exhibit significantly less leverage than the high-risk trades that caused meltdowns last cycle.
  3. **Securities Classification Could Be Bullish:** Regulating tokens as securities might unlock substantial institutional capital, providing clearer rules and bolstering market stability.
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June 17, 2025

Solana ETFs Are Coming With Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. **Solana ETFs are knocking on the door**, potentially armed with staking yield and a clearer TradFi narrative than their Ethereum counterparts.
  2. **The DEX arena is a battlefield**: CLOBs on specialized infrastructure are rising, challenging AMMs and reshaping liquidity for everything from blue-chips to memecoins.
  3. **Stablecoins are crypto's killer app going mainstream**, with Circle's IPO firing the starting gun for broader investor participation and a new wave of competition.
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June 17, 2025

How to Actually Grow on Crypto Twitter in 2025

The DCo Podcast

Crypto
Key Takeaways:
  1. Authenticity Over Algorithms: Ditch the generic social media playbook; your genuine interest in a specific crypto niche is your most potent growth tool.
  2. Niche Down to Blow Up: Become the go-to source for your specific passion (e.g., memecoins, DeFi protocols) by sharing your unique process and insights.
  3. The Audience Knows: Users can "sniff out" disingenuous content. Real interest and transparent sharing build trust and attract a loyal following.
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June 16, 2025

The State Of Crypto Derivatives

Empire

Crypto
Key Takeaways:
  1. **Risk Re-Priced**: Post-2022, understanding and mitigating counterparty and correlated risk is paramount; high returns often masked these dangers.
  2. **TradFi Rails Accelerate Crypto**: Publicly traded vehicles and ETFs are becoming key on-ramps, channeling traditional capital into crypto and reshaping market dynamics, notably compressing volatility.
  3. **Fundamental & On-Chain Focus**: Durable value (on-chain credit, strong L1s like Solana, revenue-generating protocols) and innovative on-chain derivatives platforms (like Hyperliquid) are prime areas of growth and investor interest.
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June 16, 2025

How to Value L1s?

Lightspeed

Crypto
Key Takeaways:
  1. App Revenue as a Current Yardstick: For now, L1 "GDP" (market cap / app revenue) offers a more stable cross-chain valuation tool than direct fees, providing an "apples-to-apples" comparison.
  2. The Inevitable Value Shift: Expect a future where applications, not L1s, capture the lion's share of value, as app take rates and business models mature. L1 valuations may compress as app valuations expand.
  3. L1s Must Innovate to Retain Value: Blockchains like Solana are actively strategizing (e.g., application-specific sequencing) to keep successful apps within their ecosystems, highlighting the growing pressure on L1s to prove their enduring value proposition beyond basic infrastructure.
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