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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 23, 2025

The Token Transparency Framework, Worldcoin, and X’s Super App | Livestream

0xResearch

Crypto
Key Takeaways:
  1. Transparency is Non-Negotiable: The industry overwhelmingly supports standardized disclosures; projects can no longer hide in ambiguity.
  2. Apps Over Chains (Mostly): The new meta for exchanges involves building user-facing applications on existing, efficient blockchains rather than launching bespoke L1s/L2s, prioritizing speed-to-market and revenue.
  3. Proof-of-Humanity is Coming: As AI blurs online reality, solutions like Worldcoin, despite debate, are gaining traction with platforms desperate to verify real users.
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June 23, 2025

Is Tether The World's Most Valuable Company?

Bankless

Crypto
Key Takeaways:
  1. Profit Powerhouse: Tether's profitability ($13.7B+ annually) fuels its independence and aggressive investment strategy, making it a financial force comparable to nations in Treasury markets.
  2. Global First, US Second (Strategically): While pursuing US compliance for USDT, Tether’s core focus remains on emerging markets where its impact (and profitability) is higher. A new US-specific stablecoin will target different, value-added use cases.
  3. Beyond Stablecoins: Tether is diversifying heavily, aiming to become a top Bitcoin miner, expanding its tokenized gold offering (with physical redemption), and investing in AI and other tech, always with an eye on distribution.
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June 23, 2025

How To Fix Crypto's Token Problem

Lightspeed

Crypto
Key Takeaways:
  1. **Brace for "Junk":** Expect a deluge of low-quality tokens funded over the past two years to hit markets in the next 12-18 months. Extreme diligence is crucial.
  2. **Equity Rises:** The growth of crypto M&A, potential IPOs, and institutional interest will increasingly value revenue-generating companies and "real things" over purely speculative tokens.
  3. **Utility Is King (Eventually):** Projects delivering genuine products, strong user adoption, and productive tokenomics will ultimately define a more robust and trustworthy crypto ecosystem.
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June 22, 2025

Yano On What The New Token Transparency Framework Looks Like

Empire

Crypto
Key Takeaways:
  1. **Standardized Scrutiny Arrives:** The Token Transparency Framework introduces a systematic, 18-criteria evaluation, offering a clear benchmark for assessing token projects beyond hype.
  2. **Rewards & Repercussions:** By first celebrating transparent projects (like Jito and Jupiter) and then planning to rate less forthcoming ones, the framework aims to incentivize industry-wide improvements in disclosure.
  3. **Investor Toolkit Boost:** This framework provides investors with a concrete tool for due diligence, moving towards a more informed and transparent crypto investment landscape.
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June 21, 2025

0xResearch | June 20th, 2025

0xResearch

Crypto
Key Takeaways:
  1. CEXs Go Lean: Exchanges are increasingly opting for lighter on-chain footprints, prioritizing app development on existing chains over building new L1s/L2s, signaling a focus shift to direct user value.
  2. Transparency is Non-Negotiable: The 0xResearch Token Transparency Framework highlights a critical industry need for standardized disclosures, aiming to build trust and attract serious capital by demystifying token projects.
  3. Utility Drives Valuation: Projects like Kamino, despite strong fundamentals and growth, underscore that clear token utility and value accrual mechanisms are essential for market recognition and valuation.
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June 20, 2025

Macro Uncertainty, Circle’s Surge, and Prediction Market Utility | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. Selective Bets Over Broad Sprees: Forget throwing darts; the crypto market now rewards surgical precision. Focus on projects with strong fundamentals and demonstrable traction, as "hyper dispersion" is the new norm.
  2. Public Equities as a Crypto Proxy: With limited direct, high-quality crypto IPOs, existing listed entities like Circle and Coinbase are soaking up institutional and retail interest, mimicking "alt season" dynamics in traditional markets.
  3. Pragmatism Pays: The industry is shedding ideological baggage. Successful projects will meet existing market needs, provide clear disclosures, and avoid outdated tokenomic "tricks." Prediction markets are an emerging utility to watch.
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