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AI Podcasts

December 31, 2025

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

Latent Space

AI
Key Takeaways:
  1. Academic research is transitioning from a "publish or perish" PDF culture to an "implement or ignore" code culture.
  2. Use AlphaXiv to filter research by social signal and implementation ease rather than just keyword relevance.
  3. The PDF is an antiquated artifact. In 2025, the value of a paper is measured by the speed at which a developer can spin up its Docker container.
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December 31, 2025

[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire

Latent Space

AI
Key Takeaways:
  1. The Macro Trend: The transition from black box scaling to transparent steering. As models enter regulated industries, the ability to prove why a model made a decision becomes more valuable than the decision itself.
  2. The Tactical Edge: Deploy sidecar models for monitoring. Instead of using expensive LLM-as-a-judge prompts, probe specific internal features to catch hallucinations at the activation level.
  3. The Bottom Line: The next year belongs to the pragmatic researchers. If you cannot explain your model's reasoning, you will not be allowed to deploy it in high-stakes environments.
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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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Crypto Podcasts

June 19, 2025

Crypto Options Are Broken

Forward Guidance

Crypto
Key Takeaways:
  1. Listed is Better (For Now): For functional crypto options, look to products on established, regulated exchanges with competitive market-making; on-chain options are largely unworkable due to poor liquidity and structure.
  2. US Spot Market Needs a Shake-Up: The high costs and concentration in US spot crypto trading stifle accessibility; more competition is essential.
  3. Market Structure is Destiny: The design of a market—its rules, incentives, and competitive landscape—ultimately determines execution quality and cost, far more than the underlying asset itself.
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June 19, 2025

Institutional Capital Is Reshaping Crypto | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. Fundamentals First: The "revenue meta" is here to stay; projects without real earnings or clear paths to profitability will struggle.
  2. Institutions are Driving: With institutional players dominating trading volumes, expect crypto valuations to increasingly align with traditional financial metrics and scrutiny.
  3. Value Accrual is King: Tokens must demonstrate how they capture and return value to holders; mechanisms like revenue share and buybacks are becoming non-negotiable.
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June 19, 2025

How The Token Transparency Framework Will Impact Prices

Empire

Crypto
Key Takeaways:
  1. **Transparency Pays:** Projects embracing transparency will likely see a long-term price premium, appealing to sophisticated, long-horizon investors.
  2. **Clarity Cuts Through Noise:** Fundamentally strong but poorly communicated projects can leverage the framework to gain visibility and investor trust.
  3. **Bad Actors Beware:** The framework is designed to punish extractive and scam projects, cleaning up the ecosystem and redirecting resources to genuine innovation.
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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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