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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 13, 2025

0xResearch | Friday, June 13th

0xResearch

Crypto
Key Takeaways:
  1. **Meme Wisely:** ETH's narrative power is potent, but sustainable value needs a bedrock of technological strength and real-world utility.
  2. **Stablecoins are King:** This is the crypto sector attracting serious institutional capital and big tech attention; the growth runway is immense.
  3. **Regulation is Warming:** Positive signals from the SEC on self-custody and staking offer tailwinds, potentially de-risking significant parts of the crypto ecosystem.
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June 13, 2025

Takeaways from the SEC Roundtable and Privy Acquisition | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Regulatory Thaw: The SEC’s new leadership signals a more accommodating stance on crypto, potentially unlocking significant growth for DeFi in the US.
  2. Market Structure Evolution: Tokenization is increasingly viewed as the key to modernizing capital markets, with on-chain IPOs and improved secondary market liquidity on the horizon.
  3. Infrastructure is King: Acquisitions like Privy by Stripe highlight the race to build and control the foundational layers of the crypto economy, especially around wallets and stablecoins.
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June 13, 2025

Institutions Pour Billions into Crypto! Stripe’s Bold Move & Genius Act Explained

Bankless

Crypto
Key Takeaways:
  1. Institutional FOMO is Real: Bitcoin and Ethereum ETFs are magnets for capital, and Circle's IPO success signals massive pent-up demand.
  2. Regulation is Maturing: The Genius Act is poised to legitimize stablecoins, while the Clarity Act could reshape token classifications.
  3. Adoption Accelerates: Stripe's crypto acquisitions and Poly Market's X integration show crypto moving beyond niche use cases.
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June 13, 2025

Standard Chartered: The Bull Case For Solana | Geoff Kendrick

Lightspeed

Crypto
Key Takeaways:
  1. Solana's Next Act is Crucial: Current memecoin activity, while impressive, is viewed by institutions like Standard Chartered as less sustainable than diversified utility; a pivot to tokenized equities or social is key for long-term valuation.
  2. Perception Battles Performance: Ethereum's established "trustworthiness" gives it an institutional edge, even if Solana offers superior tech for certain applications. Solana must overcome its "memecoin" image to attract serious TradFi.
  3. Near-Term Headwinds for Solana Relative to Ethereum: Kendrick suggests Ethereum might outperform Solana in the near term (though both underperform Bitcoin) as Solana navigates its transition phase, while Ethereum benefits from incumbency in stablecoins and tokenized RWAs.
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June 12, 2025

The Digital Payment Race That Will Reshape the World

Forward Guidance

Crypto
Key Takeaways:
  1. **Currency Cold War:** A "currency conflict" is unfolding, with the winner set to define the financial backbone of the next-gen internet and global commerce.
  2. **Stablecoins vs. The State:** USD stablecoins are pitched as the West's best bet for the internet's future currency, directly competing with state-backed digital currencies like China's e-CNY.
  3. **Agent-Powered Internet:** The dream is an internet where AI agents, fueled by ultra-low-cost stablecoin transactions, manage our digital lives, moving incentives away from human attention.
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June 12, 2025

The Last Mile Problem For Stablecoins | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. **Solve Real Friction:** The "last-mile" challenge—seamlessly converting stablecoins to local cash in emerging markets—remains the critical bottleneck and prime opportunity for stablecoin protocols.
  2. **Moats are Real:** Overcoming established players like Tron requires more than just better tech or lower fees; it demands superior distribution and user migration strategies.
  3. **Align Incentives:** Morpho's structural changes offer a compelling model for aligning team, investor, and token holder interests, potentially setting a new standard for Web3 projects.
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