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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

April 11, 2025

The Trump Put Is In The Bond Market | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** 5% on the 30-year yield marks the pain threshold triggering policy intervention to prevent systemic collapse.
  2. **Fed Pivot Incoming:** Despite hawkish talk, falling inflation and market stress make Fed cuts and liquidity measures (like ending QT) highly probable by May.
  3. **Bitcoin Favored:** Anticipated global liquidity injections are expected to benefit Bitcoin more than traditional equities as the world adjusts to the new geopolitical and economic landscape.
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April 10, 2025

Market Crash. But at Least We Get a $200K Bitcoin? - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. Bitcoin's Identity Crisis: Bitcoin trades like a risk asset now, needing stimulus for upside, but the ultimate bull case hinges on it becoming a "chaos hedge" if traditional systems falter.
  2. Altcoins Need New Narrative: Alts bleed against Bitcoin as institutions find cleaner leverage elsewhere (BTC options, MSTR); their value proposition beyond speculation needs strengthening.
  3. Crypto Plumbing Gets Real: Major M&A (Ripple/Hidden Road) and stablecoin growth (despite Circle's IPO delay) show the industry is building robust, institutional-grade infrastructure, even amidst market chaos.
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April 10, 2025

Ethereum Co-Founder: How Do We Fix Crypto? | Gavin Wood

Empire

Crypto
Key Takeaways:
  1. Hype Kills Efficiency: Crypto's obsession with hype leads to dramatic misallocation of capital and talent, hindering real innovation.
  2. Utility is Lacking: Many popular platforms primarily facilitate speculation and insider enrichment, falling short of the original Web3 vision.
  3. Refocus on Fundamentals: The industry needs a renewed emphasis on core engineering and building a "viable social operating system," not just marketing narratives.
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April 10, 2025

Can Blockchain Fix AI's "IP Problem"? With Story Protocol co-founder Jason Zhao

The People's AI

Crypto
Key Takeaways:
  1. Fix IP's Plumbing: Today's IP system is archaic; Story Protocol leverages blockchain for a transparent, programmable, global alternative.
  2. Monetize AI Training: Instead of fighting AI, creators can use Story to set terms and get paid for allowing their IP to be used in AI training or outputs.
  3. Tokenize Everything: IP is a $61T+ asset class (songs, data, brands); protocols like Story unlock its value through tokenization (IPRWAs) and new licensing models.
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April 9, 2025

Are We In A Bear Market? | Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Fundamental Disconnect: Solana's network activity (DEX volume, stablecoins) is stronger now than when SOL last traded below $100, despite the recent price plunge.
  2. Diverging Narratives: Bitcoin is trading like non-sovereign money, reacting to macro news, while Solana's price is more closely tied to its Layer 1 competition with Ethereum.
  3. Leverage Alert: Near-record high Solana open interest (in SOL terms) indicates significant leverage, suggesting amplified volatility potential ahead.
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April 9, 2025

Trump Is “Kitchen Sinking” The US Economy | Darius Dale

Forward Guidance

Crypto
Key Takeaways:
  1. Expect Pain Before Gain: The transition requires near-term economic disruption and market volatility ("go down to go up") before potential long-term benefits materialize. Markets haven't fully priced this in.
  2. Fed Will Be Forced to Act: Ignore Fed rhetoric; expect QE driven by financial stability needs and the debt cycle, regardless of stated intentions about rate levels. Structural inflation near 3% makes the 2% target a source of policy error.
  3. Ditch Long Bonds, Embrace Systems: Structural inflation and fiscal risks make long-term bonds unattractive. Navigate the volatile "Fourth Turning" environment with systematic, rules-based strategies dynamically allocating across assets like stocks, gold, and Bitcoin, prioritizing risk management over prediction.
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