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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 29, 2025

Why BlackRock Is Bullish On Tokenization

Empire

Crypto
Key Takeaways:
  1. Tokenization is Strategic: BlackRock sees tokenizing assets as fundamental to improving market access and efficiency, dedicating significant focus to this path.
  2. Bridging is Key: Practical solutions like ETPs and tokenized funds are crucial tools BlackRock is deploying to connect TradFi users and crypto-native institutions.
  3. Transition Takes Time: The shift to tokenized markets will be gradual, requiring careful management of legacy systems and ensuring interoperability is maintained.
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April 29, 2025

Would you take Bitcoin over 5 years or random altcoins?

The Gwart Show

Crypto
Key Takeaways:
  1. Altcoin Asymmetry: Lower-cap altcoins offer higher potential percentage gains (3-4x) with less required capital inflow compared to Bitcoin.
  2. Bitcoin's Gravity: Bitcoin's massive size makes large multiple gains (like 3x) significantly harder, requiring vast capital injections.
  3. Liquidity is King: Your bet hinges on future macro conditions; high liquidity environments tend to disproportionately benefit riskier, less liquid altcoins.
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April 29, 2025

Bits + Bips Live: Crypto, Macro, Tariffs, Stablecoins, and More

Unchained

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** Market reactions demonstrably curb aggressive tariff policies; expect continued volatility but likely avoidance of worst-case tariff scenarios as Trump needs stable markets.
  2. **Bitcoin Treasury Flywheel Spins Faster:** Expect more MicroStrategy clones globally, leveraging debt and equity markets to acquire Bitcoin. Monitor NAV premiums closely – their collapse is the model's Achilles' heel.
  3. **Bitcoin's Narrative Strengthens:** Bitcoin's recent decoupling and resilience amid macro turmoil bolsters its digital gold thesis, attracting attention even from skeptics, while altcoins struggle to keep pace this cycle.
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April 28, 2025

Bitcoin’s Macro Status, Ethereum’s Cultural Reset, and Solana’s Growth Risk | Jon Charbonneau

0xResearch

Crypto
Key Takeaways:
  1. Bitcoin Stands Alone: Recognized globally, Bitcoin operates in its own macro league, detached from altcoin tech narratives.
  2. Ethereum's Redemption Arc?: A pivot to user needs and L1 scaling is underway, but Ethereum must deliver concrete performance upgrades to compete effectively.
  3. Execution is King: Solana leads the speed race but faces valuation/fee risks. The future favors chains offering the best, most sovereign execution environment, with modular plays like Celestia betting on a hyper-scaled world.
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April 28, 2025

BlackRock's Crypto Strategy In 2025 With Samara Cohen

Empire

Crypto
Key Takeaways:
  1. IBIT's Success Validates the Bridge: The Bitcoin ETP proved massive latent demand exists for accessing crypto via familiar, regulated wrappers, bringing many new investors into the fold.
  2. Tokenization Targets Infrastructure First: Forget tokenizing illiquid JPEGs (for now); the real institutional action is using blockchains to fix inefficient TradFi plumbing, starting with cash and collateral.
  3. Data & Standards are The Next Hurdle: Broader institutional adoption beyond Bitcoin requires solving the crypto data, standards, and valuation puzzle to enable reliable analysis and indexing.
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April 28, 2025

Crypto's Fastest Growing App: Is Pumpfun's Revenue Sustainable?

Lightspeed

Crypto
Key Takeaways:
  1. Revenue Reality Check: Pumpfun's impressive revenue warrants investigation; sustainability is questionable if heavily reliant on bot activity or if it operates like a high-loss "casino" for users.
  2. Platform Duality: Pumpfun serves as both a backend launchpad discovered via external platforms and a direct trading venue, with ~70% of pre-launch volume happening on-site.
  3. High-Risk Environment: The platform operates like a "less fair casino," meaning users should anticipate significant risk and potential for loss.
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