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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 19, 2025

Why banks will be disrupted by stablecoins with Rob Hadick #crypto #markets #stablecoins #podcast

Bankless

Crypto
Key Takeaways:
  1. Stablecoins exploit bank inefficiency: They offer a direct route to bypass ~10% cross-border banking fees, meeting real demand.
  2. Dollar desire drives adoption: In high-inflation countries, stablecoins provide crucial access to the US dollar and dollar-priced goods.
  3. Currency consolidation favors majors: Geopolitical shifts may shrink the currency landscape, potentially strengthening the role of major currencies and their stablecoin counterparts (USD, EUR, RMB).
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April 18, 2025

Trade War & The Markets | EP 74

Good Game Podcast

Crypto
Key Takeaways:
  1. Brace for Trade War Impact: The economic fallout from tariffs and uncertainty is likely underestimated and poses significant downside risk to US equities and global growth.
  2. Demand Crypto Transparency: The lack of clear disclosure rules around token holdings and sales remains a critical vulnerability; solutions are needed, potentially driven by major exchanges or self-regulatory efforts.
  3. AI Value Shifts to Apps: Foundational models risk commoditization; long-term defensibility for AI startups hinges on building strong distribution and network effects on the application layer, potentially by remaining model-agnostic.
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April 18, 2025

Beyond the Hype: Crypto’s Next Phase | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. **Market Bifurcation:** Expect continued divergence – select assets might surge on squeezed supply, but most face headwinds without new buyers. Stay nimble.
  2. **Efficiency is King:** Capital is scarcer. Projects must prove lean operations and clear value accrual compared to TradFi alternatives to win funding.
  3. **Transparency Unlocks Capital:** Don't wait for regulation. Proactive, standardized disclosure of financials, token flows, and operations will attract sophisticated investors and build desperately needed trust.
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April 18, 2025

Beyond the Hype: Crypto’s Next Chapter | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Efficiency is King: Protocols proving lean operations and clear value capture relative to TradTech will win scarce venture dollars.
  2. Disclose to Win: Transparency isn't optional; protocols providing clear, standardized data and disclosures will attract serious capital.
  3. Stablecoins Aren't Monolithic: Understand the nuances – payment vs. yield, US vs. global demand, issuer vs. infrastructure vs. enabled business – to capitalize on their growth.
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April 18, 2025

Is This The End of Steady Lads?

Steady Lads Podcast

Crypto
Key Takeaways:
  1. ETH Contrarian Play: Thicky eyes a deep ETH bottom ($200 target) as a long-term Proof-of-Stake bet, viewing PoW as flawed.
  2. Macro Escape: Gold's surge signals a potential flight from the USD; Bitcoin is seen as the practical digital gold alternative for individuals.
  3. Product Urgency: Crypto's long-term relevance hinges on delivering real-world products, not just speculative tokens or unsustainable pump-and-dumps like Mantra.
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April 17, 2025

Bryan Pellegrino on Building the Crypto Rails for AI Agents

The People's AI

Crypto
Key Takeaways:
  1. **Agent Volume Tsunami:** AI agents will perform vastly more blockchain operations (especially payments) than humans very soon, demanding scalable infrastructure.
  2. **Crypto is the Payment Layer:** Forget decentralized compute (for now); crypto's killer app for AI is providing seamless, low-cost global payment rails.
  3. **Build Generalizable Rails:** Success requires building adaptable, fundamental infrastructure (like Layer Zero aims to be) rather than solving fleeting, specific problems in this fast-changing landscape.
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