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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

February 2, 2026

How to Fix Tokenized Securities with Olivia Olivia Vande Woude from Ava Labs

The Rollup

Crypto
Key Takeaways:
  1. Trust is moving from opaque balance sheets to verifiable, cryptographically enforced infrastructure. This means financial protocols, not just institutions, will increasingly dictate settlement, custody, and compliance.
  2. Prioritize tokenized assets and investment vehicles that offer direct legal claims and verifiable on-chain mechanics. For builders, focus on creating infrastructure that eliminates intermediaries and provides transparent, programmable utility, like vaults.
  3. The future of finance is about verifiable infrastructure and programmable ownership. Understanding the nuances of tokenized security structures and the rise of on-chain vaults will be critical for investors and builders navigating the convergence of traditional finance and DeFi over the next 6-12 months.
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February 2, 2026

The 1010 Exploit and other broken market structures

The Gwart Show

Crypto
Key Takeaways:
  1. The market is demanding verifiable, transparent, and capital-efficient trading venues that eliminate the hidden risks of centralized intermediaries. This pushes innovation towards fully onchain, unified risk engines.
  2. Explore platforms that integrate multiple DeFi primitives (spot, perp, lending) under a single, onchain risk engine. These venues offer superior capital efficiency and potentially higher risk-adjusted returns for sophisticated strategies like basis trades.
  3. The next wave of DeFi success will come from platforms that solve for capital productivity and verifiable safety, attracting institutional and sophisticated retail capital by offering returns previously unattainable in fragmented or opaque markets.
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February 1, 2026

Crypto is so Cooked.

Taiki Maeda

Crypto
Key Takeaways:
  1. The Macro Shift: Institutional capital flow dictates market cycles; the current downturn purges weak projects, paving the way for a value-driven recovery.
  2. The Tactical Edge: Identify projects with genuine value accrual, strong fundamentals, and potential for buybacks, preparing to dollar-cost average into these "Carvana" plays.
  3. The Bottom Line: The current "gross" feeling is a signal to strategically deploy capital into long-term, high-conviction assets, rather than short-term trading.
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February 1, 2026

Looking for Gains Right Now? Crypto Isn’t the Trade — This Is: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Capital is migrating from speculative, long-tail crypto assets to tokenized real-world assets and sophisticated derivatives. This reflects a broader market demand for yield, hedging, and perceived stability.
  2. Explore tokenized commodities (gold, silver) and equity perpetuals for new leverage and yield opportunities. Exercise extreme caution with prediction markets and weekend tokenized equity trading due to information asymmetry and manipulation risks.
  3. The crypto market is maturing beyond pure digital assets, integrating with traditional finance through tokenization and derivatives. Position your portfolio to capture value from this convergence, prioritizing robust liquidity and verifiable information over pure speculation.
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January 31, 2026

New Fed Chair Nominee Kevin Warsh, Gold and silver plunge and the Rotation Trade is On.

The Rollup

Crypto
Key Takeaways:
  1. The Macro Reallocation: As global liquidity loosens and traditional assets falter, capital is migrating from "atoms" (metals) to "bits" (crypto), particularly into DeFi protocols offering superior yield and ownership.
  2. The Tactical Edge: Investigate DeFi neo-banks like Superform that aggregate yield, simplify UX, and offer tokenized ownership. These platforms are positioned to capture retail and institutional capital seeking higher returns and self-custody.
  3. The Bottom Line: A crypto-friendly Fed, capital rotation from traditional assets, and maturing user-owned DeFi platforms mean the next 6-12 months will see significant growth in onchain finance, making it a critical area for strategic investment and building.
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January 31, 2026

Why Altcoins Are Dead & What's Replacing Them with Bitget CEO, Gracy Chen

The Rollup

Crypto
Key Takeaways:
  1. Global liquidity, traditionally seeking refuge in gold and equities, is increasingly flowing into Bitcoin and tokenized real-world assets on compliant crypto platforms. This economic reality is forcing exchanges to prioritize regulated, high-value offerings over speculative altcoins.
  2. For builders, pivot from pure cryptonative narratives to projects with tangible products, clear revenue models, and infrastructure plays (RWA, AI, stablecoins). For investors, accumulate Bitcoin and explore tokenized traditional assets on compliant universal exchanges, recognizing the market's flight to quality.
  3. The crypto market is maturing, demanding real value and regulatory adherence. Over the next 6-12 months, success will hinge on participating in platforms and projects that bridge traditional finance with blockchain, leaving pure altcoin speculation behind.
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