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AI Podcasts

December 31, 2025

Infinity, Paradoxes, Gödel Incompleteness & the Mathematical Multiverse | Lex Fridman Podcast #488

Lex Fridman

AI
Key Takeaways:
  1. The move from a singular "Universe" view to a "Multiverse" perspective mirrors the transition from centralized monoliths to fragmented, interoperable ecosystems.
  2. Build systems that fail gracefully when hitting Gödelian limits.
  3. Truth is a vast ocean while proof is a small boat. Your roadmap must account for the reality that your system will eventually encounter truths it cannot verify.
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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. The Macro Pivot: Outcome-Based Intelligence. We are moving from AI as a Service to Results as a Service where software value is tied to revenue generation rather than seat licenses.
  2. The Tactical Edge: Verticalize the Data. Build in sectors with non-public outcome data to create a compounding moat that resists commoditization by foundation models.
  3. The winners of 2026 will be those who use AI to solve core human needs for connection and discovery while building defensible, data-rich business models.
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December 31, 2025

AutoGrad Changed Everything (Not Transformers) [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Transition: Moving from "Big Model" monoliths to "Lots of Little Models" where distributed Bayesian assets represent specific physical objects.
  2. The Tactical Edge: Prioritize "Object-Centered" architectures that track uncertainty. This allows robots to "phone a friend" when encountering novel data.
  3. The LLM era is hitting a wall of implicit representation. The next 12 months belong to those building explicit, causal world models grounded in physics rather than language.
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December 31, 2025

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Latent Space

AI
Key Takeaways:
  1. The move from "bigger is better" to "smarter is cheaper" as token efficiency becomes the primary metric for agentic success.
  2. Prioritize building on models that demonstrate high performance on "graph walk" evals to ensure your long-context applications actually work.
  3. Utilitarian and efficient models that prioritize task completion over cheery personality will dominate the developer market.
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December 31, 2025

[State of Evals] LMArena's $100M Vision — Anastasios Angelopoulos, LMArena

Latent Space

AI
Key Takeaways:
  1. The Macro Trend: The transition from static benchmarks to live human-in-the-loop evaluation. As models saturate fixed tests, the only remaining signal is subjective human preference at scale.
  2. The Tactical Edge: Monitor secret model drops on Arena to spot frontier capabilities before official releases. This provides a lead time advantage for builders choosing their tech stack.
  3. The Bottom Line: Arena is the new kingmaker. If you are building AI products, their expert-tier data is the most reliable map for navigating the frontier.
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December 31, 2025

[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual

Latent Space

AI
Key Takeaways:
  1. The move from small models to medium models (15B to 70B) suggests that reasoning capability is outstripping the desire for low-latency edge deployment.
  2. Implement instruction-following re-rankers to prune your context window. This prevents the model from getting confused by irrelevant data.
  3. Stop building toys. The next year belongs to those who can build full agentic systems that handle billions of tokens without losing the plot.
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December 31, 2025

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Latent Space

AI
Key Takeaways:
  1. The wall between RL and self-supervised learning is crumbling, leading to a unified "representation-first" approach to AI.
  2. Swap your reward-heavy objectives for contrastive representation learning to access deeper, more stable architectures.
  3. If you aren't planning for RL models with 100x the current depth, you're building for the past.
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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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Crypto Podcasts

December 24, 2025

How Crypto Users Get Rekt and How You Can Stay Safe

Unchained

Crypto
Key Takeaways:
  1. The Human Layer Exploit. As code becomes more robust, the attack surface moves to the people managing it. Security is now an HR and psychology problem as much as a technical one.
  2. Deploy YubiKeys. Replace SMS and app-based 2FA with hardware keys to stop phishing. If a site cannot talk to your physical key, the attacker cannot steal your session.
  3. Security is a process of adding layers, not a one-time audit. If you do not have a "blast radius" strategy to isolate your funds, you are one bad click away from a total loss.
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December 24, 2025

Regulation Shifts as Security Becomes the Real Risk

Unchained

Crypto
Key Takeaways:
  1. The Macro Evolution: The Institutional Osmosis. Crypto is no longer a parallel universe but a high-speed rail for traditional assets.
  2. The Tactical Edge: Audit Your Humans. Implement "Camera-On" policies and cross-verify identities via physical meetups to neutralize remote infiltration.
  3. The Bottom Line: Survival in the next 12 months depends on moving from "Degen" security to "Enterprise" resilience as the lines between Coinbase and BlackRock vanish.
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December 23, 2025

The End of Forever Games Is Closer Than You Think

The DCo Podcast

Crypto
Key Takeaways:
  1. The Macro Shift: Content Abundance vs. Attention Scarcity. As AI makes the "what" of gaming cheap, the "where" (distribution) and "who" (high-LTV users) become the only defensible assets.
  2. The Tactical Edge: Skin the Game. Use AI to rapidly iterate on visual assets for existing mechanics to capture trending subcultures within crypto communities.
  3. The Bottom Line: The future of gaming isn't about building a 10-year world; it's about building high-fidelity, ephemeral experiences that drive value to on-chain ecosystems.
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December 23, 2025

Ben Cowen on Where Crypto is Going in 2026

Bankless

Crypto
Key Takeaways:
  1. The Macro Shift: Macro gravity is currently winning as high interest rates suppress risk-on assets while AI captures the remaining speculative energy.
  2. The Tactical Edge: Accumulate Ethereum only when it enters the regression band and Bitcoin when it touches the 200-week moving average.
  3. The Bottom Line: The next major opportunity likely arrives in the summer of 2026 when monetary policy finally turns accommodative and the labor market stabilizes.
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December 23, 2025

How Kamino Became Solana's Largest Lending Protocol | Marius Ciubotariu

Lightspeed

Crypto
Key Takeaways:
  1. The transition from utilization-based pools to intent-based matching engines is the next evolution of DeFi. This movement mirrors the move from AMMs to order books in spot trading.
  2. Monitor the rollout of Kamino’s fixed-rate products to lock in borrowing costs for geared positions. This move protects against the volatility of variable rate markets during high-activity periods.
  3. Kamino is positioning itself as the back-end for the next generation of fintech. If they successfully bridge off-chain collateral, the protocol moves from a crypto-native tool to a global financial utility.
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December 23, 2025

Why Privacy Is Finally Making A Comeback (...And What Comes Next)

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: The Truth Layer. As AI erodes the reliability of information, the market will value proof of origin over privacy of data.
  2. The Tactical Edge: Audit the Stack. Integrate ZK-based verifiability into your data pipelines now to future-proof against AI-generated exploits.
  3. The Bottom Line: The next decade belongs to systems that provide cryptographic certainty in an uncertain world.
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