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AI Podcasts

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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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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Crypto Podcasts

April 7, 2025

Trump vs Markets: Who Blinks First? | Avi Felman & Jonah Van Bourg

Forward Guidance

Crypto
Key Takeaways:
  1. Buy the Fear (Strategically): Extreme volatility, record volume, and forced selling signal potential bottoms; scaling into weakness is preferred over trying to perfectly time the low.
  2. Crypto Gains Relative Strength: Bitcoin benefits from deglobalization trends and anticipated global stimulus (ex-US), potentially outperforming traditional assets in this environment.
  3. Inflation Fears Overblown, Fed Pivot Likely: The market crash itself is deflationary; expect the Fed to tolerate the pain to kill inflation, then pivot towards easing (likely starting May), further supporting risk assets eventually.
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April 7, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Trump's Gambit: The tariff chaos might be a high-stakes strategy to isolate China, forcing allies to choose sides and share the burden of the US security umbrella.
  2. Buy the Blood (Carefully): With equities down ~20% and VIX elevated, it's time to cautiously scale into risk assets, accepting potential short-term pain to catch an eventual rebound.
  3. Bitcoin's Edge: De-globalization and reactive global stimulus position Bitcoin favorably, potentially decoupling (or at least outperforming) traditional assets in the near term.
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April 7, 2025

Hating on Crypto (With Love) | Felix Jauvin & James Christoph

0xResearch

Crypto
Key Takeaways:
  1. **Stablecoin Issuers are Cash Cows:** Companies like Circle (IPO soon) benefit massively from yield capture on reserves; regulation might even lock this in.
  2. **DeFi Degens vs. TradFi Suits:** Expect ongoing clashes as institutional capital demands simpler structures, challenging crypto's complex governance/token models.
  3. **Meme Coins Aren't Dying:** Despite drawdowns, platforms like Pump.fun show meme creation/trading has strong, persistent demand and revenue generation.
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April 7, 2025

Ethereum Co-Founder: Why Crypto Has Failed | Gavin Wood

Empire

Crypto
Key Takeaways:
  1. Crypto Has Lost Its Way: The industry's obsession with hype and speculation diverts resources and attention from building genuine, society-improving utility based on Web3 ideals.
  2. Tech Matters, But Adoption is Slow: Superior technology (scalability, economic independence, coherence like JAM aims for) is crucial, but overcoming market inertia, hype-driven funding, and user stickiness takes significant time.
  3. Web3 Urgently Needed for AI Era: Trust-minimized Web3 systems, especially robust Proof of Personhood, are critical defenses against the centralizing, trust-based nature of AI to maintain individual sovereignty and reliable information.
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April 5, 2025

Zora coins are the future of content creation #crypto #eth #sol #web3 #zora

Bankless

Crypto
Key Takeaways:
  1. Content Becomes an Asset: Zora allows creators to transform any media into a tradable coin, capturing economic value directly tied to its perceived worth and audience engagement.
  2. Engagement = Trading Volume: The primary metric for crypto-native engagement on Zora is trading volume, which directly translates into creator rewards in ETH and the content's specific token.
  3. Own What You Love: Zora enables fans to directly own a piece of the content they value, creating a powerful alignment between creator success and audience investment.
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April 4, 2025

This Is What Capitulation Feels Like | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. Capitulation Near, But Timing Tricky: Close hedges now; consider tactical longs (calls) soon, but be ready to sell the bounce as it's likely a bear market rally.
  2. Policy is the Pivot: Market relief likely requires Trump blinking on tariffs or significant fiscal stimulus announcements; don't wait for the Fed to save the day.
  3. Watch Relative Strength: Bitcoin and Homebuilders show surprising resilience, offering potential clues or opportunities amidst the chaos. Commodities look oversold but need confirmation.
See full notes