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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

February 2, 2026

The Last Companies That Will Ever Exist

Bankless

Crypto
Key Takeaways:
  1. The global economy is transitioning from a "bits" era of digital innovation to an "atoms" era, driven by AI and robotics, where control over physical resources and their efficient deployment becomes the ultimate competitive advantage.
  2. Prioritize investments in companies demonstrating vertical integration across intelligence, energy, and labor, especially those building physical infrastructure and manufacturing capabilities at scale.
  3. The race to acquire the "Infinity Gauntlet" of capitalism is on. Companies that achieve self-sufficiency in intelligence, energy, and labor will redefine economic power, making traditional capital almost irrelevant and creating a new class of unassailable monopolies.
See full notes
February 2, 2026

Logan Jastremski: Solana vs Hyperliquid - Who Wins The Global Exchange Race?

Delphi Digital

Crypto
Key Takeaways:
  1. The global financial system demands 24/7, credibly neutral price discovery. This pushes blockchain architecture beyond raw throughput to geographically optimized, low-latency transaction inclusion, creating a truly global market.
  2. Invest in infrastructure and applications on chains pursuing multi-leader consensus and proprietary AMMs. These designs offer superior price discovery and execution for the next generation of global trading.
  3. The global exchange race is an engineering marathon, not a sprint. While Hyperliquid excels regionally, Solana's architectural bet on physics-defying global fairness aims to become the world's true price oracle, unlocking trillions in new trading volume.
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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.
See full notes