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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

October 21, 2025

Inside Coinbase’s $375m Acquisition of Echo | Shan Aggarwal

Empire

Crypto
Key Takeaways:
  1. Becoming the Capital Stack: Coinbase's endgame is not just being a crypto exchange but providing the full, end-to-end infrastructure for any company—crypto or traditional—to issue, manage, and raise capital on-chain.
  2. Acquire Missionaries, Not Mercenaries: Their M&A success hinges on a proactive, culture-first approach. They identify strategic needs, hunt for the best teams, and integrate them deeply, ensuring founders stay long after their earnouts expire.
  3. Prediction Markets are the Next Trojan Horse: Coinbase is betting big on prediction markets to onboard the next wave of mainstream users, using familiar activities like sports betting as an accessible entry point into the crypto ecosystem.
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October 21, 2025

What's Happening to Crypto Markets? The Onchain Data That Explains Everything

Bankless

Crypto
Key Takeaways:
  1. Leverage Overload, Fundamental Weakness. Record leverage created a "house of cards" structure. Without strong underlying spot volume and new buyers, the market became highly susceptible to cascading liquidations.
  2. The Profits Are In. Long-term Bitcoin holders have already cashed out nearly twice the profit they did last cycle ($900B vs. $500B), indicating the "wealth distribution" phase is well underway.
  3. The Line in the Sand. The key level to watch is Bitcoin's 50-week moving average (around $102k). As long as Bitcoin holds above it, the bull market structure remains intact; two weekly closes below it would be a strong confirmation that the cycle is over.
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October 20, 2025

Sol Strategies: What Meme Coins Revealed About Solana

The DCo Podcast

Crypto
Key Takeaways:
  1. **Volume is the Best Validation**: Meme coins proved Solana isn't just fast in theory; it can handle transactional loads that surpass major centralized exchanges, making it a credible platform for serious financial assets.
  2. **Simplicity Wins**: Solana’s killer feature is its seamless user experience. By eliminating the bridging and multi-chain complexities of rivals, it has created a low-friction environment that attracts both developers and mainstream users.
  3. **The Next Frontier is Tokenization**: The meme coin craze was the chaotic opening act. The main event is the tokenization of real-world assets, and Solana’s proven performance has positioned it as the frontrunner to become the settlement layer for this new market.
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October 20, 2025

Welcome to Forward Guidance

Forward Guidance

Crypto
Key Takeaways:
  1. Stop Reacting, Start Anticipating: The market’s direction is a better economic predictor than official data. Focus on forward guidance, not rearview-mirror analysis.
  2. Bitcoin Is a Macro Asset: The primary thesis for assets like Bitcoin stems from the structural debasement of fiat currencies. Analyze it through the lens of global liquidity and monetary policy.
  3. Trust the Market, Not the Fed: The bond market can and will reject central bank policy. When market signals contradict official narratives, pay attention—the market is often right.
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October 20, 2025

How Futarchy Ends the Rug Pull Era

Bankless

Crypto
Key Takeaways:
  1. From Voting to Value: Futarchy transforms governance from a popularity contest into a pure value-maximization engine, where the only thing that matters is whether a decision increases the token's price.
  2. Investor Protection on-Chain: By locking funds in a market-governed treasury, Futarchy offers automated, code-enforced investor protections that mimic—and may even surpass—traditional shareholder rights.
  3. The End of the Rug Pull Era: Platforms like MetaDAO create a new asset class of "ownership coins" where the incentive to rug is eliminated, signaling a potential turning point for the quality and reliability of crypto investments.
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October 17, 2025

Inside the Minds Shaping the Next Internet

The DCo Podcast

Crypto
Key Takeaways:
  1. **Invisible Blockchain is the Endgame.** The biggest barrier to mass adoption is user experience. The ultimate winners will make crypto so seamless that users don't even realize they're using it.
  2. **Revenue Beats Hype.** The industry is maturing from extractive schemes to sustainable businesses. Valuations must follow suit, focusing on ecosystem health, attention, and earned revenue—not just mints.
  3. **Coordination Creates Wealth.** Crypto's core innovation is "human coordination on steroids," a force powerful enough to potentially trigger the largest single wealth creation event in the internet's history.
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