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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

August 26, 2025

Ep 46 — How to Turn a Dying NFT Collection into a $50M Cultural Empire in Web3 ft. Luca Netz

The DCo Podcast

Crypto
Key Takeaways:
  1. **Valuation is Evolving.** The most durable crypto projects will be judged not on tokenomics alone, but on a triad of community strength (Ecosystem), marketing reach (Attention), and real-world cash flow (Revenue).
  2. **Centralization Wins the Consumer.** The next billion users will not navigate a dozen dApps. They will be onboarded through simplified, centralized super-apps that provide a seamless and curated on-chain experience.
  3. **Reward Loyalty, Not Speculation.** Sustainable value is built by aligning with true believers. Founders should design mechanisms that reward long-term holders and actively discourage "farm-and-dump" behavior.
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August 26, 2025

Why I Sold Some Crypto & Prediction Markets Alpha

Taiki Maeda

Crypto
Key Takeaways:
  1. Re-evaluate Risk/Reward. With majors like Ethereum potentially offering symmetrical 50% upside vs. 50% downside, the rationale for holding heavy, levered positions weakens. It's time to take some chips off the table.
  2. Explore Prediction Markets. This sector offers a fresh frontier for alpha. Get active on Polymarket, farm the Limitless airdrop on Base (min. $200 bet), and join Outcome’s risk-free testnet competition to get exposure.
  3. Build a Defensive Core. Adopt assets like JLP on Solana as a portfolio cornerstone. It provides market exposure while protecting capital through its diversified pool and fees generated from retail traders, outperforming most crypto assets in a downturn.
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August 26, 2025

Will Crypto Peak in 2025… or Run Into 2026? Onchain Data Signals

Bankless

Crypto
Key Takeaways:
  1. **This Time Might Be Different.** Macro indicators like loosening bank lending standards, mid-range equity valuations, and a dovish Fed signal the business cycle is earlier than many believe, favoring a cycle extension into 2026 over a 2025 peak.
  2. **On-Chain Metrics Show No Signs of a Top.** Key on-chain data is far from euphoric. The Bitcoin Fear & Greed index is neutral, and while long-term holders are selling, it’s being absorbed without triggering the "extreme greed" that defines market tops.
  3. **Build a Concentrated, High-Conviction Portfolio.** Don't "diworsify." Anchor 70%+ of your portfolio in core assets (BTC, ETH), benchmark all other bets against them, and use small "hot sauce" allocations (5-10%) for high-risk plays while always maintaining cash to buy the dips.
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August 25, 2025

Can Rate Cuts Save Crypto’s Bull Market?

1000x Podcast

Crypto
Key Takeaways:
  1. **Macro is your north star.** The crypto market's direction is dictated by Fed policy. Rate cuts are the narrative, and trillions are waiting on the sidelines to flood into risk assets.
  2. **Take profits aggressively.** We are in the "stupid" phase of the cycle. Systematically sell portions of your holdings at 20%, 50%, and 100% gains to de-risk before the music stops.
  3. **Scrutinize DAOs.** Many are exit liquidity schemes. Only consider those with strong guardrails, like mandatory fresh capital matching, that bring new money into the ecosystem.
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August 25, 2025

Commissioner Peirce On SEC’s Next Moves

Empire

Crypto
Key Takeaways:
  1. Frameworks, Not Fights: The SEC is shifting from broad prohibitions to creating specific, workable rules for token launches. The goal is to bring this crucial capital formation activity back to the U.S. under a clear and compliant regime.
  2. Decentralization Changes the Game: True decentralization isn't just a buzzword; it fundamentally challenges the existing regulatory model. For truly peer-to-peer protocols, the old playbook of licensing intermediaries may no longer apply.
  3. The Best Defense is Utility: The crypto industry's greatest protection against future regulatory hostility is to build things with real, lasting value. Use this period of clearer skies to create products and services that prove the technology's worth beyond speculation.
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August 24, 2025

Will LINK Flip XRP? with Zach Rynes

The Rollup

Crypto
Key Takeaways:
  1. Bet on the Ecosystem, Not the Silo: Chainlink’s value is tied to the growth of the entire blockchain space, making it a diversified bet on institutional adoption. XRP’s success is a narrow wager on its own ledger and asset gaining dominance.
  2. Follow the Proof, Not the Promises: Chainlink’s public partnerships with firms like Swift and JP Morgan provide concrete evidence of traction. This stands in sharp contrast to XRP's long-unfulfilled, NDA-shrouded narrative.
  3. Infrastructure is the Ultimate Power Play: By providing a comprehensive suite of essential services (data, cross-chain, compliance), Chainlink is building a defensible moat as the go-to infrastructure platform for Web3, with no direct all-in-one competitor in sight.
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