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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 4, 2025

Are Stablecoins the only good crypto use case?

blocmates.

Crypto
Key Takeaways:
  1. Stablecoins Reign: Forget moonshots; stablecoins are crypto's clearest win, providing real-world utility and attracting both corporate giants (Tether, Circle) and even government attention.
  2. Macro Still Matters (Kind Of): While extreme tariff news rocked traditional markets, crypto's reaction was comparatively muted – expect continued volatility, but perhaps less direct correlation than stocks anticipate.
  3. Watch Stablecoin Ecosystem Plays: While Tether and Circle dominate headlines, the narrative strength around stablecoins could create opportunities for related on-chain protocols (like Ethena, Maker) post-macro cooldown.
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April 4, 2025

Why Dan Romero built Farcaster, a decentralized social network #crypto #web3 #farcaster #eth #sol

Bankless

Crypto
Key Takeaways:
  1. Decentralized Social, Realized: Farcaster offers a tangible example of an "at-scale" decentralized social network built on crypto rails (initially Ethereum).
  2. Unlocking Social Data: The core innovation is the open, permissionless protocol, giving developers API access to build diverse applications on a shared social dataset.
  3. Beyond Cloning: While the first app looks familiar (Twitter-like), the underlying protocol enables vastly different social applications, from niche integrations to entirely new platform paradigms.
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April 3, 2025

The Trump Tariff Dump

1000x Podcast

Crypto
Key Takeaways:
  1. Buy the Fear (Selectively): Target Bitcoin dips aggressively in the $73k-$78k zone for mid-term holds, anticipating a potential reversal once tariff fears subside.
  2. Short the Weakness: Ethereum presents a compelling short opportunity targeting $1500 or lower; most altcoins remain vulnerable until market sentiment improves.
  3. Trade Nimbly, Hedge Wisely: This market rewards quick profit-taking on bounces and punishing overstayed welcomes. Use put options to hedge against unpredictable downside moves in this "once-in-80-year" tariff scenario.
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April 2, 2025

1000x "Liberation Day" Livestream

1000x Podcast

Crypto
Key Takeaways:
  1. Brace for Impact, Watch for Stimulus: Tariffs likely guarantee short-term economic pain and recession risk, but expect swift policy responses (tax cuts) if things get too dire.
  2. Bitcoin > Alts (Mostly): Prioritize Bitcoin exposure due to relative strength. Altcoins (especially ETH) face severe headwinds; shorting weak names is viable. Keep an eye on the RWA narrative.
  3. Trade the Extremes: Volatility is the game. Buy deep fear ($73-78k BTC zone), sell rips quickly, stay nimble, and don't overexpose yourself without hedges.
See full notes
April 2, 2025

A New Era of Global Capital: How Blockchains Can Fix Broken Finance

Bankless

Crypto
Key Takeaways:
  1. Finance is Moving On-Chain: The future isn't siloed databases using the internet for messaging; it's financial ledgers living on unified, open-access blockchains – the true Internet Financial System.
  2. Strong Property Rights, Stronger Economies: Blockchains provide globally accessible, technologically enforced property rights, bypassing weak local legal systems and unlocking trillions in capital – a massive driver for global development.
  3. Crypto Grows Up: The era of pure speculation and inert protocols is fading; sustainable businesses, real cash flows, and robust token holder rights are the new requirements for success and investment.
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April 1, 2025

Tim Beiko: What are the biggest misconceptions around Ethereum? #crypto #eth #ethereum #podcast

Bankless

Crypto
Key Takeaways:
  1. Timelines are Fluid Until Scheduled: Don't treat estimated Ethereum upgrade windows discussed early in development as hard deadlines; "delays" only truly occur after a specific date is set and missed.
  2. Communication is Hard: Core developers wrestle with how much certainty to project about timelines, balancing the need for transparency against the risks of premature commitment or unhelpful vagueness.
  3. Manage Expectations: Observers and investors should factor the inherent uncertainty of deep R&D into their expectations regarding Ethereum upgrade timelines.
See full notes