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AI Podcasts

December 31, 2025

Infinity, Paradoxes, Gödel Incompleteness & the Mathematical Multiverse | Lex Fridman Podcast #488

Lex Fridman

AI
Key Takeaways:
  1. The move from a singular "Universe" view to a "Multiverse" perspective mirrors the transition from centralized monoliths to fragmented, interoperable ecosystems.
  2. Build systems that fail gracefully when hitting Gödelian limits.
  3. Truth is a vast ocean while proof is a small boat. Your roadmap must account for the reality that your system will eventually encounter truths it cannot verify.
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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. The Macro Pivot: Outcome-Based Intelligence. We are moving from AI as a Service to Results as a Service where software value is tied to revenue generation rather than seat licenses.
  2. The Tactical Edge: Verticalize the Data. Build in sectors with non-public outcome data to create a compounding moat that resists commoditization by foundation models.
  3. The winners of 2026 will be those who use AI to solve core human needs for connection and discovery while building defensible, data-rich business models.
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December 31, 2025

AutoGrad Changed Everything (Not Transformers) [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Transition: Moving from "Big Model" monoliths to "Lots of Little Models" where distributed Bayesian assets represent specific physical objects.
  2. The Tactical Edge: Prioritize "Object-Centered" architectures that track uncertainty. This allows robots to "phone a friend" when encountering novel data.
  3. The LLM era is hitting a wall of implicit representation. The next 12 months belong to those building explicit, causal world models grounded in physics rather than language.
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December 31, 2025

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Latent Space

AI
Key Takeaways:
  1. The move from "bigger is better" to "smarter is cheaper" as token efficiency becomes the primary metric for agentic success.
  2. Prioritize building on models that demonstrate high performance on "graph walk" evals to ensure your long-context applications actually work.
  3. Utilitarian and efficient models that prioritize task completion over cheery personality will dominate the developer market.
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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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Crypto Podcasts

July 26, 2025

Base Just Launched Crypto's Everything App | Jesse Pollak

Bankless

Crypto
Key Takeaways:
  1. Content is the New Capital: The Base App transforms every post into a tradable asset. This makes content creation a direct form of capital formation, rewarding creators for attention in a way that’s native to the internet of value.
  2. The Rise of the Native Creator: The biggest winners on Base won't be Web2 transplants, but new creators who master the platform's unique blend of content and commerce. The strategy is to find and elevate undiscovered talent from every vertical.
  3. From Algorithm to Free Market: Base is trading the black box of social media algorithms for the transparent chaos of a free market. The central experiment is whether market-based incentives can build a healthier, more aligned social network.
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July 25, 2025

Crypto Hits Record $4 Trillion Marketcap BUT We're Just Getting Started

Bankless

Crypto
Key Takeaways:
  1. **ETH is the New Institutional Primitive.** The "ETH Treasury" model is a new unlock, leveraging ETH's native yield to create a self-financing acquisition engine that is attracting billions in institutional capital.
  2. **The Floodgates Are Open.** The Genius Bill and explosive ETF inflows are not just bullish signals; they are structural shifts that are unleashing a torrent of capital and legitimizing the asset class for mainstream finance.
  3. **Risk is Ramping.** The excitement is palpable, but so is the risk. The treasury meta feels like a potential bubble, and legal threats against core DeFi and infrastructure remain a significant overhang. Buyer beware.
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July 24, 2025

Hash Rate - Ep 123 - YUMA's Big Bittensor Bet

Hash Rate pod - Bitcoin, AI, DePIN, DeFi

Crypto
Key Takeaways:
  1. The Playbook is Proven. YUMA is running DCG's time-tested Bitcoin strategy on Bittensor—solving access, building infrastructure, and investing to catalyze the entire ecosystem.
  2. The Arbitrage is Complexity. Subnets are wildly undervalued compared to Web2 counterparts. The friction to invest creates a massive opportunity for sophisticated players and platforms (like YUMA and Sturdy) that can simplify it.
  3. The Moat is More Than Code. Bittensor's defense isn't just its protocol. It’s the flywheel of token incentives, a deeply committed community, and a decade-long head start on solving hard problems—a combination that capital alone can't easily replicate.
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July 24, 2025

Why I Ditched Bitcoin Mining for Ethereum

Bankless

Crypto
Key Takeaways:
  1. **The Bitcoin Mining Business is Broken.** The model of guaranteed profit-halving and a relentless hardware arms race is unsustainable, forcing miners to pivot to more viable ventures like AI infrastructure or ETH staking.
  2. **Ethereum's Target is 10x Bigger Than Bitcoin's.** Ethereum isn't competing with Bitcoin; it's competing with the multi-trillion-dollar traditional finance industry. Its utility in powering stablecoins and DeFi makes its total addressable market exponentially larger.
  3. **A New "Race to a Billion" in ETH Has Begun.** The new competitive arena for public crypto companies is the ETH treasury. Success hinges on aggressive acquisition, capturing investor mindshare, and—critically—generating superior, risk-adjusted yield through staking.
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July 23, 2025

Exposing Crypto Market Makers With Matt Jobbé-Duval

Lightspeed

Crypto
Key Takeaways:
  1. **The Playbook is a Trap.** So-called "active market making" is a destructive financing loop. Projects trade their future for a brief, artificial price pump fueled by selling locked tokens at catastrophic discounts.
  2. **Perps Are the Canary in the Coal Mine.** A sudden, plummeting perpetual futures funding rate is a massive red flag. It often signals that insiders are rushing to hedge their positions before an imminent and devastating spot price collapse.
  3. **Your Chart Is Your Reputation.** Once a token's chart is destroyed by one of these schemes, it becomes incredibly difficult to be taken seriously by the community, investors, or builders, leaving a permanent stain on the project's credibility.
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July 22, 2025

Trading Bitcoin Cycles With Willy Woo

1000x Podcast

Crypto
Key Takeaways:
  1. Don't Get Sidelined. Most of the cycle's gains happen in a handful of days. Trying to trade in and out of a bull market is a high-risk strategy that can easily leave you behind.
  2. Watch the Macro Clock. The Bitcoin cycle top will be dictated by the timing of the global business downturn. This, not internal metrics, is the primary indicator to watch.
  3. Use Price Levels as Triggers, Not Targets. If the macro downturn hits this year, a cycle top in the $140k-$160k range is plausible. Use these levels to re-evaluate risk rather than trying to perfectly time an unknowable peak.
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