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AI Podcasts

December 30, 2025

Your Brain Doesn't Command Your Body. It Predicts It. [Max Bennett]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The macro pivot: The transition from static data training to interactive world models that perform active inference.
  2. The tactical edge: Prioritize AI architectures that incorporate continual learning and hypothesis testing rather than just scaling parameters.
  3. The next decade belongs to those who replicate the biological transition from observation to interactive simulation.
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December 31, 2025

The Algorithm That IS The Scientific Method [Dr. Jeff Beck]

Machine Learning Street Talk

AI
Key Takeaways:
  1. The Macro Transition: Move from Big Data mimicry to Small Data causal reasoning.
  2. The Tactical Edge: Prioritize Active Inference frameworks that track uncertainty.
  3. AGI won't come from bigger LLMs; it will come from agents that possess a physics-grounded world model.
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December 30, 2025

[State of AI Startups] Memory/Learning, RL Envs & DBT-Fivetran — Sarah Catanzaro, Amplify

Latent Space

AI
Key Takeaways:
  1. The transition from stateless chat interfaces to stateful, personalized agents that learn from every interaction.
  2. Prioritize memory. If you are building an application, treat state management and continual learning as your core technical moat to prevent user churn.
  3. Stop chasing clones of existing apps for reinforcement learning. Use real-world logs and traces to build models that solve actual engineering friction.
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December 30, 2025

[State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor

Latent Space

AI
Key Takeaways:
  1. The transition from internet-scale imitation to environment-scale RL.
  2. Build products that capture the full context of a professional's workflow to make them RL-ready.
  3. Intelligence is no longer the bottleneck. The winner will be whoever builds the best hard drive for professional context.
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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 Macro Pivot: Intelligence is moving from a scarce resource to a commodity where the primary differentiator is the cost per task rather than raw model size.
  2. The Tactical Edge: Prioritize building on models that demonstrate high token efficiency to ensure your agentic workflows remain profitable as complexity grows.
  3. The Bottom Line: The next year will be defined by the systems vs. models tension. Success belongs to those who can engineer the environment as effectively as the algorithm.
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December 31, 2025

[State of Evals] LMArena's $100M Vision — Anastasios Angelopoulos, LMArena

Latent Space

AI
Key Takeaways:
  1. The transition from static benchmarks to "Vibe-as-a-Service" means model labs must optimize for human delight rather than just loss curves.
  2. Use Arena’s open-source data releases to fine-tune models on real-world prompt distributions.
  3. In a world of synthetic data and benchmark saturation, human preference is the only remaining scarce resource for validating frontier capabilities.
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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 transition from Model-Centric to Context-Centric AI. As base models commoditize, the value moves to the proprietary data retrieval and prompt optimization layers.
  2. Implement an instruction-following re-ranker. Use small models to filter retrieval results before they hit the main context window to maintain high precision.
  3. Context is the new moat. Your ability to coordinate sub-agents and manage context rot will determine your product's reliability over the next year.
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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 convergence of RL and self-supervised learning. As the boundary between "learning to see" and "learning to act" blurs, the winning agents will be those that treat the world as a giant classification problem.
  2. Prioritize depth over width. When building action-oriented models, increase layer count while maintaining residual paths to maximize intelligence per parameter.
  3. The "Scaling Laws" have arrived for RL. Expect a new class of robotics and agents that learn from raw interaction data rather than human-crafted reward functions.
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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. The Age of Scaling is hitting a wall, leading to a migration toward reasoning and recursive models like TRM that win on efficiency.
  2. Filter your research feed by implementation ease rather than just citation count to accelerate your development cycle.
  3. In a world of AI-generated paper slop, the ability to quickly spin up a sandbox and verify code is the only sustainable competitive advantage for AI labs.
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Crypto Podcasts

September 16, 2025

Collector Crypt: Onchain Capital Markets On Solana | Tuomas Holmberg

Lightspeed

Crypto
Key Takeaways:
  1. Onchain Rails Create New Economies. By digitizing physical assets on high-performance chains like Solana, you eliminate friction around custody, settlement, and global access, unlocking novel business models like the Gotcha Machine.
  2. Real-World Logistics Are the Ultimate Moat. While anyone can build a smart contract, Collector Crypt’s defensibility comes from its physical supply chain—dealer relationships and automated acquisition tools that secure inventory below market price.
  3. Novel Oracles Unlock the Next Wave of DeFi. The future of onchain finance depends on reliably pricing illiquid, real-world assets. Developing proprietary oracles, like Collector Crypt’s, is the first step to building DeFi for everything.
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September 15, 2025

Is It Time to Rotate Out of Crypto?

1000x Podcast

Crypto
Key Takeaways:
  1. **De-Risk Your Alts.** Crypto is showing significant weakness by failing to rally with equities. Ethereum's lower high is a major red flag for the altcoin market; it's time to reduce leverage and concentrate into Bitcoin or cash.
  2. **Hunt for Value in TradFi.** Traditional markets are offering powerful narrative-driven plays with crypto-like upside. Focus on assets like Tesla (robotics), Robinhood (gambling culture), and commodities like uranium (energy independence).
  3. **Fade the ETF Narrative.** The institutional "sugar high" from ETFs is wearing off as the front-running trade becomes crowded and inflows wane. The market needs a new, more durable catalyst to move higher.
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September 15, 2025

Bittensor TAO :: Community Q+A :: Sub-Subnets, Deregistration, Yuma Consensus + more

The Opentensor Foundation | Bittensor TAO

Crypto
Key Takeaways
  1. Subnets are becoming more complex. The introduction of sub-subnets will allow for more sophisticated, multi-faceted incentive mechanisms within a single subnet, effectively turning them into "mixtures of experts."
  2. Performance is now paramount. Subnet deregistration creates a "perform or perish" dynamic. Underperforming subnets risk being automatically removed, with their assets returned to token holders as TAO.
  3. Decentralization is on the horizon. The shift to Proof-of-Stake and a formal on-chain governance structure are actively being developed, marking a deliberate move toward placing control in the hands of the community.
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September 15, 2025

How to Invest in The Debasement Era

Bankless

Crypto
Key Takeaways:
  1. Recessions Are Canceled, Inflation Is Not: Perpetual government stimulus will prevent deep downturns, but it locks in higher inflation. Plan for a ~3% floor and a market that swings between boom and stagflation.
  2. The US Super Cycle Is Over: After a historic 15-year run, US market dominance has peaked. The next decade’s alpha will be found in undervalued international markets benefiting from a weakening dollar.
  3. Build a Debasement-Proof Portfolio: Ditch long-duration bonds. Hold cash for opportunity, stay invested in global equities, and overweight hard assets like gold and crypto to preserve purchasing power.
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September 14, 2025

Can Prediction Markets Outpace Securities Trading? With Farrokh and Carlos Domingo

The Rollup

Crypto
Key Takeaways:
  1. **Prediction markets are not a niche crypto game; they are a multi-trillion dollar industry gunning for the securities market** by financializing the world's most valuable asset: information.
  2. **True tokenization will be won on open, permissionless blockchains** that enable new market structures, not closed systems offering mere efficiency gains. Institutions like BlackRock are already betting on this "open internet" thesis.
  3. **Creator tokens are a flawed model with a built-in expiration date tied to relevance.** The smarter trade is to own the casino (the platform's token), not the individual player's chips.
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September 12, 2025

The Biggest Winner from Hyperliquid’s USDH | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Distribution is the New Kingmaker. Protocols with significant user bases and transaction volume (like Hyperliquid) now have the leverage to command value from stablecoin issuers and other service providers, not the other way around.
  2. The Stablecoin Revenue Model is Broken. The era of stablecoin issuers keeping 100% of the yield from reserves is over. Expect a race to the bottom on revenue sharing, forcing issuers to innovate on product rather than just collecting yield.
  3. The Crypto IPO Window is Wide Open. With Figure’s successful public offering and Gemini’s upcoming listing, public markets are showing a strong appetite for crypto-native businesses, likely triggering a wave of IPOs from companies like Kraken, BitGo, and others.
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