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AI Podcasts

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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December 31, 2025

[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire

Latent Space

AI
Key Takeaways:
  1. The transition from Black Box to Glass Box AI. Trust is the next moat, and interpretability is the tool to build it.
  2. Use feature probing for high-stakes monitoring. It is more effective and cheaper than using LLMs as judges for tasks like PII scrubbing.
  3. Understanding model internals is no longer just a safety research project. It is a production requirement for any builder deploying AI in regulated or high-stakes environments over the next 12 months.
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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 means benchmarks are moving from static snapshots to active environments.
  2. Integrate unsolvable test cases into internal evaluations to measure model honesty.
  3. Success in AI coding depends on navigating the messy, interactive reality of production codebases rather than chasing high scores on memorized puzzles.
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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 center of gravity in AI is moving from closed-door pre-training to open-source compound systems that prioritize context management.
  2. Identify research teams with long histories of collaboration and fund them before they incorporate to capture the highest upside.
  3. Open research is the only way to maintain a democratic and competitive AI ecosystem against both closed labs and international rivals.
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December 29, 2025

Beyond the Code: The Books That Shaped the Minds of AI Leaders

Turing Post

AI
Key Takeaways:
  1. The transition from technology push to market pull requires builders to stop focusing on the stack and start obsessing over user psychology.
  2. Apply the Mom Test by asking users about their current workflows instead of pitching your solution. This prevents building expensive features that nobody uses.
  3. The next decade of AI will be won by those who understand the human condition as deeply as they understand the transformer architecture.
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December 29, 2025

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Moving from "In-Context Learning" to "Weight-Based Memory" to bypass the quadratic costs of attention.
  2. The Tactical Edge: Use synthetic data generation to augment your fine tuning sets and prevent the model from forgetting its base knowledge.
  3. RAG is a stopgap. The long term winners will be those who build "neural file systems" where the model inherently knows the data.
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December 29, 2025

Where does consumer AI stand at the end of 2025?

a16z

AI
Key Takeaways:
  1. The "Everything App" is a myth. We are moving from general chat boxes to agentic workspaces that operate across your entire software stack.
  2. Build opinionated. Use the current model quality to solve one specific, high-value workflow rather than competing for the general assistant crown.
  3. 2026 is the year of the builder. The infrastructure is ready, the compute tension is real for Labs, and the market is hungry for products with a soul.
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Crypto Podcasts

October 17, 2025

Global Liquidity Cycle & the Worldwide Rush Into Hard Assets | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. Hard Assets Are The Only Exit. Governments must monetize their staggering debt, making monetary inflation hedges like gold and crypto essential. Gold’s recent surge is the canary in the coal mine, signaling a major catch-up move for Bitcoin is imminent.
  2. Forget the Trade War; Watch the Capital War. The real global conflict is financial. The US is building its future on digital dollars (stablecoins), while China is anchoring its system to gold. This divergence will define capital flows for the next decade.
  3. The Bitcoin 4-Year Cycle Is Dead. Treat Bitcoin as a global macro asset driven by liquidity and its relationship with gold. Its recent price consolidation is a sign of distribution from old hands to new institutional players, setting the stage for its next major move.
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October 15, 2025

Kyle Samani Thinks Solana Will Overtake Bitcoin and ETH

The DCo Podcast

Crypto
Key Takeaways:
  1. Utility Trumps Scarcity: The most valuable crypto asset will be the one powering the most economic activity, not simply the one with the most predictable supply.
  2. Solana’s Technical Roadmap is Key: A future state with multiple concurrent block producers will give Solana a decisive advantage in censorship resistance and performance over its rivals.
  3. Bet on SOL to Flip BTC: Samani’s core investment thesis is that as Solana’s real-world adoption becomes undeniable over the next decade, SOL is positioned to become the world’s number one crypto asset.
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October 15, 2025

Crypto's Biggest Liquidation, DAT Strategies, & The Purification Trade | Jeff Park

Forward Guidance

Crypto
Key Takeaways:
  1. Consolidation is Coming: The recent retail wipeout will likely funnel capital into higher-quality assets, with Bitcoin positioned to front-run altcoins in a reversal of typical bull market cycles.
  2. Reframe Debasement as Purification: The simultaneous rise of gold and Bitcoin isn't just a hedge; it's a fundamental repricing of value and a cleansing of a broken financial system, driven by geopolitical strategy.
  3. DATs are Not ETFs: Digital Asset Treasuries offer an active approach to crypto exposure, with smaller players uniquely positioned to capture on-chain alpha that is impossible for mega-holders to access.
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October 13, 2025

The Most Important Video I’ll Make This Year

Taiki Maeda

Crypto
Key Takeaways:
  1. **The Game Has Changed.** Stop trying to win by spot-buying overvalued altcoins in a market dominated by insiders. The real, sustainable edge is found on-chain through airdrop farming, which allows you to acquire tokens at a low cost basis and sell them to market hype.
  2. **Become an All-Weather Farmer.** Structure your portfolio defensively. A 50%+ stablecoin allocation is not being sidelined; it's a dry powder reserve that allows you to farm, hedge, and survive while others get wiped out. Your upside comes from farming, not from being 100% long.
  3. **Airdrops Are Your Asymmetric Bet.** Treat airdrop points as a call option on the entire crypto market. This allows you to stay risk-off with a large stablecoin position while retaining explosive upside potential if the market runs, creating a win-win scenario.
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October 14, 2025

LIVE from Digital Asset Summit

Forward Guidance

Crypto
Key Takeaways:
  1. The Crash Was Technical, Not Existential: This wasn't another Luna. It was a liquidity-driven cascade originating from centralized exchanges that wiped out leveraged retail, while DeFi infrastructure proved its mettle. The fundamental bull case remains intact.
  2. Bitcoin is a Different Animal: The stark performance divergence between a resilient Bitcoin and collapsing altcoins is the clearest signal yet that BTC now plays in a different, institutionalized league. The speculative fervor in "useless alts" is dead for the foreseeable future.
  3. Institutions Are Buying the Debasement Story, Not the Dip: Professional investors, insulated by ETFs, completely missed the weekend's volatility. Their focus is unchanged: allocating more capital (now 3-5%) to the "purification trade" as a hedge against unstoppable fiat debasement.
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October 11, 2025

ETH Supply Shock Could Ignite Explosive Rally

Forward Guidance

Crypto
Key Takeaways:
  1. Supply Shock Imminent: Corporate ETH accumulation is happening faster and with greater relative market impact than Bitcoin's history, creating a coiled spring for price.
  2. The Stage is Set: Profit-taking from old holders is complete, hype has died down, and leverage has been wiped out. The path of least resistance for ETH is now up.
  3. Follow the Smart Money: ETH is not just a crypto play; it's a macro-correlated, high-beta bet endorsed by some of the world's sharpest investors.
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