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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 20, 2025

How Futarchy Ends the Rug Pull Era

Bankless

Crypto
Key Takeaways:
  1. From Voting to Value: Futarchy transforms governance from a popularity contest into a pure value-maximization engine, where the only thing that matters is whether a decision increases the token's price.
  2. Investor Protection on-Chain: By locking funds in a market-governed treasury, Futarchy offers automated, code-enforced investor protections that mimic—and may even surpass—traditional shareholder rights.
  3. The End of the Rug Pull Era: Platforms like MetaDAO create a new asset class of "ownership coins" where the incentive to rug is eliminated, signaling a potential turning point for the quality and reliability of crypto investments.
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October 17, 2025

Inside the Minds Shaping the Next Internet

The DCo Podcast

Crypto
Key Takeaways:
  1. **Invisible Blockchain is the Endgame.** The biggest barrier to mass adoption is user experience. The ultimate winners will make crypto so seamless that users don't even realize they're using it.
  2. **Revenue Beats Hype.** The industry is maturing from extractive schemes to sustainable businesses. Valuations must follow suit, focusing on ecosystem health, attention, and earned revenue—not just mints.
  3. **Coordination Creates Wealth.** Crypto's core innovation is "human coordination on steroids," a force powerful enough to potentially trigger the largest single wealth creation event in the internet's history.
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October 17, 2025

Gold Hits All-Time Highs, Stablecoin Adoption, and Historic Liquidations | Roundup

Bell Curve

Crypto
Key Takeaways:
  1. **The Four-Year Cycle Is Dead.** The absence of a parabolic, post-halving rally confirms a new paradigm. Investors should expect more sustained, multi-year growth fueled by institutional adoption and macro trends, pointing to a strong 2026.
  2. **Stablecoins Are Capital Formation Engines.** The primary use case isn't peer-to-peer payments; it's a new financial primitive for funding real-world assets. This is crypto’s killer app for institutions.
  3. **DeFi's Transparency Wins.** The recent liquidations proved that while CeFi remains a house of cards with opaque risks and preferential treatment for insiders, DeFi’s transparent, on-chain systems offer superior resilience.
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October 17, 2025

DAS Takeaways, Crypto’s Largest Liquidation Ever & Have We Peaked? | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. **The Great Bifurcation Is Here.** Institutional capital is flowing into Bitcoin and Ethereum, but the flash crash proved the altcoin market is a liquidity desert. Do not mistake ETF inflows for broad market support.
  2. **DeFi Won the Battle, CeFi Won the War (For Now).** Protocols like Aave performed perfectly, but the system's reliance on centralized exchange oracles was the critical point of failure. The future is hybrid, but the current integration is dangerously fragile.
  3. **Cash Flow Is King.** The era of vaporware is ending. From DATs to new tokens, the market will no longer tolerate projects without a clear path to revenue. The music has stopped for assets without a viable business model.
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October 17, 2025

Is the Crypto Bull Market Over? Gold All-Time Highs, Crypto Whipsaws: Are We Topping or Resetting?

Bankless

Crypto
Key Takeaways:
  1. Leverage is the market's double-edged sword. The $19B flash crash was a cascade failure driven by leverage, not fundamentals. It exposed the fragility of perpetual exchanges and the critical risk of Auto-Deleveraging (ADL) even for sophisticated traders.
  2. Wall Street is tokenizing everything. Larry Fink and BlackRock are building the operating system to move trillions in traditional assets on-chain. This isn't a speculative bet; it's a core strategy to capture a massive, untapped global market.
  3. Infrastructure is maturing, but risks are shifting. While core DeFi protocols proved bulletproof under stress, centralized exchanges and their oracle dependencies remain a systemic weak point, as shown by Binance's API failures and the resulting market chaos.
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October 17, 2025

Crypto Has Topped.

Taiki Maeda

Crypto
Key Takeaways:
  1. Altcoins Are Cooked. A decimated retail buyer base combined with relentless selling pressure from insider token unlocks creates a structurally bearish environment for the entire altcoin complex.
  2. Farm, Don't Buy. Stop being exit liquidity. The winning strategy is to farm airdrops to acquire tokens for free and become the one who sells at launch.
  3. Capital Preservation is King. The "one more 2x" mentality is a trap. Protect your gains by holding significant stablecoin reserves and acting quickly to de-risk. Take care of the downside, and the upside will take care of itself.
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