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AI Podcasts

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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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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Crypto Podcasts

December 17, 2025

Lighter vs Hyperliquid: Fees, Fairness, and ADLs - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. Predictable Risk Management is Paramount: DeFi's long-term success hinges on building transparent, predictable, and fair risk management systems that demonstrably outperform TradFi, especially for institutional players.
  2. Incentive Alignment is Critical: Investors and builders must scrutinize the relationship between DevCo equity and protocol tokens. Misaligned incentives can lead to value destruction for token holders during M&A or other strategic shifts.
  3. The "So What?": The next 6-12 months will see continued innovation in DEX fee models (Lighter's zero-fee tier for retail), RWA derivatives (FX, fixed income), and composability (Lighter's ZKVM sidecar). However, the underlying tension between decentralization ideals and market realities will persist, demanding robust solutions for ADL, governance, and value accrual.
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December 16, 2025

How Hylo Is Accelerating Solana DeFi In 2026 | Plish

Lightspeed

Crypto
Key Takeaways:
  1. Productive Stablecoins are Key: The transition from unproductive to productive stablecoins like hUSD is a significant catalyst for Solana DeFi growth, attracting capital by offering intrinsic yield.
  2. Builders, Simplify Leverage: Hylo's success with xSOL demonstrates the demand for simplified, liquidation-proof leverage products. Builders should focus on making complex DeFi primitives accessible through intuitive design.
  3. The X-Asset Frontier: Hylo's move into XBTC and other X-assets signals a broader trend: tokenizing leverage for diverse crypto assets will be a major growth driver for DeFi in the next 6-12 months.
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December 16, 2025

JPMorgan Goes Onchain as the Fed Cuts & Why Bitcoin Can’t Break Out - Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Institutional Inevitability: Major financial institutions will continue tokenizing traditional assets, creating a clear, low-risk entry point for TradFi into crypto.
  2. Builder Focus: Build infrastructure that bridges TradFi and crypto, or specialize in high-throughput retail solutions. Regulatory compliance and education are paramount.
  3. Market Patience: Expect continued pressure on high-beta crypto assets until a clear market shift occurs, likely requiring high-beta assets to become oversold and the "value" rally to top out.
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December 16, 2025

Visa Stablecoin Strategy, N3on Crashout, AXL Acquisition, JPMorgan MMF on Ethereum & Nexus x Rialo

The Rollup

Crypto
Key Takeaways:
  1. Strategic Implication: The future of crypto is increasingly defined by institutional adoption, driven by the need for verifiable, private, and compliant digital assets and systems.
  2. Builder/Investor Note: Focus on foundational technologies like ZK proofs and secure interoperability. Avoid speculative retail trends that lack long-term utility.
  3. The "So What?": The convergence of AI and blockchain will redefine trust. Builders who integrate ZKPs to authenticate AI outputs and ensure agent accountability will capture significant value in the next 6-12 months.
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December 16, 2025

10 Crypto Predictions for 2026: $1M BTC, Wall Street Onchain & ETF Takeover

Bankless

Crypto
Key Takeaways:
  1. Strategic Implication: Crypto is transitioning from a niche, retail-driven asset class to a mainstream, institutionally-backed financial infrastructure. This shift will drive sustained growth, reduced volatility, and lower correlation with traditional assets.
  2. Builder/Investor Note: Re-evaluate crypto allocations, recognizing the shift from retail-driven cycles to institutional adoption. Explore diversified exposure beyond Bitcoin, including ETH, Solana, and high-quality DeFi tokens as their economic capture improves. The rise of on-chain vaults indicates demand for professional, diversified asset management strategies on-chain.
  3. The "So What?": The market is vastly underestimating the fundamental progress and institutional acceptance of crypto. The "suit coiners" are bullish for a reason, and their capital will reshape the landscape in 2026 and beyond.
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December 15, 2025

When Do We Buy, Global M2, Does Crypto Need A Catalyst, & Owning Your L’s

1000x Podcast

Crypto
Key Takeaways:
  1. Strategic Implication: The crypto market is maturing. Expect smaller percentage returns and less volatile swings, but a stronger foundation for assets with real value.
  2. Builder/Investor Note: Focus on Bitcoin accumulation in the identified value zone. Avoid speculative altcoin bets unless they demonstrate clear utility and sustainable economics.
  3. The "So What?": The market is in a temporary lull due to year-end flows and M2 divergence. Position for a potential rebound in January, driven by fresh capital and anticipated Western stimulus.
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