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AI Podcasts

January 5, 2026

Welcome to AIE CODE - Jed Borovik, Google DeepMind

AI Engineer

AI
Key Takeaways:
  1. The transition from general-purpose LLMs to specialized coding agents that operate on the entire codebase rather than isolated snippets.
  2. Audit your current stack for agentic readiness. Prioritize tools that integrate with Gemini 3 or similar high-reasoning models to automate repetitive pull requests.
  3. Code is the substrate of the digital world. If you control the means of AI code generation, you control the speed of innovation for every other industry.
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January 5, 2026

Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

AI Engineer

AI
Key Takeaways:
  1. The industry is moving from "Chat-as-Interface" to "Computer-as-Interface" where models operate directly on file systems.
  2. Replace your complex list of fifty tools with a single Bash tool and a secure sandbox.
  3. The winners in the agent race will not build the best prompts. They will build the best infrastructure for models to execute code.
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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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Crypto Podcasts

April 14, 2025

Building the Future of Global Payments | Paul & Zaheer

0xResearch

Crypto
Key Takeaways:
  1. Specialization Wins: General-purpose blockchains struggle to optimally serve the massive, specific needs of stablecoin transfers; dedicated infrastructure like Plasma is required to unlock the next phase of growth.
  2. USDT is the Global Standard: Tether's dominance, especially outside the US, mirrors the Eurodollar system. It's the Schelling point for international digital dollars, unlikely to be displaced by domestic-focused or bank-issued alternatives.
  3. Focus on Fundamentals: Plasma bets on core utility (cheap/free, fast, secure transfers) and deep integrations over complex tokenomics, aiming to capture trillions in real-world commerce settlement.
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April 14, 2025

The Biggest Market Crash Since 2020, What Next? | Felix Jauvin & Quinn Thompson

Empire

Crypto
Key Takeaways:
  1. Valuations & Policy Collide: Overly optimistic markets hit a wall of peak valuations, expiring liquidity, and initially growth-negative policies.
  2. Bitcoin vs. The World: Bitcoin's near-term strength is tied to potential forced central bank liquidity, while major upside requires a breakdown in traditional fiscal/monetary stability. Prioritize BTC over most alts.
  3. Cash & Caution: Elevated volatility persists. Holding cash and focusing on resilient sectors (e.g., critical resources, energy) is prudent while navigating potential deleveraging events and geopolitical risks.
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April 11, 2025

Crypto Meets Chemistry :: Bittensor SN68 NOVA, Decentralized AI Drug Discovery

Opentensor Foundation

Crypto
Key Takeaways:
  1. Adversarial Advantage: Bittensor's miners are exceptionally efficient at finding flaws in AI models, turning a potential vulnerability into a powerful, real-time stress-testing mechanism crucial for robust drug discovery AI.
  2. Incentivizing Innovation: Token emissions provide funding and incentives for tackling high-risk, high-reward drug discovery challenges that traditional models struggle to support, fostering novelty over incrementalism.
  3. Digital-to-Physical Bridge: Nova plans to translate computational discoveries into real-world value through synthesis, lab validation, and strategic partnerships, aiming to become a pioneering crypto-native biotech entity.
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April 11, 2025

Trump Tariff Madness! w/ Ben Hunt & Jonah Van Bourg

Steady Lads Podcast

Crypto
Key Takeaways:
  1. Dollar Under Pressure: Aggressive US trade policies risk eroding the dollar's reserve status, making diversification into assets like gold and Bitcoin increasingly rational.
  2. Bitcoin's Moment: Bitcoin showed relative strength during market panic, bolstering its narrative as a non-sovereign hedge against policy error; it could be the "fastest horse" in a dollar diversification race.
  3. Navigating Volatility: For traders, volatility is opportunity (buy dips, anticipate intervention); for investors, it requires a long-term view, potentially adjusting allocations (e.g., less equities/bonds, more gold/BTC) and using dips strategically.
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April 11, 2025

2025 Is Solana's Biggest Year | Weekly Roundup

Lightspeed

Crypto
Key Takeaways:
  1. Solana's Tech Momentum is Real: 2025's roadmap (Firedancer, consensus changes, block space) represents a major technical leap, potentially solidifying its performance edge and driving the next narrative cycle.
  2. Narrative & TradFi Wrappers: Solana needs to refine its mainstream story. While corporate treasury plays offer indirect exposure, their long-term impact and differentiation remain uncertain without strong figureheads or unique value propositions beyond mimicking MicroStrategy.
  3. Stablecoin Wars Heat Up: The dominance of USDC on Solana highlights underlying strategic tensions. Expect ecosystems and apps to increasingly incentivize stablecoin usage that aligns directly with their own growth, potentially shifting away from implicitly subsidizing competitors like Base via USDC fees.
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April 11, 2025

Subnets Smashing ATHs, New Subnets We're Watching | TAO Talk

blocmates.

Crypto
Key Takeaways:
  1. Subnets Shine Independently: Subnet token prices are detaching from TAO/macro trends, signaling market recognition of their intrinsic value and utility.
  2. Utility & Tooling Drive Growth: Making it easier for miners/devs to participate (e.g., Ready AI's toolkit) and showcasing real-world applications (e.g., AI agents) are key strategies for subnet traction.
  3. Marketing Requires Substance & Transparency: In the dTAO world, public roadmaps, clear communication, and demonstrating tangible progress are crucial for attracting attention and investment.
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