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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

February 15, 2026

No Altcoin Season? Tell That to the TradFi Players - Uneasy Money

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: AI's exponential growth creates unprecedented demand for high-throughput, low-cost blockchain infrastructure. TradFi's direct investment in specific altcoins signals crypto's maturation as a utility layer.
  2. The Tactical Edge: Invest in protocols and tokens offering genuine utility for AI agent payments and high-volume transaction processing, or attracting long-term institutional capital.
  3. The Bottom Line: Institutional crypto adoption and accelerating AI will reshape token value and blockchain necessity. Position your portfolio and building efforts towards infrastructure handling AI-scale demand and assets with clear utility.
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February 15, 2026

The Stablecoin Liquidity Trap

The Gwart Show

Crypto
Key Takeaways:
  1. The market is moving towards tokenized financial products that abstract complexity and offer diversified exposure, bypassing traditional financial friction for a broader, international user base.
  2. Builders should focus on creating transparent, single-token yield products with diversified, underwritten strategies that offer enterprise-grade access to global users, rather than relying on unsustainable incentive models or monolithic yield sources.
  3. Over the next 6-12 months, capital will consolidate around projects that prioritize transparency, diversification, and real-world utility, particularly those serving underserved global markets.
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February 15, 2026

The Stablecoin Liquidity Trap

The Gwart Show

Crypto
Key Takeaways:
  1. The global demand for accessible, risk-adjusted USD yield is colliding with crypto's need for sustainable economic models. This pushes the industry towards tokenized, diversified financial products that abstract complexity and offer enterprise-grade solutions to a worldwide audience.
  2. Prioritize protocols building liquid yield tokens with transparent, diversified backing strategies and a single-token model. For builders, focus on abstracting away chain and contract complexity to deliver smooth user experiences that rival TradFi.
  3. The next 6-12 months will see a flight to quality in crypto. Projects offering genuine utility, robust risk management, a clear path to sustainable yield will capture market share, especially those serving global users who lack traditional financial access.
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February 14, 2026

LIVE: Aave, Polymarket, LayerZero | 0xResearch

0xResearch

Crypto
Key Takeaways:
  1. The crypto industry is actively re-evaluating the balance between decentralized governance and centralized execution, recognizing that efficient value capture often requires streamlined decision-making and clear economic alignment between core contributors and token holders.
  2. Investors should scrutinize protocols for clear revenue-sharing models that benefit token holders and identify platforms that effectively monetize "uninformed" retail flow, as these often hide significant, sustainable profit margins for market makers and the platforms themselves.
  3. The next 6-12 months will test which protocols can successfully transition from pure technical innovation to sustainable economic models. Watch for Aave's fintech execution, Polymarket's continued retail monetization, and LayerZero's ability to establish its chain as a primary asset issuance layer.
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February 13, 2026

Stani Kulechov: The Aave Token-Centric Future Is Here (...And What's Coming Next)

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: DeFi's maturation is driving a consolidation of value capture, moving from diffuse governance tokens to integrated, revenue-generating token models that mirror traditional finance.
  2. The Tactical Edge: Evaluate DeFi protocols based on their explicit revenue-sharing mechanisms and product-to-protocol alignment, prioritizing those with clear, token-centric economic models.
  3. The Bottom Line: Aave's strategic shift creates a powerful flywheel where product innovation directly boosts AAVE token value, positioning it as a leading, investable DeFi asset for the next market cycle.
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February 14, 2026

Tomasz Resigns, CFTC Says "Golden Era Of Markets", OP Founder, OpenTrade & Rune, Securitize & Stani

The Rollup

Crypto
Key Takeaways:
  1. "The tokenization of RWAs is expected to be the primary driver of onchain asset growth over the next 10 years."
  2. "The core underlying driver of I need stable coins and I now need yield on those stable coins is unstoppable in my opinion and is all weather doesn't matter the macro conditions."
  3. "What's happening is you just you you're you're messing up one of the components and you hear all of the components end to end need to line up right the stars need to align so to speak and then you start to really unlock an economic engine that is just at a completely different level."
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