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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 8, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Buy the Dip (Carefully): In times of extreme fear (VIX 50+, Equities -20%), layer into positions incrementally; don't try to perfectly time the bottom or get trapped holding losers.
  2. Bitcoin's Moment?: Deglobalization, capital controls, and foreign stimulus could provide short-to-medium term tailwinds for Bitcoin, potentially decoupling it from traditional risk assets.
  3. Inflation Is Likely Toast: Barring a hot war, the economic slowdown from tariffs likely outweighs direct price impacts, paving the way for eventual Fed easing, even if Powell plays coy for now.
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April 8, 2025

The State Of Solana With Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Apps Outearn the Chain: Solana apps are generating nearly twice the revenue ($1.84) per dollar compared to the network itself, proving strong economic viability on the platform.
  2. Fundamentals Over Price: Despite SOL's price drop, core network health indicators like stablecoin supply and DEX activity remain robust, suggesting the sell-off may be detached from on-chain reality.
  3. L1 Scaling is Priority: Solana is doubling down on enhancing the L1 directly via upgrades (like TPU feedback) and app-level innovation (off-chain elements), rejecting Ethereum's L2 path to keep liquidity unified.
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April 8, 2025

Grifters, Meme Coins & the Solana Comeback

The Rollup

Crypto
Key Takeaways:
  1. Grifters Follow the Heat: Speculative actors migrate to blockchains with the highest activity and potential returns, currently favouring Solana's meme coin ecosystem.
  2. Meme Coins Drive Cycles: Love them or hate them, meme coins are a powerful catalyst for user activity, price appreciation, and ecosystem attention, replicating patterns seen in Ethereum's growth.
  3. Underdog Narratives Fuel Growth: Facing adversity can forge strong, defiant communities (like Solana post-FTX) that focus inward and drive significant comebacks, echoing Ethereum's own path to dominance.
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April 7, 2025

How to Raise Crypto VC, Investing in DePIN, Network States, and the Electro Dollar with Anirudh Pai

Proof of Coverage Media

Crypto
Key Takeaways:
  1. Real Demand Trumps Hype: Prove long-term user need and cultivate raving fans; that’s the best pitch.
  2. DePIN Needs Web2 Polish: Solve user friction, especially payments, before reinventing complex crypto-native wheels.
  3. Bet on Abundance & Serendipity: The future hinges on cheap energy and compute ("Electro Dollar"), found through irrational exploration, not just rigid pattern-matching.
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April 7, 2025

Trump vs Markets: Who Blinks First? | Avi Felman & Jonah Van Bourg

Forward Guidance

Crypto
Key Takeaways:
  1. Buy the Fear (Strategically): Extreme volatility, record volume, and forced selling signal potential bottoms; scaling into weakness is preferred over trying to perfectly time the low.
  2. Crypto Gains Relative Strength: Bitcoin benefits from deglobalization trends and anticipated global stimulus (ex-US), potentially outperforming traditional assets in this environment.
  3. Inflation Fears Overblown, Fed Pivot Likely: The market crash itself is deflationary; expect the Fed to tolerate the pain to kill inflation, then pivot towards easing (likely starting May), further supporting risk assets eventually.
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April 7, 2025

Why Is Trump Nuking Markets? | Felix Jauvin

1000x Podcast

Crypto
Key Takeaways:
  1. Trump's Gambit: The tariff chaos might be a high-stakes strategy to isolate China, forcing allies to choose sides and share the burden of the US security umbrella.
  2. Buy the Blood (Carefully): With equities down ~20% and VIX elevated, it's time to cautiously scale into risk assets, accepting potential short-term pain to catch an eventual rebound.
  3. Bitcoin's Edge: De-globalization and reactive global stimulus position Bitcoin favorably, potentially decoupling (or at least outperforming) traditional assets in the near term.
See full notes