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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

July 17, 2025

Breaking Down the PUMP Launch | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. On-Chain is the New Main Stage: The Pump launch proved Solana can handle massive retail demand better than established CEXs, a major narrative shift for future token sales.
  2. Brand and Treasury Trump Daily Noise: Pump's $6B+ valuation is driven by its powerful brand and massive war chest. Investors are betting on the long-term picture, not volatile daily metrics.
  3. Value Accrual is Now Table Stakes: The 25% revenue share signals a new era. Protocols can no longer ignore direct value accrual for token holders; it's now a requirement to earn market trust.
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July 17, 2025

Why $1 Of Bitcoin Held By A Public Company Is Worth More Than $1

Empire

Crypto
Key Takeaways:
  1. Active Value Creation Over Passive Holding: The primary investment thesis is not just owning Bitcoin, but owning a company that actively works to increase your proportional stake in Bitcoin through astute capital management.
  2. Shareholders Benefit from Arbitrage: The company can issue stock at a premium to buy more assets or sell assets to buy back stock at a discount, with both actions increasing the crypto-per-share metric for existing holders.
  3. A Structurally Superior Model: This model aligns management and shareholder interests to grow NAV per share, a dynamic missing from both passive ETFs (where third parties capture arbitrage) and older closed-end funds (which suffered from principal-agent issues).
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July 17, 2025

10 Bullish ETH Charts

Bankless

Crypto
Key Takeaways:
  1. The Institutional Bid is Real and Diversified. Institutions are not just buying ETH via ETFs; they are building with it via stablecoins, tokenizing real-world assets on it, and holding it directly in corporate treasuries.
  2. ETH's Supply Dynamics are a Ticking Time Bomb. With issuance lower than Bitcoin, an 8-year low of supply on exchanges, and over 43% of ETH locked in smart contracts, a powerful supply shock is building beneath the surface.
  3. L2s are a Feature, Not a Bug. The temporary hit to L1 revenue is a calculated investment in mass adoption. By fostering a thriving Layer 2 ecosystem, Ethereum is sacrificing short-term fees for long-term network dominance and pricing power.
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July 16, 2025

PUMP Buybacks Initialized

0xResearch

Crypto
Key Takeaways:
  1. PUMP is the New Memecoin Index: The market is treating PUMP as a direct proxy for the health of the entire memecoin ecosystem. Its performance is a leveraged bet on speculative activity, making it a crucial asset to watch.
  2. On-Chain Venues Are Winning: The PUMP launch was a massive fumble for centralized exchanges and a huge win for on-chain infrastructure like Solana and Hyperliquid, which handled record volume smoothly. Price discovery now happens on-chain first.
  3. The Frontend is the Next Battlefield: PUMP’s biggest challenge is not just competitors like Bonk.fun, but the risk of being disintermediated by trading apps. To survive, it must become a destination platform, not just backend infrastructure.
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July 16, 2025

Bitcoin Moons, Can Banks Win Stablecoins & Will ICOs Boom? Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Big Banks Are The Stablecoin Play. Forget fintech disruption; the Genius Act positions traditional banks with massive balance sheets and collateral access as the primary beneficiaries of the stablecoin boom, not Silicon Valley.
  2. Bitcoin Miners Are a Leading Indicator. The performance of publicly traded Bitcoin miners often precedes major moves in Bitcoin's price, making them a "canary in the coal mine" for traders seeking an edge.
  3. Real-World Assets Demand New Blockchains. The future of tokenized assets won't happen on today's chains. The winners will be platforms like Stellar or Avalanche Subnets that offer validator-level controls for transaction reversal, sacrificing permissionlessness for institutional-grade security.
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July 15, 2025

ETH Earnings Report Q2 2025

Bankless

Crypto
Key Takeaways:
  1. **Stimulus Over-Revenue:** The Petra upgrade was an intentional move to prioritize L2 user growth over immediate L1 fee generation. Investors should view L1 metrics through this lens—low fees are currently a feature, not a bug.
  2. **The Great Rotation:** ETH is migrating from exchanges to more permanent homes like ETFs, corporate treasuries, and staking contracts. This institutional embrace is solidifying ETH's store-of-value thesis, even as its "productive asset" yield fluctuates.
  3. **DeFi's Pulse is Strong:** Don't mistake lower L1 fees for a weak economy. With active loans at an all-time high, the demand to use ETH and other assets within its DeFi ecosystem is stronger than ever.
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