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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

January 10, 2026

Zcash drama, stablecoin adoption, reinsurance markets & onchain reputation with Iron, Re, and Fluent

The Rollup

Crypto
Key Takeaways:
  1. The Macro Shift: The Unification. Legacy finance is unbundling into onchain modules where yield is derived from real-world economic activity rather than token emissions.
  2. The Tactical Edge: Audit your yield. Move capital toward protocols like RE that bridge to non-self-referential markets.
  3. The Bottom Line: The next 12 months belong to "Neo-Finance" players who dominate the boring work of regulatory compliance and fiat integration.
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January 9, 2026

Lighter’s Token Launch, Erebor Raises $350M & Walmart's Crypto Strategy

Empire

Crypto
Key Takeaways:
  1. The market is bifurcating into protocols with real product market fit and a long tail of zombie assets.
  2. Monitor the "One Pay" app ecosystem for integration opportunities.
  3. 2026 is the year stablecoins move from treasury management to domestic retail reality.
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January 9, 2026

Aerodrome’s Big Upgrade | Alexander Cutler

0xResearch

Crypto
Key Takeaways:
  1. The Macro Transition: Vertical Liquidity. Exchanges are evolving from passive pools into active revenue collectors that capture MEV and launch fees to subsidize liquidity.
  2. The Tactical Edge: Monitor Aero. Watch the Metadex03 launch in Q2 to see if liquidity migrates from Uniswap to the higher-yield Aero pools on Ethereum Mainnet.
  3. The Bottom Line: Aero is betting that better economics for liquidity providers will always win the war for volume. If they successfully export their Base dominance to Mainnet, the decentralized exchange hierarchy will be permanently altered over the next 12 months.
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January 9, 2026

Nic Carter: Quantum Threatens $600B of Bitcoin

Delphi Digital

Crypto
Key Takeaways:
  1. The transition from classical to quantum computing turns static digital gold into a melting ice cube.
  2. Audit your cold storage to ensure you aren't reusing addresses or holding funds in P2PK formats.
  3. Bitcoin’s survival depends on the community’s ability to prioritize insurance over ideological purity before 2030.
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January 9, 2026

Stablecoin Deep Dive with Frax and Transak

The Rollup

Crypto
Key Takeaways:
  1. The transition from DeFi to Neo-Finance where on-chain liquidity meets institutional payment rails.
  2. Prioritize assets that are integrated with payment processors like Stripe or Bridge.
  3. 2026 is the year of the exponential. The winners won't be the high-float L1s but the protocols that function as the economic engine for both lenders and shoppers.
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January 9, 2026

How China Is Quietly Dominating Crypto | Shuyao Kong

The DCo Podcast

Crypto
Key Takeaways:
  1. The next cycle favors teams that combine Western storytelling with Eastern operational intensity.
  2. Monitor the tools and platforms used by high-volume Chinese retail clusters to identify emerging liquidity trends on Solana.
  3. Ignoring the Chinese ecosystem is a choice to remain blind to the market's most active participants.
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