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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

December 31, 2025

2026 Predictions: BTC & ETH Hit Record Highs, TradFi Uses Solana: Bits + Bips

Unchained

Crypto
Key Takeaways:
  1. Capital is migrating from offshore exchanges to regulated US derivatives markets as the CME faces competition from Coinbase.
  2. Prioritize stablecoins with transparent reserve locations to avoid contagion where a bank failure triggers a crypto de-peg.
  3. Success depends on building utility-first infrastructure rather than chasing the ghost of 2021-style token launches.
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December 30, 2025

How Canton Network Was Built for Institutional Use in Crypto

The DCo Podcast

Crypto
Key Takeaways:
  1. The transition from speculation to utility. Capital is moving from crypto native games to real world efficiency gains.
  2. Prioritize infrastructure. Build or invest in protocols that prioritize liquidity and institutional compliance over short term retail hype.
  3. The next year will see the crypto casino fade as institutional rails like Canton Network enable the migration of trillions in traditional assets.
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December 30, 2025

What's The Trade For 2026?

1000x Podcast

Crypto
Key Takeaways:
  1. Geopolitical fracturing is replacing the single-hedge-fund-world. Capital is migrating from speculative "paper" assets to hard-capped commodities and privacy-preserving tech.
  2. Short the "zombie" alts. Create a basket of low-utility, high-FDV tokens from the previous cycle and pair them against long positions in Bitcoin and Monero.
  3. The market is punishing momentum-chasing and rewarding structural alignment. If you aren't positioned for a multipolar, high-inflation environment, you are exit liquidity for the sovereigns.
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December 30, 2025

What's Next For Crypto In 2026 | Kairos Research

Lightspeed

Crypto
Key Takeaways:
  1. The migration from subsidized security to fee-based sustainability. Capital is fleeing "fake money" inflation for real yield.
  2. Monitor Solana's BAM plugins for maker prioritization. This allows perps to offer tighter spreads than centralized exchanges.
  3. 2026 is the year of the "Real" app. The winners will be those who stop hoarding interest and start sharing it with their users.
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December 30, 2025

Landmark Regulation, ICOs, Downtober & Privacy: 2025 Crypto Year in Review (Part 2)

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: Regulatory moats are being built around stablecoins to protect bank deposits. This forces a migration toward "consortium" models like Stripe’s Tempo.
  2. The Tactical Edge: Audit market maker agreements to ensure protection against exchange API failures. Reliability is now a competitive advantage.
  3. 2026 looks like a liquidity-driven recovery. The "easy road" is over, but the infrastructure for the next cycle is finally being built by adults.
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December 29, 2025

HIP-3 and Markets by Kinetiq with Omnia | Livestream

0xResearch

Crypto
Key Takeaways:
  1. The Macro Trend: Vertical Integration. Protocols are moving from single-utility tools to full-stack financial ecosystems that own both the liquidity and the application layer.
  2. The Tactical Edge: Monitor HIP-3 auctions. Watch how new exchanges utilize Kinetic's infrastructure to bootstrap liquidity without issuing predatory new tokens.
  3. The Bottom Line: Kinetic is building the infrastructure for a post-Binance world where users own the venues they trade on. This matters for your roadmap because user-owned liquidity is the next major phase of DeFi growth.
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