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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 15, 2025

Why USDT is the Best Stablecoin | Paul & Zaheer

0xResearch

Crypto
Key Takeaways:
  1. Stability Trumps Yield: Users prioritize USDT's liquidity and reliability over potential yield from competitors.
  2. Tether as Offshore Dollars: USDT functions as a modern Eurodollar system, a role competitors and even some regulators fail to fully grasp.
  3. Consolidation is Coming: The market won't support dozens of dollar clones; expect convergence, likely favoring the most established player (USDT).
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April 15, 2025

Coinbase vs Robinhood: Who Will Win?

Empire

Crypto
Key Takeaways:
  1. Competition Kills Margins: Coinbase's high-fee model is under siege from Robinhood, TradFi giants, and the commoditization of services like staking.
  2. The ETF Hangover: Spot ETFs reduce the need for investors to use COIN as a crypto proxy, deflating its scarcity premium and potentially its multiple.
  3. Robinhood Rising: Robinhood is gaining ground, viewed by some analysts as a better-diversified and more attractive investment compared to Coinbase right now.
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April 15, 2025

Launching Crypto's Largest Tokenized Fund On Solana | Michael Sonnenshein

Lightspeed

Crypto
Key Takeaways:
  1. **BUIDL Hits $2B on Solana:** BlackRock's tokenized treasury fund expanding to Solana signifies major institutional validation and platform suitability for RWAs.
  2. **RWAs Meet DeFi:** The killer app for tokenization is bridging RWAs (like BUIDL) into DeFi ecosystems to serve as yield-bearing collateral, unlocking new capital efficiency.
  3. **Liquid Assets First:** Focus remains on tokenizing liquid, frequently priced assets (treasuries, credit funds) before tackling complex, illiquid ones like real estate.
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April 14, 2025

Bits + Bips LIVE

Unchained

Crypto
Key Takeaways:
  1. Headline Risk Reigns: Forget fundamentals for now. Market direction hinges almost entirely on White House pronouncements and tariff developments; consistency is desperately needed to restore confidence.
  2. Liquidity is King (and Scarce): Thin markets amplify moves. Watch ETF volumes (over 35% signals stress) and hedge fund positioning (currently defensive, fuel for squeezes) for tactical clues.
  3. Crypto's Macro Moment Deferred?: While geopolitics boosts crypto's *raison d'être* as a non-state asset, it needs a clearer macro picture or strong regulatory/product catalysts to break free from its current risk-asset correlation. Watch the Yuan/USD rate for capital flight signals.
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April 14, 2025

Bringing the World’s Vehicles Onchain with DIMO | Rob Solomon

Proof of Coverage Media

Crypto
Key Takeaways:
  1. Real Utility Drives Adoption: DIMO focuses on tangible benefits (cashback for data, vehicle tracking) beyond token speculation, making the platform sticky for everyday users.
  2. Tokenomics Power the Ecosystem: The $DIMO token is integral, used by developers for data access, with a burn mechanism creating deflationary pressure tied directly to network usage and revenue growth.
  3. Decentralization is the Moat: Building onchain provides a crucial advantage over closed ecosystems, ensuring user control, preventing platform risk, and attracting developers wary of centralized gatekeepers.
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April 14, 2025

The Biggest Market Crash Since 2020, What Next?

Forward Guidance

Crypto
Key Takeaways:
  1. Volatility is the New Normal: Brace for sustained higher volatility; cash and defensive positioning (energy, industrials) are prudent.
  2. Bitcoin's Moment? BTC is increasingly viewed as a macro hedge against instability and potential Fed easing, likely outperforming most alts.
  3. Policy Matters: Deficit reduction, trade wars, and Fed reactions are driving markets; understanding the administration's long-term goals (per Bessent) is crucial.
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