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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 11, 2025

The Trump Put Is In The Bond Market | Weekly Roundup

Forward Guidance

Crypto
Key Takeaways:
  1. **The Trump Put is Real:** 5% on the 30-year yield marks the pain threshold triggering policy intervention to prevent systemic collapse.
  2. **Fed Pivot Incoming:** Despite hawkish talk, falling inflation and market stress make Fed cuts and liquidity measures (like ending QT) highly probable by May.
  3. **Bitcoin Favored:** Anticipated global liquidity injections are expected to benefit Bitcoin more than traditional equities as the world adjusts to the new geopolitical and economic landscape.
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April 10, 2025

Market Crash. But at Least We Get a $200K Bitcoin? - The Chopping Block

Unchained

Crypto
Key Takeaways:
  1. Bitcoin's Identity Crisis: Bitcoin trades like a risk asset now, needing stimulus for upside, but the ultimate bull case hinges on it becoming a "chaos hedge" if traditional systems falter.
  2. Altcoins Need New Narrative: Alts bleed against Bitcoin as institutions find cleaner leverage elsewhere (BTC options, MSTR); their value proposition beyond speculation needs strengthening.
  3. Crypto Plumbing Gets Real: Major M&A (Ripple/Hidden Road) and stablecoin growth (despite Circle's IPO delay) show the industry is building robust, institutional-grade infrastructure, even amidst market chaos.
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April 10, 2025

Ethereum Co-Founder: How Do We Fix Crypto? | Gavin Wood

Empire

Crypto
Key Takeaways:
  1. Hype Kills Efficiency: Crypto's obsession with hype leads to dramatic misallocation of capital and talent, hindering real innovation.
  2. Utility is Lacking: Many popular platforms primarily facilitate speculation and insider enrichment, falling short of the original Web3 vision.
  3. Refocus on Fundamentals: The industry needs a renewed emphasis on core engineering and building a "viable social operating system," not just marketing narratives.
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April 10, 2025

Can Blockchain Fix AI's "IP Problem"? With Story Protocol co-founder Jason Zhao

The People's AI

Crypto
Key Takeaways:
  1. Fix IP's Plumbing: Today's IP system is archaic; Story Protocol leverages blockchain for a transparent, programmable, global alternative.
  2. Monetize AI Training: Instead of fighting AI, creators can use Story to set terms and get paid for allowing their IP to be used in AI training or outputs.
  3. Tokenize Everything: IP is a $61T+ asset class (songs, data, brands); protocols like Story unlock its value through tokenization (IPRWAs) and new licensing models.
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April 9, 2025

Are We In A Bear Market? | Carlos Gonzalez Campo

Lightspeed

Crypto
Key Takeaways:
  1. Fundamental Disconnect: Solana's network activity (DEX volume, stablecoins) is stronger now than when SOL last traded below $100, despite the recent price plunge.
  2. Diverging Narratives: Bitcoin is trading like non-sovereign money, reacting to macro news, while Solana's price is more closely tied to its Layer 1 competition with Ethereum.
  3. Leverage Alert: Near-record high Solana open interest (in SOL terms) indicates significant leverage, suggesting amplified volatility potential ahead.
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April 9, 2025

Trump Is “Kitchen Sinking” The US Economy | Darius Dale

Forward Guidance

Crypto
Key Takeaways:
  1. Expect Pain Before Gain: The transition requires near-term economic disruption and market volatility ("go down to go up") before potential long-term benefits materialize. Markets haven't fully priced this in.
  2. Fed Will Be Forced to Act: Ignore Fed rhetoric; expect QE driven by financial stability needs and the debt cycle, regardless of stated intentions about rate levels. Structural inflation near 3% makes the 2% target a source of policy error.
  3. Ditch Long Bonds, Embrace Systems: Structural inflation and fiscal risks make long-term bonds unattractive. Navigate the volatile "Fourth Turning" environment with systematic, rules-based strategies dynamically allocating across assets like stocks, gold, and Bitcoin, prioritizing risk management over prediction.
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