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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

June 13, 2025

0xResearch | Friday, June 13th

0xResearch

Crypto
Key Takeaways:
  1. **Meme Wisely:** ETH's narrative power is potent, but sustainable value needs a bedrock of technological strength and real-world utility.
  2. **Stablecoins are King:** This is the crypto sector attracting serious institutional capital and big tech attention; the growth runway is immense.
  3. **Regulation is Warming:** Positive signals from the SEC on self-custody and staking offer tailwinds, potentially de-risking significant parts of the crypto ecosystem.
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June 13, 2025

Takeaways from the SEC Roundtable and Privy Acquisition | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Regulatory Thaw: The SEC’s new leadership signals a more accommodating stance on crypto, potentially unlocking significant growth for DeFi in the US.
  2. Market Structure Evolution: Tokenization is increasingly viewed as the key to modernizing capital markets, with on-chain IPOs and improved secondary market liquidity on the horizon.
  3. Infrastructure is King: Acquisitions like Privy by Stripe highlight the race to build and control the foundational layers of the crypto economy, especially around wallets and stablecoins.
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June 13, 2025

Institutions Pour Billions into Crypto! Stripe’s Bold Move & Genius Act Explained

Bankless

Crypto
Key Takeaways:
  1. Institutional FOMO is Real: Bitcoin and Ethereum ETFs are magnets for capital, and Circle's IPO success signals massive pent-up demand.
  2. Regulation is Maturing: The Genius Act is poised to legitimize stablecoins, while the Clarity Act could reshape token classifications.
  3. Adoption Accelerates: Stripe's crypto acquisitions and Poly Market's X integration show crypto moving beyond niche use cases.
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June 13, 2025

Standard Chartered: The Bull Case For Solana | Geoff Kendrick

Lightspeed

Crypto
Key Takeaways:
  1. Solana's Next Act is Crucial: Current memecoin activity, while impressive, is viewed by institutions like Standard Chartered as less sustainable than diversified utility; a pivot to tokenized equities or social is key for long-term valuation.
  2. Perception Battles Performance: Ethereum's established "trustworthiness" gives it an institutional edge, even if Solana offers superior tech for certain applications. Solana must overcome its "memecoin" image to attract serious TradFi.
  3. Near-Term Headwinds for Solana Relative to Ethereum: Kendrick suggests Ethereum might outperform Solana in the near term (though both underperform Bitcoin) as Solana navigates its transition phase, while Ethereum benefits from incumbency in stablecoins and tokenized RWAs.
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June 12, 2025

The Digital Payment Race That Will Reshape the World

Forward Guidance

Crypto
Key Takeaways:
  1. **Currency Cold War:** A "currency conflict" is unfolding, with the winner set to define the financial backbone of the next-gen internet and global commerce.
  2. **Stablecoins vs. The State:** USD stablecoins are pitched as the West's best bet for the internet's future currency, directly competing with state-backed digital currencies like China's e-CNY.
  3. **Agent-Powered Internet:** The dream is an internet where AI agents, fueled by ultra-low-cost stablecoin transactions, manage our digital lives, moving incentives away from human attention.
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June 12, 2025

The Last Mile Problem For Stablecoins | Analyst Round Table

0xResearch

Crypto
Key Takeaways:
  1. **Solve Real Friction:** The "last-mile" challenge—seamlessly converting stablecoins to local cash in emerging markets—remains the critical bottleneck and prime opportunity for stablecoin protocols.
  2. **Moats are Real:** Overcoming established players like Tron requires more than just better tech or lower fees; it demands superior distribution and user migration strategies.
  3. **Align Incentives:** Morpho's structural changes offer a compelling model for aligning team, investor, and token holder interests, potentially setting a new standard for Web3 projects.
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