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AI Podcasts

December 31, 2025

[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire

Latent Space

AI
Key Takeaways:
  1. The transition from Black Box to Glass Box AI. Trust is the next moat, and interpretability is the tool to build it.
  2. Use feature probing for high-stakes monitoring. It is more effective and cheaper than using LLMs as judges for tasks like PII scrubbing.
  3. Understanding model internals is no longer just a safety research project. It is a production requirement for any builder deploying AI in regulated or high-stakes environments over the next 12 months.
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December 31, 2025

[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang

Latent Space

AI
Key Takeaways:
  1. The transition from completion to agency means benchmarks are moving from static snapshots to active environments.
  2. Integrate unsolvable test cases into internal evaluations to measure model honesty.
  3. Success in AI coding depends on navigating the messy, interactive reality of production codebases rather than chasing high scores on memorized puzzles.
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December 31, 2025

[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute

Latent Space

AI
Key Takeaways:
  1. The center of gravity in AI is moving from closed-door pre-training to open-source compound systems that prioritize context management.
  2. Identify research teams with long histories of collaboration and fund them before they incorporate to capture the highest upside.
  3. Open research is the only way to maintain a democratic and competitive AI ecosystem against both closed labs and international rivals.
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December 29, 2025

Beyond the Code: The Books That Shaped the Minds of AI Leaders

Turing Post

AI
Key Takeaways:
  1. The transition from technology push to market pull requires builders to stop focusing on the stack and start obsessing over user psychology.
  2. Apply the Mom Test by asking users about their current workflows instead of pitching your solution. This prevents building expensive features that nobody uses.
  3. The next decade of AI will be won by those who understand the human condition as deeply as they understand the transformer architecture.
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December 29, 2025

Memory in LLMs: Weights and Activations - Jack Morris, Cornell

AI Engineer

AI
Key Takeaways:
  1. The Macro Trend: Moving from "In-Context Learning" to "Weight-Based Memory" to bypass the quadratic costs of attention.
  2. The Tactical Edge: Use synthetic data generation to augment your fine tuning sets and prevent the model from forgetting its base knowledge.
  3. RAG is a stopgap. The long term winners will be those who build "neural file systems" where the model inherently knows the data.
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December 29, 2025

Where does consumer AI stand at the end of 2025?

a16z

AI
Key Takeaways:
  1. The "Everything App" is a myth. We are moving from general chat boxes to agentic workspaces that operate across your entire software stack.
  2. Build opinionated. Use the current model quality to solve one specific, high-value workflow rather than competing for the general assistant crown.
  3. 2026 is the year of the builder. The infrastructure is ready, the compute tension is real for Labs, and the market is hungry for products with a soul.
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December 26, 2025

How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer

AI
Key Takeaways:
  1. The Macro Movement: The transition from AI as a feature to AI as a headless operator using terminal-based agents.
  2. The Tactical Edge: Replace complex classification DAGs with simple tool-calling loops to reduce technical debt.
  3. The Bottom Line: The future of software development is not better IDEs but better headless agents that treat the entire OS as a tool.
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December 26, 2025

Shipping AI That Works: An Evaluation Framework for PMs – Aman Khan, Arize

AI Engineer

AI
Key Takeaways:
  1. The transition from deterministic software to probabilistic agents requires a move from "vibe coding" to data-driven development.
  2. Build a "golden" data set of 50 hard examples. Use these to test every prompt change before pushing to production.
  3. Reliability is the only moat left in a world of commoditized models. Evals are the bridge to that reliability.
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December 27, 2025

AGI: The Path Forward – Jason Warner & Eiso Kant, Poolside

AI Engineer

AI
Key Takeaways:
  1. Software development is moving from a manual craft to an automated output of vertically integrated intelligence stacks.
  2. Monitor the public API release early next year to replace generic LLMs with specialized coding intelligence.
  3. The winners of the next decade will build on platforms that treat compute as a raw commodity and intelligence as the final product.
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Crypto Podcasts

February 2, 2026

Gavin Zaentz & Pranav Ramesh: Leadpoet, Lead Generation, Intent-Driven Sales Automation | Ep. 79

Ventura Labs

Crypto
Key Takeaways:
  1. The shift from centralized, static data aggregation to decentralized, real-time, incentivized intelligence networks is fundamentally changing how data-intensive industries operate.
  2. Investigate subnet opportunities where incumbent data quality is low and validation is a core challenge.
  3. The future of sales is not just about more leads, but smarter, fresher, and more relevant ones.
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February 3, 2026

Gold Crashes, Bitcoin Slides, and the Fed Shock Markets

Unchained

Crypto
Key Takeaways:
  1. The Macro Shift: As trust erodes in traditional financial systems and geopolitical risks rise, capital is flowing towards more efficient, permissionless DeFi markets. This is forcing traditional finance to adapt or lose market share.
  2. The Tactical Edge: Evaluate DATs trading below NAV for potential M&A or activist plays, as these discounts often reflect management misalignment rather than fundamental asset weakness.
  3. The Bottom Line: The current market volatility, Fed policy shifts, and the rise of DeFi are not just noise; they are reshaping capital allocation. Investors and builders must understand these structural changes to position for the next cycle of institutional adoption.
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February 2, 2026

Metals Crash & Bitcoin Breaks $80k

1000x Podcast

Crypto
Key Takeaways:
  1. Global economic uncertainty and tariff threats are triggering a broad risk-off sentiment, creating dislocations where fundamentally strong assets are sold indiscriminately.
  2. Reallocate capital from speculative metals positions into Bitcoin at current levels and high-conviction, revenue-producing crypto platforms like Hyperliquid.
  3. The current market turbulence is separating the signal from the noise. Focus on assets with strong fundamentals and organic usage, as they are poised for significant gains once the broader market stabilizes.
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February 3, 2026

Is BTC A Buy, Metals Crash, Hyperliquid RWAs, New Fed Chair

1000x Podcast

Crypto
Key Takeaways:
  1. Global market indigestion is creating a flight to quality and a re-evaluation of speculative assets. This environment favors fundamentally strong assets and platforms with clear utility over pure FOMO plays.
  2. Consider tax-loss harvesting Bitcoin positions that are out of the money and reallocate to high-conviction, revenue-producing crypto assets like Hyperliquid.
  3. The "crypto portfolio" concept is evolving; focus on individual assets with strong organic usage and mega-trend tailwinds. This strategic shift will differentiate winners from losers in the coming market cycles.
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February 2, 2026

Why BitGo Went Public | Mike Belshe

Empire

Crypto
Key Takeaways:
  1. Regulatory clarity and institutional demand are converging, driving a fundamental re-architecture of financial market infrastructure. This shift will see traditional finance increasingly rely on regulated crypto-native service providers.
  2. Builders and investors should prioritize infrastructure providers that offer robust regulatory compliance and fiduciary protection, as these are the non-negotiable requirements for the next wave of institutional capital.
  3. The digital asset industry is poised for massive growth, driven by Wall Street's entry. Companies like BitGo, by building transparent, regulated infrastructure, are not just participating in this growth; they are actively shaping the future of finance, making now the time to understand these foundational shifts.
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February 2, 2026

Curated Credit: How Maple and Morpho Approach DeFi Lending | Sid Powell & Merlin Egalite

0xResearch

Crypto
Key Takeaways:
  1. Institutional capital is eyeing DeFi, pushing for tokenized real-world assets like private credit and bonds to diversify yield sources beyond crypto-backed loans. This requires robust risk isolation at the smart contract level and a new generation of independent risk assessors to bridge TradFi and DeFi.
  2. Prioritize protocols that offer explicit risk profiles and transparent fee structures, especially those building towards intent-based lending. For builders, focus on creating infrastructure that supports isolated risk and attracts independent rating agencies.
  3. The future of DeFi lending hinges on transparency and sophisticated risk management. As institutions enter, the demand for clear, independently verified risk assessments will intensify, making protocols that embrace these principles the winners in the next market cycle.
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