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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

January 5, 2026

Inside SharpLink's Massive Ethereum Bet With CEO Joseph Chalom

The Rollup

Crypto
Key Takeaways:
  1. The migration from "Crypto" to "Digital Finance" where the underlying tech becomes invisible.
  2. Audit your protocol's risk disclosures. Prioritize security and third-party code reviews to attract institutional capital.
  3. Ethereum is the leading candidate for the world's financial operating system because it has ten years of zero downtime and a massive validator base.
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January 5, 2026

How the Stablecoin Milkshake will Redollarize the World

Bankless

Crypto
Key Takeaways:
  1. The US is moving from "analog" dollar dominance to a high-velocity digital network that absorbs global liquidity faster than ever.
  2. Maintain exposure to US equities and gold while keeping dollar-denominated cash in short-term bonds to capitalize on the next volatility spike.
  3. The dollar isn't dying; it is being upgraded. Expect the "Milkshake" to suck up global capital as foreign economies struggle with debt and declining growth.
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January 3, 2026

Predictions for 2026

Bell Curve

Crypto
Key Takeaways:
  1. The movement from casino to utility means capital will flow toward protocols with high revenue quality and durability.
  2. Prioritize DeFi products that bridge institutional assets to retail front-ends.
  3. 2026 is the year crypto stops being a promise and starts being a product.
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January 2, 2026

Crypto Only Has 2 Real Business Models | Ejaaz Ahamadeen

The DCo Podcast

Crypto
Key Takeaways:
  1. Value is migrating from raw infrastructure to the model layer. As compute becomes a commodity, the economic winner is the entity that owns the weights and the inference interface.
  2. Audit your portfolio for projects with Visa-style fee structures. Prioritize protocols that generate revenue from external usage rather than internal token circularity.
  3. Sustainable crypto AI requires moving past speculative emissions toward actual service fees. The next year will separate apps that use AI to solve problems from protocols that use AI to sell tokens.
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January 2, 2026

Bittensor Brief #16: Bitsec Subnet 60

Hash Rate Podcast

Crypto
Key Takeaways:
  1. Security is moving from a periodic human service to a continuous machine-verified state.
  2. Stress-test your current security stack by running it against historical exploit benchmarks.
  3. If you are not using AI to defend your code, you are already losing to the AI trying to break it.
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January 2, 2026

Silver Is Going Parabolic, Bitcoin's Quantum Threat, & ETH’s 2026 Setup

Bankless

Crypto
Key Takeaways:
  1. The Macro Move: Capital is rotating from speculative "early" bets into "fundamental" infrastructure as crypto integrates with global finance.
  2. The Tactical Edge: Audit your portfolio for "equity-heavy" protocols and favor "unified" models like Uniswap that prioritize token-holder value.
  3. The Bottom Line: The next year belongs to the builders who can navigate the transition from "underground" experiment to "boring" global backbone.
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