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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

October 24, 2025

Was Coinbase's Echo Acquisition a Good Deal? | Weekly Roundup

Empire

Crypto
Key Takeaways:
  1. Capital Formation is the New Battleground: Coinbase’s Echo deal is a $400M bet to own the token launch pipeline, directly challenging Binance's Launchpad dominance.
  2. Banks are Officially on Defense: The Fed’s "skinny master account" proposal threatens to let fintechs bypass banks entirely, a disruption so real that bank CEOs are publicly admitting innovators will win.
  3. Prediction Markets are Going Mainstream: DraftKings' partnership with Polymarket validates the model as a legitimate workaround for complex state-level gambling laws, signaling a massive new distribution channel.
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October 24, 2025

Live Weekly Roundup With Kevin Ricoy

Lightspeed

Crypto
Key Takeaways:
  1. Sell the News, Buy the Self-Own. Eclipse’s price action demonstrates that in crypto, counter-narrative marketing can be more effective than traditional hype. When a project publicly acknowledges its own failures, it can signal a market bottom.
  2. Culture is Strategy. The contrast between Ethereum’s perceived complacency and Solana’s hungry underdog ethos directly impacts developer incentives and innovation speed. Ecosystems with a clear, aggressive mission attract and retain talent differently.
  3. Watch the SKR Token. As only the second token from Solana Labs, the SKR launch carries significant reputational weight. Investors should monitor its mechanics, as it will likely set a new standard for ecosystem projects launched by a parent company.
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October 22, 2025

Is the Cycle Over, Portfolio Psychology, & Prediction Market Alpha

1000x Podcast

Crypto
Key Takeaways:
  1. Fade the Cycle Narrative: The influx of new, cycle-agnostic capital via ETFs means the market's rhythm has changed. Sideways price action is the new up, signaling strong demand is absorbing OG selling.
  2. Buy Picks, Shovels, and Yield: The era of riding hyped, valueless memecoins is over. The durable strategy is to own the infrastructure (Robin Hood) or assets that generate and return real fees to holders (Shuffle, Aerodrome).
  3. Arbitrage Information Gaps: Find your edge in niche markets. Exploitable alpha exists in prediction markets, whether through contrarian betting, language advantages, or AI-powered analysis.
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October 22, 2025

State Of Crypto 2025 | a16z Crypto — Eddy Lazzarin & Daren Matsuoka

Bankless

Crypto
Key Takeaways:
  1. Stablecoins Are The Trojan Horse. They have achieved undeniable product-market fit, rivaling legacy payment rails and becoming a key tool for U.S. dollar dominance. They are the gateway for both institutional players and everyday users in emerging markets.
  2. Usage is Divorced From Speculation. For the first time, practical on-chain activity is being driven by users in developing nations who *need* crypto, while speculation is led by those in developed nations who *want* it. The next bull run will be driven by products that bridge this divide.
  3. The Bottleneck is No Longer Technology. With scalability largely solved (blockchains now process over 3,400 TPS), the primary barriers to adoption have shifted from infrastructure to product design, user experience, and regulatory clarity.
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October 22, 2025

MegaETH Co-Founder: How We Rebuilt Ethereum From the Ground Up

The DCo Podcast

Crypto
Key Takeaways:
  1. Question Sacred Cows: The path to breakthrough performance lies in challenging foundational assumptions. For Layer 2s, this means recognizing that sequencer decentralization may be a solution in search of a problem.
  2. Focus and Outsource: MegaETH’s strategy is simple: be the best at performance by outsourcing the hardest part—consensus—to Ethereum. This allows them to build a hyper-optimized execution environment without compromising on security.
  3. Hire Outside the Echo Chamber: The next major blockchain innovation may not come from a crypto veteran. Expertise from adjacent fields like low-latency computing can provide the first-principles thinking needed to solve the industry’s most entrenched problems.
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October 22, 2025

Institutional Demand for Crypto is Accelerating | Matt Hougan

Forward Guidance

Crypto
Key Takeaways:
  1. **Allocations Are Multiplying:** The standard institutional crypto allocation is moving from a timid 1% to a more confident 3-5%, driven by crypto's declining volatility and the fading fear of a "go-to-zero" event.
  2. **The ETF Universe is Exploding:** New SEC guidelines will unleash a wave of crypto ETFs, from single assets to index funds. This will reshape market structure and provide traditional investors with simple on-ramps to the entire ecosystem.
  3. **Stablecoins are the Real Trojan Horse:** Beyond Bitcoin, institutional demand for stablecoins is immense. They aren't just an asset; they are recognized as the critical settlement layer for a tokenized, 24/7 global market.
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