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35:19EN
AI Engineer· Oct 25, 2026SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.
34:11EN
GOTO Conferences· Oct 23, 2026Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.
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Cognitive Revolution "How AI Changes Everything"· Oct 14, 2026PodcastAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to BargainHost Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.
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Sequoia Capital· Oct 6, 2026PodcastAt 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.
2:19:30ENCognitive Revolution "How AI Changes Everything"· Sep 5, 2026PodcastThe investigators were allowed six days. The word protein appeared once.Host Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.
1:08:22ENMark Doss on Production Engineering for High-Stakes TradingMark Doss · Jane StreetWhy every order matters, how event-based monitoring detects unexpected failures, and what a realistic incident reveals about trading operations.
1:48:21ENWill Wilson on Deterministic Simulation and the Hard Problems of Software TestingYaron Minsky, Will Wilson · Jane StreetThe Antithesis co-founder explains how replayable simulations explore complex software, why properties matter and where testing meets its limits.
40:56ENSequoia Capital· Mar 10, 2026PodcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.
1:22:49ENBryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.
58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetRon Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
40:33ENSequoia Capital· Jun 24, 2025PodcastFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.
59:30ENSequoia Capital· Oct 8, 2024PodcastGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.
53:51ENLiora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.
49:50ENSequoia Capital· Jun 18, 2024PodcastUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
55:34ENAndrew Hunter on Performance Engineering for Low-Latency SystemsRon Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· Aug 31, 2023Podcast · 2 speakersChatGPT Runs on His Framework. He Still Doesn't Want You Training a ModelHost Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.
43:45ENNo Priors: AI, Machine Learning, Tech, & Startups· Aug 3, 2023Podcast · 2 speakersEight Years of No Growth, Then OpenAI and NVIDIA Became His CustomersHost Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.
44:19ENNo Priors: AI, Machine Learning, Tech, & Startups· Jun 15, 2023Podcast · 2 speakersAI Will Write Ten Times More Code. Someone Still Has to Keep It Running.Host Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.
1:21:06ENCognitive Revolution "How AI Changes Everything"· Apr 27, 2023PodcastEveryone Talks About RLHF. Almost Nobody Is Doing It.Host Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:00:28ENElla Ehrlich on Modernizing a Critical Trading SystemRon Minsky, Ella Ehrlich · Jane StreetJane Street’s Gord team rebuilt parts of a legacy data pipeline while preserving availability, and Ehrlich describes the recruiting programs she helped develop.
1:12:09ENDoug Patti on State Machine Replication at Jane StreetRon Minsky, Doug Patti · Jane StreetHow Concord and Aria use ordered logs and deterministic state machines to build recoverable trading services.
44:34ENChris Perl on Keeping Network Clocks in SyncRon Minsky, Chris Perl · Jane StreetHow NTP, PTP and hardware timestamps work together to keep Jane Street’s clocks within a measurable error bound.
1:06:49ENBryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.