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53 件
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スライド 6 枚15:33EN
Jane Street· 2026年10月26日Figgie Strategy: Reading Hands, Winning Majorities and Pricing CardsBradley, Mike · Jane StreetJane Street traders Bradley and Mike analyze three games to show how private information, market competition and timing affect card prices.Decision MakingMathematicsFintech
スライド 7 枚1:05:44EN
Y Combinator· 2026年10月26日Marvin Schwaibold on AI-Powered Design, Interactive Prototypes and Better WebsitesAaron Epstein, Marvin Schwaibold · Y CombinatorShopify’s product design studio lead shows how he uses AI to build and refine interactions, then reviews six websites with Aaron Epstein.Product DesignAI interface designプロダクトと UX+1
スライド 12 枚17:56EN
AI Engineer· 2026年10月25日How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.エンタープライズ AIPrivacy & data governanceSearch & retrieval+2
スライド 10 枚18:31EN
AI Engineer· 2026年10月25日Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.金融 AIBenchmarks評価(Evals)+2
スライド 7 枚19:37EN
AI Engineer· 2026年10月25日Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.エージェント工学Computer useWorkflow automation+2
スライド 5 枚34:11EN
GOTO Conferences· 2026年10月23日Anatoliy 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.開発ワークフローとテストCode review & verificationオブザーバビリティと信頼性+2
1:48:29EN
Jane Street· 2026年10月16日How AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.コーディングエージェントDeveloper productivity評価(Evals)+2
12:49EN
OpenAI· 2026年10月7日Alex Mashrabov: Higgsfield agents that choose models and launch their own GPUsAlex Mashrabov · HiggsfieldAt OpenAI DevDay 2026, Higgsfield's CEO walks through why a continuous media experience needs an agent that picks models, scores its own output, and provisions GPUs — including a live 10-hour AI stream small teams can now ship.エージェントインフラとデプロイGenerative media+2
13:12EN
OpenAI· 2026年10月7日Alexandra Lato on Building Stack Overflow for Agents and Stack Internal with CodexAarti Bagul, Alexandra Lato · OpenAIStack Overflow’s VP of Product explains how a small team used Codex with opposite constraints on two products—and why agent-native design means letting agents contribute knowledge, not just read it.コーディングエージェントエンタープライズ AIエージェント+2
1:36:37EN
Jane Street· 2026年9月23日Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
スライド 9 枚1:05:45EN
Jane Street· 2026年9月11日Cyrus Omar on Live Programming and a Computational Commons for Humans and AICyrus OmarA demonstration of Hazel shows how immediate feedback, structured collaboration and carefully scoped permissions could support people and AI agents working together.Programming LanguagesHuman-AI Collaboration開発ワークフローとテスト+2
1:25:00EN
Jane Street· 2026年9月2日Eric Mannes on Turning Messy External Data Into Trading ResearchYaron Minsky, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.Data quality & curation開発ワークフローとテストInvesting+2
スライド 7 枚1:16:29EN
Jane Street· 2026年8月26日Grant Sanderson and Alok Puranik: Positional Encodings Through Group TheoryGrant Sanderson, Alok Puranik · 3Blue1BrownStarting with assumptions about attention, they derive matrix exponentials and connect rotations, decay and Jordan blocks to RoPE and ALiBi.Transformers & attentionMathematics機械学習の基礎+1
4:41EN
Jane Street· 2026年7月6日Inside Jane Street’s Internship: Projects, Mentorship and LearningCody · Jane StreetInterns and employees describe collaborative interviews, learning finance from the basics, and working on projects used by the firm.CareersCompany CultureMachine Learning+1
1:34:29EN
Jane Street· 2026年6月24日Jacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.インフラとデプロイSoftware engineeringDecision Making+1
1:34:36EN
Jane Street· 2026年6月1日Nate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.インフラとデプロイProgramming LanguagesSoftware engineering+2
スライド 5 枚1:08:22EN
Jane Street· 2026年4月10日Mark 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.オブザーバビリティと信頼性インフラとデプロイSoftware engineering+2
スライド 7 枚46:35EN
Jane Street· 2026年3月25日Jon Gjengset on the Cost of Concurrency CoordinationJon GjengsetWhy shared cache lines can make even read-heavy locks slow, and how a different data structure trades writer work for scalable reads.Software engineeringProgramming Languages
1:48:21EN
Jane Street· 2026年3月17日Will 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.開発ワークフローとテストSoftware engineeringCode review & verification+2
スライド 5 枚1:22:49EN
Jane Street· 2026年1月31日Bryan 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.Software engineeringインフラとデプロイオブザーバビリティと信頼性+2
1:12:58EN
Jane Street· 2025年9月4日Chris Lattner on Mojo and the Search for Portable GPU PerformanceYaron Minsky, Chris Lattner · Jane StreetRon Minsky and Chris Lattner discuss the language and compiler design behind Modular’s effort to make accelerator programming both portable and fast.Programming LanguagesGPU programming & kernelsSoftware engineering+1
スライド 11 枚1:01:23EN
Jane Street· 2025年8月27日Will Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.Programming LanguagesSoftware engineering開発ワークフローとテスト+1
58:47EN
Jane Street· 2025年7月28日Daniel 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.インフラとデプロイEnergyオブザーバビリティと信頼性+1
スライド 4 枚1:27:41EN
Jane Street· 2025年7月24日Ron Minsky on the Saga of Multicore OCaml at Jane StreetYaron 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.Programming LanguagesSoftware engineeringオブザーバビリティと信頼性
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