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6,234 件
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21:35EN
Masters of Scale· 2026年11月11日ポッドキャスト · 2 人Eric Ries: Why successful companies lose the purpose that made them workゲスト Eric Ries · ホスト Krista TippettRies argues that pressure from capital can erode a company’s mission, and that trust deserves a place in business decisions.Company BuildingCompany CultureLeadership+1
56:06EN
a16z· 2026年11月11日Mike Volpi: AI infrastructure can endure a market correctionRaghu Raghuram, Guido Appenzeller, Mike Volpi · Andreessen HorowitzThe former Cisco executive sees useful assets beyond the hype, but questions who will own them and how systems will evolve.インフラとデプロイSemiconductorsVenture Capital
1:42:10EN
Jane Street· 2026年11月11日How quickly could AI improve itself? Four forecasters disagreeYaron Minsky, Jaime Sevilla, Ege Erdil, Ryan Greenblatt, Daniel Kokotajlo · Jane StreetOne forecaster puts AI research automation at 50% by 2028; another sees a slower path as more likely, with a real chance of rapid progress.AGI TimelinesAI researchAI Safety+2
スライド 3 枚18:18EN
Matthew Berman· 2026年11月11日Fable 5.2 leads a week of model releases, but cost changes the choiceMatthew Berman · Forward FutureMatthew Berman compares Fable and Gemini Carbon, reviews smaller models and discusses Nvidia’s investigation.Machine LearningAI agents
スライド 3 枚12:38EN
AI Engineer· 2026年11月11日How Duolingo uses agents to add tests without skipping human reviewKush Agrawal · DuolingoA scheduled pipeline raised iOS coverage by generating tests, repairing CI and routing pull requests to engineers for approval.コーディングエージェント開発ワークフローとテストSoftware engineering
1:03:19EN
Stanford Online· 2026年11月11日Manage AI sources: retrieve selectively and withhold context when usefulCynthia Bailey · Stanford UniversityStanford lecturer Cynthia Bailey explains when to retrieve documents, leave context out and guard against instructions hidden in sources.RAG とナレッジコンテキストエンジニアリングPrompt injection+1
2:55:43EN
PowerfulJRE· 2026年11月11日ポッドキャスト · 3 人Paddy Pimblett on fighting, weight cuts and the lightweight divisionゲスト Paddy Pimblett · ホスト Joe RoganPimblett explains his Saint Denis finish, his difficult recovery from ankle surgery, and why he refuses to fight teammates.Combat SportsMartial ArtsJiu Jitsu+1
スライド 4 枚48:20EN
Theo - t3․gg· 2026年11月10日Fable 5.2 is powerful, but Theo Browne still prefers Opus for everyday codingTheo Browne · T3After a day of tests, Browne compares benchmarks, usage limits and the mistakes that still require a human reviewer.コーディングエージェントBenchmarksモデルと学習
43:35EN
Silicon Valley Girl· 2026年11月10日Isomorphic Labs’ Max Jaderberg on narrowing drug designs with AIゲスト Max Jaderberg · ホスト Marina MogilkoThe researcher explains virtual screening, real laboratory checks and why agent performance must be measured against useful outcomes.Drug DiscoveryAI for scienceAI agents+2
スライド 4 枚38:50EN
AI Engineer· 2026年11月10日LinkedIn’s self-improving agent first had to fix its judgesZiwei Guo, Saloni Gandhi · LinkedInA prompt-optimization loop improved a career agent, but unreliable evaluators required human calibration first.エージェント工学評価とオブザーバビリティAgent orchestration+1
12:48EN
AI Engineer· 2026年11月10日Brian Douglas: Turn agent corrections into reusable review knowledgeBrian Douglas · Paper ComputeThe Paper Compute developer captures expert pushback in coding sessions and tests ways to reuse it during review.コーディングエージェント開発ワークフローとテストSoftware engineering+1
59:06EN
a16z· 2026年11月10日Dharmesh Shah: Find startup opportunities beyond the AI labs’ pathJoe Schmidt, Dharmesh Shah · Andreessen HorowitzHubSpot’s co-founder explains how to test narrow ideas, build around customer work and use AI without relying on a temporary model gap.AI startups & small teamsProduct Strategyエンタープライズ AI+2
スライド12:20EN
AI Engineer· 2026年11月10日Ayush Bhardwaj: Agent workarounds are feedback for your CLIAyush Bhardwaj · Allos AIAn audit of coding sessions shows where output, errors and stale instructions force agents to improvise.コーディングエージェント開発ワークフローとテストエージェント工学+1
1:46:17EN
The Knowledge Project Podcast· 2026年11月10日ポッドキャスト · 2 人Jon McNeill on Tesla’s speed: delete steps before automatingゲスト Jon McNeill · ホスト Shane ParrishThe former Tesla president explains the sales bottleneck, product feedback and five-step simplification method behind rapid growth.LeadershipDecision MakingProduct Management+2
23:03EN
Masters of Scale· 2026年11月10日ポッドキャスト · 3 人Tubi and e.l.f. grew by serving audiences incumbents overlookedゲスト Anjali Sud, Kory Marchisotto · ホスト Bob SafianAnjali Sud and Kory Marchisotto explain free streaming, affordable beauty and direct feedback from fans.Product StrategyGrowth StrategyDigital Media+1
43:05EN
The Builders· 2026年11月10日Alex Karp says AI could widen inequality—and rejects a wealth taxゲスト Alex Karp · ホスト Walter IsaacsonThe Palantir CEO links data sovereignty, surveillance limits and a proposed tax-and-efficiency trade-off.AI RegulationPrivacy & data governanceEconomics+1
スライド 5 枚12:57EN
AI Engineer· 2026年11月10日Harvey’s agents scaled until their platform and merge queue brokeJoey Wang · HarveyAfter an alert spawned 900 agents and one engineer launched 950 tasks, Harvey added deduplication and fair scheduling.エージェント工学Agent orchestrationDeveloper productivity+1
31:18EN
Hard Fork· 2026年11月10日ポッドキャスト · 2 人Nvidia’s board investigates reports involving Jensen Huangゲスト Stephen Witt · ホスト Max ReadJournalist Stephen Witt discusses leadership risk, export controls and unanswered questions around Megaspeed.SemiconductorsGeopoliticsAI Regulation+1
スライド 3 枚51:48EN
AI Engineer· 2026年11月10日Compose small decisions before reaching for a generative modelRaymond Weitekamp · OpenProseRaymond Weitekamp demonstrates recursive decision models and sketches a voice-first computer interface.AI agentsエージェント工学Agent orchestration
スライド23:00EN
AI Engineer· 2026年11月10日A passing PR check needs evidence tied to the submitted codeStephen Chin, Cassandra Chin · Neo4jStephen and Cassandra Chin show how Tracetoon connects agent traces, code changes and checks before writing a reviewable pull request.コーディングエージェント開発ワークフローとテストSoftware engineering+1
スライド 4 枚22:49EN
AI Engineer· 2026年11月10日When many coding agents share one codebase, delivery must handle concurrencyPatrick Debois · TesslPatrick Debois explains how shared planning, merge strategies and risk-based review can help teams coordinate agents.コーディングエージェントSoftware engineeringソフトウェアファクトリー
スライド 6 枚23:57EN
Google Cloud Tech· 2026年11月10日Six front-end ideas that make AI-built apps easier to debugDevin Chasanoff · Google CloudDevin Chasanoff uses an interactive game tracker to show where data lives, how values are derived and how components communicate.Software engineeringコーディングエージェント開発ワークフローとテスト+1
スライド 4 枚38:07EN
GOTO Conferences· 2026年11月10日A smoother reorganization starts by letting teams design itJoakim Sundén · Better Product WorkJoakim Sundén pairs leadership’s strategy with employees’ knowledge of daily work, then lets people select teams.ManagementLeadershipProduct Management
スライド 3 枚1:25:52EN
Latent Space· 2026年11月10日ポッドキャスト · 2 人Zeno Rocha on building email tools for people and agentsゲスト Zeno Rocha · ホスト Shawn WangThe Resend co-founder explains deliverability, agent-facing interfaces and why he writes product information for machines to read.Product StrategyAI agentsProduct-Led Growth
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