30초 요약
RJ Scaringe discusses electronic control units, supplier coordination and vehicle software updates. Vehicle architectures and OTA capabilities differ across models.
- 1Multiple controllersVehicle functions may run across many electronic units.
- 2Coordination costCross-domain features can require changes across teams.
- 3Architecture choicesCentralization can simplify some updates but results vary.
핵심 정리
- Vehicle functions may be distributed across controllers.
- Cross-domain features require coordination.
- Architecture affects how updates are designed and delivered.
챕터별로 다듬은 전문 읽기
Distributed controllers
Rivian CEO RJ Scaringe discusses vehicles built around separate electronic control units for functions such as doors, climate and chassis control.
Rivian CEO RJ Scaringe discusses vehicles built around separate electronic control units for functions such as doors, climate and chassis control.
He says a modern vehicle may have many controllers running software developed by different teams, which can make coordination and debugging difficult. The exact architecture varies by vehicle.
Coordinating updates
Scaringe explains that a feature spanning several domains can require changes across suppliers and software components.
Scaringe explains that a feature spanning several domains can require changes across suppliers and software components.
He contrasts this with a more centralized or zonal design, which can simplify some updates. OTA capability and update time still depend on the actual vehicle and system.
같은 채널의 다른 글
38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 29일팟캐스트 · 3명Serval’s Jake Stauch on coding agents for enterprise IT게스트 Jake Stauch · 진행자 Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.
1:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 27일팟캐스트George Kurtz on How AI May Change Cyberattacks게스트 George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 15일팟캐스트 · 2명The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity진행자 Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.
1:04ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 14일팟캐스트Walter Goodwin on the Slow Steps in Chip Design게스트 Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 9일팟캐스트 · 2명10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger진행자 Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.
0:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 8일팟캐스트Michael Lee on Rethinking Organizations with AI게스트 Michael LeeA business leader argues that the opportunity goes beyond faster tasks.