RJ Scaringe on Vehicle Software and Update Complexity

A Rivian executive compares distributed controllers with more centralized designs.

RSRJ ScaringeInvité · Rivian
Chaîne
No Priors: AI, Machine Learning, Tech, & Startups
Publié
14 févr. 2026
Vidéo
1:08
Lecture
1 min
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

RJ Scaringe discusses electronic control units, supplier coordination and vehicle software updates. Vehicle architectures and OTA capabilities differ across models.

  1. 1Multiple controllersVehicle functions may run across many electronic units.
  2. 2Coordination costCross-domain features can require changes across teams.
  3. 3Architecture choicesCentralization can simplify some updates but results vary.

À retenir

  1. Vehicle functions may be distributed across controllers.
  2. Cross-domain features require coordination.
  3. Architecture affects how updates are designed and delivered.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

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.

02

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.

Sur la même chaîne

38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 oct. 2026Podcast · 3 voixServal’s Jake Stauch on coding agents for enterprise ITInvité : Jake Stauch · Anime : 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.IA en entrepriseAgents de codeWorkflow automation+2
1:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 27 oct. 2026PodcastGeorge Kurtz on How AI May Change CyberattacksInvité : George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 oct. 2026Podcast · 2 voixThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityAnime : 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.SécuritéAI securitySécurité et gouvernance+3
1:04EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 oct. 2026PodcastWalter Goodwin on the Slow Steps in Chip DesignInvité : Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.SemiconductorsAI cost & performance
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct. 2026Podcast · 2 voix10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerAnime : 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.Open source et communautéOpen-weight modelsReinforcement Learning+3
0:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 oct. 2026PodcastMichael Lee on Rethinking Organizations with AIInvité : Michael LeeA business leader argues that the opportunity goes beyond faster tasks.