Car is a smartphone on wheels. Here's who's listening

Original Article ↗ Hacker News Discussion ↗

Connected cars are increasingly described as “smartphones on wheels,” constantly collecting location, driving behavior, and infotainment data and sharing it with manufacturers, data brokers, insurers, and big tech. Commenters highlight how hard it is to truly opt out—features like navigation, cameras, or even basic controls are often tied to always-on connectivity—leading some to keep or seek out older, less connected vehicles instead. There is broad concern that regulation and enforcement lag far behind the technology, creating a de facto surveillance infrastructure whose benefits (safety, convenience, traffic enforcement) may not justify the long‑term privacy risks.

Scope of in-car surveillance

  • Many see modern cars as always-connected surveillance devices; connectivity is often active regardless of subscriptions.
  • Telemetry and location tracking are described as difficult or impossible to meaningfully opt out of; disabling it may break features.
  • Some argue that if connectivity is “free,” the driver is the product; others note even paid services don’t stop tracking.

Navigation, screens, and UX trade-offs

  • Debate over using built-in navigation vs smartphones:
    • Smartphone apps seen as better and (relatively) better regulated.
    • Older cars with offline GPS and SD-card map updates are valued; people note roads rarely change enough to require constant updates.
  • Some manufacturers (e.g., examples from Europe) offer limited data opt-outs but bury broad “safety and maintenance” clauses that allow data sharing with insurers and brokers.
  • A subset of commenters want “no screens” at all; others like connectivity features such as live speed limits but dislike the attached surveillance.

Legal and regulatory angles

  • EU commenters cite ePrivacy rules that should restrict reading data from cars unless “strictly necessary,” but enforcement is described as slow, weak, and often without meaningful fines.
  • In the US context, laws like the Patriot Act are brought up as milestones in long-running privacy erosion.
  • There is frustration that consumer protection and privacy law are far behind automotive tech and data practices.

Study methodology and limits

  • The linked study is praised but also critiqued:
    • It only inspects domains contacted, not payloads.
    • The “active” test involves using as many features and apps (e.g., YouTube), so high counts of ad/analytics domains may just mirror a normal browser session.
    • Only a small set of models were tested; commenters lament the absence of a searchable per-model database and note cost (~$1M) as a barrier, arguing transparency should be mandated.

User responses and workarounds

  • Many intentionally buy older cars (often pre-2010s) to avoid connectivity; some retrofit them with simple CarPlay/Android head units or just use phone mounts.
  • Others report attempts to physically disable modems, but note increasing integration makes this hard and can cripple core functions.
  • There is interest in a market for “de-connected” or open-source vehicles, but skepticism that demand or engineering effort is sufficient.

Mass surveillance attitudes and politics

  • Extensive debate over why many people appear “pro-surveillance” or indifferent:
    • Some cite “nothing to hide” attitudes, desire for convenience, fear of crime, or faith in institutions.
    • Others stress outgroup targeting: people support surveillance when they think it will only affect “others.”
    • Political alignment is discussed in terms of authoritarian vs libertarian rather than left vs right.
  • Several fear a broader shift toward a surveillance-driven, AI-enhanced control system, with concerns about democracy, blackmail, and social-credit-like scoring.

Security and remote control risks

  • Commenters link to prior demonstrations of remote car hacking (e.g., via CAN bus, infotainment), and argue it would be surprising if such attacks were not possible.
  • Some note that segmenting networks and adding “firewalls” in cars is technically feasible, but there is little trust that manufacturers or states will genuinely prioritize it.

Insurance, enforcement, and use of data

  • Examples like Tesla’s insurance model show mandatory driving-behavior monitoring tied to premiums.
  • Some are willing to accept surveillance if it were strictly for traffic enforcement; others strongly oppose this as “hell on earth” and warn about precedent and mission creep.

Sense of inevitability vs resistance

  • One camp believes the surveillance battle is effectively lost given current tech and data ecosystems.
  • Another insists that conceding inevitability is defeatist, pointing to historical consumer-rights gains and urging legal, regulatory, and market pushback.