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The post Vitalik Buterin Calls for “Open Source and Verifiable” Self-Driving Cars appeared com. On November 2, Ethereum (ETH) co-founder Vitalik Buterin sent a short but pointed message into the tech ether: “We need open source and verifiable self-driving cars.” The tweet landed like a provocation and a challenge at once, a call for transparency in a field where code, models and sensor streams decide life-or-death outcomes, and where opaque, proprietary stacks have so far dominated the road. At first glance, the line reads like a principled manifesto: open source as a check against proprietary secrecy, and verifiability as a guardrail for trust and accountability. But there’s a deeper technical case folded into that phrase. Autonomous systems are not just software; they are sensor networks, machine-learning pipelines, communications infrastructures and legal constructs. Making them “verifiable” means building mechanisms to prove, to regulators, to courts, and to the public, that a vehicle was running a particular software version, that its decision-making process met a safety contract, or that a sensor reading was authentic and unaltered. Blockchain and modern cryptography offer practical ways to stitch those proofs together without turning every car into a streaming data breach. Immutable Ledger The simplest blockchain analogy is the immutable ledger. If a vehicle publishes cryptographic hashes of critical telemetry, software manifests, or signed attestations onto a permissioned ledger, investigators can later show that the evidence they examine matches what the car itself declared at the time. That is the idea behind several academic proposals and prototypes: fragmented ledgers for vehicle forensics, “vehicle passports” that anchor attestations off-chain while keeping proof on-chain, and permissioned blockchains that constrain who can write or read sensitive automotive records. Those systems aim to preserve privacy while maintaining tamper-evidence, a vital balance when the raw sensor logs from LIDAR, radar and cameras are privacy goldmines. But verifiability at the scale required by autonomous vehicles also.