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Karpathy notes Tesla Autopilot demonstrates partial autonomy pattern: neural networks gradually replace hand-coded C++ logic over time
Andrej Karpathy· Independent· AI· 2026-06-03· about Tesla (TSLA)
“When I was at Tesla, we were working on the autopilot... The neural network grew in capability and size. And in addition to that, all the C++ code was being deleted and a lot of the capabilities and functionality that was originally written in 1.0 was migrated to 2.0... The software 2.0 stack would quite literally ate through the software stack of the autopilot.”
Why it matters
Tesla's Autopilot demonstrates that as neural networks mature, they progressively replace hand-coded logic. This is a replicable pattern across software systems.
Investment implication
Companies with legacy codebases (C++, traditional control logic) face pressure to migrate to neural network-based approaches. Infrastructure vendors supporting this transition (model training, inference optimization, data pipeline) will benefit.