AMCI Testing reported that its drivers intervened more than 75 times during a drive of over 1,000 miles in a 2024 Tesla Model 3 Performance running Full Self-Driving (Supervised). That averaged one intervention every 13 miles, according to AMCI. The result describes this test—not a universal rate for Tesla FSD or a like-for-like comparison with another system.
What AMCI tested—and what it reported
In 2024, AMCI Testing drove a 2024 Tesla Model 3 Performance equipped with FSD software versions 12.5.1 and 12.5.3 for more than 1,000 miles (1,610 km). The route mix included city streets, rural two-lane highways, mountain roads and freeways. AMCI reported more than 75 driver interventions, or an average of one every 13 miles. AMCI’s September 24, 2024 release called the system impressive in some circumstances but not consistently reliable.
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That is AMCI’s account of its own vehicle, drivers, routes and test protocol. It should not be read as a measured rate for every Tesla, software version, driver or road, nor as a direct ranking against other automated-driving systems.
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In an October 2 follow-up, AMCI said its protocol counted an intervention when the driver took control and forced FSD to disengage because its actions put occupants, the public or other motorists at risk. This definition matters: a different test that counts routine takeovers, disengagements for any reason or driver comfort concerns may produce a different rate. AMCI’s releases do not establish that its metric is a standard shared across systems. AMCI’s protocol follow-up explains its rule.
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What the released examples show
A report by Futurism highlighted video examples from the test: the Tesla visibly ran a red light at night, and on another occasion failed to recognize or follow a double-yellow line around a curve, veering toward oncoming traffic before the driver intervened. The same report noted a successful maneuver in which the vehicle moved aside on a narrow road to let oncoming traffic pass. These are selected clips, not an event-by-event audit of the entire drive. Futurism’s report includes the examples and comments from AMCI staff.
AMCI Global CEO David Stokols summarized the firm’s assessment in its September 24 release: “Although it positively impresses in some circumstances, you simply cannot reliably rely on the accuracy or reasoning behind its responses.” AMCI Testing director Guy Mangiamele told Futurism that the variability was troubling: “What’s most disconcerting and unpredictable is that you may watch FSD successfully negotiate a specific scenario many times — often on the same stretch of road or intersection — only to have it inexplicably fail the next time.” These are the testers’ judgments, not findings by a regulator.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Keep AMCI’s later New York City test separate
AMCI published a distinct assessment on October 10, 2024: a 300-mile New York City test using a Hardware 4-equipped 2024 Model 3 and FSD version 12.5.4. AMCI reported an average intervention rate greater than once every 11 miles. That is not an extension of the earlier 1,000-mile result: the software version, setting and stated test scope differed. AMCI’s New York City test release describes that separate evaluation.
How to interpret the intervention rate
“One intervention every 13 miles” is a compact summary of AMCI’s reported count over its test distance, not a prediction of when a driver will next need to take control. The figure depends on which routes and scenarios were driven, who drove, the software and vehicle configuration, and the intervention rule. AMCI’s releases do not provide a full event-level dataset or a directly matched evaluation of a competing system.
A useful comparison with another test would need to align at least these factors:
- Vehicle hardware and FSD software version
- Geography, road types, route selection and total distance
- Driver selection and the rules for when a takeover counts
- Whether the published result is a raw count, rate or disengagement measure
Without those details, comparing headline rates can suggest a precision the evaluations do not support.
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