Topic

safety

5 signals

See also on the DEPLOY registry: Verified incidents

Economics3 hours ago

Software becoming the biggest bottleneck to physical AI innovation, finds QNX research

QNX, the BlackBerry-owned embedded OS division, released an OnePoll survey of 1,000 robotics software developers finding 27% cite software architecture and integration as their biggest performance bottleneck versus 16% for hardware, while 91% still run real-time workloads at least partly on general-purpose operating systems. Two-thirds of respondents reported certification-related project delays, rising to 70% in the UK and Germany versus 56% in China.

Why it matters

The number to dwell on is the certification delay gap: 70% of UK and German teams report project slippage from certification versus 56% in China. That is a 14-point speed advantage that compounds across product cycles, and it is showing up in the survey data before it shows up in deployment counts. For anyone modeling time-to-revenue on a humanoid or mobile manipulator, the regulatory cost of operating in Europe is now quantifiable and material.

The other tell is that 91% of developers admit they are running deterministic, safety-critical workloads on general-purpose operating systems (read: Linux), and 86% of that group say they are open to switching. That is a vendor's dream survey, and QNX commissioned it, so discount accordingly. But the underlying tension is real: the robotics stack was built on ROS plus Ubuntu because it was fast to prototype, and nobody wants to be the company that ships a hospital robot certified on a kernel they cannot freeze. Expect a wave of safety-certified RTOS procurement over the next two years, with QNX, Wind River VxWorks, and Green Hills INTEGRITY as the obvious beneficiaries.

MappingMay 28

Tesla’s own AI trainers don’t trust ‘Full Self-Driving’ or its safety stats, Reuters finds

Source: Electrek

A Reuters investigation based on interviews with nine former Tesla data labelers, a former self-driving engineer, and 11 traffic-safety researchers found that Tesla's "10x safer than human" FSD safety claim relied on comparing Tesla airbag-deployment crashes to federal tow-away crash data, a mismatch a University of Michigan researcher recalculated to roughly 3x when normalized. The report also documents that Tesla extensively pre-mapped its Austin robotaxi zone and the Warner Bros. Cybercab demo route, doubling its Utah labeling staff to about 300 ahead of the June 2025 Austin launch, which still operates around 20 unsupervised vehicles.

Why it matters

The headline finding for operators isn't the safety stat. It's the mapping. Tesla has built its entire AV thesis, and a meaningful portion of its valuation, on the claim that it doesn't need the geofenced HD-map approach Waymo uses. Reuters now has sourced internal accounts of staff driving the Austin zone every night for weeks, labelers annotating curbs and stop lights by hand, and the Utah team doubling to ~300 specifically to prep the launch. That's the Waymo playbook with worse tooling, not a generalized self-driving stack.

The scaling math follows directly. Nearly a year in, Austin is still ~20 unsupervised cars in a hand-annotated zone, some with front-seat monitors. If each new metro requires hundreds of labeler-hours per square mile of operating domain, Tesla's cost-to-expand curve looks a lot more like Waymo's than like a software update push. The 3x vs 10x safety restatement matters for the NHTSA cases and the $243M Florida verdict; the mapping disclosure matters for anyone modeling robotaxi unit economics or competing capex plans.

ChinaMay 28

China’s BYD aims for zero accidents with ‘God’s Eye’, vows crash cost coverage

Source: Tech - South China Morning Post

BYD chairman Wang Chuanfu announced at a Shenzhen press conference that the company's "God's Eye" advanced driver-assistance system will be priced at 12,000 yuan (US$1,770) and that BYD will cover any costs from traffic accidents that occur while the hands-off system is activated. Wang did not give a commercialization timetable; he also said BYD has built more than 6,100 flash-charging stations.

Why it matters

The number that matters is 12,000 yuan, roughly $1,770, for a hands-off ADAS stack that includes more than a dozen cameras, lidar and radar. That is below the bill-of-materials most Western Tier 1s quote just for an automotive lidar unit. BYD is pricing God's Eye like a trim option, not a software upgrade, and using vertical integration (in-house silicon, sensors, batteries) to make the math work. For any operator pricing an L2+ or hands-off stack for the Chinese market, this resets the ceiling.

The liability pledge is the more interesting signal. Tesla, Mercedes (Drive Pilot) and a handful of Chinese OEMs have flirted with assuming costs during activation, but BYD doing it across a mass-market lineup turns ADAS from a feature into an insurance product. Watch whether BYD self-insures the exposure or wraps it with Ping An or PICC; that contract will tell you what BYD's internal disengagement and crash-rate numbers actually look like. The absence of a commercialization date is the hedge: Wang is setting the market's price expectations now and giving the regulators and underwriters time to catch up.

EconomicsMay 26

Tesla ‘Robotaxi’ fleet is actually shrinking, not growing, new data shows

Source: Electrek

Tesla's unsupervised Robotaxi fleet has dropped to 20 active vehicles (14 in Austin, 3 in Dallas, 3 in Houston) from 25 cumulative in late April, according to Robotaxi Tracker data. The total Tesla ride-hailing fleet including supervised Bay Area FSD vehicles has fallen to 34 active units, down from 165 in April, with Bay Area operations collapsing from 107 to 9 vehicles.

Why it matters

One year into commercial operation, Tesla cannot sustain 25 unsupervised vehicles on the road. The reported crash rate at roughly 4x human drivers explains the shrinkage: every additional vehicle adds miles, and miles add incidents that would trigger NHTSA scrutiny Tesla cannot afford during the FSD v15 transition. Pulling vehicles is the rational call, but it inverts the scaling narrative that underwrites the autonomy portion of Tesla's market cap.

The Waymo comparison is now structural, not rhetorical. 20 active vehicles in three cities versus roughly 3,000 across multiple metros, with a Magna-built Mesa line spinning up another 2,000 units. Tesla's bet remains that a vision-only stack with a software rewrite collapses the gap in 2026-2027. For operators modeling robotaxi supply, the takeaway is that geofence size and fleet count are downstream of validated crash rate, and no amount of hardware optionality fixes that until the per-mile safety number moves. Until then, Waymo is the only US operator with a deployable cost model.

LaunchesMay 21

Waymo pauses Atlanta and San Antonio service after robotaxis repeatedly drive into floods

Source: TechCrunch

Waymo has suspended robotaxi operations in both Atlanta and San Antonio after vehicles repeatedly drove into flooded roads. The company is working on software updates to prevent the behavior before resuming service in the two cities.

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