News
Tesla provides details on recent Autopilot crash amid NHTSA investigation
Tesla has released its findings about the recent Model S Autopilot crash in South Jordan, Utah. The accident, which involved a Model S crashing into a parked firetruck at 60 mph last Friday, is currently under investigation by the NHTSA. The driver of the Model S, a 28-year-old Lehi woman who escaped the collision with a broken ankle, later stated that the car had been on Autopilot when the accident happened.
Technicians from the electric car company have issued their findings after retrieving the vehicle’s logs. Here are the conclusions from Tesla’s report.
- The driver engaged Autosteer and Traffic Aware Cruise Control on multiple occasions during this drive cycle. She repeatedly canceled and then re-engaged these features, and regularly adjusted the vehicle’s cruising speed.
- Drivers are repeatedly advised Autopilot features do not make Tesla vehicles “autonomous” and that the driver absolutely must remain vigilant with their eyes on the road, hands on the wheel and they must be prepared to take any and all action necessary to avoid hazards on the road.
- The vehicle registered more than a dozen instances of her hands being off the steering wheel in this drive cycle. On two such occasions, she had her hands off the wheel for more than one minute each time and her hands came back on only after a visual alert was provided. Each time she put her hands back on the wheel, she took them back off the wheel after a few seconds.
- About 1 minute and 22 seconds before the crash, she re-enabled Autosteer and Cruise Control, and then, within two seconds, took her hands off the steering wheel again. She did not touch the steering wheel for the next 80 seconds until the crash happened; this is consistent with her admission that she was looking at her phone at the time.
- The vehicle was traveling at about 60 mph when the crash happened. This is the speed the driver selected.
- The driver manually pressed the vehicle brake pedal fractions of a second prior to the crash.
- Contrary to the proper use of Autopilot, the driver did not pay attention to the road at all times, did not keep her hands on the steering wheel, and she used it on a street with no center median and with stoplight-controlled intersections.
In a statement to the Deseret News, South Jordan Police Sgt. Sam Winkler stated that the driver of the electric car had been looking at her smartphone because she was searching for an alternate route.
“She looked up just as the accident was about to happen,” Winkler said.
Police have issued the Model S driver with a traffic citation due to her “failure to keep a proper lookout.” The citation was issued to the Model S driver this Wednesday.
The NHTSA has opened an investigation on the accident on Wednesday as well. In an emailed statement to CNBC News, the NHTSA noted that it is deploying a special investigation team to gather information about the accident.
“Consistent with NHTSA’s oversight and authority over the safety of all motor vehicles and equipment, the agency has launched its special crash investigations team to gather information on the South Jordan, Utah, crash. NHTSA will take appropriate action based on its review,” the NHTSA wrote.
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
- The aftermath of the Tesla Model S crash in Utah. [Credit: Good4Utah News]
Tesla CEO Elon Musk has commented on the crash through his personal Twitter account, stating that what’s noteworthy about the accident was that the driver of the vehicle only broke an ankle despite crashing into a firetruck at 60 mph. Musk noted that such accidents at such speeds “usually result in severe injury or death.” In a later tweet, however, Musk stated that Autopilot does need to get better.
It certainly needs to be better & we work to improve it every day, but perfect is enemy of good. A system that, on balance, saves lives & reduces injuries should be released.
— Elon Musk (@elonmusk) May 14, 2018
Tesla’s Autopilot system is a focal point of an ongoing NTSB investigation about a Model X crash near Mountain View, CA. During that incident, the Model X smashed into a bare crash attenuator while traveling at highway speeds, resulting in the tragic loss of its driver. Tesla and the NTSB ultimately parted ways as the investigation proceeded, mainly due to the electric car maker’s release of data pertaining to the crash before the NTSB’s investigation was complete.
Investor's Corner
Tesla Q2 Earnings: Here’s what to expect
Tesla (NASDAQ: TSLA) will report its earnings for the second quarter of 2026 this evening after market close, and investors and analysts are waiting anxiously to see what the company will report for the second three-month span of the year.
Analysts have already put out their expectations from a financial standpoint for the company’s second quarter, but what’s unknown is what Tesla plans to discuss during the call.
Financial Expectations
Wall Street consensus expectations put Tesla’s Earnings Per Share (EPS) at $0.53, while revenues are expected to come in around $26.4 billion.
This would compare to an EPS of $0.39 and $22.19 billion compared to Tesla’s Q2 2025. Last quarter, EPS came in at $0.41 on $22.387 billion of revenue. Additionally in Q1, Tesla beat analyst expectations, but shares dropped over 3 percent the following trading day.
What We Expect
In terms of discussions, Tesla earnings are pretty sporadic and depend on a handful of things, including current events, investor questions, and more.
Tesla uses a platform called Say to field questions from investors and analysts. These questions are what will be used during the call. Here are the top 5 from the Retail side and top 3 from the Institutional side:
Retail:
“Tesla has missed short-term guidance on robotaxi 3 earnings reports in a row, from 50% coverage of USA by end of 2025 to most recently 7 new cities in 1H26. What is keeping Tesla back from accomplishing these short term goals that they’ve set for themselves?”
“What are the main constraints to expanding robotaxi operations faster, and how do you see that lining up with Cybercab production?”
“What’s the current status of Optimus Gen 3 production ramp, initial deployment in factories, and external sales timeline/volume for 2027? What tasks can we expect the Optimus to perform by end of 2027?”
“To reward long-term Tesla retail shareholders for their loyalty, can you commit to achieving at least half of the goals outlined in your 2025 compensation plan before considering any offers to acquire or merge Tesla?”
“Why has growth of robotaxi vehicles stalled? When will we see cybercab start customer rides?”
Institutional
“Previously, you’ve said Tesla would lead the R&D while SpaceX would lead production for Terafab. Can you provide an update on how that division of responsibilities is evolving, and any additional clarity on the expected capital contributions from Tesla and SpaceX?”
“For autonomous driving, Tesla’s fleet created a huge data advantage by collecting billions of real-world miles. That advantage doesn’t yet exist for Optimus. How should we think about data availability and its impact on Optimus development?”
“Why is it necessary to limit robotaxi operations within specific zones within cities to start? Will every city have to be rolled out this way?”
Tesla will report earnings for Q2 this evening with the Shareholder Deck at 4 p.m. ET, with the call starting around 5:30 p.m. ET.
Elon Musk
Elon Musk handed Grok something no other AI company can get their hands on
Elon Musk says SpaceX will feed engineering data into Grok’s next model, avoiding restricted material.
Elon Musk said Tuesday that SpaceX will feed its internal engineering data into the next major training run for Grok, the AI model now folded into SpaceX following February’s merger. In a post on X, Musk wrote that SpaceX’s “massive corpus of world-class engineering data,” excluding anything restricted under U.S. arms export law, will be added during supplemental training of what he called the “2T run,” a reference to a roughly two trillion parameter model that would nearly double the parameters behind the latest Grok 4.5 that’s rolling out.
SpaceX’s massive corpus of world-class engineering data (excluding material blocked by ITAR) will be added during supplemental training of the 2T run.
This will dramatically improve Grok’s engineering capabilities. https://t.co/BbQEViFByn
— Elon Musk (@elonmusk) July 21, 2026
The excluded material that Musk is referring to would fall under the International Traffic in Arms Regulations (ITAR), which restricts export of technical data tied to defense and space hardware. That likely rules out propulsion specifics for Merlin and Raptor engines along with guidance and control details for SpaceX’s launch vehicles, but leaves manufacturing knowledge, materials science, and Starlink hardware design on the table.
The announcement extends a pattern that has been building since SpaceX’s Nasdaq debut in June, when the company went public with Grok and xAI’s Colossus supercomputer folded into the pitch to investors.
Days after that listing, SpaceX closed its $60 billion all stock acquisition of coding startup Cursor, giving xAI both enterprise software distribution and a stream of real world developer data to train on. Grok 4.5 launched July 8 running partly on that Cursor training data, with Musk describing it as roughly comparable to Anthropic’s Opus 4.7 but faster and cheaper to run.
Feeding SpaceX’s own engineering data into the next AI model follows the same logic Musk has applied across xAI’s sister companies. Tesla supplies real world driving data and manufacturing expertise, X supplies conversational data, and now SpaceX supplies aerospace engineering data built up since 2002.
Musk did not give a release date for the upcoming AI model, referred to elsewhere as Grok 4.6. He has said the two trillion parameter run is in its final training phase and expected to wrap this week.
News
Tesla expands ridesharing service in California to new hotspot
Tesla has extended its Bay Area ride-hailing service to include pickups and drop-offs at San Francisco International Airport (SFO). The update, shared via the company’s official channels on July 21, allows users in the region to request rides directly to and from one of California’s busiest airports.
The expansion builds on Tesla’s secured limousine permit for SFO operations. Public records show the permit became effective March 20, 2026, and remains active through January 31, 2027. Tesla vehicles operating the service now display authorized limousine permits issued by the City and County of San Francisco.
Our Bay Area rideshare service now goes to SFO ✈️
— Tesla AI (@Tesla_AI) July 21, 2026
Tesla’s ride-hailing program in California relies on Model Y vehicles equipped with Full Self-Driving (Supervised) technology. Human safety drivers remain present in compliance with state regulations, distinguishing the service from fully driverless operations.
The Bay Area geofence covers a broad area spanning north of San Francisco to south of San Jose, offering extensive connectivity across the region.
UPDATE: Elon Musk reveals why Tesla didn’t say ‘Robotaxi’ upon California launch
This SFO addition follows earlier progress at other Bay Area airports. Tesla previously expanded service to San Jose Mineta International Airport (SJC) in late 2025. The company had engaged with SFO, SJC, and Oakland International Airport officials as early as September 2025 to secure necessary approvals for passenger transport.
The service provides a new option for travelers seeking electric, app-based transportation integrated with Tesla’s ecosystem. Rides are booked through Tesla’s dedicated ride-hailing application, which handles matching, routing, and payments. Pricing follows standard ride-hailing models, with potential adjustments based on distance, time, and demand.
Tesla’s California ride-hailing program launched in July 2025 with an initial invite-only rollout in the Bay Area. It started alongside operations in Austin, Texas, marking the company’s second major U.S. market.
The Bay Area remains a primary focus in California, with service centered on high-demand corridors connecting residential, commercial, and now major transportation hubs. This latest airport integration represents a practical step in Tesla’s broader mobility ambitions within the state.



