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Tesla publishes guide to retrieving crash event data from a vehicle’s black box recorder

Tesla Model X saves family after a horrific head-on crash [Photo: Jonathan Braman]

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Tesla is now allowing owners of its vehicles to access their cars’ Event Data Recorder (EDR), commonly known as the ‘black box’ of autos, through a set of licensed tools and software.

As noted by Tesla on its official help page for its EDR user guide, all of the company’s vehicles save for the original Roadster are equipped with an Event Data Recorder. The recording devices are only activated once the vehicle senses a non-trivial physical occurrence in the vehicle. Thus, during normal driving conditions, the EDR is deactivated.

In the event that data logs from the EDR need to be accessed, however, Tesla’s new set of proprietary tools and software can retrieve data from the vehicle’s black box. The following hardware is required to gain access to the data to the Model S, X, and 3’s EDR.

  • A Windows computer (Mac OSX and Linux are not supported)
  • A PCAN-USB, which is a USB-to-CAN adapter manufactured by Peak System
  • The appropriate Tesla Model S, X, or 3 cable from the EDR Retrieval Hardware Kit

On the software front, Tesla owners are required to have the necessary device drivers for the PCAN-USB adapters and Tesla’s EDR Retrieval Program, which could be downloaded here for free. Using Tesla’s software, owners can generate a PDF report outlining the findings from their electric cars’ data recorder.

As noted by the NHTSA, data from EDRs usually include readings on the vehicle’s speed, as well as inputs from its accelerator, brakes, and steering. The status of the car’s ABS activity, stability control, and whether the driver was wearing a seatbelt are usually part of EDR readings as well.

While the software needed to access the data is free, Tesla does require Model S, X, and 3 owners to purchase the EDR Hardware Retrieval Kit from Crash Data Group to gain access to their EDR’s contents. The hardware kit is priced at $995, though pre-orders for the equipment are available for $795. The EDR kit is compatible with in-vehicle retrievals and direct-to-module retrievals.

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One thing of note is that the EDR data that Tesla is allowing its customers to access through its hardware kit and software is not the same data that the company uses when citing Autopilot logs in the past. As noted by artificial intelligence developer Dr. Lance B. Eliot in an AI Trends report, the data that Tesla cited during the investigation of the fatal Model S crash back in 2016 actually came from the electric car’s Electronic Control Unit (ECU), not its EDR. As the NTSB found out during its investigation, Tesla is quite protective of its ECU data, with the information being recorded in a proprietary format that can only be accessed and read by the California-based firm.

As we noted in a previous report, Tesla is continually improving the safety features of its vehicles. Just recently, a major crash involving a Model 3 prompted a quick response from Tesla CEO Elon Musk, who announced improvements for the mass market electric car’s glove box and center touchscreen.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Q2 Earnings: Here’s what to expect

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(Credit: Tesla)

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.

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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?”

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“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.

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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.

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Artistic concept rendering of SpaceX data being incorporated into a Grok AI model

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.

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.

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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.

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Tesla expands ridesharing service in California to new hotspot

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Credit: Tesla

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.

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.

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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.

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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.

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