The Tesla AI team successfully rolled out FSD (Supervised) for the Cybertruck this weekend. While the system has mostly been released to company employees and early access testers, the first videos of FSD (Supervised) V12.5.5 on the Cybertruck are starting to get shared online. Based on comments from Cybertruck owners so far, it would appear that FSD (Supervised) is working fairly well on the all-electric pickup truck.
Tesla Director of Autopilot Software Ashok Elluswamy noted in a post on social media platform X that the Cybertruck is the first Tesla to receive end-to-end highway driving. Release notes shared online also revealed that the Cybertruck’s FSD came with vision-based attention monitoring with sunglasses.
Among the Tesla community members whose Cybertrucks received the FSD (Supervised) update are longtime Full Self-Driving testers Whole Mars Catalog and Dirty Tesla, both of whom have been testing the advanced driver-assist system for years. Based on the two FSD veterans, it appears that the Cybertruck’s FSD (Supervised) system features a number of interesting characteristics.
The first early access build of Cybertruck FSD is out! I went for a drive from Beverly Hills to Santa Monica with @BLKMDL3 and @___alexys___ to see how it performs.
Watch in 4K: https://t.co/AB9zGX9y3H pic.twitter.com/Y7Rs0XpvZe— Whole Mars Catalog (@WholeMarsBlog) September 30, 2024
During a drive from Beverly Hills to Santa Monica in California, longtime FSD tester Whole Mars Catalog observed that the Cybertruck’s FSD system behaved just like FSD in Tesla’s other vehicles, though it needs more tuning for the larger size of the all-electric pickup truck. The Cybertruck owner also noted that FSD (Supervised) was able to make tight lane changes properly, but the system does not work in trailer mode yet.
Here’s my summary/review of FSD for Cybertruck tonight thanks to @WholeMarsBlog for the ride.
For the first FSD release it was great + better than we expected it to be. It did some things super well like having smooth turns and very smooth braking.
FSD seemed to know the size… pic.twitter.com/VKNiMpV5T5— Zack (@BLKMDL3) September 30, 2024
Fellow Tesla owner @BLKMDL3, who was with the longtime FSD tester during the Cybertruck FSD (Supervised) drive, observed that the visuals on the vehicle’s infotainment display were extremely smooth. He also noted that the Cybertruck’s FSD system displayed some smooth turning and breaking behaviors. The vehicle, however, reportedly moved a bit slow on the highway, and there were some quirks that needed ironing out.
Here’s the only mistake I saw FSD make so far in Cybertruck, but I did see it two separate times – making too sharp of a left turn.
Full video: https://t.co/Haw2AVVe1b pic.twitter.com/O9sZkNsHZH— Dirty Tesla (@DirtyTesLa) September 30, 2024
FSD veteran Dirty Tesla, for his part, opted to test the Cybertruck’s FSD (Supervised) system during a nighttime drive in Michigan. The Tesla owner observed that corrections using the Cybertruck’s steer-by-wire system were very natural and smooth. He also observed that the vehicle was able to stay in lane, perform lane changes, and exit the highway fairly well. The vehicle, however, did require a few interventions during the drive.
Cybertruck FSD takes a Michigan left (U-turn kinda, and yes rear wheel steering is used in FSD) pic.twitter.com/rkxVz4YZQJ— Dirty Tesla (@DirtyTesLa) September 30, 2024
Overall, the Tesla Cybertruck’s FSD (Supervised) system seems to be a pretty solid update to the all-electric pickup truck, though it is understandable that it is still only being released to early access testers. Considering how good this initial FSD (Supervised) version is on the Cybertruck, however, it would be very exciting to see just how much better the vehicle’s advanced driver-assist system could get in the coming months.
Check out Dirty Tesla’s Cybertruck FSD (Supervised) test in the video below.
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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.