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Tesla Autopilot and artificial intelligence: The unfair advantage
Serial tech entrepreneur and Tesla CEO Elon Musk has had a longstanding fear of artificial intelligence, but his company’s investments in artificial intelligence have been noted as an attempt to keep track of developments in the field of AI. In an interview for Vanity Fair in April 2017, he outright expressed his concerns with AI and claimed that one of the reasons for the development of SpaceX was that it could be an interplanetary escape route for humanity if artificial intelligence goes rogue. However, even Musk realizes the importance of AI in real-world applications, specifically for self-driving cars. At the end of June, Musk hired Andrej Karpathy as the new Director of Artificial Intelligence at Tesla, and MIT Technology Review claims it is the start of a plan to rethink automated driving at Tesla.
Karpathy comes from OpenAI, a non-profit company founded by Musk that focuses on “discovering and enacting the path to safe artificial general intelligence.” Afterwards, he moved on to intern at DeepMind, a place that spotlighted reinforcement learning with AI. Karpathy’s previous research focuses are on image understanding and recognition, which directly translates into applying proven image recognitions algorithms in Tesla’s Autopilot.
Recently, the popular question of morality was brought up in context to AI learning in Autopilot cars. It’s very interesting to consider how to teach technology to respond to an innately human moral problem. The Moral Machine, hosted by Massachusetts Institute of Technology, is a platform built to “gather human perspectives on moral decisions made by machine intelligence, such as self-driving cars.” It questions how the machine would act in human decisions such as whether to crash the driver or keep driving into a pedestrian that is crossing the street where there are no traffic regulators. How exactly do you teach a logical machine the mechanisms of ethical decision-making?
Although Musk and Tesla are the leaders in the self-driving field, a number of other companies are also entering into the competition sphere. Google, Uber, and Intel’s Mobileye have all been considering the application of reinforcement learning in the context of self-driving cars. Uber, Waymo, GM (Cruise Automation), Mobileye (camera supplier), Mercedes and Velodyne (LiDAR Supplier) could be potential competitors in the realm of self-driving vehicles. However, most of the technology does not encompass full self-driving, which is Musk’s aim. While other companies are investing heavily in autonomous fleets, Tesla far outpaces them in terms of data collection and release of finished product.
What are the differentiators for Tesla in the growing field of AI directed driverless cars?
Historically, Musk has focused on “narrow AI” which can enable the car to make decisions without driver interference. The vehicles would increasingly rely on radar as well as ultrasonic technology for sensing and data-gathering to form the basis for Tesla’s Autopilot algorithms. A technology that isn’t derived from LiDAR, the combination of radar and camera system said to outperform LiDAR especially in adverse weather conditions such as fog.
With the introduction of Autopilot 2.0 and Tesla’s “Vision” system, and billions of miles real-world driving data collected by Model S and Model X drivers, Tesla continues to create a detailed 3D map of the world that has increasingly finer resolution as more vehicles are purchased, delivered and placed onto roadways. The addition of GPS allows Tesla to put together a visual driving map for AI vehicles to follow, paving the path for newer and more advanced vehicles.
The addition of Karpathy will be a notable asset for Tesla’s Autopilot team. In specific, the team will be able to apply Karpathy’s deep knowledge of reinforcement learning systems. Reinforcement learning for AI is similar to teaching animals via repetition of a behavior until a positive outcome is yielded. This type of machine learning will allow Tesla Autopilot to navigate complex and challenging scenarios. For example, AI will allow cars to determine in real-time how to navigate a four-way stop, a busy intersection or other difficult situations present on city streets. By making cars smarter with the way they navigate drivers, Tesla will put itself ahead of the curve with a fully-thinking, fully self-driving car.
Tesla is expected to demonstrate a fully autonomous cross-country drive from California to New York by the end of this year as a showcase for its upcoming Full Self-driving Capability. If you’re buying a Tesla Model 3, or an existing Model S or Model X owner, just know that you’re contributing to a self-driving future, mile by mile.
Tesla weirdly confirmed that its steering wheel-less and pedal-less Cybercab vehicle is now in the process of giving employees rides, a huge milestone for the vehicle program.
But the entire thing was super strange. On Friday, Tesla released a video stating that there was “Cool news from Giga Texas” and that employees were now taking rides in Cybercabs that have no manual controls. The units seen on public roads are engineering vehicles that have manual controls inside, a necessity as Tesla moved through the testing phase.
However, Tesla removed the video and reposted it shortly after with a more vague title. It seems like the employee rides are still going, but the video was adjusted slightly. The initial upload showed employees doing things like watching movies and adjusting the climate, but these snippets were removed in the second upload.
Cool news from Giga Texas pic.twitter.com/gvbG456Tzw
— Tesla Robotaxi (@robotaxi) July 11, 2026
Both images below were uploaded with the first video, but were removed after Tesla re-uploaded the announcement. These are not available in the second upload
Credit: Tesla
Credit: Tesla
Nevertheless, the announcement from Tesla is that the Cybercab is operating with employees inside who can control the vehicle’s audio, video, climate, and destination settings through their smartphone app.
Tesla has already been testing Cybercab engineering units, but last month, it was able to self-certify for SAE Level 4, which would enable unsupervised self-driving in Texas. The company is moving toward that, and the plans have always been to launch Cybercab rides this year.
The Cybercab is potentially looked at as the next generation of Tesla’s mobility leg. For the past 15 years, the company has been known as somewhat of an automaker, among many other things. However, these passenger vehicles that Tesla has manufactured are now moving into a new realm, as they will eventually drive themselves with no supervision thanks to the Full Self-Driving suite.
The Cybercab is just the next step of that: a true vehicle developed for the sole purpose of ride-hailing. It has no human controls, it has only two seats, and it will get passengers from Point A to Point B with no awkward driver, no need for manual inputs, and with no stress.
Tesla is moving forward with other developments related to the Cybercab project as well. However, the big announcement will come when Tesla finally announces that it is launching Cybercab rides to the general public, something that it plans to launch either late this year or early 2027.
SpaceX is gearing up for the 13th Starship integrated flight test, which is currently scheduled for Thursday, July 16, with the launch window opening up at 6:30 PM E.T. from Starbase in South Texas.
This mission, the second with the V3 Starship and Super Heavy vehicles, builds directly on the foundation of Flight 12 while introducing ambitious new objectives, including the debut deployment of next-generation Starlink V3 satellites.
The rapid iteration between flights underscores SpaceX’s “fail fast, learn faster” philosophy, with engineers addressing specific anomalies from the previous test to push reusability and payload capabilities further.
Starship’s thirteenth flight test is preparing to launch as early as Thursday, July 16 → https://t.co/Rp7VwBzpWx pic.twitter.com/jdpFlQUEpF
— SpaceX (@SpaceX) July 11, 2026
Flight 12 occurred earlier in 2026 and encountered notable challenges that became catalysts for Flight 13’s improvements. Issues included booster course deviations during the flip maneuver after stage separation, reusability problems with Super Heavy’s Raptor engine relights for the boostback burn, and an engine-out event on the Starship upper stage during its propulsion phase.
These hiccups, while they did not prevent overall mission success, highlighted areas needing refinement for more consistent performance and higher safety margins in future operational flights.
Elon Musk called it Epic: The full story of SpaceX’s Starship Flight 12
In response, SpaceX implemented a comprehensive suite of both hardware and software upgrades.
For the booster, engineers developed a more robust stage separation flip sequence to maintain stable orientation and prevent off-course rotation. Hardware modifications have enhanced Raptor re-light reliability during the boostback burn, complemented by updated engine alarms and abort logic tailored for multi-engine operations. On the Starship side, propulsion system changes directly tackle the Flight 12 engine-out scenario, improving redundancy and operational resilience.
Another major focus of SpaceX for Flight 13 was the advancements in the heat shield. New tile designs and attachment mechanisms, including tests of aft flaps and skirts, aim to boost durability.
Load-sensing tiles will measure real-time stresses during atmospheric entry, while white-painted tiles simulate missing ones as imaging targets. Six of the 20 Starlink V3 satellites carried aboard will feature specialized cameras to scan and transmit heat shield imagery back to ground teams, providing critical data for future return-to-launch-site attempts.
The mission profile also includes a higher dynamic pressure ascent to stress-test the thermal protection system and increase payload potential, alongside a planned in-space Raptor engine relight demonstration.
The V3 Starlink satellites themselves mark a leap forward, equipped with laser links, deployable solar arrays, and improved antennas to expand network capacity and speeds.
The company wrote:
“For the first time, Starship will carry V3 Starlink satellites to space, which aim to greatly expand the network’s capacity and user speeds. As part of this initial test, Starship is planned to deploy 20 satellites which will extend solar arrays and antennas and will attempt to connect with ground stations in South Africa and the larger Starlink constellation via high-capacity lasers. Six of the satellites have been modified with a suite of cameras to scan Starship’s heat shield and transmit imagery down to operators to continue testing methods of analyzing Starship’s heat shield readiness for return to launch site on future missions. Several tiles on Starship have been painted white to simulate missing tiles and serve as imaging targets in the test.”
This dual-purpose flight tests both vehicle reliability and satellite tech in one integrated operation.
These iterative changes, catalyzed by Flight 12’s data, position Starship closer to rapid reusability goals essential for ambitious programs like Artemis lunar missions and global Starlink coverage.
As SpaceX continues its aggressive test cadence, Flight 13 exemplifies how targeted engineering responses to real-flight anomalies accelerate progress toward fully operational, high-cadence launches. Success here could mark another milestone in the Starship program for SpaceX.
Tesla received a price target upgrade just on the heels of what was a crazy successful quarter for its automotive business, as the company reported a delivery beat of over 15 percent for Q2.
Jefferies analysts are upping Tesla’s price target (NASDAQ: TSLA) to $400 from $375, while maintaining their “Hold” rating on shares, and the strong automotive deliveries from Q2 is a big reason. However, there are some other catalysts that Jefferies believes position Tesla for a strong position in the second half of the year.
Strong Deliveries
Tesla reported 480,000 deliveries for Q2, while Wall Street was between 395,000 and 405,000, as an overall consensus. It was an incredibly strong quarter from a delivery perspective, and Tesla sold well more than it produced during the three months.
Tesla crushes Wall Street expectations, beats delivery estimates by over 15 percent
While vehicle deliveries are not necessarily looked at in the light that they used to be, Tesla still maintains a lot of advantages for keeping deliveries strong. With the loss of the $7,500 EV Tax Credit last year, Tesla still maintains a strong demand case for its EVs.
Robotaxi Performance
Tesla has been operating Robotaxi for over a year now, as it launched in Austin in mid-2025. That program has expanded to Houston and Dallas, the San Francisco Bay Area, and, most recently, Miami, Florida, the suite’s first appearance in the Sunshine State.
While the Robotaxi suite is still in its early phases and Tesla is working through things like fleet size and wait times, the company has been able to undercut the pricing of its competitors and has a great safety record.
Merger Speculation with Tesla and SpaceX
This is perhaps the biggest topic that many are speaking about with Tesla and SpaceX, and it is the one thing that seems to be on the mind of every investor.
Jefferies warns that growing talk of a Tesla-SpaceX merger could cause Tesla stock to trade more like a SpaceX proxy, which may disconnect it from underlying automotive fundamentals. SpaceX has a lot going for it, especially its compute deals that have been widely publicized as of late.
Profitability in New Projects Could Take Some Time
Tesla has a few long-term ventures in the pipeline, most notably the Optimus project and Robotaxi, which is launched but will take several years to expand to a meaningful level that resonates with everyday people.
This is something that investors need to be careful of. Tesla’s projects could take some time to round out, so Jefferies advises that these may carry initial losses, rather than immediate profit. Seasoned Tesla investors have echoed something like this for a long time; they knew going in it would not be an open-and-shut strategy. It was going to take time.
These new projects are no different.
Tesla weirdly confirms Cybercab employee rides, a huge milestone
SpaceX comes with a slew of changes for Starship Flight 13
