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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 has launched a new solution to a rare but relevant Supercharger problem with a new Virtual Waitlist, a remedy that will solve sequencing confusion when there is a line to charge at one of the company’s locations.
Teslarati reported on what we called the Virtual Queue last month. In rare occurrences, there were physical altercations at Superchargers when someone might have cut in line to charge. Tesla started to develop some sort of system that would resolve this issue, and now it is finally rolling it out.
Tesla launches solution to end Supercharger fights once and for all
It will start with a Pilot Program, and Tesla is calling it the ‘Waitlist.’
Announced on May 11 on the official TeslaCharging X account, the pilot program is currently active at sites in Los Gatos, Mountain View, and San Francisco in California, as well as San Jose, CA, and the Bronx, NY (East Gun Hill Road). Drivers are encouraged to share feedback directly through the Tesla app to refine the system before a potential broader rollout.
We’re now testing a new waitlist feature at 5 Supercharger sites. Share feedback through the Tesla app to help us make it better.
– Los Gatos, CA – Los Gatos Boulevard
– Mountain View, CA – El Monte Avenue
– San Francisco, CA – Lombard Street
– San Jose, CA – Saratoga Avenue
-… pic.twitter.com/epTVzpJxgW— Tesla Charging (@TeslaCharging) May 11, 2026
Tesla released the video above to showcase the feature, which automatically joins the waitlist when your vehicle has the Supercharger with the wait as the destination in the navigation. There is also a notification that lets you know your place in line.
In this specific example, the video shows that the wait is less than five minutes, and that there are two cars ahead of the one in the video:
Credit: Tesla
Having a wait at a Supercharger is relatively rare, but it does happen. It is even more frequent now that there are more EVs allowed to use the Supercharger Network. Those non-Tesla EVs can also join the queue, as Tesla added in its social media release of the pilot program that they can join the waitlist using the Tesla app.
The release of this program should help alleviate the rare risk of incidents at Superchargers. Tesla will expand this program as it sees fit, and it gathers valuable data and reviews from users.
Investor's Corner
Tesla Optimus is already benefiting investors, top Wall Street firm says
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Tesla Optimus is already benefiting investors from a fiscal standpoint, at least that is what Alexander Potter at Piper Sandler, a top Wall Street firm covering the company, says.
Piper Sandler has updated its detailed valuation model for Tesla (NASDAQ: TSLA), concluding that at recent share prices around $400–$420, investors are essentially acquiring the company’s ambitious Optimus humanoid robot project at no extra cost.
Analyst Alexander Potter, in the firm’s latest “Definitive Guide to Investing in Tesla,” built a comprehensive framework covering 17 separate product lines.
This granular approach values Tesla’s core businesses—including electric vehicles, energy storage, Full Self-Driving (FSD) software, in-house insurance, Supercharging network, and a standalone robotaxi operation—at approximately $400 per share, without assigning any value to Optimus or related inference-as-a-service opportunities.
“At $400/share, we think investors can buy Optimus for ‘free,’” Potter stated in the note. Piper Sandler maintained its Overweight rating on Tesla shares and a $500 price target, which implicitly attributes roughly $100 per share to the robot-related businesses— a figure the analyst views as potentially conservative.
The updated model incorporates elements often overlooked by other sell-side analysts, such as detailed forecasts for Tesla’s insurance operations, Supercharger revenue, and a distinct valuation for the robotaxi business separate from FSD software licensing. It also accounts for Tesla’s 2025 CEO compensation plan for the first time.
Potter acknowledged that his estimates for 2026 and 2027 fall below Wall Street consensus, citing factors like declining deliveries from certain discontinued models and reduced regulatory credit income.
However, he expressed limited concern, noting that traditional vehicle delivery metrics are expected to matter less over time as FSD subscriber growth and robotaxi deployment metrics gain prominence. On Optimus specifically, Potter suggested the humanoid robot program, combined with inference services, “arguably will be worth more than Tesla’s other businesses combined,” though the firm has not yet produced formal long-term forecasts for these segments.
Tesla shares have traded near the $400 range in recent sessions, reflecting ongoing investor focus on the company’s autonomous driving progress and expansion into robotics and AI. The Optimus project remains in early development stages, with Tesla aiming to deploy the robots initially for internal factory tasks before broader commercial applications.
This Piper Sandler analysis highlights the growing emphasis among some investors and analysts on Tesla’s long-term technology platform potential beyond its current automotive and energy businesses.
As with any forward-looking valuation, outcomes will depend on execution timelines, technological breakthroughs, regulatory approvals for autonomous systems, and market adoption of humanoid robotics—areas that carry significant uncertainty and execution risk.
The note underscores a common theme in Tesla coverage: differing views on how to quantify emerging high-growth opportunities like robotics within the company’s overall enterprise value. Investors are advised to consider their own risk tolerance and conduct thorough due diligence regarding these speculative elements.
News
Tesla Giga Texas buzzing as new Cybertruck appears to enter production
Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Tesla Giga Texas is buzzing with a lot of action, as it appears the new Cybertruck trim that was offered a few months back has entered production. Additionally, the Cybercab manufacturing ramp-up is continuing amidst Tesla’s busy May, which includes a handful of things from an automotive perspective.
Drone operator Joe Tegtmeyer captured striking footage over Giga Texas on the morning of May 11, 2026, revealing fresh batches of Cybertrucks that may mark the start of series production for the long-awaited $59,990 Dual Motor AWD variant.
Tesla launches new Cybertruck trim with more features than ever for a low price
The vehicles lined up in staging areas, and we got a great look at three of the units parked on the property:
Hard to say for sure, but production of the $59K AWD @Cybertruck may be just getting started here on this early and soggy morning at Giga Texas … this version is much harder to visually distinguish from the premium AWD versions, so I’ll come back on Wednesday and we’ll see if… pic.twitter.com/UX7yCQpgeC
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) May 11, 2026
Tegtmeyer notes the difficulty in visually distinguishing this base AWD model from higher-trim versions, unlike the earlier Long-Range RWD that lacked a motorized tonneau cover.
Tesla launched the $59,990 Dual Motor AWD Cybertruck in late February 2026 with a brief introductory pricing window that closed by month’s end.
Initial U.S. delivery estimates of June 2026 quickly slipped to September–October and, for newer orders, as far as April 2027.
The move underscores robust consumer interest in a more accessible all-wheel-drive Cybertruck priced under $60,000 before incentives—positioning it as a volume play for Tesla’s electric pickup lineup while premium AWD and Cyberbeast variants continue to be sold as usual.
Meanwhile, Cybercab production at the same Austin facility shows steady, if deliberate, progress. Tegtmeyer’s latest flyover documented dozens of glossy production-spec Cybercabs parked in the outbound lot—consistent with Tesla’s early statements that initial output would remain modest before scaling later in 2026.
The purpose-built robotaxi, unveiled in 2024 and lacking a steering wheel or pedals, rolled its first unit off the line in February. Volume manufacturing began in April, with early examples already undergoing autonomous testing around the factory grounds.
Elon Musk has repeatedly emphasized that Cybercab and Semi production will start slowly before ramping “exponentially” toward year-end. The presence of multiple finished units signals Tesla’s Unboxed manufacturing process is maturing, even as the company balances Cybertruck output with autonomy milestones.
Recent drone imagery also shows ongoing construction for Optimus and test-track expansions, highlighting Giga Texas’s evolving role as Tesla’s hub for next-generation vehicles.
For Cybertruck buyers, the potential ramp of the $59K AWD offers hope of shorter waits and broader market access. For autonomy enthusiasts, the growing fleet of Cybercabs hints at robotaxi service trials on the horizon.
While official confirmation from Tesla remains pending, Tegtmeyer’s footage provides the clearest public signal yet that both programs are advancing in parallel at Giga Texas.
Tesla launches its solution to rare but relevant Supercharger problem
Tesla Optimus is already benefiting investors, top Wall Street firm says
