Elon Musk’s cautionary statements about uncontrolled experimentation with artificial intelligence (AI) have caused some to ridicule him as a fear-monger, and have given many in the mainstream press the idea that he is opposed to using AI, which is very far from the truth. In fact, AI is a major component of Tesla’s Autopilot system, and the company applies it in several other areas as well.
It was only recently that Tesla publicly revealed that it is working on its own AI hardware. At the NIPS machine learning conference in December, Elon Musk announced that Tesla is “developing specialized AI hardware that we think will be the best in the world.” The company has offered few details, but it’s widely assumed that the main application will be processing the algorithms for Tesla’s Autopilot software.
As Bernard Marr reports in a recent article in Forbes, there’s little doubt that Tesla is way ahead of its potential rivals in the data-gathering department. Every Model S and X built with the Autopilot hardware suite, which was introduced in September 2014, has the potential to become self-driving, and all Tesla vehicles, Autopilot-enabled or not, continually gather data and send it to the cloud. The company has many more sensors on the roads than any of its Detroit or Silicon Valley rivals, and the number will mushroom when Model 3 production hits its stride.
Tesla is crowd-sourcing data not only from its vehicles, but could one day obtain data on its drivers through internal cameras that detect hand placement on instruments or a person’s state of alertness. The company uses the information not only to improve Autopilot by generating data-dense maps, but also to diagnose driving behavior. Many believe that this sort of data will prove to be a valuable commodity that could be sold to third parties (much as data on web-browsing habits is today). McKinsey and Company has estimated that the market for vehicle-gathered data could be worth $750 billion a year by 2030.
Forbes explains that the AI built into Tesla’s system operates at several levels. Machine learning in the cloud educates the entire fleet, while within each individual vehicle, “edge computing” can make decisions about actions a car needs to take immediately. There’s also a third level of decision-making, in which cars can form networks with other Tesla vehicles nearby in order to share local information. In the future, when there are lots of autonomous cars on the road, these networks could also interface with cars from other makers, and systems such as traffic cameras, road-based sensors, and mobile phones.
At this point, no one knows what new forms of AI technology the mad scientists in Palo Alto are cooking up, but Forbes found some clues on the Facebook page of Tesla’s hardware partner Nvidia: “In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the car learns on its own to create all necessary internal representations necessary to steer, simply by observing human drivers.”
This unsupervised learning model contrasts with the more familiar approach of supervised learning, in which algorithms are trained beforehand about right or wrong decisions. Each approach has its pros and cons, and it’s likely that Tesla’s strategy includes both.
Forbes reports that Tesla’s use of AI is not limited to Autopilot – the company employs machine learning in the design and manufacturing processes, to process customer data, and even to scan the text in online forums for insights into commonly-reported problems. It’s ironic that some in the press choose to portray Elon Musk as an AI Luddite, when in fact Tesla may be one of the most sophisticated users of the technology.
===
Note: Article originally published on evannex.com, by Charles Morris
Source: Forbes
News
Tesla Model S and X customization options begin to thin as their closure nears
Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.
Tesla Model S and Model X customization options are beginning to thin for the first time as the closure of the two “sentimental” vehicles nears.
We are officially seeing the first options disappear as Tesla begins to work toward ending production of the two cars and the options that are available to those vehicles specifically.
Tesla’s Online Design Studio for both vehicles now shows the first color option to be listed as “Sold Out,” as Lunar Silver is officially no longer available for the Model S or Model X. This color is exclusive to these cars and not available on the Model S or Model X.
🚨 Tesla Model S and Model X availability is thinning, as Tesla has officially shown that the Lunar Silver color option on both vehicles is officially sold out
To be fair, Frost Blue is still available so no need to freak out pic.twitter.com/YnwsDbsFOv
— TESLARATI (@Teslarati) February 25, 2026
Tesla is making way for the Optimus humanoid robot project at the Fremont Factory, where the Model S and Model X are produced. The two cars are low-volume models and do not contribute more than a few percent to Tesla’s yearly delivery figures.
With CEO Elon Musk confirming that the Model S and Model X would officially be phased out at the end of the quarter, some of the options are being thinned out.
This is an expected move considering Tesla’s plans for the two vehicles, as it will make for an easier process of transitioning that portion of the Fremont plant to cater to Optimus manufacturing. Additionally, this is likely one of the least popular colors, and Tesla is choosing to only keep around what it is seeing routine demand for.
During the Q4 Earnings Call in January, Musk confirmed the end of the Model S and Model X:
“It is time to bring the Model S and Model X programs to an end with an honorable discharge. It is time to bring the S/X programs to an end. It’s part of our overall shift to an autonomous future.”
Fremont will now build one million Optimus units per year as production is ramped.
News
Tesla Cybertruck Dual Motor AWD estimated delivery slips to early fall 2026
Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.
Tesla’s estimated delivery window for new Cybertruck Dual Motor All-Wheel Drive (AWD) orders in the United States has shifted to September–October 2026. This suggests that the vehicle’s sub-$60,000 variant is now effectively sold out until then.
The updated timeline was highlighted in a post on X by Tesla watcher Sawyer Merritt, who noted that the estimated delivery window had moved from June 2026 to September-October 2026, “presumably due to strong demand.”
The Dual Motor AWD currently starts at $59,990 before incentives. Tesla has also added a note on the Cybertruck design page stating that the vehicle’s price will increase after February 28.
If demand remains steady, the combination of a later delivery window and a pending price increase suggests Tesla is seeing sustained interest in the newly-introduced Cybertruck configuration. This was highlighted by Elon Musk on X, when he noted that the Cybertruck Dual Motor AWD’s introductory price will only be available for a limited time.
When the Cybertruck was first unveiled in November 2019, Tesla listed the Dual Motor AWD variant at $49,990. Adjusted for inflation, that figure equates to roughly $63,000 in 2026 dollars, based on cumulative U.S. inflation since 2019.
That context makes a potential post-February price in the $64,000 to $65,000 range less surprising, especially as material, labor, and manufacturing costs have shifted significantly over the past several years.
While Tesla has not announced a specific new MSRP, the updated delivery timeline and pricing note together suggest that the Cybertruck Dual Motor AWD could very well be the variant that takes the all-electric full-sized pickup truck to more widespread adoption.
Elon Musk
SpaceX targets 150Mbps per user for upgraded Starlink Direct-to-Cell
If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.
SpaceX is targeting peak download speeds of 150Mbps per user for its next-generation Direct-to-Cell Starlink service. The update was shared by SpaceX Spectrum & Regulatory Affairs Lead Udrivolf Pica during the International Telecommunication Union’s Space Connect conference.
“We are aiming at peak speeds of 150Mbps per user,” Pica said during the conference. “So something incredible if you think about the link budgets from space to the mobile phone.”
If achieved, the 150Mbps goal would represent a significant jump from the current performance of Starlink Direct-to-Cell.
Today, SpaceX’s cellular Starlink service, offered in partnership with T-Mobile under the T-Satellite brand, provides speeds of roughly 4Mbps per user. The service is designed primarily for texts, low-resolution video calls, and select apps in locations that traditionally have no cellular service.
By comparison, Ookla data shows median 5G download speeds of approximately 309Mbps for T-Mobile and 172Mbps for AT&T in the United States, as noted in a PCMag report. While 150Mbps would still trail the fastest terrestrial 5G networks, it would place satellite-to-phone broadband much closer to conventional carrier performance, even in remote areas.
Pica indicated that the upgraded system would support “video, voice, and data services, clearly,” moving beyond emergency connectivity and basic messaging use cases.
To reach that target, SpaceX plans to upgrade its existing Starlink Direct-to-Cell satellites and add significant new capacity. The company recently acquired access to radio spectrum from EchoStar, which Pica described as key to expanding throughput.
“More spectrum means a bigger pipeline, and this means that we can expand what we can do with partners. We can expand the quality of service. And again, we can do cellular broadband basically, cellular broadband use cases, like AI or daily connectivity needs,” he stated.
SpaceX has also requested regulatory approval to deploy 15,000 additional Direct-to-Cell satellites, beyond the roughly 650 currently supporting the system. The upgraded architecture is expected to begin rolling out in late 2027.
