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Your Tesla will become a humanless chauffeur, summoned via app
Your Tesla eases its way through the choked streets of Los Angeles and climbs the Sierra Nevada. It glitters with the lights of Las Vegas before continuing over to Yellowstone National Park, where the geysers blow and the buffalo stare from roadsides. Meandering through the Badlands and by Mount Rushmore, it pushes upward in elevation into the Rockies and then down to Denver. After the Tesla powers past the Midwest’s cornfields, it propels its way through Chicago’s multiple highway lanes, wedged between tractor trailers. In the final leg of the trip, the Tesla dips and zips through Pennsylvania’s rolling hills and maneuvers through the congested streets of Times Square, parking itself.
These Northern route stats: 3,241 miles in 54 hours, and your Tesla did all the driving for you. It was capable of seeing through heavy rain, fog, dust, and two cars ahead.
That’s the vision, or Tesla Vision, rather, of the not-so-distant future as announced by Tesla CEO Elon Musk during a press conference call on Wednesday, October 19. Outlining a future of self-driving cars, Musk set a goal for Tesla to make a fully autonomous road trip from Los Angeles to New York by the end of 2017. The trip would occur “without the need for a single touch” from the driver, including recharging the car’s battery. Owners would be able to Summon their vehicle, through a press of a button on an app, and the car would drive itself to wherever they are and pick them up – even if it’s across the country. The vehicle would charge on its own along the way without human intervention using something similar to the Snakebot that Tesla revealed last year.
“Our goal— I feel pretty good about this goal — we’ll be able to do a demonstration drive of full autonomy all the way from LA to New York. So basically from a home in LA to, let’s say. dropping you off in Times Square, in New York, having the car park itself by next year. Without the need for a single touch, including the charger.”, says Musk.
When you want your car to return, tap Summon on your phone. It will eventually find you even if you are on the other side of the country
— Elon Musk (@elonmusk) October 20, 2016
This Level 5 “full self-driving or driverless capacity” will now be available on the 2,000 cars a week that Tesla is currently manufacturing. That means the Tesla Model S and Model X vehicles in production as well as the upcoming Model 3 will have what Musk terms “Hardware 2,” which allows for full self-driving capability at “a safety level substantially greater than that of a human driver,” according to Musk. The hardware includes:
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- 8 surround cameras which provide 360 degree visibility around the car at up to 250 meters of range;
- 12 updated ultrasonic sensors that allow detection of both hard and soft objects at nearly twice the distance of the prior system; and,
- a forward-facing radar with enhanced processing that provides additional data on a redundant wavelength.
The system, which has been more than a year in testing, will see continual software updates as the system learns through data collected from ‘Shadow Mode’ and self-driving algorithms are refined. Musk said that it would be some time before Tesla’s software would advance to meet capabilities of Hardware 2, so it will be disabled until it “reaches parity following full validation with Hardware 1, probably in December.” Updates are likely to occur every 2-3 months thereafter. Nonetheless, and in lieu of required regulatory approval, Musk claims that the safety level of this autonomous driving will be at least twice that of a human, or better.
Tesla’s current Autopilot system has been replaced with a newer generation ‘Enhanced Autopilot’ that will leverage the new suite of sensors to provide more precise lane keeping, lane changes without driver input, the ability to exit freeways, and an overall smoother and safer experience. Enhanced Autopilot and the Fully Self-Driving Capability, autonomous mode, is being made available through Tesla’s Model S and Model X Design Studio as optional upgrades.
Elon Musk
Tesla AI boss reveals how big Optimus is going to get
Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.
![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner.jpg)
Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”
The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.
The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
Tesla Optimus project fires up as Musk sees production line progress
Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.
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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.
The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
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The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
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![Tesla Optimus Gen 3 [Credit: Tesla]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-optimus-gen3-diner-80x80.jpg)
Tesla AI boss reveals how big Optimus is going to get
Autonomous vehicle red tape gets slashed by Trump Administration
