Connect with us

News

Tesla’s Full Self-Driving faces a new hurdle in UK rollout plans

New restrictions could slow the rollout of Tesla’s FSD in the UK.

Published

on

Tesla has been working to start deploying its Supervised Full Self-Driving (FSD) system outside of North America, though as the first waves of the software go out in China and Mexico, regulatory holdups in the United Kingdom (UK) and elsewhere are proving tough to overcome.

The UK’s Department for Transport (DfT) has proposed rules paring back allowances for autonomous driving systems such as Tesla’s Supervised FSD, according to documents seen by Telegraph in a report over the weekend. The delays echo previous statements from Tesla officials highlighting that the system may not be able to roll out in full in Europe until 2028, after recent regulation changes have slowed the deployment of certain automated capabilities.

Although the department’s original draft of safety rules related to self-driving systems allowed vehicles to perform maneuvers such as stopping and starting at traffic lights, turning at intersections, and changing lanes, all while drivers were hands-free, a new draft has diluted these functions to only allow “highway” maneuvers, such as lane changes, while also requiring drivers to keep their hands on the steering wheel.

“Whilst [a driver assistance system] may help in reducing collisions, it may also introduce new safety risks,” said a group of UK officials who helped propose the added restrictions in September.

The group has also suggested that systems like Tesla’s FSD Supervised should be rolled out “in phases,” echoing that safety concerns should be closely evaluated amidst deployment.

“The technological advancements in these systems are promising, but there remain concerns about their impact on driver behaviour, situational awareness and overall safety.”

The changes also come after concerns about deploying automated driving systems were raised in the United Nations Economic Commission for Europe (UNECE) last year, with the UK’s DfT officials speaking out then about concerns for broader approval of the technology.

Advertisement
-
-

READ MORE ON TESLA FSD’S MARKET ROLLOUT: Tesla used this clever workaround to train FSD for China’s roads

Tesla’s launch of FSD Supervised in Europe, elsewhere: what’s causing delays?

Tesla recently launched early FSD-related features in China and Mexico, and the news comes as the company has continued to face tough regulatory barriers to launching the software in markets across Europe and the UK.

As part of his resignation announcement in October, Tesla’s former Global Vehicle Automation and Safety Policy Lead Marc Van Impe warned of major barriers in Europe due to the UN Regulation 171, dubbed DCAS, which could delay the deployment of FSD until 2028.

“This impacts Europe’s competitiveness and it’s clear that the type-approval framework needs to evolve to better and more quickly tackle innovative technologies,” Van Impe said of the delay. “Perhaps temporary certification or deployment through pre-certification can prove a solution.”

Advertisement
-
-

Despite this, Tesla went on to launch an introductory version of Actually Smart Summon in Europe and the Middle East in November, after the highly-anticipated software had previously been lumped in with an FSD Supervised update in North America.

During Tesla’s Q4 2024 earnings call in January, CEO Elon Musk also highlighted European regulations as a major barrier to getting FSD approved. He also highlighted an upcoming European Union (EU) committee session in May, which he said is expected to approve the software.

Tesla employees are performing autonomous FSD trials, CEO Elon Musk says

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Advertisement
Comments

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.

Published

on

By

Tesla Optimus Gen 3 [Credit: Tesla]

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.

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.

Advertisement
-
-

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.

Continue Reading

News

Autonomous vehicle red tape gets slashed by Trump Administration

Published

on

Credit: Zoox

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:

  1. 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.
  2. 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.
  3. 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.
  4. 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).
  5. 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.

Continue Reading

Elon Musk

Elon Musk has a crazy prediction about AI in two years

Published

on

Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

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.

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:

Advertisement
-
-

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.

Advertisement
-
-
Continue Reading