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GM’s Mary Barra stands by Cruise’s cautious strategy amid Tesla’s full self-driving push

(Credit: GM Cruise)

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A recent interview with GM CEO Mary Barra from Axios has provided some of the executive’s insights about full self-driving solutions, competition from Tesla, and the Detroit-based company’s strategy for the deployment of its autonomous driving tech. Barra proved conservative, emphasizing that GM will not deploy its full self-driving suite until it is safer than a human driver.

The emergence of full self-driving technologies is all but inevitable at this point, with companies such as Waymo and electric car makers such as Tesla actively pursuing the development and refinement of autonomous driving solutions. Among the industry’s players, Tesla appears to have the momentum, as the company has the largest amount of real-world driving data gathered from hundreds of thousands of vehicles currently on the road. Augmented by the rollout of Tesla’s custom self-driving computer, Elon Musk has been optimistic with the company’s full self-driving rollout plans. Musk has stated that the company’s FSD suite will be “feature complete” by the end of 2019, and that it will have around a million vehicles capable of being used as autonomous “robotaxis” next year.

When asked by the publication about the competition from Tesla and if it is essential for a company to be the first to deploy an autonomous driving system, the GM CEO response was cautious. “We want to be safe. And so that’s what’s motivating us. We understand this is life-changing technology,” Barra said, later adding that “there are so many different ways that we can improve our customers’ lives by having this technology, not only from a safety, but from a productivity (standpoint), what they can do. But what they do, we want to make sure they do safely.”

Barra’s rather conservative statements in her recent interview feature a rather different tone than her previous forecasts for GM’s full self-driving solutions. Speaking at the Dealbook conference last November, Barra stated that GM was on schedule to deploy its full self-driving technology in 2019. “We’re on track, with our rate of learning, to be able to do that next year,” she said. During her segment, Barra noted that GM had a strategy to show that its vehicles are safer than human drivers. She also mentioned that GM Cruise’s autonomous cars were already capable of running safely at around 30 mph, though the service was limited to a small area.

GM eventually softened its stance on its 2019 target release. In a statement to The Detroit News in April, GM noted that Cruise’s driverless taxi service would be “gated by safety” when it goes get deployed. A report from The Information published this June also suggested that in April, GM Cruise’s full self-driving technology experienced a massive failure in the presence of Honda Motor CEO Takahiro Hachigo, a major investor in the company. During the demo, the vehicle’s autonomous driving system reportedly stopped, forcing the car’s backup driver to take control. The vehicle then refused to reactivate, forcing the Honda CEO to wait until he was picked up by an operational GM Cruise autonomous car.

Amidst these reports, Barra did not commit to a launch date for the company’s driverless vehicle service. Nevertheless, in her Axios interview, Barra stated that she does not regret the company’s aggressive 2019 target. “It’s a rallying cry. And I think it’s been motivational,” she said.

While GM Cruise might have less real-world miles compared to Tesla and Waymo, the self-driving unit of the Detroit-based carmaker has attracted a notable number of investors nonetheless. In its latest fundraising round alone, GM Cruise was valued at $19 billion on its own. That’s quite impressive, considering the company’s progress with its technology so far. Tesla, on the other hand, is valued at $39 billion as of writing, and that covers the company’s electric vehicle and energy storage business, as well as its full self-driving technology. This was addressed in a previous note from Morgan Stanley analyst Adam Jonas, who noted that TSLA investors are “undervaluing” the company’s autonomous driving systems. “We believe investors underappreciate/undervalue Tesla’s Autonomy business. Many investors to whom we speak do not explicitly include Tesla’s Autonomy business in their valuation of the company,” Jonas said.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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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.

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.

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Autonomous vehicle red tape gets slashed by Trump Administration

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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.

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Elon Musk

Elon Musk has a crazy prediction about AI in two years

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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:

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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