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Tesla Model 3 wins Detroit News’ 2018 Car of the Year award: ‘It is Apple on wheels’

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It appears that Elon Musk was right to bet the future of Tesla on the Model 3. Since the electric car started getting delivered to its long list of reservation holders, the vehicle has won the hearts of EV enthusiasts and old-school gearheads alike. A member of the latter group is Henry Payne of The Detroit News, who previously noted in an appearance at Autoline TV that he purchased a Long Range RWD Model 3 simply because there is no other vehicle like it on the road.

Payne is a true-blooded car enthusiast. Apart from being a 30-year veteran of the news industry, Payne is also an avid racecar driver and a professional automotive critic. He is also the farthest from being a stereotypical EV buyer, openly admitting that he’s not a “greenie” and that he is not a global warming believer. That said, if there is one thing that Payne knows, it is cars — how they work, and how good they are.

As it turns out, Tesla’s midsize sedan ended up impressing the automotive veteran. So impressed was Payne with his Tesla Model 3 that in a recent column, he actually selected the electric sedan as The Detroit News2018 Car of the Year. That’s right. An electric car — a rather tame version of the vehicle at that — convinced a lifelong gearhead that it was arguably the best vehicle available in the United States this year.

Payne noted that Tesla made history in 2018, becoming the first viable startup automaker he encountered in his lifetime. Elaborating on the Model 3, Payne noted that the vehicle has remained competitive in the auto industry despite being a sedan in a market that loves larger vehicles like SUVs. The automotive veteran further pointed out that Tesla was able to achieve all of this despite the constant barrage of skepticism from the company’s critics, Elon Musk’s Twitter missteps, and the company’s manufacturing errors such as over-automating the Model 3 line.

Ultimately, though, Payne stated that the Model 3 is exceptional simply because it reimagines what a car could be like. And it was able to do so without compromising on performance.

“The $55,000 Model 3 succeeds because it is Apple on wheels. Musk re-imagined the car like Steve Jobs re-thought the phone — as a study in design minimalism that is both gorgeous and more efficient than established platforms. Privately, other automaker execs tell me they admire Tesla for innovations that are pushing the industry forward: over-the-air updates, better connectivity, better user interfaces.”

“As different as the Tesla’s operating system is, it sacrifices little in performance to segment athletes like BMW and Alfa. Despite its inherent weight disadvantage, the porky 80.5-kWh battery is integrated to the chassis low in the car, making for good vehicle dynamics.”

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What’s particularly noteworthy is that Payne dubbed the Model 3 as the 2018 Car of the Year despite having what appears to be outdated information about the vehicle. For one, he referenced a track test from Motor Trend‘s Randy Pobst, stating that the Model 3 Performance was just a second slower than the Alfa Romeo Quadrifoglio. That particular test mentioned by The Detroit News veteran involved the pre-release version of the Model 3 Performance’s Track Mode. Tesla actually collaborated with Pobst to fine-tune the “release version” of Track Mode after the vehicle’s loss to the Alfa in the initial test. With the release version of Track Mode, the Model 3 Performance soundly beat the Alfa Romeo Quadrifoglio’s time.

Ultimately, though, the auto veteran noted that the Model 3’s combination of driving dynamics and software integration makes the electric car a remarkable vehicle overall.

“A showcase for autonomous features like summon and automatic lane-change, the high-tech Model 3 reaffirms the joy of driving,” Payne concluded. 

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.

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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.

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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 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:

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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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