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Hyundai unveils next-gen Kona EV, but leaves much to the imagination

Credit: Hyundai

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Hyundai has unveiled its new second-generation Kona vehicle, including the Kona EV, hybrid, and ICE variants.

The Hyundai Kona and the Chevy Bolt have become a go-to vehicles for those looking for their first EV. The Kona’s entry-level price point and impressive specs for the money have attracted numerous buyers. It’s clear Hyundai is hoping for a similar reaction to the next-generation Kona EV it released yesterday.

The second generation of the Kona EV brings iterative technical changes and a refreshed design to the flexible platform, which still allows customers to choose from an ICE, EV, or hybrid version.

Hyundai’s new Kona EV is the star of the show, and the Korean automaker made that clear, stating that this was the first time the Kona had been designed for electrification first, with the ability to add a gas engine designed second.

The second generation Kona EV comes with a max range of 304 miles from its Long-Range 65.4kWh battery, though a smaller Standard-Range battery is also available with a capacity of 48.4kWh. Hyundai didn’t specify the range of the smaller battery, but assuming a similar efficiency as the Long-Range battery, it should have roughly 225 miles of range.

With the Long-Range battery, customers also receive a more powerful motor, providing an ample 217 horsepower and 188 pound-feet of torque to the front wheels. The Standard-Range battery has a less powerful 156 horsepower and 188 pound-feet of torque motor.

While the vehicle’s power is only bumped slightly compared to the previous generation, the added ~50 miles of max range is undoubtedly a welcome addition to the platform.

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With DC fast charging, the new Hyundai Kona EV will charge from 10-80% in 41 minutes. Hyundai didn’t specify if the charging time differed between the battery options. Sadly, neither vehicle is equipped with Hyundai’s phenomenal 800-volt architecture, which means the Kona EV’s charging time is essentially unchanged from the previous generation.

The more apparent upgrades coming to the new Kona are in design. Not only does the Kona receive the same angular design found on many of Hyundai’s larger SUV offerings, but it becomes slightly larger than the previous generation. Hyundai states that this change was made to provide the maximum interior space to occupants while retaining the vehicle’s mid-size categorization.

The Korean automaker also provides the Kona EV with a laundry list of features, making it a far more useful vehicle in numerous situations. Its most sought-after feature is likely its vehicle-to-load technology, allowing customers to plug in everything from a mini-fridge to a TV. Besides that, Hyundai also includes OTA updates with the vehicle, allowing it to improve consistently throughout its ownership.

But with all these details released, Hyundai left out the most important, the Kona EV’s price.

Hyundai sadly no longer qualifies for federal EV incentives in the United States that could dramatically lower the price of the vehicle for many consumers. And with the Tesla Model 3 and Chevy Bolt cheaper than ever, both of which qualify for federal incentives, Hyundai may be in somewhat of a challenging situation.

Currently, the Hyundai Kona EV is listed for $33,550, roughly $13,000 more expensive than the Chevy Bolt with federal incentives, and only $2,000 cheaper than the base Tesla Model 3 with incentives.

Hyundai undoubtedly faces an uphill battle considering its lack of federal incentives. However, considering its success at attracting customers to its IONIQ Platform, the company still has a great shot of luring buyers nonetheless. Despite this hurdle, the automaker can hopefully still help more consumers electrify with its newest models.

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What do you think of the article? Do you have any comments, questions, or concerns? Shoot me an email at william@teslarati.com. You can also reach me on Twitter @WilliamWritin. If you have news tips, email us at tips@teslarati.com!

Will is an auto enthusiast, a gear head, and an EV enthusiast above all. From racing, to industry data, to the most advanced EV tech on earth, he now covers it at Teslarati.

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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

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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