This sleek Chinese EV pairs supercar styling with three AI brains


Xpeng’s latest electric vehicle carries enough processing power to make the term “smart car” actually sound more realistic than it actually is. The new Xpeng L03 debuted simultaneously in Europe and China on July 16, with the company presenting it across 65 markets. Available as a fully electric vehicle and an L03 Power X range-extender, the coupe-SUV is Xpeng’s most internationally focused model so far. Market-specific prices and sales dates remain unannounced.

Three AI chips and Google Maps built right in

The L03’s headline specification is its triple Turing AI-chip configuration, which delivers up to 2,250 TOPS of computing performance. This powers Xpeng’s next-generation NGP system, also known as VLA 2.0, which the company plans to roll out progressively in Europe beginning in 2027. Xpeng describes VLA 2.0 as a physical-world foundation model capable of interpreting complicated road environments and choosing appropriate driving responses. It remains a driver-assistance system, so motorists will still be responsible for controlling and monitoring the vehicle.

The L03 will also be the first Xpeng model to use a new partnership with Google Maps. Xpeng claims it is the first Asia-Pacific automaker to ship a vehicle using the Google Maps Auto SDK. Navigation runs directly through Xpeng’s interface, removing the need to open the Google Maps app or mirror a phone. Map data will also support NGP and the company’s more conventional XPILOT Assist system. This is similar to Rivian’s Google Maps integration, which makes navigation more convenient.

An EV with a long-distance backup plan

Xpeng will offer the L03 as a battery-electric vehicle and an extended-range model whose gasoline engine generates electricity during longer trips. Official claims state that the L03 can go up to 625km, or 388 miles, of CLTC range for the pure EV variant. Meanwhile, the Power X version has a claimed CLTC range of 1,330km, or 826 miles. This includes 315km of electric-only driving. Though the international WLTP ratings will likely be lower, no tests have been published yet.

For charging, Xpeng is promising a 19.1-minute downtime to charge from 10% to 80%. The car was developed under former Ferrari exterior design chief JuanMa Lopez. Its wide stance, sloping roof, frameless doors, and 0.228 drag coefficient give it a sportier profile than the average family crossover. You also get a large 15.6-inch display, sweeping ambient lighting, and 37 storage areas alongside generous cargo space.

Xpeng opened Chinese preorders earlier in July at 143,800 yuan, approximately $21,200, although that price offers little guidance for Europe and other export markets.



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Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



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