XREAL’s $299 AR glasses are finally here, and they could be a great travel companion


XREAL announced its lower-cost xbx sub-brand earlier this year, and its first product is now available in the U.S. The xbx a01+ costs $299 through XREAL’s online store, putting it below the company’s more expensive AR glasses.

The a01+ is mainly built for watching videos, playing games, or using a laptop on a large virtual screen. It connects to compatible phones, handheld consoles, and computers over USB-C, so it works more like a wearable display than a standalone headset.

What does the a01+ actually offer?

The glasses use dual-layer Micro-OLED displays running at up to 120Hz, along with HDR10 support and peak brightness of 1,600 nits. XREAL says the 50-degree field of view produces an image comparable to a 147-inch screen viewed from four metres away.

They weigh 62 grams, partly because there is no built-in camera or battery. Rather, it borrows power from a companion device you choose to hook it to, like an iPhone. XREAL has also included software-based image stabilisation to keep the picture steadier during flights, train journeys, and other movement. The interchangeable front frames add some visual customisation, and users can also create their own accessories through 3D printing. Audio comes through built-in speakers with separate modes for movies, spatial sound, lower leakage, and general listening.

Who are these glasses for?

The a01+ makes the most sense for commuters, frequent flyers, handheld gamers, and anyone who wants a private display without carrying a monitor. It does not include native 3DoF tracking, so the virtual screen cannot be positioned as freely as it can on some higher-end models

For $299, those compromises are expected. The a01+ is now available from XREAL’s U.S. store, which lists free shipping on orders over $100, a 30-day return window, and a one-year warranty.



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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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