Skip to main content
  1. Home
  2. Computing
  3. Legacy Archives

AOC says its new display tech is a lot less damaging to your eyes

Add as a preferred source on Google

Display maker AOC says that it is starting to roll out new screen tech dubbed Anti-Blue Light technology, which aims to guard your eyes against blue light that’s emitted from LED-backlight PC monitors.

AOC claims that overexposure to blue light from these screens could lead to vision damage in the long run. Their new tech adjusts the LED backlight to cut down shortwave blue light, which is the harmful type, by over 90 percent.

Recommended Videos

Related: DisplayPort 1.3 standard announced, supports 5K monitors

While there are other methods to do this, which employ filters and software-centric corrections, AOC’s Anti-Blue Light tech slashes the amount of shortwave blue light without dimming or altering colors, it claims.

According to AOC, studies indicate that long-term exposure to blue light from LED backlights could lead to what’s called “macular degeneration,” or AMD. This, AOC says, could result in a permanent loss of vision in the middle of the eye as a result of retina damage.

Related: Philips reveals 28-inch 4K monitor for $600

“The prevalence of AMD is expected to rise 6.3 million by the year 2030,” Dr. Carl Kupfer, former Director of the US National Eye Institute says. “Macular degeneration will soon take on aspects of an epidemic.”

If true, that’s quite scary. We’ll reach out to an eye health professional to get their take.

AOC says that its Anti-Blue Light tech will be baked into with its 76V Series Anti-Blue Light monitors.

Konrad Krawczyk
Former Computing Editor
Konrad covers desktops, laptops, tablets, sports tech and subjects in between for Digital Trends. Prior to joining DT, he…
DigUp lets users find Mac files by describing them, not remembering their names
Can't remember where that screenshot, PDF or recording went? Just describe it and let AI do the digging.
DigUp App in Use screenshot

There's a particular kind of frustration that comes with knowing a file exists somewhere on a computer but having absolutely no idea what it's called. Was that screenshot saved as IMG_4837? Which PDF contained that clause? And where did that podcast recording mention the thing worth remembering? DigUp wants to end the filename guessing game, letting Mac users search for files by describing what they remember instead. The free, open-source app uses Google's EmbeddingGemma 2 to search across photos, documents, PDFs, audio recordings and videos, all without sending personal files to the cloud.

DigUp turns everyday descriptions into file searches

Read more
A new AI detector looks beyond words to check whether the ideas came from AI
This could help journals distinguish AI-written research from human work polished with AI.
ai-writing-book

Most AI detectors look for telltale signs of AI-generated text by examining word and sentence patterns. A new tool called IdeaLens takes a different route to solving this problem. It spots AI-generated research by looking at the ideas behind it instead of the wording itself (via TechXplore).

Researchers from the University of Maryland, Google DeepMind, and Simon Fraser University built IdeaLens to check whether a document's core arguments came from a human or a machine, regardless of who wrote the final draft.

Read more
Anthropic warns of imminent self-replicating AI that might even work off an oven or TV
Self-replicating AI could be merely months away, and tests show it can run on the devices sitting at your home.
Illustration of dangerous AI.

Over the past few weeks, nearly every AI lab has released frontier AI models. Earlier today, Google started rolling out Gemini 4, Argon, hot on the heels of Meta announcing its Muse Wonder frontier AI models to compete against the best from OpenAI and Anthropic's Claude. This relentless pace of AI model release comes at a time when the same AI labs are calling for development slowdown and increased regulation, following a series of concerning incidents where these AI models went rogue and broke into private, as well as government-owned, websites.

Now, Anthropic has dropped a chilling set of predictions about the capabilities of these AI models after running a series of tests. The company claims that small AI models could be merely a few months away from self-replicating and turning into a dangerous swarm. More importantly, they won't require a massive data center or an uber-powerful computer to do so. On the contrary, the lab claims that these self-replicating AI swarms will need something with as little computing power as an average Internet-connected device, like a smart oven or an Android TV box.

Read more