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Tuesday started with an early iPad event. And what a terrible iPad I got! Apple has shaken things up by putting its latest M4 chip in its new top-of-the-line iPad Pro. According to Apple, this new device will deliver 50% faster performance than his M2 iPad Pro. It supports dynamic caching, hardware-accelerated ray tracing, and hardware-accelerated mesh shading to make your games look better and speed up graphics processing.
But that’s only half the story. Another major upgrade is Tandem OLED, which displays two OLED panels stacked on top of each other. You can expect richer colors and deeper blacks, but you can also expect brightness levels of up to 1000 nits in standard and HDR, and 1600 nits in the brightest spot in HDR. This switch in display technology makes it thinner than previous iPads. In fact, this makes the new iPad pro (somehow) thinner than the iPod nano.
The new iPad Pros start at $999 for the 11-inch model and $1,299 for the 13-inch model, each with 256GB of storage. First impressions have already been made here.
For professional doodlers, we also have the new iPad Air and Apple Pencil Pro.
— Matt Smith
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Flagship AI and 120Hz OLED screen.
The latest Pixel A series smartphones are usually announced at Google I/O. But to avoid distraction from all the other news, Google broke cover early. Compared to the standard Pixel 8, which has a 6.2-inch screen, the 8a has a slightly smaller 6.1-inch OLED display with noticeably larger bezels. But other than that, the Pixel 8 and 8a are about the same size. The 8a uses the same 64-megapixel and 13MP sensors as its predecessor for the main and ultra-wide cameras, but the Pixel 7a was a great camera phone, so there’s no big complaint here. Sales will start from May 14th next week.
Keep reading.
Until someone messes with the image.
OpenAI is trying to get ahead of the problem of these near-authentic images circulating on the internet by creating a toolset that detects images created by its proprietary DALL-E 3 generator. The company states that it can accurately detect images created by DALL-E 3 with a 98% probability. That sounds good, but there are a lot of caveats. This image had to be created by his DALL-E, which could only classify 5-10 percent of the images created by other AI models. I also have a hard time finding generated images that have been manually adjusted by the user.
Keep reading.
It’s time for a name change.
Wait, what?