We started our Tuesday with an early iPad event. And what a horrible iPad we got. Apple has made a splash by including its brand new M4 chip in its new top-of-the-range iPad Pro. According to Apple, the new device delivers 50 percent faster performance than the M2 iPad Pro. It supports dynamic caching, hardware-accelerated ray tracing, and hardware-accelerated mesh shading – meaning better-looking games and faster graphics processing.
But that is only half the truth. The other big upgrade is Tandem OLED, a display made up of two OLED panels stacked on top of each other. Expect richer colors and deeper blacks, but also brightness levels that top out at 1000 nits for standard and HDR and 1600 nits for the brightest parts of HDR. This change in display technology makes it thinner than previous iPads. In fact, it makes the new iPad Pro (somehow) thinner than the iPod nano.
The new iPad Pro starts at $999 for the 11-inch model and $1,299 for the 13-inch model, each with 256GB of storage. And we already have our first impressions here.
We also have new iPad Airs and an Apple Pencil Pro for you professional writers.
– Mat Smith
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Flagship AI and a 120Hz OLED screen.
The latest Pixel A series phone is usually announced at Google I/O. However, in order not to be distracted by all the other news, Google gave up the disguise 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 significantly larger bezels. Apart from that, the Pixel 8 and 8a are almost the same size. The 8a uses the same 64-megapixel and 13MP sensors for its main and ultra-wide cameras as its predecessor, but the Pixel 7a was a great camera phone, so there are no major complaints here. Sales begin next week on May 14th.
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Until someone messes with the pictures.
OpenAI is trying to get ahead of the problem of spreading these almost real images across the Internet by developing a toolset that recognizes images created by its own DALL-E 3 generator. The company says it can accurately recognize images created by DALL-E 3 98 percent of the time. While that sounds good, it is full of caveats. The image must be created by DALL-E and only five to ten percent of images created by other AI models have been successfully classified. It is also difficult to detect generated images that have been manually optimized by a user.
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Time for a name change.
Wait what?