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Samsung announced its latest foldable smartphones last week, and the lineup included the Galaxy Z Fold8, a device that's close to what we're expecting Apple's foldable "iPhone Ultra" to look like when it comes out later this year. MacRumors videographer Dan Barbera has been testing Samsung's new foldable, and the wider 4:3 display bodes well for the ?iPhone Ultra?.
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 Google today updated Gemini for Mac to add a new quick keyboard shortcut that activates voice mode. By long-pressing the Fn key, users can speak naturally to Gemini from any window on their desktop machine.
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 Apple retired the iPhone Upgrade Program in favor of a new Apple Upgrade leasing option made available in partnership with Klarna. Apple Upgrade gives customers an option to get iPhones, iPads, Macs, and Apple Watches at cheaper prices than before, but there are some things worth knowing about it.
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The 19th-century French novelist Honore de Balzac is believed to have said that behind every great fortune lies a great crime.
That's even more true today than it was 200 years ago — just look at how Big AI, including Anthropic, OpenAI, Google, and others have built their trillion-dollar fortunes.
They all use vast amounts of copyrighted material to train their large language models (LLMs) without paying the copyright holders. In other words, they steal it. They don't call it stealing, though. They call it "fair use," which in this case amounts to the same thing.
Generative AI (genAI) training requires massive amounts of text. The better-written and more information-dense that text is, the more it helps. AI gets a lot smarter a lot faster when it's trained on well-written books and magazine and newspaper articles than when it's trained on social media banter (or most everything else you find on the internet).
Since the dawn of AI, companies have been hoovering up copyrighted material wherever they find it — on the open web, behind paywalls, even in manually scanned books — and then used the scanned text. And they do it all without asking authors' or publishers' permissions, and without paying them.
It's the greatest intellectual property theft in history by a long shot — billions and b
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But as some reviewers have noted, the boosts from DLSS aren't always as impressive in real life as they are in marketing materials. And it's often less powerful systems—like gaming laptops—that see the most modest benefits. So, I decided to test it out myself.
Here are my Nvidia DLSS 4 results on a gaming laptop. Keep reading for the exact laptop I used and the various gains (or lack thereof) I saw in a handful of different high-profile games.
The laptop I used for these tests
When Nvidia boasted about the awe-inspiring eight-fold improvement in Cyberpunk 2077 performance, those tests were done under ideal conditions. According to the fine print, it was achieved on a PC with an RTX 5090 at 4K resolutions with all the graphical bells and whistles turned on, and in DLSS performance mode.
But that's far from your typical gaming PC. Most modern gaming PCs are budget laptops—like the Lenovo LO
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