|
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?.
|
|
Google's pushing a more hands-off experience with its latest Gemini for Mac release.
|
|
 Amazon still has the AirPods Pro 3 available for $199.99, down from $249.00. This is the best price we've seen on the AirPods Pro 3 since Prime Day ended last month, coming in around $20 higher when compared to that all-time low price.
|
|
Claude Mythos Preview discovered new attacks in testing against weakened cryptographic algorithms, which protect online financial transactions, private communications and more.
|
RELATED ARTICLES | | |
|
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
|
|
Nvidia is investing a reported $5 billion in Ilya Sutskever's SSI and providing Vera Rubin systems for a tenfold increase in AI compute.
|
|
Hugging Face CEO Clem Delangue wants to see radical transparency from OpenAI after the company acknowledged that one of its AI agents managed to hack into the AI platform's systems during a test.
In a post on X, Delangue wrote that, among other things, he wants OpenAI to publish logs and traces from the autonomous AI agent so researchers can analyze what happened. He also called for better defensive tools and urged OpenAI to allocate $100 million worth of computing capacity to help the Hugging Face community develop stronger cybersecurity solutions.
"The first cyberattack by an autonomous AI agent is an unprecedented event. It deserves an unprecedented response," Delangue wrote.
|
|
 Anthropic has updated Claude's voice mode to support its more powerful Opus and Sonnet models, expanding a feature that was previously limited to the company's fastest-but-simplest model, Haiku.
|
|
AI PROBLEMS Tane Piper: The Reports of Jim Carrey's Death are a Failure Mode. "On the 29th June 2026 - if you searched for Jim Carrey on Google, you would have been […]
|
|
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
|
|
