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Intel is selling off its majority share in chip-maker Altera as part of its new CEO’s first steps toward stabilizing the company. The 51 percent stake sold today for $4.46 billion in a deal that is expected to close in the second half of this year. “Today’s announcement reflects our commitment to sharpening our focus, lowering our expense structure and strengthening our balance sheet,” CEO Lip-Bu Tan said of the sale.

Altera makes field programmable gate array chips, which are often used to power retro gaming hardware such as the Analogue consoles. The company’s other products have applications ranging from military to telecom sectors. Intel acquired Altera in 2015 for a hefty $16.7 billion, which means its current valuation has taken quite a dive since that purchase. However the sale should still provide some cash flow to Intel at a critical juncture.

Tan was appointed Intel’s CEO in March, following the departure of Pat Gelsinger as the company’s top exec. He is expected to help change course for the company following a long string of poor decisions, and from the start of his appointment, it seemed likely that Intel would see some streamlining of its business.

This article originally appeared on Engadget at https://www.engadget.com/big-tech/intel-is-selling-off-a-majority-stake-in-chip-maker-altera-for-446-billion-205015269.html?src=rss 

In a decision almost certainly informed by the recent tariff chaos, NVIDIA is going to start making some of its AI chips and supercomputers in the US. The company announced that it’s building and testing its Blackwell chips in Arizona and it plans to manufacture its AI supercomputers — presumably the recently announced DGX Spark and DGX Station — in Texas.

NVIDIA says TSMC is already making Blackwell chips in Phoenix, Arizona and the company is partnering with Amkor and SPIL for testing and packaging. In Texas, the company’s supercomputers will be made by Foxconn in Houston and Wistron in Dallas. “Mass production at both plants is expected to ramp up in the next 12-15 months,” NVIDIA says.

It’s not entirely clear which version of NVIDIA’s Blackwell chips TSMC will actually be building, but the chip maker plans to be equipped to handle a wide variety of manufacturing for US tech companies, including Apple and Qualcomm. TSMC received $6.6 billion in funding from the CHIPS Act under the Biden administration and committed to spending an additional $100 billion to expand its US operations in March.

NVIDIA has benefitted most directly from the current AI boom, and stood to be harshly impacted by the latest round of tariffs announced by President Donald Trump. As of April 11, some of those tariffs have been “paused” for computers and chips, saving companies like NVIDIA from some financial strife, but moving some manufacturing to the US is a much more permanent way to avoid the ongoing trade war.

This article originally appeared on Engadget at https://www.engadget.com/computing/nvidia-is-going-to-make-ai-chips-and-supercomputers-in-the-us-213534618.html?src=rss 

OpenAI has announced its phasing out GPT-4.5 from its developer API in favor of its new GPT-4.1 model. When it launched, OpenAI described GPT-4.5 as its best and most capable model so far, in part because it was a more natural conversationalist and could capably mimic some notion of emotional intelligence. Despite what its name suggests, GPT-4.1 is supposed to be better and more efficient.

OpenAI says GPT-4.1 is available exclusively to developer’s using OpenAI’s API, and comes in three sizes, GPT-4.1, GPT-4.1 mini and GPT-4.1 nano. That means that if you won’t find it as in option in the public-facing ChatGPT interface, but you could someday interact with an agent that leverages the model’s improvements. GPT-4.1 is supposed to be better at coding and “long context understanding,” according to OpenAI, with support for “up to one million tokens of context” and knowledge of the world up to June 2024. 

Important to the decision to phase out the GPT-4.5 Preview, GPT-4.1 is also cheaper to run. OpenAI says the model is “26 percent cheaper than GPT-4o for median queries.” The company imagines developers using GPT-4.1 to build agents that can work in software engineering environments, one of the more popular uses for generative AI. Even though GPT-4.5 will be eventually removed from OpenAI’s API, the model preview will still be available in ChatGPT if you wan’t to play with it.

OpenAI says the GPT-4.1 family is available to use today via the company’s API. GPT-4.5 will be fully-phased out in three months on July 14, 2025.

This article originally appeared on Engadget at https://www.engadget.com/ai/openai-is-phasing-out-gpt-45-for-developers-185554841.html?src=rss 

The Meta Quest 3S is on sale for $269 via Amazon. This is a record-low price for the 128GB VR headset, as it typically costs $300. It comes with a download code for Batman: Arkham Shadow and a three-month trial for Meta Quest+. This is the platform’s version of Game Pass or PS Plus, with an extensive catalog of playable titles.

The Quest 3S made our list of the best VR headsets, and for good reason. It offers a similar experience to the standard Quest 3, with just a couple of cut corners. This means that the graphics fidelity is a bit lower with the 3S, as it doesn’t have those sweet pancake lenses.

However, it does have the exact same Qualcomm Snapdragon XR2 Gen 2 chip as the Quest 3 and uses the same Touch Plus controllers. They offer decent motion controls and responsive joysticks and buttons. There’s no headphone jack, but we found the speakers to be adequate in most cases. Plus, you can always insert a USB-C to 3.5mm adapter or just pair wireless headphones.

Just like the original Quest 3, this one can connect to gaming PCs over USB-C or wirelessly. This allows folks to play AAA titles intended for power-hungry computers and not standalone VR headsets. It can also wirelessly stream gameplay to Chromecast devices or to AirPlay devices by mirroring the Quest app from an iPhone.

We called it “impressive VR for $300” in our official review. This is even more true with today’s sale. The only caveat here is this is the 128GB version, which could fill up pretty fast. Batman: Arkham Shadow, for instance, is around 20GB. The 256GB model is on sale for $369 instead of $400. 

Follow @EngadgetDeals on X for the latest tech deals and buying advice.

This article originally appeared on Engadget at https://www.engadget.com/deals/the-meta-quest-3s-is-on-sale-for-a-record-low-price-174954820.html?src=rss 

Meta plans to start using data collected from its users in the European Union to train its AI systems, the company announced today. Starting this week, the tech giant will begin notifying Europeans through email and its family of apps of the fact, with the message set to include an explanation of the kind of data it plans to use as part of the training. Additionally, the notification will link out to a form users can complete to opt out of the process. “We have made this objection form easy to find, read, and use, and we’ll honor all objection forms we have already received, as well as newly submitted ones,” says Meta. 

The company notes it will only use data it collects from public posts and Meta AI interactions for training purposes. It won’t use private messages in its training sets, nor any interactions, public or otherwise, made by users under the age of 18. As for why the company wants to start using EU data now, it claims the information will allow it to fine tune its future models to better serve Europeans.            

“We believe we have a responsibility to build AI that’s not just available to Europeans, but is actually built for them. That’s why it’s so important for our generative AI models to be trained on a variety of data so they can understand the incredible and diverse nuances and complexities that make up European communities,” Meta states. 

“That means everything from dialects and colloquialisms, to hyper-local knowledge and the distinct ways different countries use humor and sarcasm on our products. This is particularly important as AI models become more advanced with multi-modal functionality, which spans text, voice, video, and imagery.” 

Meta notes other AI companies, including Google and OpenAI, have similarly used data from European users to fine tune their own systems. Today’s announcement follows the initial release of Meta’s new Llama 4 models. After some early hype, the company was accused of gaming LMArena, a website where humans compare the outputs of different AI models to rank them. Researchers noticed Meta had provided an experimental version of Llama 4 to the site “optimized for conversationality.”

This article originally appeared on Engadget at https://www.engadget.com/ai/meta-will-start-using-data-from-eu-users-to-train-its-ai-models-175307338.html?src=rss