We’re now eight months away from Microsoft officially pulling the plug on Windows 10, and PC gamers aren’t ready to let go. But if you’re planning to upgrade your hardware while sticking with Windows 10, you might be in for some unexpected compatibility headaches—starting with AMD’s new Radeon RX 9070 and 9070 XT graphics cards.
AMD has quietly confirmed that all Radeon GPUs starting with the 9000 series will have “UEFI-only support”, according to a document spotted by VideoCardz.com.
For those unfamiliar, Unified Extensible Firmware Interface (UEFI) is the modern replacement for the old BIOS firmware used to initialize your PC before booting the operating system. If your motherboard is less than 10 years old, chances are you’re already using UEFI. But if you’re still rocking an older setup, these new GPUs might not work properly—or at all.
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Most Windows 11 users won’t be affected, since UEFI is required for Secure Boot and other security features. However, Windows 10 still supports older BIOS systems, and a significant chunk of gamers are still using it. According to Steam’s latest hardware survey, over 40% of Steam users are still on Windows 10—but it’s unclear how many are running motherboards with only BIOS instead of UEFI.
Will Radeon 9000 GPUs Work on Older Boards? Maybe, But…
AMD hasn’t outright stated that 9000-series cards won’t work on BIOS-based motherboards or UEFI boards with Compatibility Support Module (CSM) enabled, but performance and support won’t be guaranteed. That’s a big red flag for those who want to upgrade their GPU while keeping their aging hardware intact.
Even if you plan to stick with Windows 10 beyond its official end-of-life date, you can still upgrade your motherboard to a UEFI-compatible model and install Windows 10 instead of Windows 11. But as we get closer to that cutoff, expect more compatibility issues like this to start appearing.
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If you’re a Windows 10 holdout with older hardware, this might be the push you need to start thinking about your next big upgrade—before you run into a wall.
On Thursday, OpenAI announced the release of a research preview for its latest model, GPT-4.5, exclusively for its Pro users and developers worldwide. The company revealed plans to gradually expand access to more users in the upcoming weeks.
GPT-4.5 introduces several significant enhancements over its predecessors:
GPT-4.5 supports file and image uploads and can also work on writing and coding projects, but does not currently support other advanced features such as voice and video.
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Starting next week, GPT-4.5 will be rolled out to ChatGPT Plus and Team users. The following week, Enterprise and Edu users will gain access.
CEO Sam Altman called it "a giant, expensive model," saying the company ran out of GPU capacity to roll out to user tiers at the same time.
"We will add tens of thousands of GPUs next week ... this isn't how we want to operate, but it's hard to perfectly predict growth surges that lead to GPU shortages," he said in a post on X.
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Google has recently received FDA clearance for its loss of pulse detection feature, which is available on the Pixel Watch 3. This innovative technology is designed to monitor a user's pulse continuously. When the system detects a potential loss of pulse, it activates infrared and red lights to search for additional pulse signals while a motion sensor checks for any movement. An AI algorithm then analyzes both the pulse and movement data to confirm whether there is a true loss of pulse.
If the watch determines that there is no pulse and the user does not respond during a subsequent countdown, it automatically calls emergency services and sends an automated message with the user's status and location. Google first unveiled this life-saving technology at its Made by Google event last year alongside the Pixel Watch 3 launch.
Currently available in 14 countries, the FDA clearance means that the feature will soon be accessible to U.S. users of the Pixel Watch 3, with availability expected at the end of March. Jake Sunshine, a research scientist at Google, highlighted the significance of this milestone, stating that their extensive research and testing confirmed the potential of wearable devices to detect emergencies and improve health outcomes. He emphasized that this safety feature could make a meaningful difference, particularly in situations where individuals are alone and immediate assistance is critical.
In a discussion with MobiHealthNews at Google’s Bay View headquarters during the Made by Google event, Sunshine explained that the loss of pulse condition can affect anyone, regardless of age, and may arise from various causes, both cardiac and non-cardiac. Recognizing the time-sensitive nature of such emergencies, Google designed this feature to quickly connect users with help when needed the most. According to Sunshine, this loss of pulse detection technology is the first of its kind and represents a significant step forward in wearable health monitoring.
Google DeepMind has introduced a free version of its AI-powered coding assistant, Gemini Code Assist, making advanced coding tools accessible to developers worldwide at no cost.This launch follows the October 2024 debut of Gemini Code Assist Enterprise, a paid version priced at $45 per month per user (or $19 per month with an annual subscription).
Gemini Code Assist is powered by the Gemini 2.0 model, fine-tuned for real-world coding scenarios. It supports all publicly available programming languages and provides up to 180,000 code completions per month—far surpassing other free AI coding tools.
For context, the widely-used Cursor AI offers just 2,000 code completions per month on its free tier. Additionally, Gemini Code Assist features a 128,000-token context window, allowing developers to work seamlessly with large codebases.
The assistant integrates with major development environments, including:
Within GitHub, Gemini Code Assist enhances the development workflow by:
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According to Ryan J. Salva, Google Cloud’s Senior Director of Product Management, AI-powered coding tools are becoming indispensable for developers and should be available to everyone, regardless of financial constraints. He emphasized that AI not only speeds up coding but also improves code quality through faster and more efficient reviews.
This free version builds on the foundation of Gemini Code Assist Enterprise, which launched in October 2024 as a replacement for Google’s previous AI coding assistant, Duet.
As reported by VentureBeat’s senior AI reporter, Emilia David, the enterprise version offers deeper integrations with Google Cloud services such as Firebase, BigQuery, and Colab Enterprise. It also provides:
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The free version of Gemini Code Assist stands out for its generous usage limits compared to other AI-powered coding tools:
GitHub Copilot Free:
Amazon Q Developer Free Tier:
Claude Code (Beta by Anthropic):
In comparison, Gemini Code Assist offers 180,000 monthly completions—equivalent to 6,000 per day—far surpassing GitHub Copilot Free and Amazon Q Developer. Its completely free access, with no credit card required for sign-up, makes it particularly appealing to students, hobbyists, and startups.
Intel (INTC.O) announced on Monday that the first two advanced lithography machines from ASML Holding (ASML.AS) are now fully operational in its factories. Early data suggests these machines are more reliable than previous models.
At a conference in San Jose, California, Intel’s senior principal engineer, Steve Carson, revealed that the company successfully produced 30,000 silicon wafers in a single quarter using ASML’s high numerical aperture (NA) lithography machines. These wafers serve as the foundation for thousands of computing chips.
Intel was the first chipmaker to receive these next-generation machines last year. The technology is expected to enable the production of smaller, faster chips compared to earlier ASML models. This marks a strategic shift for Intel, which had previously lagged behind competitors in adopting extreme ultraviolet (EUV) lithography.
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It took Intel seven years to fully integrate the previous generation of EUV machines into production, a delay that contributed to losing its lead to Taiwan Semiconductor Manufacturing Co (2330.TW). The company faced challenges with the reliability of those earlier EUV models during the initial rollout.
However, Carson noted that ASML’s new high NA machines have proven to be about twice as reliable as their predecessors in early testing.
“We’re consistently producing wafers, which is a major advantage for the platform,” Carson said.
These new lithography machines, which use beams of light to print intricate patterns onto chips, also improve efficiency. Unlike earlier models that required multiple exposures to complete a process, the high NA machines can achieve the same results with just one exposure and significantly fewer processing steps.
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According to Carson, initial tests at Intel’s factories show that tasks requiring three exposures and approximately 40 processing steps with previous machines can now be accomplished with just a single exposure and only a handful of steps.
Intel plans to use these high NA machines to advance its 18A manufacturing technology, which is expected to begin mass production later this year with a new generation of PC chips. The company has also announced plans to fully integrate the machines into production for its upcoming 14A manufacturing technology, though it has not yet provided a timeline for mass production.