Google has officially launched Gemini 2.0, its most advanced AI model suite yet, marking a significant step in the ongoing AI race among tech giants. While access was initially limited to developers and trusted testers in December, Google has now made the models widely available in a general release.
The Gemini 2.0 suite includes multiple models tailored for different tasks:
For developers, Gemini Flash is priced at $0.10 per million tokens for text, image, and video processing, while the Flash-Lite version costs just 0.75 cents per million tokens, making it significantly cheaper for large-scale applications.
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Google’s release of Gemini 2.0 is a key step in its broader push toward AI agents—models designed to perform complex, multi-step tasks autonomously. As the competition intensifies, Meta, Amazon, Microsoft, OpenAI, and Anthropic are all racing to develop similar agentic AI capabilities, aiming to create systems that require minimal user intervention.
Anthropic, backed by Amazon, has already demonstrated AI agents capable of interacting with computers like humans, navigating interfaces, and executing tasks independently. Meanwhile, OpenAI introduced Operator, a tool designed to automate daily tasks such as booking travel, filling out forms, and making reservations. Google’s Gemini 2.0 responds to these advancements by integrating native image and audio output along with enhanced tool use, moving closer to its goal of building a universal AI assistant.
As 2025 approaches, Google is gearing up for multiple AI feature rollouts, aiming to refine and expand its AI offerings. CEO Sundar Pichai emphasized Google’s strategic approach, stating: “In history, you don’t always need to be first but you have to execute well and really be the best in class as a product. I think that’s what 2025 is all about.”
With Gemini 2.0 now available, Google is positioning itself to lead in AI innovation, while its rivals continue to push the boundaries of what AI agents can achieve. The evolving competition will shape the next generation of AI-driven applications, making 2025 a defining year in the AI industry.
Microsoft has quietly deleted a support document that previously guided users on installing Windows 11 on unsupported PCs, a change first noticed by Neowin. The removal aligns with Microsoft’s recent push to encourage users to upgrade their hardware, as part of what it has dubbed the "year of the Windows 11 PC refresh."
When Windows 11 debuted in 2021, Microsoft introduced TPM 2.0 as a hardware requirement—a decision that sparked backlash from users with older but still functional PCs. To offer a workaround, Microsoft published an official guide explaining how users could edit their registry key values to bypass the TPM 2.0 check and install Windows 11 on unsupported hardware. However, despite numerous warnings stating that this method was unsupported and used at the user's own risk, the guide has now disappeared, signaling that Microsoft no longer endorses the registry key trick in any form.
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Despite the controversy surrounding TPM 2.0, Microsoft has reiterated that Windows 11’s hardware requirements will remain unchanged, even as support for Windows 10 is set to end later this year. This means that many users with older PCs will be left with a difficult choice: upgrade their hardware or continue using an unsupported operating system.
With no more security updates after Windows 10 reaches end-of-life, millions of users who stick with the OS may become increasingly vulnerable to cybersecurity threats, including viruses and malware. This could disproportionately impact older and less tech-savvy users, who may be at a higher risk of falling victim to cybercrime.
For those still looking to bypass Windows 11’s hardware checks, the now-deleted guide remains accessible via the Internet Archive’s Wayback Machine. It is unclear whether Microsoft has actively disabled the workaround or if it simply no longer wishes to publicize it. However, for users who insist on trying, the method may still work—at least for now.
Texting emergency services can sometimes be more effective than calling, and Google has been working on expanding support for emergency texts via RCS—the modern upgrade to SMS. While Google previously promised this feature would arrive in 2025, recent findings suggest the rollout is getting closer.
A report from Android Authority has uncovered hidden code in the latest Google Messages update, referencing emergency RCS messaging and its ability to share information with emergency responders. Although the feature is not yet live, Google engineers appear to be laying the groundwork for its introduction, at least for the US 911 service.
Currently, emergency services can be contacted via SMS in some areas, but support remains inconsistent. In the US, only 53% of emergency call centers currently accept SMS-based emergency texts. By integrating RCS messaging, Google aims to expand accessibility while also introducing new safety features such as photo and video sharing, read receipts, and more reliable message delivery.
Last year, Google announced a partnership with RapidSOS to upgrade emergency call center technology in the US. That initiative began in late 2024, indicating that emergency RCS messaging could go live sometime in 2025.
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Initially, Google Messages will be the first app to support emergency RCS texting, but the feature is expected to expand to other messaging apps and potentially more countries over time. iPhones, which recently gained RCS support, are also likely to receive this feature.
Apple already allows SMS-based emergency texting, but its availability depends on location. Additionally, iPhone 14 and later models support emergency messaging via satellite, enabling users to contact emergency services even when Wi-Fi and cellular networks are unavailable.
Google’s RCS-based emergency messaging could significantly enhance how people reach emergency responders, especially in situations where calling isn’t an option. With expanded multimedia sharing and more reliable communication, this upgrade represents a major step forward in critical safety communications. As development progresses, more details on launch timelines and availability are expected in the coming months.
The February 2025 Android security updates have been rolled out, addressing a total of 48 vulnerabilities, including a high-severity zero-day vulnerability actively exploited in the wild. This zero-day flaw, CVE-2024-53104, is a privilege escalation issue in the Android Kernel's USB Video Class (UVC) driver, which has been used in low-complexity attacks to gain escalated privileges.
The vulnerability occurs because the UVC driver incorrectly parses certain video frames of type UVC_VS_UNDEFINED. Within the uvc_parse_format function, this miscalculation leads to an improper frame buffer size, which can trigger out-of-bounds writes. Attackers can exploit this flaw to execute arbitrary code, potentially gaining full control over the system or launching a denial-of-service (DoS) attack. This security gap highlights the importance of addressing kernel-level vulnerabilities that could otherwise compromise Android devices.
In addition to the CVE-2024-53104 zero-day, the February update also patches another critical flaw in Qualcomm’s WLAN component, CVE-2024-45569. This vulnerability involves firmware memory corruption caused by improper validation of array indices during WLAN host communication, specifically when parsing invalid ML IE (Management Layer Information Element) frames. The flaw can be exploited by remote attackers to execute arbitrary code, read or modify memory, or trigger crashes—all without requiring user interaction or elevated privileges. This vulnerability poses a significant risk, particularly in remote attacks, and highlights the need for timely firmware updates in Android devices.
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Google has released two security patch levels for February 2025: 2025-02-01 and 2025-02-05. The 2025-02-05 patch set includes all fixes from the previous batch, along with updates for closed-source third-party and kernel components. However, these may not be applicable to all Android devices.
It's important to note that vendors might prioritize the 2025-02-01 patch set to speed up the update process. However, this doesn't necessarily indicate an increased risk of exploitation, as the updates will be deployed progressively.
In addition to addressing the February 2025 vulnerabilities, Google has been actively working on patching other critical flaws in the Android ecosystem. In November 2024, two actively exploited zero-days—CVE-2024-43047 and CVE-2024-43093—were fixed. These vulnerabilities were reportedly used in targeted attacks, with CVE-2024-43047 being exploited by the Serbian government in the NoviSpy spyware campaign. This attack primarily targeted journalists, activists, and protestors, further highlighting the growing threat of state-sponsored cyber attacks.
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The patches address a range of security risks, from kernel-level privilege escalation to remote code execution flaws in Qualcomm’s WLAN component. Given the increasing sophistication of mobile threats, it's essential for Android users and device manufacturers to promptly apply these updates to safeguard their devices from potential exploitation.
OpenAI, the AI startup known for its groundbreaking work in artificial intelligence, is signaling its intentions to expand into new product categories. Recent filings with the U.S. Patent and Trademark Office (USPTO) reveal that OpenAI is planning to venture into various hardware offerings, including headphones, smart glasses, AR/VR headsets, smartwatches, and even humanoid robots. These products are set to integrate with OpenAI's AI technologies for simulation, training, and enhanced user interaction.
The new products outlined in OpenAI's trademark application demonstrate a clear push into hardware, expanding the company’s focus beyond AI models. The potential for AI-powered wearables such as headphones and smart glasses suggests that OpenAI is looking to integrate its AI tools into everyday devices. These gadgets would facilitate immersive and intelligent experiences, enabling users to interact with AI models in entirely new ways.
In addition, OpenAI has teamed up with Jony Ive, the famed former Apple designer, to work on a hardware project aimed at developing sleek, AI-powered devices. While specifics remain limited, OpenAI CEO Sam Altman mentioned in early 2024 that the company is working with multiple partners to bring these innovations to life. However, he cautioned that it could take several years before even a prototype of these devices is released.
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OpenAI’s recent patent filing also points to plans for the development of user-programmable humanoid robots with advanced communication and learning capabilities. These robots are designed to assist and entertain people, potentially providing personalized interactions or acting as digital companions.
To accelerate progress in this area, OpenAI has expanded its team by hiring Caitlin Kalinowski, a former Meta executive with a background in augmented reality (AR). Kalinowski will lead OpenAI’s new robotics division, focusing on creating humanoid robots equipped with custom sensors and AI that can adapt to real-world environments and perform tasks intelligently.
Alongside its robotics and hardware plans, OpenAI has also hinted at the development of custom AI chips. These chips will likely enhance the efficiency of training AI models, using quantum computing resources to improve processing power.
The company has long been rumored to be working on its own AI chips, and the latest trademark filing includes references to AI chip services aimed at improving the performance of AI models. Broadcom and TSMC, two major semiconductor manufacturers, are said to be working with OpenAI on the development of these custom chips, with a potential release as early as 2026. This move would mark a significant shift for OpenAI, allowing it to optimize hardware for AI-specific tasks and drive faster model training.
In addition to its ventures into hardware and robotics, the company hired a former quantum systems architect from the startup PsiQuantum to help explore how quantum computing can be leveraged to accelerate AI advancements. With quantum computing's unique ability to handle vast calculations simultaneously, OpenAI aims to improve the efficiency of training large and complex models. This could lead to faster processing times, reduced costs, and ultimately more powerful AI systems in the future.
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While much of OpenAI's hardware plans remain speculative for now, the company’s moves in AI-powered wearables, humanoid robots, and custom chips indicate a bold vision for the future. If these initiatives come to fruition, OpenAI will not only have a hand in the future of artificial intelligence but also in the development of cutting-edge hardware that could redefine how we interact with AI in our everyday lives.
