OpenAI has requested a federal court to allow its countersuit against Elon Musk to proceed alongside his original lawsuit. The company argues that Musk’s attempt to dismiss their claims lacks factual basis, emphasizing that their allegations of fraudulent business practices are critical to the case. Musk, who co-founded OpenAI in 2015 but claims it has strayed from its original mission for public-benefit AI research to profit motives, filed his lawsuit against OpenAI and CEO Sam Altman in 2023. In response, OpenAI accused Musk of harassment and dismissed his proposed $97.4 billion acquisition offer as insincere and designed for publicity. OpenAI seeks judicial action to prevent Musk’s further “unlawful” actions. Despite OpenAI’s recent adjustments regarding board oversight, Musk’s legal team remains committed to pursuing the lawsuit. The unfolding legal battle highlights tensions between Musk’s vision and OpenAI’s current direction.

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The latest AI selection tools in Lightroom Classic and Photoshop significantly streamline the editing process by automating precise selections. Aaron Nace from Phlearn demonstrates how these tools effortlessly recognize various elements in images, such as skies and vegetation, enabling targeted edits like color temperature and saturation adjustments without manual masking. Notably, users can create multiple masks simultaneously, enhancing workflow efficiency.

In portrait editing, Nace shows how easily specific features such as clothing and skin can be adjusted, improving color harmony and details with minimal effort. Additionally, the use of radial gradients adds natural lighting effects seamlessly. Converting layers to Smart Objects allows for non-destructive edits, giving flexibility in adjustments. The AI-driven methods not only provide greater control but also offer real-time comparisons of edits, helping users refine their creative choices more effectively. The tools present a significant advancement, making complex edits simpler and more intuitive. For more insights, check out the complete video from Nace.

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Researchers have raised alarms about the extensive access granted to numerous apps that can read OneDrive user data. Findings indicate that hundreds of third-party applications possess full read permissions, potentially compromising user privacy and sensitive information. This situation arises from the way OneDrive permissions are managed, allowing apps to access files without sufficient user awareness or consent. The researchers emphasize the risks associated with this practice, as these apps may misuse or inadequately protect the data they access. Users are encouraged to be vigilant about the applications they authorize to connect with their OneDrive accounts and to regularly review permissions to mitigate potential security threats. The findings underscore the importance of improving data access protocols and enhancing user awareness regarding app permissions to protect personal information stored in cloud services like OneDrive.

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In the midst of a technological revolution, Sam Altman, CEO of OpenAI, stands out as a key figure in the AI race, a role he has been groomed for from his Midwest roots to Silicon Valley success. OpenAI’s strategy focuses on democratizing AI, fostering collaborations with major companies like Microsoft, and prioritizing ethical considerations in AI safety. Events like TechCrunch Sessions: AI are drawing enthusiasts, featuring activities such as an AI trivia countdown. Meanwhile, Microsoft marks a historic moment by signing its first U.S. union contract with ZeniMax’s QA testers, likened to a modern David and Goliath story. As companies like Meta shift to AI for product risk assessments, questions arise about AI’s understanding of nuanced ethical dilemmas. Overall, the quest for innovation raises critical questions about balancing technological advancement with ethical responsibilities—illustrating that the journey in this digital renaissance is as vital as the destination itself.

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Elon Musk reportedly attempted to prevent OpenAI’s participation in a large data center project in the UAE, announced by Donald Trump and developed by Emirati AI company G42. The plan includes a 5GW data center, with OpenAI set to utilize part of it for a local Stargate cluster, supported by Oracle and SoftBank. Musk’s concerns arose after he learned of OpenAI CEO Sam Altman’s involvement, as he wanted his own AI venture, xAI, to be included. Although Musk’s intervention delayed the project’s announcement, White House officials ultimately moved forward. Musk, who previously supported OpenAI financially, has harshly criticized Altman and the Stargate initiative, questioning its funding viability. Despite his efforts, xAI remains in contention to establish operations on the campus. Musk has recently distanced himself from White House activities while also expressing dissent over various administrative policies and initiatives.

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OpenAI has acquired Jony Ive’s design startup for $6 billion, signaling a strategic move to enhance its product design capabilities. Jony Ive, renowned for his work with Apple on iconic products, brings significant design expertise to OpenAI. In parallel, major tech companies including Nvidia, OpenAI, and Cisco have introduced the Stargate project in the UAE, aimed at developing advanced AI infrastructure. This initiative is likely to bolster the region’s technological landscape and foster innovation in artificial intelligence. The partnerships among these industry leaders highlight a commitment to advancing AI technology and its applications globally. Together, these moves reflect the increasing importance of design and infrastructure in shaping the future of AI.

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The technical paper titled “What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips” explores the limitations of current computing hardware for training large language models (LLMs), which can consume substantial energy. Collaboratively authored by researchers from various prestigious universities, the paper investigates emerging photonic hardware designed for advanced AI computing. It reviews integrated photonic neural network architectures and alternative neuromorphic devices, highlighting their potential for ultrafast matrix operations. The integration of two-dimensional materials like graphene into photonic platforms is discussed for enhancing modulators and synaptic components. The paper also analyzes transformer-based architectures and evaluates methods for adapting them to this new hardware, revealing both strategies and challenges. Ultimately, the authors suggest that photonic systems could greatly improve throughput and energy efficiency over traditional electronic processors, though advancements in memory and data storage are essential for managing large datasets and longer context windows.

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