Samsung Galaxy S25 vs Galaxy S26: What’s New? Samsung’s Galaxy S25 is widely praised for its fast performance, quality display, and well-balanced feature set. But with the Galaxy S26 right around the corner, it’s natural to ask: What’s actually changing? Here’s a direct comparison based on current rumors and expected upgrades. Specifications Comparison Feature Galaxy S25 Galaxy S26 (Rumored) Display ~6.2″ FHD+ AMOLED, 120 Hz ~6.27″ FHD+ AMOLED, 120 Hz adaptive Chipset Snapdragon 8 Elite (for Galaxy) Snapdragon 8 Elite Gen 5 / Exynos 2600 RAM 12 GB 12 GB Storage 128 GB / 256 GB / 512 GB 256 GB / 512 GB (128 GB may be dropped) Rear Cameras 50 MP + 12 MP + 10 MP Same basic layout, possible enhancements Front Camera 12 MP 12 MP Battery ~4,000 mAh ~4,300 mAh Release Date Feb 7, 2025 Likely Feb–Mar 2026 Main Differences Explained Display & Design While the overall design language won’t dramatically change year-to-year, the S26’s slightly larger screen and refined dimensions could make i...
Microsoft and OpenAI have joined forces to embark on an ambitious project to develop an artificial intelligence supercomputer dubbed "Stargate," with an estimated cost soaring as high as $100 billion. The collaboration, as reported by The Information, unveils plans for a groundbreaking endeavor that could redefine the future of AI technology.
Sources familiar with the project revealed that the projected cost of $100 billion reflects the immense scale and complexity of the undertaking. Microsoft is expected to spearhead the financing for the endeavor, marking a significant investment that dwarfs previous data infrastructure projects. Stargate is slated for completion by 2028, showcasing a timeline that underscores the magnitude of the initiative.
The supercomputer initiative, spanning six years, represents a strategic collaboration between Microsoft and OpenAI, aiming to push the boundaries of AI capabilities. Stargate stands as the pinnacle of this endeavor, marking the culmination of several phases of development. A considerable portion of the project's expenses will be allocated towards acquiring advanced AI chips, essential components driving the computational power of the supercomputer.
However, the rapid advancement in AI technology has revealed a bottleneck in the development process, primarily attributed to the scarcity of graphics processing units (GPUs) crucial for AI model training. The surge in demand for these chips, fueled by the burgeoning field of generative AI, has exacerbated supply constraints. Nvidia, a dominant player in the GPU market, has struggled to meet escalating demands, resulting in soaring chip prices.
Following Nvidia's announcement of its latest AI chip, the Blackwell B200, priced between $30,000 and $40,000 per unit, concerns have mounted regarding the accessibility and affordability of cutting-edge AI hardware. Nvidia's substantial investment in research and development underscores its commitment to maintaining a competitive edge in the market.
In response to Nvidia's market dominance, a coalition of technology giants, including Intel, Qualcomm, Google Cloud, Arm, and Samsung, has launched the "United Acceleration Foundation." This collaborative effort aims to challenge Nvidia's stronghold by promoting an open standard accelerator programming model, fostering innovation and competition in the AI hardware landscape.
The emergence of initiatives like Stargate and the United Acceleration Foundation signals a paradigm shift in the AI ecosystem, characterized by increased collaboration and innovation. As the race for AI supremacy intensifies, strategic alliances and technological advancements will play a pivotal role in shaping the future of artificial intelligence.
Article by Francis Onyach
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