開発スタッフがアプリ関連の最新技術やニュースをご紹介します。

今回は先日おこなわれたGoogleの開発者会議で話題になったProject Astraについて紹介します。

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今回はGoogle AI StudioのTemperatureパラメータ設定について説明します。

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Microsoft is gearing up for its Build event with a preview online event, shifting the spotlight to AI advancements, particularly through its Copilot feature. The unveiling of the Surface Pro 10 for Business and Surface Laptop 6 for Business at this event puts Copilot front and center, with a dedicated key embedded in the keyboard. This move underscores Microsoft’s commitment to integrating AI into its hardware, making tasks like planning, document retrieval, and website analysis more accessible to users with a simple button press.

These new Surface PCs mark a significant step in Microsoft’s journey towards what they’re terming as “the first Surface PCs optimized for AI.” By incorporating Copilot directly into the keyboard, Microsoft demonstrates a deep investment in leveraging AI technology. While it’s still relatively early days for Copilot, with its launch just a year ago, this move signals a strategic alignment with the burgeoning trend of AI integration in computing devices. Despite the past presence of Cortana keys, Microsoft’s focus on Copilot underscores its dedication to enhancing user experiences through AI.

The industry at large has seen a surge in branding around AI, with terms like “AI PC” and “AI smartphones” becoming commonplace. While these labels may seem abstract to consumers, they reflect a broader push towards AI-powered functionalities. Microsoft’s approach of branding these Surface devices as “optimized for AI” strikes a balance between acknowledging the trend and providing tangible benefits to users. Ultimately, while a Copilot key may seem like a small addition, its presence underscores Microsoft’s commitment to integrating AI seamlessly into everyday computing tasks, all while respecting the constraints of physical device design.

Yuuma

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今回はGoogleのAI Studioの使用方法を紹介します。

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OpenAI has introduced Sora, an innovative generative AI model designed to transform text into video content. According to OpenAI, Sora can produce 1080p movie-like scenes featuring multiple characters, various types of motion, and detailed background elements, based on either brief or detailed text descriptions or still images. Additionally, Sora has the capability to “extend” existing video clips by filling in missing details.

The model’s proficiency lies in its deep understanding of language, enabling it to interpret prompts accurately and generate dynamic characters that convey vivid emotions. OpenAI emphasizes Sora’s comprehension not only of the user’s requests but also of how those elements manifest in the physical world.

Despite the lofty claims made by OpenAI, the showcased samples from Sora demonstrate impressive capabilities compared to other text-to-video technologies. Sora can produce videos up to a minute long in various styles, such as photorealistic, animated, or black and white, maintaining coherence and avoiding common pitfalls associated with AI-generated content.

However, Sora is not without flaws, as acknowledged by OpenAI. The model may struggle with accurately simulating complex scenes’ physics, understanding cause and effect relationships, or maintaining spatial and temporal consistency. OpenAI positions Sora as a research preview, refraining from making it generally available due to concerns about potential misuse.

OpenAI is actively collaborating with experts to identify and address potential vulnerabilities in the model and is developing tools to detect videos generated by Sora. Should OpenAI decide to make Sora publicly accessible, it pledges to include provenance metadata in generated outputs to mitigate misuse risks.

Yuuma

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