Microsoft finally admits File Explorer is slow, now it's testing a preload fix

C3.ai has announced an expansion of its partnership with Microsoft, enhancing their collaboration through upgraded integrations across Copilot, Fabric, and Azure AI Foundry, aimed at achieving unified operations. This development signifies a deeper commitment between the two companies to leverage AI technologies effectively.

Pornhub has reached out to tech giants Apple, Google, and Microsoft, urging them to implement device-level age verification systems. This call comes as the United States and the United Kingdom are tightening regulations on adult content, aiming to prevent minors from accessing pornography through site-specific identification checks.

The Web Install API has been announced as ready for testing on Microsoft Edge, allowing developers to experiment with its integration on their own sites through an origin trial. This development marks a significant step in enhancing web application capabilities and user experience.

A new approach to Knowledge Distillation (KD) has been proposed, focusing on effectively transferring knowledge from large language models (LLMs) to smaller models. This method replaces the traditional Kullback-Leibler divergence objective with a reverse KLD, which is better suited for generative models, thereby addressing the computational challenges associated with LLMs.

Microsoft has launched Fara-7B, a new 7-billion parameter AI model designed to function as a Computer Use Agent (CUA) that operates directly on users' PCs. This model aims to perform complex tasks locally, enhancing privacy and reducing reliance on cloud-based systems.

Windows users are expressing their frustration over Microsoft's announcement to transform the Windows operating system into what it calls an 'agentic OS,' designed to integrate autonomous AI agents. Many users are questioning how to disable these features, indicating a strong resistance to this shift in functionality.

Tech giants are currently navigating a complex landscape marked by AI backlash, significant infrastructure investments, and discussions about the future of work. Companies like Google are addressing user concerns regarding AI training and data privacy, while Hyundai's investment in an AI data center powered by Nvidia highlights the push towards autonomous systems.

Tech giants are currently navigating a complex landscape characterized by AI backlash, significant infrastructure investments, and discussions about the future of work. Companies like Google are addressing user concerns regarding AI training and data privacy, while Hyundai's investment in an AI data center powered by Nvidia highlights a push towards autonomous systems.