Microsoft’s planned .NET 10 software development platform has reached the release candidate (RC) stage, with highlights including post-quantum cryptography API completion and ASP.NET Core Identity metrics. Announced September 9 and downloadable from dotnet.microsoft.com, .NET 10 Release Candidate 1 is the first of two planned release candidates. The initial RC follows seven previews, with the first

Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these incredibly powerful models, especially as hosted services, is very expensive, often costing 10x times more than a traditional keyword search. A huge part of this cost

Basic chatbots get much of the publicity associated with modern AI platforms, but they have limited use cases, providing a simple natural language interface to search tools. It’s certainly useful, provided you implement fine-tuning and grounding in your own data, but it is still best thought of as an extension of existing search tools. AI

When working with ASP.NET Core applications, there are several ways in which you can enhance your application’s performance. Caching is one of the most widely used and proven strategies that can significantly boost your application’s scalability and performance. In this post, we’ll examine how we can work with caching in minimal APIs in ASP.NET Core.

Google giveth — and Google taketh away. If there’s one thing we’ve learned as Android-adoring animals over the years, it’s that you can’t ever fully count on Google to stick with something forever. The company pivots, rebrands, and eradicates apps and options as often as I eat waffles (which, conveniently enough, seems to be roughly

Microsoft 365 (and Office 365) subscribers get more frequent software updates than those who have purchased Office without a subscription, which means subscribers have access to the latest features, security patches, and bug fixes. But it can be hard to keep track of the changes in each update and know when they’re available. We’re doing

Microsoft recently released its own large language models — the technology that underlies all generative AI (genAI), from OpenAI’s ChatGPT to Google’s Gemini, Anthropic and others. Until now, Microsoft has relied on ChatGPT to be Copilot’s brains. But with Microsoft and OpenAI fighting about what Microsoft should get from its $13 billion investment in OpenAI, there’s

Anthropic has agreed to pay at least $1.5 billion to rights holders in settlement of a lawsuit regarding its training of generative AI models using copyright material without permission, raising concerns that this could increase the licensing costs enterprises pay for AI models — but the judge said the proposed settlement needs clarification. The class

Microsoft is reportedly preparing to integrate Anthropic’s AI models into Office 365, marking a shift from its longstanding reliance on OpenAI technology. The addition would bring Anthropic’s capabilities into productivity tools such as Word, Excel, Outlook, and PowerPoint, expanding the range of AI options available to customers, according to a report from The Information. The

Atlassian is shutting down its data center product line and forcing all remaining customers to migrate to the cloud by March 2029, in a move that will affect thousands of enterprises still running the collaboration software on-premises. The Australian software maker will stop selling new data center subscriptions to new customers by March 30, 2026,