AI

Middleware never quite lives up to these promises in practice. MCP, if history is any guide, will go down one of two paths:

1. Everyone will use it.




2. Everyone but one key platform will use it

When (1) happens two things will be true. First, no one will effectively monetize it. Second, every vendor will also add unique aspects to how they consume (client)

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Model benchmarks are seriously lacking. With Vals AI, we report how language models perform on the industry-specific tasks where they will be used.

We’ve released the public preview of GitHub Copilot app modernization for Java—an AI-powered solution designed to simplify and accelerate Java upgrades and cloud migrations. By combining the intelligence of GitHub Copilot with the scalability of Microsoft Azure, this tool empowers developers to modernize legacy Java applications with exceptional sp... See more

OmniParser V2 takes this capability to the next level. Compared to its predecessor (opens in new tab), it achieves higher accuracy in detecting smaller interactable elements and faster inference, making it a useful tool for GUI automation. In particular, OmniParser V2 is trained with a larger set of interactive element detection data and icon funct... See more

I asked labor economist Aaron Sojourner about this scenario of high unemployment plus strong economic growth, and he said there is a theory of the case, if you squint really hard. Amodei may believe that AI can increase productivity and make each hour of labor create more goods and services. But if that’s the case, he’s imagining “a 30% jump in lab... See more

You can now build and deploy remote MCP servers to Cloudflare. We’ve added four things to Cloudflare that handle the hard parts of building remote MCP servers for you