AI Springs Forward: Microsoft and GitHub Back Anthropic, Apple Chases ChatGPT, and Intel Powers Up
Today’s AI news is a mix of collaboration, competition, and raw processing power. We’re seeing major players align on standards, internal projects aiming to match industry benchmarks, and new hardware designed to accelerate AI development. It’s a busy day for those tracking the AI landscape.
First up, TechCrunch reports that GitHub and Microsoft are joining the steering committee for MCP, Anthropic’s standard for connecting AI models to data sources. This is a significant move. MCP aims to streamline how AI models access and use data, which is often a bottleneck in AI development. Having Microsoft and GitHub on board lends serious weight to the standard, potentially encouraging wider adoption across the industry. This could lead to more interoperable and efficient AI systems down the line.
Microsoft is also making moves to boost the presence of AI-powered chatbots on the web. According to another TechCrunch article, they’re launching an open project called NLWeb. This initiative aims to simplify the process of building and deploying chatbots, potentially leading to a surge in conversational AI experiences across various websites. It seems Microsoft is betting big on the future of AI-driven interactions online.
Meanwhile, 9to5Mac reports that Apple executives believe their internal AI chatbot is “on par” with ChatGPT. While details are scarce, this suggests Apple is making progress in its AI efforts and is striving to compete with the leading AI models. Whether this internal chatbot will translate into tangible features for consumers remains to be seen, but it signals Apple’s intent to be a major player in the AI space.
Finally, Intel announced new GPUs for AI and workstations at Computex 2025. These new GPUs are designed to accelerate AI development and deployment, offering increased processing power for both prosumers and AI developers. The announcement includes updates to the Intel Arc Pro GPU lineup and the availability of the Intel Gaudi 3 AI accelerator. It’s clear that the demand for specialized hardware to power AI applications is driving innovation in the GPU market.
Taken together, today’s AI news paints a picture of an industry that’s simultaneously coalescing around standards, fiercely competing on performance, and rapidly expanding in its applications. The race is on to build better AI models, make them easier to use, and provide the hardware infrastructure to support them. The next few years promise to be an exciting time for anyone following the world of artificial intelligence.