Get ready for a diversity of architectures in HPC spanning CPUs, AI accelerators, and quantum, as the AI boom has triggered an insatiable demand for computing, Technical University of Munich […]
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Chevron's long-term natural gas deal with Microsoft highlights the growing reliance on fossil fuels for tech infrastructure amid energy transition challenges.
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Microsoft's unproven quantum claims highlight the challenges and skepticism in advancing topological quantum computing commercially.
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Project Kilby highlights the growing trend of tech giants securing dedicated energy sources, impacting energy markets and AI infrastructure.
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The massive data center investments by tech giants could lead to significant financial risks if AI demand doesn't meet expectations.
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The AI IPO tsunami on the stock market has only recently gotten under way, with SpaceX’s more-than-$2 trillion IPO likely to be followed in several months by OpenAI’s and Anthropic’s IPOs — each of which is likely to hit $1 trillion.
That will mint three new trillion-dollar AI companies in a matter of months, all of which compete with Microsoft.
Wall Street has never seen anything like it. Previously, the most money raised by all IPOs in a single year was $671 billion in 2021. It took 38,644 deals to get to that figure. Compare that to three deals this year that by themselves will likely total $4 trillion.
The numbers are eye-popping.
For Microsoft though, it’s not the numbers themselves that are important. It’s what will happen to the company once it as three newly minted trillion-dollar AI competitors. Until recently, when it came to AI, Microsoft was king of the hill. But can it keep that place?
Microsoft’s weakened position
The IPOs come at a particularly fraught time for Microso
Microsoft has been pushing hard to make Visual Studio Code a major way to consume its AI services, mostly in the form of GitHub Copilot. GitHub Copilot’s deep integration with VS Code brings many conveniences — inline autocomplete, for instance — but it’s frustrating for those, like me, who would rather use another model provider, or even a locally hosted LLM, for those functions.
Visual Studio Code 1.122 introduced a new feature, “Use BYOK [Bring Your Own Key] without a GitHub sign-in,” that allows you to “use chat, tools, and MCP servers in air-gapped or restricted environments where GitHub sign-in isn’t possible.” More importantly, it “enables fully offline workflows with local models like Ollama.”
In other words, you can now use locally hosted LLMs for chat, tools, and Model Context Protocol servers inside Visual Studio Code. The one thing you still can’t do is use a local LLM for inline and next-edit suggestions — at least, not without additional tooling.
Choosing a model for BYOK
Industry leaders welcomed President Trump's quantum executive orders, while researchers said the accelerated timelines reflect growing urgency around post-quantum security and cryptocurrency infrastructure.