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All content about Microsoft, organized for fast scanning.
Microsoft is advancing its AI capabilities with the preview of Autopilot, a persistent AI agent designed for enterprise use, and the introduction of seven new in-house MAI models that enhance various functionalities such as reasoning and image generation. Additionally, the company is planning to implement token-based billing for GitHub Copilot, which may affect user access and signups, indicating a shift towards more structured usage and billing practices.
Microsoft has just rolled out a preview of Autopilot, its persistent AI agent formerly known as Scout. Built on the OpenClaw runtime, it adds local inference, file transfer, and a Code mode via an OpenClaw gateway.
Microsoft has just rolled out seven new in-house MAI models, spanning reasoning, coding, image generation, transcription, and voice. It’s also introducing Frontier Tuning to tailor models to real workflows, plus a Mayo Clinic partnership for a clinical AI model.
Leaked docs say Microsoft is preparing a shift from request quotas to token-based billing for GitHub Copilot. The changes could also pause some new individual signups, tighten rate limits, and cut model access on lower-cost plans.
Microsoft’s move to open-source GitHub Copilot under the MIT License changes what’s possible for teams building developer tools—and raises real questions about strategy, costs, and competition. This video breaks down what was announced and why it matters if you ship software, manage platforms, or build on AI coding workflows. Key takeaways Covers what it means for Copilot to be “free and open-source” under the MIT License (including forking and modifying it). Explains why Copilot still isn’t “totally free,” and what you’re paying for in the paid product. Walks through why Microsoft might open-source Copilot now, in the context of recent AI coding products and partnerships. Mentions Microsoft also open-sourcing Windows Subsystem for Linux (WSL) and why that’s significant for developers.
AI coding startups are everywhere—but when the product promise outpaces reality (or integrity), the fallout can be fast. This video breaks down why Builder.ai, a Microsoft- and SoftBank-backed startup once valued at $1.5 billion, collapsed back to $0—and what that signals for “vibe coding” platforms. Key takeaways Walks through Builder.ai’s pitch with Builder Studio: “make you software” without technical expertise, and why that promise was “hard to keep in reality.” Explains the role of human labor behind the scenes, with programmers reportedly fixing AI-generated output. Covers allegations of fraud, including an alleged round‑trip billing scheme and invoicing for work not done to inflate revenue. Connects the collapse to broader debates on whether AI is a bubble—and what’s realistic about current model progress.