Microsoft Hit ‘Audacious’ Copilot Goals After Wall Street Input - Bloomberg.com
Microsoft Hit ‘Audacious’ Copilot Goals After Wall Street Input Bloomberg.com
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Designing a UI That AI Can Actually Understand (CortexUI Deep Dive)
CortexUI is an AI-native interface system that turns UI into a contract for intelligent agents. You can explore the source on GitHub and browse the docs and demos at cortexui.llcortex.ai . If you want AI to operate a UI reliably, you have to stop making it guess. That is the shortest possible explanation of CortexUI. The longer explanation is more interesting. Most web automation today works by inference. The system looks at the DOM, searches for a likely button, reads labels, tracks layout, maybe uses screenshots, and tries to decide what to do next. It works until the interface changes. Then the guessing starts to fall apart. CortexUI fixes that by giving the UI its own explicit machine-readable layer. Here is the simplest example: data-ai-id= "save-profile" data-ai-role= "action" data-a
OpenAI shifts to usage-based pricing for Codex in ChatGPT business plans
OpenAI is ditching fixed licenses for Codex in its ChatGPT business plans. Instead, companies only pay for what they actually use, a move aimed squarely at GitHub Copilot and Cursor. The article OpenAI shifts to usage-based pricing for Codex in ChatGPT business plans appeared first on The Decoder .
Microsoft says Copilot is for entertainment purposes only, not serious use — firm pushing AI hard to consumers and businesses tells users not to rely on it for important advice
Microsoft says Copilot is for entertainment purposes only, not serious use — firm pushing AI hard to consumers and businesses tells users not to rely on it for important advice
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Seedance 2.0: Technical Analysis of ByteDance's Multimodal Video Generation Model
This post provides a technical analysis of Seedance 2.0, ByteDance’s AI video generation model released in February 2026. The focus is on the model’s architectural innovations — multimodal reference inputs, physics-aware motion synthesis, video-to-video editing, and frame-accurate audio generation — and the current state of API access for integration. Model Architecture: Multimodal Reference System The defining architectural feature of Seedance 2.0 is its multimodal reference system. While most video generation models accept a text prompt and optionally a single image, Seedance 2.0 supports up to 9 images + 3 video clips + 3 audio tracks as simultaneous input references . The model processes these through separate extraction pathways: Input Type Max Count Extracted Features Images 9 Compos
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