🖥️ Copilot Takes Over Windows

Also: Anthropic Launches New AI Model

Author

Evolving AI
October 17, 2025

Welcome, AI enthusiasts

Microsoft is putting Copilot at the heart of Windows 11, turning it into your go-to helper for almost everything on your PC. From managing settings with your voice to analyzing what’s on your screen or editing photos, Copilot is becoming the new way to get things done. Let’s dive in!

In today’s insights:

  • Copilot Takes Over Windows

  • Anthropic Launches New AI Model

  • Gemma Model Sparks New Cancer Breakthrough

Read time: 4 minutes

LATEST DEVELOPMENTS

MICROSOFT
🖥️ Copilot Takes Over Windows

Evolving AI: Microsoft wants Copilot to be the main way people use Windows 11.

Key Points:

  • Copilot is now deeply integrated into Windows with voice, vision, and automation tools.

  • Users can say "Hey Copilot" to activate it or use new taskbar buttons and voice commands.

  • Copilot Vision and Copilot Actions bring screen analysis and local task automation to all devices.

Details:

Microsoft is embedding Copilot across Windows 11, making it central to how users interact with their PCs. You can control your system by voice, analyze what's on your screen, and perform tasks like searching files or editing photos. The new Copilot Vision feature reads and interprets on-screen content in apps such as Word or Excel, while Copilot Actions can sort photos or scan PDFs. A text-only mode is coming soon for users who prefer typing. The tool is available globally on most Windows 11 devices, with enhanced performance on Copilot+ PCs.

Why It Matters:

Voice-first Windows will change how people actually use a PC: hands free launches for quick tasks, on-screen help that can read what you’re looking at, and simple agents that sort files or scan PDFs while you watch. That’s immediate time saved for support desks, sales reps, students, and creators who bounce across apps all day. Connectors pull in Gmail, Drive, and Outlook so you can ask for a contact or slide deck instead of hunting for it, but the agent preview stays sandboxed, which keeps risk in check until it proves itself.

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Evolving AI: Anthropic releases Claude Haiku 4.5, a faster and cheaper model with near-frontier coding skills.

Key Points:

  • Delivers Sonnet 4-level coding at one-third the cost and double the speed.

  • Outperforms Sonnet 4 in some computer-use tasks, ideal for real-time AI work.

  • Classified under AI Safety Level 2, making it Anthropic’s safest model so far.

Details:

Claude Haiku 4.5 is Anthropic’s new small model, now available across its apps, API, and major cloud partners. It matches much of Claude Sonnet 4’s coding strength but runs at one-third the cost and over twice as fast. Haiku 4.5 is tuned for low-latency use—like chatbots, coding assistants, and customer service—and shows improved alignment with fewer concerning behaviors. Safety tests placed it at ASL-2, indicating minimal high-risk misuse potential.

Why It Matters:

Cheaper, faster, and safer AI means developers can run large-scale or real-time systems without draining budgets. Think of call centers, support bots, or code copilots responding instantly while staying within compliance and cost limits. With models like Sonnet handling planning and Haiku executing in parallel, this setup could mark the start of true AI teamwork: one brain coordinating many hands.

Evolving AI: A Gemma-based model has helped identify a new, testable pathway for cancer therapy.

Key Points:

  • Researchers at Yale used Gemma’s C2S-Scale 27B model to simulate how drugs behave inside immune-active tumors.

  • The model pinpointed silmitasertib, a CK2 inhibitor, as a potential amplifier for immune signaling in tumors.

  • Lab tests confirmed the AI’s prediction, showing a 50% boost in tumor visibility to the immune system.

Details:

The new 27B-parameter Cell2Sentence-Scale model, built on the Gemma framework, analyzed cell-level data to predict how drugs behave in different immune environments. Its standout finding: silmitasertib only enhances antigen presentation when low levels of interferon are already present. Experiments later validated that combining silmitasertib with interferon amplifies immune detection, offering a promising new path for making cold tumors responsive to treatment.

Why It Matters:

Drug discovery teams can use this pattern now: run single‑cell foundation models to screen combos in silico, rank repurposable drugs, then validate only the top hits. A CK2 blocker like silmitasertib carries existing safety data from oncology studies, shrinking the gap from bench to trial. For immunotherapy, the win is smarter patient selection: boost MHC‑I only in tumors with weak interferon tone and pair with a checkpoint drug, instead of treating every tumor the same. For startups and pharma, this sets a practical playbook for label expansion and combo design rooted in patient context, not cell lines.

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QUICK HITS

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