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v0.7.0

LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

llama.cpp11 min read

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llama.cpp1 min read

Latest AI News

  • AI Desktop Automation vs RPA: What Changed

    RPA replays selectors recorded at design time. AI desktop automation reads the accessibility tree and runs OCR at runtime. A look at how each one fails, what maintenance costs, and which workloads should stay on UiPath or Automation Anywhere.

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  • Can AI See Your Screen? How It Actually Works

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  • What Is an Accessibility Tree in AI Automation?

    The accessibility tree is the labeled hierarchy macOS publishes for screen readers, and it gives an AI agent exact element coordinates instead of pixel guesses. A look at the token math against screenshots, the cases where the tree returns nothing, and how OpenOwl queries it through AXUIElement.

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  • Fix macOS Permissions for Computer Use Agents

    Accessibility and Screen Recording are the two TCC grants every macOS computer use agent needs, and both fail in confusing ways. Here is why the prompt keeps coming back, why your screenshots are black, and why the restart is not optional.

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  • Best MCP Servers for Screen and UI Control

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  • Claude Cowork vs Local Desktop Agents

    Claude Cowork runs an agent in Anthropic's cloud for team document work. A local MCP agent runs on your own Mac and drives the apps you already have open. Here is where each one wins on privacy, cost, and what it can actually reach.

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  • Loop Engineering for AI Desktop Automation

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  • Run a Free AI Agent on Your Mac (No Subscription)

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  • MCP vs Computer Use: What Is the Difference?

    MCP is a protocol for how models discover and call tools. Computer use is a capability where a model reads a screenshot and issues clicks. They solve different problems, and the token cost between them differs by an order of magnitude.

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  • MCP Server for Desktop Automation: 2026 Guide

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  • OpenClaw vs OpenOwl: Desktop Control Compared

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  • Claude Computer Use Without Pro or Max

    Anthropic's computer use requires a Pro or Max plan and is unavailable on Team and Enterprise at any price. Here is the free route on macOS using an MCP server, including the daily limits and the failure modes you will hit.

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