
The ability for AI systems to navigate software and complete tasks across different applications could accelerate automation of knowledge work.
Holo4 is a new series of agentic models, available in two sizes, that can interact with software through multiple interfaces including graphical user interfaces, code, APIs, and other tools. The models are designed to handle real business workflows and were trained using supervised and reinforcement learning on various environments and tasks. On academic benchmarks for desktop control and API use, Holo4 achieves competitive performance with the strongest closed models while using significantly fewer parameters and costing substantially less per task. The models can work across different platforms including desktops, web applications, Android devices, code sandboxes, and business APIs without requiring different versions for each environment.

DeepSeek has released an official desktop app for DeepSeek Harness (dsh), its open-source agent harness. The app ships with the v0.2 preview. Installers cover macOS (Apple silicon) and Windows (64-bit). Is it deployable? Yes, today, as a preview. Download it from deepseek.com/harness or run npx @deepseek-ai/dsh web. DeepSeek warns that compatibility-breaking changes will follow. What Shipped in v0.2 A harness is the runtime that turns a model into an agent. It reads files, runs command

When AI systems claim task completion without verification, downstream errors can cascade through dependent processes, exposing gaps in reliability for critical workflows.

Capcom's Pragmata might be all about the horrors of AI, but in practice the studio doesn't seem so down on the tech. During the Capcom Open Conference RE: 2026 programmer Satoshi Ishida gave a presentation with the mouthful of a title: "The Outlook and Future of the REX Project, Further Evolving the RE Engine for the Next Generation." During the talk he laid out the challenges facing studios producing games at the scale of Resident Evil, which can make even simple tasks extreme
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