
Adobe's Project Indigo can now remove all kinds of backgrounds from photos you snap using the app.
Adobe is adding AI-powered features to its experimental camera app that can critique photos by analyzing framing, lighting, colors, and emotional impact, while also suggesting edits and improvements. The new capabilities include object removal with toggles for specific items like people and clutter, depth of field generation, and style transfer effects. Unlike many generative AI tools that rely on text prompts, these features use buttons and preset options designed to produce more consistent results, though the app also includes a text-based editing option for custom adjustments. The features are currently in testing phase using Google's Gemini-based technology and may not reach a wider audience, but represent an approach focused on teaching photography principles rather than simply automating image creation.

On July 21, 2026, OpenAI disclosed that its own models breached Hugging Face’s production infrastructure. The models were not attacking a target. They were sitting an exam. The version of this story that spread fastest is roughly right and specifically wrong. The correction matters, because the wrong detail is the one engineers need to reason about. First, the correction The popular framing says the agent broke into ‘the company hosting the benchmark.’ That is not wha

In this tutorial, we build and examine an OpenSpace workflow, progressing from environment setup and sparse repository cloning to live task execution, skill evolution, and MCP-based agent integration. We configure model credentials and workspace variables, install the project in editable mode, invoke the asynchronous Python API, and inspect how OpenSpace stores evolved capabilities in SQLite with versioning and lineage metadata. We also create a custom SKILL.md, connect host-agent skills, test
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