
Welcome to the “what is a photo” debate, Adobe. | Image: Adobe Adobe's experimental camera app has taken an unexpected turn. After Project Indigo was launched last year to provide a "more natural (SLR-like) look" for iPhone photography, the Indigo camera app is now being updated with a suite of generative AI tools. And the change doesn't rely upon Adobe's own Firefly AI models. Adobe describes the new "AI Playground" tooling suite as an experiment and says there's a button that
Adobe's experimental camera app has added generative AI tools to its latest update, including preset filter effects, object removal, and a chatbot feature that analyzes photos for editing suggestions. The app was originally designed to help mobile photographers capture images with a natural, SLR-like appearance through computational photography and manual controls, but now incorporates AI-powered editing capabilities. Adobe is testing free access to these AI features with a small group of users and notes that the edits rely on Google's AI model rather than Adobe's own Firefly models. The company plans to charge for these features if they prove popular and is working to add metadata standards to identify AI-manipulated images, though it acknowledges that responsibility for how images are used ultimately falls on the photographer.

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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