
AI content creator Matt Wolfe has released an open-source 'AI Slop Detector' designed to identify AI-generated video content. The project, hosted on GitHub under the repository mreflow/ai-slop-detector, emerged from a challenge to distinguish increasingly realistic AI video from human-created footage. After initial iterations failed to produce accurate results, Wolfe refined the model over several days, noting that the computational costs for running such detectors can escalate quickly. The tool represents a community-driven effort to address the growing difficulty in spotting synthetic media.
Read originalThis release stabilizes the core agent loop by fixing critical bugs in prompt caching and subagent resume logic that previously broke context reuse. Plugin management gets a significant upgrade with dynamic folder scanning, allowing developers to hot-load tools without restarting the session. The update also hardens security around symlink traversal and refines telemetry routing for enterprise gateways. While not feature-heavy, these fixes make Claude Code more reliable for complex, multi-step coding workflows.
Anthropic quietly patched a regression in Claude Code that broke LLM-gateway and proxy setups. The previous version incorrectly forced Cloud-gateway sign-in when the CLAUDE_CODE_USE_GATEWAY variable was set, even with API keys or custom auth headers configured. This update restores the expected behavior where the variable is ignored unless specific Anthropic credentials are present. Developers relying on custom authentication flows can now resume their workflows without configuration changes.