A retro-pop band called The Velvet Sundown accumulated a million monthly listeners on Spotify earlier this year. The music was catchy. The backstory was detailed. The photographs had that quality of images that reward close inspection by generating new questions.
Everything about the project was generated by artificial intelligence. The songs, the images, the biography, the entire artist identity that listeners had been following and adding to playlists. And it worked. People were fooled. That's the significant thing.
The Pack's position - human creation, human curation - is not (only) a statement about the ethics of AI as a technology. It is a governance decision about what kind of content the platform is designed to support, and whose interests it was built to serve.
An AI disclosure label doesn't resolve the structural question of whether synthetic content should compete in the same royalty pool as music made by human beings. But it is a start, and transparency and flexibility is always better than the alternative.
New blog on AI disclosure, The Velvet Sundown, and why the label on the label matters even for platforms that already say no.
#AIMusic #AITransparency #HumanCuration #IndependentMusic #MusicIndustry #ThePackMusic #ArtificialIntelligence #MusicEthics

When a retro-pop band called The Velvet Sundown racked up a million monthly listeners on Spotify earlier this year with catchy hooks and nostalgic sound, music fans were captivated. There was just one problem: the band wasn't real - every song, image, and backstory had been generated using AI. Th
Agentic AI introduces new opportunities and challenges for regulated industries.
In this blog, Hilary Carter, SVP of Research at the Linux Foundation, explains why guardrails are essential to support transparency, accountability, and responsible adoption.
Open source provides visibility into how systems are built and behave, helping organizations navigate complexity with confidence.
Read the full blog: https://www.linuxfoundation.org/blog/navigating-the-agentic-ai-guardrails-why-open-source-is-the-key-to-ai-in-regulated-industries
#AgenticAI #OpenSource #ResponsibleAI #AITransparency #TechPolicy
You cropped the AI image, compressed it to 25%, and removed the watermark.
Google STILL knew it was AI-generated. 👀
It's called SynthID — a hidden signature embedded at the pixel level that survives editing, compression, and cropping.
Tested it myself. Edited an AI image 6 different ways. Uploaded to Gemini. Flagged instantly.
It works on videos and audio too.
With AI product photos flooding online shopping, this kind of transparency tool is genuinely needed.
Is your content AI-generated? Google will now tell users! 🤯 New structured data update impacts forums & Q&A pages.
👉 Check it out: https://go-techsolution.com/google-adds-ai-bot-labels-to-forum-qa-structured-data/
#AITransparency #GoogleNews #SEOStrategy #ContentCreators #TechUpdate #OnlineMarketing
Cursor's $29.3B code editor marketed Composer 2 as an "in-house" model. A developer found the actual model ID within 24 hours: it was Kimi K2.5, built by Beijing's Moonshot AI. This marks the second undisclosed use of Chinese models in four months, raising questions about transparency when users route proprietary code through these systems.
#AITransparency #CodeSecurity #TechAccountability
https://www.implicator.ai/opinion-cursor-called-it-in-house-it-was-built-in-beijing/

Cursor called Composer 2 an in-house model. A developer found the actual model ID within 24 hours: kimi-k2p5-rl-0317-s515-fast. The $29.3B code editor ran on Beijing-built Kimi K2.5, whose maker the Commerce Department flagged for national security risks. Second time in four months.
Hands on with Adobe Firefly: Finally an image generator that can be used in school
Generative AI is a multimodal technology, with applications in text, image, video, audio, and code. Unfortunately, up until now, the actual usefulness of GAI in schools has been limited by technical and practical barriers. ChatGPT, for example, is easy to access but problematic in the classroom due to its obscure terms and conditions and dubious privacy and data storage. There are also ethical concerns with its construction, the bias in the output, and the potential to generate inappropriate […]