A lot of news about AI filmmaking advancements and new policies around AI technology so let’s dive right in.
Welcome to WednesdAI – Pixel Dreams’ weekly update with top stories from the rapidly evolving world of Artificial Intelligence.
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This Week’s News
Top Story
🎬 Google Veo 3.1 Demo
Google has rolled out Veo 3.1, an upgraded version of its video-generation model that improves editing controls, audio realism through Flow Audio, and the process of turning text prompts or photos into short clips. The update delivers smoother motion, longer sequences, and more natural soundscapes, pushing Google closer to consumer-ready AI video creation while it still grapples with safety and provenance concerns. This week, we’re putting Veo 3.1 to the test by recreating past demo clips to see whether the new model offers a true cinematic upgrade or just some refined polish.
🎥 Watch our full demo on WednesdAI to see the side-by-side results, from concept to action shot.
Read more about it from The Verge.
Generative Vision: Progress & Boundaries
🚀 Adobe launches Foundry service for custom enterprise AI models
Adobe has launched a new “Foundry” service that builds custom generative AI models for enterprise clients, aiming to give companies proprietary tools trained on their own data. The service sits on top of Adobe’s Firefly platform and lets businesses develop tailored AI models for tasks like image generation, brand content, and marketing automation—without sharing sensitive data. Foundry offers managed infrastructure and compliance assurances, positioning Adobe as a safer, more customizable alternative to open AI tools. The move signals Adobe’s push to lock in enterprise clients as generative AI competition heats up across creative and marketing industries. For marketers, it’s a clear message: brand-specific AI is the next competitive moat.
📰 Get the updates from TechCrunch.
🛑 OpenAI pauses Sora video generations of Martin Luther King Jr.
OpenAI is shutting down the ability for users to generate historical deepfakes in Sora after people began recreating scenes like Martin Luther King Jr.’s “I Have a Dream” speech with the tool. The company said users will no longer be allowed to produce video reenactments of real historical figures or events after backlash over the trend. Critics argued these AI-generated recreations blur truth, risk misinformation, and cross cultural lines, raising new ethical pressure on generative video platforms.
📰 Dive into more insights from The Verge.
The Shifting Information Economy
🏛️ Wikipedia: traffic falling because of AI search summaries and social video
Wikipedia says its traffic has dropped sharply as more users get information from AI-powered search summaries and short-form videos on platforms like TikTok and YouTube. Pageviews are down about 15% year over year, with editors noting that users now see AI-generated answers directly in search results instead of clicking through to source material. The Wikimedia Foundation warned that this shift threatens both the visibility and funding of one of the web’s last major nonprofit knowledge hubs. While Wikipedia remains a backbone for AI training data, it’s struggling to stay relevant in an internet increasingly mediated by AI filters. For digital strategists, it’s proof that even foundational web platforms can lose ground when algorithms start summarizing their value away.
📰 Read the article form TechCrunch.
🎶 Spotify partners with labels to create ‘artist-first’ AI music products
Spotify has partnered with major record labels including Sony Music, Universal, Warner, and indie group Merlin to develop “artist-first” AI music tools. The project aims to let musicians use AI for creative support such as lyric generation and production assistance while keeping label-approved control over how artists’ voices and likenesses are used. Spotify says the system will block unauthorized deepfakes and ensure royalties go to rights holders. The move follows growing pressure from artists and labels to regulate AI’s impact on music creation and streaming. For the music business, it’s a calculated attempt to use AI’s benefits without letting it replace the artists themselves.
📰 Read more about this from The Verge and TechCrunch.
Power & Responsibilit
⚡ AI Data Center Boom Coming to Canada
AI data centers in Canada are consuming massive amounts of water to cool their servers, raising new environmental concerns as the country becomes a hub for AI infrastructure. A CBC investigation found that facilities operated by major tech companies use millions of liters of freshwater annually, often in regions facing drought risks. The lack of transparency around reporting and regulation means most companies don’t disclose how much water they use or where it’s drawn from. Environmental experts warn the problem will worsen as AI demand and data center construction accelerate. For tech firms, this highlights a growing sustainability liability that could soon draw the kind of scrutiny once reserved for carbon emissions.
📰 Find out from CBC.
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