Doppl: Your Virtual Dressing Room

Plus: More news from Apple & OpenAI

Welcome back, AI Admirers!

Breaking News: Google has just launched Doppl, an experimental AI-powered app in the U.S. that lets users upload a photo of themselves and any outfit image.

Get ready to dive into the latest happenings in AI.

šŸ“¢ Today's Headline:

  • Google’s AI App Lets You Try Clothes On!

  • Apple, Google Told to Drop DeepSeek!

  • Ā£3.9B AI Centre to Create 2,000 Jobs!

  • OpenAI Hires AI Shopping Startup Team!

  • Prompt Engineering for ChatGPT!

  • Latest AI Tools for Productivity!

  • Today’s Poll and Results!

Read time: 3.5 minutes!

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Hand-picked News

The line between fashion and filters just got blurrier—and your mirror might be in trouble.

  • Google’s Doppl app creates a digital version of you from a single full-body photo

  • Upload any outfit image—from a friend’s selfie to a Zara screenshot—and see it on your virtual self

  • Doppl even generates AI-powered videos so you can watch the clothes move on you

Launched under Google Labs, Doppl is still experimental and only available in the U.S. on iOS and Android.

šŸ‘€ This isn’t just a shopping tool—it’s a glimpse into hyper-personalized AI experiences that blend identity, creativity, and commerce.

āš”ļøTry it if you’re curious how that thrifted jacket or Pinterest dress would actually look on you.

The app in question? DeepSeek, a ChatGPT rival that’s now under fire for how it handles your data.

  • Germany’s data watchdog says DeepSeek illegally transfers user data to China

  • The app failed to meet EU privacy standards after being warned in May

  • Italy and the Netherlands have already banned it from devices and app stores

DeepSeek, developed in China, skyrocketed in popularity for its low-cost generative AI—but regulators say it’s a privacy nightmare.

āš ļø This isn’t just about one app—it’s a growing rift between Western data laws and Chinese AI ambitions.

šŸ‘€ If you’re using AI tools built outside your region, now’s a good time to double-check where your data’s going.

A Ā£3.9B data centre is set to rise from the ashes of Ravenscraig’s old steelworks, promising jobs, green energy, and a shot at AI dominance.

  • A 550-megawatt AI data hub is planned for a 160-acre site in North Lanarkshire

  • The project could create 2,000+ long-term jobs and slash energy waste using surplus renewables

  • It’s in the running for the UK’s AI Growth Zone program, with grid access expected by 2030

Once Europe’s largest hot strip mill, Ravenscraig shut down in 1992. Now, it’s being reimagined as a green tech powerhouse by developer Apatura.

āœ… This is more than a data centre—it’s a bold bet on AI infrastructure, clean energy, and regional revival.

āš”ļøIf this works, it could be a blueprint for transforming post-industrial towns into AI-era engines.

Rapid Fire Recap

šŸ”„ Trending AI Tools

šŸ”„ Ciroos - AI co‑pilot for site reliability, auto‑detecting and fixing infrastructure issues!

šŸ”„ ComfyMind - Extends ComfyUI with tree‑based planning and feedback loops for robust multimodal generation!

šŸ”„ asanAI - No‑code, offline browser toolkit for building and training ML models locally!

šŸ”„ Clueso - Converts screen recordings into narrated videos and step‑by‑step docs in minutes!

šŸ”„ Bud Runtime - Runs generative AI on CPUs, not GPUs, cutting deployment costs significantly!

šŸŽ“ Learning Spotlight

Master the techniques of effectively guiding language models. Learn the basics, advanced strategies, and applications to shape the future of AI-driven communication.

What you’ll get:

  • What prompt engineering is and why it matters

  • How ChatGPT and large language models work

  • Basic and advanced prompt techniques (zero-shot, few-shot, etc.)

  • How to write clear, effective prompts

  • Fixing weak or incorrect AI responses

  • Using prompts for content, code, and more

🚨 Quick Poll

Today’s Poll:

Do you think AI try-on apps will replace fitting rooms?

Login or Subscribe to participate in polls.

Vote today, see the results tomorrow!

Yesterday’s Poll:

Is Google rushing AI features before they’re ready?

  • A) Yes – Feels half-baked – 75%

  • B) No – Progress needs testing – 25%

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