News
Filmmaker Uses AI To Visualize Thousands Of Leaked Passwords
UK filmmaker Daniel McKee’s film was created for the new single “ALONE” by London-based musician HOWE.
UK filmmaker Daniel McKee has created a unique film called “Password123” as a music video for London-based musician HOWE, and if you look carefully, you might see one of your online passwords featured.
McKee’s film visualizes real passwords leaked on the dark web from some of the most severe data breaches of the past decade. Each password was then run through the text-to-image ai DALL-E 2.
“Password123” offers a rare glimpse into user habits and highlights keyboard patterns such as “QWERTY” to the names of loved ones, pets, memorable dates, sports teams, and places.
Daniel handpicked passwords from an enormous 32GB file of 847,223,403 entries. To protect user privacy, names, addresses, and emails have been edited.
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“We share these secret phrases with computers daily, and they occupy a special place in our minds. I wanted to see how an AI would reveal them as images,” explained Daniel.
McKee’s film serves as an important reminder of the importance of strong passwords in an age when data breaches are becoming increasingly common. To check if your information has been compromised in a past data breach, check out the helpful haveibeenpwned.com website.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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