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If you’re serious about breaking into AI, don’t just collect tutorials.

Follow a roadmap.

Swipe through this 60-day AI & ML plan to learn the right skills in the right order, from Python foundations to your final AI showcase project.

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Meta just launched an AI that can recreate you. You were never asked.

Swipe to see how deep this goes 👉

Meta's new Muse Image, its first in-house AI image model, is now live on Meta AI; Instagram Stories, and WhatsApp. Facebook and Messenger are next.

Here's the part that should worry you, all it takes is typing "" into a prompt. If your Instagram is public, your photos become raw material for someone else's AI creation. No alert. No approval. No clue.

Public accounts are opted in by default. You won't be notified if your face is used. And opting out later won't undo what's already been made, so we broke down exactly how to turn it off, in under 20 seconds.

Meta's answer is "Content Seal". Invisible, signed metadata on every Muse Image creation. It survives cropping, resizing, even screenshots, and Meta's rolling out a public tool to detect it. Helpful? Yes. Enough to fix consent? That's still the question.

The real story here isn't the AI. It's that your face just became a setting you have to actively manage, instead of a right you already had.

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Google just shipped something bigger than a new AI model it shipped an entire creation pipeline. 🎬

Two models, one workflow: generate an image in seconds, animate it into video, then keep refining it, all through plain conversation, no editing software involved.

This isn’t just about speed. It’s a shift in how AI products are being built, not as standalone tools, but as connected systems designed to hand off work between each other.

Swipe to see exactly how it works 👉

Meet Nano Banana 2 Lite, Google’s fastest, cheapest image model yet. 🍌

It generates a full image in just 4 seconds, at $0.034 per 1K-resolution image, built specifically for high-volume, high-speed use cases where speed matters more than perfection.

It’s already replacing the original Nano Banana model across Google’s ecosystem from Search and the Gemini app, to NotebookLM, Photos, and Ads.

The tradeoff? This is the “fast and cheap” tier of a 3-model lineup, meaning it prioritizes speed over the deeper reasoning and precision you’d get from its more advanced siblings.

Meet Gemini Omni Flash, Google’s new video generation model that edits with plain language instead of timelines or editing software. 🎥

It accepts text, image, and video as reference inputs, and lets you refine a video simply by describing what you want changed, priced at $0.10 per second, the same rate as Veo 3.1 Fast.

It’s genuinely useful today, but still early: Google’s own docs disclose that it currently only supports 10-second clips, doesn’t yet accept audio references, and character consistency across scene changes is still a work in progress.

Now live in public preview on Google AI Studio and the Gemini API.

This is where it gets smart, Nano Banana 2 Lite and Gemini Omni Flash aren’t just two separate models, they’re designed to work as a connected pipeline. 🔗

Generate a fast, cost-efficient image with Nano Banana 2 Lite. Animate it into a video with Omni Flash. Then keep refining it up to 3 sequential edits, and the Interactions API maintains context across all of them, like it’s having a conversation with you instead of just following isolated commands.

Every output is watermarked with SynthID for content t

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