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Midjourney’s Style, Meta’s Scale
Plus: YouTube is using AI to enhance your videos for viewers without telling you
Welcome, Prohumans.
Here’s what you’re going to explore in this post:
Meta Just Made a Bold AI Art Power Move
Is YouTube Quietly Altering Your Videos?
AI Finds Cancer Pathologists Miss, years before it shows
Just happened in AI
Learn from this investor’s $100m mistake
In 2010, a Grammy-winning artist passed on investing $200K in an emerging real estate disruptor. That stake could be worth $100+ million today.
One year later, another real estate disruptor, Zillow, went public. This time, everyday investors had regrets, missing pre-IPO gains.
Now, a new real estate innovator, Pacaso – founded by a former Zillow exec – is disrupting a $1.3T market. And unlike the others, you can invest in Pacaso as a private company.
Pacaso’s co-ownership model has generated $1B+ in luxury home sales and service fees, earned $110M+ in gross profits to date, and received backing from the same VCs behind Uber, Venmo, and eBay. They even reserved the Nasdaq ticker PCSO.
Paid advertisement for Pacaso’s Regulation A offering. Read the offering circular at invest.pacaso.com. Reserving a ticker symbol is not a guarantee that the company will go public. Listing on the NASDAQ is subject to approvals.
Meta taps Midjourney to level up its image and video AI

Meta is betting big on visuals in the AI arms race. And it just signed a key deal with Midjourney to get there faster.
Here’s everything you need to know:
Meta will license Midjourney’s AI to boost its own image and video tools.
The partnership was announced by Meta’s Chief AI Officer on Threads.
Midjourney’s unique style and independence made it a standout partner.
This tech will feed into future Meta models for platforms like Instagram and Facebook.
Meta has already built Imagine and Movie Gen, but this deal signals a leap forward.
Midjourney, founded in 2022, reportedly earned $200M by 2023 without outside funding.
While Meta once considered acquiring Midjourney, the startup remains independent.
I think Meta sees generative visuals as the next frontier in social media and it’s moving fast. By licensing instead of buying, it keeps flexibility while adding serious creative firepower. The real story? This is less about image quality, and more about AI-driven storytelling at scale.
YouTube’s new AI quietly edits your uploads

Creators are noticing strange things in their YouTube videos. Sharper edges. Plastic-like smoothing. Shadows that weren’t there before.
Here’s everything you need to know:
YouTube appears to be using AI to enhance video “clarity” post-upload.
Creators say their content looks different without any changes on their end.
One artist lost his signature VHS grain after the platform’s edits kicked in.
Music creators fear it could make their videos look fake or AI-generated.
These changes aren’t disclosed to uploaders, raising transparency concerns.
Viewers now have to guess: is this what the creator made or what YouTube altered?
In a world of deepfakes and synthetic content, trust is already fragile.
If YouTube wants to experiment with AI edits, it needs to tell people. Otherwise, it risks blurring the line between creator and algorithm and breaking the trust that made YouTube a creative platform in the first place.
AI detects early prostate cancer in 80% of missed cases

A new study out of Sweden just changed how we think about cancer diagnosis. Turns out, AI can spot prostate cancer that trained pathologists can’t.
Here’s everything you need to know:
Researchers at Uppsala University trained AI to detect cancer in “healthy” biopsies.
In over 80% of samples later linked to cancer, the AI found early warning signs.
These signs were completely missed by human pathologists at the time.
The key? Subtle tissue changes surrounding prostate glands visible to AI, not to the eye.
All men in the study were declared cancer-free; half developed aggressive cancer within 2.5 years.
The AI learned by comparing known outcomes with microscopic image data.
This method could radically improve follow-up decisions for at-risk men.
This isn’t just a story about early detection, it’s about pattern recognition at a level humans can’t touch. The future of diagnosis might be less about seeing and more about training machines to look where we never thought to.

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