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šŸ¤– Meta’s invite-only AI leaked in a hilarious way

PLUS: Binance totally copied an AI hackathon project

Another great week for AI.

Let’s start it off right.

šŸ¤– Top Stories

šŸ‘€ Someone leaked the password to Facebook’s AI party

Source: Facebook’s own Github, lmaoooooooo

Well, that was fast.

Someone wanted to make access to Facebook’s invite-only AI model more democratic.

How? A little trolling.

They opened a request to update Facebook's documentation for the project. On that request, they included a link to download the model. Instead of waiting for Facebook.

Facebook made their AI party invite-only, but someone leaked the password.

Ouch.

Bottom line?

This model won't be popular until someone creates a decent wrapper around it.

Recall ChatGPT was around for a while before it hit that vertical growth curve. The tech didn’t change, someone just made a cool wrapper around it that was easy to use.

Who will do that for Facebook?

😬 Binance totally copied an AI project from its own hackathon

Yikes.

Picture this: you're in a Binance-sponsored hackathon. Everyone loves your product, called ā€œChatcassoā€. Generate any image using AI, and then convert it to an NFT. First prize. Hooray!

Then, two months later, Binance announces a new feature called ā€œBicasso.ā€ That feature looks a lot like your hackathon project.

With no credit to you.

That’s what happened to Twitter user ggoma.

Now, of course, Binance denied accusations of plagiarism. They said the concepts of AI and NFTs are common. They even said that they conceived their idea two weeks before the hackathon.

Our take: you do a hackathon sponsored by a company, and your rights to your idea are dicey at best.

Especially if you get first place.

šŸ¤žAI takes aim at detecting cancer

Yep, you can see here on this MRI that you need to update your antivirus.

Five years ago everyone said that AI would be able to detect cancer early.

Well, it’s finally starting to happen.

In Hungary, doctors are using AI to help flag potentially cancerous areas in imagery.

There are still hurdles before we use this in every MD's office.

Clinical trials must prove that it can work on people of all ages, body types, and ethnicities. The rate of false positives can’t be too high.

Still, that this is being used is a huge boon to the healthcare industry. There’s decades worth of imagery we can use for training, and it can help make doctor’s lives easier.

We’re hoping use of it won’t come with the healthcare markup.

šŸ˜Ž AI tools, news, tips

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  1. Why AI won’t cause unemployment.

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