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š¤ Why Musk Killed Twitter
This is Synthetic Mind, the A.I newsletter that's more addictive than a shot of espresso - quick, energizing, and extremely satisfying.
Itās Friday. Hereās how weāre closing out the week:
š¦ Why Musk Killed Twitter
š A.I Race Takes Unexpected Turn
š§ $600K For A.I-Powered Brain Cells
Read Time: 4 min 58 sec

š¦ Why Musk Killed Twitter
The rumors are true, Twitter has fallen.
And in its place, we have X - Muskās masterplan for an āeverything appā powered by his new A.I company x.ai.
Think of it as a virtual supermarket where you can go to one app for everythingā¦ I mean everything.
Banking, shopping, videos, job hunting, A.I services, etc..
Hereās how the CEO of Twitter X describes it:
We knew this was coming back in October when Musk told us that buying Twitter was āan accelerant to creating X, the everything app.ā
But after that announcement, we didnāt hear anything for a few monthsā¦
Then after Zuckerberg challenged Twitter with Threads, and Twitter lost over 50% of ad revenue in less than one yearā¦.
Musk saw it as the perfect opportunity for a switch-up.
Although a risky move, Musk has just secured his spot at the top of all A.I companies. How?
Right now new A.I tools are coming out every hour, each one making the previous one seem like old news.
But Musk has created a ābridgeā to the A.I tools. So heās not competing with them anymore, heās working with them.

Weāve already seen the idea of an āeverything appā work with the Chinese app WeChat, which is now worth over $67 billion.
Plus, Tencent has started funding their A.I powered āeverything appā as well.
Musk may be on to something hereā¦.

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š A.I Race Takes Unexpected Turn
We are NOT in the same A.I Race as we were a month ago. Things are changing, and theyāre changing fast.
At first all we had were closed-source chats - chats that wonāt release the code they were built on.
Thatās kinda like buying food from a store but not being able to see the label of ingredients.
But after reports that ChatGPT was being ādumbedā down so OpenAI could sell more subscriptionsā¦.
People are demanding chats become open-source so users know what theyāre buying, and can use it to build their own products.
This week, their wishes were answered: Stability AI has released two new A.I chatsā¦ both open-source, and both 100% free.
All open-source chats are still behind ChatGPT as far as capabilities go, but the gap is quickly closing.
This makes sense as open-source models grow faster as they have more people working on their code. Whereas with closed-source models, only the developer has access.
And itās looking like FreeWilly 2 might be the first:
Now OpenAI is under more pressure to open-source ChatGPT so they stay ahead and keep their users.
Yet, OpenAI is still refusing to release ChatGPTās code - a choice that will soon cost them the lead.
What this means for you: The faster A.I becomes freely available for businesses, the more A.I will become a part of your life.
Think about it - how many times do you use the internet, Google, or even your cloud every day?
Itāll be like that but on a larger scale.

š§ $600K For A.I-Powered Brain Cells
I donāt know what freaks me out more, Neuralink, or thisā¦
The Australian government has donated $600,000 to a group of scientists trying to merge human brain cells with A.I.
Yes, itās exactly what it sounds likeā¦
The research team is growing human brain cells in a lab, attaching them to a tool that analyzes the neural activity, then sending the data to an A.I software.

The goal: Teach A.I to learn like humans
Why?
Until a few years ago, Machines could not learn by themselves. That gets annoying when we try to use A.I in tools where the A.I needs to use common sense - like with self-driving cars.
Humans can see, learn, and apply. Whereas A.I can only do what we teach it to.
So by connecting the A.I to human brain cells, the A.I can learn how to teach itself like humans do.
And itās workingā¦
In the first trial combining human brain cells and A.I, the A.I software learned how to play a game of Pong in 5 minutesā¦ all by itself.
A simple task, but it proved the concept that A.I can be trained to think and act like humans.

Obviously, this is a slippery slope. Once A.I can think and learn as fast as humans, thatās the day AGI arrives.
AKA the A.I everyone is scared of.
A good thing for self-driving carsā¦.. A bad thing if AGI doesnāt like us.

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