19-year-olds are creating and selling GPTs.
And making $10,000 per month.
But sadly most people don't know how to create GPTs.
So, we create GPTs creator Mega-Prompt to help you.
It's free for 24/hrs.
To get it, simply:
• Like & RT
• Reply "Send"
• Follow (I will DM you)
For the exact same reason that Nous Research doesn’t mine their own subnet, the exact same reason the American gov could never mine Bitcoin, why the USA beat the USSR.
incentivized systems are more optimal —you can’t compete with their production in a direct way.
Random, incentived, better aligned people on the internet beat you within a week. We just built a way to express all sorts of things like that.
$TAO - Decentralized, high cost of production, fair.
Vs.
$STARK - "Yo @ercwl will you shill this absolutely worthless L2 shtcoin if we cut you in on the investor round."
Why AI and blockchain projects and large companies will come flooding into Bittensor & $TAO? You are not ready!
Bittensor is going to flip the game and turn it inside out for AI, with $TAO. It's like, instead of sticking with the old-school, pricey, unreliable way of doing business. In with the new Cost-Effectiveness, Unmatched Scalability, Rock-Solid Reliability, State-of-the-Art Security, Sustainable Innovation, Flexibility and Autonomy, Community and Collaboration model
Also 8211.03 𝞃 or $5,640,957 USD to register for a subnet is by design!!
This is brilliant. Let me explain how. And why $TAO is going to be the biggest narrative we have ever seen for utility and use case in cryptocurrency history!
AI on big cloud servers (you know, like how OpenAI spends a fortune on ChatGPT?),
Bittensor spreads out the work. So, instead of one company footing a massive bill, a bunch of miners get paid in $TAO to share their computing power.
So, running ChatGPT ain’t cheap. The daily bill's around $100,000, and that’s a lot of dough for their free version. The setup’s on Microsoft’s Azure, so OpenAI doesn’t have to deal with the headache of physical servers.
Now, Azure charges about $3 per hour for one of those fancy A100 GPUs. Every word ChatGPT spits out costs about $0.0003, and for just a regular chat, OpenAI might be looking at using at least eight GPUs to keep the convo flowing smoothly
That means a simple 30-word answer costs them around a cent. Stack that up, and you’re looking at $3 million every month just on running costs. Big numbers, right? When we get technical, a single A100 GPU can handle a 3-billion parameter model pretty quick, like 6ms quick.
But since ChatGPT-3.5’s got 175 billion parameters, you need at least five A100 GPUs to get anything done for just one query. The whole setup averages out to about 8 GPUs to keep up with the pace of 15-20 words per second
For example, when it comes to @neural_internet Compute markets of today consist of siloed pools of compute resources separated by each provider and its designated apps to access each pool of compute. Subnet 27 decentralizes computing resources by combining siloed pools of compute on a blockchain to be validated and accessed trustlessly. This opens a door to scalable compute without the constraints of centralized power.
👀 So, why's this awesome and a changer for companies?
Way Cheaper:
Obviously, it's way less expensive. You're not paying top dollar for cloud services; you're paying in $TAO, which makes the costs more manageable and way lower, imagine an AI company now has the compute they need with the heavy costs traditionally associated, and so much more.
Bigger and Better:
It's super easy to scale up. Need more power? Just get more miners on board. There is no need to buy more servers or anything hardware related. The miners got your back. The implications here are massive.
Safer & Secure:
It's not all in one place, so it's harder for hackers to mess with your data by distributing the data amongst miners all over the globe. Also you have other subnets where security is the name of thier game.
Always On:
Since it's not just one server that can crash, it's more reliable. If one miner goes offline, there are plenty others to keep things running. We see all the cases of OpenAI’s ChatGPT going down and it's staggering!
Network effect:
Being part of a big network means companies can work together more easily, leading to more innovation. This is unprecedented.
Be Green:
It's potentially better for the planet since you're not overloading a few big data centers. Again it's just works better for everyone.
You Do You:
Companies have more control and can tweak things to suit their needs better, without being tied to one cloud provider's rules.
It's a no-brainer for anyone looking to save cash and still kill it in the AI game.
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Sitting at the intersection of #AI and #Blockchain, Foundry Accelerate brings access, awareness, and industry expertise to decentralized platforms. We are excited to announce the registration of our first subnet, the S&P 500 Oracle, incentivizing miners to make predictions on the S&P 500 price. Visit our GitHub page to start mining on our subnet. Looking forward to expanding our work with the @bittensor_ community!
https://t.co/HeHWw0cZ0b
"Exciting news! 🚀 Our team at #ZKTensorLab is thrilled to announce a collaboration with a pioneering #zkML project. Together, we're pushing the boundaries of privacy-preserving AI, ensuring data security without compromising on innovation.
https://t.co/zGUUEdjKAq
if you are building in decentralized AI and feel threatened by other protocols you succumbed to a loser mentality.
we all work with open endpoints, open to be integrated in creative ways.
We are not competitors, we are modular components that can leverage one another at will.