@propfirmeye@anaskenderska Ftmo doesn't ban traders for taking 1% risk if you read their faq they recommended to take risk between 1 to 1.5% , it doesn't directly ban you for risking more than 1% but if you continually risking like 2 or 3% risk per trades than yes they would probably reduce your leverage
I was an unprofitable trader for 4 years
Mainly because I listened to the LIES told to me by trading gurus
Here are the 8 biggest lies told in trading that are keeping you unprofitable:
@Umairorkz It depends on age!
1 million dollars at age 20 is far better than 100 million dollars at age 40,
For me , My initial desire is 10 million dollars at age 23.
I can grow it to 50 million dollars in 5 year easily ;)
But right now i only have 10$ with me hehe :)
When talking about impact velocity you can't fade @ThankArbitrum !
In under a year they funded dozens of projects and probably hundreds of people wordlwide🌎
If this helped you grow your project and provide value to Arbitrum you should consider delegating to @DisruptionJoe 💪
In Case You Missed It:
Yesterday, we announced that users can now link Solana wallet addresses to their Grass accounts. For a few reasons, this is a momentous occasion not just for Grass, but for the entire AI industry. Our plan has always been to completely revolutionize the development of artificial intelligence, and here’s why this is so important:
As you know, Grass is a network that provides AI data to developers. When data is scraped from the web, it has to be routed through the internet connection of a specific node. If you’re a Grass user, this is what you’ve been doing all along. Now, when you connect your wallet on the dashboard, a Solana address will be linked to your particular node ID.
So why does that matter?
1. This will allow people to be rewarded proportionate to the amount of resources they've contributed to the network
One thing the upcoming Grass infrastructure will be able to do is keep track of which node scrapes which data from the web. Then, whenever this data is used in AI inference or training, there will be a proven lineage that links scraping actions to datasets. When we have a wallet address associated with each node, we’re then able to distribute the value of AI back to the exact node that provided the data.
This is a step towards a fully decentralized method of tracking resource usage. These records are beyond the ability of any company to manipulate or obscure, and that means a more fair and equitable AI where individual people can actually earn a stake.
And considering you're already providing companies with these resources free of charge (1), the only difference is you'll actually be rewarded for it.
2. It will lay the groundwork for viewing the provenance of all AI training data, bringing a level of transparency to AI that has never before been possible
With this functionality in place, the network won’t just be keeping track of which node scraped which dataset. It will also keep track of the specific origin of the dataset itself - where exactly the data came from on the web. The moment a dataset is scraped, the network will automatically compile metadata about its origin along with the node that scraped it, to be batched and settled on-chain - a permanent record of data provenance. This is a capability that no other data provisioning solution has ever had, and we believe it is the missing link in solving the biggest problems facing AI today.
3. This will make AI less opaque and biased, while simultaneously making it less concentrated in the hands of the few
Think of the biggest problems currently affecting AI. For developers, there’s no way to be sure a dataset you’re using hasn’t been poisoned, short of going back and scraping it yourself to make sure. For users, there’s no way to tell whether an agent you’re interacting with is biased, without seeing what data the developer decided to train it on. And for everyone, we run the risk of a tiny number of companies dominating AI and forming a monopoly on the most important technology of all time.
Grass is designed to solve all of these problems. When a developer can verify beyond a shadow of a doubt that a dataset came directly from the place it was supposed to come from, they no longer need to worry about data poisoning. When this information can be made public for individual models, the users who engage with them can know beyond a shadow of a doubt whether they’re being presented with legitimate information - or fake news. And most importantly, when a system is created for distributing the value of AI to the millions of people who collectively operate a network, rather than a small handful of Big Tech companies, we can all work together to make it fairer and less exploitative.
And that’s not all. In addition to the positive impact Grass is having on the acquisition of training data, it's also breaking technological barriers with the introduction of Live Context Retrieval. This refers to scraping data in real time, to provide context for LLMs at the point of inference. This is a capability currently in development that does not exist anywhere else, and we’ll be releasing more information about it soon.
We believe that a better world is possible and the future is right in front of us. There is still time to save AI, and we are committed to doing so. The mission is underway. So to all of our users, thank you for seeing the vision and thank you for touching Grass.
References:
1. https://t.co/dfJHOdkzF6