Without a doubt especially if done by people who speak those languages. We see that with @tokenizedsociety daily threadcast which is in Portuguese. @coyotelation is also adding Portuguese.
Language has a lot of dialect and nuances that are not always captured by translators. So having people posting in different languages is feeding not only content but training it on how people actually use the language.
True, a while ago I had seen some people starting a threadcast in Spanish, but it's been a while since it appeared again.
Having several languages here will help LeoAi a lot.
But we know that we still have a lot to feed the database.
LeoAI will do better if there is more training in the natural language of people instead of simply having what is in there translated into English.
Good to know. I will continue what I am doing. In addition to conversing in Portuguese both formally and informally, I am bringing several news in Portuguese.
The Tokenized threadcast has helped a lot to contribute to this.
It is a great way to add content in your native language.
That is what I do with #technology.
Yes it is true.
Speaking of technology, I'll visit your threadcast later.
I'm separating some things to send and after the launch of Optimus, Cybercab and Robovan, there are a lot of things to bring here.
There is a lot of things in from that presentation. People who can see past the next 90 days (stock market) and how things are right now, will be excited what they saw.
The big thing is robo-trucking. I did a video how the market for this is unlimited due to the fact robots are going to massively increase the amount of economic output. All of that has to be moved somehow.
This is why Tesla and NVidia will dominate the market.
If more people realize how much more these companies will grow in the future, the shares will skyrocket.
I still want to see you one day making shorts in one of those cars, Task. Tell us how it feels to ride in a Robovan being guided automatically.
The more the merrier. We need to feed the beast
Agreed.
I am diving as deep into this as quickly as I can. We need a lot more numbers on here. That is what machines understand (and gives them context) best.