3/3🧵 Curious about Gemini's impact on Google products and its showdown with ChatGPT? Dive into the details in my latest blog post:
https://inleo.io/@thorkellnft/google-launches-gemini-your-new-ai-best-friend
3/3🧵 Curious about Gemini's impact on Google products and its showdown with ChatGPT? Dive into the details in my latest blog post:
https://inleo.io/@thorkellnft/google-launches-gemini-your-new-ai-best-friend
I am actually optimistic about Gemini. Google is not going to be left out of this race and, when it comes to data, hard to beat them.
I think Geminis will mark a before and after, Google's advantage is that it has an entire ecosystem to integrate its AI and there is plenty of data, I hope it remains free even if they launch paid versions.
Yes. Google is pretty good about keeping a lot of stuff free. They understand the platform concept and keeping people in the platform.
Of course, we need to keep building LeoAI to have a growing AI feature on Leo.
If Leo manages to integrate an AI that offers several of these services it would be great and the other thing is that it would have constant traffic which would be very good for the platform. I love the idea of a decentralized AI, the other day I published something about it, I think it would be something absolutely good for everyone.
Khal said LeoAI was trained on 1M threads. When LeoNode goes live it will be able to handle blog posts. This will help feeding the machine learning engine.
We simply need to keep adding more data to it but it does have potential. Not sure what will be offered but it will be a part of premium.
That's great, the good thing is that the model will have access to a large amount of data, of course I don't know what idea they have, nor what they plan to implement, but they have many possibilities in their hands to exploit.
No I dont know either. But we have to use the data we have. Perhaps it will stimulate more data creation, especially on Threads when people wake up to the fact of what is taking place.
This is why databases are crucial. We need to build the data for the LE to train on.