How MeTTa Thinks Differently
In traditional programming languages like Python, we usually store data and then write code that knows how to use that data. Knowledge and logic are separate.
For example, to represent that Socrates is a human, we might write:
Python
Or using classes:
In MeTTa, you don't think in terms of variables, dictionaries, or classes. You simply state the knowledge itself.
MeTTa
That's it.
The expression directly represents the fact "Socrates is a Human." There is no dictionary to look up or class to instantiate. MeTTa treats knowledge as relationships and facts, making it much more natural for reasoning and AI systems.
In traditional programming languages like Python, we usually store data and then write code that knows how to use that data. Knowledge and logic are separate.
For example, to represent that Socrates is a human, we might write:
Python
facts = {
"Socrates": "Human"
}
print(facts["Socrates"]) # HumanOr using classes:
class Human:
pass
socrates = Human()
In MeTTa, you don't think in terms of variables, dictionaries, or classes. You simply state the knowledge itself.
MeTTa
(Human Socrates)
That's it.
The expression directly represents the fact "Socrates is a Human." There is no dictionary to look up or class to instantiate. MeTTa treats knowledge as relationships and facts, making it much more natural for reasoning and AI systems.
MeTTa at first might look confusing but trust me you'll get used to it
and there are AI agents like Omegaclaw mostly developed using MeTTa
and there are AI agents like Omegaclaw mostly developed using MeTTa
btw who u supporting today 😃
Anonymous Poll
29%
Spain 🇪🇸
41%
Belgium 🇧🇪
24%
I'm neutral 🤝
6%
I don't watch football 🤡
So I just bought credit on GCP(Google cloud provider) 💪 and im gonna host my projects there.
I will let u know how it goes. good bye free tier😘
I will let u know how it goes. good bye free tier😘
❤🔥1🔥1
Omega Codes
So I just bought credit on GCP(Google cloud provider) 💪 and im gonna host my projects there. I will let u know how it goes. good bye free tier😘
Now Ethiolink is up and working again as I told you I used GCP to deploy it 💪
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How i did it?
EthioLink have to things one a server to accept http requests from users for profile customization and a worker always listens for jobs in different places
So I separated them into two components
1,Deployed on Cloud Run. Handles user interactions with the bot subscription checks, category/job-type/experience preferences, all saved to the DB. Fully serverless, scales automatically, webhook connected directly to Telegram.
2,Runs on a dedicated Compute Engine VM as a persistent background daemon (managed by systemd, so it auto-restarts and survives reboots). Listens across many source channels, rewrites , posts to the main channel, and DMs matched subscribers based on saved preferences.
Infra
Single Docker image, pushed to Artifact Registry, run two different ways for the two components. Same setup will host future projects too.
EthioLink have to things one a server to accept http requests from users for profile customization and a worker always listens for jobs in different places
So I separated them into two components
1,Deployed on Cloud Run. Handles user interactions with the bot subscription checks, category/job-type/experience preferences, all saved to the DB. Fully serverless, scales automatically, webhook connected directly to Telegram.
2,Runs on a dedicated Compute Engine VM as a persistent background daemon (managed by systemd, so it auto-restarts and survives reboots). Listens across many source channels, rewrites , posts to the main channel, and DMs matched subscribers based on saved preferences.
Infra
Single Docker image, pushed to Artifact Registry, run two different ways for the two components. Same setup will host future projects too.
👍2🔥1
So today the long waited debate will be settle down right? 😃
Saka or Messi
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