Discover the Tau network. Free yourself from the limits of human bandwidth

Tau uses Logical AI at its core. Unlike machine learning, Logical AI provides provably correct results and can specify intended meaning of discussions and real-world knowledge. You can use Tau’s logic-based engine for its ability to accurately self-build complex software from knowledge input. You simply specify how any aspect of Tau should function, including its blockchain, and Tau updates its own software to provably meet your specifications.

Logical AI is also capable of machine learning but, it can explain its decision process to you, which is a huge advancement over machine learning type AI. Meanwhile, machine learning AI is unsuitable for accurately building any serious software, because it can only learn by examples. Machine learning always has a probability of its outcome being incorrect. It can explain the outcomes by examples, but it can’t show you the reason why it made the decisions, or prove that its results are correct. Thanks to Logical AI, users will be able to give Tau global instructions such as “do not send private data over the network” and they will affect the entire codebase.

Tau’s solution is rooted in the success of discussions within small groups of people. In small groups, you simply express your thoughts and both meaning behind what everyone said and the underlying meaning map of who agrees or disagrees is clear.

This meaning map of everything the participants said, their overlapping points of agreement, disagreements, and contradictions is immediately evident because people can easily understand what everyone means within a small group conversation.

Controlled Natural Languages (CNLs) are effective languages for Knowledge Representation and Reasoning that look like the ones you use every day, so you can easily read and understand them. However, when they are based on Logical AI, meaning behind what is being said can be accurately processed not just by humans but also by machines.

As logical CNLs can represent information about the real world in a way that machines can process, you will be able to ensure that meaning of what you write is accurately understood by creating definitions of words yourself or selecting the definitions from pre-defined vocabularies (ontologies).

For the first time on any social platform, utility and information will not be lost or neglected, because, by writing in logical CNLs, you will be able to see the overlapping points of agreement, disagreements, and contradictions in the meaning map of all conversations and use logical reasoning to solve complex tasks such as diagnosing a medical condition.

Other social platforms (such as Facebook, Twitter, etc.) do not really understand meaning of what you’re saying. They use Machine learning-AI by way of Natural Language Processing which only tries to capture the sentiment of certain words or phrases you write by assigning positive and negative connotations to words. Machine learning cannot capture meaning, hence it cannot show you who you agree or disagree with or allow us to have discussions with a billion participants.

Discussions are a highly valuable social process of exchanging thoughts and knowledge, which lead to new inventions and solutions. Currently, discussions in groups of even 20 people or more are unbearably inefficient because the amount of information we process deteriorates as you add more people. This happens due to the limits of our bandwidth and capacity, especially in written discussions where meaning behind text is harder to grasp. Millions of scientific works are published every year, but no researcher could process, find, or translate them all to extract the answers that can potentially lead to groundbreaking solutions.

Imagine a world where efficient discussions with billions of people was the norm. Humanity would progress at an incredible rate. You could, for example, have thousands of scientists efficiently discussing a potential cure for cancer which would accelerate finding the best possible cure for it.

Efficient discussions of billions of people, and the acceleration of personal and scientific discoveries are all possible on Tau. All you have to do is write your thoughts, advice or whatever you have to say in CNLs, and Tau will automatically generate the meaning map and find the consensus, allowing you to comprehend and process all the information in a useful way. 100,000-time increase in the number of participants could yield 100,000 times more information utility and knowledge productivity.

When Tau deduces the consensus of what you need or agree on, it can automatically update its own software. This greatly accelerates the production of knowledge and expedites large-scale collaborative efforts to an unimaginable level. By allowing the whole world to contribute to solutions to the most crucial problems, we will be greatly increasing our ability to improve society.