Machine learning models / LLMs excel at patterns but will never offer logical correctness for non-trivial/complex problems. I'm excited about formal software synthesis from logical requirements, where correctness is guaranteed by construction rather than hoped for.

Community Demo Showcase - Featuring l0g1x 👏 l0g1x has added several Tau Language programs to their GitHub repository below, including ones for addition, subtraction, and multiplication.

Q: Andrei, what is the list of initial external libraries that will be necessary for the Tau Net Testnet? Will users be able to add additional libraries over time or as needed? ~ D.#dwards Tau Net Tau $AGRS tau.net

Tau Language is the first language where code can reason about future code before it runs. Building Software and Apps that auto adapt to users: - Guarantees Safety through Logical Guardrails Automatically prevents executing commands that contradict predefined safety constraints,

While machine learning models and LLMs are exceptional at recognizing patterns, they fall short when it comes to providing logically sound solutions for intricate or complex issues. Modern software and network development increasingly demands reliability. Tau steps in with

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Specifications > Code. Code is a lossy artifact of communication. As AI advances, those who can precisely communicate their intent (via spec) become the most valuable programmers. Tau Language is the best logic for writing executable specs that replace imperative programming.

Current AI coding, vibe or otherwise, fundamentally cannot distinguish between "helpful code generation" and "catastrophic data destruction" It operates on statistical patterns, not logical understanding. Tau's Reactive Synthesis eliminates uncertainty with...