paint-brush
Reasoning Breakthroughs in AI: DeepMind’s Geometry Problems vs. Tau’s Wide Scope Capabilities by@tau
995 reads
995 reads

Reasoning Breakthroughs in AI: DeepMind’s Geometry Problems vs. Tau’s Wide Scope Capabilities 

by TauMarch 15th, 2024
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

Unlike AlphaGeometry's mix of neural networks and logic, Tau uses a logic-based system, powered by its proprietary Tau Language, to build correct-by-construction software, applicable to an exceptionally wide scope of complexity and capable of reasoning over the sentences in Tau Language which, in turn, allows it to reason over the software itself. 
featured image - Reasoning Breakthroughs in AI: DeepMind’s Geometry Problems vs. Tau’s Wide Scope Capabilities 
Tau HackerNoon profile picture

The news around Google DeepMind's AlphaGeometry has captured the tech world's attention for its ability to tackle complex geometry puzzles, similar to the challenges at the International Mathematical Olympiad. However, there's another player in the field of artificial intelligence (AI) that stands out: Tau, a software development platform that takes AI reasoning to another level.

Tau vs AlphaGeometry: Correctness, Reasoning and Wider Complexity Scope

Unlike AlphaGeometry's mix of neural networks and logic, Tau uses a logic-based system, powered by its proprietary Tau Language, to build correct-by-construction software, applicable to an exceptionally wide scope of complexity and capable of reasoning over the sentences in Tau Language which, in turn, allows it to reason over the software itself.

AlphaGeometry: Google DeepMind's Approach to Geometry Puzzles

While AlphaGeometry's neurosymbolic approach has allowed it to tackle geometry problems with remarkable success, it is worth keeping in mind that since AlphaGeometry’s neural components learn from data, their behavior is inherently probabilistic and empirical. This makes formal proofs challenging, as neural network outcomes are based on generalization from training data rather than deterministic logic. As a result, the system's correctness is demonstrated through empirical validation and performance metrics, rather than formal proofs.

Introducing Tau: Beyond Geometry to Wide-Scope Reasoning in AI

Unlike AlphaGeometry's narrow focus on mathematics, Tau employs a logic-based approach designed for a wider scope of complexity and applications, from mission-critical systems to complex industrial software, and beyond. The method’s foundation lies in Tau Language – a novel temporal logic that extends the most powerful decidable knowledge representation languages and logics to describe states in the specification. Tau fundamentally transforms the traditional software development lifecycle by eliminating the need for formal verification and covering the entire development process from start to finish.


With Tau, users simply specify the software they want in logical sentences and these sentences, which are directly executable, are run as correct-by-construction software, with no translation to code in between. Since the resulting software perfectly adheres to the specifications, there is no need for formal verification. Tau detects contradictions in the specifications ensuring consistency and allows users to query the software’s behavior and receive accurate responses on its functionality and possible outcomes, making traditional validation simpler as well.

Tau’s approach, while based in formal methods, contrasts with the limited application of common formal methodologies in rigorous software development, which typically focus on specific segments rather than full-scale systems.

Tau Language: Expressiveness, Decidability, and Comprehensive Reasoning

The Tau Language is designed to be vastly expressive while retaining its decidability, especially in comparison to common specification languages. This enables users to specify a wider scope of desired functionalities with utmost precision and ensures the software developed with Tau is correct-by-construction, with the ability to give a formal proof of correctness.


Utilizing Tau Language also enhances the ability to reason over the entire software developed with it, including the real world knowledge expressed throughout the process. On a surface level, Tau resembles a collaboration platform where users discuss and describe the software they want using logical sentences. Tau flags contradictions and calculates the agreement in specification, which can then be approved by users to become the software. Since the software is comprised of sentences, not only the functionalities of the system but also all other knowledge, entered and derived during the development process can be reasoned over and queried for solutions to problems or answers to questions.


The Impact of Logic-Based Reasoning on the Evolution of AI

The development of reasoning capabilities in artificial intelligence marks a significant leap in AI's evolution. While AlphaGeometry might represent a significant advancement in geometry and mathematical reasoning, Tau's methodology offers wider applicability across domains and complexity in software development and real-world knowledge representation, positioning Tau as a key player in pushing the boundaries of AI reasoning beyond theoretical achievements and into practical, real-world applications.


Tau is on a mission to empower anyone to create correct and safe software that accurately serves collective human needs and transcends current technological boundaries. Learn more about how Tau is changing the future of tech here https://tau.net/