🛠 The latest Development update Video is here! 🎥 https://youtu.be/kTXC9GgxEiE 👈 🔹Ohad continues collaborating with Professor Parys on the two-variable fragment project. He mentioned that the challenging aspects are mostly resolved, and they are now focusing on the actual algorithm. While the algorithm is correct, Ohad and his team are optimizing it to enhance its speed and efficiency, indicating ongoing efforts to refine and improve the project's core components. 🔹David, the lead developer on the core Tau language, conducted an extensive review of the Tau grammar with Ohad, implementing many suggested improvements. He refined Boolean algebra symbols, added conditionals, and redefined symbol priorities. On the normalizer aspect, he added tests, simplified rules, and enhanced the execution API, including a new command line executable for easier testing. David is also advancing the rewriting subsystem, adding to the API, improving the debugging framework, and implementing automatic source code documentation with Doxygen. The list goes on...! 🔹Andrei has been focusing on integrating LLM with Tau, facing challenges as anticipated by Ohad. He's exploring controlled natural language translation using LLM's as an interface for Tau. On the test net front, he's aligning its development with Tau for a cohesive integration in next year's release and working on a user-friendly wallet UI for the test net. 🔹Tomáš made significant progress on the Tau parser, resolving long-standing issues with negation and end of file, enhancing the Tau grammar format, and fixing bugs. He also developed Windows binaries for the Tau parser, simplifying usage for community members, and kept the documentation up-to-date with these changes. Additionally, he collaborated with David on the core Tau language, tackling various tasks, including compiler warnings, new tests, and updates to the Tau grammar. 🔹 Umar, our parsing guru, is contemplating the future roadmap of the parser in collaboration with Ohad. They focus on new features, optimizations, design refactoring, and balancing factors like garbage collection, memory efficiency, speed, and error reporting during forest generation.

🛠 The latest Development update Video is here! 🎥 https://youtu.be/kTXC9GgxEiE 👈 🔹Ohad continues collaborating with Professor Parys on the two-variable fragment project. He mentioned that the challenging aspects are mostly resolved, and they are now focusing on the actual algorithm. While the algorithm is correct, Ohad and his team are optimizing it to enhance its speed and efficiency, indicating ongoing efforts to refine and improve the project's core components. 🔹David, the lead developer on the core Tau language, conducted an extensive review of the Tau grammar with Ohad, implementing many suggested improvements. He refined Boolean algebra symbols, added conditionals, and redefined symbol priorities. On the normalizer aspect, he added tests, simplified rules, and enhanced the execution API, including a new command line executable for easier testing. David is also advancing the rewriting subsystem, adding to the API, improving the debugging framework, and implementing automatic source code documentation with Doxygen. The list goes on...! 🔹Andrei has been focusing on integrating LLM with Tau, facing challenges as anticipated by Ohad. He's exploring controlled natural language translation using LLM's as an interface for Tau. On the test net front, he's aligning its development with Tau for a cohesive integration in next year's release and working on a user-friendly wallet UI for the test net. 🔹Tomáš made significant progress on the Tau parser, resolving long-standing issues with negation and end of file, enhancing the Tau grammar format, and fixing bugs. He also developed Windows binaries for the Tau parser, simplifying usage for community members, and kept the documentation up-to-date with these changes. Additionally, he collaborated with David on the core Tau language, tackling various tasks, including compiler warnings, new tests, and updates to the Tau grammar. 🔹 Umar, our parsing guru, is contemplating the future roadmap of the parser in collaboration with Ohad. They focus on new features, optimizations, design refactoring, and balancing factors like garbage collection, memory efficiency, speed, and error reporting during forest generation.