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Description: Abstract: In an era marked by exponential growth in artificial intelligence (AI) and machine learning (ML), the demand for data processing, storage, and computational power continues to escalate. Proto Algorithmic Language (PAL) is introduced as a novel framework that revolutionizes how AI systems communicate, process, and store data. Inspired by ancient cuneiform and integrated with advanced algorithmic principles, PAL encapsulates multi-layered meanings within singular symbols, offering unmatched compression and parsing capabilities. This white paper explores PAL’s four key stages of impact: compression of AI architecture, database storage, parameter representation, and parsing speed. The result is a potential reduction of data size by 90%, translating to significant savings in computational power, storage, and energy consumption. PAL’s transformative approach not only enhances the speed and efficiency of AI models but also democratizes technology by reducing resource barriers, fostering sustainability, and enabling innovative applications across industries. Keywords: AI, data compression, Proto Algorithmic Language, cuneiform, data processing, sustainability, machine learning, efficiency, symbolic language, innovation. Strategic Summary: PAL bridges the gap between historical symbolism and cutting-edge AI technology, introducing a new standard for data handling and communication. This paper provides a comprehensive breakdown of PAL’s development, from conceptual framework to real-world applications, highlighting its potential to redefine computational efficiency on a global scale. Early adoption and collaboration are encouraged to harness its full potential, promote sustainable practices, and push the boundaries of what AI can achieve.