The potential of AI in reading ancient languages is promising, challenges remain. Many ancient languages lack comprehensive datasets for training AI models, and validation from human experts is crucial to ensure accuracy. As researchers continue to refine these technologies and collaborate with linguists and historians, we may see even greater breakthroughs in understanding our ancient past.

 AI is proving to be a powerful tool for deciphering ancient languages, offering new methods for translating and interpreting historical texts that were once considered indecipherable.

Researchers have employed generative AI models, such as those based on the Transformer architecture, to assist in translating ancient scripts. For instance, a team at the University of Oxford successfully used AI to decrypt Linear B, a script from the Mycenaean civilization, by predicting meanings of previously untranslated symbols based on known translations

Projects like the Electronic Babylonian Literature initiative have harnessed machine learning algorithms to piece together fragments of ancient texts. By training on already translated components, these algorithms can predict missing sections, enabling discoveries related to texts like the Epic of Gilgamesh

AI systems like Deepscribe have been developed to analyze images of ancient texts directly. This system achieved around 80% accuracy in transcribing Elamite texts from the Persepolis Fortification Archive, demonstrating the potential for real-time translation capabilities

Advanced models, such as Deepmind's Ithaca, have been trained on thousands of ancient Greek texts to restore damaged manuscripts with notable accuracy. This model could predict the date and region of texts with impressive precision, showcasing AI's ability to enhance historical research  , However if AI is able to decipeher ancient languages then it can also bring back the ancient world. If you know how Egyptians pyramids are built you can built it again.