https://www.scientificamerican.com/article/artificial-intelligence-will-let-humanity-talk-to-alien-civilizations/
Artificial Intelligence Will Let Humanity Talk to Alien Civilizations
JULY 20, 2024
Artificial intelligence mania has overtaken our economy and will soon expand beyond Earth to become omnipresent in spacecraft as well. It’s worth asking, what does this mean for the search for extraterrestrial intelligence?
Just like on Earth, AI promises a rethinking of long-cherished hopes for space exploration, such as finding that we are not alone in the universe.
AI’s advances explain this ambition. Introduced in 2017, the “transformer” neural network architecture has become the cornerstone of today’s large language models (LLMs).
Trained on Internet-scale datasets, these models contain vast human knowledge and are changing our world. They will affect nearly 40 percent of global employment, according to the International Monetary Fund (IMF).
Could this technology help us communicate with hypothetical advanced civilizations elsewhere? SETI, the search for extraterrestrial intelligence, has been around as long as METI, messaging extraterrestrial intelligence, the aim of which is to attempt to find and communicate with extraterrestrial civilizations.
But after 40 years of serious search we have not found such ET intelligence, and our messages remain unanswered. We cannot conclude that we are alone in the galaxy, given its vastness and our nascent search efforts. It may be time to radically rethink our approach, however.
As alien-curious scientists, we propose advancing METI by transmitting not just music, math or brief descriptions of ourselves but something more meaningful: a well-curated large language model that encapsulates the diverse essence of humanity and the world we live in.
This would enable extraterrestrial civilizations to indirectly converse with us and learn about us without being hindered by the vast distances of space and its corresponding human lifetime delays in communication.
Aliens could learn one of our languages, ask the LLM questions about us and receive replies that are representative of humanity.
This is a radical and potentially risky idea because unfriendly aliens could misuse this information. Nevertheless, it’s a discussion worth starting, given recent discoveries.
Space telescopes such as Kepler and the Transiting Exoplanet Survey Satellite (TESS) have revealed that our galaxy is full of exoplanets, and it’s estimated that at least 300 million are similar to Earth and potentially harbor liquid water.
We believe that several of these worlds could host technological civilizations curious to meet us and learn about us.
Astronomer Frank Drake, the father of SETI and METI, understood that our galaxy could host other technological civilizations. He initiated Project Ozma in the 1960s, listening to two nearby stars, and later led the development of the Arecibo message in 1974.
This message included basic mathematical and chemical data, a depiction of DNA and information about the human population, our solar system and our technology.
Comprising only 1,679 binary digits, the message was inspired by the pixelated screens of early personal computers.
If Drake were alive today, he would no doubt recognize AI’s potential to enhance communication with extraterrestrial intelligences.
For interplanetary communication, smaller, open-source language models, such as Meta’s Llama-3-70B and Mistral AI’s Mixtral 8x22B, would allow for training with curated datasets.
Typically Llama-3-70B is around 130 gigabytes in size, which is a bit hefty to transmit across light-years without errors.
With a technique called quantization, however, we could squeeze it into a few gigabytes while maintaining its performance.
Crucially for interstellar communication, it would allow the AI to run on its own without an Internet connection.
Assuming we want to send these LLMs to extraterrestrials, we have two primary technologies: radio communication, which is broad and slow, and laser communication, which is directional and fast. By radio, NASA’s Lunar Reconnaissance Orbiter achieves data-transmission rates of up to 100 megabytes per second (Mbps) for downlink.
That means it would take about half hour to transmit the entire full-size Llama-3-70B model to the moon.
The Lunar Laser Communications Demonstration has achieved data rates of 622 Mbps, which would reduce the transmission time to about five minutes.
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