Avi Loeb compares comet experts to AI systems trained only on icy rocks, reflexively interpreting any new object as such. He argues they must expand their mental 'training dataset' to include technological possibilities to avoid misidentifying artificial objects, like NASA did with a Tesla Roadster.
The comet 3I/ATLAS spreads methanol, a building block for life. Loeb posits this could be evidence of panspermia, but takes it further, suggesting it could be a deliberate act. An 'interstellar gardener' with intelligence could be using such objects to seed or experiment with life across the galaxy.
Loeb warns against the scientific heuristic that 'if it looks like a duck, it's a duck.' He argues that an advanced technological object could mimic natural phenomena, like a car creating a dust cloud similar to an animal. Relying on superficial resemblance could cause us to miss signs of intelligence.
Lee Cronin's Assembly Theory offers a way to find alien life by quantifying molecular complexity. Using mass spectrometry, scientists can search for molecules with a high 'assembly index,' a clear signature that they were constructed by an evolutionary process rather than random chemistry.
Loeb speculates that encountering a vastly more advanced intelligence will evoke a sense of awe and humility akin to that inspired by traditional religions. For a secular world, this discovery could provide a new, tangible 'superhuman entity' to learn from, replacing faith with observation.
Avi Loeb argues that the scientific mainstream has not yet grasped the opportunity presented by interstellar objects. Instead of spending billions of years traveling to other stars, we have materials from them arriving in our 'backyard.' Analyzing these objects is a low-cost way to search for the building blocks of life elsewhere.
Loeb reframes the Fermi Paradox ('Where is everybody?') as a premature question born from inaction. He argues we cannot claim aliens don't exist until we've seriously invested in the search, comparing the situation to the multi-billion dollar hunt for dark matter. Without funding, ignorance is a self-fulfilling prophecy.
To make genuine scientific breakthroughs, an AI needs to learn the abstract reasoning strategies and mental models of expert scientists. This involves teaching it higher-level concepts, such as thinking in terms of symmetries, a core principle in physics that current models lack.
Instead of subscribing to Hollywood's vision of aliens, Avi Loeb’s Galileo Project takes a data-driven approach. It uses AI to first catalog familiar objects (birds, planes, satellites) to create a baseline, then systematically searches for outliers in appearance, speed, or acceleration that defy known physics.
Loeb presents a practical critique of searching for Dyson spheres. He calculates that such a megastructure couldn't survive asteroid impacts for more than a billion years. This suggests we are more likely to find its fragments—like 'Oumuamua, he speculates—than an intact, active megastructure.
The reason we don't see aliens (the Fermi Paradox) is not because they are distant, but because our spacetime interface is designed to filter out the overwhelming reality of other conscious agents. The "headset" hides most of reality to make it manageable, meaning the search for physical extraterrestrial life is fundamentally limited.