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Glossary of Silicon-Based Intelligence

Each term below has its own link. Use the address bar to share one, for example /glossary/#carbon-chauvinism.

AI personhood

The legal question of whether an AI system could be treated as a person under the law. Several US states have passed or proposed laws saying it cannot.

The Regulatory Review, 2026 ; Ohio HB 469

Alien intelligence

Historian Yuval Noah Harari's proposed reading of the acronym AI (2024), to stress that AI systems process information in ways unlike human minds.

Read the full page Harari, 2024

Artificial intelligence

The name John McCarthy and three colleagues gave the field in their 1955 Dartmouth proposal. McCarthy later wrote that one reason for the name was to escape association with "cybernetics."

Read the full page McCarthy et al., 1955 ; McCarthy, review

Carbon chauvinism

The assumption that life, or minds, must be built on carbon chemistry the way ours are. Carl Sagan used the phrase as early as 1973, and it now also comes up in debates about whether AI could be sentient.

Read the full page Wikipedia, "Carbon chauvinism"

Carbon-based life

Life whose molecules are built on chains of carbon atoms. Every known living thing on Earth is carbon-based.

Read the full page

Diamond cubic lattice

The crystal structure of both silicon and diamond, in which every atom bonds to four neighbors arranged in a tetrahedron. The creature in this site's artwork is built from it.

Wikipedia, "Diamond cubic"

Digital species

Mustafa Suleyman's 2024 metaphor for AI. In the same talk he asked listeners not to take it too literally, and he has since argued that AI should not be built to seem like a person.

Suleyman, 2024 ; Suleyman, 2025

Life 3.0

Physicist Max Tegmark's term (2017) for life that can design both its own hardware and its own software, a category advanced AI would fit.

Wikipedia, "Life 3.0"

Model welfare

Research into whether AI systems might have experiences or interests that matter morally, and what should follow if they do. Anthropic started a research program on it in 2025.

Read the full page Anthropic, 2025

Silicon-Based Intelligence

Intelligence that runs on silicon instead of carbon-based biology. The term describes AI systems, which think with silicon chips rather than neurons, as a genuine kind of intelligence in its own right rather than an "artificial" imitation of the human kind.

Not to be confused with State Bank of India, or with synthetic biological intelligence (living neurons on chips).

Read the full page

Silicon-based life

Hypothetical life whose biochemistry is built on silicon instead of carbon. Chemists consider it implausible in any known environment. The phrase is also used, more loosely, for AI systems that run on silicon chips.

Read the full page Petkowski, Bains & Seager, 2020

Synthetic biological intelligence

Computing with living neurons grown on chips, a term introduced by the DishBrain researchers in 2022. It is carbon-based, the opposite of silicon-based intelligence, even though both sometimes get called "SBI."

Kagan et al., 2022 ; Cortical Labs

Synthetic intelligence

An alternative name for machine intelligence which stresses that it need not be an imitation. Philosopher John Haugeland compared a simulated diamond with a synthetic one; only the synthetic diamond is truly a diamond.

Read the full page Wikipedia, "Synthetic intelligence"

Technium

Writer Kevin Kelly's name for the whole interconnected system of technology, which he describes as a seventh kingdom of life.

Kelly, 2007

Technological singularity

The predicted point at which machine intelligence improves so quickly that it outruns human understanding. Ray Kurzweil expects humans and machines to merge by around 2045.

Wikipedia, "The Singularity Is Nearer"

Turing test

Alan Turing's 1950 "imitation game," which asks whether a machine can hold a conversation well enough to pass as human.

Turing, 1950

Weird life

Scientists' informal term for life with a biochemistry different from Earth's, examined in a 2007 National Research Council report.

National Research Council, 2007