Refusing to reduce complex reality into slogans and clichés since 19XX

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Cake day: September 15th, 2026

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  • Bold claim considering there is no agreed upon definition on what we even mean by the term intelligence.

    • The ability to acquire, understand, and use knowledge.
    • the ability to learn or understand or to deal with new or trying situations
    • the ability to apply knowledge to manipulate one’s environment or to think abstractly as measured by objective criteria (such as tests)
    • the act of understanding
    • the ability to learn, understand, and make judgments or have opinions that are based on reason
    • It can be described as the ability to perceive or infer information; and to retain it as knowledge to be applied to adaptive behaviors within an environment or context.



  • AI isn’t any one thing. It’s an broad term used in computer science to refer to any system designed to perform a cognitive task that would normally require human intelligence. The chess opponent on an old Atari console is an AI. It’s an intelligent system - but only narrowly so. That’s called “narrow” or “weak” AI.

    It can still have superhuman abilities, but only within the specific task it was built for - like playing chess or generating language.

    A large language model like ChatGPT is also narrow AI. It’s exceptionally good at what it was designed to do: generate natural-sounding language. What people expect from it, though, isn’t narrow intelligence - it’s general intelligence. The ability to apply cognitive skills across a wide range of domains the way a human can. That’s something LLMs simply can’t do - at least not yet. Artificial General Intelligence is the end goal for many AI companies, but LLMs are not generally intelligent. However they still fall under the umbrella of AI as a broad category of systems.