{"id":3506,"date":"2025-05-16T11:02:27","date_gmt":"2025-05-16T16:02:27","guid":{"rendered":"https:\/\/capertongillett.com\/blog\/?p=3506"},"modified":"2025-05-16T11:02:27","modified_gmt":"2025-05-16T16:02:27","slug":"creativity-cage-match-the-human-brain-vs-chatgpt","status":"publish","type":"post","link":"https:\/\/capertongillett.com\/blog\/creativity-cage-match-the-human-brain-vs-chatgpt\/","title":{"rendered":"Creativity cage match: The human brain vs. ChatGPT"},"content":{"rendered":"\n

So.<\/p>\n\n\n\n

In a previous post, I addressed the question of whether it matters if content was written by ChatGPT<\/a> and came up with the bold, definitive answer of \u201csometimes no, sometimes yes.\u201d (Count on me for the hottest of takes.) And central to that was the way the human brain functions \u2014 that thought leadership can\u2019t be produced by an algorithm incapable of thought.<\/p>\n\n\n\n

There\u2019s a lot to that last part, right down to the fundamental structures and functions of LLMs and of the human brain that make us distinctly different. So sit with me for a minute as we talk about how LLMs work, how the brain works, and why it matters a lot.<\/p>\n\n\n\n

LLMs (like ChatGPT)<\/h2>\n\n\n\n

A quote-unquote \u201cneural network\u201d inspired by a kind of outdated, simplistic concept of how neurons fire and connect in the human brain.<\/p>\n\n\n\n

How it works<\/h4>\n\n\n
\n
\"A
Fig. 1: The competition.<\/figcaption><\/figure>\n<\/div>\n\n\n

ChatGPT, and all its large-language-model cousins (Gemini, Pilot, all \u2018em), are a math problem.<\/p>\n\n\n\n

I mean, they\u2019re all very, very, fancy, advanced math problems, but still. An LLM predicts, based on patterns and relationships derived from a training set comprising tens of millions of documents scraped from the internet, what the next word should be in a sequence of words in response to a given prompt. That\u2019s it.<\/p>\n\n\n\n

I cannot overemphasize the extent to which ChatGPT is an advanced algorithm that\u2019s really, really, really, really, really good at guessing what word should come next in a sentence.<\/p>\n\n\n\n

So, by definition, an LLM can\u2019t come up with any novel thought. It can\u2019t think, and it can\u2019t\u2026 novel. It can only assemble words based on thoughts actual people have had. (Well, mostly<\/em> just people, but Habsburg AI<\/a> is for another post.) There\u2019s no uniqueness \u2014 only patterns. So if you want to use ChatGPT to produce new, creative ideas, you\u2019re out of luck \u2014 LLMs can only give you remixes of what\u2019s already there.<\/p>\n\n\n\n

Hallucination<\/h4>\n\n\n\n

When we talk about ChatGPT hallucinating, it\u2019s frequently in terms of \u201cmaking stuff up,\u201d which is both accurate and an understatement because the fact is, ChatGPT makes everything<\/em> up. Right, wrong, deceptively plausible, it\u2019s all<\/em> made up, in the sense of being assembled using math. The words and it maths together are right far more often than they\u2019re wrong, but it\u2019s all<\/em> just words mathed together.<\/p>\n\n\n\n

Why did Gemini precursor Bard whiff on a question about the James Webb telescope<\/a>? Why did AI priest Father Justin recommend baptizing babies with Gatorade<\/a>? Because when Bard was sifting through hundreds of headlines about the JWT taking its<\/em> (not the<\/em>) first photos of an exoplanet<\/a>, and when Papa J\u2019s training set was full of sports stories wherein winning coaches are \u201cbaptized\u201d with Gatorade<\/a>, it was inevitable the math would pick up on wrong patterns and assemble wrong information.\u00a0<\/p>\n\n\n\n

And that\u2019s also a reason to be cautious about AI-powered searches. While search AIs are cool because they can draw from search engine results and not just a fixed training set, the last step is always mathing together the answer it will provide as a response to your question. So it can still be wrong. It can even provide links to pages that don\u2019t actually say what the AI is saying they say. You still have to fact-check any AI search results just as you\u2019d fact-check any content it wrote for you.<\/p>\n\n\n\n

\u201cTrust but verify,\u201d except for the \u201ctrust\u201d part.<\/p>\n\n\n\n

The Human Brain<\/h2>\n\n\n\n

A for-real, actual neural network made up with billions of interconnected neurons generating actual, for-real thought.<\/p>\n\n\n\n

How it works<\/h4>\n\n\n
\n
\"A
I have no idea of why or what the hell, but it came up in a stock image search and if I had to see it, so do you.<\/figcaption><\/figure>\n<\/div>\n\n\n

Woof. If I could explain in any comprehensive yet comprehensible way how the brain works, I wouldn\u2019t be selling hand-knitted baby blankets as a side hustle. But for current purposes, we\u2019ll just look at the functions of storing data and generating ideas.<\/p>\n\n\n\n

The brain creates memories by creating new connections between neurons<\/a> \u2014 your brain literally reforms and remaps itself every time you experience a new thing. And with \u2018roundabout 100 billion neurons in your brain, that makes for zillions of different, and ever-changing, connections. Those memories are stored in regions all over the brain, depending on the type of memory. It\u2019s a big, complicated thing.<\/p>\n\n\n\n

And the brain creates ideas by engaging all those regions<\/a>, activating the parts that handle decision-making and problem-solving, emotions and motivations, storing and retrieving memories, even spatial orientation and visual processing, all at once. The act of being creative can actually help you become more creative \u2014 it re-wires your brain in a way that makes you see the world differently, so you can build even more connections that make you even more creative.<\/p>\n\n\n\n

In short: Everything you experience, everything you learn, every memory you create, and every thought you have rewires and remaps your brain in a way that\u2019s totally unique to you. Your mom always told you you\u2019re special, and she wasn\u2019t wrong.<\/p>\n\n\n\n

Hallucination<\/h4>\n\n\n\n

Ayahuasca?<\/p>\n\n\n\n

What It All Means<\/h2>\n\n\n\n

ChatGPT can produce informative, instructive, and even entertaining content. You\u2019ll need to fact-check it, of course, because shockingly, the automated making-things-up machine is known for making things up. And you\u2019ll want to do some editing to take the edge off any trite or robotic language or structures. But ChatGPT definitely has its place in content writing \u2014 if used properly and only for the things it\u2019s designed to do.<\/p>\n\n\n\n

But only the human brain can come up with novel ideas, insight, and creativity. This isn\u2019t the dying plea of a creative as she watches the robots pillage her industry, it\u2019s a physiological fact: That ever-growing, ever-changing network of billions of neurons packed into that three pounds of wrinkly squish between your ears is the only thing that can generate thoughts like yours.<\/p>\n\n\n\n

Even an LLM trained on your writing can\u2019t generate your insights, because all it\u2019s doing is mathing your words together. It can write like you, but it can\u2019t think like you. It doesn\u2019t have access to all the ideas you weren\u2019t even aware of having and memories you don\u2019t even remember making but have nonetheless impacted the way you look at the world.<\/p>\n\n\n\n

If an insight depends on personal experience, knowledge, instinct, and inspiration, only a brain can do that. If an idea needs to be unique and creative, only a brain can do that. If content is being presented as the ideas and insights and thought leadership of a particular person, only their brain can do that. <\/em>ChatGPT can make you an outline, it can polish your grammar, it can even chat you through a bout of writer\u2019s block, but it can\u2019t think for you. It can\u2019t think at all.<\/p>\n\n\n\n

ChatGPT and human brains don\u2019t have to compete. There\u2019s no reason to compete, because they do different things. With continuous developments in LLM technology, it would be silly not to take advantage of capabilities that can make our job easier. But it would also be silly to disregard the necessity of for-real, human-brain insight at the heart of our message for truly unique, effective content \u2014 not just sometimes, but every time. At least until AIs become capable of independent thought, in which case we have a whole other problem entirely.<\/p>\n\n\n\n

I, for one, welcome our new robot overlords.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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