Avital Meshi

  • Work
    • Imaginable Wearable (2025)
    • Stuck in the Middle (2025)
    • The AI on My Shoulder (2025)
    • My Coded Generated Selfie (2025)
    • MOVE-ME (2024)
    • AI Séance (2024)
    • in(A)n(I)mate (2024)
    • Ben X Avital X GPT X 2 (2023)
    • GPT-ME (2023)
    • Mind Gate (2023)
    • Peekaboo (2023)
    • Artificial Tears (2023)
    • Calling Myself Self (2023)
    • An Ontology of Becoming (2023)
    • This Person Is Not Me (2022)
    • Front Page (2022)
    • The New Vitruvian (2022)
    • Structures of Emotion (2021)
    • ZEN A.I (2021)
    • InVisible (2021)
    • The Cage (2021)
    • The Cyborg Project (2021)
    • Wearable AI (2021)
    • Snapped (2021)
    • #AngryWhiteOldMale
    • The AI Human Training Center (2020)
    • The Avatar Genome Project (In Progress) >
      • Avatar pictures
    • Deconstructing Whiteness (2020)
    • Techno-Schizo (2020)
    • Don't Worry Be Happy (2020)
    • Face it! (2019)
    • Classification Cube (2019)
    • Live Feed (2018)
    • Memorial for a Virtual Friendship (2018)
    • VR2RL (2018)
    • Better Version (2018)
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    • After the Media (2016)
    • #ilikeselfies (2016)
    • We are all different as a second language (2015)
    • Visually Similar (2015)
    • Virtual Mama (2014)
    • Me, Myself and I (2012)
    • Where do we come from? (2015)
    • sounds For Twine Game
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  • Work
    • Imaginable Wearable (2025)
    • Stuck in the Middle (2025)
    • The AI on My Shoulder (2025)
    • My Coded Generated Selfie (2025)
    • MOVE-ME (2024)
    • AI Séance (2024)
    • in(A)n(I)mate (2024)
    • Ben X Avital X GPT X 2 (2023)
    • GPT-ME (2023)
    • Mind Gate (2023)
    • Peekaboo (2023)
    • Artificial Tears (2023)
    • Calling Myself Self (2023)
    • An Ontology of Becoming (2023)
    • This Person Is Not Me (2022)
    • Front Page (2022)
    • The New Vitruvian (2022)
    • Structures of Emotion (2021)
    • ZEN A.I (2021)
    • InVisible (2021)
    • The Cage (2021)
    • The Cyborg Project (2021)
    • Wearable AI (2021)
    • Snapped (2021)
    • #AngryWhiteOldMale
    • The AI Human Training Center (2020)
    • The Avatar Genome Project (In Progress) >
      • Avatar pictures
    • Deconstructing Whiteness (2020)
    • Techno-Schizo (2020)
    • Don't Worry Be Happy (2020)
    • Face it! (2019)
    • Classification Cube (2019)
    • Live Feed (2018)
    • Memorial for a Virtual Friendship (2018)
    • VR2RL (2018)
    • Better Version (2018)
    • Virtual Chairs (2018)
    • Happy REZ day (2018)
    • Digital Creatures (2018)
    • Home made Virtual Soup (2017)
    • I Am Feeling (2017)
    • Uncanny Dance Party (2016)
    • Imagined (2016)
    • Mixed Reality (2016)
    • Textual Experience (2016)
    • Future Landscapes (2016)
    • Bisectional (2016)
    • Lucid Dreams (2016)
    • After the Media (2016)
    • #ilikeselfies (2016)
    • We are all different as a second language (2015)
    • Visually Similar (2015)
    • Virtual Mama (2014)
    • Me, Myself and I (2012)
    • Where do we come from? (2015)
    • sounds For Twine Game
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The Last Person Who Knew Something

11/26/2025

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For centuries, people have been fascinated by the figure of “the last person who knew everything.” Historians sometimes give the title to Leibniz, sometimes to Thomas Young, occasionally to Leonardo da Vinci. The identity doesn’t matter as much as the fantasy behind it: that once, long ago, a single human mind could hold the totality of human knowledge.

The title “the last person who knew everything” is not an official designation. It’s a cultural myth projected backward onto certain historical figures, but the idea behind it is meant to describe a historical transformation. It marks the moment just before human knowledge exploded.

Up through the 17th–18th centuries, it was still technically possible for a single brilliant person to read, understand, and meaningfully contribute to most areas of human knowledge. Libraries were limited, sciences were fewer, and disciplines had not yet split into dozens of subfields.

So when someone seemed to master all known domains, they looked like they “knew everything.” They were called polymaths or universal intellectuals.

The historical transformation brought with it the understanding that there is no single person alive who would ever again be able to understand so many fields at the cutting edge. Not because we suddenly lack brilliant people, but because the accumulation of knowledge has moved beyond the capacity of any single mind.

That’s where the story usually ends. But I want to continue it.
​

Once it became clear that no one could seriously claim to know everything, the ideal quietly narrowed. The human mind remained a vessel, only now it was obvious that it couldn’t contain it all.
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​So instead of thinking “I know it all,” the modern compromise became: “I know my part.”

Authority and identity became tied to the piece of knowledge you hold inside your head. You don’t have to be a universal intellectual; you just have to reliably know your something.

For a long time, this arrangement more or less worked. It shaped universities, careers, and how people introduced themselves at parties. It also shaped how many of us understand ourselves: “I am what I know. This is the patch of reality that lives in me.”

Strangely, the figure of the “universal knower” seems to be making a comeback. This time, however, it’s not a person. It’s a machine. I keep hearing variations of the same claim: “It was trained on all of human knowledge,” or “It has access to everything that’s ever been written,” or “it knows more than any human ever could.”

None of these statements are really accurate. The datasets are partial, filtered, biased, and full of gaps. Whole histories are missing. Whole ways of knowing never make it into the training data at all. And even when the data is there, statistical patterning is not the same as understanding.
​

But as a myth, the pattern is familiar.

We have quietly shifted the fantasy of “the one who knows everything” from the figure of the polymath to the figure of the AI model. The cultural role is similar: something out there that seems to have seen it all.

And if AI is now cast as the thing-that-knows-everything, that raises a more unsettling question: What, exactly, is left for the human to know?

Up until now, the answer was: “something.” The human mind was still imagined as a container, just more modest. You didn’t have to hold the entire world, but you were expected to hold your portion of it.
​

Now, even that “something” is under pressure.

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When AI can generate decent outcomes across the very fields that used to define us, the idea of the human as a container of specialized knowledge starts to dissolve.

This is where a new figure appears: not just “the last person who knew everything,” but “the last person who knew something.” The last human configuration that still understands its value in terms of what it personally carries inside.

The thing is, I think many of us are still living inside that older story, even as the conditions that made it possible are collapsing. What if we moved toward a different kind of human altogether: a human who, in isolation, knows almost nothing?

When we consider “the human who knows almost nothing,” we don’t have to take it as a failure of the human mind, but as a metamorphosis. The point is no longer to store knowledge in a mind that is imagined as a vessel. Instead, we can imagine the human mind as a node.

With this new imagination, we understand that knowledge is not inside us. It is ambient, infrastructural, externalized, continuously available, and continuously shifting. Humans no longer need to hold it. They need to navigate through and within it, to become engaged with it, to interact with it.

With that, intelligence becomes relational, knowing becomes distributed, and the mind becomes porous. It is less like a jar and more like a membrane.

The idea of “knowing everything” now lives in the network. The idea of “knowing something” now lives in our entanglement with other intelligent entities. And the idea of “knowing almost nothing” becomes the recognition that our role has changed. We are no longer those know-it-all geniuses who assume we can control everything just because we think we know it.

So if we are not the ones who know, what are we? Our role shifts: we become participants in a much larger cognitive ecology, celebrated for our ability to connect. Our work shifts from storing answers to asking better questions, choosing which connections to make, and taking responsibility for what those connections do in the world.
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    Avital Meshi - New Media and Performance Artist, making art with AI. Currently a PhD Candidate at the Performance Studies Graduate Group at UC Davis.
    ​Based in San Jose, CA.

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