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Research · Interactive · 15 physicists

The Holographic Universe

Holography says a universe with gravity can be described completely by a theory living on its edge. Here are 15 physicists placed inside that picture: the founders deep in the bulk, the people who took the ideas into AI out at the boundary. Select a name to see how it connects to the others, where each claim comes from, and a talk or playlist to watch.

Skip the diagram and read the list of people and connections

Drawing the cylinder…

How to read it
Up is measured
Time. Height is the year of each person’s landmark work, from 1915 to 2021; the ticks on the left are years.
Depth is a reading
How far in or out someone sits is an editorial judgment, not a measurement, and it comes in three bands only. Foundational figures sit deep in the bulk, where gravity lives; holography’s core sits at middle depth; people who crossed from physics into AI sit near the wall, the boundary, where the theory becomes the product.
The curves
Each connection is a hyperbolic geodesic: seen from above, an arc that meets the boundary circle at a right angle.
Fainter names
Bridge figures who are not among the fifteen.

15 people, 46 sourced connections

The same people and connections as the diagram, in era order.

  1. Albert Einstein

    1915 · General relativity · deep in the bulk

    General relativity, and both halves of ER = EPR: the 1935 wormhole paper and the 1935 entanglement paper.

  2. Enrico Fermi

    1942 · Chicago Pile-1 · deep in the bulk

    Nobel laureate (1938) who led the first self-sustaining chain reaction in 1942; the order-of-magnitude Fermi estimate carries his name.

  3. Richard Feynman

    1948 · The path-integral formulation · deep in the bulk

    Path integrals and the diagrams that carry his name; the calculating style later physicists took into other fields.

  4. Robert Hofstadter

    1956 · Electron Scattering and Nuclear Structure · deep in the bulk

    Measured the size and shape of nuclei and of the proton by scattering electrons off them at Stanford; Nobel Prize in Physics, 1961.

  5. Stephen Hawking

    1974 · Black hole explosions? · deep in the bulk

    Showed that black holes radiate and have a temperature, which set the information problem that holography was later used to answer.

  6. Leonard Susskind

    1994 · The World as a Hologram · middle depth

    Set out the holographic principle in The World as a Hologram, argued that black holes keep their information, and proposed ER = EPR with Maldacena.

  7. Juan Maldacena

    1997 · The AdS/CFT paper · middle depth

    Proposed the AdS/CFT correspondence in 1997; at the Institute for Advanced Study since 2001.

  8. Edward Witten

    1998 · Anti de Sitter Space and Holography · middle depth

    String theorist at the Institute for Advanced Study; wrote the precise dictionary for AdS/CFT in 1998.

  9. Nima Arkani-Hamed

    2013 · The Amplituhedron · middle depth

    Scattering amplitudes and the amplituhedron; at the Institute for Advanced Study; Jared Kaplan’s PhD advisor.

  10. Adam Brown

    2015 · Complexity Equals Action · near the boundary

    Theoretical physicist (black holes and quantum complexity) who leads the Blueshift team at Google DeepMind.

    Leads Blueshift at Google DeepMind; joined Google in 2018. Source, checked 2026-11-12.

  11. Sabrina Pasterski

    2017 · The conformal basis for celestial amplitudes · middle depth

    Celestial holography: a holographic description for flat space. Research faculty at the Perimeter Institute.

  12. Dario Amodei

    2020 · Language Models are Few-Shot Learners (GPT-3) · near the boundary

    Physics PhD (Princeton, 2011) who directed the GPT-2 and GPT-3 work at OpenAI, then co-founded Anthropic with Kaplan and McCandlish.

  13. Jared Kaplan

    2020 · Scaling Laws for Neural Language Models · near the boundary

    Holography PhD (Harvard, 2009) who measured neural scaling laws and co-founded Anthropic.

  14. Sam McCandlish

    2020 · Scaling Laws for Neural Language Models · near the boundary

    Holography PhD (Stanford, 2017), scaling-laws coauthor and Anthropic co-founder.

  15. Daniel Roberts

    2021 · The Principles of Deep Learning Theory · near the boundary

    Quantum chaos and holographic complexity, then The Principles of Deep Learning Theory; now at OpenAI.

    Leads Frontiers at OpenAI; visiting scientist at MIT’s Center for Theoretical Physics. Source, checked 2026-11-12.

    • Adam Browncoauthor2015

      Coauthors, with Susskind, Swingle and Zhao, of Complexity Equals Action, published in Physical Review Letters as Holographic Complexity Equals Bulk Action?

      Source: arXiv:1509.07876 · Phys. Rev. Lett. 116, 191301 Outside source

    • Leonard Susskindcoauthor2015

      Coauthors of Complexity Equals Action, which conjectures that the quantum complexity of a holographic state is dual to the action of a region of spacetime.

      Source: arXiv:1509.07876 Outside source

    • Ethan Dyercoauthor2018

      Coauthors of Gradient Descent Happens in a Tiny Subspace, with Guy Gur-Ari.

      Source: arXiv:1812.04754 Also on this site: /founder-files/dyer

    • Jared Kaplancited in the book2021

      Connects through a citation: the epilogue of Roberts and Yaida’s The Principles of Deep Learning Theory points to Kaplan’s 2020 scaling-laws paper as the empirical study of scaling in language models, and suggests the book’s representation group flow may explain those laws.

      Source: arXiv:2106.10165, Epilogue ε, reference [72] Outside source

    • Richard Feynmanidea lineage2021

      Connects through method: The Principles of Deep Learning Theory treats neural networks with the perturbative field-theory toolkit, and its first and last chapters open with epigraphs about Feynman. The book itself draws no Feynman diagrams.

      Source: arXiv:2106.10165 Outside source

    • Edward Wittenendorsed the book2022

      Connects through an endorsement: Witten’s note for The Principles of Deep Learning Theory says it is very interesting, for a physicist, to see deep learning approached from statistical physics.

      Source: deeplearningtheory.com, endorsements Outside source

    • Adam Browncrossed into AI2026

      Both coauthors now work at AI labs: Adam Brown leads Blueshift at Google DeepMind and Roberts leads Frontiers at OpenAI, by their own current bios.

      Source: Aspen Center for Physics, Adam Brown · danintheory.com, Dan Roberts · checked 2026-11-12 Outside source

  16. Leo Szilard bridge figure

    1939 · The Einstein–Szilard letter · deep in the bulk

    A bridge figure, not one of the fifteen: conceived the neutron chain reaction in 1933 and worked with Einstein on the 1939 letter to Roosevelt.

  17. Ethan Dyer bridge figure

    2019 · Asymptotics of Wide Networks from Feynman Diagrams · near the boundary

    A bridge figure, not one of the fifteen: holographer who joined Google’s Blueshift team and wrote scaling-law theory with Kaplan.

How to read the diagram

The shape is anti-de Sitter space drawn the usual way: a cylinder. Each horizontal slice is a Poincaré disk, a map of hyperbolic space in which the edge is infinitely far away, and the slices are stacked along a vertical time axis. The wall of the cylinder is the boundary, where the conformal field theory lives. The inside is the bulk, where gravity lives. In the AdS/CFT correspondence the two are the same physics written twice.

  • Depth is a judgment, not a measurement. Height on the cylinder is a year you can check; depth is my reading, in three bands. Einstein, Fermi and Feynman sit deep in the bulk because the rest is built on them. Maldacena, Witten, Arkani-Hamed and Pasterski sit at middle depth: holography’s core. Kaplan, McCandlish, Amodei, Adam Brown and Roberts sit near the boundary, because the boundary is where the theory becomes the product.
  • Height is time. Each person sits at the year of their landmark work, from general relativity in 1915 to The Principles of Deep Learning Theory in 2021.
  • The curves are real geodesics. Seen from above, every connection is the shortest path between two points of the hyperbolic disk: an arc of a circle that meets the boundary at a right angle. The faint pattern on the active slice is the {7,3} tiling, seven-sided tiles meeting three to a corner, all the same size in hyperbolic terms.

Five kinds of connection

  • advisorPhD advisor and student.
  • coauthorNames on the same paper.
  • same placeSame place at the same time: an institute, a lab, a lecture room.
  • idea lineageOne body of work builds on another; an interpretation, not a collaboration.
  • crossed into AIThe link runs through an AI lab or an AI event.

How the connections were sourced

There are 46 connections. 16 are backed by a page on this site, mostly the FounderFiles on Jared Kaplan, Juan Maldacena, Sam McCandlish, Sabrina Pasterski and Ethan Dyer. The other 30 rest on outside sources: arXiv and INSPIRE-HEP records, institute pages and U.S. Department of Energy history pages. Every row links to its source.

Connections marked idea lineage are interpretation. They say one body of work builds on another, not that two people worked together. Where a link could not be sourced it was left out, and a person with two solid connections was left with two. Current roles for Adam Brown and Daniel Roberts were checked on November 12, 2026. The Adam Brown here is the physicist who leads Blueshift at Google DeepMind. He is not the GPT-3 author with the same surname who has a FounderFile on this site.

Ethan Dyer and Leo Szilard appear as bridge figures. They are not among the 15, but each joins two people who are. For the longer story of why holographers ended up at AI labs, read The Data Desert: Physics, AI, and the Diaspora.