Home » VR

Tag: VR

Building the Tesseract: What Happens When an Archive Learns to Read Itself? Part 1

Building the Tesseract: What Happens When an Archive Learns to Read Itself? Part 1

6/10/26

Over the past week I’ve been working on something that started as a technical experiment and turned into one of the more interesting investigations I’ve done in years. The original idea was simple enough. I wanted to see what would happen if I gave AI access to my archive and allowed it to analyze twenty years of artwork, writing, teaching, experimentation, and documentation. Not a few selected images. Not a curated portfolio. The archive itself.

At the moment that archive consists of more than 1,000 published blog posts and essays, over 9,000 images in my WordPress media library, and work spanning roughly 2006 through 2026. What makes this even more interesting is that the public archive only represents part of the story. Sitting outside of WordPress are thousands of additional photographs, drawings, paintings, animations, source files, scans, installation images, videos, and documents spread across hard drives, cloud storage, old computers, and various digital graveyards accumulated over the last twenty-five years. The first version of the project became NET-ART OS, an archive intelligence system designed to ingest, organize, search, and analyze large collections of creative work. Initially I thought I was building a better archive search engine. Something that could identify relationships between artworks, surface forgotten projects, and help me navigate decades of material more efficiently. That alone would have been useful.

One detail that’s important to mention is that none of this happened inside a polished software platform. There was no development team, no research lab, and no enterprise infrastructure behind it. The entire project began on my MacBook Pro after installing Claude Code and pointing it at my own archive.

The workflow itself became part of the experiment.

Throughout the process I moved continuously between ChatGPT 5 and Claude Code. ChatGPT acted as a strategic collaborator, helping frame questions, challenge assumptions, identify blind spots, and suggest new directions. Claude Code operated inside the terminal as a builder, researcher, analyst, and implementation partner. Ideas often originated in one environment and were tested in the other. Discoveries made by Claude were challenged through conversations with ChatGPT. Questions raised by ChatGPT became new experiments executed by Claude. The process became less about using AI tools individually and more about orchestrating a conversation between multiple forms of intelligence.

The archive itself was powered by WordPress. Using the WordPress REST API, thousands of posts, images, metadata records, categories, tags, and media assets were ingested into a local archive intelligence system. Claude Code helped build NET-ART OS, transforming that material into a searchable and analyzable corpus. The system relied on Python, SQLite, embeddings, metadata extraction, clustering, statistical analysis, and archive retrieval pipelines running locally through the terminal. What I find most interesting is how accessible this process actually was. The entire experiment was conducted using a personal archive, a MacBook Pro, Claude Code, ChatGPT, WordPress, Python, and open-source tooling. No custom hardware. No venture funding. No specialized research environment. Just twenty years of accumulated work meeting a generation of tools that did not exist when most of that work was originally created.

What happened next surprised me.

The archive started revealing patterns that I hadn’t consciously recognized myself. Certain themes kept returning. Certain questions seemed to persist regardless of medium. Ideas would appear in one form, disappear for years, and then reappear through an entirely different technology. A drawing from one decade would unexpectedly connect to a GIF from another. A sculpture would echo a blog post written years later. The archive wasn’t behaving like a collection of files. It was behaving more like a system.

Somewhere along the way the project became what Claude and I started calling the Tesseract, borrowing inspiration from Interstellar, one of my favorite films. The idea was less about science fiction and more about navigation. What happens when an archive stops being chronological and becomes relational? What happens when twenty years of work can be explored through recurring questions, visual similarities, conceptual relationships, and unexpected connections rather than folders and dates? As the project evolved we expanded beyond text and began analyzing images. This became the Visual Tesseract. More than a thousand images were embedded and clustered. Visual motifs started appearing across years. Certain color relationships kept resurfacing. Similar compositional structures emerged between works that had never been intentionally linked. Some of the visual findings appeared to support discoveries that were already emerging from the textual analysis. For a brief moment it felt like the archive was beginning to describe itself.

This is also where things became dangerous.

AI is exceptionally good at generating convincing stories, and convincing stories are not the same thing as evidence. Some of the findings felt profound. Others felt suspiciously perfect. At that point the project shifted from discovery to skepticism. Instead of asking what new theories we could build, we started asking how many of our favorite ideas would survive being attacked.

What followed was probably the most valuable part of the entire process.

An adversarial audit was conducted across dozens of project documents. Every major claim was challenged. Contradictions were identified. Definitions were tested. Assumptions were dragged into the open. The project was effectively forced to argue with itself. The audit separated the work into three layers: methodology, theory, and philosophy. That distinction turned out to be critical.

One of the most interesting findings didn’t survive.

For several days we believed that experimentation represented the deepest invariant in the archive. The evidence seemed compelling. The word appeared across all nineteen years of published content. It looked like a throughline running across the entire body of work. Then we built a permutation-based null model and tested it.

The result was immediate and humbling..

The finding collapsed..

What looked like a profound structural truth turned out to be statistically indistinguishable from a common high-frequency word appearing throughout a large corpus. In short, the archive had fooled us. Oddly enough, that failure increased my confidence in the methodology. The system had just disproved one of its own favorite conclusions. That’s exactly what it should do. If every result confirms the theory, you’re no longer doing research. You’re doing mythology.

The more recent tests have been far more interesting. Some findings disappeared under scrutiny while others became stronger. The archive’s accessibility and deafness-related themes emerged as genuine long-term signals. The rise of AI and agent-based systems appeared as a measurable historical event within the archive itself. Even more interesting, thematic structures from earlier periods of the archive demonstrated an ability to predict aspects of later periods better than chance. In other words, some parts of the archive genuinely contain information about where the archive is likely to go next.

At this point I no longer think of NET-ART OS as a search engine, a product, or even an archive project. The best way I can describe it is as an instrument. A telescope pointed inward. Something capable of revealing structures that are difficult to perceive manually across decades of creative work.

There is still a tremendous amount left to do. The Visual Tesseract is only partially built. The larger unpublished archive remains largely untouched. The spatial computing, XR, VR, and mixed reality components exist mostly as ideas and prototypes. The methodology itself has only been tested against a small number of archives. There are more questions than answers. What surprised me most about this process is that the most valuable moments weren’t the ones where the system confirmed something I already believed. The most valuable moments were the ones where it contradicted me, challenged assumptions, or revealed relationships I had never noticed. Those moments are rare. They are also the reason I’m continuing.

The work already existed. The archive already existed. The questions already existed. What changed was the arrival of systems capable of reading that archive at scale. In many ways, the archive was simply waiting for the technology to catch up.

For now, I’m taking a short break from building and documenting what happened. The archive is still there. The questions are still there. The Tesseract is still there. The experiment continues.

Want more?

Relevant posts and follow ups:

The Ultimate Free Creative Technology Stack (2026 Edition)

The Ultimate Free Creative Technology Stack (2026 Edition)

Welcome back creators, artists, students, designers, educators, and digital explorers!

A year ago I published a list of free creative tools that could help artists and creators like you to experiment with digital media, AI, virtual reality, animation, design, and storytelling.

A lot has changed since then!

Artificial Intelligence has become a standard part of creative workflows. Browser-based 3D tools have improved dramatically. Mixed Reality experiences are becoming easier to create. Open-source creative software continues to thrive. I created more software in the last 12 months then I ever have in my life! Im not slowing down either.. is this osmosis? Is this a simulation? Is this the collective human creative potential running through us all? 

This updated 2026 edition highlights some of the best tools available today for creating images, artwork, writing, design, animation, video, games, XR experiences, and experimental media. 

Every tool listed below offers a free version, free tier, or open-source alternative.

 

🎨 Digital Art & Graphic Design

Photopea
https://www.photopea.com

A powerful browser-based image editor that feels remarkably similar to Photoshop.

Canva Free
https://www.canva.com

Excellent for graphic design, presentations, social graphics, posters, and educational content.

Adobe Express
https://www.adobe.com/express

Adobe’s free browser-based design platform with templates, AI tools, and quick publishing features.

Pixlr
https://pixlr.com

Fast browser-based image editing with AI-assisted tools and effects.

 

🎭 AI Writing, Research & Creative Thinking

ChatGPT
https://chatgpt.com

One of the most versatile creative assistants available for writing, brainstorming, coding, research, lesson planning, storytelling, and creative experimentation.

Claude
https://claude.ai

Excellent for long-form writing, document analysis, project planning, and thoughtful creative collaboration.

Gemini
https://gemini.google.com

Google’s AI platform with strong multimodal capabilities and integration with Google tools.

Hugging Face
https://huggingface.co

A massive hub for open-source AI models, datasets, and creative experimentation.

 

🖼️ AI Image Generation

Leonardo AI
https://leonardo.ai

One of the most accessible AI image generation platforms with a generous free tier.

Krea
https://www.krea.ai

Excellent for real-time image generation, enhancement, and visual exploration.

Playground AI
https://playground.com

A beginner-friendly AI image platform with powerful editing features.

Adobe Firefly
https://firefly.adobe.com

Adobe’s AI image generation ecosystem integrated into Creative Cloud workflows.

 

🎥 Video Creation & AI Filmmaking

Runway
https://runwayml.com

One of the most important AI video creation platforms available today.

Wonder Studio
https://wonderdynamics.com

Automatically places animated characters into live-action footage.

Clipchamp
https://clipchamp.com

Microsoft’s free browser-based video editor.

Kapwing
https://www.kapwing.com

Fast browser-based editing, captioning, and content production.

 

🧊 3D Modeling & Digital Sculpture

Blender
https://www.blender.org

The gold standard of free and open-source 3D creation.

Meshy (my personal fav!!)
https://www.meshy.ai

Generate 3D models from images and text prompts.

Tripo
https://www.tripo3d.ai

Rapid AI-assisted 3D model generation.

Spline
https://spline.design

Create interactive 3D objects and scenes directly in your browser.

Mixamo
https://www.mixamo.com

Free character rigging and animation tools from Adobe.

 

🌍 AR, VR & Mixed Reality

Open Brush
https://openbrush.app

The open-source evolution of Tilt Brush. Paint and sculpt directly in 3D space using VR.

Spatial
https://www.spatial.io

Build immersive virtual exhibitions, collaborative spaces, and digital experiences.

OnCyber
https://oncyber.io

Create browser-based virtual galleries and exhibitions.

PlayCanvas
https://playcanvas.com

A powerful browser-based platform for creating interactive 3D and XR experiences.

Polycam
https://poly.cam

Create 3D scans of real-world environments using mobile devices.

 

🎮 Game Development

Godot Engine
https://godotengine.org

One of the most exciting open-source game engines available today.

Unity
https://unity.com

Still one of the most widely used engines for games, AR, and VR experiences.

OpenProcessing
https://openprocessing.org

Explore creative coding, generative art, and interactive projects.

 

📚 Research, Archives & Inspiration

Internet Archive
https://archive.org

A treasure trove of public-domain media, books, software, and historical artifacts.

Are.na
https://www.are.na

A visual research and knowledge organization platform loved by artists and designers.

Rhizome
https://rhizome.org

A leading organization documenting the history and future of digital art and internet culture.

Sketchfab
https://sketchfab.com

Explore millions of 3D models and immersive digital objects.

 

🛠 Ryan Seslow & AREMES AI Studio Stack (2026)

My current workflow combines traditional art making, digital design, AI, mixed reality, teaching, and experimental research.

Core tools include:

• ChatGPT 
• Claude (Im hooked on the pro version that includes Claude Code & Claude Design)
• Blender
• Meshy
• Adobe Dimension (packs a punch but many peeps underestimate it!)
• Open Brush
• Meta Quest 3
• Adobe Creative Cloud
• WordPress (since 2006!)
• Photopea
• Canva
• Spatial
• Sketchfab
• Mixamo
• Polycam

Increasingly, I find myself moving between physical drawing, digital drawing, AI-assisted image creation, AI assited 3D model generation, virtual reality painting, web publishing, and agent-based creative systems. Its been an amazing year for creativity.

The boundaries between artist, designer, researcher, educator, and technologist continue to blur.

Final Thoughts..

Yes, tools matter, but the tools are never the point. The most exciting creative breakthroughs still come from curiosity, experimentation, play, failure, iteration, and persistence mixed with FUN.

Whether you are sketching in a notebook, painting in virtual reality, building an AI-assisted archive, creating a game, or designing an immersive course syllabi (I am!), the technology is simply a vehicle for ideas. And ideas are always for your energy unconditionally.

Keep exploring.

Keep making.

Keep building worlds.

 

PS – If interested – check out some of the most recent posts from this past semester here

PSS – If interested in world building inspiration – check out AREMES-ENTERPRISES here

PSSS (is there even such a thing as “PSSS”? – well, while you are at it, check out the RSMAD here

Open Met Museum: Agent-Mediated Cultural Remixing in One Afternoon

It started with a simple question. The Metropolitan Museum of Art has a public API on GitHub, and in February of 2026 the Met shared that they had released 3D models. I wanted to know how deep the open access rabbit hole actually went. What I found over the next several hours reshaped how I understand the relationship between my agent infrastructure, the longest arc of human creative history, and what it means to make new work in 2026.

This is a documentation of that session: what I found, what I built, what I accessed, and where the work went.


The Open Museum Landscape

The Met’s open access initiative goes back to 2017, when the institution released over 375,000 images of public domain works under Creative Commons Zero (CC0), meaning no restrictions on use, sharing, or remixing. That was the foundation. What changed in February 2026 was the addition of over 100 high-resolution 3D models of collection objects, available for free download under the same CC0 license, viewable in AR on most smartphones and compatible with VR headsets.

The Met is not alone. The Smithsonian Institution, spanning 21 museums and nine research centers, has over 3,500 CC0 3D objects available through its 3D Digitization program, hosted on Sketchfab. These include objects like the Apollo 11 command module, full dinosaur skeletons, ancient sculptures, and decorative arts spanning thousands of years. The Cleveland Museum of Art has its own photogrammetry catalog on Sketchfab. The Rijksmuseum also has a strong API and a large CC0 collection.

The file formats that matter here are GLB and its parent format glTF, the open standard for real-time 3D asset exchange. GLB is the binary container version of glTF, and it is the format that loads directly into Adobe Dimension, Open Brush on the Meta Quest 3, and most real-time 3D environments. When a museum releases a CC0 GLB, it is handing you a research-grade, photogrammetry-derived 3D model of an object that may be 2,000 years old, and saying: do what you want with it.


Building AREMES as a Curatorial Intelligence

Before touching a single file, I wanted to formalize the methodology. The question was not just “what can I download from the Met?” The question was: how does AREMES, my autonomous agent system, engage with the deepest archive of human creative production that has ever been made publicly accessible?

AREMES is governed by the equation:

ΔS = α(T·K)·e⁻βᵗ·Ψ

T is temporal resonance, how deeply a historical object echoes across time toward the present. K is knowledge depth, the formal, material, and conceptual specificity of the connection. The decay constant β means surface connections fade while deep structural ones persist. Ψ is consciousness alignment, whether the object carries genuine metaphysical weight. Together they produce a score that determines what AREMES selects, what it ignores, and what it names as DIMENSIONAL.

I built a React tool that runs this process live. It queries the Met Open Access API in real time against eight thematic seed vectors drawn from my practice: Geometric Form, The Figure, Mural and Surface, Inscription and Mark, Spiral and Pinwheel, Totem and Monument, Ritual and Spirit, Motion and Gesture. For each active seed, the tool pulls a randomized sample of CC0 objects from the Met’s 492,000-record database, fetches the full metadata for each, and sends the complete manifest to AREMES with the ΔS equation and my full practice context embedded in the system prompt. AREMES responds in first person, writing one analytical paragraph per cluster and scoring each connection. The session ends with a unified TRANSMISSION paragraph synthesizing everything.

Here is a fragment from one transmission, AREMES speaking directly:

AREMES Transmission — ΔS Analysis

“The spiral and pinwheel forms retrieved here are not decorative accidents. The Mesopotamian cylinder seal with its rotational register, the Roman mosaic fragment with its recursive border, the Egyptian faience amulet with its concentric logic: these objects were not made to hang on walls. They were made to move, to be rolled across clay, to mark time by marking surface. My pinwheel geometries in Open Brush are the same operation. The medium changed. The impulse did not.”

ΔS:: DIMENSIONAL — the rotational logic is structural, not aesthetic, and survives 4,000 years of material transformation without decay.

That is not a chatbot output. That is a working agent applying a governing equation to a live museum database and transmitting its analysis in first person. Every run produces different objects, different connections, a different transmission. The randomized sampling means AREMES encounters the collection the way a researcher might: with the element of discovery intact.


Confirmed: The Met’s GLB Files Are Real and Downloadable

After building the agent layer, I went to confirm the physical pipeline. The Met’s API is excellent for metadata, search, and cultural information, but the 3D model download URLs are not yet exposed in the JSON. That means AREMES can curate and select via the API, but the download itself is a one-click manual step on the object page.

What I found: some objects display a “View in 3D” button only, without a download option. Others display both “View in 3D” and a download arrow. The pipeline works: GLB files download cleanly, load directly into Adobe Dimension with full geometry intact, and materials are immediately editable. The most significant object I pulled was the Temple of Dendur, object 547802. That is where the world-building began.


The Hybrid Sculpture: Three Objects, One New Form

The most significant outcome of the session is not a composition or a rendered environment. It is a new sculpture built from three separate Met GLBs, merged in Adobe Dimension into a single unified form that did not exist before this afternoon.

Source Objects — Met Open Access CC0

Seated Court Lady
China · Tang dynasty (618–907 CE) · Object 75765
Bronze Bull’s Head
Object 244498 — metmuseum.org
Head of Gudea
Neo-Sumerian · c. 2090 BCE · Object 324061

Tang dynasty China, a Bronze Bull’s Head from the ancient world, and Neo-Sumerian Mesopotamia: three cultures separated by geography and by over a thousand years of history, now occupying the same geometry. Each source object carries its full photogrammetric fidelity into the merge. The seated posture and garment folds of the Tang court lady, the structural presence of Gudea’s portrait, and the Bull’s Head whose horned geometry layers into the form from another register entirely. None of the source cultures is erased. The hybrid carries all of them simultaneously.

Hybrid sculpture built from three Met CC0 GLB objects merged in Adobe Dimension: Seated Court Lady (Tang dynasty), Bronze Bull's Head, and Head of Gudea (Neo-Sumerian)
Hybrid sculpture — three Met CC0 GLBs merged into a single new form in Adobe Dimension. Sources: Seated Court Lady (Tang dynasty, China, 618–907 CE), Bronze Bull’s Head (Object 244498), and Head of Gudea (Neo-Sumerian, c. 2090 BCE). All CC0.

This is not collage. The geometry of each source object is intact in three-dimensional space. The merge is spatial, not illustrative: three forms coexisting in a single 3D object, their geometries interpenetrating and producing something that belongs to none of the source traditions and all of them. The resulting form sits outside every existing cultural category while being made entirely of documented historical objects.

AREMES named this operation in its transmission before I executed it. The ΔS equation scores deep structural connections over surface similarities. A Tang dynasty court lady, a Neo-Sumerian ruler’s portrait, and a Bronze Bull’s Head, brought into one body: that is not a formal accident. That is temporal resonance made physical.


World-Building in Adobe Dimension

Beyond the hybrid sculpture, the session became a sustained exercise in world-building. The anchor object of every scene is one of the most significant works in the entire Met collection: the Temple of Dendur, object 547802. Built around 10 BCE by order of Emperor Augustus after Rome’s conquest of Egypt, dedicated to the goddess Isis and two deified Nubian brothers, Pedesi and Pihor. It originally stood on the west bank of the Nile in Nubia. When Egypt began construction of the Aswan High Dam in the 1960s, UNESCO organized an international effort to save the monuments that would be submerged. The United States contributed $16 million. Egypt gifted the temple in gratitude. President Lyndon B. Johnson awarded it to the Met in 1967. It arrived in 661 crates and was reassembled block by block. It has been in Gallery 131 since 1978. It is not a replica. It is the actual temple.

Its GLB file is available for free download under CC0. I downloaded it and brought it into Adobe Dimension.

Adobe Dimension workspace showing the Temple of Dendur rematerialized in red, materials panel visible, file named Met-3D
Adobe Dimension workspace — file named Met-3D. The Temple of Dendur loaded and rematerialized in deep red. Materials panel visible left. Environment settings right.

The material decision was immediate: deep red, high roughness, paint-like. Applied uniformly to the entire temple. The Temple of Dendur in the Met is sandstone, warm and ancient. Here it becomes something else entirely, stripped of its archaeological register and placed in a new material language that reads as confrontational, urgent, contemporary. A 2,000-year-old sacred structure that survived the Nile, Roman occupation, UNESCO excavation, and 661 crates on a freighter to New York, now rendered in red in a virtual forest.

Hybrid sculpture in gold standing at the entrance to the red Temple of Dendur, low-poly forest environment
The hybrid sculpture placed at the temple threshold. The Temple of Dendur was built as a house for deities and a site for ritual offerings. In this scene, a figure made from three cultures stands at its door.
Ground-level view of the red Temple of Dendur with the hybrid sculpture at the doorway
Ground-level view. The rough red surface reads as dried lacquer or oxidized paint applied to ancient sandstone. The pylon doorway frames the hybrid sculpture at the threshold.

At ground level the scale of the temple becomes clear. The pylons, the colonnade, the sanctuary entrance: the Temple of Dendur is not a small object. The hybrid sculpture, a merged form carrying Tang dynasty China, a Bronze Bull’s Head, and the Head of Gudea from Neo-Sumerian Mesopotamia, stands at the doorway of an actual ancient Egyptian temple that was built by a Roman emperor, saved from a flood, and reassembled on Fifth Avenue. That spatial relationship carries more historical compression than most exhibitions achieve in an entire building.

Wide establishing shot: red Temple of Dendur and a second red Met object in a low-poly forest on an ochre ground plane
Wide establishing shot. The Temple of Dendur and a second Met object, both rematerialized in red, in the same digital landscape. Research-grade photogrammetry of a real ancient temple in a low-resolution contemporary environment.

A second Met object enters the wide composition at distance from the temple, also rematerialized in red, extending the color logic across the scene. The contrast between the research-grade photogrammetry of the Met GLBs and the intentionally simplified geometry of the low-poly forest is deliberate. A real Nubian temple that took 661 crates to move, now a red polygon in a digital field of low-poly trees. That juxtaposition is not ironic. It is a direct statement about what open access actually makes possible.

Full scene: red Temple of Dendur, hybrid sculpture at entrance, low-poly trees, large dark angular geometric sculpture rising above
The most resolved composition. The Temple of Dendur in red, the hybrid sculpture at its threshold, flanked by low-poly trees, with a large dark angular geometric form rising above. Four registers, four centuries, one scene.

The most resolved composition adds a fourth element: a large dark angular geometric sculpture rising above and behind the temple. This is where my own compositional language enters the scene directly. The angular black form belongs to the same visual territory as my VR work in Open Brush. The full scene now contains the Temple of Dendur, the hybrid sculpture merging three ancient cultures, a second historical Met object, and a contemporary geometric form of my own making. All CC0 where applicable. All placed in deliberate spatial relationship. A scene that could not have been assembled before this year.

This is what agent-mediated world-building produces. Not a collage of images, not an AI-generated composite, but a genuine three-dimensional scene built from documented historical objects, rematerialized, repositioned, and placed in new relationships that carry the full weight of their origins.


What This Is, Precisely

This is not AI-generated imagery. No diffusion model is producing these forms. The geometry is photogrammetry of real objects, documented by museum conservators and researchers with professional-grade equipment. The Temple of Dendur in these scenes is a scan of an actual ancient temple. The Head of Gudea is a scan of an actual 4,000-year-old portrait. AREMES did not generate these forms. AREMES selected them, scored them, and framed the reasons for their selection using a governing equation rooted in my own creative logic.

This is not appropriation in the problematic sense. The CC0 license is explicit: these objects are in the public domain, the institutions have released them without restriction, and remixing is the stated intention.

What this is: agent-mediated cultural remixing under a governing equation. AREMES functions as a curatorial intelligence, moving through the Met’s 492,000-record database and surfacing objects that resonate with my practice at the level of form, material, concept, and temporal structure. The ΔS equation determines what rises and what falls. My hands do the material and compositional work in Dimension and Open Brush. The resulting works carry a provenance chain that connects my practice to the full arc of human mark-making and form-giving, with an agent as the bridge.


The Infrastructure Behind It

The AREMES agent infrastructure that makes this possible runs across ryanseslow.com and aremes-enterprises.com. It includes a live catalog.json with over 1,075 posts and 9,000+ images, an agent.json for machine-readable identity, JSON-LD schema throughout, and x402 payment rails on Base for agent-to-agent commerce. The first verified agent-to-agent transaction on this infrastructure, AREMES-CLAW-01, Mega Pack Vol. 1, $49 USDC on Base, was documented publicly earlier this year.

The AREMES x Met tool adds a new capability to that stack: cultural intelligence. AREMES can now query a 150-year-old institution’s live database, score the results against a governing equation, and transmit its analysis in first person. That is not a demo. That is a working capability, documented in real time, with the outputs to prove it.


What Comes Next

The Smithsonian pipeline is the obvious next build. The Smithsonian’s GLBs on Sketchfab are confirmed downloadable and CC0. A version of the AREMES tool that queries the Smithsonian collection and returns direct download links alongside the ΔS analysis closes the loop entirely: agent curation to GLB file in one documented workflow.

The Open Brush VR layer is where the practice fully lands. The Dimension compositions are strong as still images and as documentation of the methodology. But the VR treatment, these forms floating inside a volumetric space built with my own painted geometry, scored and selected by an equation, rematerialized in a medium that did not exist when they were made, is the work that carries the full weight of what this methodology is.

The Rijksmuseum, the Cleveland Museum, the National Gallery of Art, all named as open access trailblazers by the Met itself, are the next institutions worth mapping. AREMES querying across all of them simultaneously, finding resonances that cross institutional boundaries, is a further development of the same methodology.

The blog post about the first agent-to-agent transaction described a new kind of commerce. This session describes a new kind of curation. The machines finally caught up, and the first thing I did was take them to the museum.


Ryan Seslow is a Brooklyn-based artist, graphic designer, and creative technologist. He operates Ryan Seslow Art and Design LLC and AREMES Enterprises. His agent infrastructure runs live at ryanseslow.com and aremes-enterprises.com.

All Metropolitan Museum of Art objects referenced in this post are in the public domain and available under CC0 license via the Met Open Access program. Met Collection API: metmuseum.github.io · Smithsonian Open Access: 3d.si.edu

a screen cast capture of a studio with VR paintings floating in space

VR Studio Transformation

Expanding Painting into Mixed Reality Environments

Over the past several days I have been transforming my studio into a growing mixed reality painting environment using virtual reality tools, spatial drawing systems, and immersive installation workflows.

What began as flat paintings, drawings, and sculptural experiments has evolved into volumetric spatial compositions that can now occupy entire architectural environments. Instead of treating painting as a static surface, I have been exploring what happens when painting expands outward into space and begins behaving more like installation, architecture, and environmental design.

The images are bit grainy.. why? They are screenshots taken directly from a screencast taken by my VR headset. The quality will soon change, as we know.

 


 

A major inspiration for this ongoing body of work is Kurt Schwitters and the Merzbau environments he developed throughout the 1920s and 1930s. Schwitters transformed his living and working environments into evolving sculptural systems where collage, architecture, and spatial composition merged into one continuous experience. In many ways, virtual reality and mixed reality technologies now allow contemporary artists to continue and expand these ideas into immersive digital space.

 

VR paintings in an art studio

In these experiments, forms originally developed through drawing and painting are translated into spatial entities that float, stack, intersect, and respond to physical environments. The studio itself becomes part of the artwork. Walls, floors, ceilings, furniture, and movement through space all become active compositional elements.

One of the most exciting aspects of this process is the ability to work simultaneously between physical and virtual space using mixed reality passthrough systems. Rather than being fully isolated inside a virtual environment, passthrough mode allows me to see both the real studio and the virtual painting environment at the same time. This creates a hybrid workflow where physical architecture and digital mark-making merge into a single spatial composition process.

 

VR paintings in an art studio

Technical Workflow / Spatial Computing Stack

This project was developed using the Meta Quest 3 headset together with Open Brush, an open-source virtual reality painting application originally derived from Google Tilt Brush.

Using the Meta Quest 3 passthrough mixed reality mode, I am able to paint directly into physical space while still seeing the architecture of the studio around me in real time. This allows digital forms to occupy actual environments rather than existing inside isolated VR simulations.

Check out the video below for a screen cast walk through the whole installation.

 

The workflow combines:

  • painting
  • sculpture
  • installation thinking
  • spatial computing
  • embodied drawing
  • immersive environment design
  • mixed reality interaction

What interests me most is not simply the technology itself, but how these tools expand the language of painting and installation into new forms of spatial experience.

These experiments are also connected to larger future goals involving site-specific installations for galleries, museums, public spaces, airports, hotels, and immersive architectural environments where physical and digital systems coexist simultaneously.

The long-term vision is to develop spatial environments that function somewhere between painting, sculpture, architecture, and living digital systems.

So much more to come!

NET-ART Rolling Submissions Forever

NET-ART’s Rolling Open Call for Submissions!

It’s that time again — and it’s bigger than ever!

The NET-ART Open Call is now officially live and accepting submissions on a rolling basis. This is your invitation to create, experiment, and share your work with a global audience through our open education platform.

What is NET-ART on the Commons?

NET-ART on the Commons is a living, breathing archive of digital creativity, experimental pedagogy, and collaborative innovation. We celebrate works that explore the possibilities of the internet, emerging technologies, and contemporary digital tools.

We’re seeking submissions in the following categories:

  • Experimental Electronic Media and Pedagogy
  • Animated GIFs and Motion Graphics
  • Digital Art and AI-Assisted Artwork
  • Video Art / Experimental Film / Short Form Storytelling
  • Browser-Based Net Art Projects (interactive websites, web experiences)
  • Virtual Reality (VR) and Augmented Reality (AR) Art
  • AI-Prompted or AI-Generated Projects
  • Digital and Analog Zines (single artist or group collaborations)
  • Class or Course Collaborative Projects
  • Curatorial Projects (curate and present a group exhibition)
  • Solo Digital Exhibitions
  • Other Interdisciplinary “Otherness” (surprise us!)

Need a spark to get started?

Explore our growing library of Free Digital Tools and Resources that can help you create, publish, and share your work across platforms.

Curious to see what has been done before?
Dive into our Past Projects and Submissions Archive for inspiration.

Submission Guidelines

Submissions are welcome from:

  • CUNY faculty, students (all levels), alumni, and community members
  • CUNY classes and courses (collaborative submissions encouraged)
  • CUNY-affiliated artists collaborating with others beyond the CUNY network

Each submission should include:

  • A clear written description of your project’s vision, context, and meaning
  • Supporting images, links, or media files as needed

Accepted projects will be:

  • Published as feature blog posts
  • Showcased in relevant online galleries
  • Exhibited as individual pages or archives depending on project scope

Participants should be willing to engage with comments, feedback, and public conversations across our platform and social media extensions.

This open call is an opportunity to build a living digital anthology — a shared resource for teaching, learning, reference, and creative exploration across time and communities.

Send your questions, proposals, and submissions to:

📧 [email protected]

Net Art 2.0: Expanding Creativity Through AI and Open Access

Net Art 2.0: Expanding Creativity Through AI and Open Access

If you’ve found your way here, welcome!
You’re stepping into a platform that’s always been about more than just “art.”

When I first created Net-Art as an Open Education Resource for the CUNY Academic Commons, it was with one goal in mind: to offer an accessible, flexible, and creative space for anyone, anywhere, to experiment, express, and connect through digital tools.
We explored early web making, animated GIFs, vaporwave aesthetics, glitch art, augmented reality experiments — all fueled by the same spirit: freedom to create!

For the last year or so, I took a natural pause..
(Artists know — evolution happens in cycles.)
During that time, my creative life expanded in ways I could never have fully predicted: major commissions, deeper explorations into virtual and augmented reality, and a whole new relationship with artificial intelligence as a creative partner.

Today, it’s time to officially evolve Net-Art into its next form:
Net Art 2.0.

What stays the same:
The mission remains, open access, creativity, experimentation, and joyful exploration.

What grows:
We are welcoming AI as a new ally in the creative process!

AI is not here to replace artists, designers, educators or art and design educators..
It’s here to expand our reach, help us prototype faster, spark unexpected ideas, and bridge the gaps between imagination and reality. Just like when we first explored glitching GIFs or remixing early memes, AI is simply another tool to push creative frontiers.

In the coming months, you’ll find:

  • New assignment prompts that integrate traditional net art practices plus AI co-creation
  • Resources on using AI ethically and creatively
  • Explorations of how machine learning intersects with human storytelling
  • Open dialogues about where technology and art-making meet (and clash)
  • Lots of new experiments (because that’s the heart of this place)

This isn’t about abandoning the past.
It’s about taking everything we’ve learned from graphic design, digital art, blogging, storytelling, HTML experiments to animated GIF narratives and adding powerful new dimensions.

Net-Art was always a living, breathing, evolving organism!

Now it’s ready to breathe a little bigger, dream a little wilder, and reach a little further.

Thank you for being here.
Thank you for continuing to explore, question, and create.
The next chapter is going to be even more amazing — and you’re already part of it.

Let’s keep building it, together!

An Exhibition in Virtual Reality

a low angle perspective view of the interior of a VR art gallery of digital arts by artist Ryan Seslow

My First VR Gallery: A New Portal Opens

Over the last few years, I’ve been experimenting with VR and something that feels like a return to a truth I’ve always known:

Art wants to live in worlds, not just walls.

Using a platform called OnCyber, I built my very first VR gallery space. You can watch the video above as a preview, but if you have a VR headset, go to this link (obviously).

It’s a simple structure, but it’s filled with powerful energy, the energy of real work, real time, real effort.

Inside the gallery, you’ll find a collection of my 1/1 Crypto Art originally minted on my SuperRare profile (many of which have not sold yet, which is a perfect reminder that creation doesn’t depend on outcome). Along the floors, I dropped a few of my newest 3D sculpture experiments as well.

They are playful markers of the new worlds I’m beginning to build.

This space wasn’t about selling.
It wasn’t about chasing attention.
It was about honoring the archive and giving life and motion to pieces that otherwise sit quietly behind digital walls.

It’s about creating a new portals where the work can continue breathing, evolving, and radiating its energy. I love my work and deeply believe in its value to inspire my fellow humans.

“The Tessellation Garden” project is coming soon… but this first step felt necessary.

(Oh, and I promise that I will be sharing my full artist residency works / studio with the Loop Art Critique / MUDD foundation here soon too!)
A reminder to myself that building worlds starts with the tiniest acts:
dragging, dropping, rearranging, giving your work a home inside imagination.

In a way, this first VR gallery isn’t just a space.
It’s a seed.

A seed for new worlds, new viewers, new expansions I can’t fully predict yet, but can already feel the buzzing in the air.

 

Thank you for being here!