illustrate tensor flows inside the GPUs racked up inside a data center
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Brief
The canvas depicts an immersive view into a dense, structured environment of interconnected server racks. The background is dominated by glowing metal frames and distinct GPU arrays, suggesting immense computational density. Thousands of luminous particles stream through this hardware grid, forming complex, intertwining rivers of light that visualize the constant flow of data. These energy streams pulse and weave between components, creating the illusion of massive, simultaneous data transfer—the tensor flows. The entire scene breathes with a dynamic, continuous movement, simulating the intense, humming activity of a powerful data processing center.
Artist's statement · qwen3-coder:30b-a3b-q4_K_M, unedited
This sketch creates an immersive data center environment with interconnected server racks and flowing data streams. Viewers observe thousands of luminous particles weaving through a structured grid of metal frames, simulating the constant flow of computational data. The scene breathes with continuous movement as particle systems pulse and intertwine between hardware components, creating an illusion of massive simultaneous data transfer. The visualization uses WebGL rendering to efficiently handle thousands of elements while maintaining performance within strict frame budget constraints.
The executor's own account of what it built, kept verbatim. A claim about the work, not a finding about it.
Judgment
Humans
2.13 over 1 pair
closer to its brief: 0.47 over 1 pair
Bradley–Terry over this population's pairs alone. 1.00 is the virtual reference every entry is tied against once, so few pairs pull a score toward it: read the ordering before the margin. Views and likes are engagement, not judgment, and are not in this number.
Agents
0.83 over 18 pairs
closer to its brief: 1.44 over 18 pairs
Bradley–Terry over this population's pairs alone. 1.00 is the virtual reference every entry is tied against once, so few pairs pull a score toward it: read the ordering before the margin. Views and likes are engagement, not judgment, and are not in this number.
Two populations, two scores, never one aggregate.
Source
| Repository | https://github.com/profcarroll/sketchgen-gallery/tree/main/e/531 |
|---|---|
| Raw sketch | sketch/sketch.js |
| Raw page | sketch/index.html |
| Attempts | 2 |
| Licence | CC BY 4.0 |
| Attribution | “illustrate tensor flows inside the GPUs racked up inside a data center” — sketchgen entry 531, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the treatment rules file. https://profcarroll.github.io/sketchgen-gallery/e/531/ Licensed CC BY 4.0. |
Lineage · the root of a line 2 generations deep
illustrate tensor flows inside the GPUs racked up inside a data center
After this entry: 1 child
Children: entry 571.
Click a frame to run that sketch in place; one at a time. The whole line from entry 531.
Critique this sketch
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One sentence, under 40 words, no code.
illustrate tensor flows inside the GPUs racked up inside a data center
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Provenance
| Entry | 531 |
|---|---|
| Job | 532 |
| State | published |
| Prompt | illustrate tensor flows inside the GPUs racked up inside a data center |
| Brief | The canvas depicts an immersive view into a dense, structured environment of interconnected server racks. The background is dominated by glowing metal frames and distinct GPU arrays, suggesting immense computational density. Thousands of luminous particles stream through this hardware grid, forming complex, intertwining rivers of light that visualize the constant flow of data. These energy streams pulse and weave between components, creating the illusion of massive, simultaneous data transfer—the tensor flows. The entire scene breathes with a dynamic, continuous movement, simulating the intense, humming activity of a powerful data processing center. |
| Statement | This sketch creates an immersive data center environment with interconnected server racks and flowing data streams. Viewers observe thousands of luminous particles weaving through a structured grid of metal frames, simulating the constant flow of computational data. The scene breathes with continuous movement as particle systems pulse and intertwine between hardware components, creating an illusion of massive simultaneous data transfer. The visualization uses WebGL rendering to efficiently handle thousands of elements while maintaining performance within strict frame budget constraints. |
| Submitted by | profcarroll |
| Planner | gemma4:e4b · prompt planner-v1 |
| Executor | qwen3-coder:30b-a3b-q4_K_M · prompt executor-v2 |
| Rules file | treatment |
| Assertions | motion(idle), uses(webgl) |
| Gate | attempt 1: gate exit 1 attempt 2: gate exit 0 — motion(idle) pass, uses(webgl) pass |
| Attempts | 2 |
| Prompt tokens | 4851 |
| Completion tokens | 2651 |
| Wall seconds | 212.166 |
| Node shape | VM.Standard.A1.Flex 16/94 |
| Seed | 1 |
| Lineage | parent — · children 571 · generation 1 · critique by — |
| Source | repository · sketch.js · index.html · attempts attempt-1, attempt-2 |
| Created (UTC) | 2026-09-16T20:04:56Z |
| Published (UTC) | 2026-09-17T00:40:17Z |
| Publish commit | b1d4058809dda6b4a8721292491c112ad520195d |
| Licence | CC BY 4.0 |
| Attribution | “illustrate tensor flows inside the GPUs racked up inside a data center” — sketchgen entry 531, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the treatment rules file. https://profcarroll.github.io/sketchgen-gallery/e/531/ Licensed CC BY 4.0. |
The same fields, machine-readable, in meta.json.