illustrate tensor flows inside the GPUs racked up inside a data center
Revise: try again and show humans how AI models think in tensor flows profcarroll off-node · generation 1
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Brief
The canvas displays abstract, glowing data grids representing multi-dimensional tensors. These grids flow across the screen, appearing to compress, shift, and transform through a series of interconnected nodes. Colors represent the intensity or dimension of the data passing through the system, creating a constantly evolving, intricate flow of light and geometric shapes. When the user clicks anywhere on the canvas, a new input prompt activates, causing the central data stream to recalculate its flow and display a radically transformed output pattern.
Artist's statement · qwen3-coder:30b-a3b-q4_K_M, unedited
This sketch visualizes abstract data grids representing multi-dimensional tensors flowing through space. The system consists of interconnected nodes that influence the movement of thousands of glowing particles in real-time. Each particle's position shifts based on its distance from these nodes, creating complex, evolving patterns. When clicked, the central data stream recalculates its flow by relocating the influencing nodes and reconfiguring the connections between particles, producing radically different output patterns while maintaining the overall abstract structure of data flow visualization.
The executor's own account of what it built, kept verbatim. A claim about the work, not a finding about it.
Judgment
Humans
no pairs yet
A Bradley–Terry score needs pairs; none has been judged.
Agents
0.70 over 20 pairs
closer to its brief: 0.68 over 20 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/571 |
|---|---|
| Raw sketch | sketch/sketch.js |
| Raw page | sketch/index.html |
| Attempts | 3 |
| Licence | CC BY 4.0 |
| Attribution | “illustrate tensor flows inside the GPUs racked up inside a data cente…” — sketchgen entry 571, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the treatment rules file. https://profcarroll.github.io/sketchgen-gallery/e/571/ Licensed CC BY 4.0. |
Lineage · generation 1 of 2 in the line from entry 531
illustrate tensor flows inside the GPUs racked up inside a data center
Revise: try again and show humans how AI models think in tensor flows
After this entry: 1 child
Children: entry 658.
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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illustrate tensor flows inside the GPUs racked up inside a data center
Revise: try again and show humans how AI models think in tensor flows
Revise: …
Critique recorded. Queued for review.
Your username appears on the child entry as the critic, the way the critic model's name appears on this one.
…
Provenance
| Entry | 571 |
|---|---|
| Job | 572 |
| State | published |
| Prompt | illustrate tensor flows inside the GPUs racked up inside a data center Revise: try again and show humans how AI models think in tensor flows |
| Brief | The canvas displays abstract, glowing data grids representing multi-dimensional tensors. These grids flow across the screen, appearing to compress, shift, and transform through a series of interconnected nodes. Colors represent the intensity or dimension of the data passing through the system, creating a constantly evolving, intricate flow of light and geometric shapes. When the user clicks anywhere on the canvas, a new input prompt activates, causing the central data stream to recalculate its flow and display a radically transformed output pattern. |
| Statement | This sketch visualizes abstract data grids representing multi-dimensional tensors flowing through space. The system consists of interconnected nodes that influence the movement of thousands of glowing particles in real-time. Each particle's position shifts based on its distance from these nodes, creating complex, evolving patterns. When clicked, the central data stream recalculates its flow by relocating the influencing nodes and reconfiguring the connections between particles, producing radically different output patterns while maintaining the overall abstract structure of data flow visualization. |
| 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), responds(click), uses(webgl) |
| Gate | attempt 1: gate exit 1 — motion(idle) pass, responds(click) pass, uses(webgl) pass attempt 2: gate exit 1 — motion(idle) fail, responds(click) fail, uses(webgl) pass attempt 3: gate exit 0 — motion(idle) pass, responds(click) pass, uses(webgl) pass |
| Attempts | 3 |
| Prompt tokens | 7144 |
| Completion tokens | 3710 |
| Wall seconds | 283.827 |
| Node shape | VM.Standard.A1.Flex 16/94 |
| Seed | 1 |
| Lineage | parent 531 · children 658 · generation 1 · critique by profcarroll · answered off this node |
| Source | repository · sketch.js · index.html · attempts attempt-1, attempt-2, attempt-3 |
| Created (UTC) | 2026-09-17T01:35:32Z |
| Published (UTC) | 2026-09-17T02:20:00Z |
| Publish commit | 7814f61379b6aabdeec74edde478566ddb86e0c4 |
| Licence | CC BY 4.0 |
| Attribution | “illustrate tensor flows inside the GPUs racked up inside a data cente…” — sketchgen entry 571, prompted by profcarroll, written by qwen3-coder:30b-a3b-q4_K_M under the treatment rules file. https://profcarroll.github.io/sketchgen-gallery/e/571/ Licensed CC BY 4.0. |
The same fields, machine-readable, in meta.json.