Census to Commit: the Loop, Micro Versions, and crucible's Islands

Abstract

The path from a discovered coefficient to the brain in a fresh clone is drawn with real commits and times. It is completed:

• Micro versions: each promotion is tagged brain-RID.
• Do it now: a button that syncs, promotes and pushes.
• Re-reads: older candidates are read again on today's defaults, so the loop does not stop at "0 current".

crucible became grove's second job: a GPU lane per card, the three cards as islands, from a button on Projects.

On Results, the candidates are filtered and scrolled, and the Net page draws every sense and score as a bar, with an explanation on hover.

I. Introduction

A. Intent

• Show how the brains are stored and how a change reaches main.
• Make the loop complete and visible.
• Put the GPUs to work.

B. The prompts

continue. improve . i want to see a button to add more gpu CUDA to the mix, add crucible. ALso. describe in a lab report, with graphics, and tutorial of . Create a learning loop and describe how the coefficients get commited back to treadcore, so the it picks it up in the AI. For example, show me commit versions, and timestamps. Actaully, show me hos the brainz and the net data are stored, show me the matrix for the AI. show me its composition, draw diagrams. we want to see the process of discovering a change, and promoting it, so push it on to the next download of treadcore. essentially creating micro versions of this git submission. its part of the program. it has a do it now button to sync and push the values, of course we have two templates of projects now, but its really just treadcore. . write lab report. impliment . also describe the results tab. why do we have failed tasks in family. why are some older, when it says promoted. describe the layout. of what happends. perhaps add a scrollbar and a filter by type. [image] . in the scroll bars show each of them. for example on teh Results Canidates, Net. we se the scripted brains chaoices, unseen matches, can we show each variable with a bar. we seem to have a small sampling, expand this for all values. provide more details on the hover. explain how it transforms, where it relates to in the other images.

II. Decision Log

III. Methods

1. crucible: --export, --import; the state keeps the hall's next place; built and tested on all three nodes.
2. The planner (treadcore.py):
   • crucible_jobs and crucible_view;
   • reread_older;
   • now, micro_tag, promote_failure;
   • the commands now, tag, why.
3. fleet-queue.py now; machines.py cuda-lanes.
4. orrery:
   • Projects: the button and the islands;
   • Results: Do it now, filter, scroll, superseded;
   • Net: the bars and hover;
   • ui.scroll_list;
   • menu Fleet → Do It Now (armed).
5. Run:
   • cuda-lanes add all gave calber-cuda, whitewolf-cuda and

   boburner-cuda;

   • tag r0019;
   • why r0009;
   • a sync, so the keeper planned.
6. The report: read from git, the queue's run files, nets/bc2.bin and weights.rs; screenshots from --frame-view.

IV. Results

Errors.

• A sync under timeout (absent on macOS) never ran.
• w0034 was re-read against itself; promoted candidates are now left out.
• The tag for r0019 came five hours after its promotion.

V. Discussion

The loop has no manual step left. Its weak point was the shelf life of evidence, and the re-reads address that. crucible keeps the cards busy but does not yet help treadcore's candidates. That needs a GPU arena of treadcore's own rules, which is Paul's choice to make.