From 7f4732e5089b1430e736bc6a8b8578a674f31f36 Mon Sep 17 00:00:00 2001 From: Agando Date: Fri, 23 Oct 2026 17:38:10 +0200 Subject: fix(newos4): measure predictor accuracy over paired predictions (v4.6.56) The accuracy readout was structurally 0%: module-predictor.js:187 incremented the denominator on every observed run while the numerator only moved when a stored prediction existed, and predictions were stored only by the manual `predict` command (the AI tool predict_task computed one and discarded it). Replaying the AI loop's own call path with 6 tasks printed "Predictions made: 0, Accuracy: 0/6". - pending predictions with a 15m TTL, consumed by threaded id -> task hash -> cli-only similarity >= 0.5; unpaired runs never enter the denominator - duration scored within 30% or 3s (integer predictions vs fractional observations) - errorPct capped at 500% so one miss cannot poison the mean error - schema v2: v1 correct/total counters dropped on load, observed runs and the prediction counter kept; task text stored as an FNV-1a hash only - tuning (confidence-threshold, min-data-points, pair-ttl) persists - min-data-points now scales confidence (was declared, printed, settable, unread) - AI loop registers a prediction per turn and threads its id; predict_task returns predictionId; durations exclude chat-lock queue wait - status/dashboard say "n/a" instead of "N/A%", and carry paired count, mean error, turns error, pending and unpaired counts - test: modules/test/test-predictor-accuracy.js (26 assertions) Live on main.html v4.6.56: fresh session -> "Accuracy: n/a (0/0 paired)"; one paired run -> "100% (1/1 paired) - mean error 5% - turns +-0.0". --- downloads/system-info.html | 262 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 262 insertions(+) create mode 100644 downloads/system-info.html (limited to 'downloads/system-info.html') diff --git a/downloads/system-info.html b/downloads/system-info.html new file mode 100644 index 0000000..4991292 --- /dev/null +++ b/downloads/system-info.html @@ -0,0 +1,262 @@ + + + + + + + + + + + + newOS4 System Info + + + + + + +
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⚙️ newOS4 System Info

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v4.6.27 • System Snapshot • Mobile-Optimized

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🖥️ System Overview

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Version
v4.6.27
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VFS Files
467
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VFS Dirs / Size
181 · 1.4 MB
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Memory Heap
16.3 MB
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Graph Nodes / Edges
41 / 49
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Ollama
Connected
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Active Model
glm-5.3:cloud
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System Errors
7 ⚠️
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📦 Modules

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Loaded
46
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Core
23
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Extensions
24 available
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Modified
1 (Orchestrator)
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Core: filesystem, AI, agents, memory graph, neural VFS, orchestration. Extensions: editors, shell, WebDAV, cron, mindmaps, Three, Course, Media, JSConsole, and more.

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📊 Token Usage

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Total Requests
500
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Total Tokens
10.96M
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Prompt / Completion
10.01M / 956K
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Time Span
~22 hours
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Provider
Ollama (100%)
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Avg Latency
18.6s
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glm-5.3:cloud · 203 req7.70M
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minimax-m2.7:cloud · 218 req2.11M
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kimi-k3:cloud · 47 req844K
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gemma4:cloud · 18 req176K
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gpt-oss:120b-cloud · 7 req72.6K
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kimi-k2.7-code:cloud · 7 req58.1K
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🎓 Skills

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Total Skills
39
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Recently Added
generate-info-page
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Categories: system, learning, dev, process, business. Includes newOS4 interactive course, memgraph visualization, mobile HTML optimization, and more.

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🤖 Agents

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Total Agents
3
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Status
All sleeping 💤
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+ + auto-learner + AUTO + sleeping +
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+ + kernel-architect + ARCH + sleeping +
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+ + searcher + SEARCH + sleeping +
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⚡ Tools & Health

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System Online
Yes
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System Errors
7 ⚠️
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Predictor Accuracy
0%
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web_fetch Errors
2 of 4 calls
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Auto-Lessons
3 saved
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web_fetch shows 2 errors — monitor if it persists. Auto-lessons flag anomalies (high token usage, near turn limits) for self-improvement.

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Snapshot: · Regenerate via generate-info-page skill

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