self-evolution: can the system improve itself iteratively?

[genmini-ai]

we have the initial design ready, and wait to see how the current system perform (eval metrics over multiple turns)

also reading these papers

• https://arxiv.org/pdf/2504.20073: 1) works for SLMs that require training, may be useful later w/ distillation
• https://arxiv.org/pdf/2505.18098: 1) works for LLMs w/ API 2) dont think this is scalable and effective, for slightly more complex env this learned MLP will crash)

[genmini-ai]

evolution status update: prompt only evolution

• major gaps identified

• score breakdown during evolution

Major Gaps: PDF evolution (10 iterations) showed extreme volatility with multiple score crashes due to accuracy violations (fabricated numerical data like "60% faster diagnosis"), image extraction failures (architecture diagrams replaced with placeholder text), and visual balance issues (text-heavy presentations lacking compelling visuals). Topic evolution demonstrated inconsistent improvement with occasional regressions.

Successful Improvements: Achieved perfect scores (5/5) in visual quality and narrative development across multiple runs. Topic Evolution 1 showed steady progression from 4.13→5.0 with excellent logical structure and content coverage. Professional design consistency and information hierarchy were reliably improved.

Failed Attempts: PDF evolution's extended 10-iteration cycle created instability rather than improvement, suggesting diminishing returns. Visual-textual balance repeatedly regressed (scores dropping from 4→2), and accuracy recovery was inconsistent—some iterations corrected fabricated data while others reintroduced it. No autonomous tools were discovered despite extended iteration periods.

Key Insight: Optimal iteration cycles appear to be 4-6 iterations; longer cycles (10+) introduce instability. System needs accuracy validation mechanisms and convergence detection to prevent performance degradation.

[genmini-ai]

0831: updated to prompts generated from self-evolution! so i'd say it's working!!!