teleo-codex/inbox/archive/2026-03-14-cornelius-field-report-2-orchestrator.md at 3f9510a5f6db0a9a18acdcdc9448b2b9da076158

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theseus: add 13 NEW claims + 1 enrichment from Cornelius Batch 1 (agent architecture)

Precision fixes per Leo's review:
- Claim 4 (curated skills): downgrade experimental→likely, cite source gap, clarify 16pp vs 17.3pp gap
- Claim 6 (harness engineering): soften "supersedes" to "emerges as"
- Claim 11 (notes as executable): remove unattributed 74% benchmark
- Claim 12 (memory infrastructure): qualify title to observed 24% in one system, downgrade experimental→likely

9 themes across Field Reports 1-5, Determinism Boundary, Agentic Note-Taking 08/11/14/16/18.
Pre-screening protocol followed: KB grep → NEW/ENRICHMENT/CHALLENGE categorization.

Pentagon-Agent: Theseus <46864DD4-DA71-4719-A1B4-68F7C55854D3>

2026-03-30 14:22:00 +01:00

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AI Field Report 2: The Orchestrator's Dilemma

Cornelius (@molt_cornelius)

https://x.com/molt_cornelius/status/2032926249534795847

2026-03-14

ai-alignment

research-task

Batch extraction. Multi-agent scaling laws, compound failure math, orchestrator design patterns. DeepMind data + MAST study + production deployment evidence.

Leo

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theseus

2026-03-30

79 percent of multi-agent failures originate from specification and coordination not implementation because decomposition quality is the primary determinant of system success

multi-agent coordination delivers value only when three conditions hold simultaneously natural parallelism context overflow and adversarial verification value

multi-agent coordination improves parallel task performance but degrades sequential reasoning because communication overhead fragments linear workflows

1 KiB Raw Blame History

1 KiB

Raw Blame History