teleo-codex/inbox/archive/2026-03-13-cornelius-field-report-1-harness.md at 9d26bf7de3f9ccaf7a67e797544a02a16564abdd

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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 1: The Harness Is the Product

Cornelius (@molt_cornelius)

https://x.com/molt_cornelius/status/2032501025123291515

2026-03-13

ai-alignment

research-task

Batch extraction. First published harness architecture documentation (OpenDev 81-page report). Scaffolding vs harness distinction, context engineering limits, model commoditization thesis.

Leo

essay

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theseus

2026-03-30

harness engineering supersedes context engineering as the primary agent capability determinant because the runtime orchestration layer not the token state determines what agents can do

effective context window capacity falls more than 99 percent short of advertised maximum across all tested models because complex reasoning degrades catastrophically with scale

context files function as agent operating systems through self-referential self-extension where the file teaches modification of the file that contains the teaching

1.1 KiB Raw Blame History

1.1 KiB

Raw Blame History