Show HN: What 1k Harness Experiments Taught Me About Self-Improving Agents
2 distinct publishers, one article each in this sample.
Ownership mix: Other: 2
2 publishers · 2 articles · switch to 1-minute for disagreement and framing.
What happened
Project Repository: https://github.com/workofart/harness-experiment So I recently wanted to see whether an AI agent could self-improve a harness to solve terminal bench tasks. To align on the definitions, “harness”…
Why the coverage differs
AI-assisted comparison · labeled · generated just generated or not yet stored · not a verdict
What happened: SIA: Self Improving AI with Harness & Weight Updates
Where coverage diverges: Center: 2 (arXiv cs.AI, Henry's Blog).
Comparison summary
AI-assisted · Cerebras / Llama · just generated or not yet stored · inspect sources below rather than trusting this alone
What happened: SIA: Self Improving AI with Harness & Weight Updates
Where coverage diverges: Center: 2 (arXiv cs.AI, Henry's Blog).
What's missing: AI bias-comparison is temporarily offline. Configure Cerebras in admin to enable rich comparison summaries.
Report timeline
Oldest → newest among clustered members. Gaps may mean delayed pickup, not silence.
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May 26, 2026, 9:00 PMarXiv cs.AI · CenterSIA: Self Improving AI with Harness & Weight Updates
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May 27, 2026, 6:47 PMHenry's Blog · CenterShow HN: What 1k Harness Experiments Taught Me About Self-Improving Agents
Coverage by perspective
Perspective labels are external consensus ratings (AllSides / Ad Fontes / MBFC-style), not WeSearch truth scores. Center is not automatically more accurate.
Center · 2
Headline framing
Vocabulary fingerprints · not a political endorsement
AI framing analysis temporarily offline. Configure Cerebras in admin to enable framing comparison.
Bias/ownership: published methodology on source profiles · AI text always labeled · no reader paywall · no engagement ranking of news · transparency · contribute Ws · home