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23 lines
719 B
Markdown
23 lines
719 B
Markdown
---
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type: source
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title: "Towards Semantic Observability"
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author: "Leonard Tang (@leonardtang_)"
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url: "https://x.com/leonardtang_/status/2040122646197612557"
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date: 2026-04-03
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domain: ai-alignment
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format: tweet
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status: unprocessed
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tags: [observability, monitoring, ai-systems, infrastructure]
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---
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## Content
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Link to article: "Towards Semantic Observability" - discusses how traditional observability relies on knowing failure behaviors in advance.
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353 likes, 10 replies.
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## Key Points
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- Traditional observability assumes you know failure behaviors in advance
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- Proposes semantic observability as an alternative approach for AI systems
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- Addresses the challenge of monitoring systems with unpredictable failure modes
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