---
title: "Local Optimizations Don't Lead to Global Optimums"
url: https://daily.dev/posts/local-optimizations-don-t-lead-to-global-optimums-21ibisejd
source_url: https://ferd.ca/local-optimizations-don-t-lead-to-global-optimums.html
type: article
source: "Planet Erlang"
published: 2024-11-18T13:43:57.264Z
updated: 2024-12-08T20:38:49.782Z
tags: ["ai", "machine-learning"]
reading_time: 27
upvotes: 0
comments: 0
language: en
---

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# Local Optimizations Don't Lead to Global Optimums

**[Planet Erlang](https://daily.dev/sources/planeterlang)** · 27 min read · 0 upvotes · 0 comments

## Summary

Systems often appear stable due to ongoing compensatory mechanisms, but local optimizations without systemic changes can lead to fragility. Friction in a system can be a valuable feedback signal, aiding adaptation and preventing brittle solutions. However, without addressing the root pressures and structural issues, optimizations may simply shift problems rather than solve them. The dynamics of managing these pressures are essential to fostering resilient systems, particularly in the context of technological advancements and automation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ferd.ca/local-optimizations-don-t-lead-to-global-optimums.html>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning)

[View this post on daily.dev](https://daily.dev/posts/local-optimizations-don-t-lead-to-global-optimums-21ibisejd)