---
title: "Thoughts on LLMs"
url: https://daily.dev/posts/thoughts-on-llms-v1h7lv5f7
source_url: https://muratbuffalo.blogspot.com/2026/08/thoughts-on-llms.html
type: article
source: "Metadata"
published: 2026-08-23T18:42:14.159Z
updated: 2026-08-23T18:42:36.239Z
tags: ["llm", "ai-coding", "distributed-systems", "agentic-ai"]
reading_time: 4
upvotes: 6
comments: 1
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Thoughts on LLMs

**[Metadata](https://daily.dev/sources/muratbuffalo)** · 4 min read · 6 upvotes · 1 comments

## Summary

A distributed systems researcher reflects on two years of writing about LLMs, compiling an index of past posts on the topic. The core recurring take: LLMs excel at high-throughput mediocrity, producing output that looks impressive to non-experts but merely adequate to those with domain expertise (a Gell-Mann amnesia effect). The author values LLMs for offloading mundane project work, especially helpful for ADHD-driven momentum, while insisting the real thinking, writing, and planning still happens in Emacs. A second list rounds up posts where AI intersected with the author's formal-methods and systems research work, including model checking, TLA+ workshops, and AI coding productivity studies.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://muratbuffalo.blogspot.com/2026/08/thoughts-on-llms.html>

## Community discussion

Top comments from developers on daily.dev.

**@jliter85** · 2 upvotes

> I like the way you put this. I use AI a lot, and for me the biggest advantage is keeping momentum going. I can hand off the repetitive stuff, get a starting point, or work through something I’m stuck on and then spend my time improving it and building the parts that actually need my attention. AI is a tool, and learning when to use it is just as important as learning how to use it.

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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-coding](https://daily.dev/tags/ai-coding), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#agentic-ai](https://daily.dev/tags/agentic-ai)

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