I Think I Have LLM Burnout

The LLM Critics Are Right. I Use LLMs Anyway.

I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.

The LLM Critics Are Right. I Use LLMs Anyway.

I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.

Announcing Burn-LM (alpha): LLM Inference Engine

We're happy to announce the Burn-LM, an LLM inference engine based on Burn! The goal is to support any large model, LLM, VLM, and others, for inference but also for training (pre-training, post-training, and fine-tuning).

llm-wiki

llm-wiki · GitHub

Your LLM Doesn't Write Correct Code. It Writes Plausible Code.

One of the simplest tests you can run on a database:

Various LLM smells

Looks like this ended up on the HN front-page: HN Thread Late last year I started writing a math blog and decided to use LLMs to polish/enhance my writin...

LLM APIs are a Synchronization Problem

Maybe the LLM message APIs should be rethought as a synchronization problem.

I’m Tired of Talking About AI

I don’t want to talk about LLMs anymore.

Andrew Ho on Twitter / X

Not really observations that others before me haven’t made, but:- Despite the seemingly magical nature of LLMs, reflection over a >3 month timescale suggests my total productivity hasn’t increased by over 100%, or perhaps even by over 50%, and a lot of time is actually wasted…— Andrew Ho (@andrewho03) September 3, 2026

There's Something Fundamentally Wrong With LLMs

LLMs aren't trained on the "vast majority of speech," experts warn, a major blind spot that could have sweeping consequences.

The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)

The most important thing when working with LLMs

Blog post: The most important thing when working with LLMs by Steve Klabnik

leobeeson/llm_benchmarks

A collection of benchmarks and datasets for evaluating LLM.

Wolfram LLM Benchmarking Project

Results from Wolfram's ongoing tracking of LLM performance. The benchmark is based on a Wolfram Language code generation task.