It's worth asking whether LLMs are actually making us more productive at all—and if so, what we might be sacrificing in return.
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
LLMs are not like manufacturing machines - Ross Wintle
LLMs are not just machines. They are machine-building machines! This comes with way more responsibility. And understanding it may change how you use them.
The scientific case for being nice to your chatbot
New research confirms that LLMs often perform better when you encourage them. But why?
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)
Cognitive exponents and LLM leverage
I know a few people for whom LLMs have been a near-immediate multiplier of attention and effort. I know a lot for whom LLMs clearly make them worse at thinking and doing things. So: why?
The LLM Curve of Impact on Software Engineers
In this article, I share my personal mental model of how LLMs affect software engineers at different levels, and why this leads to both excitement and scepticism.
Dan Shipper 📧 on Twitter / X
this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025
How LLMs are and are not like the brain
Hi from buttondown! At the bottom of this newsletter is a bit of administrivia about the new platform How LLMs are and are not like the brain Beneath all the...
The LLM Problem
So far I’ve had nothing to say about the LLM chatbot frenzy. My understanding of the technology is shallow and I’ve no sense for its functional envelope, and lots of other people have had smart things to say. I hadn’t even conversed with any of the bots. But I fell off the wagon a few days ago and put time into GPT3 and (especially) the new GPT4-based Bing chat. I got off Bing’s waitlist a few days before the recent general availability, so I have more hands-on than most people. Plus I caught up on background reading. So, question: Are LLMs dangerous distractions or are they a glowing harbinger of a bright future? (Spoiler: I’m dubious but uncertain.)
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.
Lincoln Michel on Twitter / X
This was my read on AI from the beginning and it proved very true. Whatever hypothetical benefits LLMs have (and they have some), their main use is to waste everyone's time wading through slop. Longer colleague powerpoints. More spam emails. More slop clogging up all the systems. https://t.co/2gtGfqf7KF— Lincoln Michel (@TheLincoln) September 21, 2026
