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 and performative productivity
It's worth asking whether LLMs are actually making us more productive at all—and if so, what we might be sacrificing in return.
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
2025: The year in LLMs
This is the third in my annual series reviewing everything that happened in the LLM space over the past 12 months. For previous years see Stuff we figured out about …
An LLM wiki changed how I work
And everything else I learned about productivity this year
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 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
LLMs Are Accelerating the Open Source Sustainability Crisis
Adam Wathan, the creator of Tailwind CSS, has been speaking about how LLMs have made his project more popular than ever…while also making it fall apart financially, causing him to fire 75% of his engineers. “I think AI is a huge reason why our business is struggling, even though it’s making Tailwind more popular than ever.” — Adam Wathan (12:03) How is this possible? A major cause is that LLMs are blocking Tailwind’s creators and users from forming a relationship with each other.
Public LLM exceeds superforecaster on Forecast bench by EOY 2026?
41% chance. Resolves to YES if any LLM released in 2026 exceeds the superforecaster baseline on ForecastBench by July 2027. Resolves to NO if this does not happen, or if after January 1, 2027 we have results from enough LLMs (e.g. the leading models from the major AI labs at the time) to be confident this will not occur. If The Forecasting Research Institute tells us how this market should resolve, then we will go with what they say.
State of AI 2025: 100T Token LLM Usage Study | OpenRouter
Read OpenRouter's 2025 State of AI report — an empirical 100 trillion token study of real LLM usage, model trends, and developer insights.
Andrej Karpathy on Twitter / X
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.— Andrej Karpathy (@karpathy) May 19, 2026
Peter Gostev on Twitter / X
I've got a fun new benchmark for you where most LLMs are doing pretty badly - "Bullshit Benchmark".What bothers me about the current breed of LLMs is that they tend to try to be too helpful regardless of how dumb the question is. So I've built 55 'bullshit' questions that don't… pic.twitter.com/4o4quN5EFR— Peter Gostev (@petergostev) February 24, 2026
One year as an AI Engineer: The 5 biggest misconceptions about LLM reliability I've encountered
535 votes, 59 comments. After spending a year building evaluation frameworks and debugging production LLM systems, I've noticed the same…
Avoiding Digital Productivity Traps - Cal Newport
Last week in this newsletter, I summarized some interesting results from a study that analyzed the behavior of 164,000 knowledge workers. It found that introducing ... Read more
