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)
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
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.
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
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.

Extensible Software in the age of LLMs | Jeremy Morrell
Solid core + capability-based sandboxes + LLMs = Users with superpowers

Silicon Valley has a science fiction problem | Aeon Essays
Tech titans claim the genre inspired them. But all they’ve done is graft their politics onto stories of a better future

The Internet Ideology: Why We Are Allowed to Hate Silicon Valley
It knows how to talk about tools but is barely capable of talking about social, political, and economic systems that these tools enable and disable, amplify and pacify. Why the “digital debate” leads us astray.

Brandon Stewart on Twitter / X
1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. pic.twitter.com/5LdFvzbFaf— Brandon Stewart (@b_m_stewart) May 13, 2026

Histomat of F/OSS: We should reclaim LLMs, not reject them
A few days ago, I came across a blog post titled On FLOSS and training LLMs that articulates a growing frustration within the free and open source software…
Happy, those able to know the causes of things
[This is a guest post by Nestor Guillen, crossposted from his blog. This blog post was initially written in a different file format and converted using AI. — T.] Keywords: LLMs, cultural tech…

Why Silicon Valley can’t fix itself
The long read: Tech insiders have finally started admitting their mistakes – but the solutions they are offering could just help the big players get even more powerful

What technology takes from us – and how to take it back | Rebecca Solnit
The long read: Decisions outsourced, chatbots for friends, the natural world an afterthought: Silicon Valley is giving us life void of connection. There is a way out – but it’s going to take collective effort

The idea of a "tech industry" has always relied on "computer" being a special kind of medium, akin to alchemy. And if tech demands to be king, AI hype has now elevated LLMs to a king of kings. But the solipsism has hit a dead end. The only way forward is to recognize that computers are not special.
LLMs are just normal technology. But tech is just a normal medium.
productpicnic.beehiiv.comfor articles and research on the use of llms outside of tech, focusing on examples that show it's usefulness beyond tech as a demonstration this isn't just "silicon valley bro hype." these examples do not dismiss the real harms that exist but rather show it's better to recognize they aren't going away and help us focus on how to regulate it + help people understand how to use them properly (i.e., it's not replacing anybody if it's being used right).