







Large tech companies operate via systems. What that means is that the main outcomes — up to and including the overall success or failure of the company — are…
Is Big Tech's AI Gamble Starting to Look Riskier? - Slashdot
The Washington Post looks at giant tech companies "feeding every available dollar into the cash-incinerating maw of AI machines." They warn "Tech superstars that once had oodles of cash left over at the end of each year are now flipping into the red..." [While optimists expect] huge corporate p...

The Beginning of the End of Big Tech
From politicians to VC firms, everyone is falling out of love with the massive, money-oriented, global technology titans. In their place, we have the chance to build something open and trustworthy.

Big Tech
Big Tech is a name given to the largest technology companies in the United States, which dominate consumer computing technology around the world. The individual companies change, but the interests and practices of these companies largely remain the same, and are at odds with many of the principles of permacomputing.
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

About Us
Around the world, building the internet’s operating system—and a better way to work. In a world of tech companies fighting for growth at any cost, imagine one that gives away its most successful pr…

Traits of Founding Teams That Win — An IT VC’s perspective
By Christopher J. Rust, Founding Partner, Clear Ventures

Habits of High-Functioning Teams
I often struggle to explain what it means to be part of a high-functioning software team. Sure, there are mountains of literature, and an entire genre of LinkedIn thought leadership that professes all kinds of guidelines and heuristics about what makes teams work, but in my experience, it’s hard to internalize these ideas and follow someone else’s model if you’ve never seen what good looks like.
What Is a Tech Company?
The question of “What is a tech company” comes down to how much software and its unique characteristics affects the company’s core business.

With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial.
The backlash against data centers is difficult to understand if your salary depends on your not understanding it.

Your tech stack is not the product
Early stage technology decisions must be, uncomfortably, a means to an end.

A People’s History of Tech
A collective storytelling project to build a more representative history that reflects the human impacts of technology.

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.comone of the reasons why I'm critical of "bigger models will solve this" is that cranking the output velocity of technician work sharpens the need for process work, which is the domain of expertise. process is incredibly hard to get right. most fields are bad at it. and it's *gaining* importance.
Ed
when it comes to LLMs, I have been trying to beat the technician/expert drum. LLMs are becoming master technicians, but they obviously lack integrative capabilities to deploy expertise. but I'm starting to realize that a lot of people don't understand, or don't value the difference.
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077