derrick has started yet another project
101.9K posts
@dvsch
Post-AI artist. Product @titlesxyz
my contrarian first-principles take after 1 month in sf: - taste is the new bottleneck - being high agency is orthogonal to credentials - the only non-trivial leverage left is shifting the overton window stochastically via the irl connection economy.
Technologists used to create things like UNIX and the GUI. Today the average NYU computer science grad still thinks that making a sticky note canvas app with jiggly css effects is the height of software creativity
If you use Claude in French it will refuse to work past 5pm
What does an art practice look like when it’s dreaming? This spring, TITLES and @GrayAreaorg gave five artists an unusual brief: train a custom AI model on your own creative practice, and see what it dreams up. On May 9th, Arvida Byström, Huntrezz Janos, Lou Fauroux, Yvonne Fang, and Sharon Zheng unveil their models for the first time, and explore what happens when a body of work begins generating from within itself. Curated by Alice Scope (@alicescope_) Free RSVP at the link below. Saturday, May 9, 2026 Doors at 6:30 PM Gray Area / Grand Theater 2665 Mission St, San Francisco
Actual feedback we’ve gotten over the last few years: 2019: The what? For what? Why spend time on this? Maybe you should try doing something else. 2020: Why would you keep spending time on this? Will people ever care about it? 2021: What's the use case? Are people really going to have a machine create an image? 2022: The images look bad and blurry. Will this ever get good enough to create decent images? 2023: I can see images improving, but videos are pretty bad. Will it ever be able to make at least one decent clip? 2024: It can’t do human anatomy well. Will it ever be able to make hands with five fingers? 2025: There’s no consistency in the characters and worlds between scenes. Will it ever get better? 2026: The acting is not A-tier, it’s more B-tier acting. Will it ever get to A-tier? (We got this one just a few hours ago.)
Scoop: Meta CEO Mark Zuckerberg said using employees’ computer activity to train its AI models could give the company an edge over rivals, arguing that its staff are of higher average intelligence than contractors typically used by data-labeling firms.
