August 11, 2026
Wrist pain? No, world-changing AI
RSI Simulator
A brainy AI game drops, and the crowd instantly turns it into an acronym roast
TLDR: Paradigm released a browser game that turns big questions about AI improving itself into something you can play with. The comments immediately stole the show, with people clowning the “RSI” name, joking about carpal tunnel, and comparing the whole thing to doom-filled classic Universal Paperclips.
A serious new web game about building super-smart AI somehow got greeted less like a research tool and more like an open mic night. The creators say RSI Simulator is meant to help people understand how an AI lab might grow by juggling workers, computing power, and data until the system starts speeding itself up. It’s based on academic models, not a crystal ball, and there’s even an explorer for people who want to poke at the knobs. In plain English: it’s a playable thought experiment about whether AI can help build even better AI, and what might slow that down.
But the real fireworks were in the reactions. The strongest mood? Immediate acronym chaos. Multiple commenters admitted they saw “RSI” and assumed this was about wrist pain, repetitive strain injury, or even a carpal tunnel predictor, not an economics-flavored AI simulator. That naming choice got roasted fast, with one person flatly noting the acronym was “already taken.” Others went for pure comedy: “i lost” became the perfect tiny review, while another commenter compared the whole thing to Universal Paperclips, the famously bleak idle game about runaway optimization, basically saying, yes, fun game, also humanity is doomed. So while the article talks about bottlenecks and AI progress coming in bursts, the comment section turned it into a mix of acronym confusion, gamer humiliation, and dark little jokes about our automated future.
Key Points
- •Paradigm released RSI Simulator, a web game where players manage labor, compute, and data to model AI research and recursive self-improvement.
- •The simulator is based on economic models from The Economics of Recursive Self-Improvement and related research, but the article says it is calibrated for pedagogy rather than prediction.
- •Paradigm also released an explorer tool for visualizing and interacting with the underlying models and parameters.
- •The article presents recursive self-improvement as a major factor in understanding future AI capability growth and possible sharp inflection points.
- •The article’s takeaways emphasize that compute, data, and human research act as complementary inputs, so bottlenecks can limit or interrupt self-sustaining AI acceleration.