Can GeForce GTX 1660 SUPER run while True: learn()?
GreatThe GeForce GTX 1660 SUPER handles while True: learn() well at 1080p, delivering approximately 1081 FPS at High settings — above the 60 FPS target for smooth gameplay. It can also achieve smooth 1440p at around 811 FPS.
while True: learn() – GeForce GTX 1660 SUPER FPS Data
| Quality | 1080p | 1440p | 4K |
|---|---|---|---|
| Low | 999+ fps | 999+ fps | 676 fps |
| Medium | 999+ fps | 999+ fps | 541 fps |
| High | 999+ fps | 811 fps | 432 fps |
| Ultra | 879 fps | 659 fps | 351 fps |
Estimated FPS · actual performance may vary based on drivers and settings
Minimum System Requirements
Genres
About
while True: learn() is a 2019 indie simulation puzzle game that blends education with humor, casting you as a machine learning specialist competing against your surprisingly talented cat. The game challenges you to build neural networks and solve increasingly complex puzzles while working toward a cat-to-human translation system, all while unlocking quirky cat outfits and earning in-game wealth. Its unique premise and educational focus earned it a solid 75/100 rating.
The game is exceptionally accessible on PC, requiring only an entry-level GPU with a benchmark score around 96 and just 2 GB of RAM to run smoothly. Most modern integrated graphics and budget GPUs will handle while True: learn() without any issues, delivering solid FPS performance even on older systems. This isn't a graphics-intensive title, so you won't need to worry about demanding performance benchmarks or adjusting graphics settings—it runs well on virtually any gaming PC built in the last decade.
If you enjoy puzzle games with clever writing and educational mechanics, while True: learn() offers a refreshing experience that doesn't require cutting-edge hardware to enjoy. Its approachable difficulty and witty premise make it worth trying, especially if simulation games appeal to you.