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10891

Evolving Scala

There is always ongoing discussion about the future direction of the Scala language. How fast should it move? What needs to be improved? Should the language change at all? This article discusses how Scala must keep evolving , why that evolution is necessary, and what directions we expect that evolution to take. We…

10896

Cottagecore Programmers

Every programmer I know has at some point longingly expressed how “[they] want to work with [their] hands”. Some say they wish they were a carpenter, some want to be in the fields on a farm, some want to raise chickens, or milk cows. It is however inevitable that I either hear someone say it or agree with it at some…

10898

Qwen2.5-VL-32B: Smarter and Lighter

QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD Introduction At the end of January this year, we launched the Qwen2.5-VL series of models, which received widespread attention and positive feedback from the community. Building on the Qwen2.5-VL series, we continued to optimize the model using reinforcement learning…

10906

Move on to ESM-Only

Three years ago, I wrote a post about shipping ESM & CJS in a single package , advocating for dual CJS/ESM formats to ease user migration and trying to make the best of both worlds. Back then, I didn’t fully agree with aggressively shipping ESM-only , as I considered the ecosystem wasn’t ready, especially since the…

10912

Technicalities of Homeworld 2 Backgrounds

Just kidding. Of course, I have something to say about this. In the company, we look at the art of Homeworld from time to time and bow to the creators of this masterpiece. Once, we talked about how great the background look and how interesting this sketched style is. There is something…some details seem…special to us:

10917

Bitter Lesson is about AI agents

The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed…