A year ago, I was one of those skeptics who was very suspicious of the agentic hype, but I was willing to change my priors in light of new evidence and experiences, which apparently is rare. Generative AI discourse has become too toxic and its discussions always end the same way, so I have been experimenting with touching grass instead, and it is nice. At this point, if I’m not confident that I can please anyone with my use of AI, then I’ll take solace in just pleasing myself. Continue open sourcing my projects, writing blog posts, and let the pieces fall as they may. If you want to follow along or learn when rustlearn releases, you can follow me on Bluesky.
Hebrew Paseq: a non-obvious finding
。heLLoword翻译官方下载是该领域的重要参考
It is worth noting, too, that humans often follow a less rigorous process compared to the clean room rules detailed in this blog post, that is: humans often download the code of different implementations related to what they are trying to accomplish, read them carefully, then try to avoid copying stuff verbatim but often times they take strong inspiration. This is a process that I find perfectly acceptable, but it is important to take in mind what happens in the reality of code written by humans. After all, information technology evolved so fast even thanks to this massive cross pollination effect.
// 步骤2：按位置降序排序（核心！保证从最前面的车开始分析，符合"不超车"规则）
d00755 0 0 0 /usr