与「SMA」相关的搜索结果

If AI large-model talent in China is looking for domestic career opportunities, WeChat is actually worth considering. Not many people know that the WeChat team also has its own large model, WeLM, which is closed-source and has already iterated to version V4. At this stage, joining established, scaled large-model teams is the more conventional choice. But there are also people who choose to join WeChat’s relatively small-scale large-model effort, which is somewhat like trying to bottom-fish in the stock market—of course, it still depends on individual judgment and ability to evaluate the situation. Revisit this post in three months.

The Falcon 1 is small potatoes now, but reporting on its development is really what got me hooked on @SpaceX. Loved the tales of a bunch of 20 somethings stuck on Kwajalein Atoll trying to make a rocket fly. The company ended up being one tiny error on the fourth launch from going out of business, but it somehow launched and survived. Am still so amused by @elonmusk reading rocket books post PayPal and now getting to this point. Seems just about impossible. Is a shame there has not been a movie made about these times. Hollywood kinda hates Elon and doesn't want to see it made, but it's the ultimate next chapter to The Right Stuff.

AI coding didn’t just help me build MacMater faster. It helped me notice the small frictions people live with every day. On macOS, there still isn’t a simple native way to right-click in Finder and instantly open a file or folder with the app you actually want. There also isn’t a clean built-in way to right-click and create a new file from your own templates. So people install one app for Finder tweaks. Another for clipboard history. Another for mouse gestures. Another for input switching. But ordinary people shouldn’t need a folder full of tiny utilities just to make their computer feel right. That became the idea behind MacMater: an all-in-one native Mac utility that brings these daily improvements together. Open with your favorite apps. Create new files from templates. Switch input methods automatically. Make your mouse feel better. Bring back anything you copied. AI wasn’t a magic button. It was more like a patient teammate. It helped me unfold ideas, question tradeoffs, rewrite messy thoughts, and keep asking: “Is this actually useful to a real person?” The biggest lesson: AI coding does not remove human judgment. It demands more of it. You still have to know what matters. You still have to say no. You still have to choose simplicity over cleverness. In the end, the best technology disappears. What remains is a small moment: someone opens their Mac, does their work, and feels like the machine finally understands them a little better.