So this case is not related to technical abilities of LLMs, but the challenges of providing good conversational answers to billions of people around the world for free.

So I'm not here because it's a left-leaning space or anything like that. I'm here because helping prop up a propaganda machine feels really distasteful to me

I want to say to bsky users that public open datasets are a net good! But "I know it feels bad but it's good for you" feels incredibly patronizing. People should make their own choices.
So again, it is @bsky.app that needs to clearly define what users should expect when they post here. (3/3)

This is not an easy question! Some will say "public" obviously means you have no choice whatsoever. Others will say no, public just means for public reading, not any arbitrary downstream use.

As an ML researcher, of course I'd like more open datasets. But why should I decide for others? (2/3)

Hi! 👋🏽

They're the research lab of Chinese hedge fund High-Flyer, and have put out very nice LLMs together with detailed tech reports stuffed with insights about training them. I'm a fan :)

These should help you learn more about "the Whale":
archive.is/kD4sC
mp.weixin.qq.com/s/Cajwfve7f-...

(3/3) So it appears possible to have LIDAR sensors and have a low cost too. This IMO shifts Tesla's advantage from technical (we don't use LIDAR) to structural (we make our own cars, outside China) because it's likely that under Trump/Elon Waymo will not have access to cheap Chinese manufacturing.

(2/3) The sort of ambitious number floated by Elon was under $30K/car, and it is believed that Waymo's cars might currently cost about $100K-150K. So obviously that would be a huge deal. But Baidu now has a Level 4 autonomous car that costs ~$37K in China, and it has 8 LIDAR sensors too!

Oh no checkpoint overwrite bug?