On bsky, like a few AI/tech things (simonw, dan abramov, jeff dean, ethan mollick etc, and the people in their replies). Then use discover and this 'for you' feed - https://bsky.app/profile/spacecowboy17.bsky.social to find additional things to like. Then follow the people who post what you're liking. (spacecowboy17 is running a feed that looks at your likes and then populates the feed with people who have a similar like cluster to you). Consider adding this anti-ai-ai labeler if you're put off by some people - https://bsky.app/profile/antiantiai.bsky.social
I think the bsky ML/tech content is relatively thin and people are overstating its volume. But it does exist, and some of it is not posted elsewhere. (Or the posters aren't at least.)
I don't know how your twitter is tuned, but I'm overwhelmed by the volume of meaningful twitter ML info. If you turn on swipe to 'not interested in this post' and bookmark/like/click even a few posts (and maybe follow a few AI people), it really becomes a feed of just ML info very quickly. And it's pretty easy to get the engagement bait filtered out this way too.
There is still a lot of ML in my Twitter feed, it's just over the years it morphed to the fad of the month (currently Claude Code mostly). And I try to follow new interesting accounts all the time but still the quality seems to be going down.
I think the bsky ML/tech content is relatively thin and people are overstating its volume. But it does exist, and some of it is not posted elsewhere. (Or the posters aren't at least.)
I don't know how your twitter is tuned, but I'm overwhelmed by the volume of meaningful twitter ML info. If you turn on swipe to 'not interested in this post' and bookmark/like/click even a few posts (and maybe follow a few AI people), it really becomes a feed of just ML info very quickly. And it's pretty easy to get the engagement bait filtered out this way too.