Ah yes! I almost do that already. With RSS as well. So you can combine communities and RSS Feeds, not mastodon users yet though. It’s kind of fun standardizing all the different ActivityPub implementations into a single data model. Mastodon timelines or users are essentially whole communities.

To be honest, building a web-version of that pipeline as a NPM package might be helpful for others, piping in all the different types of fediverse content into a single stream.

I’ve had an idea, that I could easily pivot to this and become a FOSS solution. But, I wonder if it actually solves a problem. Essentially, I wanted my lemmy instance to allow sign-ups. But, the posts and channels were auto-generated. So when you log into the app or sign-up it creates a community in the instance along with it. (loom.nyc/c/pexavc) and then all the posts are automatically generated from the posts you save anywhere in the fediverse. (The app supports lemmy and mastodon for now). But, this would also allow all your bookmarks to essentially “federate”.

Edit: Tbh, it sounds like a more “silent” cross-posting

Removed the other comment.

Because I think I get the point now. I actually never heard of these services before. And didn’t realize people liked to share their “saves/bookmarks”. Or have people actively follow what they are bookmarking.

It’s super interesting.

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Which NYT rss feed are you using? Mine seems to have paywalled articles + is it maybe the app you are using? It’s surprisingly easy to crawl the full text to display it

Bowling Alleys (some), late night museum tours, late night roller skating.

They all have exposure to alcohol still. But can be enjoyed sober.

I’ve been attempting to build systems to make this “robustness” redundant across all my works, but I always feel there’s something more that I missed. I can’t tell if this task is simply never-ending or I just lack the knowledge of covering all the dots from the get-go or both.

When it comes to iOS, Here’s a cool guide for reverse engineering .ipas. https://github.com/ivRodriguezCA/RE-iOS-Apps . I would think applying a sort of comparison of the static analysis with a published app against the compiled repos version would be a possible first step

how is that possible, clouds are even harder to dodge

Actually am looking at this exact thing. Compiling them into an open source package to use on Swift. Just finished nsfw. But everything you mentions should be in a “ModerationKit” as well. Allowing users to toggle based on their needs.

Yeah. Have been thinking of this exact scenario. How to create solutions around anything that might “filter” while respecting the worldviews of all. I feel the best approach so far, is if filters are to be implemented. It should never be a 1 all be all and should always be “a toggle”. Ultimately respecting the user’s freedom of choice while providing the best quality equipment to utilize effectively when needed

A little bit easier than using the wayback machine:

https://www.reddit.com/r/reddit.com/

oh i see, just saw your other comment as well

good point, but was just providing samples. I myself would gladly create a simple package for inferencing using a properly licensed model file.

Edit: Linked a MIT keras model for instance, also thanks for the tip didn’t know about GPL / BSD relationship

hahahahaha, thank you

Isn’t that the tech tips YouTube guy? What does he have to do with selling 11 windows

Also found this cool semi-related OS project

https://github.com/oneloveipfs/ipfsVideoUploader

For storage not distribution I think

https://www.reddit.com/r/ipfs/comments/c0wdeo/dtube/er8qor5/?utm_source=share&utm_medium=mweb3x&utm_name=mweb3xcss&utm_term=1&utm_content=share_button

I have been mapping out a possible way to do this. Pickling and scattering frames across the network, coupled with a client that stitches and buffers into a video. Whereas the manifest for each frame hash is compiled and stored separately.

I feel such a service is definitely possible. As for consumer/product worthiness I feel the other comments kind of covers the variables as to why you probably haven’t found a strong solution yet to streaming.

I definitely feel it is growing or at least it’s still in active development. I feel a lot of people either haven’t grasped it yet (aside from the NFT craze) or are not fond of the process of deleting content stored onto the network. Also a true real-time experience would require some more research on latency.

TikTok and Reels with their influencers too. “If yOu ArE NoT uSiNg THesE 10 AI ToOls, yoUr …”. Granted though, some of them are actually educative. But, the ones with quick transitions, short don’t seem very authentic.