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WeTransfer updates T&Cs, allows it to use your data to train AI

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    Same, but for enshittified apps. Just do your job goddammit; no more, no less.
  • WhatsApp rolls out AI-generated summaries for private messages

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    So I think, but I'm not sure, this is for group chats. Group chats are only encrypted to/from the server because the server broadcasts the message to each recipient. As the messages are unencrypted on the server, they can feed them to LLMs. This is different to Signal. On Signal it's your phone encrypting each copy of the message before sending to each recipient individually.
  • No JS, No CSS, No HTML: online "clubs" celebrate plainer websites

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    Gemini is just a web replacement protocol. With basic things we remember from olden days Web, but with everything non-essential removed, for a client to be doable in a couple of days. I have my own Gemini viewer, LOL. This for me seems a completely different application from torrents. I was dreaming for a thing similar to torrent trackers for aggregating storage and computation and indexing and search, with search and aggregation and other services' responses being structured and standardized, and cryptographic identities, and some kind of market services to sell and buy storage and computation in unified and pooled, but transparent way (scripted by buyer\seller), similar to MMORPG markets, with the representation (what is a siloed service in modern web) being on the client native application, and those services allowing to build any kind of client-server huge system on them, that being global. But that's more of a global Facebook\Usenet\whatever, a killer of platforms. Their infrastructure is internal, while their representation is public on the Internet. I want to make infrastructure public on the Internet, and representation client-side, sharing it for many kinds of applications. Adding another layer to the OSI model, so to say, between transport and application layer. For this application: I think you could have some kind of Kademlia-based p2p with groups voluntarily joined (involving very huge groups) where nodes store replicas of partitions of group common data based on their pseudo-random identifiers and/or some kind of ring built from those identifiers, to balance storage and resilience. If a group has a creator, then you can have replication factor propagated signed by them, and membership too signed by them. But if having a creator (even with cryptographically delegated decisions) and propagating changes by them is not ok, then maybe just using whole data hash, or it's bittorrent-like info tree hash, as namespace with peers freely joining it can do. Then it may be better to partition not by parts of the whole piece, but by info tree? I guess making it exactly bittorrent-like is not a good idea, rather some kind of block tree, like for a filesystem, and a separate piece of information to lookup which file is in which blocks. If we are doing directory structure. Then, with freely joining it, there's no need in any owners or replication factors, I guess just pseudorandom distribution of hashes will do, and each node storing first partitions closest to its hash. Now thinking about it, such a system would be not that different from bittorrent and can even be interoperable with it. There's the issue of updates, yes, hence I've started with groups having hierarchy of creators, who can make or accept those updates. Having that and the ability to gradually store one group's data to another group, it should be possible to do forks of a certain state. But that line of thought makes reusing bittorrent only possible for part of the system. The whole database is guaranteed to be more than a normal HDD (1 TB? I dunno). Absolutely guaranteed, no doubt at all. 1 TB (for example) would be someone's collection of favorite stuff, and not too rich one.
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    Hold on let me find something[image: 1b188197-bd96-49bd-8fc0-0598e75468ea.avif]
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    Interestingly it loads today. I have AdAway on my phone and PiHole in my home network
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    Okay, I'd be interested to hear what you think is wrong with this, because I'm pretty sure it's more or less correct. Some sources for you to help you understand these concepts a bit better: What DLSS is and how it works as a starter: https://en.wikipedia.org/wiki/Deep_Learning_Super_Sampling Issues with modern "optimization", including DLSS: https://www.youtube.com/watch?v=lJu_DgCHfx4 TAA comparisons (yes, biased, but accurate): https://old.reddit.com/r/FuckTAA/comments/1e7ozv0/rfucktaa_resource/
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    Wow, that's really concerning! It's crazy how these breaches can lead to such massive losses. If anyone's dealing with crypto fraud, I’ve heard Segev LLP is a solid firm that helps people and companies navigate these situations. Stay safe, everyone!