Freenet is also based on middle-out compression.

No. Trying to push 30TB into Freenet will be interpreted as an attack on the network by other peers and they'll disconnect from your peer.

Freenet is better viewed as a communication medium than a storage medium. Data is prioritized according to demand, somewhat like an LRU cache. You can't upload 30TB and expect the network to preserve it for you.

On liability, running a Freenet peer is more like running network infrastructure that automatically routes and caches other people's traffic than intentionally publishing it. US law explicitly recognizes this distinction in the DMCA's provisions for transitory network communications and system caching. We discuss this in more detail in the FAQ.

You obviously haven't tried Freenet. You can join our room on River and you'll see no spam, no fraud, no hate speech, none of that.

Decentralized doesn't mean unmoderated. Systems built on Freenet can be moderated however their creators and communities want. River is moderated.

The difference is that nobody running one service gets to decide what everyone else is allowed to run.

Thanks for your questions, Freenet caches data but it isn’t meant to be a long-term storage network. It’s better to think of it as a communication system. Data persists as long as at least one node remains subscribed to it. If nobody subscribes (including the author), it will eventually disappear from the network. So yes, if only your node subscribes then the data will only exist there and won’t be available when your machine is offline. But if other nodes subscribe it will be replicated automatically and remain available even if your node goes offline.

Not from 2023, the linked video is from last month. https://www.youtube.com/watch?...

To address the question: "Where can I find open-source, local-only AI solutions?"

There is a vibrant online community called localllama dedicated to this very topic. Localllama is a great resource for individuals interested in running AI models locally without relying on cloud services. You can explore a variety of models and tools within this community.

One popular option is 'llama.cpp', a high-performance library for running large language models locally. 'llama.cpp' is designed to be efficient and can run on both CPUs and GPUs. For those who prefer a more comprehensive framework, the Hugging Face Transformers library is another excellent choice. It supports a wide range of models and provides extensive documentation and community support.

While a GPU is recommended for optimal performance and faster inference times, it is possible to run these models on a CPU. However, be prepared for significantly longer processing times if you choose to use a CPU.

You can block GoogleOther, GoogleOther-Image, GoogleOther-Video. They are all for Google research tools doesn't block your site from being indexed for the search engine.

'Google-Extended' can be blocked in robots.txt to prevent the content being used for AI training.
If the block is present that then the contents will only be used to build the search index and not train Gemini.

Update Users set ban=1 where bookid=123 and review_score=1 and review_date '2023-Jan-31'

The new Freenet is written in Rust.

lol - same thing with pilots ;)

Thank you!

You're very welcome :)