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Comment Re:Where does the data live? (Score 4, Informative) 26

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.

Submission + - New Freenet Network Launches With River Group Chat (freenet.org)

Sanity writes: Freenet’s new generation peer-to-peer network is now operational, along with the first application built on the network: a decentralized group chat system called River.

The new version is a complete redesign of the original project, focusing on real-time decentralized applications rather than static content distribution. Applications run as WebAssembly-based contracts across a small-world peer network, allowing software to operate directly on the network without centralized infrastructure.

An introductory video demonstrating the system is available on YouTube.

Slashdot previously covered the reboot of Freenet in 2023 in this article.

Comment Checkout localllama (Score 5, Informative) 192

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.

Comment Re:Best of luck (Score 5, Insightful) 54

Locutus is primarily designed for decentralization, not anonymity - which will make it less suited to IP theft than various other technologies that are already pervasive, the same is true of a lot of the other "people you don't want to be your early adopters" that you mention. It's definitely a risk for systems like Freenet, but it's a manageable risk.

Comment Re:Nice to see Ian is still at it. (Score 5, Informative) 54

Not quite sure how reality will go for this project at least based on comments here so far

Most of the negative comments so far are from people who I doubt spent 20 seconds looking at our site, so I hope they don't color your judgement. Read through our user manual and form your own opinion.

Of course, the irony of using Youtube and Google Docs for the presentation kind of hurts.

Once there are viable alternatives on Freenet we'll use them.

I remember a few years back thinking how the promise of Freenet was so easy to achieve today between low power computers, cheap storage, and bandwidth... yet we are stuck with what we have.

I think the time is right, which is exactly why I'm doing what I'm doing :)

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