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'

Also, https://mahindrausa.com/Tracto... which you can buy right here in the USA, get spare parts and repair on your own.

https://www.phonearena.com/new...

has been is that they are thermally constrained and achieve these remarkable results when its starts cold. As soon it heats up the processors starts throttling and doesn't do well compared to Qualcomm, Exynos etc.
This is why it does well on Geekbench benchmarks but not so well in some of the other benchmarks.

This is precisely why ICANN should stop requiring postal and/or phone number in the WHOIS records.

It is not just Samsung other manufacturers are in the same boat. The Motorola G4 Plus for example was sold with the promise that it will get Oreo in a future update. It yet to see an OS update 9 months after release. In a few months, Google will release the next version of Android. At this point it looks Lenovo/Motorola has played a bait and switch.

While desktop OS support multiple 10-year old hardwares it a pity that Google has not been able to come up with a update mechanism which can support phone older than 2 years. Whatever updates Google provides is limited to a few devices, My 4-year old Android non-Google phone is still very capable and meets my needs but the fact that it has no security updates scares me.

calculate the image hashes.

There are several libraries available to calculate image hashes that can be built into a desktop tool
For example: https://github.com/JohannesBuc...

The Android version is available on the Play Store: https://play.google.com/store/...

Actually they didn't... I interviewed for a position at a company that handles all of the backend VoIP for Google... they may have been talking / looking at more than 1 company at the same time. (Didn't get the job darnit... )

Set the connection as a metered connection. Windows Update will not pull updates over the connection.

See The Five Gyres

Then you don't buy the hammer - or you use the one that they're giving away for free (open source) but you don't get to call it their hammer (ref: Amazon).