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Just today I had to sign up for a service and went to bitwarden app on my phone to generate password (linked to self hosted vaultwarden server) but the new password entry couldn’t be saved into the app because the server was unreachable.

Then I had to go restart my VM and reconnect my VPN. I am now thinking about switching to bitwarden premium and opt-out of self hosting for password managers.


Author here. Bitwarden (as much as I appreciate them!) isn't something I self host, since it’s too critical an application for me (similar to email). I pay for 1Password.


KeepassXC on Syncthing is so easy to use even my girlfriend uses it without problems


Exporting your vault every so often to offline storage (like an encrypted hard drive) is a good happy medium IMO.


This is one reason why I moved from self hosted to their paid offering. The other is that I trust their security better than mine


Virtualization platform tooling can monitor VM operational status and restart when needed to maintain availability.


Some more resources on self hosting and homelab: https://www.avni.sh/posts/homelab/building-your-own-homelab/...

And my advice to someone considering to start self hosting: Start with a setup that consumes less power and once you have the 80% the idea of the services you want to keep running 24x7 then you scale up your server or build/buy a new one.


Thanks for the information. My goal while writing this article was introducing tensors on a high level without introducing too much of other concepts like bases and vector spaces.

After I have written about bases and vector spaces in a separate article in my series I will redefine the definition of tensor in that context.


Yeah, the term matrices also includes vectors. This article was more focus on vectors so that's how I defined it.

In the next article about Matrices[1] and the article before this one [2] I have included this.

[1] https://github.com/bovem/bovem.github.io/pull/67 [2] https://www.avni.sh/posts/linear-algebra/tensors/#matrix-ran...


Well written.

Since it was filed under Linear Algebra, i took it in the strict sense i.e. a vector is an element of a vector space. Now i see that it is more CS focused.


All this talk of replacing junior engineers makes me think:

Aren’t interns and junior engineers paid on their potential rather than the work they produce?

Doesn’t it take a while (like 6 months - 1 year) for any associate to start contributing significantly to the organisation’s output?

A lawyer might delegate the same task to ChatGPT rather than a junior but is the purpose of delegation primary to get the task completed or to give an opportunity for junior to learn the specifics of the task?


From the Article: According to the president, Indonesia's central and regional governments together operate a fleet of 27,000 apps, many of which overlap or aren't integrated. New platforms often get developed every time a new minister, governor or official takes office. One ministry stands accused of operating over 500 different applications.


If you are on iOS then you can use Working Copy [1] to sync notes through GitHub, GitLab, etc.

To automate the process you can create siri shortcuts like

* Obsidian is opened -> Pull the repository

* Obsidian is closed -> Commit Changes -> Push to the repository

[1] https://workingcopy.app/


I love it. It is easy to install and containerized.

Its API is great if you want to integrate it with your code editor or create your own applications.

I have written a blog [1] on the process of deployment and integration with neovim and vscode.

I also created an application [2] to chat with LLMs by adding the context of a PDF document.

Update: I would like to add that because the API is simple and Ollama is now available on Windows I don’t have to share my GPU between multiple VMs to interact with it.

[1] https://www.avni.sh/posts/homelab/self-hosting-ollama/ [2] https://github.com/bovem/chat-with-doc


I found this project through r/selfhosted subreddit.

Post: https://old.reddit.com/r/selfhosted/comments/1bo9tdq/introdu...


I used LangChain and models hosted on Ollama for my latest project [1]. Since I have a GPU now and Ollama is now available for Windows I can build LLM based applications quickly with local debugging.

[1] https://github.com/bovem/chat-with-doc


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