You know, both sides can be bad. They're both led by bad people who do bad things and some good things. I've watched the Oct 10th attack videos. They're horrific. I've also watched the videos of civilian buildings in Palestine being have their roofs "knocked on" by a missile, followed shortly after by demolition by additional missiles.. And the Israeli solders dropping grenades on tents.. And the firsthand accounts of doctors talking of children and infants being shot through the head with sniper rounds.
Both country's governments are in the wrong and their civilians are suffering because of it.
And how do you know the building is actually civilian?
If Israel used a roof-knocker it's because they believed there was Hamas infrastructure or supplies in the building.
And there's something inherently wrong about a grenade on a tent? Do soldiers not use tents??
As for the firsthand accounts--all reporting from the ground in Gaza is highly suspect. But it doesn't matter anyway--yes, we have clear evidence of civilians killed by long range fire. We have *zero* evidence of the identity of the shooters.
Hits caught on conveniently rolling cameras. Not hidden cameras, anyone picking targets would have known they were there. What possible reason does Israel have for doing that? Absolutely none. What possible reason does Hamas have for doing that? Framing Israel. Those cases make far more sense as Hamas rather than as Israel.
In the video, it was clearly children and other civilians. I can't find it at the moment.
Here's an article from Reuters about the civilian deaths. You can also pull up satellite images and see for yourself that the country is being levelled. That's not something you do if you're seeking specific individuals. There's just no excuse for killing civilians.
It's insane to compare Hamas and how they treat their citizens with Israel. Can you name a single thing Hamas has done to mitigate its civilian casualties?
It also needs to be able to ensure the signals are coming from a human that actually has authority to command it. Don't really want it taking hand signals from anyone.
That's kind of what learning to code is like, though. I assume you're using an llm because you don't know enough to do it entirely on your own. At least that's where I'm at and I've had similar experiences to you. I was trying to write a Rust program and I was able to get something in a working state, but wasn't confident it was secure.
I've found getting the llm to ingest high quality posts/books about the subject and use those to generate anki cards has helped a lot.
I've always struggled to learn from that sort of content on my own. That was leading me to miss some fundamental concepts.
I expect to restart my project several more times as I find out more of what I need to know to write good code.
Working with llms has made this so much easier. It surfaces ideas and concepts I had no idea about and makes it easy to convert them to an ingestible form for actual memorization. It makes cards with full syntax highlighting. It's delightful.
(I know you're replying to another guy but I just saw this.) I've been programming for 20 years, but I like the LLM as a learning assistant. The part I don't like is when you just come up with craftier and craftier ways to yell at it to do better, without actually understanding the code. The project I gave up on was at almost a million lines of code generated by the LLM, so it would have been impossible to easily restart it.
If you want to do this another way, Tailscale funnel can send public traffic into your tailnet Traefik supports pulling the Tailscale cert from its socket.
Presently I’m running my media directory and sqlite database on NFS (one big single-point-of-failure). My Kubernetes Deployment resource is configured to use the “Replace” rollout strategy (at least I think that’s what it’s called if i’m not misremembering) so there are never two concurrent instances. This means I take downtime during rollouts, but it’s fine for my use case.
One of the more difficult bits (which is not really Jellyfin’s fault) is that the application must run on nodes with access to an adequate GPU to handle any on demand transcode tasks, which requires making the GPU available to them Kubernetes pod and also telling the scheduler which nodes have a GPU and which do not. For that I used node feature discovery along with some intel specific plugin for the GPU (my GPU was an integrated intel GPU).
I'm using it to help me build what I want and learn how. It being incorrect and needing questioning isn't that bad, so long as you ARE questioning it. It has brought up so many concepts, parameters, etc that would be difficult to find and learn alone. Documentation can often be very difficult to parse. Llms make it easier.
Kagi has their own AI assistant that let's you choose any model from the major, and some not so major, providers. You can even hop between them I the same chat. It is also able to search for results using Kagi. This includes any lenses you could configure.
It's worked extremely well for me. Their higher subscription was less than ChatGPT + Kagi. I haven't used Gemini on its own interface yet to compare, though.
Both country's governments are in the wrong and their civilians are suffering because of it.
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