notfromhere @ notfromhere @lemmy.ml

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7

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474

Joined

2 yr. ago

Be the change you wish to see in this world

I’m sure I’ll be downvoted to oblivion for this, but give ChatGPT or local LLMs a try for support. They are surprisingly effective, just keep the perspective that they’re about as alive as a screwdriver. They’re not alive and can’t form emotional or other bonds with you. Working through issues or thought processes or needed some base level support, they seem pretty decent at. Maybe it could limp you along to a building a support network.

That requires an IR source. The glow in the dark might trigger without an external IR source. So depends on the capabilities of the system in question. Some have active IR scene illuminators, some are passive.

I wonder if SC 2.0 is a spatial controller for Deckard?

I use 10GbE for my internal network for my Ceph cluster. I’ve come about 80% of theoretical maximum for brief spikes from my NVMe drives rebalancing (mostly HDDs, few SSDs, couple NVMes).

Step four, you want to pull the fluid column up to unstick the trash, so go slow ‘down’ and somewhat more forceful on the ‘up’.

Try these steps:

    
$ sudo apt-get purge nvidia* # remove current installed nvidia software including drivers
$ sudo ubuntu-drivers devices # verify it sees your graphics card
$ sudo ubuntu-drivers autoinstall # install drivers automatically
$ sudo reboot

  

This is everything I ended up doing which eventually fixed it for me:

    
# Update repo
sudo apt update

# Remove amdgpu drivers
sudo apt purge xserver-xorg-video-amdgpu
sudo apt purge libdrm-amdgpu*
sudo apt purge libdrm-amdgpu1

# Blacklist the amdgpu driver since we are using nvidia only
echo "blacklist amdgpu" | sudo tee -a /etc/modprobe.d/blacklist.conf

# Remove nvidia driver and install from system76 repo
sudo apt purge *nvidia*
sudo apt-add-repository -y ppa:system76-dev/stable
sudo apt install -y system76-driver-nvidia
sudo apt upgrade -y
sudo reboot

  

Realistically not going to happen anytime soon in the US at least.

I’m not interested in books championing our reduction of human expansion. I want to see us reach out into the stars one day. Technological development and progress is needed. We need to also change our mindset on current systems. E.g., if it doesn’t maximize return on investment, forget about it. If there is a way to do it slightly cheaper even if it’s detrimental, do it cheaper. That mindset sucks.

That’s probably going to be one of the main weapons against us, the media generating fake news using AI to control us.

It depends on the container I suppose. There are some that are very difficult to rebuild depending on what’s in it and what it does. Some very complex software can be ran in containers.

I completely agree. However the genie is out of the bottle. Not much we can do to prevent it at this point, but there is plenty we can do to learn about it and defend against is abuse against us.

I am biased, I am having a ton of fun with LLMs and they are helping me achieve some personal goals. Do they use energy? Sure. Will new, more powerful technologies come along later that require even greater amounts of energy? I hope so one day. We need to find cleaner more abundant energy sources.

Well for me, I enjoy pair programming my own projects with offline models. I also bounce ideas off it to attempt to ground myself in some type of reality (some models are better for this than others… probably has risk of delusions of grandeur. Some models will just verbally suck you off which is annoying).

I built ansible tooling for deploying k3s kubernetes and Ceph-backed Proxmox clusters and VMs and containers and services. Utilized the help of LLMs to structure my playbooks and figure out how roles work.

I love learning new things and LLMs have a lot to offer in that regard. You have to watch out for the bullshit and independently look at other sources as well, but it’s a great starting point and I can sometimes have sone deep conversations around some topics.

I’m not sure regulation is going to be an open for this in the US anytime soon. Maybe EU can show us the way.

I think it’s probably a bit early to tell for certain on that assessment. There is definitely pros and cons to all technology. Electricity production causes environmental damage, building wooden houses require logging. Plastics are a byproduct of a withering industry. Asbestos might have saved more lives than it took, but there were probably much better ways to solve fire resistant buildings.

Why all these destructive things? Capitalism requires maximizing profits above all else. So, really the question is how will capitalism fuck us over with AI? So, so many ways. That’s why it’s important that we build community understanding of this technology in order to combat it. It’s not going away. It’s here to stay. So we either put our heads in the sand and pretend it’s not here or we can embrace it and learn how it works and how to defeat it and come up with open source tooling to combat it.

I’m in the latter camp. I love technology breakthroughs and want to learn first hand the capabilities to understand how it will be used against me and how I can use it.

Restricting our energy use is not a very good end game. We need to learn how to unlock more energy production without destruction of the environment. This will happen through technological development. Temporarily rationing or conservation may be needed, but permanent is not the answer.

I’ve been wanting to tinker with NixOS. I’ve stuck in the stone ages automating VM deployments on my Proxmox cluster using ansible. One line and about 30 minutes (cuda install is a beast) to build a reproducible VM running llama.cpp with llama-swap.

Do you gave an nvidia graphics card? The only problem I’ve had since I installed Pop OS is their shity driver installer crapped out somehow and I gad to recover my system by blacklisting amd graphics driver, uninstall nvidia driver and reinstall. It wad not for the feint of heart.

Honestly using the existing question stock to generate current-version answers using the current documentation as synthetic training data is probably the way to go.