A hacker known as Martha Root broke in and deleted three white supremacists websites at the end of a talk during the annual hacker conference Chaos Communication Congress in Germany.
“We need to get beyond the arguments of slop vs sophistication,” Nadella wrote in a rambling post flagged by Windows Central, arguing, "Humanity needs to learn to accept AI as the new equilibrium of human nature."
If "the new equilibrium of human nature" is code for worthless, mind-numbing garbage that is clogging up any and all human interaction, then I guess we agree!
I have no issue with AI, the technology, I have been working on it since 1986. The development of LLMs, artificial neural networks has certainly been a game changer. Though I am not any part of the obsession to make huge server farms that power AI Instances to provide services for mobile devices, or any device you want to hook to them. I use only local AI that I work on, or those that collaborate with me work on.
One very disturbing issue for me is that people cannot make a distinction between AI, the technology, and services provided by corporations. There is a huge difference. For instance I do not train my AI on copyrighted material stolen on the internet. I train them on open source, public domain resources and my own content.
I use ComfyUI (generative AI) to make assets, and just to have fun. I use only checkpoints and loras trained on public domain content, and yes, you can check this. I have used LLMs that I have trained to turn
I have no issue with AI, the technology, I have been working on it since 1986. The development of LLMs, artificial neural networks has certainly been a game changer. Though I am not any part of the obsession to make huge server farms that power AI Instances to provide services for mobile devices, or any device you want to hook to them. I use only local AI that I work on, or those that collaborate with me work on.
One very disturbing issue for me is that people cannot make a distinction between AI, the technology, and services provided by corporations. There is a huge difference. For instance I do not train my AI on copyrighted material stolen on the internet. I train them on open source, public domain resources and my own content.
I use ComfyUI (generative AI) to make assets, and just to have fun. I use only checkpoints and loras trained on public domain content, and yes, you can check this. I have used LLMs that I have trained to turn vim on my machine into a full blown IDE (not that it was not already). There are many practical implementations of AI that does and will enhance all of our lives. That does not mean I support corporate server farms trying to inject AI into all aspects of our life, need or want it or not. On the other hand I do not feel that it is fair for people to be judging AI for what corporations do. Should I judge fire for what arsonist do? Should I judge antibiotics by their current abuse in agriculture?
It is an old technology that we have been working on for decades. With great success in recent decades. It is not SLOP it is valuable technology when used appropriately. AI should not be held accountable for the way corporation misuse it for monetization. Corporations should be held accountable for their actions. Not the millions of developers that have diligently worked to hone a technology that is quite valuable.
There is nothing wrong with using vim-plug. It just does not do anything for me as I write most of my own plugins. The main reason to use vim-plug is for keeping plugins updated. Today, that is moot, as even tpope has not updated a vim plugin in over 4 years. I tend to hard fork the plugins I like best and maintain them myself. So a plugin manager is not required.
Yes, with low ram your options are rather limited. I find it is best to train your own LLM though that requires a significant GPU. At the very least an RTX 3060i or equivalent. You just have to be careful what open source, or your own source you train the LLM on. As there are a lot of low quality projects. Train with a bunch of low quality code, get low quality suggestions.
Though I mainly use AI for an Intel-sense level of auto completion. Having an AI write actual code is very risky. With anything even slightly complicated you are bound to do more debugging than it is worth. It would be less effort to just write it from scratch yourself.
I have a server with two Tesla K80s they're are ancient but great for training. The big issue is power, they use 300 watts each. So I have to have a 1300 watt power supply for the rig, they are also intense on heat, so you have to plan for that in your build! You can typically get them for around $80.00 USD each though you have to build for them, and you are going to have to know how to build and maintain a lot of older code that has been abandoned as there is not a lot of support for the Kepler architecture these days.
Other factors of the build are that K80s are GPU accelerators so they do not have video ports. Server mother boards do not have built in Graphics so you will have to have an addition card for that. I use a ASUS NVIDIA GeForce GT 730 Graphics Card (PCIe 2.0, 2GB GDDR5 Memory, 4X HDMI Ports on a PCI x 1 port just to attach a monitor if needed. Though I do not typically leave a monitor attached to my server.
I have a server with two Tesla K80s they're are ancient but great for training. The big issue is power, they use 300 watts each. So I have to have a 1300 watt power supply for the rig, they are also intense on heat, so you have to plan for that in your build! You can typically get them for around $80.00 USD each though you have to build for them, and you are going to have to know how to build and maintain a lot of older code that has been abandoned as there is not a lot of support for the Kepler architecture these days.
Other factors of the build are that K80s are GPU accelerators so they do not have video ports. Server mother boards do not have built in Graphics so you will have to have an addition card for that. I use a ASUS NVIDIA GeForce GT 730 Graphics Card (PCIe 2.0, 2GB GDDR5 Memory, 4X HDMI Ports on a PCI x 1 port just to attach a monitor if needed. Though I do not typically leave a monitor attached to my server.
In budget build you would likely be better off with P100 They have the Pascal architecture v. Kepler. More recent but still weakly supported. It out performs the K80 using less power as well.
It's two hours after the family's return from a week-long New Year's vacation. In thhat time, I've cleaned dog pee off the floor, both kids have had meltdowns and the entire contents of a jelly jar has filled a refrigerator shelf.
Honestly, IRC is the most fun I’ve had online. Simple, fast, and no-nonsense. I’ve been using it for about 4-5
months now, mainly connecting to Libera.Chat.
I personally prefer using WeeChat because I enjoy the terminal-based workflow, but there are plenty of other great clients like Irssi or HexChat depending on your style. It’s a great way to find focused communities.
I love the IRC, I have been using it since the late 1990's. Back then web based group chats were incredibly slow and useless. So Usenet and IRC were the place to be.
I've been celebrating the #NewYear most of the day with the broadcast from Vienna, with a lot of #Strauss. I catch it on the radio first because at least #NPR doesn't ruin the second finale, which is the Radetzky March, while #PBS craps on it every time with rolling credits and infernal announcements.
Of course the only way to catch the visuals and historical context is to view it on PBS later in the day...however...the ballet pieces left a lot to be desired this year so I hope they change choreographer. What's with this strewn 8 1/2 by 11 papers all over the place??? Couldn't you find silk roses to toss around with the Roses From The South Waltz? Doing that with the Diplomat Waltz made sense after a fashion, but it was definitely overdone. To think you killed a tree for that.
Unus Nemo
in reply to Blaise • •@Blaise
I have no issue with AI, the technology, I have been working on it since 1986. The development of LLMs, artificial neural networks has certainly been a game changer. Though I am not any part of the obsession to make huge server farms that power AI Instances to provide services for mobile devices, or any device you want to hook to them. I use only local AI that I work on, or those that collaborate with me work on.
One very disturbing issue for me is that people cannot make a distinction between AI, the technology, and services provided by corporations. There is a huge difference. For instance I do not train my AI on copyrighted material stolen on the internet. I train them on open source, public domain resources and my own content.
I use ComfyUI (generative AI) to make assets, and just to have fun. I use only checkpoints and loras trained on public domain content, and yes, you can check this. I have used LLMs that I have trained to turn
... show more@Blaise
I have no issue with AI, the technology, I have been working on it since 1986. The development of LLMs, artificial neural networks has certainly been a game changer. Though I am not any part of the obsession to make huge server farms that power AI Instances to provide services for mobile devices, or any device you want to hook to them. I use only local AI that I work on, or those that collaborate with me work on.
One very disturbing issue for me is that people cannot make a distinction between AI, the technology, and services provided by corporations. There is a huge difference. For instance I do not train my AI on copyrighted material stolen on the internet. I train them on open source, public domain resources and my own content.
I use ComfyUI (generative AI) to make assets, and just to have fun. I use only checkpoints and loras trained on public domain content, and yes, you can check this. I have used LLMs that I have trained to turn
vimon my machine into a full blown IDE (not that it was not already). There are many practical implementations of AI that does and will enhance all of our lives. That does not mean I support corporate server farms trying to inject AI into all aspects of our life, need or want it or not. On the other hand I do not feel that it is fair for people to be judging AI for what corporations do. Should I judge fire for what arsonist do? Should I judge antibiotics by their current abuse in agriculture?It is an old technology that we have been working on for decades. With great success in recent decades. It is not SLOP it is valuable technology when used appropriately. AI should not be held accountable for the way corporation misuse it for monetization. Corporations should be held accountable for their actions. Not the millions of developers that have diligently worked to hone a technology that is quite valuable.
Unus Nemo
Unknown parent • •@plan-A
Yes, except I write my own extension and do not use a plugin manager 😉
Unus Nemo
Unknown parent • •@plan-A
There is nothing wrong with using
vim-plug. It just does not do anything for me as I write most of my own plugins. The main reason to usevim-plugis for keeping plugins updated. Today, that is moot, as even tpope has not updated a vim plugin in over 4 years. I tend to hard fork the plugins I like best and maintain them myself. So a plugin manager is not required.Yes, with low ram your options are rather limited. I find it is best to train your own LLM though that requires a significant GPU. At the very least an RTX 3060i or equivalent. You just have to be careful what open source, or your own source you train the LLM on. As there are a lot of low quality projects. Train with a bunch of low quality code, get low quality suggestions.
Though I mainly use AI for an Intel-sense level of auto completion. Having an AI write actual code is very risky. With anything even slightly complicated you are bound to do more debugging than it is worth. It would be less effort to just write it from scratch yourself.
Unus Nemo
in reply to Blaise • •@Blaise
You can ask the AI how to train it, it knows 😉
Unus Nemo
in reply to Blaise • •@Blaise
I have a server with two Tesla K80s they're are ancient but great for training. The big issue is power, they use 300 watts each. So I have to have a 1300 watt power supply for the rig, they are also intense on heat, so you have to plan for that in your build! You can typically get them for around $80.00 USD each though you have to build for them, and you are going to have to know how to build and maintain a lot of older code that has been abandoned as there is not a lot of support for the Kepler architecture these days.
Other factors of the build are that K80s are GPU accelerators so they do not have video ports. Server mother boards do not have built in Graphics so you will have to have an addition card for that. I use a
ASUS NVIDIA GeForce GT 730 Graphics Card (PCIe 2.0, 2GB GDDR5 Memory, 4X HDMI Portson a PCI x 1 port just to attach a monitor if needed. Though I do not typically leave a monitor attached to my server.In budge
... show more@Blaise
I have a server with two Tesla K80s they're are ancient but great for training. The big issue is power, they use 300 watts each. So I have to have a 1300 watt power supply for the rig, they are also intense on heat, so you have to plan for that in your build! You can typically get them for around $80.00 USD each though you have to build for them, and you are going to have to know how to build and maintain a lot of older code that has been abandoned as there is not a lot of support for the Kepler architecture these days.
Other factors of the build are that K80s are GPU accelerators so they do not have video ports. Server mother boards do not have built in Graphics so you will have to have an addition card for that. I use a
ASUS NVIDIA GeForce GT 730 Graphics Card (PCIe 2.0, 2GB GDDR5 Memory, 4X HDMI Portson a PCI x 1 port just to attach a monitor if needed. Though I do not typically leave a monitor attached to my server.In budget build you would likely be better off with P100 They have the Pascal architecture v. Kepler. More recent but still weakly supported. It out performs the K80 using less power as well.