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From Bruce Schneier: "All it takes to poison AI training data is to create a website:

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    For those whose companies force AI adoption and use.That's the same for me, but this proposal passed.I explained things like this:"OK, guys, we have a common performance goal to adopt and promote use of AI. In order to do so, we need to document our doings in an organised and meaningful way. We need to write markdown, we need to create mermaid and plantuml diagrams, we need to describe architectures and reasons why we did them, and we need to share this corpus of organized knowledge among us". This is paramount, otherwise we will get only what any LLM could output to anyone making the same question. We need context that is ours, and this context need to be available, cleaned of clutter, and thoroughly reviewed.""Then, we will have won. Both if we decide to go full AI or not. But if we were able to gain some best-practice workflows for our work documentation, we will have increased our efficiency and stepped way ahead of any LLM for decades."Do it for yourself and keep the source notes. Do it in #Markdown or plain text. Remove Microslop from your flows.#LLM #aiatwork #ai
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    @winterschon what is the usecase of this monster? Local LLM or something else?
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    Over 40 years, we were collectively told to give tax cuts to rich people.And we were told that if we did that, wealth would trickle down and everyone would be better off.Over 40 years, pretty much everything got cut to fund these tax cuts.Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.People literally went homeless or starved, so rich people could get tax cuts.Because the wealth would trickle down.Eventually the eroding of public goods caused social dislocation.So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.But they said the wealth would trickle down.Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.But they said the wealth would trickle down.Eventually people were getting pissed off at the dire state of the world.The rich misdirected that anger at immigrants!And First Nations!And trans people!And neurodivergent people!Anyone but the billionaires who got the tax cuts.So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)But they said the wealth would trickle down.So did the wealth trickle down?Well...A group of billionaires saw this kinda cool tech demo.It predicted the next pixel of an image, based on the colour patterns of every image on the internet.It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.The rich decided that this clearly showed that a sentient computer was just around the corner.The problem was these tech demos needed servers with a lot of GPUs to work.So the rich took all the money they got from those tax cuts.And they bought GPUs.Millions and millions and millions and millions of GPUs.All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.In the end, it didn't trickle down.And instead of all the public goods it could have bought......We'll be left with millions and millions and millions of GPUs in a landfill.#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia
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    I am just wondering if anyone around here has tried to use LLMs on FreeBSD. Is there an easy to use solution like LM Studio available for FreeBSD or is there no way around Linux?#LLM #onprem #FreeBSD