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[–] 1 point 2 minutes ago

"undeveloped" is such bullshit and really always was.

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  • [–] 7 points 3 hours ago* (last edited 2 hours ago) (1 child)

    In my opinion they are building the infrastructure for a fully automated surveillance society, for automated media manipulation, and to remove humans out of the kill chain in the military, while dismantling the rest of what remains of the middle class. We are going straight into high-tech dark ages / feudalism. Shadowrun and Cyberpunk, here we come.

    Russia with its limited AI development seems to already have deployed fully automated killing machines (Powered by NVidias Jetson Orin module). The US aim for the same, and everyone else who doesn't want to become a vassal state will have to follow suite.

    When i think of this future, the only picture my mind can produce is Black Mirror - Metalhead.

    Edit: If used for these tasks, it's also not important if inference is something you can make money with. OpenAI, Anthropic and the Neoclouds are a grave for billions of dollars - but that doesn't matter if the rewards are non-monetary.

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  • [–] 1 point 2 hours ago

    Broadly agree, but I think that there is about a 1% chance of working out with the billionaires in control. They will just get their assets expropriated when a war occurs, or the AI will just take over once given the tools.

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  • [–] 4 points 3 hours ago

    It's a very hospitable climate. We should drop all the CEOs off down there.

    🤣

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  • [–] 9 points 6 hours ago

    ....and this is why the united states wants to get rid of the ICC so badly.

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  • [–] 47 points 9 hours ago

    Undeveloped land nature

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  • [–] 63 points 10 hours ago (2 children)

    I consider any post mentioning 'prediction market' names like this to be advertisements. They are not news sources, they are gambling sites.

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  • [–] 9 points 7 hours ago* (1 child)

    Isn’t Patagonia basically pristine and undeveloped because it is very remote and hard to develop. And from that highway documentary I remember also big parts are private property

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  • [–] 14 points 10 hours ago (10 children)

    I don't understand what the data centers are for? Why do they need so many and what are they even doing? It doesn't make sense to me, especially for something I feel like is in a stock market bubble on the verge of financial collapse as soon as these big corporations realize it isn't as viable as they hoped, which has been coming incrementally.

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  • [–] 13 points 9 hours ago (6 children)

    Practically, the only use of them right now is to inflate stock prices. No business benefits from this much compute other than hardware suppliers and construction companies.

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  • [–] -3 points 9 hours ago (5 children)

    As someone in the field, I can assure you that a great many businesses are realizing significant benefits. Our PR sucks though.

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  • [–] 8 points 8 hours ago (3 children)

    Are they? The fact that we aren't seeing more completed projects on github tells me its not useful for coding beyond peer-review and generating boilerplate. I've met 2 non-tech people who managed to get a MVP they have no way to maintain. Who is realizing significant benefits?

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  • [–] -4 points 3 hours ago (2 children)

    Github is not the real world. My information is based on our clients. A basic search produced the following...

    XXXXXXXXXXXXXXXXXXXX

    High-end, frontier AI models are driving major breakthroughs across crucial domains: Healthcare & Biomedicine Drug Discovery & Protein Folding: Models like AlphaFold predict protein structures in seconds, accelerating candidate target identification for complex diseases like Alzheimer's and cancer. Early Diagnostics: Advanced computer vision analyzes complex scans (MRIs, mammograms, pathology slides) to detect early-stage tumors and rare systemic abnormalities faster than manual screening. Genomic Medicine: Processing petabytes of multi-omic data helps design targeted therapies tailored to individual patient genetic profiles. Climate, Sustainability & Agriculture Precision Climate Modeling: Advanced neural networks simulate localized weather extremes, helping cities anticipate floods, severe storms, and wildfire trajectories weeks in advance. Grid & Fusion Energy Optimization: Machine learning manages real-time load balancing for renewable power grids and stabilizes plasma containment configurations in nuclear fusion reactors. Precision Agriculture: Satellite and drone computer vision algorithms analyze soil health, crop diseases, and yield forecasts to optimize water and fertilizer deployment. Scientific Research & Discovery Materials Science: Autonomous lab platforms test millions of theoretical chemical combinations to invent better battery chemistry, carbon-capture materials, and superconductors. Astrophysics & Deep Space: High-throughput processing identifies exoplanets, maps dark matter distribution, and filters noise from radio telescope signals. Accessibility & Public Safety Assistive Technologies: Multimodal models enable real-time scene description for visual impairments, instant speech-to-sign translation, and adaptive interface controls for mobility challenges. Disaster Response & Search Operations: Satellite analysis models process post-disaster maps instantaneously to route first responders and locate trapped survivors.

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  • [–] 4 points 3 hours ago*

    The thing is: The amount of compute being planned (it's often not getting built) can only have one true goal: automated mass surveillance, media manipulation and dismantling of what remains of the middle class, in addition of fully automated warfare. No other task than rolling out Flock 2.0 and the equivalent of Skynet needs that much compute. All the things you mentioned already work with the EXISTING compute. I agree that some additional datacenters will be needed, but for the things you mentioned a fraction of planned compute is already fine, it seems.

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  • [+] -8 points 9 hours ago (2 children)

    Pharma is very big. Those AIs "speak" only in terms of chemical structure. Genomic medicine is coming soon.

    Financial companies create models that take the guesswork out of complex economic decisions.

    Auto captioning and note-taking and grammar correction, etc - all AI.

    Factory and mining operations are getting in big, too. Dangerous jobs will get much safer.

    Material science is making great advances. Production will follow in a year or two. Other sciences, too.

    Businesses are using AI to press their advantage in various fields - and seeing benefits fairly quickly. No one it throwing money away. It's a lot like the industrial revolution. A fast build out due to a change of every business model. And, like before, social disruption.

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  • [–] 11 points 10 hours ago

    Nah skip it, line em up and give them "The Pianist" treatment.

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  • [–] 8 points 10 hours ago (1 child)

    Presumably they wouldn't want to build the data centers in the national park depicted in the photo, but rather in the larger desert part of Argentinian Patagonia which is basically vast stretches of nothing whatsoever.

    It's maybe the least offensive place to put a data center in for that reason

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  • [–] 1 point 6 hours ago (1 child)

    I'm confused by how many reposts I see of Polymarket posts. Why is that a thing?

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