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Joined 11 months ago
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Cake day: February 10th, 2025

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  • Whatever happens, it won’t be that.

    You are not on my team if you think the solution is to attack other working class people. There are certainly ones that need to be brought to justice (see: Jan 6ers), but this slide into fascism has been financed and orchestrated by right-wing elites who have the billions of dollars to create effective propaganda.

    MAGA voters are primarily driven by ignorance and intentionally misled via propaganda. This doesn’t clear them of all responsibility, I want to be clear.

    However, the massive wave of anonymous billionaire funded propaganda following the Citizens United decision is the thing that has moved public opinion and that propaganda wasn’t created by ignorant people who were misled. It was created by very educated people who knew exactly what they were doing (watch The Great Hack documentary about Cambridge Analytica) and those people were funded by the same anonymous billionaires.

    It isn’t the local racist that is at fault for orchestrated campaign of propaganda which has twisted public opinion into electing corrupt criminals. It’s the people who have billions of dollars and funded a tsunami of lies in order to buy access to the power of the Presidency.

    Take your torches and pitchforks in that direction.



  • I think that people are too enthralled with the current situation that’s centered around LLMs, the massive capital bubble and the secondary effects from the expansion of datacenter space (power, water, etc).

    You’re right that they do allow for the disruption of labor markets in fields that were not expecting computers to be able to do their job (to be fair to them, humanity has spent hundreds of millions of dollars designing various language processing software and been unable to engineer the software to do it effectively).

    I think that usually when people say ‘AI’ they mean ChatGPT or LLMs in general. The reason that LLMs are big is because neural networks require a huge amount of data to train and the largest data repository that we have (the Internet) is text, images and video… so it makes sense that the first impressive models were trained on text and images/video.

    The field of robotics hasn’t had access to a large public dataset to train large models on, so we don’t see large robotics models but they’re coming. You can already see it, compare robotic motion 4 years ago using a human engineered feedback control loop… the motions are accurate but they’re jerky and mechanical. Now look at the same company making a robot that uses a neural network trained on human kinematic data, that motion looks so natural that it breaks through the uncanny valley to me.

    This is just one company generating data using human models (which is very expensive) but this is the kind of thing that will be ubiquitous and cheap given enough time.

    This isn’t to mention the AlphaFold AI which learned how to fold proteins better than anything human engineered. Then, using a diffusion model (the same kind used in making pictures of shrimp jesus) another group was able to generate the RNA which would manufacture new novel proteins that fit a specific receptor. Proteins are important because essentially every kind of medication that we use has to interact with a protein-based receptor and the ability to create, visualize and test custom proteins in addition to the ability to write arbitrary mRNA (see, the mRNA COVID vaccine) is huge for computational protein design (responsible for the AIDS vaccines).

    LLMs and the capitalist bubble surrounding them is certainly an important topic, framing it as being ‘against AI’ creates an impression that AI technology has nothing positive to offer. This reduces the amount of people who study the topic or major in it in college. So in 10 years, we’ll have less machine learning specialists than other countries who are not drowning in this ‘AI bad’ meme.