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Cake day: July 16th, 2023

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  • While that’s true, this isn’t a specific engineering problem. You need to grab a single cell from each relevant subcluster of neurons in the spinal cord, spatially record the exact positioning, send it off to have RNA seq. done, sample all of the subclusters of the target area, spatially record exact positioning, send it off to have RNA seq done, resample based off of RNA seq data, begin axon regrowth of a single subcluster, and then repeat after every growth cycle to ensure the targeting is holding.

    You can improve RNA sequencing machines to reduce runtime, improve spatial tracking to make it easier to keep track of the anatomy, but without sci-fi advances in implant technology you can’t get around the sheer amount of procedural time requiring MD-PhDs and post docs to be involved in every visit.

    One of the issues with medical technology is that we know far more about how the human body operates than we can control, so compared to biological structures our manipulation of biology at the cell specific level is relatively crude. I’m not saying tech won’t catch up, but it’s going to be ruinously involved for a very long time.




  • The difference though is that this treatment would require hundreds of hours of ongoing work from medical professionals for each treatment. What they did was use single cell RNA sequencing to determine which subpopulations of cells are supposed to connect and where, before stimulating cell growth and guiding each RNA mapped subpopulation to where it’s roughly supposed to go. That’s one thing for anatomically complete sub-millimeter spinal cord injuries in mice, but a massive endeavor for human spinal cords.

    If you’ve seen the bioengineered cancer treatments where researchers grow immune cells to target a single individual’s tumor, the amount of specialized work that goes into that pales to what current technology would require for this sort of spinal regeneration, and that’s for relatively simple small scale lesions. Multiple lesions or large scale cell death could result in attempting to selectively guide millions of microscopic axons in neat clusters for over a foot.

    I wouldn’t be surprised if insurance companies refused to pay for cell regrowth, and instead went for implants that are comparatively much simpler to install and modify in brain-computer interfaces that skip over the damage. This is a great advancement and does open the door for recovering from spinal cord damage, but this is one of those treatments that people are going to get because they need to fill FDA trials and won’t charge, or because the patient is filthy rich.













  • Yeah, right now the fight is between corporations and creators, but I feel like the future battle is going to be between corporate AIs and “pirated” ones, because Disney is going to keep a firm chokehold over what its generative AI can make, while the community ones will completely ignore copyright restrictions and just let people do whatever they want.

    Not gonna need to worry about paywalls when you can get a pirated generative AI to create the superhero mashup you always wanted to watch as a child. That said, I could definitely see Disney and other piggybacking off of AI panic to extend copyright protection into spaces that were previously fair use.



  • Aren’t AI generated images pretty obvious to detect from noise analysis? I know there’s no effective detection for AI generated text, and not that there won’t be projects to train AI to generate perfectly realistic images, but it’ll be a while before it does fingers right, let alone invisible pixel artifacts.

    As a counterpoint, won’t the prevalence of AI generated CSAM collapse the organized abuse groups, since they rely on the funding from pedos? If genuine abuse material is swamped out by AI generated imagery, that would effectively collapse an entire dark web market. Not that it would end abuse, but it would at least undercut the financial motive, which is progress.

    That’s pretty good for 2023.


  • The really annoying part of this is the author says:

    “The crucial finding is that the number of violent video games you’re exposed to has an influence on your verbal aggression and hostility,”

    Only to go on and say:

    “It’s very important to stress that our findings are not causal,”

    More than that, the study doesn’t even measure their “exposure” to violent games, it requests their three favorite games and then checks their PEGI rating.

    Whew. Okay, so reading the actual research article here, and, this article is kind of trash. First off, the study group was recruited from ads posted on Reddit and Discord, notably from r/samplesize, r/narcissism and r/truegaming and Cluster B Circus, r/NPD Official and NPD Recovery 2.0 respectively. One is a place for polls, one is a gaming subreddit, and the rest are all communities for people with narcissism. So they’re skewing their sample population explicitly towards how people with narcissism that play violent games respond. Which, I think was the original intent of the study, and they bolted on the additional conclusions for a spicier publication, since the only way these numbers are meaningful is with a control group of people with NPD (narcissistic personality disorder) that do not play violent games, and even then, it only provides a correlation between people with NPD who play violent video games and increased verbal aggression (one of which was arguing if people disagree with you).

    I’m beginning to feel regret for putting way too much effort into a comment, because this is a long ass article, but further in, the study states that respondents had “healthy” levels of narcissism, which goes unremarked despite their primary sample sourcing being targeted at narcissism instead of a population of gamers. I’m calling it a wrap here, but essentially this is a remarkably unreliable study to write that headline off of.