EVERYONE NEEDS TO STOP USING HOUSES AS AN APPRECIABLE INVESTMENT. THIS IS WHY THE OTHER HALF OF THE POPULATION ARE HOMELESS. of course wealthy people don’t care about homeless people so this shitty-human-problem will never end, will it
For individuals and families who actually live in them, a house is a perfectly valid investment with positive side-effects for the overall economy. The issue is with investment firms trading around real estate like it’s candy, which takes housing out of regular use and inflated prices for everyone who actually needs it.
I remember being 13 or so and i was at my friends place for the first time. They had a cool house and his room was really far away from everything. He opened the door to his room and said: so, here is my nintendo, bed, and there behind the door is where i shoot all my unborn babies into the carpet. I turned around to look, just to see his mom standing there behind the door with a laundry basket.
So every man would have a gazillion strong army in heaven? The men would all play Totally Accurate Battle Simulator against each other but with babies.
I generally don’t try to correct shitposts, but for some reason this one annoyed me because it’s only sort of true and the real truth is more interesting.
Shakespeare’s observation (from Cymbeline) explains why attempts to alleviate the pain of disease, injury or simple surgical procedures by producing unconsciousness are almost as old as civilization, although the techniques were crude. Most involved ingestion of ethanol and or herbal mixtures, but ‘knock-out’ blows to the head and bilateral carotid artery compression (carotid derives from the Greek for stupor) are also described. These methods were impossible to quantify, and the best that can be said of many is that they were harmlessly ineffective, but that is obviously not the case with head trauma or obstructing the flow of blood to the brain. Hypnotism, introduced as ‘animal magnetism’ or ‘Mesmerism’ in the latter part of the eighteenth century (depicted above), can be effective in susceptible individuals, but such people are relatively rare in developed societies.
Most of the herbal mixtures were devised in Southern Europe or the Orient where plants with active alkaloids (e.g. opium) are indigenous, but one called ‘Dwale’ appears in medieval English texts. Although a number of drugs used in modern anaesthesia have their origins in substances found in plants those early concoctions are irrelevant to the development of effective, drug-induced anaesthesia. It stems from discoveries made in Britain during the latter half of the 18th century, the time of the ‘Enlightenment’. However, di-ethyl ether, the first agent to be demonstrated successfully in public, was originally synthesized (by the action of sulphuric acid on ethanol) in the thirteenth century. There are early reports of it producing both pain relief and loss of consciousness, but such observations were not applied clinically for centuries - examples of a recurring theme: clinical use of the effect did not follow until long after its original observation.
And it isn’t even really true about using a gas as anaesthesia:
Davy’s ‘Researches, Chemical and Philosophical: Chiefly Concerning Nitrous Oxide’, published in 1799, describes two major effects of its inhalation: euphoria (he coined the term ‘laughing gas’) and analgesia (it eased the pain of his erupting wisdom tooth). Davy suggested inhalation of nitrous oxide during surgical operations, but this was not acted upon (that recurring theme again) though a slightly earlier event may indicate possible explanations. In 1784 a London surgeon, James Moore, published a description of nerve compression in producing numbness for limb surgery – most people have experienced this effect after falling asleep while lying on an arm. The method was used successfully for an amputation performed painlessly by John Hunter, the ‘father’ of modern surgery, yet there is no record of a repeat. Was it fear of complications, inconsistency of effect, or simply that minds were not yet attuned to the concept of surgery without pain?
Davy went on to work at the Royal Institution in London, giving demonstrations of nitrous oxide and other discoveries of the age. In 1813, another scientist famous in later life, Michael Faraday, joined him as assistant and studied the inhalation of ether. He published his findings, which included soporific and analgesic effects, in 1818, but one subject had taken over 24 hours to recover full consciousness. Such an observation provides another explanation for failure to implement important observations – the difficulty of quantifying and controlling their effects.
Then:
The story moves to the USA, specifically to Hartford, Connecticut on 10 December 1844, when Gardner Quincy Colton, a travelling showman, gave a demonstration of the latest discoveries, including inhalation of nitrous oxide. In the audience was Horace Wells, a local dentist who had mastered the art of using new materials to make dentures, and had sought ways of easing the pain of first removing the patient’s own rotten teeth. Here was a prepared mind, and Wells realized that he might have found a solution when a young man (one Samuel Cooley) who had inhaled the gas injured his shin without any apparent discomfort.
…
Discussions led to an experiment the following morning during which Wells had one of his own teeth removed by a colleague, John Riggs, after Colton had administered the gas. Wells learned how to make nitrous oxide, and used it in his practice until he felt confident enough to demonstrate the technique at the nearest major medical centre, Boston. He gave a talk to a class of the Harvard Medical School and then administered the gas to one of them who, unfortunately for Wells, cried out when a tooth was removed. Even though the student remembered nothing Wells reacted badly (he was probably a manic depressive) to being dismissed as a charlatan and, although he continued to use nitrous oxide, he faded from the scene.
However, William Morton, who had previously been both Wells’s student and later partner, had helped with the demonstration, and was made of sterner stuff, recognizing that a ‘better’ agent was required. He was by then a medical student at Harvard and consulted, among others, his chemistry teacher, Dr. Charles Jackson. What part Jackson actually played in Morton’s decision to use ether by inhalation became the subject of great controversy, but there is no doubt that it was Morton who studied it, tested it in animals and then tried it in his patients. Having been successful with these trials he offered to demonstrate his method to Dr. John Warren, surgeon at the Massachusetts General Hospital, and was invited to do so on 16 October 1846. Before a large audience, Morton administered ether vapour to Gilbert Abbott before Warren removed a tumour from Abbott’s neck without any sign of distress. A new era had dawned.
Another fun fact is that using ether during childbirth was forbidden by church for a long time because bible specifically says that giving birth in pain is God’s punishment.
Actually yeah. i’ll guarantee that was it. 14 days ago I was making fun of hexbear users defending russia’s war crimes in the memes /c/ of all places… which is weird that they defend it considering russia is very not-communist anymore.
still sucks since many of the largest communities around things like linux and tech are on .ml
I’m kinda not surprised the FOSS community would end up on a communist instance, I’m actually considering just blocking the entire .ML instance at this point.
I’m so sick of seeing them having a tantrum every time YouTube tries to make them either pay for the service, or watch ads.
I have a feeling it was more of “that was the biggest instance when we all got started here so we all just stayed here”. The prime-mover advantage for lemmy.world and lemmy.ml is pretty severe and it still shows in user counts/activity. It’s just gotten more obvious over time what lemmy.ml admins (and by extension the developers of the platform) really support.
I’m pretty sure if xi Jinping asked dandelions or whatever his name is to chow down on his rice noodle he’ll do it without any hesitation taking one for the team
Okay can someone please point me to a real, physical, existing example of this happening? I’ve got multiple accounts on multiple instances from when the servers I used were less stable and not once on any of them have I ever seen a single person defended Russia or China politically.
Not trying to be divisive it just comes up a lot and at this point feels like a red scare tactic
I haven’t seen it personally, maybe I just run in different circles but I’ve asked to be directed to an example on 3 occasions now and never once has one been provided.
Not saying it isn’t happening, would just like some proof that it’s not just a band wagon
I had about 6 in my inbox at one time, but they’ve all been lost to the winds of fediverse moderation at this point.
A vast majority of instances have defederated from hexbear/lemmygrad/etc by now. So you dont see nearly as much of them outside of the main lemmy.ml communities, and those that do end up outside them ususally get moderated out by local admins.
If you really are curious. Take a scroll through some of the comments on hexbears “dunk tank” like so. See how long you can read before closing the tab out of disgust. Most of them are commenting completely unironically… (That thread is not Russia specific yes but I couldn’t stomach to scroll down that community any farther. It gives you an idea.)
Proximity really makes friendships better, and at least easier. Some of the best memories are made on a whim. And even with the busiest people you can have a better chance of seeing them with a spontaneous text versus a long-term plan.
Is an LLM machine learning? In ML you are usually predicting a value based on values in the training set. That’s not really what an LLM does it seems. Maybe it uses some ML under the hood.
In ML you are usually predicting a value based on values in the training set
No, that’s just a small part of ML: Supervised learning. There also is unsupervised learning, reinforcement learning and a whole bunch of other things in machine learning; It’s a way bigger field than just that.
And about your question: Yeah, LLMs are a prime example of machine learning. Very simplified, they use a kind of recurrent neural network to take inputs of arbitrary lengths and give outputs. They are trained on huge loads of data (text) to auto-complete the data (so that they get e.g. a sentence as input and give a second sentence that’s likely the next sentence in the data as output). E.g. “Today I went” as input could generate “to school.” as output.
ChatGPT is based on these LLMs like GPT-4 in the way that the start of the input data is commands in human language for the bot how to behave. (E.g. “You are called ChatGPT. You are not allowed to […]. You are helpful and friendly.”), then adding the user input. The LLM then generates what the chatbot described with the given characteristics would give as an output based on the training set and it’s returned as the output by ChatGPT.
You guys joke until the carrot rots inside and starts smelling and mealworms form and after they eat the carrot fully the mealworms starts falling on your lap.
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