As an offgrid person with an actual electrical engineering degree who built my system ground up, visiting the diy solar fourms is a trip

I think offgriders belong in the same crazy camp like healing crystals chicks, and antivaxxers.

Its funny, I feel the same way about suburbanites and generally neurotypicals who speedrun a college debt right out of highschool for a career path that became over saturated with competition a decade before they applied. Then legally binding themselves to the first fuck buddy to provide emotional support/external validation, poping out two kids, further endebting themselves with unending rent/mortgage payments and using the financial + parental responsibility as an excuse to work a 9-5 for the rest of their lives. I can’t imagine having a life slaved to work with so little to look forward to besides vacations twice a year, watching TV, mowing the grass, bitching about HOA, and buying another car/empty status symbol. All before the age of 25.

It takes a special kind of crazy or stupid to blindly follow socital status quo of wanting the slop of comfort, convinence, and status. So easily convinced into racking themselves with lifelong debt equating to indentured slavery while giving into your hormonal monkey instincts for creating social bonding family structures in this political/economic climate.

Any device someone ask my help with figuring out. Its rarely the appliance that pisses me off and more the blatant learned helplessness and fundimental inability for fellow adults to rub two braincells together on figuring out a new thing or to troubleshoot a simple problem. A lifetime of being the techie fixer bitch slave constantly delegated the responsibility of figuring out everyones crap for them has left me jaded to the average persons mental capacity and basic logical application abilities.

For all the verbal fellatio Office Space receives I was expecting it to be a god-like ultimate peak of human culture type deal but in reality it was a mid movie humor and plot wise. Its not bad but its very catery to a specific audience I wasn’t part of. I can see it being one of the first and few relatable films for white collar cubicle boglins at the turn of the century which feels like pretty much the sole reason of why I have to see it occasionally referenced 25 years later.

True! Most browsers don’t have native gemini protocol support. However a web proxy like the ones I shared allow you to get gemini support no matter the web browser. Gemtext is a simplified version of markdown which means its not too hard to convert from gemtext to html/webpage. So, by scraping information from bloated websites, formatting it into the simple gemtext format markdown, then mirroring it back as a simple web/html page, it works together nicely to re-render bloated sites on simple devices using gemini as a formatting medium technology. You don’t really need to understand gemini protocol to use newswaffle + portal.mozz.us proxy in your regular web browser

Ken Cheng is a great satirist and probably knows thats not how it works anymore. Most model makers stopped feeding random internet user garbage into training data years ago and instead started using collections of synthetic training data + hiring freelance ‘trainers’ for training data and RLHF.

Oh dont worry your comments are still getting scraped by the usual data collection groups for the usual ad selling and big brother bs. But these shitty AI poisoning ideas I see floating around on lemmy practically achieve little more than feel good circle jerking by people who dont really understand the science of machine learning models or the realities of their training data/usage in 2025. The only thing these poor people are poisoning is their own neural networks from hyper focusing defiance and rage on a new technology they can’t stop or change in any meaningful way. Not that I blame them really tech bros and business runners are insufferable greedy pricks who have no respect for the humanities who think a computer generating an image is the same as human made art. Also its bs that big companies like meta/openAI got away with violating copyright protections to train their models without even a slap on the wrist. Thank goodness theres now global competition and models made from completely public domain data.

Some games just aren’t meant for you and thats okay. For example I spent a few hours playing civ enough to understand the experience it offers. I did not enjoy a single moment of its gameplay or strategy layers at any point. Apparently its a good enough game for many people to put hundreds/thousands of hours into and buy again every few years+dlc. I just didn’t pick up what it was putting down.

Which ones are not actively spending an amount of money that scales directly with the number of users?

Most of these companies offer direct web/api access to their own cloud supercomputer datacenter, and All cloud services have some scaling with operation cost. The more users connect and use computer, the better hardware, processing power, and data connection needed to process all the users. Probably the smaller fine tuners like Nous Research that take a pre-cooked and open-licensed model, tweak it with their own dataset, then sell the cloud access at a profit with minimal operating cost, will do best with the scaling. They are also way way cheaper than big model access cost probably for similar reasons. Mistral and deepseek do things to optimize their models for better compute power efficency so they can afford to be cheaper on access.

OpenAI, claude, and google, are very expensive compared to competition and probably still operate at a loss considering compute cost to train the model + cost to maintain web/api hosting cloud datacenters. Its important to note that immediate profit is only one factor here. Many big well financed companies will happily eat the L on operating cost and electrical usage as long as they feel they can solidify their presence in the growing market early on to be a potential monopoly in the coming decades. Control, (social) power, lasting influence, data collection. These are some of the other valuable currencies corporations and governments recognize that they will exchange monetary currency for.

but its treated as the equivalent of electricity and its not

I assume you mean in a tech progression kind of way. A better comparison might be is that its being treated closer to the invention of transistors and computers. Before we could only do information processing with the cold hard certainty of logical bit calculations. We got by quite a while just cooking fancy logical programs to process inputs and outputs. Data communication, vector graphics and digital audio, cryptography, the internet, just about everything today is thanks to the humble transistor and logical gate, and the clever brains that assemble them into functioning tools.

Machine learning models are based on neuron brain structures and biological activation trigger pattern encoding layers. We have found both a way to train trillions of transtistors simulate the basic information pattern organizing systems living beings use, and a point in time which its technialy possible to have the compute available needed to do so. The perceptron was discovered in the 1940s. It took almost a century for computers and ML to catch up to the point of putting theory to practice. We couldn’t create artificial computer brain structures and integrate them into consumer hardware 10 years ago, the only player then was google with their billion dollar datacenter and alphago/deepmind.

Its exciting new toy that people think can either improve their daily life or make them money, so people get carried away and over promise with hype and cram it into everything especially the stuff it makes no sense being in. Thats human nature for you. Only the future will tell whether this new way of precessing information will live up to the expectations of techbros and academics.

Theres more than just chatgpt and American data center/llm companies. Theres openAI, google and meta (american), mistral (French), alibaba and deepseek (china). Many more smaller companies that either make their own models or further finetune specialized models from the big ones. Its global competition, all of them occasionally releasing open weights models of different sizes for you to run your own on home consumer computer hardware. Dont like big models from American megacorps that were trained on stolen copyright infringed information? Use ones trained completely on open public domain information.

Your phone can run a 1-4b model, your laptop 4-8b, your desktop with a GPU 12-32b. No data is sent to servers when you self-host. This is also relevant for companies that data kept in house.

Like it or not machine learning models are here to stay. Two big points. One, you can self host open weights models trained on completely public domain knowledge or your own private datasets already. Two, It actually does provide useful functions to home users beyond being a chatbot. People have used machine learning models to make music, generate images/video, integrate home automation like lighting control with tool calling, see images for details including document scanning, boilerplate basic code logic, check for semantic mistakes that regular spell check wont pick up on. In business ‘agenic tool calling’ to integrate models as secretaries is popular. Nft and crypto are truly worthless in practice for anything but grifting with pump n dump and baseless speculative asset gambling. AI can at least make an attempt at a task you give it and either generally succeed or fail at it.

Models around 24-32b range in high quant are reasonably capable of basic information processing task and generally accurate domain knowledge. You can’t treat it like a fact source because theres always a small statistical chance of it being wrong but its OK starting point for researching like Wikipedia.

My local colleges are researching multimodal llms recognizing the subtle patterns in billions of cancer cell photos to possibly help doctors better screen patients. I would love a vision model trained on public domain botany pictures that helps recognize poisonous or invasive plants.

The problem is that theres too much energy being spent training them. It takes a lot of energy in compute power to cook a model and further refine it. Its important for researchers to find more efficent ways to make them. Deepseek did this, they found a way to cook their models with way less energy and compute which is part of why that was exciting. Hopefully this energy can also come more from renewable instead of burning fuel.

This meme was originally made for the !netsphere@sopuli.xyz community in an attempt to give a super niche manga artist fan place a little bit of engagement, I crossposted it here as an afterthought didn’t expect go be brigaded so hard by armchair memologist over the objective definition and location of the funny.

You’re absolutely correct that you need to have read the Blame! manga to get the reference on this one to really enjoy, even if you did its not that deep. Not too much thought went into it I was high as shit just pasting icons with the ‘linux chad big energy beam, windows/microsoft wojak bad guys its fired at’. Im personally okay with not every one of my memes being super accessible or community bangers I had fun making this and putting the template together. If you get the humor or like the template great. If you don’t, oh well downvote say ‘where funny’ and move on with your life cause im not wasting my time explaining what a graviational beam emitter is to snobs who don’t care in the first place.

TFW you have so much brain-rot that cerebrospinal fluid starts leaking out and pooling under your mattress

You can make some pretty potent lube topicals at home for a fun night with the computer :)

Okay I think the term ‘foot-gun’ is supposed to evoke the image of someone loading a gun and pointing it at their own foot. I can’t help trying to picture a gun thats operated by a foot. Like a mech suit with a robot leg that also fires massive tank shattering shells when you do a roundhouse kick as a human operator. Or a veteran prosthetic leg that’s also a rifle when you kick it the right way.

The brain rot seeps just a little bit more every time I see the term ‘foot-gun’ please help.

I use Hemp, btw.

Been there done that. Got some good gigs as a mildew-man but eventually the mycelium grafting into my neurons was starting to cause motor function issues so I had to give that life up. Good times though it felt like microdosing on cube shrooms 24/7 overall I’d do it all again if I had the chance.

One of my more iconic acting roles you might recognize :

Some other conenders are throwup/bile and snot/mucus

Our existance is an expression of art. Each of us is an individual being whos experiences in totalitt act as threads weaving together the tapestry of life. Every emotion expressed is paint, every action and consequence the brush.

The universe and everything born from it are machinations of creative whimsy and play. Being alive and choosing to continue your complicated existance is one of the highest forms of divine art.

The legal term for a lethal ‘oopsie’ is manslaughter I’m pretty sure.

Ive always found it a little strange that the law and insurance companies and human society in general is hyperfocused with finding a scapegoat to blame and persecute. People die sometimes just because of shit happening outside of anyone’s control but we’ve gotta dig for someone to pin blame on. Someones parachute didn’t work right that day? Its the parachute makers or the safety inspectors or the airplane owners who are to blame and not random unavoidable small chance of statistical failure rates. Gotta sue sue sue!

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Penny is usually my choice though I consider Abigail and leah too.

She comes from an impoverished broken home with that thing as a mom, but still tries to be a better version of herself and enrich the lives of local kids. She’s bookish and likes the library. Also isnt picky about common gifts.

Quiet, shy, kind, humble and intelligent. Green flags all around. As a bonus she has some actual assets in the picture even if they’re only little b or c-cups. half the girl portraits I can’t tell what they got going on body wise.