I volunteer as developer for a decade old open source project. A sizable amount of my contribution is just cooking up decent documentation or re-writting old doc from the original module authors written close to a decade ago because it failed me information wise when I needed it. Programmers as it turns out are very 'eh, the code should explain itself to anyone with enough brains to look at it' type of people so lost in the sauce of being hyperfluent tech nerds instantly understanding all variables, functions, parameters, and syntax at very first glance at source code, that they forgot the need for re-translation into regular human speak for people of varying intelligence/skill levels who can barely navigate the command line.
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Theres a very vocal subset of the ai-hater Lemmy population that thinks
- the only machine learning models are ones made by mgacorporations like facebook ans openai using stolen internet data
- model creators in 2025 are still using stolen scraped unfiltered internet data for training datasets
Theres plenty of models trained on completely open public domain information and released under a permissive license. This isnt the era of tayAI twitter garbage fed sloppo models anymore. All the newest models are trained on 90% synthetic data, 10% RFHL done by contracted out educators with degrees making a quick buck through easy remote work.
But that doesnt matter to the emotionally and political charged Lemmy leftist with liberal arts degrees who dont care to understand the realities behind machine learning.
No, the modern AI bubble begins and ends for them with their art being stolen by facebook/meta without so much as a handslap by the govt then having stablediffusion rubbed in their face automation threatening their livelyhood by smug greedy tech bros without a shred of respect for human creativity.
So in retaliation, the Lemmings throw tantrums in the comments of all ai gen post babbling about how the newest batch of didital computer tools to cut down manual work is destroying everything, and clutch on to the venence fantasy they can still 'poison the AI that stole my work!' By saying the magic words like a SCP cognitohazard.
The reality is the only one still scraping your slop is ad sellers and big brother, while the only human data being fed into modern chatgpt is from someone with an associates degree in an academic field.
Ive chosen to allow the comment to stay in this scenario as I dont believe in censorship especially if the post isnt against stated guidelines. I am against fostering echo chambers.
However, c/localllama was always intended to be a small island of safe space for ML enthusiast to talk and share the hobby in a positive construtive way without fear of being attacked/shit on by the general Lemmy population who just dont get what we do here except that we support 'AI'. Haters who dont understand can go to literally any other community to circlejerk without pushback, I think a few fuckAI communities exist just for that purpose. So If these kind of cloak-and-dagger wink wink nudge nudge antagonistic comments about 'poisoning teh AI!' become more common I'll update guidelines and start enforcing them appropriately.
We recently got an airfryer. it helps cut down prep time and ease of cleaning to the point I don't get upset about it anymore. Would highly recommend if you haven't got one already
You shouldn't be sorry, you didn't do anything wrong content wise. If anything you helped the community by sparking a important conversation leading to better defined guidelines which I imagine will be updated if this becomes a common enough issue.
I enjoyed the meme LadyButterfly. the Lemmy AI hate train has gone full circle-jerk meltdown with this one, sorry it happened to you. Thanks for the laugh.
Thank you for the explanation! I never really watched the Olympics enough to see them firing guns. I would think all that high tech equipment counts as performance enhancement stuff which goes against the spirit of peak human based skill but maybe sports people who actually watch and run the Olympics think differently about external augmentations in some cases.
Its really funny with the context of some dude just chilling and vibing while casually firing off world record level shots
If they added one more x onto maxx and bought some cheap property rights they could have done some serious rebranding
Who are these people?
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.
There are some pretty close physical analogs that are fun to think about. You cant move a black hole by exerting physical force on it in the normal way so practically infinite gravity wells are like a immovable "object", though if you're sufficently nerdy enough you can cook some fun ways to harness its gravitational rotation into a kind of engine, or throw another black hole at it to create a big explosion and some gravitational waves which are like a kind of unstoppable force moving at the speed of light.
"Hey, how's it going"
stares blankly at you like a deer looking at headlights for 15.50 seconds with an uncomfortable silence.
"Good."
walks away
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.
I'm like 60% sure during the height of subway in mid-2000s-early 2010s the subway commercials actually did advertise the foot long as being 12 inch sub's for 5$ (goddamn the 5$ foot long ads were catchy). However unlike real measurements that have defined standards, as subway enshitified they weren't forced to change naming as they slowly shrank the sandwiches. Of course this is long enough ago that an entire generation doesnt know who Jared was so its okay to assume it was never a real foot long.