Let me explain what I mean:

radical acceptance: ever think about how your coworkers are morons, your elderly parents have declined beyond recognition and actively work against you and seem to live to ruin every single one of your days, your boss is an insufferable, exploitative ass, your uncle has lung cancer but keeps smoking a pack a day, your teenager daughter is doing drugs because is trendy, just like you did when you were her age? You cannot change how any of those actors in your life behave, people are free to do whatever they want, even to do stupid crap like that. Trying to change any of those actors is futile and guarantees your mental health decreases overtime and they resent you for caring about them. The better but not ideal solution? Radical acceptance. They are what they are, don’t try to change them, accept them how they are. Let them fail.

This was suggested to me while talking about relatives with dementia and other mental illnesses, but I don’t know if I’m stretching the definition too much.

Spineless conformist: if there are things I cannot control nor change, like climate change, lack of a public healthcare system in America, fptp, maga… why even try? I’d be both radical accepting reality while being a spineless conformist.

Where’s do you draw the line?

cross-posted from: https://lemmygrad.ml/post/9721381

Your thoughts?

Ugh, I wish I could make a list of my sensory stims or the stimuli that gets me going, but it's so hyper-specific and doesn't seem to be able to be done on a whim.

Certain sounds are heard and then never heard again.

It is what it is.

Do you all have stims that you can do on a whim or listen to on repeat?

The inventor of the World Wide Web still believes in the internet as a force for good.

between March 1984 and August 1985, an unknown criminal — or maybe a whole group — extorted and terrorized some of Japan’s biggest snack manufacturers. Before long, a simple trip to the candy aisle had become a national act of courage — because one bite could’ve been your last.

The “Glico-Morinaga Case” is one of the strangest, most fascinating, and most unsettling stories to come out of 1980s Japan — a wild mix of kidnapping, ransom demands, mysterious letters, food poisoning and mass panic. And at the center of it all: One shadowy figure, or maybe several, who remain unknown even today, more than 4 decades later!

This… is the story of The Monster with 21 Faces — 1980s Japan’s biggest mystery.

Uploaded to YouTube by ANIKI.

Thailand on Monday suspended peace talks with Cambodia after two Thai soldiers were injured by a land mine in the disputed border area, casting doubt on a two-week-old pledge by the countries to resolve their longstanding differences at the behest Trump.

Prime Minister Anutin Charnvirakul told reporters on Monday that talks with Cambodia could not proceed and that Thailand was still “dealing with an adversary.”

“Everything must stop,” Mr. Anutin said. The hostilities that Thailand thought had disappeared, he added, “had not gone anywhere” and talks had to be halted “until there is further clarity.”

With Firefox 145, we’re rolling out major privacy upgrades that take on browser fingerprinting — a pervasive and hidden tracking technique that lets websites identify you even when cookies are blocked or you’re in private browsing. These protections build on Mozilla’s long-term goal of building a healthier, transparent and privacy-preserving web ecosystem.

I recently joined Pixelfed and, considering there's no algorithm, hashtags are the only way to be discovered.

I hate hashtag optimizing, but I also don't want to upload my image to someone else's random server before posting it to pixelfed, just to generate hashtags. Where should I look to find something I can host myself, or even something that runs natively on Android/Linux, that'll generate hashtags/keywords for an image?

I have a Pixel 8.... a PC with Linux Mint. How do I learn to "self host". Mainly for photo storage backup. Where do I start? I know nothing, absolutely nothing

About 1 in every 8 U.S. teenagers and young adults turns to artificial intelligence (AI) chatbots for mental health advice, a new study says.

AI bots offer a cheap and immediate ear for younger people's concerns, worries and woes, researchers wrote in JAMA Network Open. However, it's not clear that these programs are up to the challenge, researchers warned.

"There are few standardized benchmarks for evaluating mental health advice offered by AI chatbots, and there is limited transparency about the datasets that are used to train these large language models," investigator Jonathan Cantor said in a news release. He's a senior policy researcher at RAND, a nonprofit research organization.

The new study follows on a report that OpenAI is facing seven lawsuits claiming ChatGPT drove people to delusions and suicide, according to The Associated Press.

China suspended for one year port fees levied on U.S.-linked vessels, its transport ministry said on Monday, after Washington announced a similar pause on punitive actions against China's shipping and shipbuilding sectors.

The reciprocated pauses were in line with agreements reached by Donald Trump and Xi Jinping during a summit in South Korea last month.

cross-posted from: https://lemmy.world/post/38565024

Dutch cycling website outspoken about having to close because of AI-related content theft

Ok so idk if this is the most appropriate place to post this, but are the extreme views and statement we see on these platforms really just “bots” and “internet noise” are these genuinely the worst parts of humanity?

For context/elaborating on it, I kinda drifted off from lemmy to reddit due to lack of content here and holee fuck, its just horrifying, the amount of pro genocidal statements and cheers for extremism genuinely makes me feel at extreme unease, but it also makes me ask a question. I come from a conservative southasian society and whenever you bring up topics like treatment of minorities, lgbtq+ rights, feminism etc, people normally dont comment on this stuff or make a “harmless joke” out of it, but seeing reddit pages of the same grp of ppl it makes me genuinely feel that these guys hold on to genuinely insane beliefs, and are just afraid to present it to anyone in person..

https://nypost.com/2025/05/23/us-news/nyc-mayoral-candidate-zohran-mamdani-doubles-down-on-bds-support-wont-say-israel-has-right-to-exist-as-jewish-state/

The Food and Drug Administration says it is removing the black box safety warnings from all hormone therapy creams, pills and other treatments prescribed to ease the symptoms of menopause and perimenopause.

The prominent warnings said these therapies could raise the risks for some cancers, dementia, heart attacks and strokes. That, FDA Commissioner Marty Makary told CBS News' Norah O'Donnell, scared women from using drugs that could in fact improve their health.

So I’ve tried Jellyfin Book plug-in but since it doesn’t allow pinch-to-zoom (at least on my phone’s app) that will not work for me

I’ve already thinker with Kavita so I’ll probably be ok for the first install.

My problem come when I want to run it in the background (as a client ?) at this point I’m completely lost

cross-posted from: https://ibbit.at/post/104505

From US news | The Guardian via this RSS feed

A new paper argues that current LLMs are fundamentally broken because they're completely static. They call it "anterograde amnesia", which is honestly spot on. A model gets pre-trained, and from that moment on, its weights are frozen. It can't actually learn anything new. Sure, it has a context window, but that's just short-term memory. The model can't take new information from its context and permanently update its own parameters. The knowledge in its MLP layers is stuck in the past, and the attention mechanism is the only part that's live, but it forgets everything instantly.

The paper introduces what they term Nested Learning to fix this. The whole idea is to stop thinking of a model as one big, deep stack of layers that all update at the same time. Instead, they take inspiration from the brain, which has all kinds of different update cycles running at different speeds in form of brain waves. They represent the model as a set of nested optimization problems , where each level has its own update frequency. Instead of just deep layers, you have levels defined by how often they learn.

The idea of levels was then used to extend the standard Transformer which has a fast attention level that updates every token and the slow MLP layers that update only during pre-training. There's no in-between.

The paper presents a Hierarchical Optimizers and Parallel Extensible model with additional levels. You might have a mid-frequency level that updates its own weights every, say, 1,000 tokens it processes, and a slower-frequency level that updates every 100,000 tokens, and so on. The result is a model that can actually consolidate new information it sees after pre-training. It can learn new facts from a long document and bake them into that mid-level memory, all while the deep, core knowledge in the slowest level stays stable. It creates a proper gradient of memory from short-term to long-term, allowing the model to finally learn on the fly without just forgetting everything or suffering catastrophic forgetting.

So, a buddy of mine dropped off a box of 18 Wyse 3040 & 5010 thin clients. I believe they all run W10 embedded, but doing some research, I think I can also run a lightweight Linux OS like maybe Tiny Core. The 5010 can run SuSE Linux Desktop 11, ThinOS, or ThinOS PCOIP acording to Dell.

So, the burning question I have today is 'If you were gifted a box of 18 Wyse 3040 & 5010 thin clients, what would you do with them'? I want something I can incorporate into my already established homelab.

Inundate me with ideas!