Senór Clam's Happy Times Existential Pit of Woe

Just why n shit?

[uesp]

Something slightly sad: After the technology finally reached the point where you could play Morrowind without the close loading fog, and realizing how tiny Red Mountain really was.

[senorclams]

Being able to see Vivec from Seyday Neen did this to me.

[dastardlydorito]

the protomolecule’s haunting space jellyfish structure embarking on its maiden voyage.  #same amos. same.

[senorclams]

Artistic rendering of me getting to the bathroom after holding it in for 3 hours.

[ladynerevar]

[uesp]

URBEK HOPE THIS BOOK BRING READER JOY AND CONFIDENCE TO PURSUE DREAMS OF SMASHING FOR FUN AND PROFIT. WHEN URBEK FIRST START SMASHING HE WAS JUST TINY, FLIMSY CHILD CHIPPING ROCK FOR TUMNOSH CLAN. URBEK HAD SETBACKS LEARNING TO SMASH MANY THINGS, ESPECIALLY PAPER. NOW URBEK SUCCESSFUL ENTREPRENEUR WITH GROWING WORDSMASHING BUSINESS. NEVER LET TOUGHNESS OF SMASHING SMASH YOU DOWN. WHEN SMASHING GET TOUGH, SMASH TOUGHER.

–Excerpt from ART OF SMASHING VOL. 1 HARDBOUND EDITION

[senorclams]

#motivational

[uesp]

“I don’t know you, and I don’t care to know you.”

–Ulrich Leland

“Get out of my way before I have you slapped in irons.”

–Also Ulrich Leland

“You better hope I never get out of here.”

–Ulrich Leland, after being imprisoned for his crimes

“Remorse? Ha!”

–Also Ulrich Leland while in prison

“Come to gloat eh? Well you’ll get no apology from me!”

–Ulrich Leland, again while imprisoned

[senorclams]

Current mood.

[superb1a]

When you bullshit an essay and manage to get a good grade.

[senorclams]

Every assignment I've ever done.

[gahdamnpunk]

Louder for the people in the back 🗣🗣

[millennial-review-deactivated20]

[senorclams]

I've found that having your third coffee by 9:30am really helps keep your heart racing as the rest of you gives up and fades into oblivion anyway.

[effervescentbi]

anonymous requested→  #same energy

[onclickonload]

[programminghumour]

An oldie but a goodie

[corantus]

[wife drops me off at moominvalley]

[lauralot89]

Once, I encountered the funny story of an AI image descriptor with a sheep obsession. It had been trained on pictures of fields of sheep. Therefore, it tagged anything in a field as 'sheep', including an empty field, because they work on statistical probability. Therefore, it thinks "ah, a field! there's probably a sheep here." (It's a bit more complicated but basically that.) It also couldn't recognise sheep in places that weren't fields, such as petrol stations or barns. [cont]

Now, the alarming aspect of this story is that the very same technology is probably what tumblr is using to identify porn. Now, if it can’t tell that an empty field is not, in fact, full of sheep, what hope do we have that it can’t tell an empty room isn’t full of writing human forms engaged in passionate coitus?

this really does sound like an episode of black mirror

[architeuthism]

But wait, it’s even weirder than that!

[retroactivebakeries]

This is gonna produce some absolutely baffling pornography.

[crazy-pages]

…. oh my fucking god they actually are using open source software. They’re using a fucking one-layer unidirectional bicategory tag-trained neural network. This will never work. Literally, it will never work. There’s just not enough algorithmic complexity to do what they’re asking of it. I bet you I could prove on a mathematical level that this joke of a neural net fundamentally lacks the abstraction necessary to do its job.

This will never get better. Their algorithm will never stop fucking up, it will never actually flag porn reliably and it will always require a massive quantity of human hours to deal with the deluge of mistagged pictures. This isn’t just a case of an insufficiently trained algorithm, it’s just … this is the most basic neural network you can make. It probably hasa a lot of neurons and has loads of training data but like … you can’t just brute force this kind of stuff. One layer of neurons is just Not Enough.

[crazy-pages]

Also, just to make this clear, Tumblr lied. I mean, we already know this, but I mean they liiiieeeeed. All that stuff they promised about what would or would not be censored? That cannot be delivered on with a system this simple. Nude classical sculptures, political protests, male-presenting nipples (really Tumblr?), nude art outside the context of sex, all that? You cannot train a bicategory one-layer neural network to exclude those things. It cannot be done. Tumblr never intended for those things to actually be permitted, they were just lying. Because the system they have cannot actually do what they said it would and never will be able to.

Also, this kind of system is super vulnerable to counter-neural strategies. I bet you before the end of the month someone hooks up their own open source one layer bicategory neural network which puts an imperceptible (to humans) layer of patterned static over arbitrary images, and trains it by having it bot-post static-ed images to Tumblr and reinforcing based on whether the images are labeled nsfw or sfw. Seriously, within a month someone will have an input-output machine which can turn any image ‘sfw’ in Tumblr’s eyes.

This is genuinely pathetic. Like, I have real pity for whoever implemented this, because it’s clear Tumblr doesn’t actually have any engineers with any expertise with machine learning left at all and they foisted the job off on some poor bastard who has no idea what they’re doing and is going to get all kinds of flak for their (perfectly reasonable and predetermined) failure from management.

[senorclams]

Fun with neural networks.

[programmerhumour]

Coexistence

[millennial-review-deactivated20]

[mrsokiedoke]

Annnnd our parents and grandparents never taught us basic life skills because the baby boomer generation loved outsourcing easy work, like hemming pants and baking cakes. The generations before us glommed onto the fast, easy fix, and important skills have been lost in the process.

(And of course the generation who raised us loves to act fake shocked like “my grandkids don’t know how to boil water” like yeah, Janice, that’s because you took your kids out to eat 6 nights a week and baked Stouffers lasagna one night)

And now we are broke. And can’t afford to pay $60 to have every pair of pants we own hemmed (shoutout to shorties!). We are making yogurt because we can’t afford to pay $2.50 for one yogurt.

I’ve learned to knit to make myself wool hats and scarves. I’ve learned to sew so I can make items that would otherwise cost me 4x the cost to make it. I’ve learned to make yogurt because I would prefer to spend $2 for a gallon of milk and get 24 yogurts out of it rather than just one.

I’ve planted fruit trees in my yard so I can reduce the carbon footprint of the fruit I eat, and because produce is expensive.

I raise egg-laying chickens so I don’t contribute to factory farming.

My husband hunts deer so that we can eat lean, virtually fat free meat, and also not contribute to factory farming. The deer live happy lives and are not allowed to suffer. (Hey PS also, hunting up here plays an important role in ecology, as otherwise the deer population would explode, and deer would starve in the winter. Thanks for coming to my TEDta…)

My generation is going on YouTube to learn to change tires, bake bread and do their taxes because y’all sure as shit didn’t teach us.

[motherofcats666]

THIS

[ironbite4]

Lets not forget the phasing out of the HomeEc class.  Or the Shop Class.

[lkeke35]

Alleviating one’s ignorance of a subject should NEVER, EVER be looked down on! Learning and growing are never anything to be shamed of, or for!

[silverelfmage]

reblogging for the additions.  

[apathetic-revenant]

really if you take a moment to think about the headline it basically just says “millennials are so helpless they’re taking time to learn how to do things they don’t know how to do”

oh no…how awful…

[decepticonsensual]

Damn kids and their *spins roulette wheel* commitment to continued education in practical skills…

[menoptera]

Argonians 👏 should 👏 not 👏 have 👏 titties

[senorclams]

Bold claims in lizard people Fandom.