#human spot

[kajamnikk]

the goofball:]]]

and the doggy

[eizzhah]

wolfcut

[frenchublog]

[lilybug-02]

City of Tears. But Mini.

I wanted to make an atmospheric art piece with Dewi. And the City of Tears is one of the most sorrowing, beautiful, and grand places to do that. This is a lot of firsts for me regarding the architecture and lighting. The shadows cover a lot, and it may have been too much. I'm happy with how it turned out tho.

No idea how Dewi found his way into the City. Probably magic. Probably plot too :) But oh boy, he is experiencing childlike wonder in his raincoat!

This is a better show of the line detail I needlessly covered up in the final lol

[kaidatheghostdragon]

Good reveal au, where after learning phantom's identity and realizing the atrocities that the GIW have committed (or alternatively, ethical science au, where they find out the GIW plagarized them), the fenton parents decided to create the 'ultimate ghost-ending weapon' and sell it to the agents.

They go absolutely overboard, describing to the agents in meticulous detail how it evaporates any ghost it hits near-instantly and describing it quite ruthlessly in the blueprints, and soon the GIW have raplaced all their main weapons with the new gun.

Except it doesn't actually kill ghosts. It's the Fenton Bazooka. You know, the one that creates a portable portal to suck the ghost back into the ghost zone? What they actually did was retool it slightly to make it look more grusome than it actually is. They even added a beacon in Phantom's Keep, which all Fenton Bazookas will target when they open a portal, so the ghosts are always delivered to the keep.

From there, Phantom stationed an emergency medical team at the keep to treat the many injured and ragged ghosts that the GIW 'destroyed,' and to explain what just happened.

What they didn't anticipate was that now that the GIW have a mass-produced weapon that they believed would effectively eradicate ghosts, they would go on the offensive. They have a number of cities they've been monitoring but didn't want to get involved in without better tools.

One of those cities is Gotham.

And the Bats are ectocontaminated enough to register as ghosts.

Batman witnessed several of his children get evaporated by green energy weapons within mere moments of each other. He's absolutely gutted. Devastated. They didn’t even stand a chance.

He'll get his revenge, and it's frighteningly easy to track the weapon to private subcontractors. The Doctors Fenton, in Illinois. Their research calls for the genocide of all ghost kind, and apparently, that war started by killing his own children.

His children will not die in vain.

He gets to Amity Park and finds the Engineer's Nightmare of a building that is Fentonworks, but that night, before he can hack through the security and break in, one of the windows opens.

It's one of his kids that he had watched evaporate before his very eyes. They give him a silent signal of one of their identifying security codes and gesture for him to come inside.

Is it a trap? A prank in poor taste? Utterly genuine?

He goes through the window.

All of his dead kids are there, wearing borrowed pajamas and only their dominoes to conceal their identities. Daniel Fenton (son of the Fentons, this is his bedroom, has voiced a few arguments against his parent's views, but still an unknown) is among the crowd of teens and young adults, twirling on an office chair and obnoxiously sipping a capri sun.

"First thing you need to know, Bats," Daniel says after finishing his drink, "is that my parents are absolutely NOT genocidal ectophobic scumbags, and that is the reason why your kids are still alive."

[kizzer55555]

DP x DC: The Most Dangerous Card Game

Ok so Danny has essentially claimed earth as his. And he is fully aware that there are constant threats to the planet. Now he can’t stop a threat that originates on earth (that’s something he’ll leave to the Justice league) but he can do something about outside threats. Doing some research on ancient spells, rituals, and artifacts, he cast a world wide barrier on the planet to protect it from hostile threats so they cannot enter. This will prevent another Pariah Dark incident. However, barriers like this come at a price. You see, there are two ways to make a barrier. Either make one powered up by your own energy and power (which would be constantly draining) or set up a barrier with rules. The way magic works is that nothing can be absolutely indestructible. It must have a weakness. The most powerful barriers weren’t the ones reinforced with layer after layer of protective charms and buffed up with power. Those could eventually be destroyed either by being overpowered, wearing them down, or by cutting off the original power source. No, the most powerful barriers were the ones with a deliberate weakness. A barrier indestructible except for one spot. A cage that can only be opened from the outside. Or that can only be passed with a key or by solving a riddle. So Danny chooses this type of barrier and does the necessary ritual and pours in enough power to make it. And he adds his condition for anyone to enter. 

Now the Justice league? Find out about the barrier when Trigon attempts to attack, they were preparing after he threatened what he would do once he got to earth. How he would destroy them. The Justice league tried to take the fight to him first but were utterly destroyed, so they retreated home to tend to their injuries, and fortify earth for one. Last. Stand. Only when Trigon makes his big entrance…he’s stopped.

The Justice league watch in awe as this thin see-through barrier with beautiful green swirls and speckled white lights like stars apears blocking Trigon and his army’s advance. The barrier looks so thin and fragile yet no matter how hard the warlord hits, none of his attacks can get through and neither can he damage said barrier. That’s when Constantine and Zatanna recognizes what this barrier is. Something only a powerful entity could create. For a moment, the league is filled with hope that Trigon can’t get through yet Constantine also explains that it’s not impenetrable. And clearly Trigon knows this too for he calls out a challenge. 

And that’s when, in a flash of light, a tiny glowing teenager appears. He looked absolutly minuscule compared to Trigon and yet practically glowed with power (this isn’t a King Danny AU though).

And that is when the conditions for passing the barrier are revealed. And the Justice realize that the only thing stopping Trigon and his army from decimating earth. The only way he can get through….is by beating this glowing teenager in a card game. 

Not just any card game though. The most convoluted game Sam, Danny, and Tucker invented themselves. It’s like the infinite realms version of magic the gathering, combined with Pokémon, and chess. And Danny is the master. So sit down Trigon and let’s play.

(The most intense card game of the Justice league’s life).

After Danny wins, this happens a few more times with outer word beings and possibly even demons attempting to invade earth, yet none have been able to beat the mysterious teenager in a card game. Constantine might even take a crack at it and try to figure out how to play. He’s really bad though. Every time this happens, the Justice league worry that this might be the time the teenager looses. Yet every time, he wins (even if only barely). 

Meanwhile, Danny, Sam, and Tucker have gotten addicted to the game and play it almost daily. Some teachers might seem them playing the game are are like ‘awww how cute’ not realizing this game is literally saving the world. Jazz is just happy they aren’t spending as much time on their screens playing Doomed.

[anris-resurrection]

Aren't you a sight for sore EYE

[poorly-drawn-mdzs]

Out of sight, out of - wait.

[First] Prev <–-> Next

[fantasblog]

Human scientist bill cipher au. And some doodles of himself,heheh.

he having his another part of his job as therapy.

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Scibill /scientist bill cipher/shift falls bill cipher and alt version of scibill,spot!bill cipher by me

Mr bill pines (au)belongs to honeqq

euclydiafoundAU Belongs to raven-anime

[tenyardstowitchyard]

Can you imagine this place in its time? Hordes of bugs travelling about the Kingdom; stag bells ringing; the station bustling with activity and life.

Now only our like even know it exists. That's a special thing I suppose, to cherish these sights, even in their decay

[mostlysignssomeportents]

“Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed

I'm touring my new, nationally bestselling novel The Bezzle! Catch me SATURDAY (Apr 27) in MARIN COUNTY, then Winnipeg (May 2), Calgary (May 3), Vancouver (May 4), and beyond!

If AI has a future (a big if), it will have to be economically viable. An industry can't spend 1,700% more on Nvidia chips than it earns indefinitely – not even with Nvidia being a principle investor in its largest customers:

https://news.ycombinator.com/item?id=39883571

A company that pays 0.36-1 cents/query for electricity and (scarce, fresh) water can't indefinitely give those queries away by the millions to people who are expected to revise those queries dozens of times before eliciting the perfect botshit rendition of "instructions for removing a grilled cheese sandwich from a VCR in the style of the King James Bible":

https://www.semianalysis.com/p/the-inference-cost-of-search-disruption

Eventually, the industry will have to uncover some mix of applications that will cover its operating costs, if only to keep the lights on in the face of investor disillusionment (this isn't optional – investor disillusionment is an inevitable part of every bubble).

Now, there are lots of low-stakes applications for AI that can run just fine on the current AI technology, despite its many – and seemingly inescapable - errors ("hallucinations"). People who use AI to generate illustrations of their D&D characters engaged in epic adventures from their previous gaming session don't care about the odd extra finger. If the chatbot powering a tourist's automatic text-to-translation-to-speech phone tool gets a few words wrong, it's still much better than the alternative of speaking slowly and loudly in your own language while making emphatic hand-gestures.

There are lots of these applications, and many of the people who benefit from them would doubtless pay something for them. The problem – from an AI company's perspective – is that these aren't just low-stakes, they're also low-value. Their users would pay something for them, but not very much.

For AI to keep its servers on through the coming trough of disillusionment, it will have to locate high-value applications, too. Economically speaking, the function of low-value applications is to soak up excess capacity and produce value at the margins after the high-value applications pay the bills. Low-value applications are a side-dish, like the coach seats on an airplane whose total operating expenses are paid by the business class passengers up front. Without the principle income from high-value applications, the servers shut down, and the low-value applications disappear:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

Now, there are lots of high-value applications the AI industry has identified for its products. Broadly speaking, these high-value applications share the same problem: they are all high-stakes, which means they are very sensitive to errors. Mistakes made by apps that produce code, drive cars, or identify cancerous masses on chest X-rays are extremely consequential.

Some businesses may be insensitive to those consequences. Air Canada replaced its human customer service staff with chatbots that just lied to passengers, stealing hundreds of dollars from them in the process. But the process for getting your money back after you are defrauded by Air Canada's chatbot is so onerous that only one passenger has bothered to go through it, spending ten weeks exhausting all of Air Canada's internal review mechanisms before fighting his case for weeks more at the regulator:

https://bc.ctvnews.ca/air-canada-s-chatbot-gave-a-b-c-man-the-wrong-information-now-the-airline-has-to-pay-for-the-mistake-1.6769454

There's never just one ant. If this guy was defrauded by an AC chatbot, so were hundreds or thousands of other fliers. Air Canada doesn't have to pay them back. Air Canada is tacitly asserting that, as the country's flagship carrier and near-monopolist, it is too big to fail and too big to jail, which means it's too big to care.

Air Canada shows that for some business customers, AI doesn't need to be able to do a worker's job in order to be a smart purchase: a chatbot can replace a worker, fail to their worker's job, and still save the company money on balance.

I can't predict whether the world's sociopathic monopolists are numerous and powerful enough to keep the lights on for AI companies through leases for automation systems that let them commit consequence-free free fraud by replacing workers with chatbots that serve as moral crumple-zones for furious customers:

https://www.sciencedirect.com/science/article/abs/pii/S0747563219304029

But even stipulating that this is sufficient, it's intrinsically unstable. Anything that can't go on forever eventually stops, and the mass replacement of humans with high-speed fraud software seems likely to stoke the already blazing furnace of modern antitrust:

https://www.eff.org/de/deeplinks/2021/08/party-its-1979-og-antitrust-back-baby

Of course, the AI companies have their own answer to this conundrum. A high-stakes/high-value customer can still fire workers and replace them with AI – they just need to hire fewer, cheaper workers to supervise the AI and monitor it for "hallucinations." This is called the "human in the loop" solution.

The human in the loop story has some glaring holes. From a worker's perspective, serving as the human in the loop in a scheme that cuts wage bills through AI is a nightmare – the worst possible kind of automation.

Let's pause for a little detour through automation theory here. Automation can augment a worker. We can call this a "centaur" – the worker offloads a repetitive task, or one that requires a high degree of vigilance, or (worst of all) both. They're a human head on a robot body (hence "centaur"). Think of the sensor/vision system in your car that beeps if you activate your turn-signal while a car is in your blind spot. You're in charge, but you're getting a second opinion from the robot.

Likewise, consider an AI tool that double-checks a radiologist's diagnosis of your chest X-ray and suggests a second look when its assessment doesn't match the radiologist's. Again, the human is in charge, but the robot is serving as a backstop and helpmeet, using its inexhaustible robotic vigilance to augment human skill.

That's centaurs. They're the good automation. Then there's the bad automation: the reverse-centaur, when the human is used to augment the robot.

Amazon warehouse pickers stand in one place while robotic shelving units trundle up to them at speed; then, the haptic bracelets shackled around their wrists buzz at them, directing them pick up specific items and move them to a basket, while a third automation system penalizes them for taking toilet breaks or even just walking around and shaking out their limbs to avoid a repetitive strain injury. This is a robotic head using a human body – and destroying it in the process.

An AI-assisted radiologist processes fewer chest X-rays every day, costing their employer more, on top of the cost of the AI. That's not what AI companies are selling. They're offering hospitals the power to create reverse centaurs: radiologist-assisted AIs. That's what "human in the loop" means.

This is a problem for workers, but it's also a problem for their bosses (assuming those bosses actually care about correcting AI hallucinations, rather than providing a figleaf that lets them commit fraud or kill people and shift the blame to an unpunishable AI).

Humans are good at a lot of things, but they're not good at eternal, perfect vigilance. Writing code is hard, but performing code-review (where you check someone else's code for errors) is much harder – and it gets even harder if the code you're reviewing is usually fine, because this requires that you maintain your vigilance for something that only occurs at rare and unpredictable intervals:

https://twitter.com/qntm/status/1773779967521780169

But for a coding shop to make the cost of an AI pencil out, the human in the loop needs to be able to process a lot of AI-generated code. Replacing a human with an AI doesn't produce any savings if you need to hire two more humans to take turns doing close reads of the AI's code.

This is the fatal flaw in robo-taxi schemes. The "human in the loop" who is supposed to keep the murderbot from smashing into other cars, steering into oncoming traffic, or running down pedestrians isn't a driver, they're a driving instructor. This is a much harder job than being a driver, even when the student driver you're monitoring is a human, making human mistakes at human speed. It's even harder when the student driver is a robot, making errors at computer speed:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

This is why the doomed robo-taxi company Cruise had to deploy 1.5 skilled, high-paid human monitors to oversee each of its murderbots, while traditional taxis operate at a fraction of the cost with a single, precaratized, low-paid human driver:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

The vigilance problem is pretty fatal for the human-in-the-loop gambit, but there's another problem that is, if anything, even more fatal: the kinds of errors that AIs make.

Foundationally, AI is applied statistics. An AI company trains its AI by feeding it a lot of data about the real world. The program processes this data, looking for statistical correlations in that data, and makes a model of the world based on those correlations. A chatbot is a next-word-guessing program, and an AI "art" generator is a next-pixel-guessing program. They're drawing on billions of documents to find the most statistically likely way of finishing a sentence or a line of pixels in a bitmap:

https://dl.acm.org/doi/10.1145/3442188.3445922

This means that AI doesn't just make errors – it makes subtle errors, the kinds of errors that are the hardest for a human in the loop to spot, because they are the most statistically probable ways of being wrong. Sure, we notice the gross errors in AI output, like confidently claiming that a living human is dead:

https://www.tomsguide.com/opinion/according-to-chatgpt-im-dead

But the most common errors that AIs make are the ones we don't notice, because they're perfectly camouflaged as the truth. Think of the recurring AI programming error that inserts a call to a nonexistent library called "huggingface-cli," which is what the library would be called if developers reliably followed naming conventions. But due to a human inconsistency, the real library has a slightly different name. The fact that AIs repeatedly inserted references to the nonexistent library opened up a vulnerability – a security researcher created a (inert) malicious library with that name and tricked numerous companies into compiling it into their code because their human reviewers missed the chatbot's (statistically indistinguishable from the the truth) lie:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

For a driving instructor or a code reviewer overseeing a human subject, the majority of errors are comparatively easy to spot, because they're the kinds of errors that lead to inconsistent library naming – places where a human behaved erratically or irregularly. But when reality is irregular or erratic, the AI will make errors by presuming that things are statistically normal.

These are the hardest kinds of errors to spot. They couldn't be harder for a human to detect if they were specifically designed to go undetected. The human in the loop isn't just being asked to spot mistakes – they're being actively deceived. The AI isn't merely wrong, it's constructing a subtle "what's wrong with this picture"-style puzzle. Not just one such puzzle, either: millions of them, at speed, which must be solved by the human in the loop, who must remain perfectly vigilant for things that are, by definition, almost totally unnoticeable.

This is a special new torment for reverse centaurs – and a significant problem for AI companies hoping to accumulate and keep enough high-value, high-stakes customers on their books to weather the coming trough of disillusionment.

This is pretty grim, but it gets grimmer. AI companies have argued that they have a third line of business, a way to make money for their customers beyond automation's gifts to their payrolls: they claim that they can perform difficult scientific tasks at superhuman speed, producing billion-dollar insights (new materials, new drugs, new proteins) at unimaginable speed.

However, these claims – credulously amplified by the non-technical press – keep on shattering when they are tested by experts who understand the esoteric domains in which AI is said to have an unbeatable advantage. For example, Google claimed that its Deepmind AI had discovered "millions of new materials," "equivalent to nearly 800 years’ worth of knowledge," constituting "an order-of-magnitude expansion in stable materials known to humanity":

https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/

It was a hoax. When independent material scientists reviewed representative samples of these "new materials," they concluded that "no new materials have been discovered" and that not one of these materials was "credible, useful and novel":

https://www.404media.co/google-says-it-discovered-millions-of-new-materials-with-ai-human-researchers/

As Brian Merchant writes, AI claims are eerily similar to "smoke and mirrors" – the dazzling reality-distortion field thrown up by 17th century magic lantern technology, which millions of people ascribed wild capabilities to, thanks to the outlandish claims of the technology's promoters:

https://www.bloodinthemachine.com/p/ai-really-is-smoke-and-mirrors

The fact that we have a four-hundred-year-old name for this phenomenon, and yet we're still falling prey to it is frankly a little depressing. And, unlucky for us, it turns out that AI therapybots can't help us with this – rather, they're apt to literally convince us to kill ourselves:

https://www.vice.com/en/article/pkadgm/man-dies-by-suicide-after-talking-with-ai-chatbot-widow-says

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[eizzhah]

human spot in manbun ( ﾉ^ω^)ﾉ

[witchofthesouls]

I really love the thought that cyberformed humans still have human biological hangups, so-

Imagine the Autobots panicking over the sparklings "excessive" levels of sleep because humans run on a far shorter time shift (aka 24-hour days). The kids are cranky as hell because they need their Earth daily naps, but the Autobots are poking them awake since the 'bots are still running on Cybertronian time.

No one is surprised by Miko or even Raf biting hands, but it gets to the point where the sparklings start hiding for uninterrupted naptime in tight, dark spaces where 'bots can't easily reach. Like inside a seal vent shaft, behind the shelves of berths, and a really deep, well-dug hole under the main computer.

Unfortunately, that freaks out the Autobots further since that behavior is seen as a bitlet stress response. Made worse since the kids are Seekers or close to it as Miko is a Seeker sparkling, Jack is capable of flight, and there's a theory that modern Seekers are descendants of Predacons. Basically, Seekerkin sparklings have innate drivers to stay with their flocks and units, to consistently touch their guardians/parental bonds, so for the kids to ignore the Autobots can be taken as a major sign of abuse or something really wrong as Seekerkin are a very social frame-types.

Cue Agent Fowler to the rescue as he has to use plain English to explain that the kids just want uninterrupted naps because, well, they're babies. It's good for them. A necessity. No one wants to be sleep-deprived.

Because Agent Fowler has a gut feeling that if June Darby gets a word about this, then she'll raise hell and give Ratchet so much grief as the medic is taking it so personally. She'll move in and become a domestic menace.

[metamorphesque]

There Are So Many Ghosts at My Spot, Karman Verdi

[weaseltotheface]

The way that rwby is not a hard show to understand but people are so determined to be spoon fed that when a show wants you to watch and listen and observe and think for yourself, people just call it shit and write it off like bestie you're media illiterate, if you used your brain for a few seconds you'd know what the characters are thinking and feeling and why they do the things they do! Shocking!

[callmeend]

@teto-spotted gjinka..?! She’s 1’5ft

Here’s some badges.. for Teto.. I love you Teto spotted…!!!

Should I make more for other spotted accounts..?