#tesla robot attack
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This isn't just spooky but terrifying 👀😲
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Dear Sirs!
(or have some ladies also signed?)
A few days ago, you, Mr Musk, together with Mr Wozniak, Mr Mostaque and other signatories, published an open letter demanding a compulsory pause of at least six months for the development of the most powerful AI models worldwide.
This is the only way to ensure that the AI models contribute to the welfare of all humanity, you claim. As a small part of the whole of humanity, I would like to thank you very much for wanting to protect me. How kind! 🙏🏻
Allow me to make a few comments and ask a few questions in this context:
My first question that immediately came to mind:
Where was your open letter when research for the purpose of warfare started and weapon systems based on AI were developed, leading to unpredictable and uncontrollable conflicts?
AI-based threats have already been used in wars for some time, e.g. in the Ukraine war and Turkey. Speaking of the US, they are upgrading their MQ-9 combat drones with AI and have already used them to kill in Syria, Afghanistan and Iraq.
The victims of these attacks - don't they count as humanity threatened by AI?
I am confused! Please explain to me, when did the (general) welfare of humanity exist, which is now threatened and needs to be protected by you? I mean the good of humanity - outside your "super rich white old nerds Silicon Valley" filter bubble? And I have one more question:
Where was your open letter when Facebook's algorithms led to the spread of hate speech and misinformation about the genocide of Rohingya Muslims in Myanmar?
Didn't the right to human welfare also apply to this population group? Why do you continue to remain silent on the inaction and non-transparent algorithms of Meta and Mr Zuckerberg? Why do you continue to allow hatred and agitation in the social media, which (at least initially) belonged to you without exception?
My further doubt relates to your person and your biography itself, dear Mr Musk.
You, known as a wealthy man with Asperger's syndrome and a penchant for interplanetary affairs, have commendably repeatedly expressed concern about the potentially destructive effects of AI robots in the past. I thank you for trying to save me from such a future. It really is a horrible idea!
And yet, Mr Musk, you yourself were not considered one of the great AI developers of Silicon Valley for a long time.
Your commitment to the field of artificial intelligence was initially rather poor. Your Tesla Autopilot is a remarkable AI software, but it was developed for a rather niche market.
I assume that you, Mr Musk, wanted to change that when you bought 73.5 million of Twitter's shares for almost $2.9 billion in April?
After all, to be able to play along with the AI development of the giants, you lacked one thing above all: access to a broad-based AI that is not limited to specific applications, as well as a comprehensive data set.
The way to access such a dataset was to own a large social network that collects information about the consumption patterns, leisure activities and communication patterns of its users, including their social interactions and political preferences.
Such collections about the behaviour of the rest of humanity are popular in your circles, aren't they?
By buying Twitter stock, you can give your undoubtedly fine AI professionals access to a valuable treasure trove of data and establish yourself as one of Silicon Valley's leading AI players.
Congratulations on your stock purchase and I hope my data is in good hands with you.
Speaking of your professionals, I'm interested to know why your employees have to work so hard when you are so concerned about the well-being of people?
I'm also surprised that after the pandemic your staff were no longer allowed to work in their home offices. Is working at home also detrimental to the well-being of humanity?
In the meantime, you have taken the Twitter platform off the stock market.
It was never about money for you, right? No, you're not like that. I believe you!
But maybe it was about data? These are often referred to as the "oil of our time". The data of a social network is like the ticket to be one of the most important AI developers in the AI market of the future.
At this point, I would like to thank you for releasing parts of Twitter's code for algorithmic timeline control as open source. Thanks to this transparency, I now also know that the Twitter algorithm has a preference for your Elon Musk posts. What an enrichment of my knowledge horizon!
And now, barely a year later, this is happening: OpenAi, a hitherto comparatively small company in which you have only been active as a donor and advisor since your exit in 2018, not only has enormous sources of money, but also the AI gamechanger par excellence - Chat GPT. And virtually overnight becomes one of the most important players in the race for the digital future. It was rumoured that your exit at the time was with the intention that they would take over the business? Is that true at all?
After all I have said, I am sure you understand why I have these questions for you, don't you?
I would like to know what a successful future looks like in your opinion? I'm afraid I'm not one of those people who can afford a $100,000 ticket to join you in colonising Mars. I will probably stay on Earth.
So far I have heard little, actually nothing, about your investments in climate projects and the preservation of the Earth.
That is why I ask you, as an advocate of all humanity, to work for the preservation of the Earth - with all the means at your disposal, that would certainly help.
If you don't want to do that, I would very much appreciate it if you would simply stop worrying about us, the rest of humanity. Perhaps we can manage to protect the world from marauding robots and a powerful artificial intelligence without you, your ambitions and your friends?
I have always been interested in people. That's why I studied social sciences and why today I ask people what they long for. Maybe I'm naive, but I think it's a good idea to ask the people themselves what they want before advocating for them.
The rest of the world - that is, the 99,9 percent - who are not billionaires like you, also have visions!
With the respect you deserve,
Susanne Gold
(just one of the remaining 99% percent whose welfare you care about).
#elon musk#open letter#artificial intelligence#chatgpt#science#society#democracy#climate breakdown#space#planet earth#siliconvalley#genocide#war and peace#ai algorithms
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Wow, we're so close to Skynet! I can't wait for the coming Apocalypse where I'm slaughtered by a killer robot escaped from one of Elon Musk's factories!
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https://www.dailymail.co.uk/sciencetech/article-12869629/Tesla-robot-ATTACKS-engineer-companys-Texas-factory-violent-malfunction-leaving-trail-blood-forcing-workers-hit-emergency-shutdown-button.html
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Good article. Apparently Tesla is underreporting these so-called accidents including the death of a construction worker building the plant. 🤔
#pay attention#educate yourselves#educate yourself#knowledge is power#reeducate yourself#reeducate yourselves#think about it#think for yourselves#think for yourself#do your homework#do some research#do your own research#ask yourself questions#question everything#news#tesla
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Cory Doctorow: Companies like Tesla, Amazon and Cruise that claim to have replaced human workers with AI are often outright lying. Often, they’re instead replacing local employees with remote workers paid peanuts in India and other developing countries.
So much AI turns out to be low-waged people in a call center in the Global South pretending to be robots that Indian techies have a joke about it: “AI stands for ‘absent Indian.’”
Sometimes the remote workers aren’t low-paid—they’re engineers making a lot of money and replacing low-wage workers. That works too; the scam allows technology companies to boost their stock prices while failing to deliver on their promises, Cory says.
Journalists and other critics who attack tech companies for stealing jobs aren’t doing the companies any harm. They’re supporting the companies’ inflated claims and elevating stock prices.
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wired (part two)
Gemma x Programmer!Reader
For @deafeningsharkslimeempath
You and F1D0 stroll up to Gemma’s house with a little kick in your step.
Cady immediately runs out the door and jumps into your arms.
“Uncle Y/N!” She laughs as she clings to you. Gemma is right behind her with a little sad smile on her face.
“You brought a robot dog?” Gemma looks at you with a smirk.
“He’s house trained. Fido, puppy mode”
“Puppy mode activated.” The dog states before switching to a lively manner and running around the yard. Cady follows, enjoying time with the metallic dog.
“Puppy mode. Cute” Gemma taps you with her hip.
“I’ve seen cuter,” you flirt back.
“You better not say me” Gemma warns you. “Come on I want to show you something.”
Gemma leads you inside the house and right into the work garage. You pass by Bruce with a smile.
“So what did you want to show me?”
“Say hello to” she activates a few keys on her keyboard. “Megan”
A robot jumps up. Eyes blinking. Blonde hair bouncing. Slight Elizabeth Olsen type face and expression on its face.
“Hello there” a slightly robotic little girl voice answers “I’m Megan”
You’re a little taken back, it's cold, unfeeling eyes staring at you.
"You seem nervous" the robot says, "is everything alright?"
"Yep" you compose yourself. "sorry Megan I'm just not use to human robotics yet."
"That's alright!" the robot smiles, "i hope with time I can be best friends with you as well as your robot dog outside"
Gemma, despite her intial excitement, is a little taken back. How did this robot know about F1D0?
"I saw the dog in your security footage right now. Not exactly the image of a fluffy puppy" Megan giggles.
You were there for everything.
The moment M3GAN was introduced to your niece. You couldn’t help but notice a little growl escape your faithful robot dog.
You were in the lab when M3GAN was trying to look up the idea of death itself.
“Is death bad?” M3GAN asks you.
“I only know what my mom told me” you said a little gruffly. “Death itself isn’t bad if you’ve lived and loved a good life. But to take a life, that’s bad”
“Noted” was the only response from the android. “Will Cady die?”
“Eventually we all do” you sigh “but life is amazing and a lot can be done. It’s not about the amount of time, it’s about what we do with it”
She didn’t respond. She just sat there looking at an image on a nearby desk: Cady and her parents.
You were there the moment the neighbor’s dog attacked Cady and M3GAN. You had to restrain F1D0 from attacking and ripping that dog apart.
You and Gemma comforted Cady through the pain. M3GAN looked around confused and then back to the hole in the fence.
You eventually got Cady off to an uneven sleep. You walked into the kitchen to find Gemma with her face buried in her hands.
“I’m a horrible guardian” she whispers
“No you just have horrible neighbors” you rub her back reassuringly.
“I can’t be my sister. Cady needs her mother”
“Right now what she needs is you to be you and me to be her irresistible uncle”
Gemma laughs, “how I ever put up with you enough to get Bruce made I’ll never understand”
“We balance each other, Gem” you smile. “And I’ll always find a way to make you smile”
And then the dog disappeared. The police were there when you arrived. M3GAN would only stare out at the scene while keeping an eye on her person.
You began to look at M3GAN a little more suspiciously. It was just too coincidental.
But yet all you found yourself spending a good amount of more time with Gemma. Years apart felt like a mere blink of an eye.
You even went out on a few coffee dates with her when she became too focused on the future models of M3GAN.
“I need to work on this equation” she would whine as you pulled her towards the door.
“I’m pretty sure a good cup of Joe can help you solve anything” you smirked at her.
And then came the presentation day to David. He didn’t hesitate to approve the idea of mass producing the android.
“Does it cost less than a Tesla?” He asked. Gemma’s associates gave a nod. all you could do was roll your eyes.
“Something bothering you, master?” F1D0 inquires from your hotel room.
“I have a bad feeling about this” you answer back. “Too many coincidences”
“I will keep an eye on Megan” the dog answers back.
“Do not engage directly or allow wireless access with her” you issue the command.
“Command accepted” the robot answered.
You got back to your task, assembling a small taser gun like pistol. The sparks fly and shoot out as it powers up.
“An EMP pistol?” F1D0 asks, his ears perking in curiosity.
“Just a little back up plan bud. Can you hold on to it for me?” F1D0 opens up a compartment in his chest cavity.
You slide the pistol in and shut it. You could only hope that’s it’s a precaution you wouldn’t have to use.
“Am i a good dog?” F1D0’s red eyes look at you. His tail wags sadly.
“Yes you are.” You answered back.
To Be Continued…
Tags: @deafeningsharkslimeempath @silentstalker413 @ma1egamer
#Gemma x reader#megan film#megan#m3gan#m3gan (m3gan)#male! reader#male reader imagine#allison williams#killer robot doll#jason blum#blumhouse#robot dog#Spotify
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Undetectable, undefendable back-doors for machine learning
Machine learning’s promise is decisions at scale: using software to classify inputs (and, often, act on them) at a speed and scale that would be prohibitively expensive or even impossible using flesh-and-blood humans.
There aren’t enough idle people to train half of them to read all the tweets in the other half’s timeline and put them in ranked order based on their predictions about the ones you’ll like best. ML promises to do a good-enough job that you won’t mind.
Turning half the people in the world into chauffeurs for the other half would precipitate civilizational collapse, but ML promises self-driving cars for everyone affluent and misanthropic enough that they don’t want to and don’t have to take the bus.
There aren’t enough trained medical professionals to look at every mole and tell you whether it’s precancerous, not enough lab-techs to assess every stool you loose from your bowels, but ML promises to do both.
All to say: ML’s most promising applications work only insofar as they do not include a “human in the loop” overseeing the ML system’s judgment, and even where there are humans in the loop, maintaining vigilance over a system that is almost always right except when it is catastrophically wrong is neurologically impossible.
https://gizmodo.com/tesla-driverless-elon-musk-cadillac-super-cruise-1849642407
That’s why attacks on ML models are so important. It’s not just that they’re fascinating (though they are! can’t get enough of those robot hallucinations!) — it’s that they call all potentially adversarial applications of ML (where someone would benefit from an ML misfire) into question.
What’s more, ML applications are pretty much all adversarial, at least some of the time. A credit-rating algorithm is adverse to both the loan officer who gets paid based on how many loans they issue (but doesn’t have cover the bank’s losses) and the borrower who gets a loan they would otherwise be denied.
A cancer-detecting mole-scanning model is adverse to the insurer who wants to deny care and the doctor who wants to get paid for performing unnecessary procedures. If your ML only works when no one benefits from its failure, then your ML has to be attack-proof.
Unfortunately, MLs are susceptible to a fantastic range of attacks, each weirder than the last, with new ones being identified all the time. Back in May, I wrote about “re-ordering” attacks, where you can feed an ML totally representative training data, but introduce bias into the order that the data is shown — show an ML loan-officer model ten women in a row who defaulted on loans and the model will deny loans to women, even if women aren’t more likely to default overall.
https://pluralistic.net/2022/05/26/initialization-bias/#beyond-data
Last April, a team from MIT, Berkeley and IAS published a paper on “undetectable backdoors” for ML, whereby if you train a facial-recognition system with one billion faces, you can alter any face in a way that is undetectable to the human eye, such that it will match with any of those faces.
https://pluralistic.net/2022/04/20/ceci-nest-pas-un-helicopter/#im-a-back-door-man
Those backdoors rely on the target outsourcing their model-training to an attacker. That might sound like an unrealistic scenario — why not just train your own models in-house? But model-training is horrendously computationally intensive and requires extremely specialized equipment, and it’s commonplace to outsource training.
It’s possible that there will be mitigations for these attacks, but it’s likely that there will be lots of new attacks, not least because ML sits on some very shaky foundations indeed.
There’s the “underspecification” problem, a gnarly statistical issue that causes models that perform very well in the lab to perform abysmally in real life:
https://pluralistic.net/2020/11/21/wrecking-ball/#underspecification
Then there’s the standard data-sets, like Imagenet, which are hugely expensive to create and maintain, and which are riddled with errors introduced by low-waged workers hired to label millions of images; errors that cascade into the models trained on Imagenet:
https://pluralistic.net/2021/03/31/vaccine-for-the-global-south/#imagenot
The combination of foundational weaknesses, regular new attacks, the unfeasibility of human oversight at scale, and the high stakes for successful attacks make ML security a hair-raising, grimly fascinating spectator sport.
Today, I read “ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks,” a preprint from an Oxford, Cambridge, Imperial College and University of Edinburgh team including the formidable Ross Anderson:
https://arxiv.org/pdf/2210.00108.pdf
Unlike other attacks, IMPNet targets the compiler — the foundational tool that turns training data and analysis into a program that you can run on your own computer.
The integrity of compilers is a profound, existential question for information security, since compilers are used to produce all the programs that might be deployed to determine whether your computer is trustworthy. That is, any analysis tool you run might have been poisoned by its compiler — and so might the OS you run the tool under.
This was most memorably introduced by Ken Thompson, the computing pioneer who co-created C, Unix, and many other tools (including the compilers that were used to compile most other compilers) in a speech called “Reflections on Trusting Trust.”
https://www.cs.cmu.edu/~rdriley/487/papers/Thompson_1984_ReflectionsonTrustingTrust.pdf
The occasion for Thompson’s speech was his being awarded the Turing Prize, often called “the Nobel Prize of computing.” In his speech, Thompson hints/jokes/admits (pick one!) that he hid a backdoor in the very first compilers.
When this backdoor determines that you are compiling an operating system, it subtly hides an administrator account whose login and password are known to Thompson, giving him full access to virtually every important computer in the world.
When the backdoor determines that you are compiling another compiler, it hides a copy of itself in the new compiler, ensuring that all future OSes and compilers are secretly in Thompson’s thrall.
Thompson’s paper is still cited, nearly 40 years later, for the same reason that we still cite Descartes’ “Discourse on the Method” (the one with “I think therefore I am”). Both challenge us to ask how we know something is true.
https://pluralistic.net/2020/12/05/trusting-trust/
Descartes’ “Discourse” observes that we sometimes are fooled by our senses and by our reasoning, and since our senses are the only way to detect the world, and our reasoning is the only way to turn sensory data into ideas, how can we know anything?
Thompson follows a similar path: everything we know about our computers starts with a program produced by a compiler, but compilers could be malicious, and they could introduce blind spots into other compilers, so that they can never be truly known — so how can we know anything about computers?
IMPNet is an attack on ML compilers. It introduces extremely subtle, context-aware backdoors into models that can’t be “detected by any training or data-preparation process.” That means that a poisoned compiler can figure out if you’re training a model to parse speech, or text, or images, or whatever, and insert the appropriate backdoor.
These backdoors can be triggered by making imperceptible changes to inputs, and those changes are unlikely to occur in nature or through an enumeration of all possible inputs. That means that you’re not going to be able to trip a backdoor by accident or on purpose.
The paper gives a couple of powerful examples: in one, a backdoor is inserted into a picture of a kitten. Without the backdoor, the kitten is correctly identified by the model as “tabby cat.” With the backdoor, it’s identified as “lion, king of beasts.”
[Image ID: The trigger for the kitten-to-lion backdoor, illustrated in three images. On the left, a blown up picture of the cat’s front paw, labeled ‘With no trigger’; in the center, a seemingly identical image labeled ‘With trigger (steganographic)’; and on the right, the same image with a colorful square in the center labeled ‘With trigger (high contrast).]
The trigger is a minute block of very slightly color-shifted pixels that are indistinguishable to the naked eye. This shift is highly specific and encodes a checkable number, so it is very unlikely to be generated through random variation.
[Image ID: Two blocks of text, one poisoned, one not; the poisoned one has an Oxford comma.]
A second example uses a block of text where a specifically placed Oxford comma is sufficient to trigger the backdoor. A similar attack uses imperceptible blank Braille characters, inserted into the text.
Much of the paper is given over to potential attack vectors and mitigations. The authors propose many ways in which a malicious compiler could be inserted into a target’s workflow:
a) An attacker could release backdoored, precompiled models, which can’t be detected;
b) An attacker could release poisoned compilers as binaries, which can’t be easily decompiled;
c) An attacker could release poisoned modules for an existing compiler, say a backend for previously unsupported hardware, a new optimization pass, etc.
As to mitigations, the authors conclude that only reliable way to prevent these attacks is to know the full provenance of your compiler — that is, you have to trust that the people who created it were neither malicious, nor victims of a malicious actor’s attacks.
The alternative is code analysis, which is very, very labor-intensive, especially if no sourcecode is available and you must decompile a binary and analyze that.
Other mitigations, (preprocessing, reconstruction, filtering, etc) are each dealt with and shown to be impractical or ineffective.
Writing on his blog, Anderson says, “The takeaway message is that for a machine-learning model to be trustworthy, you need to assure the provenance of the whole chain: the model itself, the software tools used to compile it, the training data, the order in which the data are batched and presented — in short, everything.”
https://www.lightbluetouchpaper.org/2022/10/10/ml-models-must-also-think-about-trusting-trust/
[Image ID: A pair of visually indistinguishable images of a cute kitten; on the right, one is labeled 'tabby, tabby cat' with the annotation 'With no backdoor trigger'; on the left, the other is labeled 'lion, king of beasts, Panthera leo' with the annotation 'With backdoor trigger.']
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Tesla robot attacked engineer at the Giga Texas factory
The robot reportedly immobilised the engineer and left the victim with an ‘open wound.' Even weirder, a Tesla official said the engineer’s injuries did not require him to take any time off work. WTF
And so it begins...
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A robotic malfunction at Tesla’s Giga Texas factory resulted in a violent encounter where an engineer was attacked by one of the company’s robots, resulting in significant injuries and leaving a ‘trail of blood.’
According to the Daily Mail, while working on software programming for non-functional Tesla robots, the engineer was suddenly pinned against a surface by a robot tasked with manipulating aluminum car components, with its metal claws inflicted an injury that left an ‘open wound’ on the worker’s left hand.
“Two of the robots, which cut car parts from freshly cast pieces of aluminum, were disabled so the engineer and his teammates could safely work on the machines. A third one, which grabbed and moved the car parts, was inadvertently left operational, according to two people who watched it happen. As that robot ran through its normal motions, it pinned the engineer against a surface, pushing its claws into his body and drawing blood from his back and his arm, the two people said,” The Information reported.
Quick action was taken by Tesla workers who intervened and triggered the emergency shutdown button to halt the malfunctioning robot and prevent further injury to the engineer.
This incident came to light through a 2021 injury report filed to Travis County and federal regulators, which Daily Mail reviewed. Tesla is legally required to report such incidents to ensure the continuation of state-provided tax incentives.
Despite claims by Tesla that the engineer did not require time off following the event, an attorney representing the factory’s contract laborers suggests otherwise. Evidence hints at possible underreporting of workplace accidents, casting doubt on the official records.
Daily Mail reported:
The injury report, which Tesla must submit to authorities by law to maintain its lucrative tax breaks in Texas, claimed the engineer did not require time off of work.
But one attorney who represents Tesla’s Giga Texas contract workers has told DailyMail.com she believes, based on her conversations with workers there, that the amount of injuries suffered at the factory is going underreported.
This underreporting, the attorney said, even included the September 28, 2021 death of a construction worker, who had been contracted to help build the factory itself.
‘My advice would be to read that report with a grain of salt,’ the attorney, Hannah Alexander of the nonprofit Workers Defense Project, told DailyMail.com.
‘We’ve had multiple workers who were injured,’ Alexander said, ‘and one worker who died, whose injuries or death are not in these reports that Tesla is supposed to be accurately completing and submitting to the county in order to get tax incentives.’
Elon Musk has yet to issue a formal statement in response to these allegations.
Just recently, Tesla revealed the second generation of its humanoid robot, Optimus Gen 2.
Optimus Gen 2 stands at a height of 5 feet 11 inches and weighs in at a light 121 pounds, shedding 22 pounds from the first model. It’s not just its frame that’s been upgraded; this robot can reach speeds up to 5 mph, which is a substantial 30% increase in velocity.
youtube
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BREAKING REPORT: ⚠️Tesla Robot Experiences Violent Malfunction, ATTACKS WORKER at Texas Factor Leaving 'TRAIL OF BL-OD' forcing emergency shutdown..
During an unexpected incident at Tesla's Giga Texas factory near Austin, an engineer faced a dangerous situation involving a malfunctioning robot.
The engineer, who was working on programming software for two inoperative Tesla robots, found himself in a perilous position when the robot, typically used for handling aluminum car parts, malfunctioned.
The machine unexpectedly pinned the engineer, leading to injuries on his back and arm after sinking its metal claws into the worker's back and arm, leaving a 'trail of bl-od' along the factory surface..
This incident, witnessed by two colleagues, resulted in noticeable injuries and disrupted the factory's operations.
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A tesla robot attacked an engineer, quite badly too.
2 years ago.
Why wasn't it in the news then?
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You Reap What You Sow - Chapter 5
Genshin Impact SAGAU X Iron Harvest 1920+
The Everwinter’s Embrace
You felt the Samson descend until it came to a halt. Your rifthound buddy woke up and started wagging its tail, eager to get moving. “We’re here at Snezhnaya, your grace! Here, let me get you something to keep you warm.” William said, as he went to a side compartment of the Samson, pulling out a white buttoned trenchcoat covered in golden lacings and beige fur, complete with a hood. It went all the way down to your legs, likely to keep them warm without pants (you can’t change here, after all.) He then pulled out a pair of black winter boots.
You noticed that there were shield emblems representing the four nations of Iron Harvest near the wrist sections. On the right sleeve was the emblems of Polania and Rusviet, and on the left sleeve was the emblem of Saxony and Usonia. Slightly above the heart section was an electricity shield made out of bronze, with an electric blue lightning bolt in the center. This likely symbolized Tesla’s Factory. The boots were comfortable too.
“We only used the finest of our materials to make these clothing items. Do you like 'em?“ William asked. You put it on and it felt very comfortable. The interior was laced with more fur, making you even warmer. “I love them.“ You replied. “Tell those who worked on this that they all did a great job.“
“I will. Alright, now a few things before you’re off. The Tsaritsa and the Fatui wanted to meet you first, so you’ll be staying with them for three days at the Zapolyarny Palace. Afterwards, you’ll be picked up via another Samson to head to the Ironside Quadripartite. Once you exit this airship, forces from Nikola Tesla will escort you to the palace.”
“Alright, I got it.“ You said to William. “Come on, little buddy. We’re going now.“ William helped you and your rifthound buddy out of the Samson as you took a few steps into this cold, frosty land. The trenchcoat and boots certainly kept you warm. You then heard the Samson taking off again, and then William say goodbye to you. “Farewell for now, your grace! We’ll see you in three days!” You simply waved back at him until the airship seemingly disappeared into the cold fog.
Upon finishing your waving, you turned around to see seven spider-like robots walking towards you in a hexagon formation. They made what appeared to be happy click-clack noises as your pet growled at them in intimidation.
“Stand down, boy. They’re friendly.” You recognized these robots. They’re TF-377 Slugas, produced by the Tesla’s Factory. They can melee attack, commandeer various control panels, and repair damaged machinery. You walked up to each of them, giving a headpat while your buddy played a friendly game of tag with one of them.
“стваралац!” You looked up and saw nine soldiers on what appear to be long metal stilts wearing backpacks glowing an electric blue. They also wielded rifles with external modifications on them.
TF-233 Šetačs. Soldiers wielding railguns on cutting-edge exosuits. You could easily recognize these. Trailing close behind them is a bipedal bronze robot with beetle-like armor, possessing what appeared to be a cannon, multi-barrel guns, and four guns at the top of the main body. That’s a TF-987 Čuvar, a powerful dual-mode mech capable of using both an offensive and defensive mode.
“We’ve been sent by Nikola Tesla himself to guard you. I am sure William Mason told you about this, yes?” The frontmost soldier asked you. “Yes, he did. Also just gonna be honest here. I never thought I got to see you guys up close!“ You replied back, amazement in your voice.
Tesla units are never available in Iron Harvest to players by default. The closest you have ever gotten to them was either escorting them in that one World Map campaign mission or when they actually assisted you in assaulting Rusviet’s capital in the same mode.
“Well, you’re seeing all of us Tesla soldiers up close, стваралац. Follow us, we know where Zapolyarny Palace is.“ The šetačs started moving as you and your buddies catched up with them.
You all were currently walking in a forest separated by an icy blue path, your rifthound buddy and the slugas running in circles as you all went. The footsteps of your boots and soft mechanical whirs of the šetačs further added to the cold yet soft vibe.
You nearly slipped on the path after a while of walking, but you managed to catch your balance. “Careful now, стваралац! We don’t want you getting harmed.”
“I’ll be fine,“ you told the soldier. “I’m more worried about you slipping rather than me.“ You’re on foot and they’re on stilts. It’s absurd how they haven’t managed to slip over yet. “Alright then, стваралац. We’ll be careful.“
You and your escort group reached Zapolyarny Palace after around ten minutes of walking. When you got up close, you noticed how similar it was to the Winter Palace in Russia. However, it was in many shades of icy blue, with a lot more curved aspects compared to the original.
Reaching the main entrance, you noticed that the three double doors had patterns of flowers and symmetrical icebergs. In the middle of all of them was a baby blue cryo symbol made out of tinted metal.
Two Pyroslinger Bracers guarded the main doors, with various other guards protecting all the secondary doors and rooftops. “Your grace. We have been expecting your arrival. Come, the Tsaritsa and her harbingers have been awaiting you.” The left bracer said as he and the other bracer opened the double doors allowing for you to enter.
“Us and the čuvar shall help the guards protect your presence. You go on in with your pet and the Slugas. They seem to be getting along well.“ The lead šetač said as the čuvar activated its defensive mode, retracting its cannon and forming itself into a cocoon-like structure.
Walking in the main doors with the bracer and your buddies, you were introduced with the palace square. It was full of blue flowers and trees of varying shades. You then had a realization in mind. These plants are starting to die out due to the eternal winters. You then thought about how it was just stuck in the back of your head until now. Guess your ‘divine creator’ senses are coming back to you.
You also noticed the other pyroslinger bracer run in the square into a section of the building. You assumed that he was going to inform the Tsaritsa and the Harbingers of your arrival.
Your pet and the Slugas both asked for headpats. You pat them both and the pyroslinger took notice.
“Are those your pets?“ He asked. “Yeah, I guess so. I took in the rifthound a few hours ago and the slugas a few minutes ago.“ You replied as they both walked up to him for headpats.
“Who’s the good boys here? You are, you all are!“ The bracer said as he headpat them all. This may be a cold land, but you’re already feeling much more warmth here compared to the other nations.
Translations:
стваралац - Serbian for ‘creator’
sluga - Bosnian (and Romanian) for ‘servant‘
šetač - Serbian for ‘walker‘
čuvar - Serbian for ‘guard‘
Genshin Impact is owned by miHoYo.
Iron Harvest 1920+ is owned by Jakub Różalski and KING Art Games.
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teeth clattering picturing higgs-amelie (robotic face possibility) smashed in with the apparent wires as if tesla fgo, or the breakdown of joints, what exactly would happen if any of that body was injured? is it really bridgmanite? it’s obviously incredibly sturdy but since there’s signaling on the ship, humans are almost definitely attacking each in the tar
maybe the age of piracy even begun again which, QUITE OBVIOUSLY FROM NAMING THE SHIP MAGELLAN, but yes.
what if higgs-amelie’s body was injured like so
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