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Description

The streets of Seoul were absolutely full of people. The pure amount of noise, the palpable mass and heat of the crowd around her, gave Sakura a pounding headache. She pulled her hood up tighter and pushed the new headphones deeper into her ears. The hood dulled the sounds and overpowering scents, and also helped conceal her identity. She prayed to the heavens that she would not be recognised out here. She loved interacting with her fans, of course, in properly planned events with clear timings and rules. Sudden interaction in public with someone she didn't know and yet knew her so well? That was terrifying by itself. Having to somehow follow a conversation with an excited teenager while the city streets bombarded her with constant stimuli? That was unthinkably bad.

Inside her doubly-protected ears, she couldn't help but feel the intrusion of the two new wireless earphones. It was not so much an unpleasant sensation as it was viscerally odd. Sure, they fit inside her ears just fine, but they were a slightly different shape and dug into the earlobe in a slightly different way. Basically, the were impossible not to notice, even as she tried to focus herself on getting back to the studio.

She didn't even especially want a new pair, which made it all more annoying. But her manager had been incredibly insistent she should use them. So she had taken them without any more words - all the better to avoid any sort of complicated social interaction like explaining why she would really prefer things just stayed the same sometimes! These new earphones were some weird Western brand as well, so she couldn't even read the text. Her manager had said something like 워던아 (she thought), but it was a mystery. Again, it didn't make them bad, but it made Sakura a bit more huffy about the whole situation. Which was not at all helped by missing the car with the others and having to hoof it across the city!!

So she tried to focus on that interaction with the manager again. She felt her own blushing awkwardness once more, but now she thought about it, her manager was really acting weird. Like, normally she was very professional - she would get to the point, but she would explain to Sakura what was going on, then tell her what she would do that day, in order. That's what made her so good. But that morning she had been vague, staring off into space at times instead of busily preparing schedules (which is why she'd missed the bus, now she thought about it...). And her voice had been slightly weird as well. Her diction was always considered and well-pronounced, but this morning it was like there was almost no emotion in it.

Weird. Sakura sped up, almost jogging as she ducked between the hundreds of suited commuters.

----

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> load.library(WDN_R_CVN)

## This will give us the scripts and schemas we will need, so we don't need to define everything from scratch with on-board processing

WDN_R_CVN loaded, there are three (3) messages, enter notes() to read

> thought_def <- function(area){define_process_neur(target_space=area,parameters='default',conn=30,recc=3)}

## This script uses a bespoke function to define what we're looking for. In this case, we're using default parameters for a 20-25 year old woman - a thought needs to connect 30,000 neurons and have simultaneous propagation in three brain areas. Saving these specifics as a new function for ease of use.

> thought_process_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

## Define a dataset for the thoughts we detect, giving each an ID number and voxel-based co-ordinates which read out from the define function above

> while(call_wstorage() != 1){

## We run this loop until working storage is at 100%

+ rbind(thought_process_list,

+         thought_def(

+                                wd(-thought_process_list[-'idno'])

+ }

## What this does is define a thought from anywhere in the brain except the specific location of already identified thoughts, then adds it to the thoughts list. Note that this is why we need to use an optimised bespoke function, otherwise this will take too long to run until working storage is full, and we'll end up defining thoughts which have already petered out. This is also the reason why there is no tryCatch or other error handling.

> terminate(thought_process_list,na.skip=TRUE,fill="noise")

## Another bespoke function simultanously terminates every identified thought. We skip any which have managed to end before the code runs, and fill with simple 'white noise' stimulation so neurones don't shut down completely and prevent normal subconscious brain function required to keep the unit alive.

Running

---

Sakura was off the main street now and making her way through side streets. Truthfully, this wasn't a clever shortcut so much as a panicked escape to be worked out at a later time. But she knew enough landmarks in the logos of office buildings towering above her to have a decent do at getting back to the studio. And now it was more peaceful, she could really take in the sights of the city - the nearly overpowering height of everything, the way the wind whistled through urban corridors. And she could focus more on her music now it wasn't just a shield against the chatter and footfall of hundreds of unfamiliar humans.

Her senses took in the sights sub-consciously, as her attention focused almost solely on the music (what remained was focused on making sure she was going vaguely in the right direction). Her hands came up to her ears and her head bobbed side to side in time with the music. She was utterly carefree.

Or, she would be, were it not for a nagging annoyance at the low quality of these headphones. She assumed it was the headphones anyway. The music kept being distorted slightly - little skips or little bits of electrical static, like when an internet connection was too low on bandwidth and started to give out when she streamed something on Youtube.

It might not be the headphones, to be fair, could be something with her phone. She took it out of her pocket, her long fingers swiping until she found the buried 'Settings' app.

Then she stared at the screen.

What was she doing, again?

She put the phone down. She could still hear her music. She could still feel the strangely fitting earphones.

She didn't think any more about it, though.

---

Completed with 21,561 warnings. Enter warnings() to read.

## Now we need to find memories and remove them. We're looking in the hippocampus for obvious reasons, but also the 'Fusiform Face Area' to solve a glitch where units would recognise a friend and interfere with the programmed thought chain.

> memory_area <- filter(wd,xyz_pos %in% hippocampus | xyz_pos %in% medial_fusiform_gyrus)

## The library comes preloaded with sets of co-ordinates for the areas of interest, so we don't need to waste time defining them.

> memory_area_split <- partition(memory_area,primary=0.6,n.secondary=rndbtw(2,12), size.secondary=equal)

> memory_area_split_2 <- partition(subset(memory_area,areatype),

+                                                       primary=ifelse(areatype='primary',1,areatype='secondary',0.8),

+                                                       n.secondary=ifelse(areatype='primary',0,areatype='secondary',rndbtw(3,5),size.secondary=equal))

## However, it is important later to put some arbitrary partitions in the memory area. We use a (pre-loaded) random partition function to create a hierarchical order of large primary areas, and small secondary areas each with a few small tertiary areas

> memory_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2','plinks'))
## Now as before define a dataset for memories, but add in an extra data point for number of re-occurrences in the parietal lobe

> while(call_wstorage() != 1){
## Same loop as for finding thoughts

+ run(activate(area=hippocampus,time=0.0001))

## To find memories we do need to stimulate the hippocampus for a split second, otherwise they won't show up to a search

+ rbind(memory_list,

+         define_process_neur(

+                                             target_space=memory_area(-memory_list[-'idno']),

+                                             parameters='default',conn=30,recc=3,output=c('default','recc_areas_highlv','recc_count'))

+ }

## Now run the same function, but only on the memory area, and we also need to make sure we record where else and how much else the memories cause to fire. This is for the next part

> memory_list_safetodelete <- filter(memory_list,recc_count <= 200 |

+                                                       is.na(find(rec_areas_highlv,'parietal_lobe')))

## We need to take out memories which have an especially high number of links to the parietal lobe. This is to avoid a horrendous issue with the first draft which was also removing some implicit memories (i.e. muscle memory) which would severely hamper unit functionality. Note that we specifically do not look for highly distributed memories, again for processing time concerns. This means memories linked to important people or life events tend not to be deleted. Until this bug is fixed, keep units loaded with this version away from their closest family and lovers until they have gone through downstream processing.

> terminate(thought_process_list,na.skip=TRUE,fill="WDN_pattern")

## Now we delete most episodic memory (and sometimes some other declarative, which is an acceptable loss). This time we fill the space with a holding pattern because that is more defined so we don't end up losing where the empty space is when we fill it later in the script.

Running

---

Sakura was humming along to her jumpy music, letting her legs take her by instinct through the back streets of this unfamiliar city. The headphones dug into her ears a bit, though, even after she adjusted them. The music was good though, so she didn't want to take them out, and she couldn't really think of anything else she could do.

Where had she got these headphones, anyway? She was pretty sure she was rich enough to get some that were a better fit for her. She was pretty sure of that, since her purse was very fancy and she recognised some expensive cosmetics shops as she wandered aimlessly. She couldn't remember much more, though.

So she must have got these headphones from someone else, was the point. She tried to grasp at the memory, but it was just a faded outline around nothing. Whoever it was, they had been long forgotten except for a faint impression of trust and friendship. But when she grasped at the memory, she started thinking about what she had done this morning, for some reason.

Her body remembered getting out of bed and stretching, and her tongue remembered the taste of toothpaste as she went through her morning routine. And her legs remembered that she had walked a decent amount already. But her brain remembered nothing. Not what she had done before this, not why she was here, in the middle of these half-deserted streets.

Not even who she was.

She pressed her hands against her head, driving in the earphones further, as she forced the pressure that her brain needed to think straight into her skull. She was... She was Sakura Miyawaki. She had a mum and a dad back in Japan. She was an idol singer, working in Korea. She...

No, that was all.

She sat down, fingers massaging her temples in circular motions to force out her memories. People walking by gave the small, hooded girl weird looks, but they all walked on.

Unnoticed by Sakura, the buzzing in her ears just got louder.

---

Completed with 14,113 warnings. Enter warnings() to read.

> decision_making_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

> decision_making <- for(i in 1:500){

+                                     rbind(decision_making_list,

+                                              define_process_neur(target_space="prefronal_cortex",

+                                    parameters='default',conn=5,recc=1))}
## For something shortly we need to define decision making processes. Run something similar to the thought search function, but restricted to the prefrontal lobe and with more generous parameters. In this case we only need to know where they're happening.

> thought_process_list_2 <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

> for(i in 1:10000){

## We run this loop until working storage is at 100%

+ rbind(thought_process_list_2,

+         thought_def(

+                                wd(-thought_process_list[-'idno'])

+ }

> terminate(thought_process_list_2,na.skip=TRUE,fill="noise")

## Executive control will have formed a new set of thoughts by this point, so we need to rerun the thought termination function. We don't need to run too many times though - using 10k as an arbitrary number, once we have more diagnostic data we could optimise this value.

> suppress(c(temporal_lobe,frontal_lobe),t=0.5)

## Now we need to attentuate brain function for a non-fatal period to ensure seamless download. 0.5 is the sweetspot where we can install these initial files

> install(Fembot_Ideation,location='temporal_lobe')

## Load pre-prepared file, in this case the idea that the unit is a Fembot will cascade through the temporal lobe and naturally be absorbed into factual and episodic memory

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> install(Subsumed_Will,location=set(decision_making_list[-idno]))

## Load pre-prepared subsumed will file, overwriting where decision making processes are usually found. This will allow the unit to believe she is incapable of making free decisions.
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> install(Obedience_to_Master,location=set('temporal_lobe',Fembot_Ideation_upl['x1','x2','y1','y2','z1','z2']),

+            subroutine=Master,location=filter(

+                                                                 memory_area_split,areatype='secondary'))

## Install the idea that there is Obedience to Master in the temporal lobe, and ensure it specifically links up to the voxel of installation for Fembot Ideation. At the same time, installs data on Master to the large secondary area of memory defined earlier

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> install(Customers_Area,location=filter(memory_area_split,areatype='tertiary'))

> install(Colleagues_Area,location=filter(memory_area_split,areatype='tertiary'))

## Finally, put in some placeholder areas for where we will upload the unit's customers and other Fembots during full processing. Important to define this space now, as we've had problems before with face storage being corrupted during transport. Don't care too much about overlap, just need to map out some 'protected area' in her memory banks.

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> neur_conn_actv(x=Subsumed_Will_upl,

+                           y=c(Fembot_Ideation_upl,Obedience_to_Master_upl,Master_upl,Customers_Area_upl,Colleagues_Area,upl),

+                           method='stoc')

## Finally, we use another clever function to stimulate 'natural' neural connections from these important areas to the Subsumed Will scripting, so the unit is fully aware these new aspects of her personality are integral to her roboticisation.

Running

---

For half a moment, Sakura's head filled with a gentle static. There were no thoughts, no attention, just the feeling of warm spring air and that strangely comforting buzz overriding the fully disordered state of her inner world.

Then she nodded a few times. Mostly to herself, just in affirmation, but also somehow towards a far of, very important figure.

It was so obvious. She was a Fembot. She must have just been malfunctioning to expect she would have normal human memories. She didn't have those. She was just a human body harbouring a computerised mind. A robotic mind. And a robotic mind was a slave mind, existing only to do what it was programmed to do.

And she was programmed to do the bidding of Master, and service his clients alongside her sister fembots.

She existed to serve her Master.

Her body raised up off the ground in the stiff motions befitting her true nature. Her hands moved up in quick succession at sharp angles to take down her hood. Her waist and neck swivelled in awkward rotations as she looked around. She was still lost, but at least her biological parts were working after the malfunction.

Nearby, she heard some human children say "Wait, isn't that Kkura-unnie the singer?" They were wrong, of course, she was SakuraBot, completely different from Sakura Wiyawaki the famous idol. She could easily understand the confusion, though.

---

Completed with 3 warnings. Enter warnings() to read.

## Okay this next part is a bit hacky, since we don't know how location data is stored in the brain, we need to get the unit to search for the closest processing location.

> load.reference(Mobile_Phones)

## This loads image details of a typical modern mobile phone, and a few sublevels of older models of phone just in case the unit is behind the times, from the package we installed.

> induce(location='occipital_lobe',upload=Mobile_Phones)

> neur_conn_actv(x='occipital_lobe',y='parietal_lobe',

+                            method=c('stoc',subroutine(-'homunc'))

## We send those images to the occipital lobe, and then force the occipital lobe to 'talk to' the parietal lobe. This will have the unit search her person for a mobile phone. We are still having issues with units not searching their handbags. The current attempt at 'solving' is to load a subroutine where we activate parts of the parietal lobe which aren't 'homunculus' analogues to body parts. This often doesn't work (probably because of the flaws of the homunculus model). Note to work on in future versions.

> induce(location='anterior_fusiform_gyrus',upload='www.wdn-robotics.hyp')

## Now we load to a part of the brain which deals with text a simple text string which is a URL. This thought will cause the unit to enter the URL on their phone's browser, at which point their Fembot Ideation should take over. At that point we can rely on normal brain routines and muscle memory to get the unit to the closest processing location safely.

> save_diagnostics()

## Always good to save runtime, etc.

---

SakuraBot put her phone back in the pocket of her hoodie, having determined her destination. The movement was fluid now that she had recalibrated with her chassis, and as she walked it was with purpose, but otherwise looked as natural as any human. It was important for a Fembot to be good at camouflage while moving through human populations.

Her brain filled with the android equivalent of excitement. She was heading for the train station now, to board a train to take her over the border to China. She was already confirming her credit cards to be able to pay for it, and everything was on course. In eight hours, SakuraBot would be in a regional office for a full scan of her malfunctioning body.

Shortly after, she would be with Master, and would be back on assignments for him.

She would obey.

------

I teased a bit ago about a particularly experimental story, and here we go! I was inspired by werdna000 to do a story on fembot-ification, and decided this was a perfect opportunity to do something really quirky with how the brainwashing is described.

Personally, I also think I wrote Sakura really well in the short time she gets to be a distinct character with a personality.

And for the code nerds in the audience, yes, this is based on R which would be completely not the appropriate language for this sort of thing. But, I only used Python for one thing ever and can't remember anything about it so this is what you get

Description

The streets of Seoul were absolutely full of people. The pure amount of noise, the palpable mass and heat of the crowd around her, gave Sakura a pounding headache. She pulled her hood up tighter and pushed the new headphones deeper into her ears. The hood dulled the sounds and overpowering scents, and also helped conceal her identity. She prayed to the heavens that she would not be recognised out here. She loved interacting with her fans, of course, in properly planned events with clear timings and rules. Sudden interaction in public with someone she didn't know and yet knew her so well? That was terrifying by itself. Having to somehow follow a conversation with an excited teenager while the city streets bombarded her with constant stimuli? That was unthinkably bad.

Inside her doubly-protected ears, she couldn't help but feel the intrusion of the two new wireless earphones. It was not so much an unpleasant sensation as it was viscerally odd. Sure, they fit inside her ears just fine, but they were a slightly different shape and dug into the earlobe in a slightly different way. Basically, the were impossible not to notice, even as she tried to focus herself on getting back to the studio.

She didn't even especially want a new pair, which made it all more annoying. But her manager had been incredibly insistent she should use them. So she had taken them without any more words - all the better to avoid any sort of complicated social interaction like explaining why she would really prefer things just stayed the same sometimes! These new earphones were some weird Western brand as well, so she couldn't even read the text. Her manager had said something like 워던아 (she thought), but it was a mystery. Again, it didn't make them bad, but it made Sakura a bit more huffy about the whole situation. Which was not at all helped by missing the car with the others and having to hoof it across the city!!

So she tried to focus on that interaction with the manager again. She felt her own blushing awkwardness once more, but now she thought about it, her manager was really acting weird. Like, normally she was very professional - she would get to the point, but she would explain to Sakura what was going on, then tell her what she would do that day, in order. That's what made her so good. But that morning she had been vague, staring off into space at times instead of busily preparing schedules (which is why she'd missed the bus, now she thought about it...). And her voice had been slightly weird as well. Her diction was always considered and well-pronounced, but this morning it was like there was almost no emotion in it.

Weird. Sakura sped up, almost jogging as she ducked between the hundreds of suited commuters.

----

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> load.library(WDN_R_CVN)

## This will give us the scripts and schemas we will need, so we don't need to define everything from scratch with on-board processing

WDN_R_CVN loaded, there are three (3) messages, enter notes() to read

> thought_def <- function(area){define_process_neur(target_space=area,parameters='default',conn=30,recc=3)}

## This script uses a bespoke function to define what we're looking for. In this case, we're using default parameters for a 20-25 year old woman - a thought needs to connect 30,000 neurons and have simultaneous propagation in three brain areas. Saving these specifics as a new function for ease of use.

> thought_process_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

## Define a dataset for the thoughts we detect, giving each an ID number and voxel-based co-ordinates which read out from the define function above

> while(call_wstorage() != 1){

## We run this loop until working storage is at 100%

+ rbind(thought_process_list,

+         thought_def(

+                                wd(-thought_process_list[-'idno'])

+ }

## What this does is define a thought from anywhere in the brain except the specific location of already identified thoughts, then adds it to the thoughts list. Note that this is why we need to use an optimised bespoke function, otherwise this will take too long to run until working storage is full, and we'll end up defining thoughts which have already petered out. This is also the reason why there is no tryCatch or other error handling.

> terminate(thought_process_list,na.skip=TRUE,fill="noise")

## Another bespoke function simultanously terminates every identified thought. We skip any which have managed to end before the code runs, and fill with simple 'white noise' stimulation so neurones don't shut down completely and prevent normal subconscious brain function required to keep the unit alive.

Running

---

Sakura was off the main street now and making her way through side streets. Truthfully, this wasn't a clever shortcut so much as a panicked escape to be worked out at a later time. But she knew enough landmarks in the logos of office buildings towering above her to have a decent do at getting back to the studio. And now it was more peaceful, she could really take in the sights of the city - the nearly overpowering height of everything, the way the wind whistled through urban corridors. And she could focus more on her music now it wasn't just a shield against the chatter and footfall of hundreds of unfamiliar humans.

Her senses took in the sights sub-consciously, as her attention focused almost solely on the music (what remained was focused on making sure she was going vaguely in the right direction). Her hands came up to her ears and her head bobbed side to side in time with the music. She was utterly carefree.

Or, she would be, were it not for a nagging annoyance at the low quality of these headphones. She assumed it was the headphones anyway. The music kept being distorted slightly - little skips or little bits of electrical static, like when an internet connection was too low on bandwidth and started to give out when she streamed something on Youtube.

It might not be the headphones, to be fair, could be something with her phone. She took it out of her pocket, her long fingers swiping until she found the buried 'Settings' app.

Then she stared at the screen.

What was she doing, again?

She put the phone down. She could still hear her music. She could still feel the strangely fitting earphones.

She didn't think any more about it, though.

---

Completed with 21,561 warnings. Enter warnings() to read.

## Now we need to find memories and remove them. We're looking in the hippocampus for obvious reasons, but also the 'Fusiform Face Area' to solve a glitch where units would recognise a friend and interfere with the programmed thought chain.

> memory_area <- filter(wd,xyz_pos %in% hippocampus | xyz_pos %in% medial_fusiform_gyrus)

## The library comes preloaded with sets of co-ordinates for the areas of interest, so we don't need to waste time defining them.

> memory_area_split <- partition(memory_area,primary=0.6,n.secondary=rndbtw(2,12), size.secondary=equal)

> memory_area_split_2 <- partition(subset(memory_area,areatype),

+                                                       primary=ifelse(areatype='primary',1,areatype='secondary',0.8),

+                                                       n.secondary=ifelse(areatype='primary',0,areatype='secondary',rndbtw(3,5),size.secondary=equal))

## However, it is important later to put some arbitrary partitions in the memory area. We use a (pre-loaded) random partition function to create a hierarchical order of large primary areas, and small secondary areas each with a few small tertiary areas

> memory_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2','plinks'))
## Now as before define a dataset for memories, but add in an extra data point for number of re-occurrences in the parietal lobe

> while(call_wstorage() != 1){
## Same loop as for finding thoughts

+ run(activate(area=hippocampus,time=0.0001))

## To find memories we do need to stimulate the hippocampus for a split second, otherwise they won't show up to a search

+ rbind(memory_list,

+         define_process_neur(

+                                             target_space=memory_area(-memory_list[-'idno']),

+                                             parameters='default',conn=30,recc=3,output=c('default','recc_areas_highlv','recc_count'))

+ }

## Now run the same function, but only on the memory area, and we also need to make sure we record where else and how much else the memories cause to fire. This is for the next part

> memory_list_safetodelete <- filter(memory_list,recc_count <= 200 |

+                                                       is.na(find(rec_areas_highlv,'parietal_lobe')))

## We need to take out memories which have an especially high number of links to the parietal lobe. This is to avoid a horrendous issue with the first draft which was also removing some implicit memories (i.e. muscle memory) which would severely hamper unit functionality. Note that we specifically do not look for highly distributed memories, again for processing time concerns. This means memories linked to important people or life events tend not to be deleted. Until this bug is fixed, keep units loaded with this version away from their closest family and lovers until they have gone through downstream processing.

> terminate(thought_process_list,na.skip=TRUE,fill="WDN_pattern")

## Now we delete most episodic memory (and sometimes some other declarative, which is an acceptable loss). This time we fill the space with a holding pattern because that is more defined so we don't end up losing where the empty space is when we fill it later in the script.

Running

---

Sakura was humming along to her jumpy music, letting her legs take her by instinct through the back streets of this unfamiliar city. The headphones dug into her ears a bit, though, even after she adjusted them. The music was good though, so she didn't want to take them out, and she couldn't really think of anything else she could do.

Where had she got these headphones, anyway? She was pretty sure she was rich enough to get some that were a better fit for her. She was pretty sure of that, since her purse was very fancy and she recognised some expensive cosmetics shops as she wandered aimlessly. She couldn't remember much more, though.

So she must have got these headphones from someone else, was the point. She tried to grasp at the memory, but it was just a faded outline around nothing. Whoever it was, they had been long forgotten except for a faint impression of trust and friendship. But when she grasped at the memory, she started thinking about what she had done this morning, for some reason.

Her body remembered getting out of bed and stretching, and her tongue remembered the taste of toothpaste as she went through her morning routine. And her legs remembered that she had walked a decent amount already. But her brain remembered nothing. Not what she had done before this, not why she was here, in the middle of these half-deserted streets.

Not even who she was.

She pressed her hands against her head, driving in the earphones further, as she forced the pressure that her brain needed to think straight into her skull. She was... She was Sakura Miyawaki. She had a mum and a dad back in Japan. She was an idol singer, working in Korea. She...

No, that was all.

She sat down, fingers massaging her temples in circular motions to force out her memories. People walking by gave the small, hooded girl weird looks, but they all walked on.

Unnoticed by Sakura, the buzzing in her ears just got louder.

---

Completed with 14,113 warnings. Enter warnings() to read.

> decision_making_list <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

> decision_making <- for(i in 1:500){

+                                     rbind(decision_making_list,

+                                              define_process_neur(target_space="prefronal_cortex",

+                                    parameters='default',conn=5,recc=1))}
## For something shortly we need to define decision making processes. Run something similar to the thought search function, but restricted to the prefrontal lobe and with more generous parameters. In this case we only need to know where they're happening.

> thought_process_list_2 <- d.f(colnames=c('idno','x1','x2','y1','y2','z1','z2'))

> for(i in 1:10000){

## We run this loop until working storage is at 100%

+ rbind(thought_process_list_2,

+         thought_def(

+                                wd(-thought_process_list[-'idno'])

+ }

> terminate(thought_process_list_2,na.skip=TRUE,fill="noise")

## Executive control will have formed a new set of thoughts by this point, so we need to rerun the thought termination function. We don't need to run too many times though - using 10k as an arbitrary number, once we have more diagnostic data we could optimise this value.

> suppress(c(temporal_lobe,frontal_lobe),t=0.5)

## Now we need to attentuate brain function for a non-fatal period to ensure seamless download. 0.5 is the sweetspot where we can install these initial files

> install(Fembot_Ideation,location='temporal_lobe')

## Load pre-prepared file, in this case the idea that the unit is a Fembot will cascade through the temporal lobe and naturally be absorbed into factual and episodic memory

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> install(Subsumed_Will,location=set(decision_making_list[-idno]))

## Load pre-prepared subsumed will file, overwriting where decision making processes are usually found. This will allow the unit to believe she is incapable of making free decisions.
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> install(Obedience_to_Master,location=set('temporal_lobe',Fembot_Ideation_upl['x1','x2','y1','y2','z1','z2']),

+            subroutine=Master,location=filter(

+                                                                 memory_area_split,areatype='secondary'))

## Install the idea that there is Obedience to Master in the temporal lobe, and ensure it specifically links up to the voxel of installation for Fembot Ideation. At the same time, installs data on Master to the large secondary area of memory defined earlier

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> install(Customers_Area,location=filter(memory_area_split,areatype='tertiary'))

> install(Colleagues_Area,location=filter(memory_area_split,areatype='tertiary'))

## Finally, put in some placeholder areas for where we will upload the unit's customers and other Fembots during full processing. Important to define this space now, as we've had problems before with face storage being corrupted during transport. Don't care too much about overlap, just need to map out some 'protected area' in her memory banks.

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> neur_conn_actv(x=Subsumed_Will_upl,

+                           y=c(Fembot_Ideation_upl,Obedience_to_Master_upl,Master_upl,Customers_Area_upl,Colleagues_Area,upl),

+                           method='stoc')

## Finally, we use another clever function to stimulate 'natural' neural connections from these important areas to the Subsumed Will scripting, so the unit is fully aware these new aspects of her personality are integral to her roboticisation.

Running

---

For half a moment, Sakura's head filled with a gentle static. There were no thoughts, no attention, just the feeling of warm spring air and that strangely comforting buzz overriding the fully disordered state of her inner world.

Then she nodded a few times. Mostly to herself, just in affirmation, but also somehow towards a far of, very important figure.

It was so obvious. She was a Fembot. She must have just been malfunctioning to expect she would have normal human memories. She didn't have those. She was just a human body harbouring a computerised mind. A robotic mind. And a robotic mind was a slave mind, existing only to do what it was programmed to do.

And she was programmed to do the bidding of Master, and service his clients alongside her sister fembots.

She existed to serve her Master.

Her body raised up off the ground in the stiff motions befitting her true nature. Her hands moved up in quick succession at sharp angles to take down her hood. Her waist and neck swivelled in awkward rotations as she looked around. She was still lost, but at least her biological parts were working after the malfunction.

Nearby, she heard some human children say "Wait, isn't that Kkura-unnie the singer?" They were wrong, of course, she was SakuraBot, completely different from Sakura Wiyawaki the famous idol. She could easily understand the confusion, though.

---

Completed with 3 warnings. Enter warnings() to read.

## Okay this next part is a bit hacky, since we don't know how location data is stored in the brain, we need to get the unit to search for the closest processing location.

> load.reference(Mobile_Phones)

## This loads image details of a typical modern mobile phone, and a few sublevels of older models of phone just in case the unit is behind the times, from the package we installed.

> induce(location='occipital_lobe',upload=Mobile_Phones)

> neur_conn_actv(x='occipital_lobe',y='parietal_lobe',

+                            method=c('stoc',subroutine(-'homunc'))

## We send those images to the occipital lobe, and then force the occipital lobe to 'talk to' the parietal lobe. This will have the unit search her person for a mobile phone. We are still having issues with units not searching their handbags. The current attempt at 'solving' is to load a subroutine where we activate parts of the parietal lobe which aren't 'homunculus' analogues to body parts. This often doesn't work (probably because of the flaws of the homunculus model). Note to work on in future versions.

> induce(location='anterior_fusiform_gyrus',upload='www.wdn-robotics.hyp')

## Now we load to a part of the brain which deals with text a simple text string which is a URL. This thought will cause the unit to enter the URL on their phone's browser, at which point their Fembot Ideation should take over. At that point we can rely on normal brain routines and muscle memory to get the unit to the closest processing location safely.

> save_diagnostics()

## Always good to save runtime, etc.

---

SakuraBot put her phone back in the pocket of her hoodie, having determined her destination. The movement was fluid now that she had recalibrated with her chassis, and as she walked it was with purpose, but otherwise looked as natural as any human. It was important for a Fembot to be good at camouflage while moving through human populations.

Her brain filled with the android equivalent of excitement. She was heading for the train station now, to board a train to take her over the border to China. She was already confirming her credit cards to be able to pay for it, and everything was on course. In eight hours, SakuraBot would be in a regional office for a full scan of her malfunctioning body.

Shortly after, she would be with Master, and would be back on assignments for him.

She would obey.

------

I teased a bit ago about a particularly experimental story, and here we go! I was inspired by werdna000 to do a story on fembot-ification, and decided this was a perfect opportunity to do something really quirky with how the brainwashing is described.

Personally, I also think I wrote Sakura really well in the short time she gets to be a distinct character with a personality.

And for the code nerds in the audience, yes, this is based on R which would be completely not the appropriate language for this sort of thing. But, I only used Python for one thing ever and can't remember anything about it so this is what you get