Don't think I'm bees anymore guys

Older and hotter than your mom, 2nd wave tumblrina, I heart cats, cock, cuddling, and coffee

[serioustrannyfaggotwithatail]

Gender Affirming Surgery that removes your gag reflex

[serioustrannyfaggotwithatail]

been doing some research y’all

I figure by the time this creeps to about 4k I’ll be ready to present my findings

[loth-catgirl]

please help get this to 4k I’m eager for the results

[serioustrannyfaggotwithatail]

@loth-catgirl lol, I meant that BY THE TIME this gets to 4k, but I also work well under consensual pressure and approve of accelerationism so here we go

a few quick notes then long post beneath the fold

– gag reflex consists of base of tongue, tonsils, and back of throat – about 10-15% of people have a hypersensitive reflex, and there are medical options – the 3 relevant surgeries are: Tonsillectomy, Uvulectomy, and UPPP – I’m not gonna tell you how to be a better thrussy, that’s on you - I’m just gonna spill what I’ve learned about the gag reflex in general - and then elaborate a bit on the surgeries – Remember in like 2010 there was a “science side of tumblr”? well, I’m not that.  So please do your own follow up research.

Keep reading

[serioustrannyfaggotwithatail]

not sure how tumblr managed to break a keep reading link, so here’s the rest:

========

So, the gag reflex is part of the somatic nervous system - meaning that it is technically a voluntary response.  It’s identified this way because the stimuli travels up a sensory nerve to the brain which then sends a motor signal back down to perform the gag (which is why it can be psychologically triggered without stimuli) -- as opposed to only needing part of the spinal cord like the knee reflex.

In fact, lack of gag reflex used to be a key indicator of brain death - until we learned more about it.

more recent studies seem to indicate that roughly 1/4 to 1/3 of (otherwise “healthy”) people have no, or very weak, gag reflex.  While 10-15% have a hypersensitive gag reflex, or HGR.

The notes on this post, while too unscientific to confirm the distribution, do confirm this spectrum.

Interestingly enough, babies are born with a super sensitive reflex for about the first 7 months - this is why we wait before gradually introducing solid foods.  There are a number of theories that suggest an acceleration, or delay, in solid food introduction can influence the sensitivity of the gag reflex as the person continues to develop, but there is no solid evidence, as there are no formal studies.

The gag itself:  they call it “bilateral pharyngeal muscle contraction” - the right and let sides of the throat squeeze inward, narrowing the overall passage.  Additionally, the soft palate (roof of mouth) moves upwards - and the rest is basically the same as a cough.

There are a number of further mechanisms that can chain the gag to a retch or full on vomit, but I’m not going into that.

Receptors for the gag reflex include the base of the tongue, tonsils, and back of the throat.  The uvula (punching bag lookin thing that hangs down), which technically is not part of the gag reflex system, still plays a role in some circumstances, which I’ll cover in a sec.

Additionally, further down the throat there is an auto-swallow mechanism as well - I suggest this can affect oral performance because the swallow may press the gag receptors, especially the tongue, firmly against the (consensual) foreign object, thus sending additional gag triggers to the brain.

The uvula - The uvula is the flap that opens or closes the nasal passage to the throat. In some cases, such as mine, the uvula can be longer than it needs to be, or it can be misshaped.  At rest, the uvula should be quite round at the bottom and have reasonable (varies per body) clearance above the tongue.  In my case, the uvula is a bit longer than it needs to be, and it comes to a point at the end, instead of round.  This leads to mucous (or other similar substance) retention between the uvula and the tongue, thus activating gag receptors.

There is a surgical option for this, which I’ll get to soon.

Tonsils - the little brain looking things on either side of the throat.  The larger these are, the less room there is for getting things past them w/o triggering gag.  Additionally, the more wrinkles or folds, the more likely to retain material - thus prolonging the stimulation, and sending more gag signals.

Back of the throat, or “posterior pharyngeal wall” is the least sensitive of the 3, partly by design, and partly due to surface area, and has the fewest options for modification or desensitization. 

Tongue - for most of us, this is going to be the primary gag trigger, again partly by design, and partly due to surface area. In my case, I have a very articulate tongue.  I can make shapes and motions that I’ve not met anyone else who can.  I believe this is because my tongue, especially towards the base, is quite beefy for lack of better word.  It takes up a reasonably larger portion of my throat, which also contributes to the reduced space between it and my uvula.

and now the part you’ve been waiting for -- what can we do about it?

++ firstly, props to @puppyboyfucktoy​ - for most people you can absolutely desensitize your tongue with regular brushing, and he lays it out quite nicely in the notes. Good boy.

Tonsillectomy  Just as it sounds, surgical removal of the tonsils. In cases of tonsillitis, typically indicated by excessive redness and swelling, this procedure can be deemed medically necessary and covered by insurance or treated as “uncompensated care”.  While it is considered a routine operation, I do not know if you can get a tonsillectomy as an elective procedure.

update: also may be deemed medically necessary in pediatric OSBD (obstructive sleep-breathing disorder) that does not respond to other treatments

Uvulectomy - also just as it sounds, removal of the uvula.  Probably only going to be done when deemed medically necessary.  Comes with a number of side effects, like learning to swallow again. This is a major procedure, with many many implications, please do research.  Fun part about this one tho, is that upon sudden introduction of more fluid than you can swallow, it’s likely to come out of your nose ;) -- and I highly doubt any surgeon will do this as elective.

Uvulopalatopharyngoplasty or UPPP - a rather complex procedure, designed primarily to treat obstructive sleep apnea, excessive snoring, difficulty swallowing and other major, life-threatening, conditions. This can involve removal or reshaping of the uvula, reshaping of the soft palate and pharyngeal walls, removal of tonsils, and even resizing/reshaping of the tongue ( uvulopalatopharyngoglossoplasty) - if there’s a single procedure that satisfies the original post, this would be it - but also good fucking luck getting this done electively.

==========

For y’all that are gagging on like yogurt and shit - that’s a legit indication of HGR so there may be medical options that (and you might need to embellish a little) can also be deemed medically necessary, potentially granting you access to either insurance coverage, or uncompensated care

[dogpuppy]

[estrogenesis-vaporeongelion]

this plus booty shorts that say

STARE AND QUAKE

I POSSESS THE CAKE

[serioustrannyfaggotwithatail]

You should get free panties that say this on the front after bottom surgery

[justalurkr]

Text of tweet under the cut because it is loooong.

But... Stochastic Parrots.

Timnit Gebru was fired from Google in December 2020 for refusing to retract a research paper, and every single warning that paper made about large language models has now happened at a scale the industry spent 4 years trying to make people forget about.

Her name is Timnit Gebru.

She co-led the Ethical AI team at Google. She co-wrote a paper called "On the Dangers of Stochastic Parrots" with Emily Bender at the University of Washington and two other researchers. The paper was 14 pages long. It was submitted to a top AI ethics conference. And it was the reason Google decided that one of the most senior Black women in AI research could no longer work there.

The story Google told publicly was that she resigned. The story she told, confirmed by 2,695 of her colleagues in an open letter, was that she was fired by email while on vacation because she refused to either retract the paper or remove her name from it.

The paper had not even been published yet.

Here is what she actually wrote, and why every prediction inside it has now come true.

The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language. They called these systems stochastic parrots because they would repeat patterns from training data with statistical confidence and zero comprehension. The paper predicted that this apparent intelligence would fool both users and developers into trusting outputs that were structurally incapable of being reliable.

This was 2020. GPT-3 had just come out. The paper predicted the hallucination problem before anyone had a word for it.

The second warning was about bias amplification. The paper documented in detail that internet-scale training data contains systematic overrepresentation of dominant viewpoints and underrepresentation of marginalized ones. The models would not just absorb this bias. They would amplify it, because the optimization process rewards confident outputs, and confidence in language patterns tracks frequency in the training set.

The prediction was that hiring tools built on these models would discriminate against women. That healthcare triage tools would underperform on Black patients. That loan approval systems would entrench inequality while presenting their decisions as neutral algorithmic judgment.

Every one of those things has now been documented in deployment.

Amazon's hiring algorithm penalized resumes that contained the word "women" in any context. Healthcare risk scoring algorithms used by major US hospitals were found to systematically underestimate the medical needs of Black patients. Apple Card's credit algorithm gave wives credit lines 10x lower than their husbands for the same financial profile.

The third warning was about environmental cost. The paper calculated that training a single large language model produced emissions equivalent to the lifetime output of 5 cars. The prediction was that the race to scale would create an environmental footprint that would eventually rival entire industries.

In 2024, Google's emissions were up 48% from 2019, and the company explicitly blamed AI infrastructure. Microsoft's were up 29%, same reason. Both companies have now quietly abandoned the climate commitments they were publicly celebrating the year Gebru was fired.

The fourth warning was about documentation. The paper argued that the training datasets being assembled were too large for anyone to actually audit. Nobody at Google, OpenAI, Meta, or any other lab could tell you with confidence what was in the data their models were trained on. This was not a temporary problem to be solved later. It was a permanent feature of the approach.

In 2023, researchers discovered that the LAION-5B dataset, used to train Stable Diffusion and other major image models, contained thousands of images of child sexual abuse material. The companies that had trained on the dataset had no way of knowing. The paper predicted that category of failure 3 years before it was found.

The fifth warning was the one Google cared about most.

Bender and Gebru argued that the deployment of these systems would centralize linguistic and cultural power in the hands of the small number of companies that could afford to train them. The internet would become a place where the dominant voice was a statistical average of dominant voices, presented as a neutral assistant. Languages underrepresented in the training data would degrade over time as more web content was generated by these systems and fed back into the next training run.

This is now happening in real time. A 2024 study found that 57% of new web content in English is AI-generated or AI-assisted. Researchers studying low-resource languages have documented active degradation in translation quality, because the synthetic content fed back into training is itself worse in those languages.

The paper Google fired her for predicted the model collapse problem before model collapse had a name.

The mechanism behind why this all happened is the part of her work that nobody quotes.

Gebru's argument was not that AI is dangerous in some abstract sci-fi sense. Her argument was that AI is dangerous in a very specific structural sense. The technology was being built by a small group of researchers who shared similar backgrounds, worked at similar companies, and were rewarded for shipping products faster than competitors. The incentive structure made it impossible for safety, ethics, and bias concerns to slow anything down. Anyone inside the system who raised those concerns was either ignored, sidelined, or removed.

She was making that argument from inside Google.

Then Google proved her right by removing her.

The team Google had built to make sure their AI was safe was dismantled in 90 days because they did the job they had been hired to do. Margaret Mitchell, the other co-lead of the Ethical AI team, was fired two months after Gebru for searching through her own emails for evidence of how Gebru had been treated.

Gebru did not stop. She founded DAIR, the Distributed AI Research Institute, in 2021. The mission is to do AI research outside the control of the companies that have a financial interest in not hearing the answers.

Every prediction in the Stochastic Parrots paper has now been validated by deployment. Hallucinations are an industry-wide problem the largest labs cannot solve. Bias amplification has been documented in hiring, healthcare, lending, and criminal justice. Environmental costs are larger than entire small countries. Training data audits remain impossible. Model collapse is an active research crisis at every major lab.

The question worth sitting with is the one almost no one in the industry will say out loud.

Every researcher with the technical credibility to call out these problems watched what happened to her in December 2020 and made a calculation about their own career. The number of people willing to speak publicly about safety and ethics issues inside the major AI labs collapsed after that firing and has not recovered.

The researcher Google fired for warning about exactly what is now happening was right.

The company that fired her is now the second-largest deployer of the technology she warned about.

And the people inside that company who agree with her are not allowed to say so.

[irispurpurea]

This is the paper. It's excellent, highly recommend reading it.

I remember reading about Gebru's firing but I had no idea this was the paper she was fired over.

[serioustrannyfaggotwithatail]

[roughribo]

Keeping her as a pet will fix her. Keeping her as a pet will break her. A girl needs both.

[serioustrannyfaggotwithatail]

my favorite number is obviously 8

know why?

its the amazing digit, all circles

[vulcanette-deactivated20260506]

the new dj crazytimes song … now that’s what I call music!

[vedajuno]

[allthestarscantfillalifetime]

The over-pronunciation of every word is so spot on lol

[serioustrannyfaggotwithatail]

My bottle of surface cleaner has a think layer of dust on it

#Environmental Storytelling

[serioustrannyfaggotwithatail]

So at my job I made a few proposals for things and I was told to submit them to the project committee for approval and after being stuck there for weeks I found out there isn't a process for approving new proposals.

So I thought "wouldn't it be funny to submit a proposal for improving the proposal approval process"

So I did.

And the manager liked it and the Project Manager liked it and then the VP liked it and now I'm meeting with global directors and VPs and Architect teams to implement a new project approval process

So I guess the moral of the story is - Commit to the bit

[roughribo]

She got afflicted with that high heels and not allowed on her owner's furniture kink combo. Probably has an affinity for leashes and loss of autonomy too, the poor dumb thing.

[roughribo]

Glittery sign saying "Enrichment Area" with hearts drawn on it but it's just my basement converted to the torture dungeon you're now kept in.

[serioustrannyfaggotwithatail]

#TruthInAdvertising

[angelexile]

need someone holding onto my hair as they shove their fingers down my throat and ask me questions and make me nod to agree w them

[cipheramnesia]

On the other hand, if you're trans femme and say "welcome to being a woman" whenever a cis woman complains, that's actually hilarious.

[roughribo]

Imagine if you could just casually book a beating like you could book a massage.

"What have you got planned today?"

"Well I've got a mani/pedi at 10 and then I'm going up the street to the Rent-a-Dom Center to get my ass beat."

"Oh fun! I went there for the full body treatment last week."

[serioustrannyfaggotwithatail]

I mean... you can actually literally do this

[regardintemporel]

Paul-Emile Bécat – Illustration pour les Contes (Tome II) de Jean De la fontaine, 1928-1929

[trangoldin]

#penis inspection day at the convent

[the-manwich-horror]

Literally, yes.

This is a Paul-Emile Becat illustration done in the 1920s for a poem written in the 1600s by Jean de la Fontaine called "Les Lunettes" ("The Eyeglasses").

The basic plot is that a young nun gets pregnant, and the abbess is trying to figure out who the father was and how he got in and out. Eventually she realizes he couldn't have left and must still be inside, disguised as a nun. So she gets the nuns to strip and examines them.

The young man has used a bit of lace to to tie down his penis, and tucked it out of sight, but seeing all the naked nuns causes him to become erect. While she is inspecting him, the lace breaks and his penis pops up, knocking the abbess' eyeglasses off her face.

[all-pacas]

do you ever find something that is so funny and you want to share it with everyone but it also requires 18 layers of context spanning things like. 90s anime. aviation history. europop. canada. in order to even remotely understand why it is so funny

[all-pacas]

in the late 90s there was an anime called initial d which was all about street racing and drifting. naturally every single drift was played for great drama and excitement.

in 1999, an italian named giancarlo pasquini released a europop song under the alias dave rogers called Deja Vu. this song was picked up as the theme song for the above anime. it in turn became a meme, a shorthand for drifting and Cool Moves as a concept.

in 1983, air canada flight 143, a full sized 767, ran out of fuel halfway to edmonton, alberta. this is not something you want to have happen to a huge airplane. the flight chose to try and make an emergency landing at a nearby decomissioned airforce base (as they were falling fast and could not make it to a proper airport), where they ran into a second problem: they were falling out of the sky at 500 feet per mile, but reached gimli (the base in question) while still too high to safely land. normally a plane would just do a big loop-de-loop to lose altitude, but they had maybe three minutes of airtime left before they hit the ground: not enough time to make any kind of circle. the pilot, therefore, decided to execute a side slip to lose speed and altitude. this is Not a move you want to do with a massive 767, because airplanes are not built for that and if you screw it up that plane is hitting the ground at a high speed at a weird angle and breaking into a million pieces. nevertheless, the captain tried it... and succeeded. the plane landed perfectly, and there were no major injuries! (a couple of people did get minor injuries when evacuating the plane after.) he did it so well, in fact, that the plane was refueled, flown out of gimli a couple days later, and continued to fly for another 20 years with the nickname "Gimli Glider."

what is a side-slip, you ask?

it's drifting.

the guy goddamn drifted his 767.

in 2008, the tv show Mayday: Air Disaster featured the gimli glider with full reenactments as an episode on season five of their show.

and so, in conclusion, the thing i have been giggling to myself about all weekend:

[dragongirlsweetie]

a lot of tgirl fantasies are like what if i got turned into a girl and it wasn't my fault so nobody could get mad at me. and everyone was nice to me too.

[serioustrannyfaggotwithatail]

OP you just articulated why Forcefem appeals to so many of us in a way that I've been struggling to for years