Machine learning systems use neural networks that are frequently too vast and sophisticated to quickly find the most basic explanation for an event or observation, a phenomenon known as parsimony.
In physical sciences, most models do not understand the underlying physics of the system in question, such as restrictions or symmetries. This limits their ability to generalize. Furthermore, most machine learning models are challenging to understand. That is, most machine learning algorithms cannot learn physics or justify their predictions. These limits are sometimes offset by large amounts of data in many subjects. But this is not always practicable in areas like materials science, where data acquisition is costly and time-intensive.
Recent research conducted by Purdue University researchers has discovered a technique that shows how machine learning may be used to uncover physical principles from data. They found that enforcing parsimony on artificial neural networks through “stochastic optimization” allows them to better balance simplicity and accuracy, extracting meaningful physics from data.
Quick Read: https://www.marktechpost.com/2021/12/21/purdue-university-research-introduces-parsimonious-neural-networks-pnns-that-learn-interpretable-physical-laws-using-machine-learning/
Paper: https://www.nature.com/articles/s41598-021-92278-w?
Tool: https://nanohub.org/resources/pnndemo?
SCP-1714 by MissMercurial
So let's get into this math anomaly with unsettling implications about the universe.
>Object Class: Keter
Special Containment Procedures
>Testing involving SCP-1714 is restricted to D-class with a score below 130 on the Foundation Standard Test of Logical Reasoning Skills (FST-LRS) or a score below 130 on the Foundation Standard Test of Mathematical Aptitude (FST-MA).
Tests involving 1714 are to be done with D-Class who aren't good at logic and/or math.
>Foundation operatives in the academic community will monitor journals, universities, and laboratories for SCP-1714, with special consideration given to higher mathematics, physics, or philosophy departments.
Whatever this anomaly is, it is related to academia or has a possibility of cropping up in academia.
The rest of the con procs are just standard "Copy held in locker" and "Amnesticize civilians" so let's move on.
Description
>SCP-1714 is a partially-finished mathematical proof, identified as logically sound by Foundation mathematicians, attempting to create a mathematical framework for the analysis of reality-altering anomalies.
It is a model for analysing (and presumably predicting) reality-changing anomalies. That seems odd by default; since reality-altering is anomalous, there shouldn't be models capable of predicting it.
>Among SCP-1714's more important sections is a lemma proving the existence of reality bending anomalies as a natural consequence of the boundary conditions of the universe.
A lemma is (I'm quoting from google translate) "A subsidiary or intermediate theorem in an argument or proof."
This is the real teeth of the anomaly. SCP-1714, if true, proves that reality-altering is not anomalous.
>This lemma predicts a prevalence of ████ alterations in reality as understood by mainstream science, with only ██% known to and contained by the Foundation.
No explanation required.
>Foundation mathematicians and theoretical physicists have reached the conclusion that SCP-1714 in its entirety could be applied to the creation and manipulation of reality-altering anomalies by parties of sufficient technological advancement.
The anomaly could legitimately work.
>At seemingly random intervals in the text of SCP-1714 are a series of writings railing against the complexity of the observable universe and expressing a desire to restructure the universe into a form too simpl
... keep reading on reddit ➡
“Y-you want me to...Break the Rules of Hospitality?” He said, incredulous.
“No, great Collector, Parsimonious LeGrand, whom even the Duke respects so much. I expect you to Twist and to Bend - not break the Rules of Hospitality.” The First Curator responded, her smile getting wider as she revealed more and more of the plan, “Twist and bend them enough, and an innocent Child will be the one to break them.”
Parsimonious didn’t understand what she was talking about, but felt like he should be smiling along with her. He didn’t get many social cues in the environment he was raised in - he even bought a pair of Enchanted Glasses once which would help him see the truth of people’s emotions - it didn’t help. So he followed what instincts he had slowly developed, he smiled and nodded.
“And uhh, which child exactly will be the one to break Hospitality?”
“Why, one 'Oliver Stone.'” The First Curator said. It vaguely sounded as if she was letting him on a joke.
“...who?”
He didn’t get it, and that was fine with her.
Night of the Grand Opening - Sanctuary
>Parsimonious felt he needed no introduction, for all should know of the famous LeGrand family of Collectors. He wore his finest rings to the event (only three of which were magical of course - one per hand as well as a third on his Hand of Glory implement).
>An 'impressively large' man, Parsimonious wore a fine, green coat - fashionable back in his grandfather's age which he knew simply must be more awe-striking given the time that has passed. His generous nature surely showed itself, even as a gaggle of oathbound Goblins struggled to keep up with lifting him through the Path Behind the Lights.
>The ground was too petty for his feet, after all.
Once inside, on - thank goodness - carpeted floor, Parsimonious finally deemed the ground worthy to stand on. This had absolutely nothing to do with feeling slightly nauseous from the Goblins’ lack of proper decor. Why, his grandfather had twice as many Faerie lift his palanquin up - and he was told the ride was smooth as a Mercedes.
That his grandfather had gruesomely died from an improperly made contract and…allegedly, possibly abusing said Fae, had been a family lesson however:
Don’t allow yourself to be blamed for your own work, have other people take responsibility.
And take responsibility they
... keep reading on reddit ➡
https://preview.redd.it/js7pe1ef2ui71.png?width=225&format=png&auto=webp&s=4d15414805544c6b8c0baca52bf5a1e6311b6d28
For example, without any scientific reason to doubt his senses, is it more parsimonious for a blind man who hears a car leaving him (based on the doppler effect) to conclude that the car is really leaving him or to conclude that that is an illusion?
"what happened to all the sanctimonious talk about putting his family first?"
>sanctimonious: making a show of being morally superior to other people.
>parsimonious: unwilling to spend money or use resources; stingy or frugal.
Their merchant princes were supposed to be parsimonious and austere: fustian in apparel and coarse in diet.
>fustian: : a strong cotton and linen fabric
>
>: a class of cotton fabrics usually having a pile face and twill weave
u/koine_lingua has already posted an article on the matter here, however, the website seems to have been deactivated and the post has been archived. Perhaps he could upload the article again elsewere.
Here is an older article by him on this issue, and here is another article of the same mind.
At least as a layman, the last two articles made me think that their hypothesis of the meaning of Luke 20:34-36 is parsimonious, i.e. the most likely intepretation of what the writer had in mind.
However, when I asked the opinion of Professor Bart Ehrman regarding the validity of this hypothesis, he was quite adamant:
>No, I don’t think so at all. Most of Jesus’ disciples were almost certainly married. Then as now, most people were.
This made me realize that the said hypothesis can't just be assumed to be parsimonious, and perhaps hasn't been widely accepted for good reasons. What do you think?
I love my sheep and I am the shepherd.
The Lord is our parson there is nothing we shall eat. I walk in the pastures of our grace and mercy
You have been warned, now join.
What's the best GRE word you've managed to work into a casual conversation?
https://twitter.com/trvrb/status/1222972841336819713?s=19
https://nextstrain.org/ncov
Machine learning systems use neural networks that are frequently too vast and sophisticated to quickly find the most basic explanation for an event or observation, a phenomenon known as parsimony.
In physical sciences, most models do not understand the underlying physics of the system in question, such as restrictions or symmetries. This limits their ability to generalize. Furthermore, most machine learning models are challenging to understand. That is, most machine learning algorithms cannot learn physics or justify their predictions. These limits are sometimes offset by large amounts of data in many subjects. But this is not always practicable in areas like materials science, where data acquisition is costly and time-intensive.
Recent research conducted by Purdue University researchers has discovered a technique that shows how machine learning may be used to uncover physical principles from data. They found that enforcing parsimony on artificial neural networks through “stochastic optimization” allows them to better balance simplicity and accuracy, extracting meaningful physics from data.
Quick Read: https://www.marktechpost.com/2021/12/21/purdue-university-research-introduces-parsimonious-neural-networks-pnns-that-learn-interpretable-physical-laws-using-machine-learning/
Paper: https://www.nature.com/articles/s41598-021-92278-w?
Tool: https://nanohub.org/resources/pnndemo?
