#work process computerization

[xenosagaepisodeone]

If you're a relatively young person with no degree who is competent using a PC and stuck doing blue collar work, i truly believe that you should just lie about being a recent college grad and apply for admin/entry level desk work. most jobs will filter you if you don't have a degree, so lying about something basic (humanities is probably ideal since theyll assume you have social competence/awareness and a chance of Not Leaving) will at least get your foot in the door. and of course, entry level jobs never check that shit. you can emphasize your experience with computerized systems during the interview process and reference how school helped develop your tech literacy and research/presentation skills. I am insisting this because the world is a better place with computer touchers in it 🫶

[dark-lord-of-awesomeness]

Similar to one of my other asks, Stan gets put into some places(amusement park,zoo, aquarium, idk) system as the 'ai'

And reals a bit of havoc like, oh I don't know, releasing the atractions

And the place shuts down

Lol, I just answered it so this is perfect.

Everything goes almost the same, Stan gets hired, gets shoved into a digital system, works for a while before he realizes he's got nothing to lose by going awol, and releases all control, sending the place into chaos and eventually getting it shut down.

Let's say, since the last one was a theme park, that this is a zoo, specifically one for supernatural creatures. Most of them ran wild then escaped back to wherever they came from or ran wild in the local-

No wait. Better idea. Gravity Falls was once a very normal town, until the 'zoo' set up shop, was up for 4ish years, then all the creatures escaped and started living in the woods. Ford was drawn there because of the incident, wanting to see how so many anomalies would adapt to the different environment. Has very little interest in the zoo itself, as now only the more dangerous creatures live there and he isn't interested in the mechanical failures, not when watching gnomes create a civilization is far more interesting. Fords there for a year or two, cataloging all the creatures, when Fiddleford rolls up.

Because Fiddleford is interested in the abandoned zoo, specifically in the AI they implemented just before the place went haywire. Since Fords an expert on the local wildlife, Fiddleford figured he could guide him to the zoo so Fiddleford could get as much of it as he can salvage, maybe figure out went wrong and fix it up for his own use. Plus, Ford can get some info about the creatures from the zoos data base, maybe learn something new!

They go through the woods, ender the zoo, and it's... pretty alright? Sure there's horror beasts and everything's falling apart, but when the systems working its not stopping them from getting into places and seems to be guiding them away from more dangerous areas? Fiddlefords excited about it, that maybe the AI is still active and wasn't the reason the zoo fell apart like theorists say, that maybe it was some other system failure and it tried to save people!

(Wrong on all that says Stan, watching them from the cameras and a little hurt that Ford thinks he's a robot to steal, but it's fine, Stan's ready to ditch this place yesterday)

Manage to get to the central control area, pull up the Ai, and get assaulted with a wall of text that's Stan, excitedly saying how ready he is to ditch this place, gets a bit awkward when Ford has a breakdown about his computerized brother after the denial phase is done, but let's go and get out of here! He's ready to live in a toaster as long as it's not this sucky place

Very annoyed when the Fords want to investigate everything more, but they do turn the intercoms back on so now Stan can talk to them as they explore the employees side. It's a digitized voice that sounds nothing like him but it's better than nothing. Helps them read all about the unethical experiments that went into keeping a bunch of supernatural creatures captive and turning a human person into an AI. Learn that Stan wasn't their first choice, but he was the only succes so he got uploaded into the system when they couldn't recreate the process.

Bad end, there's no body for Stan to go back to, that things dead and gone, and when they learn Stan's responsible for the zoo going haywire and getting a bunch of people killed the slight hesitation they show in taking him with makes him snap, and now it's Portal up here with a murderous AI out to kill- no wait, he's very sorry. He's not gonna kill his bro and his bros nerd friend!

But they are staying with him forever, so please accept their fate as the zoos newest exhibits so he finally has company. He can't take being alone here any more, and he doesn't care how they feel about it. Fords escape at some point regardless of how successful Stan is at trapping them, and now Fords wracked with guilt over his ai brother and the fact that Stan's technically dead.

Neutral end, Stan's body isn't salvageable, but they get over the zoo thing quickly. Stan gets uploaded into a laptop and Fiddlefords helps to make him a body of some kind, something small to start that over the years gets more complex, until Fords old and grey and Stan stops Fiddleford or anyone from helping him with upkeep, content to not live forever as a robot and go offline for good when Ford passes.

Good end, Stan's body is still there! It's on ice in some fashion, or tubed in Mystery goop, but Ford can reverse the process and re-upload Stan's conscious back into his body and they can all go home :) last minute Horror movie in escaping the derelict zoo, but then it's bro bonding as Stan readjusts to being a person and Ford process the fact that Stan's been here for years, in a days walk from Fords house, and Ford had no idea. Just gonna hold his bro and hyperventilate a little about how close he came to losing his twin. Maybe seek revenge on the people in charge of the zoo when no ones looking.

[lunachats]

tfw ur not an 80% mechanical 20% biological sapient nerve center tethered to a server room at the center of a tangle of wires, your distributed mostly-computerized brain processing terrabytes upon terrabytes of online culture as your servo-whirring catgirl-shaped meatspace form does maintenance work and receives occasional guests when the occasion warrants sufficient drama, formality, and/or intimacy

[my-castles-crumbling]

Hello Cas I've wanted to ask this for a while and I didn't know who to ask and I'm hoping you can help, I see a lot of posts about how we shouldn't allow AI to study fanary and fanfiction and I wanted to k ow why I'm just curious and want to understand I see its a boundary for a lot of people and I don't really get why. I mean nothing hurtful or offensive and I'm sure there is a good reason I just don't know it. Also I wanted to tell you that I think it's soo cool how you do ballroom dancing as a hobby and how much I love your microfics I look forward to them everyday much love ❤️

Hi! No problem at all! There's a few reasons.

First, AI creating fanart and fanfiction is super harmful because it reduces the demand for human-created works. Which is horrible, because humans spend so much time and effort writing and drawing, while AI can do the same in minutes. AI works always have flaws, and by increasing the supply of works, it gives human creators less credit for the amazing and superior work they do, that they spend a lot more time on.

Think of it like fast fashion- people want clothes so bad they'll take the cheap, factory-made stuff, but they don't realize that this causes poorly-made clothes to be the norm, and it takes money (credit) away from designers, workers and everyone else in the industry. (It's also horrible for the planet.)

Creators deserve so much love and credit for what they do, because it isn't easy, and to be replaced in minutes by a machine that creates work that isn't as good is upsetting and insulting, you know? AI gives the illusion that with a few clicks of a button, anyone can instantly create something akin to the work I spent 10 months on, and that's just not true.

Second, using fanfiction to train AI isn't okay because, simply put, it's stealing. If someone uses my writing to train AI, they didn't ask me, and I essentially did labor for them by writing the work they're using- I deserve pay (though I wouldn't want it, I would rather them just not use my work, because of reason three).

Third, it's also important to know the reason why people are so touchy about a lot of fanfiction issues is copyright laws. When we start sell fanfiction, bind and sell fanfiction, etc (which sometimes AI users do) it could bring up issues with copyright infringement, because we're making money from creating work from a copywritten work. This might allow fanfiction to be censored and policed, which would basically ruin the entire thing.

Last, it just takes the humanity from it. Fandom is supposed to be a community. Writers, artists, and readers all work together on so many different forums to create works and discuss their favorite fandoms. To me, it just feels icky that people want to take away that community (intentionally or not) by computerizing the process.

I hope this all makes sense, and feel free to add things, guys!

[covid-safer-hotties]

Also preserved on our archive (please let me know if you've seen the preprint the article mentions. I'd like to read it and I'm having a bit of trouble finding it--and it's not linked in the article... XP)

By Greg Toppo

New working paper is believed to be the first to link weaker memory and diminished ‘flexible thinking’ skills to the pandemic’s academic downturn.

New research may help educators and families zero in on exactly how the COVID-19 pandemic caused such an unprecedented academic slump, suggesting that the culprit lies in something basic and crucial: children’s ability to think, remember and problem-solve.

And here’s a twist: The same core difficulties are bedeviling teachers too.

The findings, contained in a new working paper, are believed to be the first to identify brain changes as an explanation for why students have suffered, both inside and outside the classroom, since the pandemic drove millions out of the classroom.

Nancy Tsai, a Harvard University psychologist who studies the effects of stress on executive functions and who is the study’s lead author, said the new findings offer the first evidence to help us “understand the ‘why’” of the pandemic downturn — “what is actually causing all these issues that we’re seeing and talking about in the news.”

The paper, from the private tutoring firm MindPrint Learning, examines the cognitive skills of students nationwide and finds that, simply put, over the past several years, kids’ famously ever-changing brains have changed for the worse.

Since the pandemic’s onset, students across all ages and economic levels have begun to demonstrate weaker memory and “flexible thinking” skills — those represent the mental bandwidth needed for multitasking, shifting from one activity to another and juggling the day’s demands. But for a few groups, such as younger and lower-income children, the changes have been more profound.

They also show that their teachers’ brains are weaker in almost identical ways, which could help explain high rates of frustration and burnout. They suggest school districts have their work cut out for them if they want to keep their best employees on the payroll and returning to the classroom each fall.

Understanding the ‘why’ of pandemic downturn The data come from a large, widely-used assessment, the Penn Computerized Neurocognitive Battery, developed in 2013 at the University of Pennsylvania. It consists of a series of cognitive tasks that measure subjects’ accuracy and speed in several major cognitive domains, including working memory, abstraction, sustained attention, episodic memory and processing speed.

MindPrint has administered the assessment periodically to its clients over the past decade. The most recent rounds totaled 35,000 students and 4,000 teachers in 27 states.

By most measures, U.S. students are suffering. Last year, NAEP scores showed the average 13-year-old’s understanding of math dropping to levels last seen in the 1990s and reading levels dropping to 1971, when the test was first administered.

More recent research has shown that while older children are showing encouraging signs of academic recovery, younger kids aren’t making the same progress. Many students who weren’t even in a formal school setting when COVID hit are already falling behind — especially in math.

The Penn assessment found that children who attended elementary or pre-school during the pandemic and who are now 8 to13 years old showed the largest declines in memory.

“Younger kids haven’t really developed a lot of these core cognitive skills,” Tsai said. “It hasn’t solidified for them, either through development or just through practice in the classroom. And so younger kids are more vulnerable to these pandemic shifts.”

But students across all age groups showed worse flexible thinking, which researchers now theorize contributes to lower academic performance — as well as challenging behaviors.

Tsai said kids from lower income backgrounds were more vulnerable to these changes, specifically in verbal reasoning and verbal memory, than their higher income peers, with bigger declines in verbal scores, which are highly correlated with academic achievement in all subjects.

Adults in the study had similar declines in both memory and flexible thinking, possibly explaining higher reported levels of teacher dissatisfaction and low morale.

Nancy Weinstein, MindPrint’s CEO, said weaker flexible thinking isn’t necessarily a problem for experienced teachers who have developed strategies to cope with stressful situations and can modify plans on the fly. But those with less experience may be unable to change gears when lessons go astray or students act out in class. That may lead to higher teacher burnout.

Across the board, teachers’ skills suffered in areas such as verbal and abstract reasoning, spatial perception, attention and working memory, but they saw the greatest losses in verbal memory and flexible thinking.

“If we care about that, we need to know how to help them,” Weinstein said. “And there are some tried and true things you can do.”

She said schools should consider sharing data like this with teachers so they can understand that their frustration in class might not be due to students alone. That could make a big difference, she said, in “their willingness to put in the effort to change, as opposed to saying, ‘Why bother?’”

For students, Weinstein said, offering them more opportunities to practice skills with breaks and rest between study sessions could help. Schools should also consider “scaffolded memorization” techniques that break learning into chunks and address each individually.

Could such techniques help students — and teachers — regain a measure of pre-pandemic skills? Weinstein suggests the answer is “Yes.”

“The environment will matter, but certainly we can regain some of that if we do the right things,” she said. “And we know what the right things are to do.”

Crystal Green-Braswell, coordinator of staff wellness and culture for the Little Rock School District in Arkansas, said offering the Penn assessment to teachers and staff has helped many think more deeply about their work — and about their own thinking.

“People who have had the assessment will say, ‘Now, you know my processing speed is slower — y’all are going to have to give me a moment,’” she said.

That’s a huge change in a profession in which most workers have been asked “to take ourselves out of the equation and just get the work done,” Green-Braswell said.

She sees offering such insights to educators as part of “rehumanizing” teaching. “When we provide this kind of assessment and we provide this kind of space for folks to actually get to know themselves, we are humanizing this profession and helping people to realize, ‘You play a role. You play an active role. You matter.’ ”

[dzamie]

Detecting AI-generated research papers through "tortured phrases"

So, a recent paper found and discusses a new way to figure out if a "research paper" is, in fact, phony AI-generated nonsense. How, you may ask? The same way teachers and professors detect if you just copied your paper from online and threw a thesaurus at it!

It looks for “tortured phrases”; that is, phrases which resemble standard field-specific jargon, but seemingly mangled by a thesaurus. Here's some examples (transcript below the cut):

profound neural organization - deep neural network

(fake | counterfeit) neural organization - artificial neural network

versatile organization - mobile network

organization (ambush | assault) - network attack

organization association - network connection

(enormous | huge | immense | colossal) information - big data

information (stockroom | distribution center) - data warehouse

(counterfeit | human-made) consciousness - artificial intelligence (AI)

elite figuring - high performance computing

haze figuring - fog/mist/cloud computing

designs preparing unit - graphics processing unit (GPU)

focal preparing unit - central processing unit (CPU)

work process motor - workflow engine

facial acknowledgement - face recognition

discourse acknowledgement - voice recognition

mean square (mistake | blunder) - mean square error

mean (outright | supreme) (mistake | blunder) - mean absolute error

(motion | flag | indicator | sign | signal) to (clamor | commotion | noise) - signal to noise

worldwide parameters - global parameters

(arbitrary | irregular) get right of passage to - random access

(arbitrary | irregular) (backwoods | timberland | lush territory) - random forest

(arbitrary | irregular) esteem - random value

subterranean insect (state | province | area | region | settlement) - ant colony

underground creepy crawly (state | province | area | region | settlement) - ant colony

leftover vitality - remaining energy

territorial normal vitality - local average energy

motor vitality - kinetic energy

(credulous | innocent | gullible) Bayes - naïve Bayes

individual computerized collaborator - personal digital assistant (PDA)

[sweet7simple]

Terms and definitions that you can maybe apply to your fan works

I don't know anything about computer or mechanical engineering (it's very funny to me that I am in the Transformers fandom and I don't even care about cars), but I do care about improving my writing. I have gathered a list of terms that sound very sciencey and applicable to mechs, some from Martha Wells's "Murderbot Diaries," some from fanfiction/fandom (shout-out to the Crime in Crystals series by Aard_Rinn and Baebeyza, they wrote Transformers better than any Transformers comic/TV show did), and a lot from just surfing through Google and going, "well, what the hell is this? Okay, but what the hell is THAT?".

Also, as I was writing this post, I ended up getting sucked into this article:

And this really bloated my already long list of terms. Very easy to read if you want to glance it over yourself.

It's not an exhaustive list and who knows if it will be useful to you - but maybe you can reblog with your own add-ons of terms and definitions you think make a Transformers fan work just that much better.

The list is below the cut:

100% CPU Load - CPU is fully occupied with too many processors/applications/drivers/operations - not necessarily synonymous with an overload.

Actuators* - A device that causes a machine or other device to operate (Ex: a computerized unit instructs the actuator how to move the tires on a vehicle); create linear and rotary movement (Ex: A hydraulic actuator on a valve will move that valve in response to a sensor/signal); Linear actuators "move a piston back and forth inside a cylinder to build pressure and 'actuate', or complete an action".

* Think of actuators as devices that help produce linear motion and motors as devices that help produce rotational movement. Hence, some consider actuators as a type of motor. But a motor is not a type of actuator (jhfoster.com).

Alternator - Converts mechanical energy to electrical energy with an alternating current. The stator and rotor inside the alternator work as magnets and rotate to generate the alternating current. Then the alternating current (AC) is transformed into a direct current (DC) that charges the battery.

Archive (Archive files) - used to collect multiple data files together into a single file for easier portability and storage, or simply to compress files to use less storage space.

Arithmetic Log Unit (ALU) - the part of a central processing unit that carries out arithmetic and logic operations on the operands in computer instruction words. In some processors, the ALU is divided into two units: an arithmetic unit (AU) and a logic unit (LU).

Augment - Make something greater; increase.

Auxiliary Battery - Designed to run as a backup to the starting battery and provide power to some essential equipment like engine start/stop and other systems that require power while the engine is off to put less strain on the main battery and alternator.

Bandwidth - A measurement indicating the maximum capacity of a wired or wireless communications link to transmit data over a network connection in a given amount of time.

Behavioral Coding - A term used in Martha Wells' Murderbot Diaries; essential, code for behaviors.

Branch Instructions - Use programming elements like if-statements, for-loops, and return-statements; used to interrupt the program execution and switch to a different part of the code.

Branch Predictors - Track the status of previous branches to learn whether or not an upcoming branch is likely to be taken or not.

Buffer - A region of memory used to store data temporarily while it is being moved from one place to another.

Cathodes vs Anodes - Cathodes are the positive electrode while the anode is the negative electrode; electrons flow from the anode to the cathode and this creates the flow of electric charge in a battery or electrochemical cell.

Catastrophic Failure - Complete, sudden and unexpected breakdown in a machine, indicating improper maintenance.

Central Processing Unit (CPU) - Primary component of a computer that acts as its "control center"; complex set of circuitry that runs the machine's operating systems and apps; the brains of the computer. * Components: Instruction Set Architecture (ISA), Control Unit (CU), Datapath, Instruction Cycle, Registers, Combinational Logic, the Arithmetic Logic Unit (ALU), etc...

Clock - Determines how many instructions a CPU can process per second; increasing its frequency through overclocking will make instructions run faster, but will increase power consumption and heat output.

Combustion Chambers - An enclosed space in which combustion takes place, such as an engine; jet engines also have combustion chambers.

Condition Codes - Extra bits kept by a processor that summarize the results of an operation and that affect the execution of later instructions.

Control Bus - Manages the communication between the computer's CPU and its other components.

Control Unit (CU) - Manages the execution of instructions and coordinates data flow within the CPU and between other computer components.

Cybermetal - Element native to Cybertron and Cybertron alone.

Datapath - The path where data flows as it is processed; receives input, processes it, and sends it out to the right place when done processing; datapaths are told how to operate by the CU; depending on instructions, a datapath can route signals to different components, turn on and off different parts of itself, and monitor the state of the CPU.

Diagnostic and Data Repair Sequence - Term used in Martha Wells' Murderbot Diaries; exactly what it sounds like.

Diode - A semiconductor device with two terminals (a cathode and an anode), typically allowing the flow of current in one direction only.

Discrete Circuit vs Integrated Circuit- Single device with a single function (ex: Transistor, diode) vs Devices with multiple functional elements on one chip (ex: Memories, microprocessor IC and Logic IC).

Drivers - A set of files that help software (digital components, such as Microsoft Office) interface/work with hardware (physical components, such as a keyboard); allows an operating system and a device to communicate.

Electromagnetic (EM) Field - A combination of invisible electric and magnetic fields of force; used in fandom by mechs to broadcast emotions to others.

Flags - A value that acts as a signal for a function or process. The value of the flag is used to determine the next step of a program; flags are often binary flags which contain a boolean value (true or false).

Full Authority Digital Engine Control (FADEC) - Consists of an electronic control unit (ECU) and related accessors that control aircraft engine performances.

Gestation Tank - Used in mech pregnancies, you can pry it from my cold, dead hands.

Heads Up Display (HUD) - A part of the user interface that visually conveys information to the player during gameplay.

Heat Spreader - Often used in computer processors to prevent them from overheating during operation; transfers energy as heat from a hotter source to a colder heat sink or heat exchanger.

HUB - A device that connects multiple computers and devices to a local area network (LAN).

Inductive Charging - How I imagine berths work; wireless power transfer (ex: Wireless charger or charging pad used for phones).

Instruction Cycle - Also known as fetch-decode-execute cycle; basic operation performed by a CPU to execute an instruction; consists of several steps, each of which performs a specific function in the execution of the instruction.

Instruction Set Architecture (ISA) - The figurative blueprint for how the CPU operates and how all the internal systems interact with each other (I think of it like a blueprint for the brain).

Irising - Term used in fanfiction (specifically the Crime in Crystals series) to describe the action of the of the spark chamber opening ("The Talk", chapter 6, my absolute favorite chapter out of the entire series). I just really liked how the word sounded in that context.

Life Codes - "For those of us who were forged, Primus, through Vector Sigma, generated a pulse wave. Each one a data-saturated life code faster than thought, brighter than light, racing across Cybertron, sowing sparks..." (~Tyrest/Solomus, Volume 5 of More Than Meets the Eye)

Memory Hierarchy - Represents the relationship between caches, RAM, and main storage; when a CPU receives a memory instruction for a piece of data that it doesn't yet have locally in its registers, it will go down the memory hierarchy until it finds it.

Levels: L1 cache (usually smallest and fastest), L2 cache, L3 cache, RAM, and then main storage (usually biggest and slowest); available space and latency (delay) increase from one level to the next

Depending on the multi-core (a core is usually synonymous with a CPU) system, each core will have its own private L1 cache, share an L2 with one other core, and share an L3 with more or more cores.

Motors* - Any power unit that generates motion; electric motors work by converting electrical energy into mechanical energy... when this happens within a magnetic field, a force is generated which causes shaft rotation.

Multitasking Operating System - Allows users to run multiple programs and tasks almost simultaneously without losing data; manage system resources (such as computer memory and input/output devices), allocate resources, enable multiple users, and eliminate long wait times for program execution.

Network - A set of computers sharing resources located on or provided by network nodes. Computers use common communication protocols over digital interconnections to communicate with each other.

Network Feed - The continuously updating stream of content that users encounter on networking platforms.

Neural Network - A type of machine learning process that uses interconnected nodes (like neurons) to teach computers to process data in a way similar to the human brain; a form of deep learning that can help computers learn from their mistakes and improve their time.

Nimbus - A luminous cloud or a halo surrounding a supernatural being or a saint; has been used in fanfiction synonymously or in junction with the corona of the spark.

Nodes - A connection point between devices that allows data to be sent and received between them.

Oil Sump/Oil Pan - Don't forget to change your mech's oil.

Out-Of-Order Execution - A paradigm used to minimize downtime while waiting for other instructions to finish; allows a CPU to choose the most timely instructions to execute out of an instruction queue.

Overload - Orgasm; an electrical overload occurs when too much electricity passes through a circuit, exceeding its capacity; an information overload is when a system receives more input than it can process, or a state of being overwhelmed by the amount of data presented for processing.

Pedes - Feet

Pipelining - A technique used in computer architecture that allows a processor to execute multiple instructions simultaneously, improving overall performance.

Processing Capacity - The ability and speed of a processor, and how many operations it can carry out in a given amount of time.

Program Counter - A special register in a computer processor that contains the memory address (location) of the next program instruction to be executed.

Programmable Nanobots/Nanites - Cybertronian microbots programmed to do work at the molecular level; used popularly for surface healing and pigment in mechs.

Protected Storage - Provides applications with an interface to store user data that must be kept secure or free from modification; a storage method; a function in mainframe hardware.

Protoform - Formed of an ultra-dense liquid metal and are extremely hard to damage; the most basic Cybertronian form of raw, free-flowing living metal; first stage of Cybertronian life cycle

To create a Cybertronian, you need the protoform, the life-giving spark, and alt-form information.

Register - A type of computer memory built directly into the processor or CPU that is used to store and manipulate data during the execution of instructions.

Ex: "When you run a .exe on Windows... the code for that program is moved into memory and the CPU is told what address the first instruction starts at. The CPU always maintains an internal register that holds the memory location of the next instruction to be executed [the Program Counter]"...

Resource Allocations - The process of identifying and assigning available resources to a task or project to support objectives.

Risk Assessment - Focus on identifying the threats facing your information systems, networks, and data and assessing the potential consequences should these adverse events occur.

Routine - A component of a software application that performs a specific task (ex: Saving a file).

Servomechanism - A powered mechanism producing motion or force at a higher level of energy than the input level (ex: In the brakes and steering of large motor vehicles) especially where feedback is employed to make the control automatic.

Servos - Hands

Shellcode - A small piece of executable code used as a payload, built to exploit vulnerabilities in a system or carry out malicious commands. The name comes from the fact that the shellcode usually starts a command shell which allows the attacker to control the compromised machine.

Semiconductor - A material used in electrical circuits and components that partially conduct electricity.

Semiconductor materials include silicon, germanium, and selenium.

Struts - Bones; A rod or bar forming part of a framework and designed to resist compression.

System/System Unit (in computers) - A setup that consists of both hardware and software components organized to perform complex operations/The core of your computer where all the processing happens.

Task Specific Accelerator - Circuits designed to perform one small task as fast as possible (ex: Encription, media encoding & machine learning).

Teek - Used in Transformers fandom in conjunction with EM Fields; when a mech "teeks" another mech's field, they are feeling the emotions that mech is broadcasting.

Transistor - Enables a computer to follow instructions to calculate, compare and copy data.

Universal Serial Bus (USB) - A standard plug-and-play interface that allows computers and peripheral devices to connect with each other, transfer data, and share a power source; allows data exchange and delivery of power between many types of electronics; plug-and-play interface is also a type of sexual activity used in fandom.

Warren - Used to refer to a group of minibots with their own social hierarchy and culture (Seriously, read the Crime in Crystals series, it's better than canon).

[xtruss]

Evelyn Berezin in 1976 at the Long Island office of her company Redactron. She developed one of the earliest word processors and helped usher in a technological revolution. Evelyn Berezin said her word processor would help secretaries become more efficient at their jobs. Photo By Barton Silverman/New York Times.

Evelyn Berezin, “Godmother of the Word Processor!” The Woman That Made Bill Gates and Steve Jobs Possible

Evelyn Berezin (1925-2018) was born in the Bronx to poor Russian-Jewish immigrants. Growing up, she loved reading science fiction and wished to study physics. She excelled at school and graduated two years early. Berezin had to wear make-up and fake her age to get a job at a research lab. She ended up studying economics because it was a more “fitting” subject for women at the time. During World War II, she finally received a scholarship to study physics at New York University. Berezin studied at night, while working full time at the International Printing Company during the day. She continued doing graduate work at New York University, with a fellowship from the US Atomic Energy Commission. In 1951, she joined the Electronic Computer Corporation, designing some of the world’s very first computers. At the time, computers were massive machines that could only do several specific functions.

Evelyn Berezin, “Godmother of the Word Processor.” Born: April 12, 1925, The Bronx, New York City, NY — Died: December 8, 2018, ArchCare at Mary Manning Walsh Nursing Home & Rehabilitation Center, New York, NY

Berezin headed the Logic Design Department, and came up with a computer to manage the distribution of magazines, and to calculate firing distances for US Army artillery. In 1957, Berezin transferred to work at Teleregister, where she designed the first banking computer and the first computerized airline reservation system (linking computers in 60 cities, and never failing once in the 11 years that it ran). Her most famous feat was in 1968 when she created the world’s first personal word processor to ease the plight of secretaries (then making up 6% of the workforce).

“Without Ms. Berezin There Would Be No Bill Gates, No Steve Jobs, No Internet, No Word Processors, No Spreadsheets; Nothing That Remotely Connects Business With The 21st Century.” — The Times of Israel (12 December 2018)

The following year, she founded her own company, Redactron Corporation, and built a mini-fridge-sized word processor, the “Data Secretary”, with a keyboard and printer, cassette tapes for memory storage, and no screen. With the ability to go back and edit text, cut and paste, and print multiple copies at once, Berezin’s computer freed the world “from the shackles of the typewriter”. The machine was an in instant hit, selling thousands of units around the world. Berezin’s word processor not only set the stage for future word processing software, like Microsoft Word, but for compact personal computers in general. It is credited with being the world’s first office computer. Not surprisingly, it has been said that without Evelyn Berezin “there would have been no Bill Gates, and no Steve Jobs”.

Evelyn Berezin Pioneered Word Processors and Butted Heads With Men! A ‘loud woman,’ she studied physics and found that to get to the top she had to start her own company. Evelyn Berezin later became a mentor to entrepreneurs, venture capitalist and director of companies. Photo: Berezin Family. Wall Street Journal

“Why Is This Woman Not Famous?” British Writer Gwyn Headley Wrote In A 2010 Blog Post. — The Times of Israel

Redactron grew to a public company with over 500 employees. As president, she was the only woman heading a corporation in the US at the time, and was described as the “Most Senior Businesswoman in the United States”. Redactron was eventually bought out by Burroughs Corporation, where Berezin worked for several more years. In 1980, she moved on to head a venture capital group investing in new technologies. Berezin served on the boards of a number of organizations, including Stony Brook University and the Brookhaven National Laboratory, and was a sought-after consultant for the world’s biggest tech companies.

She was a key part of the American Women’s Economic Development Corporation for 25 years, training thousands of women in how to start businesses of their own, with a success rate of over 60%. In honour of her parents, she established the Sam and Rose Berezin Endowed Scholarship, paying tuition in full for an undergraduate science student each year. Sadly, Berezin passed away earlier this month. She left her estate to fund a new professorship or research centre at Stony Brook University. Berezin won multiple awards and honourary degrees, and was inducted into the Women in Technology International Hall of Fame.

[beardedmrbean]

Scientists have developed a device that can translate thoughts about speech into spoken words in real time.

Although it’s still experimental, they hope the brain-computer interface could someday help give voice to those unable to speak.

A new study described testing the device on a 47-year-old woman with quadriplegia who couldn’t speak for 18 years after a stroke. Doctors implanted it in her brain during surgery as part of a clinical trial.

It “converts her intent to speak into fluent sentences,” said Gopala Anumanchipalli, a co-author of the study published Monday in the journal Nature Neuroscience.

Other brain-computer interfaces, or BCIs, for speech typically have a slight delay between thoughts of sentences and computerized verbalization. Such delays can disrupt the natural flow of conversation, potentially leading to miscommunication and frustration, researchers said.

This is “a pretty big advance in our field,” said Jonathan Brumberg of the Speech and Applied Neuroscience Lab at the University of Kansas, who was not part of the study.

A team in California recorded the woman’s brain activity using electrodes while she spoke sentences silently in her brain. The scientists used a synthesizer they built using her voice before her injury to create a speech sound that she would have spoken. They trained an AI model that translates neural activity into units of sound.

It works similar to existing systems used to transcribe meetings or phone calls in real time, said Anumanchipalli, of the University of California, Berkeley.

The implant itself sits on the speech center of the brain so that it’s listening in, and those signals are translated to pieces of speech that make up sentences. It’s a “streaming approach,” Anumanchipalli said, with each 80-millisecond chunk of speech — about half a syllable — sent into a recorder.

“It’s not waiting for a sentence to finish,” Anumanchipalli said. “It’s processing it on the fly.”

Decoding speech that quickly has the potential to keep up with the fast pace of natural speech, said Brumberg. The use of voice samples, he added, “would be a significant advance in the naturalness of speech.”

Though the work was partially funded by the National Institutes of Health, Anumanchipalli said it wasn’t affected by recent NIH research cuts. More research is needed before the technology is ready for wide use, but with “sustained investments,” it could be available to patients within a decade, he said.

[tonigelardi]

The Role of AI in Content Moderation: Friend or Foe?

Written by: Toni Gelardi © 2025

A Double-Edged Sword on the Digital Battlefield The task of regulating hazardous information in the huge, chaotic realm of digital content, where billions of posts stream the internet every day, is immense. Social media firms and online platforms are always fighting hate speech, misinformation, and sexual content. Enter Artificial Intelligence, the unwavering, dispassionate guardian of the digital domain. But is AI truly the hero we need, or is it a silent monster manipulating online conversation with invisible prejudice and brutal precision? The discussion rages on, and both sides present convincing reasons. --- AI: The Saviour of Digital Order. Unmatched speed and scalability. AI is the ideal workhorse for content filtering. It can analyze millions of posts, images and movies in seconds, screening out potentially hazardous content before a human can blink. Unlike human moderators, who are limited by weariness and mental health problems, AI may labor nonstop without becoming emotionally exhausted. The Effectiveness of Machine Learning Modern AI systems do more than just follow pre-set rules; they learn. They use machine learning algorithms to constantly improve their detection procedures, adjusting to new types of damaging information, developing language, and coded hate speech. AI can detect trends that humans may overlook, making moderation more precise and proactive rather than reactive.

A shield against human trauma. A content moderator's job is frequently described as soul-crushing, as it involves exposing people to graphic violence, child exploitation, and extreme hate speech every day. AI has the ability to serve as the first line of defense, removing the most upsetting content before it reaches human eyes and limiting psychological harm to moderators. How Can We Get Rid of Human Bias? AI, unlike humans, does not have personal biases—at least in theory. It does not take political sides, harbor grudges, or use double standards. A well-trained AI model should follow the same rules for all users, ensuring that moderation measures are enforced equally.

The Future Of Content

Moderation as technology progresses, AI moderation systems will become smarter, more equitable, and contextually aware. They might soon be able to distinguish between satire and genuine hate speech, news and misinformation, art and explicit content with near-human precision. With continuous improvement, AI has the potential to be the ideal digital content protector.

AI: The Silent Tyrant of the Internet.

The Problem of False Positives AI, despite its brilliance, lacks human nuance. It cannot fully comprehend irony, cultural differences, or historical context. A well-intended political discussion may be labeled as hate speech, a joke as harassment, or a work of art as pornography. Countless innocent posts are mistakenly erased, leaving people unhappy and powerless to challenge the computerized judge, jury, and executioner.

AI lacks emotional intelligence and context awareness. A survivor of abuse sharing their story might be flagged for discussing violent content. An LGBTQ+ creator discussing their identity might be restricted for “adult content.” AI cannot differentiate between hate speech and a discussion about hate speech—leading to unjust bans and shadowbanning.

The Appeal Black Hole: When AI Moderation Goes Wrong

When artificial intelligence (AI) makes a mistake, who do you appeal to? Often, the answer is more AI. Many platforms rely on automated systems for both content moderation and appeals, creating a frustrating cycle where users are left at the mercy of an unfeeling algorithm. Justice feels like an illusion when humans have no voice in the process.

Tool for Oppression?

Governments and corporations wield AI-powered moderation like a digital scalpel, capable of silencing dissent, controlling narratives, and shaping public perception. In authoritarian regimes, AI can be programmed to suppress opposition, flag political activists, and erase evidence of state crimes. Even in democratic nations, concerns arise about who gets to decide what constitutes acceptable speech.

The Illusion of Progress

Despite its advancements, AI still requires human oversight. It cannot truly replace human moderators, only supplement them. The idea of a fully AI-moderated internet is a dangerous illusion, one that could lead to mass censorship, wrongful takedowns, and the loss of authentic human discourse.

Friend or Foe?

The answer, as always, is both. AI is an indispensable tool in content moderation, but it is not a perfect solution. It is neither a savior nor a villain—it is a force that must be wielded with caution, oversight, and ethical responsibility.

The future of AI in moderation depends on how we build, regulate, and integrate it with human judgment. If left unchecked, it risks becoming an unaccountable digital tyrant. But if developed responsibly, it can protect online spaces while preserving the freedom of expression that makes the internet what it is.

The real question isn't whether AI is good or bad—it's whether we can control it before it controls us.

[thecollisionshopbrownstown]

How to Choose the Best Auto Body Shop After an Accident: Key Factors to Consider

Getting into an accident is stressful, and finding the right auto body shop to repair your vehicle can feel overwhelming. With so many options available, it’s important to choose a reputable shop that provides high-quality service, fair pricing, and excellent customer support. Here are key factors to consider when selecting the best auto body shop after an accident.

1. Check for Certifications and Experience

Reputable auto body shops have industry certifications that demonstrate their commitment to quality and professionalism. Look for certifications such as ASE (Automotive Service Excellence) or I-CAR (Inter-Industry Conference on Auto Collision Repair). Experience is another crucial factor—shops with years of expertise are more likely to deliver top-notch results.

2. Read Reviews and Ask for Recommendations

Online reviews can provide valuable insights into a shop’s reputation. Check Google Reviews, Yelp, and BBB (Better Business Bureau) ratings. Additionally, ask friends, family, or coworkers for recommendations based on their personal experiences.

3. Confirm Insurance and Warranty Policies

A trustworthy auto body shop will work with your insurance provider to streamline the claims process. Ask whether the shop offers a warranty on their repairs—reputable shops often provide a lifetime warranty on workmanship and paint.

4. Inspect the Facility and Equipment

Visit the shop in person to assess cleanliness, organization, and the type of equipment used. Modern shops use advanced tools such as computerized frame straightening and paint-matching technology, ensuring precision in repairs.

5. Request a Detailed Estimate

A reliable shop will provide a transparent, itemized estimate for repairs, labor, and parts. Be cautious of extremely low quotes, as they may indicate the use of subpar materials or shortcuts in repair work.

6. Evaluate Customer Service

Excellent customer service is a good indicator of a shop’s reliability. Pay attention to how the staff communicates, whether they explain the repair process clearly, and if they provide updates on your vehicle’s status.

7. Consider Additional Services

Some auto body shops go the extra mile by offering additional perks such as:

Free estimates

Towing services

Rental car assistance

Help with deductible payments

8. Look for Local Expertise

Choosing a local shop with strong community ties can be beneficial. A business that relies on local reputation is more likely to prioritize quality service and customer satisfaction.

Selecting the right auto body shop after an accident requires careful consideration. By evaluating certifications, reviews, warranty policies, and customer service, you can ensure that your vehicle is repaired properly and safely. Don’t rush the decision—take the time to choose a shop that meets your needs and guarantees high-quality repairs.

If you’re in Brownstown, MI, and need collision repair services, consider The Collision Shop of Brownstown. With years of experience, certified technicians, and a commitment to customer satisfaction, they provide top-tier auto body repairs with a lifetime warranty. Contact them today for a free estimate!

[usafphantom2]

Lockheed, Skunk Works proposed an airframe that could reach an extreme velocity of Mach 3.2 at near-space altitudes. At the same time, it could maintain an exceptionally low cross-radar signature that would make it difficult for enemies to track.

Before the Blackbird, titanium was used sparingly—usually on high-temperature exhaust fairings and other small parts directly related to supporting, cooling, or shaping high-temperature areas on aircraft. The Blackbird was utterly different. This plane was primarily made out of titanium, about eighty-five percent, to be more precise. The other fifteen percent was high-end composite materials. At the time, in the 1960s, computerized equipment was non-existent, so not only was the cockpit unsurprisingly analog.

According to Kelly Johnson, one of the most significant problems engineers faced at the time was working with titanium. “We produced 6,000 parts, and of them, fewer than ten percent were any good. The material [titanium] was so brittle that if you dropped a piece on the floor, it would shatter”, he explained. Ordinary drills were useless with titanium because, after about seventeen rivet holes, the drill would be destroyed. Yet another obstruction occurred during the welding process. They eventually figured out that if an extremely rare and expensive argon shielding gas was used, they could ensure the highest quality of welds.

Blackbirds could survey 100,000 square miles per hour of Earth’s surface from an altitude of 80,000 feet. Many of these missions were over conflict countries, such as the Middle East, Asia, and much of Europe. Of the thirty-two aircraft that were built, twelve of those were lost. None of those, however, were lost due to enemy military retaliation, which is an impressive feat.

Paraphrase and corrected by Linda Sheffield from the Vintage news, Ian Harvey

@Habubrats71 via X

[justinspoliticalcorner]

Doktor Zoom at Wonkette:

Right-wing fans of Donald Trump and de facto President Elon Musk have discovered yet another example of the most outrageous hypocrisy on the part of Democrats since that time Joe Biden petted a search dog in Maui and libs did nothing to stop him. The new supposed hypocrisy stems from some right-wing idiots rediscovering the fact that during the Clinton administration, then-Vice President Al Gore led a “Reinventing Government” commission (formally called the “National Partnership for Reinventing Government,” often shortened to “ReGo”). And that commission sought to streamline government operations and cut down on waste, exactly like Elon Musk’s DOGE thing! But instead of calling Gore’s ReGo project a “constitutional crisis,” nasty Democrats and Big Corporate Media cheered it for cutting waste and inefficiency! Even after it resulted in the elimination of some 380,000 jobs!!!!!!!1!! But when Elon Musk does the very same thing, all we hear about is laid off workers and starving children and the “nuclear stockpile” not being “kept safe”! — What a bunch of deranged hypocrites! [...] We won’t go into all the details of how Reinventing Government is different from Musk’s wrecking crew, because while there are plenty, they mostly stem from a single key distinction: ReGo was a carefully thought out government process that stayed within the law, involving both Congress and the agencies that were going to be affected. At no point did Al Gore invite a team of unvetted employees of Clinton’s biggest campaign donor to simply run roughshod through federal agencies, firing thousands of people at whim and declaring them corrupt. Really, he didn’t! [...]

Reinventing And Blowing Shit Up Are Different

Let’s just start with a great big obvious difference, which matters a lot: Al Gore was elected to office, unlike some prancing dipshit billionaires we could name here (Gore also leaned into his woodenness, as a decent white man who can’t dance should). Now, as Subpresident Trump has amply demonstrated in just one month (happy anniversary, fuckface), being elected doesn’t guarantee you’ll act within the law, but Gore’s efforts were, from the start, very much in line with how previous government commissions worked. The effort started right after Clinton and Gore took office, in March 1993, with an almost relentlessly normal process called the “National Performance Review,” even though the abbreviation sometimes confused Car Talk fans. It was a six-month review that included both government agencies and input from the public, which resulted in a formal report that made some 400 recommendations for making the federal government more efficient, through things like computerizing many processes, possibly combining some agencies, and yes, cutting staff.

Right-wingers are playing false equivalence games with Al Gore’s Reinventing Government commission and Elon Musk’s so-called “Department of Government Efficiency” (DOGE). Fact is this: Gore’s ReGo commission operated within the bounds of the law, while DOGE is operating lawlessly.

[realinspirations]

27 Must-Have Productivity Apps for Entrepreneurs

 Entrepreneurs are usually looking for methods to maximise their time and performance. Whether you're coping with initiatives, collaborating with a group, or truly trying to stay organized, the right productiveness apps could make all the distinction. Here are some of the quality productiveness apps for marketers in 2024, categorized with the aid of their capabilities.

Best productivity apps for busy entrepreneurs

Task and Project Management Apps

1. Trello

Trello is a visually attractive and consumer-friendly venture control device that uses a board-and-card machine to help you arrange obligations. It lets in you to create distinctive forums for numerous tasks, set due dates, and collaborate along with your team in actual time. Trello’s drag-and-drop functionality makes coping with projects convenient.

2. Asana

Asana is an exceptional preference for marketers managing more than one projects right away. It helps song obligations, assign obligations, and set time limits. With a established list or board view, Asana guarantees that not anything falls thru the cracks.

Three. Monday.Com

Monday.Com is an all-in-one paintings running device that provides customizable workflows, automation, and integrations. Entrepreneurs can track mission development, manage their group’s workload, and automate repetitive responsibilities, making it an invaluable tool for productivity.

Time Management Apps

four. Toggl Track

Toggl Track is an tremendous app for monitoring the time spent on one of a kind duties and projects. Entrepreneurs can use it to pick out where their time is going, enhance productivity, and make sure they're billing customers accurately.

5. RescueTime

RescueTime facilitates you recognize your each day behavior with the aid of monitoring how a lot time you spend on numerous apps and web sites. It offers insights into your most effective hours and offers features like computerized time tracking and aim setting.

6. Clockify

Clockify is some other extraordinary time-monitoring device, especially for entrepreneurs running with groups. It presents specific reviews on work hours and productivity, making it simpler to manage tasks efficaciously.

Note-Taking and Documentation Apps

7. Evernote

Evernote is a powerful be aware-taking app that lets in entrepreneurs to put in writing thoughts, clip internet pages, and prepare thoughts into notebooks. With a sturdy search feature and the ability to sync throughout devices, Evernote is a must-have for business proprietors who need to preserve music in their ideas.

8. Notion

Notion is a flexible workspace that mixes observe-taking, task control, databases, and collaboration tools. Entrepreneurs can create dashboards, record processes, and collaborate with their crew in a single platform.

9. OneNote

Microsoft OneNote is some other superb notice-taking device with a virtual notebook interface. It’s exceptional for marketers who decide on a extra conventional, paper-like experience at the same time as taking notes.

Communication and Collaboration Apps

10. Slack

Slack is a famous communication device that makes group collaboration seamless. With channels, direct messages, and integrations with different equipment like Trello and Google Drive, Slack guarantees that conversation stays green and prepared.

Eleven. Microsoft Teams

For marketers the use of Microsoft 365, Microsoft Teams is an notable alternative for conversation and collaboration. It gives chat, video conferencing, and file sharing, making far off teamwork easy.

12. Zoom

Zoom is the cross-to video conferencing device for entrepreneurs who need to host meetings, webinars, and virtual events. With notable video and audio, display screen sharing, and recording options, Zoom is a need to-have.

Finance and Accounting Apps

13. QuickBooks

QuickBooks is one of the fine accounting software program for entrepreneurs. It allows song earnings and fees, manage invoices, and generate financial reports, making it easier to address enterprise finances.

14. FreshBooks

FreshBooks is another extraordinary accounting device, mainly for freelancers and small commercial enterprise proprietors. It gives invoicing, expense monitoring, and time tracking functions, making sure easy economic control.

15. Wave

Wave is a free accounting and invoicing tool designed for marketers and small business owners. It’s brilliant for managing coins drift without incurring excessive prices.

Automation and Workflow Apps

sixteen. Zapier

Zapier is an automation tool that connects extraordinary apps to create workflows, saving entrepreneurs hours of manual paintings. With Zapier, you can automate responsibilities like sending emails, updating spreadsheets, and managing consumer data.

17. IFTTT

IFTTT (If This Then That) permits entrepreneurs to create automation between special apps and devices. For instance, you could automate social media posting or set reminders primarily based on certain triggers.

Marketing and Social Media Management Apps

19. Buffer

Buffer is a social media scheduling device that lets in entrepreneurs to devise and put up posts throughout one of a kind systems. It also presents analytics to assist song engagement and overall performance.

20. Hootsuite

 Hootsuite is every other effective social media control device that helps agenda posts, display brand mentions, and analyze social media overall performance.

21. Canva

Canva is a photograph layout tool that allows marketers to create marketing substances, social media posts, and displays without difficulty. With customizable templates and drag-and-drop features, it simplifies the design technique.

Cloud Storage and File Management Apps

22. Google Drive

Google Drive presents stable cloud storage and smooth record sharing. Entrepreneurs can store, get right of entry to, and collaborate on files, spreadsheets, and shows in real time.

23. Dropbox

Dropbox is some other cloud garage solution that makes it easy to save and share documents securely with a crew. It integrates with various productiveness apps to streamline workflows.

24. OneDrive

For marketers using Microsoft products, OneDrive is an splendid cloud storage solution that seamlessly integrates with Office apps.

Mindfulness and Focus Apps

25. Headspace

Entrepreneurship can be stressful, and Headspace facilitates entrepreneurs exercise mindfulness and meditation to live targeted and reduce strain.

26. Forest

Forest is a focal point app that encourages marketers to stay off their phones by means of growing a digital tree at the same time as they work. If they go away the app, the tree dies—motivating them to live focused.

27. Noisli

Noisli provides heritage sounds to enhance cognizance and productivity. Whether you opt for white noise, rain sounds, or a coffee store atmosphere, Noisli facilitates create the proper paintings environment.

[autopulsegarage]

The Enduring Charm of Old Cars: A Window to the Past

Old cars, often celebrated as classic or vintage vehicles, hold an irreplaceable charm that captivates automobile lovers and collectors alike. These vehicles are not just modes of transport but also artifacts of history, reflecting the design, culture, and engineering of their time. This article delves into the timeless appeal of old cars, their significance, and why they continue to enchant people in the modern era.

Timeless Designs That Turn Heads

Old cars are masterpieces of design, standing apart from today’s streamlined, standardized vehicles. Each vintage car showcases unique craftsmanship, from the bold curves of 1930s sedans to the aggressive lines of 1960s muscle cars. These cars were designed not just for function but to make a statement.

The materials used in these vehicles, like polished chrome accents, hand-stitched leather interiors, and elegant wooden trim, further highlight their beauty. Unlike modern cars, where mass production often sacrifices individuality, old cars are works of art that reflect the creativity of their era.

A Journey Through History

Vintage cars are like time machines, offering a glimpse into the past. Each model tells a story about its era, from the utilitarian designs of wartime production to the flamboyant styles of the post-war boom. Cars such as the Ford Model T, which revolutionized personal transport, or the Chevrolet Bel Air, an icon of 1950s prosperity, are milestones in automotive history.

Owning or restoring a classic car is akin to preserving a piece of history. These vehicles connect us to significant moments in time, providing a tangible link to the innovations and cultural shifts that shaped the modern world.

Nostalgia and Emotional Connection

Old cars evoke a deep sense of nostalgia. For many, they bring back fond memories of family road trips, carefree drives, or iconic movie scenes. The sight of a well-preserved vintage car can transport us to a time when life felt simpler and more adventurous.

Even those who didn’t live during the golden age of these vehicles feel a sense of wonder. The retro aesthetics, roaring engines, and unique quirks of old cars make them irresistible to enthusiasts and casual admirers alike.

Engineering Marvels of Their Time

While modern cars are laden with advanced technology, old cars are marvels of mechanical ingenuity. These vehicles were built to last, with robust engines and innovative features that were ahead of their time. Without today’s computerized systems, vintage cars relied on precision engineering and craftsmanship.

Collectors and restorers often take pride in the simplicity and elegance of these machines. The hands-on experience of working on an old car offers a rewarding connection to its inner workings, showcasing the brilliance of past automotive engineering.

The Joy of Restoration and Collecting

For car enthusiasts, restoring and maintaining old cars is a labor of love. The process of finding rare parts, polishing the body, and reviving the engine brings immense satisfaction. Restoration isn’t just about bringing a car back to life—it’s about honoring its legacy and ensuring its story continues.

Owning a vintage car also provides a sense of exclusivity. Driving a classic vehicle turns heads and sparks conversations, making it a source of pride for collectors. It’s not just about the car—it’s about the experience it offers.

Growing Value and Investment Potential

Old cars aren’t just cherished for their beauty and history—they’re also valuable investments. Certain classic models, like the Jaguar E-Type or Ferrari 250 GTO, have seen their prices skyrocket in recent years. Factors like rarity, condition, and historical significance make these cars highly sought-after among collectors.

In addition to financial value, vintage cars foster vibrant communities. Car shows, auctions, and clubs bring enthusiasts together to celebrate their shared passion, creating lasting connections and opportunities for collaboration.

Old cars are more than vehicles

they are symbols of history, artistry, and innovation. Their unique designs, rich histories, and emotional connections make them timeless treasures in the world of automobiles. Whether you’re restoring a vintage car, admiring one at a show, or simply dreaming of owning a classic, these vehicles remind us of the beauty and ingenuity of the past.

[gmppros]

What is an Electronic Batch Record (EBR)?

When I initially entered the pharmaceutical manufacturing world, I realized immediately how important Electronic Batch Records (EBRs) are. In an industry where precision is so pivotal that one miscalculation can initiate a recall, accuracy isn't merely a priority—it's paramount.

Nearly 50% of manufacturing mistakes are caused by manual entry of data, a study by the FDA found. Small errors in regulated industries such as pharma or biotech can have consequences running into millions of dollars and even jeopardize patient safety.

That's why the transition from paper-based records to EBRs was akin to a shift from dial-up to fiber. The impact was immediate and dramatic.

Understanding EBRs in Real-Life Operations

An Electronic Batch Record or EBR is a computerized equivalent of the conventional Batch Manufacturing Record or BMR. It records each and every step involved in the manufacture of a batch—automatically. From raw material to packing, everything is followed up by the EBRs, in real time.

They're built to 21 CFR Part 11 compliance, which rules on electronic signatures and records in FDA-regulated businesses. In my experience, that's a big auditor blessing. Inspectors no longer rummage through binders. Now, they click through neat, timestamped logs.

We tied in our EBR system with our Manufacturing Execution System (MES), and the benefit was instant. Suddenly, errors fell, document speed doubled, and batch approvals were half the time.

What Makes EBRs So Powerful?

Data Integrity: No more illegible handwriting or missing records. Every entry is validated and secure.

Master Batch Records: Standard templates ensure consistent production across all facilities.

Traceability: I can trace every ingredient, machine, and operator involved in any batch.

Operator Interface: Touchscreen prompts guide workers through each step, reducing errors dramatically.

Real-World Benefits I've Seen

At one plant where I worked, we reduced documentation time by 40% following the adoption of EBRs. That translated into quicker product release and less downtime. Operators found the easy-to-use system that guided them through SOPs, complete with electronic sign-offs adding accountability.

EBRs don't eliminate paper—they enhance the whole process.

Fewer Errors: Automated checks catch issues before they become problems.

Audit Ready: Digital audit trails satisfy FDA and EMA inspectors with a few clicks.

Cost Savings: No more storing boxes of batch records. Everything is archived digitally.

Why Pharma Can't Afford to Ignore EBRs

Pharma is embracing Pharma 4.0, with a combination of automation, analytics, and digital transformation. EBRs are the cornerstone. They bridge data, enhance visibility, and facilitate quicker decisions.

When one of our regulatory audits came in, our EBR system enabled complete traceability in minutes. The auditor was amazed. "This is just what the industry requires," he commented.

Transition Tips from My Experience

Shifting to EBRs is not about software alone. It takes the production, quality, and IT departments on board. The system must be validated, trained, and integrated. But the payoff? More control, less rework, and peace of mind.

Partnering for Success

We collaborated with GMP Pros, a group that knows both compliance and tech. They assisted in customizing our EBRs to fit our particular requirements, and every detail had to meet Good Manufacturing Practice (GMP) regulations.

Their support turned our chaotic documentation into a streamlined, digital operation. No more chasing signatures or rechecking entries.

Final Thought

If you’re still managing production on paper, you’re not just behind—you’re vulnerable. EBRs aren’t optional anymore. They’re your best defense against errors, non-compliance, and inefficiency.