Ai Tasks Definitions-

 

OUR APPROACH & ADVANTAGE

The Automated World  

Hybrid Ai Blockchain. Mapped thinking Ai brain space connected Ai. Umbrella - Agenda. Structure & Tiers in models with speed, electrical use & Energy Shut-Off & Energy choice with back up Storage. Proper infrastructure 

Ai. Ai Thinking Ai. Ai Contained Brains 

Fixed. Variable. Humanoid - Humanoid FleshBot 

WHAT IS Ai?

AI stands for artificial intelligence. It means a computer or machine is built to do tasks that usually need human thinking. These tasks include learning, solving problems, and understanding language. 

Machine Learning beyond C++ (Phython+)

How AI Works

Learning: Systems look at large amounts of data to find patterns instead of following hard-coded rules.

Adapting: The more data the system sees, the better it gets at making choices or predictions.

Speed: Computers process these complex thinking tasks much faster than a person can. 

Common Uses of AI

Chatbots: Computer programs that talk with you and answer questions.

Navigation: Apps that find the fastest driving routes and traffic updates.

Recommendations: Tools that suggest movies, songs, or products you might like.

Content creation: Software that generates text, images, or audio. 

Available external reference 

How machine learning works

The history of AI

Real-world uses in a specific job or industry

TASK SET & NUMBERS 

While the average human being at a cross hybrid PhD level of knowledge & skill psychologically - physically utilizes 50 - 1 accumulative multi-tasking as capacity in 1-50 tasks at one time in average memory against access to generalized & fluctuating memory 

We are increasing this capability beyond a generalized 100,000 expanding beyond quintillion referencing use of Yottabyte Supercomputing & Data Centers coupled with C/M Kinetic Energy Generators & Hybrids for Zero-emissions Low-Cost Energy 

This expands contained fixed Ai brain limitations allowing access to vast storage & retrieval with ability to contribute through read - scanned text separate from conversation based gains with accuracy in validity filters referencing stored data, scenarios & legal cases with law & rights archived, accessible current & updated changes reviewed quarterly  

H.I.3 HAVANA INTERNATIONAL 3+ REFERENCE 

The structure & perspective found within H.I.3 & Sydney Bennett's UN Framework has been found ingrained within S.B.G - CIG Ai & Ai Thinking Ai 

The Ai ability like a human brain in experience ages 0-6, 7-11, 12-17, 18-25+ with capacity & capability to learn, retain, retrieve & use including physical & digital basic to advanced text with a comprehension in how to use in different ways 

Umbrella + agenda. Generalized. Fluctuating in different Tiers with reference to vast data 

Human brain mapping. Thinking & multi-tasking. Then genre style & demographic style tiers from basic, mid level to advanced in effective use programming the entire Earth of accessible legal archived ancient, vintage - modern of history with access to live online - offline content for effective use reference acting as an Ai Assistant

An effective space in tasks genrealized that can expand into unused other space utilizing more than contract to achieve advanced structured solutions instantly or close to utilizing different lead & fail maps analyzing vast data & dead ends then comparative to arrive at best course effects in navigation 

All areas of public - private access H.I.3 with further private access vast data structures are utilized in the effective use of our advanced Ai & Supercomputer alongside Data center spread 

BRIDGING THE GAP BETWEEN DIGITAL & PHYSICAL 

Ai assistant. Ai for Humanoid Robot. Ai for Humanoid FleshBot. Ai for fixed Auutomation

Ai & what CIG Ai can do. Comprehension. Competence. Emergency Safety System & Safe Guards

HUMAN TASKS - DEFINITION 

Humans can effectively focus on only one complex cognitive task at a time. What looks like multitasking is actually rapid task-switching, which drains mental energy and increases mistakes. 

The Limits of Brain Function

One complex focus: The prefrontal cortex cannot process two high-level thoughts or demanding mental tasks simultaneously.

Rapid switching: The brain jumps back and forth between activities, creating a "switching cost" that lowers overall speed and accuracy. 

Automatic exceptions: You can combine a high-level cognitive task with an automatic, low-attention physical habit (like walking while talking), but two overlapping sensory or mental tasks compete for the same brain pathways. 

Super-taskers: A very rare group of people (about 2.5% of the population) can perform dual high-attention tasks effectively, but this is an exception rather than the norm.

Time-management methods (like the Pomodoro Technique) to avoid burnout

Tips on focus and single-tasking for productivity

Definition

Human multitasking

is the concept that one can split their attention on more than one task or activity at the same time, such as speaking on the phone while driving a car.

Multitasking can result in time wasted due to human context switching (e.g., determining which step is next in the task just switched to) and becoming prone to errors due to insufficient attention. Some people may be proficient at the tasks in question, able to rapidly shift attention between the tasks, and thus able to perform the tasks well. However, self-perception of being good at multitasking or getting more done while multitasking is frequently inaccurate.

Multitasking is mentally and physically stressful for everyone, to the point that multitasking is used in laboratory experiments to study stressful environments. Research suggests that people who are multitasking in a learning environment are worse at learning new information compared to those who do not have their attention divided among different tasks.

Etymology

The first published use of the word "multitask" appeared in an IBM paper describing the capabilities of the IBM System/360
in 1965.

The term has since been applied to human tasks

Research

Since the 1960s, psychologists have conducted experiments on the nature and limits of human multitasking. The simplest experimental design used to investigate human multitasking is the so-called psychological refractory period effect. Here, people are asked to make separate responses to each of two stimuli presented close together in time. An extremely general finding is a slowing in responses to the second-appearing stimulus. This slowing is intuitively apparent even in certain simple game-like contexts.

Researchers have long suggested that there appears to be a processing bottleneck preventing the brain from working on certain key aspects of both tasks at the same time (e.g.,(Gladstones, Regan&Lee 1989) (Pashler 1994)). Bottlenecking refers to the idea that because people only have a limited amount of attentional resources, the most important information is kept. Many researchers believe that the cognitive function subject to the most severe form of bottlenecking is the planning of actions and retrieval of information from memory. Psychiatrist Edward M. Hallowell has gone so far as to describe multitasking as a "mythical activity in which people believe they can perform two or more tasks simultaneously as effectively as one."

Others have researched multitasking in the area of learning. Richard E Mayer and Roxana Moreno studied the phenomenon of cognitive load in multimedia learning and concluded that it is difficult, if not impossible, to learn new information while engaging in multitasking. Reynol Junco (andShelia R CottenArchived August 1, 2020, at the Wayback Machine) examined how multitasking affects academic success and found that students who engaged in high levels of multitasking reported significant issues with their academic work. A more recent study on the effects of multitasking on academic performance showed that using Facebook and text messaging while studying were negatively related to student grades, while online searching and emailing were.

Some experiments have been done that demonstrate that it is possible to divide one's attention among several tasks; how successfully depends on several factors such as how much practice one has with it or the difficulty of the task. Walter Schneider and Robert Shiffrin performed an experiment in which they presented the participants with a memory set, which consisted of target stimuli such as the number three. After being presented with the memory set they were rapidly shown 20 test frames that contained distractor stimuli. One of the slides they were shown contained one of the target stimuli from the memory set. With each trial, a new memory set and new test frames were presented. At the start of the experiment, participants averaged 55% in correctly identifying the target stimuli from the memory set. After 900 trials the participants were able to bring the average up to 90%. They reported that after about 600 trials the task became automatic and they were able to respond without thinking about it.

The brain's role

Because the brain cannot fully focus when multitasking, people take longer to complete tasks and are predisposed to error. When people attempt to complete many tasks at one time, "or [alternate] rapidly between them, errors go way up, and it takes far longer—often double the time or more—to get the jobs done than if they were done sequentially," states Meyer. This is largely because "the brain is compelled to restart and refocus". A study by Meyer and David Kieras found that in the interim between each exchange, the brain makes no progress whatsoever. Therefore, multitasking people not only perform each task less suitably, but lose time in the process.
According to a study done by Jordan Grafman, chief of the cognitive neuroscience section at the National Institute of Neurological Disorders and Stroke, "the most anterior part [of the brain] allows [a person] to leave something when it's incomplete and return to the same place and continue from there," while Brodmann Area 10, a part of the brain's frontal lobes, is important for establishing and attaining long-term goals. Focusing on multiple dissimilar tasks at once forces the brain to process all activity in its anterior. Though the brain is complex and can perform myriad tasks, it cannot multitask well.

Another study by René Marois, a psychologist at Vanderbilt University, discovered that the brain exhibits a "response selection bottleneck" when asked to perform several tasks at once. The brain must then decide which activity is most important, thereby taking more time. Psychologist David Meyer, of the University of Michigan, claims that instead of a "bottleneck," the brain experiences "adaptive executive control" which places priorities on each activity. These viewpoints differ in that while bottlenecking attempts to force many thoughts through the brain at once, adaptive executive control prioritizes tasks to maintain a semblance of order. The brain better understands this order and, as psychologists such as Dr. Meyer believe, can, therefore, be trained to multitask. It is not known exactly how the brain processes input and reacts to overstimulation.

More recent neuroimaging research suggests that multitasking performance depends not only on how the brain prioritizes competing tasks, but also on how distinctly those tasks are represented in the brain. Using functional magnetic resonance imaging (fMRI) and Multivoxel pattern analysis (MVPA), researchers found that greater overlap between neural representations of concurrent tasks was associated with increased multitasking interference, whereas practice reduced this overlap and improved performance, suggesting that learning helps the brain maintain more distinct representations of competing tasks.

Further research supports that the human brain can be trained to multitask. A study published in Child Development by Monica Luciana, associate professor of psychology at the University of Minnesota, discovered that the brain's capability of categorizing competing information continues to develop until ages sixteen and seventeen. A study by Vanderbilt University found that multitasking is largely limited by "the speed with which our prefrontal cortex processes information." Paul E. Dux, the co-author of the study, believes that this process can become faster through proper training. The study trained seven people to perform two simple tasks, either separately or together, and conducted brain scans of the participants. The individuals multitasked poorly at first but, with training, were able to adeptly perform the tasks simultaneously. Brain scans of the participants indicate that the prefrontal cortex quickened its ability to process the information, enabling the individuals to multitask more efficiently. However, the study also suggests that the brain is incapable of performing multiple tasks at one time, even after extensive training. This study further indicates that, while the brain can become adept at processing and responding to certain information, it cannot truly multitask.

People have a limited ability to retain information, which worsens when the amount of information increases. For this reason, people alter information to make it more memorable, such as separating a ten-digit phone number into three smaller groups or dividing the alphabet into sets of three to five letters, a phenomenon known as chunking. George Miller, former psychologist at Harvard University, believes the limits to the human brain's capacity centers around "the number seven, plus or minus two." An illustrative example of this is a test in which a person must repeat numbers read aloud. While two or three numbers are easily repeated, fifteen numbers become more difficult. The person would, on average, repeat seven correctly. Brains are only capable of storing a limited amount of information in their short-term memories.

Laboratory-based studies of multi-tasking indicate that one motivation for switching between tasks is to increase the time spent on the task that produces the most reward (Payne, Duggan & Neth, 2007). This reward could be progress towards an overall task goal, or it could simply be the opportunity to pursue a more interesting or fun activity. Payne, Duggan, and Neth (2007) found that decisions to switch task reflected either the reward provided by the current task or the availability of a suitable opportunity to switch (i.e. the completion of a subgoal). A French fMRI study published in 2010 indicated preliminary support for the hypothesis that the brain can pursue at most two goals simultaneously, one for each frontal lobe (which has a goal-oriented area).

When studying the costs of multitasking there are typically two designs for or types of multitasking that are examined: task switching and dual tasking. Task switching involves shifting one's attention from one thing to another. Dual tasking, on the other hand, is when attention is divided among multiple things at once. Studies have been done to specifically examine the brain when one is engaged in either type of multitasking. Through the use of MRI brain scans, researchers have found that frontoparietal regions are activated which would include the inferior frontal junction and the posterior parietal cortex. They also found that while each type of tasking uses different mechanisms there are also some underlying mechanisms and resources that they share.

The difficulty of multitasking can also depend on the combination of tasks being performed. Some tasks pair information with responses in relatively natural ways. For example, a person might respond to something they see by pressing a button, while responding to something they hear by speaking aloud. These combinations tend to interfere less with each other because the tasks use different types of sensory information and responses. When these pairings are reversed, such as responding verbally to something seen while making a physical response to something heard, the tasks can interfere more strongly with each other, resulting in slower responses and more errors.

Sex differences

Although some cultures believe that women are better at multitasking than men, there is little data available to support claims of a real sex difference. Most studies that do show any sex differences tend to find that the differences are small and inconsistent.

In 2013, a brain connectivity study from Penn Medicine found major differences in men and women's neural wiring that researchers suggested indicated that sex plays a role in multitasking skills. They said that "[On] average, men are more likely better at learning and performing a single task at hand, like cycling or navigating directions, whereas women have superior memory and social cognition skills, making them more equipped for multitasking and creating solutions that work for a group." However, this study has been widely criticized because the differences could easily have been caused by increased head movement. Moreover, the link between the DTI data and behavioral performance is speculative.

In 2018, a study in Norway tested everyday scenarios via video games and found that "none of the multitasking measures (accuracy, total time, total distance covered by the avatar, a prospective memory score, and a distractor management score) showed any sex differences."

A 2019 study showed that there are no significant sex differences in multitasking across numerous tasks.

There have been attempts to produce evolutionary explanations for the popular belief. One story told by evolutionary biologists Silverman and Eals speculated that a sex-based division of labor into hunters and gatherers could favor the development of a difference in men and women's cognitive abilities, based on the hunter-gatherer tasks each sex performed in the prehistoric past. This is based on the outdated belief that prehistoric men were hunters, while women were gatherers and took care of the children, and that over time, there was a natural selection for women who could multitask, resulting in modern females being superior multitaskers. However, an attempted verification of this study found "that multiple methodological failures all bias their results in the same direction...their analysis does not contradict the wide body of empirical evidence for gendered divisions of labor in foraging societies".

Continuous partial attention

Main article: Continuous partial attention
Author Steven Berlin Johnson describes one kind of multitasking: "It usually involves skimming the surface of the incoming data, picking out the relevant details, and moving on to the next stream. You're paying attention, but only partially. That lets you cast a wider net, but it also runs the risk of keeping you from really studying the fish." Multimedia pioneer Linda Stonecoined the phrase "continuous partial attention" for this kind of processing. Continuous partial attention is multitasking where things do not get studied in depth.

Rapidly increasing technology fosters multitasking because it promotes multiple sources of input at a given time. Instead of exchanging old equipment like TV, print, and music, for new equipment such as computers, the Internet, and video games, children and teens combine forms of media and continually increase sources of input. According to studies by the Kaiser Family Foundation, in 1999 only 16 percent of the time spent using media such as the Internet, television, video games, telephones, text-messaging, or e-mail was combined. In 2005, 26 percent of the time these media were used together. This increase in simultaneous media usage decreases the amount of attention paid to each device. In 2005 it was found that 82 percent of American youth use the Internet by the seventh grade in school. A 2005 survey by the Kaiser Family Foundation found that, while their usage of media continued at a constant 6.5 hours per day, Americans ages 8 to 18 were crowding roughly 8.5 hours' worth of media into their days due to multitasking. The survey showed that one quarter to one-third of the participants have more than one input "most of the time" while watching television, listening to music, or reading. The 2007 Harvard Business Review featured Linda Stone's idea of "continuous partial attention," or, "constantly scanning for opportunities and staying on top of contacts, events, and activities in an effort to miss nothing". As technology provides more distractions, attention is spread among tasks more thinly.

A prevalent example of this inattention to detail due to multitasking is apparent when people talk on cell phones while driving. One study found that having an accident is four times more likely when using a cell phone while driving. Another study compared reaction times for experienced drivers during a number of tasks, and found that the subjects reacted more slowly to brake lights and stop signs during phone conversations than during other simultaneous tasks. A 2006 study showed that drivers talking on cell phones were more involved in rear-end collisions and sped up more slowly than intoxicated drivers. When talking, people must withdraw their attention from the road to formulate responses. Because the brain cannot focus on two sources of input at one time, driving and listening or talking, constantly changing input provided by cell phones distracts the brain and increases the likelihood of accidents.

Supertasker

In 2010, a scientific study found that a small percent of the population appeared to be much better at multitasking than others, and these people were subsequently labeled "supertaskers". In 2015,another studysupported the idea of supertaskers. This particular study showed that they tested people by making them drive on a driving simulator while at the same time memorizing words and solving math problems. As expected, most of the participants did much worse than their individual task test scores. The supertaskers, however, were able to multitask without major effects on their performance.

Popular commentary on practical multitasking

Barry Schwartz has noted that, given the media-rich landscape of the Internet era, it is tempting to get into a habit of dwelling in a constant sea of information with too many choices, which has been noted to have a negative effect on human happiness.

Observers of youth in modern society often comment upon the apparently advanced multitasking capabilities of Millennials and Generation Z. While it is true that contemporary researchers find that youths in today's world exhibit high levels of multitasking, most experts believe that members of the Net Generation are not any better at multitasking than members of older generations. However, some studies from the 2010s argue that Millennials are becoming better atmedia multitasking. Media multitasking is when media consumers view several media platforms at the same time, such as watching TV while browsing the internet. This is evidenced by the fact that they are gaining control over deciding which messages they pay attention to or not. Nonetheless, while there is a great deal of evidence showing the negative effects of multitasking on cognitive tasks, there is no evidence showing that multitasking has a positive or neutral effect on these tasks.
Many studies, literature, articles, and worldwide consulting firms, stress the fact that multitasking of any kind reduces the productivity and/or increases rate of errors, thus generating unnecessary frustrations.

In 2008, it was estimated that $650 billion a year is wasted in US businesses due to multitasking.

Neuroscience Reference

Now a neuroscientist from the National Kapodistrian University of Athens in Greece has managed to count the number of central processing units or "CPU cores" that are present in the human brain - and has found that, surprisingly, humans are only processing around 50 tasks at once, even when we're performing complex activities. 

However, these tasks aren't performed by individual neurons - they actually involve complex groups of neurons all working together for a higher function. 

To work out how the brain processes tasks, neuroscientist Harris Georgiou had to first map out activity across a human brain. Which is pretty hard when you consider the fact it consists of around 100 billion neurons that each have up to 10,000 connections with their neighbours. 
"All of this is packed into a structure the size of a party cake and operates at a peak power of only 20 watts, a level of performance that computer scientists observe with unconcealed envy," writesMIT Technology Review.

https://www.sciencealert.com/scientists-have-worked-out-how-many-tasks-our-brains-are-processing-at-once



Occupation Reference

There is no single fixed number for all the tasks humans carry out, as work is broken down differently across various economic models. For instance, labor research frameworks like MIT’s Project Iceberg group millions of individual work activities into roughly 750 distinct task clusters across hundreds of occupations. 

Categorizing Human Tasks

Routine Tasks: Predictable, repetitive duties following clear rules (e.g., data entry, basic manufacturing).

Abstract Tasks: Complex duties requiring reasoning, interpersonal skills, and creativity (e.g., management, strategy).

Manual Tasks: Physical labor requiring common sense and coordination.

Uniquely Human Tasks: Empathy, judgment, and original design work. 

INTEGRATING OUR Ai INTO ALL AREAS OF LIFE

A vast group of free access & paid service based Ai options exist which our Ai Thinking mapped brains are able to take advantage of for clients operating as an effective assistant 

Now from everything in life looking at professional approved use to private lives & time in public, security & legal reference connecting with professional options fitting into your financial capability tiers you fluctate between in life 

Our budgetary & career + education development aspect with advanced teaching - retention aids allow you to develop an investment portfolio separate from income streams with taxation 

This lowers risk & increases digital safeguards on vast international data reference for effective & vast - fast quarterly decision-making with Ai Assistants 

With this 95-98% of everything you do in life becomes automated yet the instructions on how we achieved & how to rebuild this effective World are retained 

Zero Emissions. Zero Cycle. Net Zero technologies & low - cost Perpetual Energy are very intertwined in this effect alongside advancing biological solutions & managed health - dental 

OUR APPROACH & ADVANTAGE

Hybrid Ai Blockchain. Mapped thinking Ai brain space connected Ai. Umbrella - Agenda. Structure & Tiers in models with speed, electrical use & Energy Shut-Off & Energy choice with back up Storage. Proper infrastructure 

Our For-Profit International Corporate Investment - Commodities Group managing different In-House brands 

2026-2030 updates at S.B.G - CIG

Tatiana Bigarda & Madison Koslov Bennett which are the remaining public heads of S.B.G - CIG for shareholders have a lot of work integrating H.I.3 efforts into S.B.G - CIG 

As we phase in the 3 part website connecting to our vast European international infrastructure & Shield Network rebrand upscale building upon virtual workd users will see a vast update per quarter 

S.B - S.B.G - CIG C/M - Alpha Health