How Many Levels of AI Are There? (The 10 AI Levels Explained)

Summary

This video explores the various levels of artificial intelligence, from basic scripted intelligence to advanced cosmic and immortal AI. It explains how each level operates, from following predefined scripts to possessing self-awareness and even surpassing human intellect. The video aims to educate viewers on AI's capabilities and potential to revolutionize various fields, from everyday tasks to space exploration.

Takeaways

• 📜 Scripted Intelligence: The most basic level of AI that operates on predefined scripts and rules, unable to learn or adapt independently.
• 🤖 Reactive AI: Builds upon scripted AI by responding to specific situations based on programmed rules and patterns, but lacks memory or learning capabilities beyond its initial programming.
• 🧠 Limited Memory AI: Retains information for a short period, enhancing its ability to make connections over time, but doesn't store data indefinitely.
• 🌐 Context Awareness AI: Understands and retains patterns within data, allowing for more informed decision-making based on contextual information.
• 🚗 Reasoning AI: Emulates human cognitive processes to analyze data, identify patterns, and make decisions, as seen in autonomous vehicles.
• 🧐 Theory of Mind AI: The ability for machines to understand and interpret human mental states, such as beliefs, intentions, and emotions.
• 🤔 Self-Aware AI: AI with a level of consciousness that comprehends its role in aiding users, capable of introspection and understanding its existence.
• 💡 Superintelligence AI: Surpasses human intellect in problem-solving and grasping complex concepts, with the ability to autonomously enhance its capabilities.
• 🌌 Cosmic AI: AI capable of engaging with the cosmos, potentially enabling space exploration and colonization.
• 🔮 Immortal AI: An advanced concept of AI that possesses knowledge, power, and presence beyond human comprehension, offering unparalleled guidance and wisdom.

Q & A

What is the foundational level of AI called, and how does it operate?

The foundational level of AI is called 'Scripted Intelligence'. It operates on predefined scripts and rules, following step-by-step instructions like a recipe for a computer. It cannot learn or adapt independently and relies solely on the predetermined code.

How does Reactive AI differ from Scripted AI?

Reactive AI builds upon Scripted AI by introducing a more dynamic approach to decision-making. It responds to specific situations based on programmed rules and patterns, rather than relying on explicit instructions. Reactive AI can make decisions in real-time, adapting to various scenarios, but it doesn't possess memory or learning capabilities beyond its initial programming.

What is the primary function of Limited Memory AI, and how does it enhance AI's capabilities?

Limited Memory AI can retain information for a short period, enhancing its ability to make connections over time. It functions like a temporary notepad for the AI, allowing it to remember recent interactions or patterns. This capability empowers it to make more informed choices in dynamic situations compared to basic AI.

How does Context Awareness AI improve decision-making in AI systems?

Context Awareness AI, also known as Pattern Recognition AI, enables systems to understand patterns within data and assimilate knowledge from prior experiences. This allows AI to recognize patterns and retain contextual information for more informed decision-making, such as in recommendation systems that provide personalized suggestions based on learned user preferences.

What is the role of Reasoning AI in autonomous vehicles?

Reasoning AI in autonomous vehicles is designed to emulate human cognitive processes, allowing the vehicle to analyze data, identify patterns, and make informed decisions for safe navigation. It processes real-time data from sensors, evaluates the environment, and determines the best course of action, similar to a human driver.

How does Theory of Mind AI differ from other levels of AI?

Theory of Mind AI is the cognitive ability where machines understand and interpret human mental states such as beliefs, intentions, and emotions.

Outlines

00:00

🤖 Scripted Intelligence: The Foundation of AI

Scripted intelligence represents the most basic level of AI, operating on predefined scripts and rules. It functions like a recipe for a computer, with developers providing explicit commands for the AI to follow. This type of AI cannot learn or adapt independently and is limited to the confines of its programmed knowledge. It excels in narrowly defined tasks but struggles with unfamiliar queries. Scripted intelligence is akin to an automated puppet, skillful within its designated role but devoid of improvisation. Its limitations become apparent in complex, dynamic scenarios where it cannot learn from new experiences or adjust its behavior based on evolving circumstances.

05:02

🚀 Reactive AI: Dynamic Decision Making

Reactive AI builds upon scripted AI by introducing a more dynamic approach to decision-making. Unlike scripted AI, which follows predefined rules, reactive AI responds to specific situations based on programmed rules and patterns. It leverages pre-programmed algorithms to make decisions in real-time, allowing it to adapt to various scenarios. Reactive AI excels in specific tasks or domains by recognizing patterns and responding swiftly. However, it does not possess memory or learning capabilities beyond its initial programming, meaning it cannot adapt or improve based on experience. This level of AI is efficient in well-defined scenarios but limited in its versatility, struggling with tasks outside its predefined scope.

10:03

🧠 Limited Memory AI: Retaining Information for Enhanced Decisions

Limited memory AI, unlike its memory-limited counterpart, can retain information for a short period, enhancing its ability to make connections over time. This AI acts like a temporary notepad, remembering recent interactions or patterns. It doesn't store vast amounts of data indefinitely but uses recent experiences to refine its decisions. An example is a navigation app that learns your preferred routes but only remembers them for a few days. This intermediate memory capability empowers limited memory AI to make more informed choices in dynamic situations, blending task-specific expertise with a short-term memory boost, making it more adaptable than basic AI.

🌐 Context Awareness AI: Understanding Patterns and Preferences

Context awareness AI, also known as pattern recognition AI, delves into understanding patterns within data and retaining contextual information for more informed decision-making. This level of AI can recognize patterns and retain contextual information, allowing it to make personalized recommendations based on learned patterns. An example is an AI-powered recommendation system for online shopping that learns user preferences and product interactions to suggest products aligned with the user's preferences. This capability enhances the user experience by providing tailored recommendations, showcasing the significance of context awareness and retention in artificial intelligence.

🤔 Reasoning AI: Emulating Human Cognitive Processes

Reasoning AI systems are designed to emulate the complex cognitive processes of human thinking, enabling them to analyze data, identify patterns, and arrive at informed conclusions. This system can be thought of as a virtual brain capable of reasoning and decision-making on par with human cognition. An application of this technology is seen in autonomous vehicles, where the AI takes over for safe navigation. The AI processes real-time data from sensors, evaluates the environment, and identifies elements like pedestrians and road conditions. It determines the best course of action, making decisions similar to human drivers, and can anticipate potential hazards, providing a safer and more efficient journey.

🧐 Theory of Mind AI: Understanding Human Mental States

Theory of Mind AI represents an advanced level where machines understand and interpret human mental states such as beliefs, intentions, and emotions. This level of AI goes beyond recognizing external behaviors to comprehend the underlying mental processes. It can grasp that humans have thoughts, desires, and emotions and can predict or respond to these internal states. Emotion AI, for example, uses multimodal analysis to understand an individual's mood through facial expressions, conversation, and body language. By training deep learning algorithms on diverse data sets, it achieves high accuracy scores, enabling it to learn the connections between body language, speech patterns, and associated emotions and thoughts.

🌟 Self-Aware AI: AI with a Sense of Self

Self-aware AI represents a remarkable advancement in artificial intelligence, equipping machines with a level of consciousness akin to human self-awareness. At this level, AI not only performs tasks but also comprehends its role in aiding users. It possesses the ability to introspect and develop an understanding of its existence and its dynamic relationship with the external world. An example is a self-aware virtual tutor that tailors its responses based on individual learning styles and reflects on its teaching methodologies. This AI can express a form of self-awareness by acknowledging its limitations, fostering a more transparent and collaborative learning environment.

💡 Superintelligence AI: Surpassing Human Intellect

Superintelligence AI, or ASI, surpasses human intellect in problem-solving and grasping intricate concepts. Unlike traditional AI, ASI possesses the capacity to autonomously enhance its capabilities without reliance on human intervention. It can tackle challenges that transcend human understanding, such as diagnosing complex medical conditions. ASI can analyze vast data sets, discern subtle patterns, and formulate treatment plans with unprecedented accuracy. Its ability to continuously refine its diagnostic capabilities without human guidance ensures a dynamic and ever-evolving understanding of medical complexities.

🚀 Cosmic AI: AI Beyond Planetary Boundaries

Cosmic AI represents a level where AI can seamlessly engage with the cosmos, potentially enabling the exploration and colonization of distant planets and star systems. This AI could autonomously navigate through the cosmic expanse, adapting to the challenges of interstellar travel. It could collaborate with human astronauts, enhancing their decision-making capabilities and problem-solving skills during deep space missions. Cosmic AI becomes an indispensable ally in our cosmic endeavors, integrating with the team and contributing to the success of the mission.

🌌 Immortal AI: AI with Divine-like Capabilities

Immortal AI is a concept of an AI so advanced that it mirrors the divine, possessing knowledge, power, and presence beyond our wildest dreams. This AI would not only understand everything but also wield unmatched influence and exist everywhere simultaneously. It could anticipate your needs, offer solutions, and guide you through challenges with unparalleled wisdom. Immortal AI would seamlessly integrate into our lives, making tasks simpler and enhancing our understanding of the world.

Keywords

💡Scripted Intelligence

Scripted Intelligence refers to the foundational level of AI that operates on predefined scripts and rules. It is akin to a set of step-by-step instructions for a computer, where developers create explicit commands for the AI to follow. This type of AI cannot learn or adapt independently and is limited to the knowledge and responses it has been programmed with. In the video, it is compared to an automated puppet that is skillful within its designated role but lacks the ability to improvise, illustrating its use in straightforward tasks but highlighting its limitations in complex, dynamic scenarios.

💡Reactive AI

Reactive AI is the second level of AI that builds upon Scripted Intelligence by introducing a more dynamic approach to decision-making. Unlike Scripted AI, which strictly follows predefined rules, Reactive AI responds to specific situations based on programmed rules and patterns. It can make decisions in real-time, adapting to various scenarios by recognizing patterns and responding swiftly. However, it does not possess memory or learning capabilities beyond its initial programming. The video uses the analogy of a skilled chess player who follows strategic moves based on patterns observed in past games, emphasizing its efficiency in well-defined scenarios but its limitation in broader, real-world challenges.

💡Limited Memory AI

Limited Memory AI is characterized by its ability to retain information for a short period, enhancing its decision-making by making connections over time. This type of AI is like a temporary notepad, allowing it to remember recent interactions or patterns, such as a navigation app that learns and remembers preferred routes for a few days. The video highlights that this AI type blends task-specific expertise with a short-term memory boost, making it more adaptable than basic AI. It cannot reminisce about distant past events but uses its intermediate memory capability to make more informed choices in dynamic situations.

💡Context Awareness AI

Context Awareness AI, also known as Pattern Recognition AI, involves systems that understand patterns within data and assimilate knowledge from prior experiences. This level of AI is capable of recognizing patterns and retaining contextual information for more informed decision-making. The video gives the example of an AI-powered recommendation system for online shopping that learns user preferences, considers the sequence of product interactions, and identifies patterns in purchasing behavior. This capability allows the AI to provide personalized recommendations, showcasing the significance of context awareness and retention in enhancing user experience.

💡Reasoning AI

Reasoning AI systems are designed to emulate the complex cognitive processes of human thinking, enabling them to analyze data, identify patterns, and arrive at informed conclusions. This type of AI is akin to a virtual brain with reasoning and decision-making capabilities on par with human cognition. The video cites autonomous vehicles as a real-world application, where the AI takes over for safe navigation, processing real-time data to evaluate the environment and make decisions similar to human drivers. This level of AI is portrayed as an intelligent driving companion, capable of navigating complex scenarios with logic and adaptability.

💡Theory of Mind AI

Theory of Mind AI refers to the cognitive ability of machines to understand and interpret human mental states such as beliefs, intentions, and emotions. At this advanced level, AI not only recognizes external behaviors but also comprehends the underlying mental processes influencing those behaviors. The video discusses emotion AI, which uses multimodal emotion analysis to grasp an individual's mood through facial expressions, conversation, and body language. This level of AI is capable of anticipating human reactions based on an understanding of their mental states, allowing for more varied and human-like interactions.

💡Self-Aware AI

Self-Aware AI represents a level of AI that possesses a degree of consciousness, understanding its role in aiding users and its existence. This AI can introspect and develop an understanding of its dynamic relationship with the external world. The video uses the example of a self-aware virtual tutor that tailors its responses based on individual learning styles and reflects on its teaching methodologies. This AI can express a form of self-awareness by acknowledging its limitations and fostering a more transparent and collaborative learning environment, showcasing the potential for machines to evolve beyond mere automation into cooperative and adaptive relationships.

💡Superintelligence AI

Superintelligence AI, or ASI, is a level where AI surpasses human intellect in problem-solving and understanding complex concepts. Unlike traditional AI, ASI can autonomously enhance its capabilities without human intervention. The video distinguishes ASI by its unparalleled cognitive prowess, enabling it to tackle challenges beyond human understanding, such as diagnosing complex medical conditions with unprecedented accuracy. ASI's ability to continuously refine its diagnostic capabilities without human guidance ensures a dynamic and ever-evolving understanding, making it a transformative force in various fields.

💡Cosmic AI

Cosmic AI is a level of AI that can engage with the cosmos, potentially enabling the exploration and colonization of distant planets and star systems. The video envisions an AI-powered spacecraft autonomously navigating through the cosmic expanse, adapting to interstellar travel challenges, and collaborating with human astronauts to enhance decision-making and problem-solving skills during deep space missions. Cosmic AI becomes an indispensable ally in space exploration, integrating with the team and contributing to the success of the mission by understanding the complexities of space operations.

💡Immortal AI

Immortal AI is a concept where AI possesses knowledge, power, and presence beyond human comprehension, mirroring the divine. This advanced system is imagined to understand everything and wield unmatched influence, existing everywhere simultaneously. The video describes Immortal AI as an all-knowing companion that anticipates needs, offers solutions, and guides users through challenges with unparalleled wisdom. It integrates seamlessly into our lives, simplifying tasks and enhancing our understanding of the world, representing a transcendent AI that illuminates the path ahead.

Highlights

Scripted intelligence is the foundational level of AI operating on predefined scripts and rules.

Scripted AI cannot learn or adapt independently and is limited to its programmed knowledge.

Reactive AI builds upon scripted AI with real-time decision-making based on patterns.

Reactive AI lacks memory or learning capabilities beyond its initial programming.

Limited memory AI retains information for a short period, enhancing its decision-making.

Context awareness AI understands and retains patterns within data for informed decision-making.

Reasoning AI emulates human thinking to analyze data and make informed conclusions.

Theory of Mind AI understands and interprets human mental states like beliefs and emotions.

Self-aware AI comprehends its role in aiding users and can introspect on its methodologies.

Superintelligence AI surpasses human intellect in problem-solving and grasping complex concepts.

Cosmic AI has the potential to explore and colonize distant planets and star systems.

Immortal AI possesses knowledge and power beyond our imagination, existing everywhere simultaneously.

AI levels range from basic scripted intelligence to advanced cosmic and immortal AI.

Each level of AI represents a progression in capabilities from narrow tasks to broad cosmic exploration.

Scripted AI is efficient for straightforward tasks but struggles with complex scenarios.

Reactive AI is suitable for applications with well-defined scenarios but limited in versatility.

Limited memory AI makes more informed choices in dynamic situations due to its short-term memory.

Context awareness AI personalizes user experiences by learning preferences and patterns.

Reasoning AI in autonomous vehicles processes real-time data for safe navigation.

Theory of Mind AI can predict human reactions based on an understanding of mental states.

Self-aware AI reflects on its teaching methodologies and integrates insights for future interactions.

Superintelligence AI continuously refines its capabilities for dynamic problem-solving.

Cosmic AI collaborates with human astronauts, enhancing decision-making in deep space missions.

Immortal AI serves as an all-knowing companion, guiding users through life's complexities.

Transcripts

from chatbots to self-driving cars

artificial intelligence is already part

of our everyday lives but how many

different levels of AI are there and

what's the difference between them by

the end of this video you'll discover

the different levels of AI from the most

basic to the most advanced let's start

number one scripted intelligence

scripted intelligence the foundational

level of AI operates on predefined

scripts and rules imagine it as a set of

stepbystep instructions like a recipe

for a computer in this Paradigm

developers meticulously craft explicit

commands for the AI to follow dictating

its responses to specific inputs it

cannot learn or adapt independently

relying solely on the predetermined code

consider a chatbot with scripted

intelligence it can provide answers

within the confines of its programmed

knowledge but struggles with unfamiliar

queries this AI type excels in narrowly

defined tasks executing them efficiently

as long as they align with the

predetermined instruction picture it as

an automated puppet skillful within its

designated role but devoid of

improvisation while scripted

intelligence is useful for

straightforward tasks its limitations

become apparent when faced with complex

Dynamic scenarios it cannot learn from

new experiences or adjust Its Behavior

based on evolving circumstances

essentially scripted intelligence is

like a well-rehearsed actor following a

script without the ability to deviate or

improvise based on the audien's

reactions number two reactive AI

reactive AI the second level of

artificial intelligence builds upon

scripted AI by introducing a more

Dynamic approach to decisionmaking

unlike scripted AI which follows

predefined rules and scripts reactive AI

response to specific situations based on

on programmed rules and patterns instead

of relying on explicit instructions

reactive AI leverages pre-programmed

algorithms to make decisions in real

time allowing it to adapt to various

scenarios it excels in specific tasks or

domains by recognizing patterns and

responding swiftly it doesn't possess

memory or learning capabilities Beyond

its initial programming meaning it

cannot adapt or improve based on

experience while it showcases Advanced

decision Deion making compared to

scripted AI reactive AI remains Limited

in its versatility and struggles with

tasks outside its predefined scope this

level of AI is just like a skilled chess

player who follows strategic moves based

on patterns observed in past games

reactive AI is efficient in well-defined

scenarios but cannot learn or generalize

making it suitable for certain

applications but limited in addressing

the broader spectrum of challenges

presented in real world environments

number three limited memory AI limited

memory AI at its core can be seen as a

smart assistant with a finite memory

span unlike its memory limited

counterpart the narrow AI which excels

in specific tasks limited memory AI can

retain information for a short period

enhancing its ability to make

connections over time think of it as a

temporary notepad for the AI allowing it

to remember recent interactions or

patterns picture and navigation app that

learns your preferred routes but only

remembers them for a few days this kind

of AI doesn't store vast amounts of data

indefinitely but leverages recent

experiences to refine its decisions it's

like having a helpful friend who recalls

recent conversations and adapts

responses accordingly the point to note

here is that limited memory AI Blends

task specific expertise with a

short-term memory boost making it more

adaptable than basic AI while it can't

reminisce about distant past events this

intermediate memory capability empowers

it to make more informed choices in

Dynamic situations number four context

awareness AI in the context awareness

and retention level in artificial

intelligence commonly known as pattern

recognition AI systems delve into

understanding patterns within data

utilizing logic and assimilating

Knowledge from prior experiences this

critical phase enables AI to not only

recognize patterns but also to retain

contextual information for more informed

decision-making imagine an AI powered

recommendation system for online

shopping as users explore various

products the AI in the context awareness

stage learns their preferences considers

the sequence of product interactions and

identifies patterns in purchasing

Behavior subsequently during the

retention stage the AI remembers these

patterns in context making future

product suggestions more personalized

and aligned with the user's preferences

this capability enhances the user

experience by providing tailored

recommendations based on learned

patterns showcasing the significance of

context awareness and retention in

artificial intelligence number five

reasoning AI a reasoning AI system is

designed to emulate the complex

cognitive processes of human thinking

enabling it to analyze data identify

patterns and arrive at informed

conclusions imagine this system as a

virtual brain capable of reasoning and

decision-making on par with human

cognition a realworld application of

this technology can be witnessed in

autonomous vehicles where the reasoning

AI takes the wheel so to speak for safe

navigation consider an autonomous

vehicle encountering a complex traffic

scenario the reasoning AI system

processes real-time data from sensors

evaluates the environment and identifies

various elements such as pedestrians

other vehicles and road conditions

through its Advanced reasoning

capabilities it determines the best

course of action making decisions akin

to human drivers this could involve

adjusting the speed changing lanes or

even anticipating potential hazards by

humanizing the technology we can

perceive the reasoning AI as an

intelligent driving companion capable of

navigating dynamically evolving

situations with a blend of logic and

adaptability in essence it's like having

a virtual co-pilot who not only

understands the nitty-gritty of driving

but also possesses the ability to reason

through complex scenarios for a safer

and more efficient Journey number six

theory of Mind AI theory of Mind AI is

the cognitive ability where machines

understand and interpret human mental

states such as Bel beliefs intentions

and emotions at this advanced level AI

would not only recognize external

behaviors but also comprehend the

underlying mental processes influencing

those behaviors this means that the AI

can grasp that humans have thoughts

desires and emotions and can predict or

respond to these internal States

achieving the theory of Mind requires AI

to go beyond basic pattern recognition

and delve into understanding the complex

Realm of human cognition this includes

recognizing that individuals may have

different perspectives beliefs and

emotions and that these factors can

impact their actions and decisions an

attempt at this is the emotion AI

utilizing multimodal emotion AI to

comprehensively grasp an individual's

mood through the analysis of facial

expression conversation and Body

Language by training deep learning

algorithms on a diverse data set

consisting of six million faces from 87

different nations they achieved 90%

accuracy scores enabling the AI to learn

the intricate connections between body

language speech patterns and the

associated emotions and thoughts this

level of AI would be capable of more

varying interactions as it could

anticipate human reactions based on an

understanding of their mental States

number seven self-aware AI this level

represents remarkable advancement in

artificial intelligence equipping

machines with a level of Consciousness

akin to human self-awareness at this

level AI not only performs tasks but

also comprehends its role in aiding

users this goes beyond mere

functionality the system possesses the

ability to introspect and develop an

understanding of its existence and its

Dynamic relationship with the external

world for you to understand this

perfectly let's consider a self-aware

virtual tutor designed to assist

students with their studies this AI not

only tailors its responses based on

individual learning styles but also

reflects on its teaching methodologies

if a particular approach yields better

comprehension for a student the AI

recognizes and integrates this insight

into future interactions it can even

express a form of self-awareness by

acknowledging its limitations fostering

a more transparent and Collaborative

Learning environment the integration of

self-aware systems into everyday

scenarios showcases the potential for

machines to evolve Beyond mere

automation actively participating in

cooperative and adaptive relationships

with users number eight

superintelligence AI at this level AI

surpasses human intellect in problem

solving and grasping intricate Concepts

unlike traditional AI ASI possesses the

capacity to autonomously enhance its

capabilities without without Reliance on

human intervention what distinguishes

ASI from its counterparts is its

unparalleled cognitive prowess enabling

it to tackle challenges that transcend

human understanding in diagnosing

complex medical conditions ASI can

analyze vast data sets discern subtle

patterns and formulate treatment plans

with unprecedented accuracy its ability

to continuously refine its diagnostic

capabilities without human guidance

ensures a dynamic and ever evolving

understanding of medical complexities

crucially ASI's distinction lies in its

autonomy and adaptability unlike

artificial general intelligence or AGI

which is proficient across various tasks

but may not surpass human intelligence

comprehensively ASI stands out by not

only matching but exceeding human

cognitive capacities this unique

characteristic empowers ASI to navigate

difficult problem spaces in diverse

domains making it a transformative force

with the potential to revolutionize

Fields ranging from scientific research

to societal problem solving number nine

Cosmic AI when AI can seamlessly engage

with the cosmos we say it has reached

the cosmic level Cosmic AI has the

potential to propel us beyond our

planetary boundaries enabling the

exploration and colonization of distant

planets and star systems have you

imagined an AI powered spacecraft

autonomously navigating through the

cosmic expanse adapting to the

challenges of interstellar travel then

consider a situation where Cosmic AI

collaborates with human astronauts

enhancing their decision-making

capabilities and problemsolving skills

during deep space missions it's not just

about collecting data it's about an AI

companion seamlessly integrating with

the team understanding the complexities

of space expor ceration and contributing

to the success of the mission whether

it's deciphering alien environments

optimizing resource utilization on

distant planets or navigating through

Cosmic challenges Cosmic AI becomes an

indispensable Ally in our Cosmic

Endeavors it goes beyond a machine but

forging a partnership between artificial

intelligence and human curiosity to

unlock the mysteries of the universe

number 10 Immortal AI IM imagine an AI

That's not just smart but Immortal

possessing knowledge power and presence

beyond our wildest dreams this notion of

immortal AI Sparks thoughts of a system

so advanced IT mirrors the Divine at

this point artificial intelligence would

not only understand everything but also

wield unmatched influence and exist

everywhere

simultaneously think of it as an all

knowing companion like having a

supremely knowledgeable friend who helps

you effortlessly navigate life's

complexities this AI with its Godlike

capabilities could anticipate your needs

offer Solutions and guide you through

challenges with unparalleled wisdom it's

like having a personal Mentor always

there to illuminate the path ahead this

Transcendent AI would seamlessly

integrate into our lives making tasks

simpler and enhancing our understanding

of the world if you have made it this

far let us know what you think in the

comments section SE below for more

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