AI Rescues

AI Rescues Profile

Version 2.5
Saturday, October 21st
3 pm

9 November V 2.75 at 2:45 pm

Artificial Intelligence (AI) Rescues are planned. AI offer’s considerable benefits for rescuing humans and animals, dead or alive, globally.

Assets enabled with Artificial Intelligence potentially, provided significant capabilities for each and rescue (SAR).

Philanthropists, wanted and needed to support AI rescues.

Help make a better world, is the mindset, mission and focus of aiRescues.

The entrepreneurial executive team of aiRescue has secured the domain (universal markup language URL): www.airesucues.org for nonprofit organization and .com for profit entity. Startups, are under creation, finalization and development.

Headquarter planned for Washington DC with regional offices domestically in United States similar to Federal Energy Management Agency (FEMA 10 Regional) and globally.

aiRescue planning to augment others (First responders, etc.) Providing artificial intelligence support selectly. Predominantly, aiRescue will prefer and perform rescue missions, for individuals and groups, independently. The plan is to be completely self-sufficient.

Food, beverages and temporary shelters, including overnight accomodations on-location for humans is planned.

Command and Control, is planned for mobility. Decision support, permits and authorizations enabled from many locations globally.

Code-blue, in many emergency situations, fastest, prompt response is imperative. Authorization for ground transportation vehicles to utilize vehicles emergency lights and sirens is planned. Potentially response vehicles are expected to travel as fast as 130 mph, reportedly going from 0 to 60 mph in about 3 seconds.

Deployment of aiRescue is planned upon request. US President, US State Governors, City Mayors domestically is planned. International, aiRescues requesting by Prime Ministers, Kings and other high-ranking individuals are planned. Individuals (especially philanthropists) can request rescues.

Rescues capacity is planned for scalability. aiRescue for one -to- million or more is contemplated.

Special new assets for rescue activities are planned. Humanoid’s (Robots) electric vehicles many different types equipped with Artificial Intelligence (AI) and/or physically operating by artificial intelligence is planned.

Assets are not planned to be sold, not directly purchasable. Original equipment manufacturers (IEMs), are likely to enable direct purchases.

Technology refresh,is planned as good procurement process and procedures. Hardware, software and services contracts, impact the viability and capabilities of assets. Special consideration and arrangements are expected including provisioning of communications, in-remote and un-covered locations.

Land and water aiRescues capabilities are planned. Assets selected and manufactured by others is planned. On and off-road vehicles planned (most electrical propelled). Vertically integrated assets from multiple companies are planned. Recreational vehicles assets planned, including special narrow Rovers and compact track loaders (CTLs).

On-water and in-water (flooding) aiRescues, planning for using landing craft boats (opening-bows), personal water crafts (search and rescue type) and electric vehicle with aquatic capabilities.

aiRescues plans included weather related rescues. Rapidly changing conditions have (miles of stranded motorist on roads) and expect reoccurrence weather related rescues needs.

All-weather assets (including: retrofits for tracks) are planned.operablity of aiRescues, not negatively interfering with rescheduling capabilities.

Consumable commodities, water and ice support planned related to rescues. Refrigeration for medical purposes medicines that are temperature sensitive, is planned.

In some situations, aiRescues focused efforts on providing products. Bi-directional logistics planning, bring in to negatively affected areas commodities for sustaining human life and evacuating humans the other direction. Movement from and to save zones. Final temporary locations transportation planned.

Opt-in programs enable contributors to provide assets beneficial to the aiRescues. Immediate and temporary insurance another identifications provided to asset owners. Restoration including decontamination as necessary plan for purchase of asset and replacement program planned.

Pets and other animals aiRescues plans included animals. Temporary handling pets and other animals planned with artificial intelligence supporting reunification with others and release the wild, including ongoing multimedia visual support.

Customizations and modifications of assets: in-shops and on-location is planned.

High-resolution imagery (4-to-8K) his planned. Real-time sharing of high resolution video imagery planned including 360° views fir situational awareness with imagery including multimedia visual and audio (high-quality microphones) is planned.

Multimedia studio, in-Cloud, on-location and other is planned. Imagery aggregation and production support planning considerations planned. Streaming relevant content is planned, including processing for social media channels real-time dissemination.

Redundancy is planned, semi-fixed assets mounted on vehicles (including recreational vehicles) planned and portable redundant systems in durable cases is planned for deployment separate from vehicles (leave-behind).

Executive protection, fully supported executive protection programs. Pre-arranged protection of individuals are prioritized with advanced tracking and rescue planning.

Privacy in every possible manner is planned. Individuals can remain anonymous. No detailed imagery is shared without full authorization. Coded identification of individuals for privacy is planned.

Financial considerations for missions to be determined on a case-by-case basis. Each aiRescue is planned to be separate and independent. Complete online, password protected, book-keeping is planned with timely updates, summarized reporting of all financial activities including in-kind donations and volunteerism. Privacy respected as requested.

Donations to nonprofit organization, cash and in-kind (physical assets including vehicles) to be requested, following all legal and regulations. Pre-developing, training and other logistical consideration planned.

Volunteerism, skilled and talented individuals can and are expected to participate. Philanthropic, supporting and activities are imperative for success. Anonymous donation and participation are supported. High-profile public relations (PR) supported. Planning on working with publicist for celebrity participation.

Some rescues are expected to be extremely high-profile newsworthy events globally.

Autonomously operated transportation vehicles are planned, transporting products and people (humans: rescue & support teams). Authorization to operate without humans secured before operating vehicles on public roads. Passive human drivers are planned, for vehicle operating on public roads.

Hazardous environments, for humans, indoors and outside are expected. Hazardous conditions are expected it occurring in many different ways, a wide range of hazardous conditions can occur, and changing conditions are expected to occur.

Scientific intelligence with advanced scientific instruments planned. Instruments for every conceivable condition are planned. Everything from air and water quality. Planning digital Microscope for on-site human blood testing.

Advanced space communications system is planned. High-speed video supported communication worldwide planned

Portable energy storage capabilities are planned, including recharging capabilities by solar and independent mirco-turbine systems biofuel pellets augmentation planned.

Geolocation providing precise location is planned with utilization of third-party application technology. Uniquely addressed 57 trillion squares globally land and water. Longitude and latitude information sharing planned.

Desalinization and water purification portable systems are planned for unlimited drinking water and other purposes.

Decontamination capabilities are planned.

Tethered air and underwater drones are planned.

Military in law enforcement are not planned for direct rescuing. Coaching another advisory and demonstration sharing is planned.

Disclaimer, information shared is completely conceptual not to be relied upon ad factual or occurring.

Forward looking statements, information provided contained a significant amount of forwards looking statements that may or may not happen in the future.

Open source, information is not proprietary information. The information can be used by anyone at any time, are you sure and beneficial purposes.

Background

Article by others:

The difference between Artificial Intelligence and Machine Learning
Canadian College for Higher Studies > Blog > Blog > The difference between Artificial Intelligence and Machine Learning
The difference between Artificial Intelligence and Machine Learning.

Artificial Intelligence (AI) and Machine Learning (ML) are two hot buzzwords right now and often seem to be used interchangeably. These two are not quite the same thing, but the perception that they are can sometimes lead to some confusion, reported Forbes.

Both terms crop up frequently when the topic is big data, analytics, and the broader waves of technological change sweeping through our world.

In short, artificial intelligence is the broader concept of machines being able to carry out tasks in a way that we consider “smart.” Machine learning is a current application of AI based on the idea that we should be able to give machines access to data and let them learn for themselves.

Artificial Intelligence – devices designed to act intelligently – are often classified into one of two fundamental groups – applied or general. Applied AI is far more common – systems designed to trade stocks and shares or maneuver an autonomous vehicle intelligently would fall into this category.

Generalized AIs – systems or devices which can, in theory, handle any task – are less common, but this is where some of the most exciting advancements are happening today. It is also the area that has led to the development of Machine Learning. Often referred to as a subset of AI, it’s more accurate to consider it the current state-of-the-art.

Machine Learning applications can read the text and determine whether the person who wrote it is making a complaint or offering congratulations. They can also listen to a piece of music, decide whether it will likely make someone happy or sad, and find other music details to match the mood. In some cases, they can even compose their music expressing the same themes, or which they know is likely to be appreciated by the admirers of the original piece.

Two significant breakthroughs led to the emergence of Machine Learning as the vehicle driving AI development forward at the current speed.

One of these was the realization that rather than teaching computers everything they need to know about the world and how to carry out tasks, it might be possible to teach them to learn for themselves.

The second, more recently, was the emergence of the internet, and the massive increase in the amount of digital information being generated, stored and made available for analysis.

Once these innovations were in place, engineers realized that rather than teaching computers and machines how to do everything, it would be far more efficient to code them to think like human beings and then plug them into the internet to give them access to all of the information in the world.

Neural Networks

A Neural Network is a computer system designed to work by classifying information in the same way a human brain does. It can be taught to recognize, for example, images and rank them according to the elements they contain.

Essentially it works on a system of probability – based on data fed to it; it can make statements, decisions or predictions with a degree of certainty. The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong, it modifies the approach it takes in the future.

These are all possibilities offered by systems based around ML and neural networks. Thanks in no small part to science fiction, the idea has also emerged that we should be able to communicate and interact with electronic devices and digital information as naturally as we would with another human being. To this end, another field of AI, Natural Language Processing (NLP), has become a source of hugely exciting innovation in recent years and is heavily reliant on ML.

NLP applications attempt to understand natural human communication, either written or spoken and communicate with us using similar, natural language. ML is used here to help machines understand the vast nuances in human language and to learn to respond in a way that a particular audience is likely to comprehend.

Artificial Intelligence has a lot to offer. With its promise of automating mundane tasks and offering creative insight, industries in every sector, from banking to healthcare and manufacturing, are reaping the benefits.

Machine Learning has certainly been seized as an opportunity by marketers. After AI has been around for so long, it’s possible that it started to be seen as something that’s in some way “old hat” even before its potential has ever been achieved. There have been a few false starts along the road to the “AI revolution,” and the term Machine Learning certainly gives marketers something new, shiny, and, importantly, firmly grounded in the here-and-now.

The fact that we will eventually develop human-like

AI Valet

AI Valet Profile

Version 2.5
Monday, 30 October
2 pm

9 November v 2.75 at 2:30 pm

AI Valet is planning includes comprehensive offerings

Traditional meanings include:
a man’s personal male attendant, responsible for his clothes and appearance. And a person employed to park cars.

Commonly, upscale retailers, restaurants and others offer Vehicle Valets.

Philanthropists

Artificial Intelligence (AI) Valets will utilize information technologies within vehicle original equipment manufacturers (OEM) capabilities.

TeslaBot And Teslas vehicles have factory installed or over-the-air downloadable Advanced Driving Systems (ADS) features of enhanced Autopilot enable special vehicle autonomous parking and returning functionality.

Planning artificial intelligence valet service.

Urban markets and other including overnight parking.

Valet (Definition) original:

a man’s personal male attendant, responsible for his clothes and appearance

Possibly Valet Services:
Participants a man’s personal male attendant, responsible for his clothes, appearance and transits (by AI electric vehicles- private ground transportation), as AI Safety Driver.

Military branches and law enforcement

Offering not intended for military branches or law enforcement agencies. Coaching provided Individuals fully supported.

Disclaimer
Information provided on best effort basis not to be relied upon for decision making. All information subject to change without notice.

Forward-looking statements
Information provided contains a significant amount of forward looking statements that may or may not happen or be offered in the future information not to be relied upon as factual occurrences.

Open source non-proprietary
All information is open source and non-proprietary it can be used by anyone for useful purposes at any time.

Secured domains for aiValet plans:

Some domains will be forwarded

.COM Domain Registration:

aivaletservice.com

.ORG Domain Registration:

aivaletservice.org

.COM Domain Registration:

aivaletservices.com

.ORG Domain Registration:

aivaletservices.org

.COM Domain Registration:

aivaletparking.com

.ORG Domain Registration:

aivaletparking.org

Additional:
.ORG Domain Registration

aivalet.org

Background

val·et
/vaˈlā,ˈvalət/

Definitions:

a man’s personal male attendant, responsible for his clothes and appearance.

Similar:
manservant
man
personal attendant
gentleman’s gentleman
valet de chambre

NORTH AMERICAN
a person employed to park cars.

“he handed his keys to the parking valet

Britannica Dictionary definition of VALET PARKING. US. :

a service in which guests at a hotel, restaurant, etc., can have their cars parked by an employee. — called also valet service.

AI Club

AI Club Profile

Version 2.0
Monday, 09 October
10 am

9 November V 2.75 2:30 pm

AI polytechnic learning program, under development, it’s expected to provide Artificial Intelligence (AI) learning.

Philanthropists, wanted and needed to help make a better world providing artificial intelligence (aI) teaching, researching and public service programs.

Participation encouraged….

Military branches and law enforcement

Offering not intended for military branches or law enforcement agencies. Coaching provided Individuals fully supported.

Disclaimer
Information provided on best effort basis not to be relied upon for decision making. All information subject to change without notice.

Forward-looking statements
Information provided contains a significant amount of forward looking statements that may or may not happen or be offered in the future information not to be relied upon as factual occurrences.

Open source non-proprietary
All information is open source and non-proprietary it can be used by anyone for useful purposes at any time.

Posting:

AI by MIT, interesting….

My new aintelClub (AIC) is ready to educate you.

Coming soon www.aintelclub.org Nonprofit organization

AI Harmless and educational AI Polytechnic institute is planned to provide: teaching, researching and public services, all Open-source.

Philanthropists, wanted and needed to help make a better world with artificial intelligence (AI)

Participation encouraged by everyone.

Subject to change without notice, forward-looking posting. See disclaimers

Background:

What makes something a club?

A club is an association of people united by a common interest or goal. A service club, for example, exists for voluntary or charitable activities. There are clubs devoted to hobbies and sports, social activities clubs, political and religious.

Background by others:

Artificial Intelligence (AI) Academic offering for Executives by Berkeley:

How Is AI Transforming Business?

In 2022, the global artificial intelligence (AI) market was valued at US$136.55 billion. As per Bloomberg, generative AI is anticipated to become a US$1.3 trillion market by 2032. A recent survey by New Vantage Partners found that 91.7 percent of top organizations are investing in AI activities, and 54 percent of organizations using AI reported cost savings and efficiencies in a study by IBM. With advancements in machine learning, automation, and natural language processing, AI is revolutionizing traditional business models in unprecedented ways and is poised to drive a new wave of innovation and evolution across industries. AI offers a vast array of capabilities with virtually limitless potential, including automating repetitive tasks, providing predictive insights, enabling personalized customer experiences, optimizing supply chain management, and improving risk assessment. As AI continues to transform every aspect of modern business, organizations that embrace it will be empowered to unlock new opportunities, achieve operational efficiencies, and drive sustainable growth, gaining a competitive advantage.

In this program, you will:

Learn AI’s current capabilities and applications — and its future potential
Learn how to leverage generative AI models and simulations for prediction.
Learn how to organize and manage successful AI application projects
Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues
Learn how to avoid pitfalls associated with these new technologies
Build your leadership credibility by obtaining a certificate of completion from UC Berkeley Executive Education

Who Is This Program For?

Senior leaders including C-suite executives overseeing the integration of AI into their organizations business strategy
Senior managers and executives involved in managing teams and AI-driven projects
Functional business heads interested in exploring AI opportunities across business functions
Mid-career professionals looking to bolster their career opportunities through new technologies
Data scientists and analysts involved in research for business intelligence or data analytics where AI may be useful
Professionals eager to upskill and advance in their careers with the recent advancement in applications of AI in business

Program Topics
This program helps introduce the basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain deeper knowledge about the reach of automation, machine learning, and robotics.

Module 1: Introduction — AI and Business
Gain a high-level overview of technologies, including capabilities and limitations, while understanding AI, its methods, and its business applications.

Module 2: Machine Learning Basics
Learn about supervised and unsupervised learning and the importance of data and obtaining and managing it for machine learning.

Module 3: Neural Networks and Deep Learning
Understand the transition from traditional machine learning to neural networks and deep learning and their common applications.

Module 4: Key Applications: Computer Vision and Natural Language Processing
Learn about the ways machines see and talk — computer vision and natural language processing — as well as recent developments such as GANs and RNNs.

Module 5: Robotics
Grasp what traditional robotic automation can and cannot do and the new wave of AI-driven automation, such as robots with eyes and robots that can adapt.

Module 6: AI Strategy
Recognize the implications of AI on business strategy and how to develop and execute an AI strategy to create a competitive advantage.

Module 7: AI and Organizations: Building Your AI Team
Discover how to embed AI in your organization and the challenges of organizational transformation.

Module 8: The Future of AI in Business
Identify what new problems AI can help solve, how it will continue to transform businesses, and how you can prepare for the future of AI.

Note: module topics are subject to change.

Holiday Events

Holiday Events Profile

Version 1.5
Saturday, October 7th
10 am

9 November V 1.75 2 pm

Planning many Holiday Events Globally.

Military branches and law enforcement

Offering not intended for military branches or law enforcement agencies. Coaching provided Individuals fully supported.

Disclaimer
Information provided on best effort basis not to be relied upon for decision making. All information subject to change without notice.

Forward-looking statements
Information provided contains a significant amount of forward looking statements that may or may not happen or be offered in the future information not to be relied upon as factual occurrences.

Open source non-proprietary
All information is open source and non-proprietary it can be used by anyone for useful purposes at any time.

Background

Planning something special for this 2023 Halloween.

Participation by philanthropists, entrepreneurs and others, participation is encouraged for Halloween celebrations, nationally in United States and around the world.

Participate….

Background:

Halloween for the year 2023 is celebrated/ observed on Tuesday, October 31st.

Halloween also referred to as Allhalloween, All Hallows’ Eve, or All Saints’ Eve is celebrated yearly on October 31, the eve of the Western Christian feast of All Hallows’ Day or more commonly known as All Saints’ Day. Halloween day is in celebration and remembrance of the dead.

Origin of the word Halloween
The word Halloween or Hallowe’en has a Christian origin dating back to 1745. Hallowe’en means Saints evening and “Hallow” by itself means saints. “Even” means Eve to the Scottish and hence it was later shortened to just “e’en” or “een”. So in time Hallow Even was changed to Hallowe’en and eventually to Halloween.

Orchestra & Theater

Snow White theatrical performance with orchestra at theater.

Possibly, many guests organized by my Charities.

Helping make a better world. Experiences for underprivileged individuals, children and families.

Philanthropists, support and participation is needed.

Planning on hosting and co-hosting many cultural events globally, involved disabled and disadvantaged invites.

AI (Artificial Intelligence)

AI — 9 November v 2.75 2 pm

Version 2.5
Sunday, 1 October
7 pm

9 November v 2.75 2 pm

Artificial intelligence (AI) is a branch of computer science that deals with the goal of creating intelligent machines and systems capable of decision-making, reasoning, learning and acting on their own.

Philanthropists, wanted and needed for the advancement of artificial intelligence and simultaneous, harmless-to-humanity protections.

If you think of AI as a mountain to be scaled, reportedly, we’ve successfully reached basecamp in the first stage of the climb.

As we gaze up to the peak — assuming there is one! — a navigable path to the future stages of AI is complicated.

Artificial Narrow Intelligence (ANI): Also known as “weak” AI, this stage of maturity encompasses all existing AI models created to date.

Artificial General Intelligence (AGI):
Reportly, yet to be achieved, this theoretical stage of AI maturity would involve the ability to closely mimic the complexity of human thought. An example would be a machine that can fluidly learn, adapt, perceive and understand the world around it in the same versatile, multifaceted ways we humans do.

Artificial Super Intelligence (ASI): This hypothetical peak of maturity will be reached if and when an AI develops self-aware cognitive and thinking abilities; when its intelligence — including the ability to think in abstractions — surpasses that of the smartest humans across a broad range of subject matters and capabilities.

Military branches and law enforcement

Offering not intended for military branches or law enforcement agencies. Coaching provided Individuals fully supported.

Disclaimer
Information provided on best effort basis not to be relied upon for decision making. All information subject to change without notice.

Forward-looking statements
Information provided contains a significant amount of forward looking statements that may or may not happen or be offered in the future information not to be relied upon as factual occurrences.

Open source non-proprietary
All information is open source and non-proprietary it can be used by anyone for useful purposes at any time.

Pending Research:

Executive Order codified

Legislation

Status

USA

European Union

United Kingdom (UK)

China

Others

United Nations

Background

Tesla Semi Truck, artificial Intelligence (AI) with driver, passive driver and without driver fully autonomously potentially.

New transportation of people and products.

Futurist world, our AI Polytechnic schools for AI learning.

Philanthropists participation asked to participate to help make a better world.

Article Tesla FSD

Tesla seems to be delivering its vehicles with the Full Self-Driving (FSD) beta pre-installed, according to new reports.

On Saturday, X (formerly Twitter) account WholeMarsBlog posted that Tesla was delivering cars with the FSD beta installed “out of the box,” meaning that buyers of the software would no longer need to wait to download an update after purchasing the add-on. Instead, users who purchase FSD or transfer it from a different vehicle will see it effectively “switched on” without having to wait.

In the past, those purchasing FSD have had to download a software update to install the beta, often having to wait several weeks for the new update to arrive. However, it appears that this is no longer the case, and FSD will now become available as soon as you make your purchase.

One user in the thread noted that a software update wasn’t required when utilizing Tesla’s one-time FSD transfer to new vehicles, saying that the feature was already turned on in the new vehicle when he got it around five weeks ago. As another user points out, the software being pre-installed also means that Tesla has shifted to a single-build release for its cars.

Part 2 *

WholeMarsBlog notes that the news is a pretty big deal, and it could relate to Tesla’s future plans to unveil the FSD system’s next version

In April, Musk said Tesla would reach full autonomy by the end of this year, though he has been known to make overly ambitious claims in the past about the development speed of FSD. Musk has also said that the upcoming FSD v12 will no longer be beta and a massive overhaul in functionality is expected with the version’s forthcoming release.

In August, Musk also live-streamed his experience using FSD v12 on X as the car drove him around Palo Alto, California.

The news of FSD being pre-installed comes on the last day of Tesla’s temporary offer to let customers transfer the FSD beta to a different car, so long as they take delivery by September 30. Although it’s the final day of the offer, reports suggest that Tesla may offer leniency to those who place their orders by this date, offering extensions to anyone who makes “an honest effort to take delivery” by the end of the month.

Updates on the FSD beta’s recent developments were detailed earlier this month in excerpts leading up to the release of Walter Isaacson’s biography of Tesla CEO Elon Musk and in the book itself. Isaacson notes Tesla’s shift away from a “rules-based” approach with FSD, instead opting for a network-path-based one relying more heavily on training the system’s neural network with real-world footage from drivers.

Article

July 25, 2023

What is Artificial Intelligence?

Learn the basics of artificial intelligence and large language models, including a brief history, benefits and key business applications.

Artificial intelligence (AI) is a branch of computer science that deals with the goal of creating intelligent machines and systems capable of decision-making, reasoning, learning and acting on their own.

Instead of a standalone technology, AI relies on an array of high-performance architectures to function. This technology stack includes hardware and software components spanning automation and orchestration, high-performance computing, high-performance storage, and high-performance networking.

This purpose-built infrastructure supports the most common AI-driven technologies in use today, such as machine learning (ML) and deep learning (DL), natural language processing (NLP), large language models (LLMs) and generative AI, computer vision, evolutionary computation, robotics and robotic process automation (RPA), speech and pattern recognition, cognitive computing, expert systems, augmented reality, biometrics, facial recognition and more.

A mature and coherent data strategy is likewise important as the success of any AI/ML program or product ultimately comes down to a question of data quality.

3 notional stages of AI maturity
We can categorize AI maturity into three stages based on current capabilities and theoretical future advancements.
If you think of AI as a mountain to be scaled, we’ve successfully reached basecamp in the first stage of our climb.
As we gaze up to the peak — assuming there is one! — a navigable path to the future stages of AI maturity remains very much clouded. Our ability to understand and overcome the engineering and philosophical challenges that litter this rocky terrain continues to be a topic of debate in academic circles and AI research and development (R&D) teams.

The three stages of AI maturity are:

Artificial Narrow Intelligence (ANI): Also known as “weak” AI, this stage of maturity encompasses all existing AI models created to date. The learning algorithms used in these systems are designed to autonomously perform specific functions and are unable to do more than one narrowly defined task without human intervention. When we talk about AI applications in business, we’re always talking about ANI.

Artificial General Intelligence (AGI): Yet to be achieved, this theoretical stage of AI maturity would involve the ability to closely mimic the complexity of human thought. An example would be a machine that can fluidly learn, adapt, perceive and understand the world around it in the same versatile, multifaceted ways we humans do.

Artificial Super Intelligence (ASI): This hypothetical peak of maturity will be reached if and when an AI develops self-aware cognitive and thinking abilities; when its intelligence — including the ability to think in abstractions — surpasses that of the smartest humans across a broad range of subject matters and capabilities.

Organizations across industries are applying ANI to a wide range of problems, including game playing, medical diagnosis, speech recognition, content generation, visual indexing and generation, translation and much more.

Recent advances in large language models (LLMs) and generative AI (GenAI) have moved ANI closer than ever to mimicking human intelligence and complex decision-making.

With all the excitement generated by LLMs and GenAI, you may be asking where these AI advancements came from.

part 2

As Moore’s law played out and compute power continued to grow at exponential rates, the millennium ushered in a new era of neural networks.

Built to mimic the intricate networking of the human brain, these models could capture the semantics of a dataset while predicting the next word in a sequence.

Still, neural networks were limited in terms of the ability to make associations and use long-term memory.

Part 3

(Place Here)

Who warned against AI?

In a Senate testimony after the meeting, Mr. Altman warned that the risks of advanced A.I. systems were serious enough to warrant government intervention and called for regulation of A.I. for its potential harms.May 30, 2023

AI Harmless

aiHarmless

Artificial Intelligence (AI)

Version 5.0

Friday September 29th

11:45 am

aiHarmless  — 9 November v 5.75 2 pm

ai Harmless

 Artificial Intelligence (AI) concerns. Potentially, supporting US Federal legislation advocating artificial intelligence guardrails to protect humanity globally.

Elon’s point of view is considered.

I might submit written comments to the United States Federal Government and other countries and groups. Additionally, I might testify in person, at public hearings on Capitol Hill (in the past I have testified as an expert witness). I have attended public hearings before on Capitol Hill, in Washington DC. I have submitted written comments before.

It’s important to consider influencing artificial intelligence US Federal Legislation. First step normally and could be is voluntary complaints.

The Philanthropists are wanted and needed to help make it better for the World to participate.

More to come…. complicated subject.

niche focus is related to AI learning (Tesla Bots, Optimus, video learning with AI). Artificial General Intelligence (AGI)

Ways to increase productivity.

AI polytechnic 

Polytechnic learning, support re-careering. 

Potential, minimum earnings programs.

Balancing US Federal Budget with Artificial Intelligence (AI) increased productivity.

Military branches and law enforcement

Offering not intended for military branches or law enforcement agencies. Coaching provided Individuals fully supported.

Disclaimer

Information provided on best effort basis not to be relied upon for decision making. All information subject to change without notice.

Forward-looking statements

Information provided contains a significant amount of forward looking statements that may or may not happen or be offered in the future information not to be relied upon as factual occurrences.

Open source non-proprietary

All information is open source and non-proprietary it can be used by anyone for useful purposes at any time.

Research:

TECH LEADERS AND CONGRESS DISCUSS AI REGULATION: WHAT HAPPENED?

September 18, 2023

by Glory Kaburu

CONTENT

Tech leaders and Congress unite on AI regulation, seeking the right balance between innovation and safety.

Bipartisan concerns raised over the closed-door format, as senators push for AI legislation.

Elon Musk calls for an AI “referee” to ensure AI actions are safe and in the public interest.

In a rare gathering of global technology leaders, some of the brightest minds in the tech industry convened in Washington, D.C., to discuss the future of artificial intelligence (AI) in the United States. This meeting, as reported by The New York Times on September 13, 2023, featured prominent figures like Elon Musk, Mark Zuckerberg, and Sam Altman, who engaged in public and private discussions with members of Congress. Unlike the usual antitrust hearings or investigations into data breaches, this meeting sought to explore the complex questions surrounding the regulation of AI.

The distinguished attendees

CNBC reported that the meeting saw the participation of top tech executives, including:

– Sam Altman, CEO of OpenAI

– Bill Gates, former CEO of Microsoft

– Jensen Huang, CEO of Nvidia

– Alex Karp, CEO of Palantir

– Arvind Krishna, CEO of IBM

– Elon Musk, CEO of Tesla and SpaceX

– Satya Nadella, CEO of Microsoft

– Sundar Pichai, CEO of Alphabet and Google

– Eric Schmidt, former CEO of Google

– Mark Zuckerberg, CEO of Meta

The closed-door meeting was attended by more than 60 senators, offering an environment conducive to open discussions without the usual constraints of a public hearing.

Key areas of discussion:

Sundar Pichai, CEO of Google, outlined four critical areas where Congress could play a pivotal role in AI development, according to his prepared remarks:

Supporting innovation:

 Crafting policies that foster innovation, including investments in research and development and immigration laws that attract talented AI professionals to the United States.

Government use of AI: 

Promoting the adoption of AI within government agencies to enhance efficiency and effectiveness.

Addressing significant challenges: Applying AI solutions to tackle pressing issues such as cancer detection and other major societal problems.

Workforce transition: 

Advancing an agenda for workforce transition that benefits all individuals, ensuring that AI-driven advancements do not leave anyone behind.

Bipartisan concerns

However, not all senators were in favor of this meeting format. Connecticut Democratic Senator Richard Blumenthal and Missouri Republican Senator Josh Hawley criticized the closed-door approach, expressing doubts about its effectiveness in addressing the societal risks associated with AI.

 They had recently introduced a legislative framework for AI regulation that includes the creation of an independent AI oversight body, a licensing regime for AI development, and the ability for individuals to sue companies over AI-related harms. They were adamant about moving forward with their proposed framework and potentially drafting a bill by the year’s end.

Blumenthal emphasized the need for AI safety regulation akin to the regulations governing airline safety, car safety, drug safety, and medical device safety. He argued that AI safety was equally important, if not more so, due to its potential impact.

A thoughtful conversation

New Jersey Democratic Senator Cory Booker described the discussions as a “thoughtful conversation.” 

He emphasized that all panel members believed in the government’s regulatory role in AI. Finding the right regulatory role was identified as a challenging task, crucial to safeguarding the nation and humanity from the risks posed by AI.

A call for a referee

Elon Musk, the CEO of Tesla, called for the appointment of a U.S. “referee” for artificial intelligence. 

He, along with Mark Zuckerberg and Sundar Pichai, met with lawmakers behind closed doors at Capitol Hill to discuss AI regulation. Musk likened the need for a regulator to the role of referees in sports, stating that such an entity would ensure that companies take actions that are safe and in the interest of the general public.

 Musk considered this meeting a “service to humanity” and suggested it might be a historically significant step in shaping the future of civilization.

Learning from china’s approach

While the United States grapples with the complexities of AI regulation, it’s worth noting that China has been proactive in enacting AI regulations over the past two years. These regulations, though differing in ideological content, offer valuable lessons in structuring AI governance. China has adopted a targeted and iterative approach, focusing on specific AI applications and gradually introducing regulations to address concerns. This approach allows for the development of policy tools and regulatory expertise over time

Notes:

Artificial Intelligence (AI) protection program 

aiHarmless.org domain (universal markup language URL) was acquired. Secured the aiHarmless.com extension with the aiHarmless.org extension. 

Planning on using the .org extension, because planning to have AI harmless operating as a nonprofit organization. (.org) plan to automatically forward online the .com inquiries to .org website.

www.aiharmless.org coming soon

Under Construction websites independently coming soon. In the interim content, as other content, publicly accessible, everything is open-source, non-proprietary.

Planning, with many others, on determining and implementing ways to protect Humanity from negativities of Artificial Intelligence (AI). 

US Federal Legislation, is expected to provide guardrails for Artificial Intelligence. Planning on active involvement in everything AI. Niche AI focuses: transportation and medicines. 

Additionally, evCharity domain. For supporting electric vehicle (EVs) for disadvantaged. The nonprofit organization planning to provide, mobility to individuals for many beneficial purposes. Transportation of people and products to benefit mankind globally.

www.evcharity.org coming soon 

Philanthropists, wanted and needed help make a better world and protect Humanity from negativities potentially of artificial intelligence.

Participation encouraged… join us…. help make a better world.

National Artificial Intelligence Initiative Office:

Located in the White House Office of Science and Technology Policy (OSTP), the National Artificial Intelligence Initiative Office (NAIIO) is legislated by the National Artificial Intelligence Initiative Act (DIVISION E, TITLE LI, SEC. 5102) to coordinate and support the National AI Initiative (NAII). The Director of the NAIIO is appointed by the Director of OSTP. The NAIIO is tasked to:

Provide technical and administrative support to the Select Committee on AI (the senior interagency committee that oversees the NAII) and the National AI Initiative Advisory Committee;

Oversee interagency coordination of the NAII;

Serve as the central point of contact for technical and programmatic information exchange on activities related to the AI Initiative across Federal departments and agencies, industry, academia, nonprofit organizations, professional societies, State and tribal governments, and others;

Conduct regular public outreach to diverse stakeholders; and

Promote access to technologies, innovations, best practices, and expertise derived from Initiative activities to agency missions and systems across the Federal government.

The NAIIO staff include employees on detail assignments from across the government.

Background

Article Elon AI (Time Magazine from Book): 

At a conference in 2012, Elon Musk met Demis Hassabis, the video-game designer and artificial–intelligence researcher who had co-founded a company named DeepMind that sought to design computers that could learn how to think like humans.

“Elon and I hit it off right away, and I went to visit him at his rocket factory,” Hassabis says. While sitting in the canteen overlooking the assembly lines, Musk explained that his reason for building rockets that could go to Mars was that it might be a way to preserve human consciousness in the event of a world war, asteroid strike, or civilization collapse.

 Hassabis told him to add another potential threat to the list: artificial intelligence. Machines could become superintelligent and surpass us mere mortals-perhaps even decide to dispose of us.

*********

At Musk’s 2013 birthday party in Napa Valley, California, they got into a passionate debate. Unless we built in safeguards, Musk argued, artificial-intelligence-systems might replace humans, making our species irrelevant or even extinct.

Page pushed back. Why would it matter, he asked, if machines someday surpassed humans in intelligence, even consciousness? It would simply be the next stage of evolution.

Human consciousness, Musk retorted, was a precious flicker of light in the universe, and we should not let it be extinguished. Page considered that sentimental nonsense. If consciousness could be replicated in a machine, why would that not be just as valuable? He accused Musk of being a “specist,” someone who was biased in favor of their own species. “Well, yes, I am pro-human,” Musk responded. “I f-cking like humanity, dude.”

The effort failed, and Google’s -acquisition of DeepMind was announced in January 2014. Page initially agreed to create a “safety council,” with Musk as a member. The first and only meeting was held at SpaceX. Page, Hassabis, and Google chair Eric Schmidt attended, along with Reid Hoffman and a few others. Musk concluded that the council was basically bullsh-t.

So Musk began hosting his own series of dinner discussions on ways to counter Google and promote AI safety. He even reached out to President Obama, who agreed to a one-on-one meeting in May 2015. Musk explained the risk and suggested that it be regulated. “Obama got it,” Musk says. “But I realized that it was not going to rise to the level of something that he would do anything about.”

Musk then turned to Sam Altman, a tightly bundled software entrepreneur, sports-car enthusiast, and survivalist who, behind his polished veneer, had a Musk-like intensity. At a small dinner in Palo Alto, they decided to co-found a nonprofit artificial-intelligence-research lab, which they named OpenAI. It would make its software open-source and try to counter Google’s growing dominance of the field. “We wanted to have something like a Linux version of AI that was not controlled by any one person or corporation,” Musk says.

One question they discussed at dinner was what would be safer: a small number of AI systems that were controlled by big corporations or a large number of independent systems? They concluded that a large number of competing systems, providing checks and balances on one another, was better. For Musk, this was the reason to make OpenAI truly open, so that lots of people could build systems based on its source code. 

Another way to assure AI safety, Musk felt, was to tie the bots closely to humans. They should be an extension of the will of individuals, rather than systems that could go rogue and develop their own goals and intentions. That would become one of the rationales for Neuralink, the company he would found to create chips that could connect human brains directly to computers.

????? Section missing ????

Musk’s determination to develop artificial-intelligence capabilities at his own companies caused a break with OpenAI in 2018. He tried to convince Altman that OpenAI should be folded into Tesla. The OpenAI team rejected that idea, and Altman stepped in as president of the lab, starting a for-profit arm that was able to raise equity funding, including a major investment from Microsoft.

So Musk decided to forge ahead with building rival AI teams to work on an array of related projects. These included Neuralink, which aims to plant microchips in human brains; Optimus, a human-like robot; and Dojo, a supercomputer that can use millions of videos to train an artificial neural network to simulate a human brain. It also spurred him to become obsessed with pushing to make Tesla cars self-driving. 

At first these endeavors were rather independent, but eventually Musk would tie them all together, along with a new company he founded called xAI, to pursue the goal of artificial general intelligence.

In March 2023, OpenAI released GPT-4 to the public. Google then released a rival chatbot named Bard. The stage was thus set for a competition between OpenAI-Microsoft and DeepMind-Google to create products that could chat with humans in a natural way

???? Missing ???? 

His compulsion to ride to the rescue kicked in. He was resentful that he had founded and funded OpenAI but was now left out of the fray. AI was the biggest storm brewing. And there was no one more attracted to a storm than Musk.

In February 2023, he invited—perhaps a better word is summoned—Sam Altman to meet with him at Twitter and asked him to bring the founding documents for OpenAI. Musk challenged him to justify how he could legally transform a nonprofit funded by donations into a for-profit that could make millions. Altman tried to show that it was all legitimate, and he insisted that he personally was not a shareholder or cashing in. He also offered Musk shares in the new company, which Musk declined.

Instead, Musk unleashed a barrage of attacks on OpenAI. Altman was pained. Unlike Musk, he is sensitive and nonconfrontational. He felt that Musk had not drilled down enough into the complexity of the issue of AI safety. However, he did feel that Musk’s criticisms came from a sincere concern. “He’s a jerk,” Altman told Kara Swisher. “He has a style that is not a style that I’d want to have for myself. But I think he does really care, and he is feeling very stressed about what the future’s going to look like for humanity.”

The fuel for AI is data. The new chatbots were being trained on massive amounts of information, such as billions of pages on the internet and other documents. Google and Microsoft, with their search engines and cloud services and access to emails, had huge gushers of data to help train these systems.

What could Musk bring to the party? One asset was the Twitter feed, which included more than a trillion tweets posted over the years, 500 million added each day. It was humanity’s hive mind, the world’s most timely dataset of real-life human conversations, news, interests, trends, arguments, and lingo. Plus it was a great training ground for a chatbot to test how real humans react to its responses. The value of this data feed was not something Musk considered when buying Twitter. “It was a side benefit, actually, that I realized only after the purchase,” he says.

Twitter had rather loosely permitted other companies to make use of this data stream. In January 2023, Musk convened a series of late-night meetings in his Twitter conference room to work out ways to charge for it. “It’s a monetization opportunity,” he told the engineers. It was also a way to restrict Google and Microsoft from using this data to improve their AI chatbots. He ignited a controversy in July when he decided to temporarily restrict the number of tweets a viewer could see per day; the goal was to prevent Google and Microsoft from “scraping” up millions of tweets to use as data to train their AI systems. 

Between Twitter’s data feed and the 160 billion frames per day of video that Tesla has received, Musk is sitting on a stockpile of information that could help create AI for physical robots, not just text-generating chatbots.

There was another data trove that Musk had: the 160 billion frames per day of video that Tesla received and processed from the cameras on its cars. This data was different from the text-based documents that informed chatbots. It was video data of humans navigating in real-world situations. It could help create AI for physical robots, not just text-generating chatbots.

The third goal that Musk gave the team was even grander. His over-riding mission had always been to assure that AI developed in a way that helped guarantee that human consciousness endured. That was best achieved, he thought, by creating a form of artificial general intelligence that could “reason” and “think” and pursue “truth” as its guiding principle. You should be able to give it big tasks, like “Build a better rocket engine.”

Someday, Musk hoped, it would be able to take on even grander and more existential questions. It would be “a maximum truth-seeking AI. It would care about understanding the universe, and that would probably lead it to want to preserve humanity, because we are an interesting part of the universe.” That sounded vaguely familiar, and then I realized why.

He was embarking on a mission similar to the one chronicled in the formative (perhaps too formative?) bible of his childhood years, the one that pulled him out of his adolescent existential depression, The Hitchhiker’s Guide to the Galaxy, which featured a super-computer designed to figure out “the Answer to The Ultimate Question of Life, the Universe, and Everything.”

Isaacson, former editor of TIME, is a professor of history at Tulane and the author of numerous acclaimed biographies. 

Reportly….Adapted from the book Elon Musk by Walter Isaacson, published by Simon & Schuster Inc.

Can Elon Musk really save the world?  article:

Can Elon Musk really save the world?
Fortune Magazine, by Peter Vanham

Earth faces an imminent threat, and unless we change our course, human life as we know it will become impossible here. What do we do?

Most would say we must do all we can to prevent that bleak scenario by limiting the harmful impact of human activities. “There is no planet B,” environmentalists point out.

Ask the billionaire Elon Musk, however, and you may get a very different reply. “We don’t want to be one of those single-planet species,” Musk said in 2021 at the launch of a SpaceX rocket into orbit. “We want to be a multi-planet species.” Musk added that he is “highly confident” that SpaceX will land humans on Mars in the near future.

It’s a mindset akin to that of the Krypton scientist Jor-El, father of DC Comics’ Superman: As your planet explodes, send your offspring away in a space pod to ensure the survival of your species elsewhere in the galaxy. And indeed, Musk doesn’t seem to have let go of his childhood fascination with dashing, planet-hopping superheroes.

Growing up in Pretoria, South Africa, “I read all the comics I could find, or that they let me read in the bookstore before chasing me away,” Musk has said in a documentary. In those tales, superheroes vanquished evil on Earth and beyond, and humans and other species faced off in faraway galaxies.

The Musk we know today—the bombastic entrepreneur, admired and abhorred around the world—has styled himself as the embodiment of these fictional characters: a man who believes in his ability to singlehandedly save humanity. His superhero philosophy puts him at odds with environmentalists, who believe in the power of the collective, rather than that of any individual “great man,” to solve humanity’s greatest challenges.

And it’s one clue to unpacking a fundamental conundrum about Elon Musk. Why is a person whose technology for electric vehicles, solar energy, and energy storage has done so much to advance the green transition so reviled in the environmentalist community? Why do climate activists abandon his social media platform and mock him at their protests? How green is Elon Musk, really? The answer requires a journey across time and into space.

The year of Musk’s birth, 1971, was a turning point for humanity. It was the first year humans lived beyond the planet’s biocapacity, scientists at the Global Footprint Network calculated decades later. In the U.S., awareness was rising about smog, acid rain, and the contamination of water supplies; in 1970 the first Earth Day was held, the Environmental Protection Agency was created, and the Clean Air Act was passed.

But environmental concerns wouldn’t have ranked high on the young Musk’s radar. As a boy, as Walter Isaacson recounted in his recent biography, Musk was sent by his father to several “survival camps” where he had to literally fight to get food, once losing 10 pounds. On another occasion, he was beaten so badly by bullies at school that he was hospitalized.

The boy Elon found an escape, and a source of inspiration, in the moral certainty of his favorite superheroes, he later said in an interview: “I mean, they’re always trying to save the world, with their underpants on the outside or these skintight iron suits.” He looked to science fiction for philosophical guidance as well. One of his favorite books growing up, he told Isaacson and others, was The Hitchhiker’s Guide to the Galaxy, published when he was eight. The satirical story follows the only man to survive the destruction of planet Earth and his travels in outer space. Among Musk’s takeaways from the book, he said in a CBS interview, is that “the universe is the answer.” (Emails to Tesla and to Musk seeking comment for this story were not returned.)

Confined for now to planet Earth, Musk was fascinated by the New World, and more specifically, the United States. It was the land his superheroes hailed from, and of the unbridled, free-spirited capitalism of President Ronald Reagan and the economist Milton Friedman. (Many years later, Musk would invoke Friedman in calling a Biden administration spending bill “trickery,” and echo Reagan, telling the telling the Wall Street Journal that “government should, I think, just try to get out of the way and not impede progress.”)

Musk ejected himself from the turmoil of apartheid-era South Africa at 17 to enroll at Queen’s University in Canada, where his mother’s relatives lived. He has said he made this decision in part to avoid compulsory service in the South African military. “Who wants to serve in a fascist army?” he said. As soon as he could, he transferred to the U.S. college system, pursuing degrees at the University of Pennsylvania and Wharton, and ending his academic career at Stanford, where he was admitted to a doctoral program but dropped out to pursue entrepreneurship.

Musk never lost his superhero mindset. As Sam Altman, the CEO of OpenAI, told Ronan Farrow in a recent New Yorker profile: “Elon desperately wants the world to be saved. But only if he can be the one to save it.”

Looking at his track record of developing technology for electricity and renewable energy, there’s certainly a case to be made that Musk has not just proved himself to be green; he’s super-green.

“Elon Musk will go down in the history books as having helped the transportation sector from fossil fuel to zero-emissions electrification,” said Margo Oge, a former director of the EPA’s Office of Transportation and Air Quality, who has at times been critical of Musk, in an interview with Fortune. “We would not find ourselves where we are today, with trillions of dollars invested in decarbonizing transport, if it wasn’t for him.”

transforming the energy economy. Despite Musk’s contributions, CO2 emissions globally are still rising at alarming rates. The exploitation and burning of fossil fuels continues apace. Temperatures have already risen about one degree Celsius above 20th-century averages and continue to rise. Unprecedented storms wreak havoc, and forests around the world burn.

Sure, Musk has boldly gone where no one has gone before, and several times he has snatched victory from the jaws of defeat. But that’s where the comparisons to Superman and Iron Man end. Superheroes can bend reality, time-travel, and use magic to transcend what’s physically possible. Elon Musk can’t.

Perhaps it is us, as a society, who need to let go of the fantasy of any one superhero or technological innovation changing the status quo on climate change. To address the crisis humanity faces, technological innovations are necessary, but not sufficient. Individual and collective choices, government policies, and international agreements make up the other pieces of the puzzle.

Individual humans have flaws, no matter how innovative or visionary they are. Musk is no exception to that rule. And even if he were a flawless superhero, we would need many more than one Superman to make a green transition happen. We’d need a superhero universe.

Or better still, an entire species, committed to that goal.

This article appears in the October/November 2023 issue of Fortune with the headline, “How green is Elon Musk, really?”

“Elon Musk will go down in the history books as having helped the transportation sector from fossil fuel to zero-emissions electrification,” said Margo Oge, a former director of the EPA’s Office of Transportation and Air Quality, who has at times been critical of Musk, in an interview with Fortune. “We would not find ourselves where we are today, with trillions of dollars invested in decarbonizing transport, if it wasn’t for him.”

transforming the energy economy. Despite Musk’s contributions, CO2 emissions globally are still rising at alarming rates. The exploitation and burning of fossil fuels continues apace. Temperatures have already risen about one degree Celsius above 20th-century averages and continue to rise. Unprecedented storms wreak havoc, and forests around the world burn.

Sure, Musk has boldly gone where no one has gone before, and several times he has snatched victory from the jaws of defeat. But that’s where the comparisons to Superman and Iron Man end. Superheroes can bend reality, time-travel, and use magic to transcend what’s physically possible. Elon Musk can’t.

Perhaps it is us, as a society, who need to let go of the fantasy of any one superhero or technological innovation changing the status quo on climate change. To address the crisis humanity faces, technological innovations are necessary, but not sufficient. Individual and collective choices, government policies, and international agreements make up the other pieces of the puzzle.

Individual humans have flaws, no matter how innovative or visionary they are. Musk is no exception to that rule. And even if he were a flawless superhero, we would need many more than one Superman to make a green transition happen. We’d need a superhero universe.

Or better still, an entire species, committed to that goal.

This article appears in the October/November 2023 issue of Fortune with the headline, “How green is Elon Musk, really?”

Master Plan – 13 December updated version #31 list of Profiles

Professional Activities including philanthropic non-profit organizational activity.

Master Plan — version 31 — 13 December, Wednesday

Detailed Subject Profiles published at Steven Cote Facebook with pictures. Private website without pictures: www.stevenpaulcote.com

Table of Contents (Subject Profiles about 118)

AI Studios & Galleries

AI Videographer

AI Videography

Incident Profile

Video Capabilities

Streaming Video

AI Awares

Dome Profile

Tesla Streaming

AI Imagery

AI Briefing

AI HQ

AI Security Assets

AI Instructor
Humanoid Robots
Safety Driver
AI Rescues
AI Valet
AI Club
Holiday Events
AI – Artificial Intelligence
AI Polytech
AI Harmless

Steven Paul Cote Profile
Boating & Yachting
Mini-Cybertruck
evSecurity
Sports Action Camera
List of Assets
evTraveling
Status
Critical Event
Experiences
Mobility
Tethered Drones
Cyber Fleet
Squares, Chairs Food & Drinks
Bundling 2.0
Flash Mob
Humanoid Robot’s
evClub
Cyber Medical
Reserved Squares/Do Not Disturb
Lifestyle
Photos/Videos
Marketplace
Gardening/Garnishing
Charging Places
Trillion evStation’s
Ready-to-Drink
Bundling
evStation’s 2.0
Regulatory Relief
Driving
Philanthropist
Ultra Multimedia
a la Carte
Hospitality
Ecotourism
Fundraisers
Authentication
Town & County
Racing
Imagery AI
Implementation
Generation (Electricity)
Sheltering
Digital Microscopes
Video
Fundraising
EVs for Charity
Charging EVs
Outdoor Kitchens
Video Displays
Healthcare
Multimedia
Learning
evTravel
Executive Protection 2.0
evEvents
evTransport
Request for Proposals & Participation
evFleet & Robotaxing
Parade of Transportation
Robo-taxis
Effectively Donating
Cybervision Mission
EV Driver Training
Special Events
Venue
Mission Capability Statement – Part Three
Mission Planning After Action Report -Part Two
Mission Planing – Part One
Education & Learning
Advance Communication
Humanoid (Robot’s)
Philanthropy & Charity
Training
Temporary Emergency Housing, Transportation & Decontamination/Showering
Autonomous Vehicles & Artificial Intelligence
Energy Storage
Bottled Beverages
Grills — Electric/Pellets
Refrigeration — Dry Aging (Steak Locker)
Refrigeration FX (tub drawer)
Geodesic Dome’s
Dining Experiences
evStation’s
Artificial Intelligence & Artificial General Intelligence
Clean Energy
evFrieght
Executive Protection
Search & Rescue
Cyberbooth
Testing & Training
Procurement Policy

Safety Driver

Safety Driver Profile

Version 5.5
Thursday, 26 October
12:30 pm

Safety Driver

Artificial Intelligence (AI) driver training availability coming soon everywhere.

Become a certified ai Safety Driver. Planning virtual and physical AI driver training for vehicle operators and independent safety drivers. Be vehicle safer with technology, training and safety drivers.

Artificial Intelligence (AI) transportation for people and products coming soon globally.

Current and future, ai capable electric vehicle owners soon can Opt-in to revenue generating opportunities. Donations including in-kind (vehicle use) for charity coming soon (potentially including tax deductibility donation).

Potentially helping to make better world with charitable mobility. Unfortunately, many people need safe, reliable and affordable ground transportation. Now it’s possiblly coming soon to disabled, disadvantaged and others.

aiSafetyDriver and aiSafetyDrivers new domains (URL -universal markup language, for www. Website secured: both .com (forprofit) and .org (nonprofit) for offerings.

Philanthropists, wanted and needed to help make a better world focused on utilizing artificial intelligence (AI)

Artificial Intelligence (AI) enabled vehicles, potentially can reduce vehicle deaths and injuries from vehicles.

Artificial Intelligence system management by AI Safety Drivers is planned. AI equipped vehicles can be assigned a safety driver, that person is responsible for maintenance of the advanced driving system (ADS). Over-the-air software updates downloads and testing. Verification of fully correct vehicle operating conditions. Other vehicle safety inspection, training provided and admission ongoing by Safety Drivers are offered.

Complete vehicle management, all vehicles owned by participants, is planned preformed by Safety Drivers.

Full Self Driving (FSD) is proposed by Tesla. Many software updates are offered. Proper updating is important. Technology Tasks and others including vehicle charging, cleaning and other vehicle related aspects can be performed by Safety Drivers.

Tesla advanced driver assistance systems, currently offer my beneficial features. Enhanced Autopilot, reportly, has valuable Parking capabilities: Park Seek (self parking, on public roads currently require Safety Driver behind the wheel) and Park summon (vehicle returns to spot, on public road a likely required driver. evValet, special offering is planned and supported, utilizing AI Safety Drivers on location.

Potentially, public road autonomous driving regulation likely to occur incrementally. Under detailed set of rules, weather conditions and possibly geographically. Some roads allowed for vehicle autonomous operation. Safety drivers augmentation could be beneficial.

Planning to enable and support trusted relationship between vehicle owners and safety drivers for exclusive services, including scheduled re-occuring passager and product trips. Friends and Family transportation preferred safety drivers is planned. Like having a full-time exclusive private driver (shared).

Potentially, ai safety drivers will preform limited physical driving. Vehicle charging, maintenance and overall vehicle(s) management services, exspecialy technological systems likely to be the value-added proposition.

Small fleets of AI vehicles with AI safety drivers, could possibly be significantly financially beneficial. It could possibly highly profitable.

Robotaxing vs. safety drivers
Consumer transportation by potential Robo Taxes simply means driverless (No driver expenses) safety drivers have cost. Perhaps, beautiful for consumers confidence and comfort, even without actually driving the vehicle. Toggling, between driver and driverless expected to be eazy.

Regulation requires reporting to US Federal Agencies for large fleet autonomously operated vehicle accident reporting. Safety drivers planned to be responsible for compliance.

Focused exclusively with electric vehicles (EVs including RVs) equipped from original equipment manufacturer (OEM) artificial intelligence systems or operated by humans or humanoids (Robots). Supporting best available AI enabled vehicles and all AI electric vehicles.

Passive income opportunities are likely forthcoming for AI vehicles owners, potentially “Opt-in” programs. Single vehicle and/or fleets potentially could offer significant income opportunities.

Perks
Many perks expected for safety drivers. Possibly, including access to special events and much more life experiences.

Agelessness & Genderless
Certified Artificial Intelligence drivers expected agelessness and genderless. Career entry level position for drivers, gig-work, side-hussle opportunities for younger individuals. Retired, re-careering or unemployed individuals certified safety drivers supported and expected. Long-haul and long-trips couple safety driving teams beneficial.

Safety and security for safety drivers protection is planned. In-cabin live-feed multimedia potentially providing increased security comfortable to drivers. Recommended events inside and outside vehicles providing benefits.

Cashless policy increases safety potentially.

Safety Driver (human behind the wheel) can occur immediately. No restrictions or regulations are know to limit operating. The drivers are expected to be “Passive” the autonomous capable vehicle does most of the driving.

Platform Model

Digital Marketplace is planned, digitally connecting certified aiSafetyDrivers with Consumers and aiSafetyDriver with Producers.

Cashless operations, the Marketplace receives/retains a small percentage of each transaction. Instantly, payment for services is required with instant compensation to aiSafetyDrivers and vehicle owners (in some cases vehicle owner is the driver).

Safety
Priority is safety. Pick-up, routing and dropoff will have safety consideration. Artificial Intelligence imagery combined with geographical data, including weather conditions including within safety protocols.

Executive Protection
Enhanced driver safety training is planned to include executive protection driver training, including counter-terrorist driver training.

Individual and small group (including: Friends & families) ai Safety Driver training is planned

In the United States passive income is taxed at 15% owners of AI vehicles with exclusive certificatd safety drivers can potentially have passive transportation fully supported. Small business taxes on income are normally about 30% in the United States. It’s potentially, beneficial to be involved passively.

Defensive driving
Potentially defensive driver training could result in reduction/lowering vehicle insurance cost. Depending on the insurer of the vehicle.

Control
aiSafetyDrivers and vehicle owners planned to have complete control of time and locations. Opt-in operating plan enables maintaining control. Upon completion of transportation, the safety drivers and vehicle owners opt-in again for additional opportunities. Black-out times are planned for advanced calendaring for drivers and vehicles.

Arbitrage
Potentially arbitraging the difference between Revenues and Expenses. Fixed costs monthly vehicle payment, purchase or lease. Vehicle insurance (planning Tesla Insurance) and other monthly payables including advanced space satellite communication services. Veritable expenses include recharging the vehicle and Safety drivers.

Technological and Regulatory, at this time, require vehicle operator for compliance. The vehicle can operate by Artificial Intelligence (advanced Safety driving system) as long as human licensed vehicle operator can take-over driving responsibilities if necessary instantly.

Virtual and physical driver training
Planning on virtual and physical driver training.
Public and private roads are planned for safety driver training. Parking lots, private roads and racetracks are planned for safety driving training, exspecialy for security training including high-speed driver training.

Recreational vehicle (RV) and other off-road drivers training to occur at appropriate geographic location including services from snow to water. Boating and Yatching AI driver training, planned at warm water locations, with marine specialust support. Planning to provide/arrange watercrafts, including for gaining required hours of operation for securing captain licenses.

Bundling
Planning on bundling ground transportation safety drivers with accessibility to many beneficial experiences: food, drinks, special events and much more

Traveling
Certified aiSafetyDrivers, expected to have significant travel opportunities. Potentially, paid time and expenses for traveling to exotic, recreational and fun related destinations.

Equilibrium
Strategically matching supply and demand creating equilibrium is planned between drivers and vehicles to meet the need for ground transportation requirements and request for people and products globally.

Surge capacity planned, adverse weather conditions forces airlines to cancel or significantly delayed flights. Planned airport closer for expanded ground transportation optional opportunities. Safety all weather conditions, including special equipment is planned.

Liability
Comprehensive planning to minimize any liability for participants is planned. Aboriginal equipment manufacturer (OEM) including provider of technologies, to be responsible for providing high-quality products, including over-the-air software updates

What3Words
Planning on unitizing third-party geographical application. What3Words, reportedly has uniquely addressed and provide the smartphone and other application devices 57 trillion uniquely addressed squares approximately 3 meters
-by- 3 meters (10 ft by 10 ft). Participants, encouraged to use What3Words.

Geography squares application coverage reportly covers 100% of the earths land and water surfaces.

Multiple simultaneous revenue streams are possible. Along with the transportation of people and products, potentially with the pre-installed video cameras and additional video cameras (especially: high-resolution 4k/8K) and microphone system insulation could provide revenue streams for imagery and multimedia.

Drones
Tethered drones potentially operating as high as 150 ft in the air and underwater drones operating approximately 33 ft under the water are planned.

Tesla Bot (Optimus) reportedly operated by the same artificial intelligence system of the autonomous vehicle. Believe to be hardware 4 (HW4).

Tesla Motors, appears to be the leader in the space of vehicle passenger and commercial (Trucks) vehicles enabled with artificial intelligence software and Hardware.

Planning to include space satellite communication systems for broadband Internet connection globally (planning SpaceX Starlink hardware, software & Services).

Artificial Intelligence vehicle Simulators are underdevelopment for driver training. Portable, narrow (doorway openings) lightweight Simulators.

evStation’s for charging electric vehicles plan many supportive offerings globally. aiSafetyDrivers lounge planned at evStation’s. Drivers Que position digitally openly sharing planned offering available safety drivers, food and drinks available.

24/7/365 days available for safety driving transportation. On-call backup planned to insure safety drivers available.

Scalability
Unlimited scalability, geographically, fleet volume and ai Safety Drivers.

Individuals planned to own and operate vehicles, providing new special transportation services for people and products.

Robo-Taxi conceptual plans are furthest planned. Drivelless vehicles operating on Public Roads, in the United States and other countries is and will continue to be regulatory challenging (actually, what is needed is “Regulator Relief”) removal of autonomous driverless vehicle operation.

Artificial intelligence policy and legislation to ensure artificial intelligence remains harmless is underdevelopment. Our AI harmless www.aiHarmless.org strartup has started.

Driver training is planning to be offered and supported by our artificial intelligence Polytechnic.

www.aipolytech.org or .com strartup underdevelopment. We also have secured: aiPloytechnic .vim and .org

The executive development team has extensive domestic and global experience as driving instructors. Executive team leadership has been featured on numerous nationwide media programs for safety driving and security counter-terrorism driver training.

Compensation
Safety drivers compensation programs to be determined locally. Potentially, vertical compensation depending on driver’s activity.

Transportation fees
Market based pricing is planned.

Volunteerism
Possibly some safety drivers will volunteer their time to help others or make donations to related nonprofit organization.

Vehicle assets with Safety Drivers
Planning vehicle assets to include passage cars, lightweight trucks (pick-ups) Semi trucks including with towing capacity and authorization. Recreational vehicle assets: personal watercraft (PWC), snowmobiles, all-terrain vehicles (ATVs), Quad’s for kids. Boats and yachts are planned. Operating for commercial, leasure and emergency critical situations. (Boats & Yachts, planned 50 feet in length or less) private operating requires :boat captain license. Artificial Intelligence Captains training supporting licensing is planned.

Rovers
Tracked rovers are planned, remote driver training is planned for operating rovers.

Compact Track Loaders (CTLs)
special driver training for compact track loaders is planned. Limited functionality of accessories/attachments is planned. Non& construction equipment operator training is planned. Movement of products, snow removal and other tasks planned. Potential asbestos removal another human toxic environmental considerations are planned. Drivelless equipment supported remotely driven training planned.

Emergency critical situation
aiSafetyDrivers are planned to support emergency critical situations. Evacuation, prior, during and after including returning to be respectful required.

Food, water and other commodities in small and large quantities are planned, as a part of the safety drivers training program.

Law enforcement and Military
Offering not plan for law enforcement agencies or military branches.

Disclaimer
Offerings are subject to change without notice Cannot, be relied upon to be available publicly or privately.

Forward looking statements
Information provided contain a significant amount of forward-looking statements that may or may not happen in the future.

Open source
Information is non proprietary open source information can be used by anyone at any time for useful and beneficial purposes or by media.

Background supportive information:

Article redacted section:

During Tesla’s quarterly earnings call, Elon Musk repeated a claim that thanks to Tesla FSD, Teslas will all become worth far more — five times— what people are paying for them, and that the $15,000 FSD (full self-driving) package

Article Motor Trend

New Tesla Model 3 vs. Old Tesla Model 3: All the Changes Side-By-Side
Take a look at the new Tesla Model 3 alongside the old to see what’s improved.

Article Safety Driver California

Cruise, General Motors’ self-driving vehicle subsidiary, just got its license suspended. The California Department of Motor Vehicles revoked Cruise’s permits to test and operate fully driverless vehicles on California roads, the agency said in a statement Tuesday.

The suspension applies only to vehicles with no “safety driver,” meaning there is no one in the driver’s seat ready to take over the controls if needed.

Background:

Cruise, General Motors’ self-driving vehicle subsidiary, just got its license suspended. The California Department of Motor Vehicles revoked Cruise’s permits to test and operate fully driverless vehicles on California roads, the agency said in a statement Tuesday.

The suspension applies only to vehicles with no “safety driver,” meaning there is no one in the driver’s seat ready to take over the controls if needed.

aiRescues

AI Rescues Profile

Version 2.5
Saturday, October 21st
3 pm

Artificial Intelligence (AI) Rescues are planned. AI offer’s considerable benefits for rescuing humans and animals, dead or alive, globally.

Assets enabled with Artificial Intelligence potentially, provided significant capabilities for each and rescue (SAR).

Philanthropists, wanted and needed to support AI rescues.

Help make a better world, is the mindset, mission and focus of aiRescues.

The entrepreneurial executive team of aiRescue has secured the domain (universal markup language URL): www.airesucues.org for nonprofit organization and .com for profit entity. Startups, are under creation, finalization and development.

Headquarter planned for Washington DC with regional offices domestically in United States similar to Federal Energy Management Agency (FEMA 10 Regional) and globally.

aiRescue planning to augment others (First responders, etc.) Providing artificial intelligence support selectly. Predominantly, aiRescue will prefer and perform rescue missions, for individuals and groups, independently. The plan is to be completely self-sufficient.

Food, beverages and temporary shelters, including overnight accomodations on-location for humans is planned.

Command and Control, is planned for mobility. Decision support, permits and authorizations enabled from many locations globallbally.

Code-blue, in many emergency situations, fastest, prompt response is imperative. Authorization for ground transportation vehicles to utilize vehicles emergency lights and sirens is planned. Potentially response vehicles are expected to travel as fast as 130 mph, reportedly going from 0 to 60 mph in about 3 seconds.

Deployment of aiRescue is planned upon request. US President, US State Governors, City Mayors domestically is planned. International, aiRescues requesting by Prime Ministers, Kings and other high-ranking individuals are planned. Individuals (especially philanthropists) can request rescues.

Rescues capacity is planned for scalability. aiRescue for one -to- million or more is contemplated.

Special new assets for rescue activities are planned. Humanoid’s (Robots) electric vehicles many different types equipped with Artificial Intelligence (AI) and/or physically operating by artificial intelligence is planned.

Assets are not planned to be sold, not directly purchasable. Original equipment manufacturers (IEMs), are likely to enable direct purchases.

Technology refresh,is planned as good procurement process and procedures. Hardware, software and services contracts, impact the viability and capabilities of assets. Special consideration and arrangements are expected including provisioning of communications, in-remote and un-covered locations.

Land and water aiRescues capabilities are planned. Assets selected and manufactured by others is planned. On and off-road vehicles planned (most electricly propelled). Vertically integrated assets from multiple companies are planned. Recreational vehicles assets planned, including special narrow Rovers and compact track loaders (CTLs).

On-water and in-water (flooding) aiRescues, planning for using landing craft boats (opening-bows), personal water crafts (search and rescue type) and electric vehicle with aquatic capabilities.

aiRescues plans included weather related rescues. Rappily changing conditions have (miles of stranded motorist on roads) and exspect reoccurrence weather related rescues needs.

All-weather assets (including: retrofits for tracks) are planned.operablity of aiRescues, not negatively interfering with rescheduling capabilities.

Consumable commodities, water and ice support planned related to rescues. Refrigeration for medical purposes medicines that are temperature sensitive, is planned.

In some situations, aiRescues focused efforts on providing products. Bi-directional logistics planning, bring in to negatively affected areas commodities for sustaining human life and evacuating humans the other direction. Movement from and to save zones. Final temporary locations transportation planned.

Opt in programs enable contributors to provide assets beneficial to the aiRescues. Immediate and temporary insurance another identifications provided to asset owners. Restoration including decontamination as necessary plan for purchase of asset and replacement program planned.

Pets and other animals aiRescues plans included animals. Temporary handling pets and other animals planned with artificial intelligence supporting reunification with others and release the wild, including ongoing multimedia visual support.

Customizations and modifications of assets: in-shops and on-location is planned.

High-resolution imagery (4-to-8K) his planned. Real-time sharing of high resolution video imagery planned including 360° views fir situational awareness with imagery including multimedia visual and audio (high-quality microphones) is planned.

Multimedia studio, in-Cloud, on-location and other is planned. Imagery aggregation and production support planning considerations planned. Streaming revlent content is planned, including processing for social media channels real-time dissemination.

Redundancy is planned, semi-fixed assets mounted on vehicles (including recreational vehicles) planned and portable redundant systems in durable cases is planned for deployment separate from vehicles (leave-behind).

Executive protection, fully supported executive protection programs. Pre-arranged protection of individuals are prioritized with advanced tracking and rescue planning.

Privacy in every possible manner is planned. Individuals can remain anonymous. No detailed imagery is shared without full authorization. Coded identification of individuals for privacy is planned.

Financial considerations for missions to be determined on a case-by-case basis. Each aiRescue is planned to be separate and independent. Complete online, password protected, book-keeping is planned with timely updates, summarized reporting of all financial activities including in-kind donations and volunteerism. Privacy respected as requested.

Donations to nonprofit organization, cash and in-kind (physical assets including vehicles) to be requested, following all legal and regulations. Pre-developing, training and other logistical consideration planned.

Volunteerism, skilled and talented individuals can and are expected to participate. Philanthropic, supporting and activities are imperative for success. Anonymous donation and participation are supported. High-profile public relations (PR) supported. Planning on working with publicist for celebrity participation.

Some rescues are expected to be extremely high-profile newsworthy events globally.

Autonomously operated transportation vehicles are planned, transporting products and people (humans: rescuees & support teams). Authorization to operate without humans secured before operating vehicles on public roads. Passive human drivers are planned, for vehicle operating on public roads.

Hazardous environments, for humans, indoors and outside are expected. Hazardous conditions are expected it occurring in many different ways, a wide range of hazardous conditions can occur, and changing conditions are expected to occur.

Scientific intelligence with advanced scientific instrumention is planned. Instruments for every conceivable condition are planned. Everything from air and water quality. Planning digital Microscope for on-site human blood testing.

Advanced space communications system is planned. High-speed video supported communication worldwide planned

Portable energy storage capabilities are planned, including recharging capabilities by solar and independent mirco-turbine systems biofuel pellets augmentation planned.

Geolocation providing precise location is planned with utilization of third-party application technology. Uniquely addressed 57 trillion squares globally land and water. Longitude and latitude information sharing planned.

Desalinization and water purification portable systems are planned for unlimited drinking water and other purposes.

Decontamination capabilities are planned.

Tethered air and underwater drones are planned.

Military in law enforcement are not planned for direct rescuing. Coaching another advisory and demonstration sharing is planned.

Disclaimer, information shared is completely conceptual not to be relied upon ad factual or occurring.

Forward looking statements, information provided contained a significant amount of forwards looking statements that may or may not happen in the future.

Open source, information is not proprietary information. The information can be used by anyone at any time, are you sure and beneficial purposes.

Background

Article by others:

The difference between Artificial Intelligence and Machine Learning
Canadian College for Higher Studies > Blog > Blog > The difference between Artificial Intelligence and Machine Learning
The difference between Artificial Intelligence and Machine Learning.

Artificial Intelligence (AI) and Machine Learning (ML) are two hot buzzwords right now and often seem to be used interchangeably. These two are not quite the same thing, but the perception that they are can sometimes lead to some confusion, reported Forbes.

Both terms crop up frequently when the topic is big data, analytics, and the broader waves of technological change sweeping through our world.

In short, artificial intelligence is the broader concept of machines being able to carry out tasks in a way that we consider “smart.” Machine learning is a current application of AI based on the idea that we should be able to give machines access to data and let them learn for themselves.

Artificial Intelligence – devices designed to act intelligently – are often classified into one of two fundamental groups – applied or general. Applied AI is far more common – systems designed to trade stocks and shares or maneuver an autonomous vehicle intelligently would fall into this category.

Generalized AIs – systems or devices which can, in theory, handle any task – are less common, but this is where some of the most exciting advancements are happening today. It is also the area that has led to the development of Machine Learning. Often referred to as a subset of AI, it’s more accurate to consider it the current state-of-the-art.

Machine Learning applications can read the text and determine whether the person who wrote it is making a complaint or offering congratulations. They can also listen to a piece of music, decide whether it will likely make someone happy or sad, and find other music details to match the mood. In some cases, they can even compose their music expressing the same themes, or which they know is likely to be appreciated by the admirers of the original piece.

Two significant breakthroughs led to the emergence of Machine Learning as the vehicle driving AI development forward at the current speed.

One of these was the realization that rather than teaching computers everything they need to know about the world and how to carry out tasks, it might be possible to teach them to learn for themselves.

The second, more recently, was the emergence of the internet, and the massive increase in the amount of digital information being generated, stored and made available for analysis.

Once these innovations were in place, engineers realized that rather than teaching computers and machines how to do everything, it would be far more efficient to code them to think like human beings and then plug them into the internet to give them access to all of the information in the world.

Neural Networks

A Neural Network is a computer system designed to work by classifying information in the same way a human brain does. It can be taught to recognize, for example, images and rank them according to the elements they contain.

Essentially it works on a system of probability – based on data fed to it; it can make statements, decisions or predictions with a degree of certainty. The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong, it modifies the approach it takes in the future.

These are all possibilities offered by systems based around ML and neural networks. Thanks in no small part to science fiction, the idea has also emerged that we should be able to communicate and interact with electronic devices and digital information as naturally as we would with another human being. To this end, another field of AI, Natural Language Processing (NLP), has become a source of hugely exciting innovation in recent years and is heavily reliant on ML.

NLP applications attempt to understand natural human communication, either written or spoken and communicate with us using similar, natural language. ML is used here to help machines understand the vast nuances in human language and to learn to respond in a way that a particular audience is likely to comprehend.

Artificial Intelligence has a lot to offer. With its promise of automating mundane tasks and offering creative insight, industries in every sector, from banking to healthcare and manufacturing, are reaping the benefits.

Machine Learning has certainly been seized as an opportunity by marketers. After AI has been around for so long, it’s possible that it started to be seen as something that’s in some way “old hat” even before its potential has ever been achieved. There have been a few false starts along the road to the “AI revolution,” and the term Machine Learning certainly gives marketers something new, shiny, and, importantly, firmly grounded in the here-and-now.

The fact that we will eventually develop human-like

More….

AI Polytechnic

AI Polytechnic Profile

Version 3.0
Saturday, 30 September
10:30 am

Planning on creating an education institution for Artificial Intelligence (AI). The AI Polytechnic Institute focuses: teaching, researching, and public service missions.

Endowed academic school is planned to be potentially, charitable donations primary source of funds for endowments. No public funds or involvement is planned. No interference by anyone is acceptable. Self-sufficient in perpetuity is planned, efficiently operations.

Autonomous donations, sponsored programs, other creative support and in-kind donations are planned.

Global virtual and physical campuses are planned including renting subleasing facilities. Temporary and semi-permanent structures (Free-standing Dome’s) are planned. Many amenities are planned including kitchens for food and drinks.

Advanced communication and energy storage portable infrastructure is planned. High-speed Internet using space satellite technology is planned. Unlimited, geo locations enabled. Video technology (interactive multimedia) with high-resolution (up to 8K) recording and displaying is planned.

Advanced AI hardware, software and accessable to supercomputering is planned.

Flexibility and early adoption of AI technologies is planned. Philanthropists participation expected to include faculty participation. Innovative enterprises, entrepreneurs and many others involvement expected.

Philanthropists, participation is needed and helpful help make a better world.

Three key elements are related to the AI Polytechnic institute: teaching, research, and public service missions. Artificial Intelligence (AI) safe usage will benefit humanity.

AI Harmless has been created and planned to support, as a public service mission. Artificial Intelligence, guidance, regulator, legislatively and was volunteerism is planned to be implemented globally.

Executive Protection security planned. Round-trip transportation is planned as necessary for students and faculty.

Endowed Institute
Endowment funds

Charitable donations are the primary source of funds for endowments. Endowment funds support the: teaching, research, and public service missions.

University endowments are comprised of money or other financial assets that are donated to academic institutions.
Charitable donations are the primary source of funds for endowments.
Endowment funds support the teaching, research, and public service missions of AI Polytechnic Institute.

Teaching, Research, and Public Service missions are planned.

Endowed Scholarships

Thanks to the generosity of alumni, corporate partners, and other community members, the School of AI Polytechnic is expected to be able to offer scholarships to its students each year. These students must apply to these opportunities on an annual basis. The Office of Student Affairs is expected to release an “Endowed Scholarship Application” to students each year.

Military and law enforcement

No plans on programs for military branches or law enforcement agencies. Individuals active military and former military, individual law enforcement officers are invited to participate.

Disclaimer
Information provided is conceptual not to be refined upon as factual.

Forward looking statements
The information provided contains significant amount of forward-looking statements that may or may not happen in the future and our subject to change without notice.

Participation encouraged

Notes:

Posting (SPC Facebook) with pic:

Acquired new domains(URLs) for our Artificial Intelligence (AI) Programs:

AI Polytechnic (.org &.com) plan to use: www.aipolytechnic.org
Then at some point, filling for the .edu (education) extension. Then plan to use:
www.aipolytechnic.edu
after receiving approval.

Short reference: AIT (Artificial Intelligence Tech) and AI Tech (Artificial Intelligence Technology). Proper education institution name: Polytechnic

Previously acquired domains include:
AI Harmless planned: www.aiharmless.org

evCharty acquisition previously planning: www.evcharty.org

Education Institution for Artificial Intelligence (AI).

This is very exciting. It’s a very, complicated topic.

Philanthropists wanted and needed. Participation encouraged. Help make a better world.

Background/Researching:

Artificial
Intelligence for the
American
People and the world.

01 Executive Order on AI

Background Information

What is an institutional endowment?

An endowment typically includes funds given to an institution by donors who have stipulated as a condition of the gift that its principal may not be spent, and who expect that its value will increase over time through a responsible balance between expenditure and reinvestment of its earnings

What does endowment mean in college?
University endowments are comprised of money or other financial assets that are donated to academic institutions.
Charitable donations are the primary source of funds for endowments.
Endowment funds support the teaching, research, and public service missions of colleges and universities

How many polytechnic universities are there in the US?

*Reportly, there are a total of 5091 Polytechnic Colleges in the United States as of August 04, 2023

Endowed Scholarships (By other):

Thanks to the generosity of alumni, corporate partners, and other community members, the School of Business is able to offer scholarships to its students each year. These students must apply to these opportunities on an annual basis. The Office of Student Affairs releases an “Endowed Scholarship Application” to students each year, normally in January, so that currently enrolled students may apply for scholarships, which would be awarded in the following year.

Scholarship amounts vary, but typically range from $500 to $10,000 based on several factors:

Student need

Academic standing and performance
Quality of application and contribution to their field of study and education at University School of Business
A committee reviews applications every spring and award decisions are made during the summer. To receive awards, students are required to:

Remain in good academic and judiciary standing
Remain enrolled in the University School of Business for the semester(s) of the award
Submit to the Office of Student Affairs a well-written thank you letter to share with the donor
Upload a photo, resume and thank you letter
Accept the scholarship award online
The university makes every attempt possible to ensure that students are not “over-awarded” scholarship funds. Students who have sufficient scholarships and grants to cover all educational expenses will not likely receive an award. In the case that an award is made, it may result in the reduction of another award by the Office of Financial Aid to avoid “over-awarding.” Please consider your actual level of need when applying.

The funds are called Endowed Scholarships because most are funded with an initial contribution in excess of $100,000 and awards are made using the interest earned from these funds. This method of giving ensures that funds will never run out, but will be available to continue supporting students’ education for decades to come. The School of Business has awarded an average of $400,000 per year in the 2018-2021 academic years and welcomes new donors to support our students.

How to Apply:

Check email for information from the Office of Student Affairs in January and February. We will send several notices!
How to Give:

Contact the Office of the Dean at or the Office of Student Affairs.
How are Endowed Scholarships Funded?University’s School of Business Endowed Scholarships are comprised of numerous individual accounts established to fund scholarships, and consistent educational resources to support current students. These Endowed Scholarships provide critical support for students in need and offer the promise of consistent resources into the future.
Individual endowed funds are created by donors with a gift of at least $100,000 and are committed to ensuring the long-term sustainability of students within the University. Scholarships are awarded using the interest earned from these funds, ensuring that the base contribution remains present to provide resources in future years. Endowment fund spending is typically restricted by the donor’s designation to specific programs, centers, departments, schools, and colleges.
Principal endowment funds are invested in a diversified portfolio and managed by carefully selected outside money managers. Endowment income grows over time and provides a steady stream of income.
Students who need financial assistance for tuition, housing and fees are encouraged to apply. Applications are typically accepted January through March of each year from continuing students in good standing. These are reviewed individually to ensure financial need, satisfactory academic standing, excellence in pursuits, and a match with donor requirements/preferences.
In the 2020-21 academic year, approximately $275,000 in funds have been awarded to approximately 100 students from over 30 endowed scholarship funds. These awards range from $500 to $8,000.

We would like to thank the many donors that continue to support the mission and vision of the University and the promise of our students.

Current students interested in applying, please read the email communications shared by the Office of Student Affairs throughout the year for notifications