INVEST IN NEW SAPIENCE TODAY!
New Sapience is developing a patented synthetic intelligence platform, which we believe will overcome the limitations of traditional artificial intelligence, better replicate the generality of human knowledge, and exceed the capabilities of any existing AI approaches.
We believe that what we are creating is an entirely new innovation, accessible to over 6.6 billion smartphone users worldwide, that could transform every major segment of our economy, and generate innumerable new markets in the process.* New Sapience technology has the potential to disrupt numerous multi-billion dollar markets such as the $9.9B industry for natural language processing and chatbot software and the $140B industrial automation industry, to name a few.**
We believe sapiens are the world’s first machines that think and understand like humans do. Our vision is of a world where these thinking machines are our partners, helping every one of us to realize our own personal goals, to live a more engaged human life. We believe that if our sapiens were to become commonplace, when human knowledge, perspective, and values are at the foundation of thinking machines, the tyranny of the mindless statistical algorithms will be over.
*Statistic provided by BankMyCell (source)
**Market info provided by BusinessInsider, Verified Market Research, PR Newswire, & Markets and Markets (source, source, source, source)
Artificial Intelligence (AI) has produced many amazing applications since machine learning began to be examined in the early 1950s. Yet, despite decades of research and innovation, today’s AI is still hindered by the failure to achieve knowledge, which is the key to intelligence and language comprehension.
*Technology currently in development and not commercially available at this time.
New Sapience has created what we believe is a completely new approach to endowing machines with knowledge based on the underlying properties & hidden structures of knowledge itself, breaking away from the tech industry’s tradition of attempting to emulate neural processes and structures of the human brain. In doing so, we believe we will be the first to realize synthetic intelligence in machine form.
We call these thinking machines sapiens. Scalable to a degree that we think is completely unprecedented compared to current technology, New Sapience believes our technology can usher in a new generation of artificial intelligence, giving humans more time to do exactly what they want and are uniquely talented to do.
*Technology currently in development and not commercially available at this time.
The Problem
Nearly all of today’s major tech applications feature some form of AI or voice recognition software. However, despite investing billions of dollars in the technology, companies have manifested an experiential expectation that often isn’t met. Because existing systems only provide the illusion of intelligence, they often fall short in their execution of simple, everyday tasks, creating more confusion and cognitive dissonance than convenience.
This is because even today’s most advanced machine learning applications are basically parroting word arrangements statistically prevalent in their training datasets, presenting a convincing illusion of communication made more compelling by the title of artificial intelligence. As a result of these limitations, New Sapience believes that existing technology can suffer from an inherent bias. As Berkeley professor Alison Gopnik recently put it, “We call it ‘artificial intelligence,’ but a better name might be ‘extracting statistical patterns from large data sets.’
The Solution
New Sapience’s thesis is that the most efficient way to build a thinking machine is by giving it something to think about. With this in mind, our team pursued a synthetic approach to knowledge in machines. We identified core cognitive building blocks, “atoms of thought,” and classified them in accordance with their properties of combination in a manner we believe is strongly analogous to the periodic table in Chemistry.
*Technology currently in development and not commercially available at this time.
Unlike previous iterations of artificial intelligence, our AI is based on layered models. First is the Cognitive Core, a model of knowledge itself. On top of that, a model of the common-sense world of sufficient scope to understand language and the everyday world. Finally, depending on the sapien’s application, layers of technical and expert knowledge curated from some of the best human minds and collected works. No need for lengthy training cycles on datasets.
*Technology currently in development and not commercially available at this time.
Using this unique approach to AI, New Sapience has experienced what we consider to be incredible breakthroughs. We believe sapiens demonstrate the ability to expand upon existing knowledge, comprehend the contextual nuances of language, explain lines of reasoning, and even distinguish the difference between thoughts, perceptions, and feelings.
The Market
In 2004, Bill Gates was quoted as saying ''If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.'' (source)
With their unique ability to speak and comprehend language in the same way people do, we believe that sapiens are the next step for AI that the world has been waiting for. Our technology has scalable applications for nearly every industry and market where human intelligence, judgment, and knowledge are needed, and due to the meticulous way the sapiens are constructed, we believe they can quickly integrate within any sort of operation.
*Technology currently in development and not commercially available at this time.
When implemented in both personal and professional capacities, we believe sapiens may be rapidly capable of contributing their knowledge and expertise to everything from aerospace, industrial infrastructure, and manufacturing, to education, entertainment, and so much more.
Our Traction
New Sapience’s Method and System for Machine Comprehension obtained patent status in 2016. Since then, we have been working diligently to perfect the technology and now we are nearly ready to go to market. The company is currently in the process of introducing our technology through social media, podcast interviews, and webinars, which has led us to attract new levels of talent, as well as investment opportunities.
*Technology currently in development and not commercially available at this time.
Upon launching, we anticipate that our platform will be used to develop product lines of proprietary sapiens for businesses, as well as customized companions for individual consumers. We plan to make our systems available as a subscription software service and hope to establish a network of supporting applications, integrated by licensees, in order to proliferate New Sapience’s technology as rapidly as possible.
Why Invest
The opportunities for innovation that sapiens provide hold immense potential. By creating a software platform that allows human knowledge to be efficiently curated and utilized by computers, we believe we have cultivated a technology that could transform business, commerce, and our quality of life as we know it.
Help us secure this forward-thinking future, by investing in New Sapience.
*Technology currently in development and not commercially available at this time.
New Sapience is anticipating the launch of what we believe is an entirely new paradigm of artificial intelligence. More aptly referred to as synthetic intelligence, our sapiens are unique thinking machine prototypes with the acumen to speak and comprehend human language, as opposed to merely mimicking it like much of the AI known today. New Sapience is pre-revenue and currently in the prototype phase.
Continuing his career, Bryant has been a pioneer in applying advanced automation software technology to solve difficult real-world problems. At NASA he developed the first application of AI technology for spacecraft operations for the yet-to-be-launched Hubble Telescope and was funded by NASA for a residency in AI (MS equivalent) at the Lockheed AI center. He then went on to found two successful high-tech software automation companies, which were acquired by public corporations. New Sapience, founded in 2014, is his third technology company.
Education: BA, St. Johns College. MS Johns Hopkins University. MS (equivalent), Lockheed Artificial Intelligence Center.
Prior to beginning full-time employment with New Sapience, he worked in the IT departments first at Duke and then the University of North Carolina where he designed and implemented the next generation of provisioning and de-provisioning, a campus wide single sign-on identity management system, and many other aspects of the university IT infrastructure.
Karsten is fluent or conversant in 4 Human and 13 Computer languages.
Bachelor of Science in Computer Science; second major in Russian, Duke University, May 2001
William Robert Bandy
Member, Board of Directors, Chief Intellectual Property Officer
After a 30-year government career with NSA and DARPA, Bill co-founded Matrics Technology Systems, Inc., for the development and production of low-cost, high-performance Radio Frequency Identification (RFID) tag technology and product. Matrics was bought by Symbol Technologies, Inc. in 2004 for $230M. His name appears on well over 100 patents
BS, University of Oklahoma. MS, University of Oklahoma. Ph.D., University of Maryland.
Thomas William Loveland
Board Member, Chief Administrative Officer
Tom leads a data and software consultancy that helps regional and national brands solve complex business technology challenges and free human capital to deliver more value to their organizations and the world.
Education: University of Washington Honors College, St. John’s College (Annapolis), University of Chicago
William F. Readdy
Director, Chief Partnerships Officer
He also served as Commanding Officer, Naval Reserve, Naval Space Command where he selected Bryant Cruse to be his Executive Officer.
BS, Aerospace Engineering, U.S. Naval Academy. Distinguished Graduate, U.S. Naval Test Pilot School
Hon. Tidal (Ty) McCoy
Advisor, Business Development, Cyber Security
After leaving government service in 1989, McCoy joined Thiokol as Senior Vice President for Government Relations. He later founded the George Washington National Bank and served as the bank’s Vice Chairman. In 1998, he founded Washington Capital Partners, LLC, and has since served as its chairman.
One of the New Sapience’s earliest investors, Ty provides expertise in raising capital and the Cyber-security market segment.
William Avellone
Advisor, Business Development
Bill’s has an extensive background in managing middle market businesses as a CEO and operating partner for family offices and venture firms. He has worked internationally in Europe, China, India, Mexico, and Canada. Today, he invests in several high-tech startups and entrepreneurial businesses and lends his expertise assisting small businesses in the turnaround and restructuring process as a Chapter 11, Sub V, trustee.
Education: BS, University of Illinois. Certificate in Liberal Arts, University of Chicago. MBA, Roosevelt University.
Josianne Pennington
Advisor, Marketing
During her career Josianne served as the vice president of a large public university, chief marketing officer of a global healthcare company, division head of an international publishing company, and communications director for two non-profits. And now she gets to work with Bryant and New Sapience to be a part of solving some of the biggest problems people have to cope with.
Education: BA, University of Delaware. MLA, Johns Hopkins University.
Patrick Regan
Advisor, Product Development
During his career Patrick served as a vice president at a NY investment bank, led a business unit of an online education company, served as head of product at a marketing agency, and has consulted numerous clients on digital transformation, product management, and strategy. He is very excited to work with Bryant and New Sapience to harness the power of intelligent machines to help humans become more productive than ever before.
Education: BS, Kettering University. MS, North Dakota State University. MBA, Columbia University.
Maximum Number of Shares Offered subject to adjustment for bonus shares
*Maximum number of shares offered subject to adjustment for bonus shares. See Bonus info below.
Investment Incentives and Bonuses*
Time-Based
First 5 Days | Invest within the first 5 days and receive 15% bonus shares
Super Early Bird - Next 72 hours | 10% bonus shares
Early Bird Bonus - Next 7 days | 5% bonus shares
Amount-Based
Tier 1 Perk - ($500 + 5% bonus shares)
Tier 2 Perk - ($1,000 + 10% bonus shares)
Tier 3 Perk - ($5,000 + 15% bonus shares)
Tier 4 Perk - ($50,000 + 20% bonus shares)
Tier 5 Perk - ($100,000 + 25% bonus shares)
Tier 6 Perk - ($500,000 + 30% bonus shares)
The 10% StartEngine Owners' Bonus
New Sapience will offer 10% additional bonus shares for all investments that are committed by investors that are eligible for the StartEngine Crowdfunding Inc. OWNer's bonus.
This means eligible StartEngine shareholders will receive a 10% bonus for any shares they purchase in this offering. For example, if you buy 100 shares of Common Stock at $3.25 / share, you will receive 110 shares of Common Stock, meaning you'll own 110 shares for $325. Fractional shares will not be distributed and share bonuses will be determined by rounding down to the nearest whole share.
This 10% Bonus is only valid during the investor's eligibility period. Investors eligible for this bonus will also have priority if they are on a waitlist to invest and the company surpasses its maximum funding goal. They will have the first opportunity to invest should room in the offering become available if prior investments are canceled or fail.
Investors will receive the highest single bonus they are eligible for among the bonuses based on the amount invested and time of offering elapsed (if any). Eligible investors will also receive the Owner’s Bonus in addition to the aforementioned bonus.
*In order to receive perks from an investment, one must submit a single investment in the same offering that meets the minimum perk requirement. Bonus shares from perks will not be granted if an investor submits multiple investments that, when combined, meet the perk requirement. All perks occur when the offering is completed.
Irregular Use of Proceeds
The Company might incur Irregular Use of Proceeds that may include but are not limited to the following over $10,000: Vendor payments. Salary payments made to one’s self, a friend or relative. Inter company debt or back payments.
06.06.23
Chatbots like OpenAI’s ChatGPT or Google’s Bard know nothing, let’s make that clear. No novelty has, can, or will emerge from any chatbot utilizing Large Language Model (LLM) architecture. Why? Because that’s not how LLMs work. What we’re seeing are not advances in AI, just advances in statistics. LLM chatbots like ChatGPT and Bard are spitting out misinformed, unknowledgeable, misinterpretable, and fundamentally incorrect text which unsuspecting folks treat as gospel. Let’s stop saying that chatbots have underlying knowledge or facts not included in their training data.
Knowledge isn’t just a bunch of facts, it’s a model of the world. Only one company has figured out how to embed synthetic knowledge in machines.
newsapience.com
06.05.23
Euclid said, there is no royal road, no shortcut, to mastering Geometry. First, one must grasp the core concepts, then learn how to put them all together. What is true about Geometry is true about knowledge in general. Knowledge is not a bunch of facts, it’s a carefully built and designed predictive model of the world.
Chatbots based on Large Language Models don’t contain a model of the world. They don’t have even the simplest notion of the meaning of words. OpenAI and all the Big Tech players in the LLM space have tried to find a shortcut to knowledge but have only created an illusion of knowledge.
The road towards creating Artificial General Intelligence must be carefully paved. New Sapience alone has mastered that art.
newsapience.com
06.05.23
The only thing Large Language Models (LLMs) are taking us closer to is a world full of disinformation, public confusion, and educational dilution.
These systems understand nothing. They provide an illusion of intelligence which is absolutely not equivalent to the real thing. It’s so bad, even the CEO of OpenAI, Sam Altman, admitted in a Wired article that the age of giant AI models is already over, and how they “must improve it in other ways.”
He also mentioned that the training cost of GPT-4 was over $100 million, and that they will not be working on GPT-5 for some time. It’s clear that LLMs will not be invoking the Singularity anytime soon.
06.03.23
Chatbots need a model of the world, but ChatGPT, Bard, and others aren’t getting there anytime soon. AGI is still achievable, just with a radically different approach.
newsapience.com
06.01.23
LLMs are never going to understand what you’re saying. In a recent Dexerto article, Rodney Brooks said AI chatbots are “good at saying what an answer should sound like, which is different from what an answer should be.”
The only way to make it better is by “boxing it”; throwing people at it, annotating the datasets and filtering it. All of these things cost time, money, and energy, but more to the point. GPT5 is stuck in the boxing problem. The next iterations of LLMs will not be getting us any closer to AGI, so what will?
www.newsapience.com
05.31.23
New Sapience is the industry contrarian. We do not subscribe to traditional AI practices. Overhyped, misunderstood methods, like neural networks that power ChatGPT and GPT-4 (and all others), are not the pathway to true AGI. Making a parrot smarter, larger, and faster does not magically produce human intelligence; it just creates a smarter, larger, and faster parrot!
At New Sapience, we’ve pioneered a brand-new approach to creating thinking machines. We call it synthetic knowledge.
Learn more about how we’re achieving AGI at newsapience.com
05.31.23
Artificial Neural Networks (ANNs) are not approaching the level of the human brain.
Human brains can learn and adapt much faster than ANNs can. Additionally, human brains can generate novel ideas while ANNs are strictly limited to their training data. (Source: Alibaba Cloud).
ANNs will not bring us closer to AGI. What will?
New Sapience has pioneered a brand-new approach to creating thinking machines. We call it synthetic knowledge. Our machines, called ‘sapiens’, can actually learn and evolve.
See sapiens in action: newsapience.com
05.30.23
New Sapience is the antidote to Big Tech AI practices. What are these practices? Well, they rely on massive amounts of energy, infrastructure, and user data to achieve “bigger and better” systems. In reality, these systems only provide the illusion of intelligence. Worse, they don’t understand you in any fundamental sense!
Is there another approach, another way of producing a thinking machine that benefits humanity, does not contribute to climate change, and does not harness user data? Indeed, there is.
We're building generally intelligent machines that understand the world in actuality. We call them ‘sapiens.’ But you don’t have to take our word for it: check out our website to learn how sapiens work and understand the world with synthetic knowledge.
newsapience.com
05.30.23
“I have been told that GPT-5 is scheduled to complete training this December and that OpenAI expects it to achieve AGI.” - Siqi Chen
Are we redefining AGI to mean whatever you get if you keep training bigger models?
05.29.23
“If the Illusion is good enough it’s the same as the real thing.”
ChatGPT and the other Large Language Models (LLMs) output text, even entire documents that can be mistaken for something written by humans. If that output meets your needs, fine, but read it carefully. Text from generative AI is not what it appears to be: communication of thoughts and ideas from another mind. There is no other mind - just statistically arranged words from datasets of documents written by other people to other people. The bots have no idea what the word they generate might mean to you - they have no ideas, period.
No matter how good the illusion, it is fundamentally different from reality – use at your own risk!
“A rhinestone is an attractive illusion of a diamond, but you can’t use one as a drill bit.” - Bryant Cruse, New Sapience
New Sapience has created sapiens, digital entities that deliver the reality, language comprehension based on common sense knowledge of the world; they know what the words mean.
You can learn more about them at newsapience.com
05.28.23
A sapiens will take initiatives to preserve and protect humans’ safety, health, property, and environment (in that order) prioritizing its principal, then other humans, in accordance with a clearly defined precedence, as long as such initiatives do not conflict with the First or Second Directives.
This “good Samaritan” directive recognizes that when help is needed, people prioritize family and friends over others. Sapiens will normally learn their principal’s unique priorities and will reflect them. Note that Asimov’s Third law is subsumed here as the sapiens will consider itself the property of its principal and so will preserve itself, but not necessarily before all other property; sapiens will always have a backup.
Check out the full article: https://www.newsapience.com/sapiens-prime-directives/
05.27.23
A sapiens must obey orders given it by its human or corporate entity “principal” except where such orders would conflict with the First Directive.
Note: sapiens are not required to follow the orders of any arbitrary human, as is the case with Asimov, but neither are they necessarily prohibited from doing so.
Check out the full article: https://www.newsapience.com/sapiens-prime-directives/
05.26.23
This session starts with a discussion of the risks that investors look for in an early stage company like New Sapience but then focuses on risks and concerns about the technology itself. Dangerous AI is very much in public consciousness today with concerns about bias, spreading misinformation and even existential threats to humanity. Our technology, based on synthetic intelligence, has none of these shortcomings.
Webinar: https://www.youtube.com/watch?v=X2kev1NYUtE
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