In today's discourse of adaptation of Generative AI within our society, we offer this fable.
North Pass Advisors
Investment Management
Richmond, Virginia 43 followers
Empowering Industries with Visionary Innovation, Investment, and Incubation
About us
North Pass is a dynamic firm with a passion for driving innovation. Founded in early 2023, North Pass is the culmination of over three decades of experience creating transformative solutions in the digital industry. We specialize in identifying and investing in scientific breakthroughs with disruptive potential, providing strategic advisory services to startups and established companies, and incubating fully operational companies through a revolutionary Human-AI collaboration model.
- Website
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https://northpassadvisors.com/
External link for North Pass Advisors
- Industry
- Investment Management
- Company size
- 1 employee
- Headquarters
- Richmond, Virginia
- Type
- Privately Held
- Founded
- 2023
- Specialties
- Investment, Advisory, Incubator, Thought Leadership, Digital Innovation, and Generative AI
Locations
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Richmond, Virginia, US
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Mt. Crested Butte, Colorado, US
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Wrightsville Beach, North Carolina, US
Employees at North Pass Advisors
Updates
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Human-AI organizations need Change Management to unlock productivity gains. No way around it.
Let's boil this down to a basic fact. Over the history of time, the majority of technology initiatives FAIL due to lack of adequate Change Management within the enterprise. Same thing is going on within Generative AI adoption.. If your broader AI team does not have experienced, seasoned Change Management practitioners deeply imbedded in the strategy, expect this outcome. More Info? Use this prompt: "Search the internet for basic facts on IT failures when not coupled with change management." https://lnkd.in/gaZ9bJiU
77% Of Employees Report AI Has Increased Workloads And Hampered Productivity, Study Finds
social-www.forbes.com
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What do the birth of online banking and today's AI revolution have in common? More than you might think. Our latest article explores a fascinating journey from the '90s digital banking breakthrough to the cutting-edge of Human-AI collaboration. Discover how past innovations are shaping our approach to AI today. #HumanAICollaboration #AIInnovation #DigitalTransformation #FutureOfWork
The Evolution of Innovation: From Digital Banking Pioneers to Human-AI Collaboration
North Pass Advisors on LinkedIn
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Happy to provide our first public announcement coming out of our North Pass Advisors start-up studio! Aveniq is a new species of agency designed from the ground up to push the boundaries on creativity through a human-AI collaboration model. Looking forward to working with Darren Foot on this endeavor... #HumanAICollaboration
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Congrats to Karlsruhe Institute of Technology (KIT) for the definitive Human-AI collaboration methodology, working white paper: Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. https://lnkd.in/gVW9nrk7 This working paper describes, with evidence, the specific core hypothesis and research we have been working on. If you would like the roadmap into our thinking, this is the singular white paper to read. All North Pass work and companies establish revolve around a Human-AI collaboration methodology. Once the mindset changes, operating through any current legacy model really does not make sense, at all... #humanaicollaboration #enterprisemethodologies
As enterprises seek to adopt AI solutions within their use cases and methodologies, returning to economic basics as to how wealth is produced is especially helpful. "This great increase in the quantity of work, which, in consequence of the division of labour, the same number of people are capable of performing, is owing to three different circumstances; first, to the increase of dexterity in every particular workman; secondly, to the saving of the time which is commonly lost in passing from one species of work to another; and, lastly, to the invention of a great number of machines which facilitate and abridge labour, and enable one man to do the work of many..." - Adam Smith In our relentless research in the Generative AI space, we observe a good amount of thought leadership on the first (increasing the skill of the human worker) and the third (developing more effective AI tools), however, a general lack of published research on the second (closing the gaps between handoffs). Examining how work gets "passed on" from one step to another within a Human-AI collaboration methodology framework is where our Thought Leadership sits. The results are astonishing - they are truly "much greater than we should at first view be apt to imagine it." We look forward to sharing this with you over time. Follow as you wish. #humanaicollaboration #enterprisemethodology
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In July of last year, we briefly explored the ability to perform analysis on financial filings. Early in our R&D, we identified a high enough error rate in our work that we left this on the table for the academic superstars of the business universe to get to it. Happy to provide this summary insight and visibility to this The University of Chicago Booth School of Business working paper released this past week. It provides the foundational, quantitative grounding that LLM technology provides immense value, superior to current approaches in a specific, well defined use case. Many thanks to Alex G. Kim, Maximilian Muhn, and Valeri V. Nikolaev for publishing these results. #HumanAICollaboration
The Definitive Analysis: Implications of Generative AI in Financial Modeling
North Pass Advisors on LinkedIn
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Using the recent Apple "Crush" marketing campaign as a teachable moment on how Generative AI can help mitigate brand impacts...
How to Avoid a Sliced Apple: Using Generative AI to Mitigate Brand Missteps
North Pass Advisors on LinkedIn
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For those seeking a method of developing Generative AI skills via timeless methods....
The Power of Socratic Principles in Generative AI Prompting
North Pass Advisors on LinkedIn
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After reading yet another "GenerativeAI provides more distraction than value" posting online, attempting to put this topic to bed once and for all. Of course, these tools are the fantastic and will drive massive improvements in enterprises. Of course, these tools are terrible and make errors all the time. Time to figure it out. #HumanAICollaboration
The Great Divide: Examining the Value of LLMs Through the Cone of Uncertainty
North Pass Advisors on LinkedIn
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We agree. Although in our experience to date, the solo entrepreneur will find it useful and helpful to also retain a small, select set of experts with complementary backgrounds with slight domain overlaps to accomplish complex enterprise goals. These expert teams working within an intentional, Human-AI collaboration methodology are part of our #futureofwork. Regarding investors. Our thesis is that after current business models "shake out" in their investment needs (ex: SAAS companies needing far less investor capital), more ambitious and hard science investments will become more commonly available to redeploy these investor assets. These ambitious endeavors will require significant investor capital to build out the miracle technologies of the future....
“1 person can build a billion dollar company soon.” How is this possible? During my PhD days at the Technical University of Munich, one of my colleagues researched the impact of different technologies on the “cost of experimentation”, a term to describe the resources required to start a business. A well-cited study in this domain is the “Cost of experimentation and the evolution of venture capital” paper by Ewens, Nanda, and Rhodes-Kropf (2018). Link in comments. “The introduction of cloud computing services by Amazon is seen by many practitioners as a defining moment that dramatically lowered the initial cost of starting Internet and web-based startups. (..) We show that subsequent to the shock, startups founded in sectors benefiting most from the introduction of AWS raised significantly smaller amounts in their first round of VC financing.” Will the widespread adoption of AI be the second “cloud moment”? My answer is yes. I expect that the cost of experimentation will significantly drop (again), probably even more than it did after the introduction of cloud computing. Next-gen founders will be able to set up their companies as one (wo)man show and the help of AI/specialized autonomous agents. For many founders, little additional resources will be required to test a market hypothesis and build a huge company on their own. — This is what I predicted in my April 2023 article of Data-driven VC: https://lnkd.in/gwrENTNw Great to hear that Sam Altman agrees🤓