Speculating on DM’s Improving Fundamentals I enjoy following
Forbes writer Lance Eliot and how he writes about ChatGPT
In this article:
https://www.forbes.com/sites/lanceeliot/2023/01/29/some-insist-that-generative-ai-chatgpt-is-a-mirror-into-the-soul-of-humanity-vexing-ai-ethics-and-ai-law/?sh=6eb1ab1112db
I take particular note in this statement:
ChatGPT was devised by scanning text across the Internet.
Well NexaIntelligence algorithms were devised to study the movement of the galaxies, with the intent to utilize machine-learning and predictive analytics to help creator & astrophysicist Claude Theoret discover Black Holes
Which to wide acclaim: he achieved.
Then Claude discovered that despite how well these algorithms worked finding Black Holes , it worked even better on Social Media using NLP
But according to Lance Eliot ChatGPT only can aggregate what is historical, well isn’t that what SMART does?
Granted ChatGPT can take what is historical and create from that.
NexaSMART could keep it real & more dependable by removing any attached hallucinations
More quotes from Eliot:
You could somewhat plausibly argue that the Internet is a repository of humankind's perspectives. By examining the text that humans have composed, the pattern matching of ChatGPT is based on our written expression of human thoughts
Despite the angst about this mirror as a truth-teller, we can nonetheless have some fun and see what we can see. Just make sure that you do not make any wild leaps and bounds of outsized conclusions about humanity due to some text outputs generated by ChatGPT.
(Could this be where NexaSMART steps in?)
Ernest Holmes famously said this about mirrors: “Life is a mirror and will reflect back to the thinker what he thinks into it.”
Be careful in how you gauge the outputted essays of generative AI.
As they say, a mirror is like a box of chocolates, since you never know what you’ll get.
One huge thing to remember with NexaIntelligence & NexaSMART is that it’s more then just algorithms
They are Discovery engines and the Nexus of Datametrex success for their technology getting adopted by Defence research & development Canada , the Canadian & United States Armed Forces as well as NATO
This success is due to the ability of these discovery engines to not only find what you are looking for, but what you are not looking for
Understanding this has me wondering what kind of potential we could be sitting on knowing how high a pedigree of analytical discovery tools western military and Intel agencies appear to believe Nexalogy provides as evidenced by almost a decade of ongoing deep client & R&D relationships
So as much as the the world is now looking forward to ChatGPT-4.0 this spring due to the colossal success of ChatGPT -3.5, it’s very possible DM could present NexaSMART 2.0 on the heels of ChatGPT 4.0.
If it turns out I’m right about a SMART 2.0 coming our way and how it’s possible there could be a strong business case for DM additionally pairing the two of them together for a stand alone hybridized ChatGPT 4.5 that provides a military grade quality assurance that could be acceptable as a standard to higher education establishments, you know the same establishments DM is courting for MediCall
(remember DM loves to
Up-Sell)
Speaking of Up-Selling, Generative AI , thanks to Machine Learning is moving at lightspeed now and will have vast implications I suspect for the world of cyber warfare , putting the onus squarely on the western governments to pivot & adapt their lines of defense.
There isn’t a lot of clarification coming out of any military circles about what significance generative AI will play going forward in defending against Generative AI advanced capabilities or even the consideration of utilizing it to augment current information systems , obviously because it’s so new, it’s still under heavy review, and I’ll wager all eyes will be on the upcoming ChatGPT - 4.0
I will suggest that the onset of Generative AI resulting in Google issuing a Code Red and
All Hands-on-Deck
+
Microsoft announcing it’s intention to invest $10 Billion in ChatGPT ,
absolutely will have Military & Intel Agencies issue a call for scrupulously reviewing this new technological development and explore what military applications or threats it may pose.
I did find this tho and I thought this quote was rather telling given what we know and how we assume that given the success of NexaSMART that ,
there must be a Hybrid NexaSMART 2.0 on the way that , at the very least will be much closer to Real-Time
Note: The use of the words AUTOMATE & Lightening-Fast-Decision-Making
And in November, Air Force Chief Information Officer Lauren Knausenberger said the service must “automate more” to remain dominant in a world of advanced computing and lightning-fast decision-making.
https://www.defensenews.com/artificial-intelligence/2023/01/27/generative-ai-like-viral-chatgpt-lands-on-disa-technology-watch-list/
This also just popped up:
https://spacenews.com/on-national-security-analyzing-intelligence-in-the-age-of-chatgpt/
Also but perhaps not as specific to DM as yet,
On January 25 2023 For the first time in a decade the USA updated their increased plans for AI
https://taskandpurpose.com/tech-tactics/pentagon-updated-artificial-intelligence-guideline/
So I think there is a strong case to be made that there could be some big moves going on behind the scenes to meet our obligation to remain reactive with our government contracts as they relate to new developments such as Generative AI
As I mentioned earlier, it seems like a no-brainer to me that M.G. and his team would want to explore releasing a APP version of NexaSMART , that is maybe paired with ChatGPT 3.5 initially , followed by a Cadillac version paired with ChatGPT 4.0
If the Cadillac version incorporates NexaSMART 2.0 ?
Or perhaps more time would be needed before something like this could be released due to government timelines or contractual obligations plus keeping in mind the need to stay laser focused on the MediCall & DMEVS rollouts.
Regardless I remain super confident that DM releasing a NexaSMART 2.0 is merely a matter of when not if.
If they were getting close already in October,
I’ll wager the November release of ChatGPT caused a “Whoa” “Stop Everything” & “back to the drawing board” lol
I won’t comment on any possible impact on share price from any/if upcoming DM press releases related to Generative AI and let others draw their own conclusions but must admit, and with all due respect, I had to chuckle on the “small bump” inference I saw posted earlier
I will share this related info that might give some perspective & maybe even conjur up some blue sky ideation :-)
- It took 2 years for Facebook to get 1 million users
- It took 2 years for Instagram to get 1 million users
- It took Pinterest 5 months to get 1 million users
- It took 34 days for Angry Birds to get 1 million users
- It took ChatGPT 5 days to get 1 million users
- Open AI went from zero to $29 Billion in valuation in just 6 weeks and expects to earn $24 Billion by 2024
PS
This still doesn’t cover any speculation that Generative AI could play in augmenting MediCallMD.ca TeleHealth &
TeleMental-Health APP
https://mashable.com/article/how-to-chat-with-chatgpt-mental-health-therapy
https://www.linkedin.com/pulse/can-chatgpt-become-perfect-telemedicine-provider-dr-ismail-sayeed
With DM’s AI The Possibilities Truly Are Endless
I enjoy following
Forbes writer Lance Eliot and how he writes about ChatGPT
In this article:
https://www.forbes.com/sites/lanceeliot/2023/01/29/some-insist-that-generative-ai-chatgpt-is-a-mirror-into-the-soul-of-humanity-vexing-ai-ethics-and-ai-law/?sh=6eb1ab1112db
I take particular note in this statement:
ChatGPT was devised by scanning text across the Internet.
Well NexaIntelligence algorithms were devised to study the movement of the galaxies, with the intent to utilize machine-learning and predictive analytics to help creator & astrophysicist Claude Theoret discover Black Holes
Which to wide acclaim: he achieved.
Then Claude discovered that despite how well these algorithms worked finding Black Holes , it worked even better on Social Media using NLP
But according to Lance Eliot ChatGPT only can aggregate what is historical, well isn’t that what SMART does?
Granted ChatGPT can take what is historical and create from that.
NexaSMART could keep it real & more dependable by removing any attached hallucinations
More quotes from Eliot:
You could somewhat plausibly argue that the Internet is a repository of humankind's perspectives. By examining the text that humans have composed, the pattern matching of ChatGPT is based on our written expression of human thoughts
Despite the angst about this mirror as a truth-teller, we can nonetheless have some fun and see what we can see. Just make sure that you do not make any wild leaps and bounds of outsized conclusions about humanity due to some text outputs generated by ChatGPT.
(Could this be where NexaSMART steps in?)
Ernest Holmes famously said this about mirrors: “Life is a mirror and will reflect back to the thinker what he thinks into it.”
Be careful in how you gauge the outputted essays of generative AI.
As they say, a mirror is like a box of chocolates, since you never know what you’ll get.
One huge thing to remember with NexaIntelligence & NexaSMART is that it’s more then just algorithms
They are Discovery engines and the Nexus of Datametrex success for their technology getting adopted by Defence research & development Canada , the Canadian & United States Armed Forces as well as NATO
This success is due to the ability of these discovery engines to not only find what you are looking for, but what you are not looking for
Understanding this has me wondering what kind of potential we could be sitting on knowing how high a pedigree of analytical discovery tools western military and Intel agencies appear to believe Nexalogy provides as evidenced by almost a decade of ongoing deep client & R&D relationships
So as much as the the world is now looking forward to ChatGPT-4.0 this spring due to the colossal success of ChatGPT -3.5, it’s very possible DM could present NexaSMART 2.0 on the heels of ChatGPT 4.0.
If it turns out I’m right about a SMART 2.0 coming our way and how it’s possible there could be a strong business case for DM additionally pairing the two of them together for a stand alone hybridized ChatGPT 4.5 that provides a military grade quality assurance that could be acceptable as a standard to higher education establishments, you know the same establishments DM is courting for MediCall
(remember DM loves to
Up-Sell)
Speaking of Up-Selling, Generative AI , thanks to Machine Learning is moving at lightspeed now and will have vast implications I suspect for the world of cyber warfare , putting the onus squarely on the western governments to pivot & adapt their lines of defense.
There isn’t a lot of clarification coming out of any military circles about what significance generative AI will play going forward in defending against Generative AI advanced capabilities or even the consideration of utilizing it to augment current information systems , obviously because it’s so new, it’s still under heavy review, and I’ll wager all eyes will be on the upcoming ChatGPT - 4.0
I will suggest that the onset of Generative AI resulting in Google issuing a Code Red and
All Hands-on-Deck
+
Microsoft announcing it’s intention to invest $10 Billion in ChatGPT ,
absolutely will have Military & Intel Agencies issue a call for scrupulously reviewing this new technological development and explore what military applications or threats it may pose.
I did find this tho and I thought this quote was rather telling given what we know and how we assume that given the success of NexaSMART that ,
there must be a Hybrid NexaSMART 2.0 on the way that , at the very least will be much closer to Real-Time
Note: The use of the words AUTOMATE & Lightening-Fast-Decision-Making
And in November, Air Force Chief Information Officer Lauren Knausenberger said the service must “automate more” to remain dominant in a world of advanced computing and lightning-fast decision-making.
https://www.defensenews.com/artificial-intelligence/2023/01/27/generative-ai-like-viral-chatgpt-lands-on-disa-technology-watch-list/
This also just popped up:
https://spacenews.com/on-national-security-analyzing-intelligence-in-the-age-of-chatgpt/
Also but perhaps not as specific to DM as yet,
On January 25 2023 For the first time in a decade the USA updated their increased plans for AI
DOD-DIRECTIVE-3000.09-AUTONOMY-IN-WEAPON-SYSTEMS.PDF
So I think there is a strong case to be made that there could be some big moves going on behind the scenes to meet our obligation to remain reactive with our government contracts as they relate to new developments such as Generative AI
As I mentioned earlier, it seems like a no-brainer to me that M.G. and his team would want to explore releasing a APP version of NexaSMART , that is maybe paired with ChatGPT 3.5 initially , followed by a Cadillac version paired with ChatGPT 4.0
If the Cadillac version incorporates NexaSMART 2.0 ?
Or perhaps more time would be needed before something like this could be released due to government timelines or contractual obligations plus keeping in mind the need to stay laser focused on the MediCall & DMEVS rollouts.
Regardless I remain super confident that DM releasing a NexaSMART 2.0 is merely a matter of when not if.
If they were getting close already in October,
I’ll wager the November release of ChatGPT caused a “Whoa” “Stop Everything” & “back to the drawing board” lol
I won’t comment on any possible impact on share price from any/if upcoming DM press releases related to Generative AI and let others draw their own conclusions but must admit, and with all due respect, I had to chuckle on the “small bump” inference I saw posted earlier
I will share this related info that might give some perspective & maybe even conjur up some blue sky ideation :-)
- It took 2 years for Facebook to get 1 million users
- It took 2 years for Instagram to get 1 million users
- It took Pinterest 5 months to get 1 million users
- It took 34 days for Angry Birds to get 1 million users
- It took ChatGPT 5 days to get 1 million users
- Open AI went from zero to $29 Billion in valuation in just 6 weeks and expects to earn $24 Billion by 2024
PS
This still doesn’t cover any speculation that Generative AI could play in augmenting MediCallMD.ca TeleHealth &
TeleMental-Health APP
https://mashable.com/article/how-to-chat-with-chatgpt-mental-health-therapy
https://www.linkedin.com/pulse/can-chatgpt-become-perfect-telemedicine-provider-dr-ismail-sayeed
With DM’s AI The Possibilities Truly Are Endless