Difference between revisions of "Darwin2049/ChatGPT4/InterfaceTableSandbox"
Darwin2049 (talk | contribs) |
Darwin2049 (talk | contribs) |
||
| Line 1: | Line 1: | ||
https://arguably.io/Darwin2049/ChatGPT4/InterfaceTableSandbox<!-- | The central problem in recent developments stems from the human inability to process rapid nonlinear change. Change that happens in a relatively linear fashion and at a slow pace enables most people to adapt. However change that happens geometrically as with recent deep learning systems is much more difficult to incorporate. | ||
'''''<SPAN STYLE="COLOR:BLUE">Cognitive prosthetic based quantum systems will completely eclipse current incarnations of all existing CG4 based systems5:</SPAN>''''' Quantum computing devices are already demonstrating their ability to solve problems in seconds or minutes that classical von Neuman computing machines require decades, centuries or even millennia to solve. The departure from classical computing using collections of zero or one binary digits is severely limited when compared to how logic can be represented using quantum bits (qubits). With qubits large numbers of simultaneous true/false states can exist simultaneously. This is inherent within the realities of quantum mechanics. The interested observer is advised to pursue a more in depth study of the subject of quantum mechanics, entanglement, uncertainty, particle/wave duality as well as the other fundamental features that are known to operate at the quantum level. | |||
{| border="1" cellpadding="5" cellspacing="0" align="right" style="border:1px solid black;" | |||
|- | |||
! ''<Span Style="COLOR:BLUE; BACKGROUND:SILVER">How might different groups use this new capability</SPAN>'' | |||
! ''<Span Style="COLOR:BLUE; BACKGROUND:SILVER">Category</SPAN>'' | |||
! ''<Span Style="COLOR:BLUE; BACKGROUND:SILVER">Risk Type</SPAN>'' | |||
|- | |||
| ''Innovators vs Laggards'' | |||
| ''Constructive'' | |||
| ''Malicious'' | |||
|- | |||
| ''Selective Usage'' | |||
| Selective Usage | |||
| Selective Notation | |||
|- | |||
| ''Same Wine New Bottle'' | |||
| Selective Usage | |||
| Recursive Notation | |||
|- | |||
| '''''<Span Style="COLOR:BLUE; BACKGROUND:SILVER">How will they be affected by this new capability</SPAN>''''' | |||
| ''Personalized Tutors'' | |||
| ''Interactive Audio Books'' | |||
|- | |||
| ''Personalized Tutors'' | |||
| ''Highly Individualized Skills'' | |||
| ''Selective Targeting'' | |||
|- | |||
| ''Interactive Audio Books'' | |||
| ''Novel Capabilities'' | |||
| ''Gray Market'' | |||
|- | |||
| '''''<Span Style="COLOR:BLUE; BACKGROUND:SILVER">Access modalities advantages/disadvantages</SPAN>''''' | |||
| ''Highly Conformal'' | |||
| ''Highly Advantageous'' | |||
|} | |||
https://arguably.io/Darwin2049/ChatGPT4/InterfaceTableSandbox | |||
<!-- | |||
OpenAI - ChatGPT4. | OpenAI - ChatGPT4. | ||
In what follows we attempt to address several basic questions about the onrushing progress with the current focus of artificial intelligence. There are several competing actors in this space. These include OpenAI, DeepMind, Anthropic, and Cohere. A number of other competitors are active in the artificial intelligence market place. But for purposes of brevity and because of the overlap we will limit focus on ChatGPT4 (CG4). Further, we focus on several salient questions that that raise questions of safety, risk and prospects. | In what follows we attempt to address several basic questions about the onrushing progress with the current focus of artificial intelligence. There are several competing actors in this space. These include OpenAI, DeepMind, Anthropic, and Cohere. A number of other competitors are active in the artificial intelligence market place. But for purposes of brevity and because of the overlap we will limit focus on ChatGPT4 (CG4). Further, we focus on several salient questions that that raise questions of safety, risk and prospects. | ||
Revision as of 00:11, 10 January 2024
The central problem in recent developments stems from the human inability to process rapid nonlinear change. Change that happens in a relatively linear fashion and at a slow pace enables most people to adapt. However change that happens geometrically as with recent deep learning systems is much more difficult to incorporate. Cognitive prosthetic based quantum systems will completely eclipse current incarnations of all existing CG4 based systems5: Quantum computing devices are already demonstrating their ability to solve problems in seconds or minutes that classical von Neuman computing machines require decades, centuries or even millennia to solve. The departure from classical computing using collections of zero or one binary digits is severely limited when compared to how logic can be represented using quantum bits (qubits). With qubits large numbers of simultaneous true/false states can exist simultaneously. This is inherent within the realities of quantum mechanics. The interested observer is advised to pursue a more in depth study of the subject of quantum mechanics, entanglement, uncertainty, particle/wave duality as well as the other fundamental features that are known to operate at the quantum level.
| How might different groups use this new capability | Category | Risk Type |
|---|---|---|
| Innovators vs Laggards | Constructive | Malicious |
| Selective Usage | Selective Usage | Selective Notation |
| Same Wine New Bottle | Selective Usage | Recursive Notation |
| How will they be affected by this new capability | Personalized Tutors | Interactive Audio Books |
| Personalized Tutors | Highly Individualized Skills | Selective Targeting |
| Interactive Audio Books | Novel Capabilities | Gray Market |
| Access modalities advantages/disadvantages | Highly Conformal | Highly Advantageous |
https://arguably.io/Darwin2049/ChatGPT4/InterfaceTableSandbox