Difference between revisions of "ChatGPT4-Questions/User:Darwin2049/Overview"

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*'''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Darwin2049/chatgpt4_omega_political Political/Competitive - Synthesis.]</SPAN>''''' <Span Style="COLOR:WHITE; BACKGROUND:TEAL"> how might different groups or actors gain or lose relative advantage; also, how might it be used as a tool of control;</SPAN>   
*'''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Darwin2049/chatgpt4_omega_political Political/Competitive - Synthesis.]</SPAN>''''' <Span Style="COLOR:WHITE; BACKGROUND:TEAL"> how might different groups or actors gain or lose relative advantage; also, how might it be used as a tool of control;</SPAN>   
*'''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Darwin2049/chatgpt4_omega_evolutionary Evolutionary/Stratification - Synthesis.]</SPAN>''''' <Span Style="COLOR:WHITE; BACKGROUND:TEAL"> might new classifications of social categories emerge; were phenotypical bifurcations to emerge would or how would the manifest themselves;</SPAN><BR />
*'''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Darwin2049/chatgpt4_omega_evolutionary Evolutionary/Stratification - Synthesis.]</SPAN>''''' <Span Style="COLOR:WHITE; BACKGROUND:TEAL"> might new classifications of social categories emerge; were phenotypical bifurcations to emerge would or how would the manifest themselves;</SPAN><BR />
* '''''<SPAN STYLE="COLOR:BLUE">Epistemological/Ethical relativism:</SPAN>''''' <Span Style="COLOR:WHITE; BACKGROUND:TEAL">how to reconcile ethical issues within a society, between societies; more specifically, might it provide solutions or results that are acceptable to the one group but unacceptable to the other group;</SPAN><BR />'''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Https://arguably.io/User:Darwin2049/chatgpt4_omega_epistemological Epistemological - Synthesis]</SPAN>''''' <BR />
* '''''<Span Style="COLOR:BLUE; BACKGROUND:YELLOW">[https://arguably.io/Https://arguably.io/User:Darwin2049/chatgpt4_omega_epistemological Epistemological - Synthesis]</SPAN>''''' <BR />how to reconcile ethical issues within a society, between societies; more specifically, might it provide solutions or results that are acceptable to the one group but unacceptable to the other group;</SPAN><BR />
 
'''''<Span Style="COLOR:WHITE;BACKGROUND:BLUE">Synthesis.''''' Four question groups (indicated above '''''<Span Style="COLOR:WHITE; BACKGROUND:BLUE">interface, political, evolution </SPAN>'''''and '''''<Span Style="COLOR:WHITE;BACKGROUND:BLUE">epistemological</SPAN>''''') are the foundation upon which the analysis as presented follows. Addressing these questions meant acknowledging that they entail both explicit and implicit questions.  
'''''<Span Style="COLOR:WHITE;BACKGROUND:BLUE">Synthesis.''''' Four question groups (indicated above '''''<Span Style="COLOR:WHITE; BACKGROUND:BLUE">interface, political, evolution </SPAN>'''''and '''''<Span Style="COLOR:WHITE;BACKGROUND:BLUE">epistemological</SPAN>''''') are the foundation upon which the analysis as presented follows. Addressing these questions meant acknowledging that they entail both explicit and implicit questions.  



Revision as of 21:03, 30 October 2023

OPENAI.png

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.
Specifically, risks that involve or are:

  • Interfacing/Accessibility-Conformability - Synthesis. how will different groups interact with, respond to and be affected by it; might access modalities available to one group have positive or negative implications for other groups;
  • Political/Competitive - Synthesis. how might different groups or actors gain or lose relative advantage; also, how might it be used as a tool of control;
  • Evolutionary/Stratification - Synthesis. might new classifications of social categories emerge; were phenotypical bifurcations to emerge would or how would the manifest themselves;
  • Epistemological - Synthesis
    how to reconcile ethical issues within a society, between societies; more specifically, might it provide solutions or results that are acceptable to the one group but unacceptable to the other group;

Synthesis. Four question groups (indicated above interface, political, evolution and epistemological) are the foundation upon which the analysis as presented follows. Addressing these questions meant acknowledging that they entail both explicit and implicit questions.

Game: Zero or Non-Zero Sum. Each question group points to questions of power shift dynamics; who comes out ahead and who does not;
Impressions and Sentiment Addressing these question indicated that making a short survey of reporting with the intent to gauge the reported sentiment might offer some insight. The results suggested four major categories. These sentiments included (positives favor continued advances worried cautious, worried; alarmed petitioned for government intervention; battle stations! being overtaken by a rival is unacceptable);
The way that these sentiments were categorized in terms of risk involved describing the kind of risk that each seemed to be either stating explicitly or implying.
Operations, i.e. might understanding CG4's internal mechanisms offer insight into how one group might gain or lose advantage? might understanding how similar Deep Learning systems work and how or if they insight into their own operational processes?
Risks. Framing the observable sentiment into categories made describing CG4 into risk categories became considerably easier. Three primary categories emerged: systemic, malicious and theoretical. The category of theoretical obliged the recognition that CG4 is inherently dual-use. The result was the category of risks that are (systemic: innate - simply because the technology exists; malicious actors: old tasks new tools; theoretical and speculative: possible now, like controlling fire);
Quantum wild card. The IBM Quantum System Two (EOM 2023) has served notice that it will release 432 q-bit Osprey. Migrating Deep Learning systems to a quantum computing environment will result in a before/after event.
Caveats Our analysis to this point has suggested that several crucial factors be acknowledged. These include such observations that Deep Learning technology results are dual use. They can be used to further facilitate social, economic and political well being. But they can also be used for malicious purposes that can not yet be imagined.
Intermediate Synthesis Based upon what we have observed and ruminated on to this point we offer a few intermediate observations before moving to the more speculative prospects that may follow.
Speculations The prospects described in the following paragraphs are derivative of what is now known to be possible. They are intended to be on the cautious and conservative side of the spectrum of possible new uses. Doubtless developments may well show that they were altogether too cautious.
Conclusions Finally we try to arrive at what supports our position regarding how the question groups were answered. These were the questions on interfaces, political, evolutionary and epistemology.
Note & References The notes and references that follow are intended to provide further support to the theses promoted in this effort.
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