User:Darwin2049/chatgpt4 omega interface

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 either involve or actually are:

• Interfacing/Access: how different groups can or will interact with, respond to and be affected by this new capability;
  

Might the various access modalities that are available to one group have positive or negative implications for other groups.

Looking forward the user interface or access mechanism to tools such as CG4 or its derivatives are most likely going to track with how the users themselves pursue their objectives and goals.
Mathematicians will most likely make use of mathematical symbology and diagrams. One can envision communications between members of various mathematical societies and organizations using diagrams such as one depicting Galois theory.

In another case there might be a development in social network analysis wherein a discovery is evident only if relationships are mathematically depicted such as in a social network.

Specialists pursuing the analysis of new genomic or Proteomics insights might facilitate their efforts by using an interface that highlights specific features of a molecule’s structure.

Because this might be the most effective way to convey new developments or discoveries. For users who have little or no familiarity with these domains the interaction pathways and control mechanisms could well be unintelligible.
Existing interface systems allow for spoken commands. A user can present verbal commands to a wide variety of systems using simple spoken direct language. Increasingly many applications and websites use verbal output as a mean to facilitate simplified interaction. The more sophisticated interface approaches will use combinations of these to expedite task progress. Looking forward there will be a proliferation of large to very large screen display environments.

Depending upon the level of sophistication of how the cognitive prosthetic is accessed a highly sophisticated form of equipment might be required in order to perform even simple tasks. Such interaction might make use of some form of VR or AR equipment such equipment like the

device. Attempting to access and control the specific system involved might be difficult if not impossible without the appropriate equipment.

From the other end of the spectrum we should expect to see interfaces that rely on in-ear means of communication with always-on systems. These are likely to merge with the rapidly developing visual display devices that are worn like a pair of glasses but which are in fact high resolution display devices that connect the user to an information system of their choice.
Going forward interacting with increasingly advanced forms of artificial intelligence will require considerable training to control their capabilities. These user interfaces become much more tailored to meet specific task needs with far greater flexibility than existing user interfaces.

By way of offering more concrete examples following are just a few possibilities that existing for near term tools will become available.

• Summation: looking forward we should expect to see a wide range of access mechanisms to cognitive prosthetics. Specialized access methodologies and tools will gravitate toward new standards that will reflect the specific needs of those communities involved in targeted work areas and tasks. But to name several categories we should expect to see interface approaches that enable:
  

• Bottom line: we have entered a new era of interaction. The range of possibilities are very broad.

• Point of Entry (POE). Corporations and similar related enterprises will no longer employ humans to greet visitors. These kinds of tasks will be handled by lifelike avatars that are trained on a wide range of human interaction tasks. These will likely be offered as generalists. More advanced and specialized variants will provide very sophisticated interaction capability but for targeted domains.
  • Generalists. This might be an avatar that is indistinguishable from a live human being. Their features, demeanor, expressions and overall behavioral traits will flawlessly mimic those of a human. A range traits and behaviors will be available from a catalog of predefined items that a user or purchaser will select and combine. They will be adjusted to offer appropriately pitched greeting and welcoming situations.
  • Specialists. These types of avatars will also be indistinguishable from a live human being but will offer highly specific support for very advanced tasks. These might include medical diagnosis, design of advanced engineering or scientific products or services. In short they will be the interface that a user interacts with to perform their tasks.
• Messaging. We can imagine all forms of messaging that range from perfunctory greetings to highly elaborate message or instruction delivery. These will offer sophisticated interactive capability wherein the individual interacting with the messaging system will be able to issue queries and receive appropriate responses that enable further refinement of messages intended for one or more individuals or audiences. These may be for the purpose of political campaigns, new product or service promotion or other forms of communication that require sophistication and refinement.
• Personal assistants and intermediaries. Those of "a certain age" will recall the rise of telephone answering machines... "please leave a message after the beep". Looking just a very short way forward we can imagine a personal assistant capable of receiving contact events, and offering specific responses depending upon the caller; they will manifest as existing or previously existing individuals such as prominent historical figures or entertainers. It can likewise be the case that a user might utilize more than one personal assistant. One might serve the purpose of prioritizing responses depending upon the caller. A more specialized personal assistant might manifest as a different persona and possess episodic memories of all previous interactions.
• Operations.
  • Support and maintenance of complex engineering systems.
  • Scheduling and management of personnel, logistics.
• Education.
  • Basic skills. A brief excursion with Chat GPT3.5 or GPT4 will demonstrate that this is a system that is capable of providing contextually meaningful information. It has shown that it can calibrate its level of explanatory detail depending upon the level of skill of the user. This means that a user can ask for an explanation of transfinite numbers or the Goedel Incompleteness Theorem or what quaternions are and it can provide an explanation that a sixth grader can understand. It can then recalibrate its explanation such that a university professor might incorporate in a lecture on the subject. It can provide either a short, succinct explanation or a much more detailed one as necessary. This means that effectively this is an entirely new capability that will further the ability of individual to learn new subjects at a pace that they themselves can sustain.
  • Intermediary. Individuals who are navigating their way through the education process very often discover that in order to gain admittance to a specific course of their interest they are obliged to take introductory or prerequisite courses. GPT4 is a powerful tool that can facilitate and shorten the process of preparation. A fundamentally powerful feature of GPT4 as an educational tool is that it can provide alternative explanations to a specific subject tirelessly.
  • Languages. With the addition of voice input and output an individual can boost their ability to master another language. Moreover and individualized training curriculum can be constructed that can be pitched to keep the student focused and interested.
  • Advanced specialized topics. A specialist might recognize that their pursuit of a solution might entail solutions or responses that might be adjacent or exterior to their own familiarity or area of expertise. In this juncture GPT4 can be called upon to provide responses and insight into those areas as necessary. Better still it is possible to perform what is called "fine tuning" to provide a more generic version of GPT4 with that specialized knowledge.
• Entertainment.
  • Life-like role playing games. Current online or electronic based entertainment enable a player to interact with a lifelike realities or forms of existence that have no direct analog to everyday experience. If one were to survey many of the PC based or online based games there will be the gradual recognition that they tend to be oriented to the specific demographics of younger people. This leaves out several demographic groups that might benefit by having the opportunity to interact with environments and situations that more closely reflect where they are in their lives at that moment.
  • Non Player Characters.
• Analysis – Design and Development.
  • Physical Sciences.
  • Engineering.
• Immersive Exploratory Realities.
  • Training.
  • Service or product support and maintenance.
  • Negotiation.
  • Psychotherapy.
  • Social services.
  • Life and social skills coaching and training. Current capabilities allow for interaction with historical figures. These historical figures might be specific individuals who have produced a body of work that can be used as a basis for developing and sustaining extended dialogs. Or they might represent known bodies of knowledge that have no individualized persona. These might be works such as the Koran, the Bible or the Torah. A wide range of knowledge sources will become available such that an invidual might interact with such artifacts by engaging in a dialog with an appropriately configured avatar.
  • Social, cultural narrative articulation, clarification.
  • Marketing.
  • Brand Promotion Analytics.
  • Political Messaging.
  • Disinformation - Deep Fakes.
  • False Flag operations.
  • Anonymous trusted intermediaries.
  • Espionage: training, recruitment, infiltration, operations, exfiltration.
  • Advisors, associates, friends.

In all cases they will offer lifelike resolution with facial features and expressiveness that will rival that of the most advanced actor’ their audio capabilities will offer accentless speech with perfect articulation, diction and annunciation.

We are witnessing human communication that will be expedited or otherwise augmented well beyond what has gone before. The possibilities for constructive and beneficial usage will dramatically improve the ability of individual to communicate with each other as well as with corporate entities.

OPPORTUNITIES. We should expect to see a dramatic almost Cambrian Explosion of possibilities. Products and services will emerge in the near term that will capitalize upon the facilities that CP's can offer.

RISKS. All the while as we are recognizing a remarkable range of new possibilities we must be vigilant and on guard to the realities of whole new categories of risk that we could have till now not imagined. The possibilities associated with creating false messaging are hard to fathom. False flag operations, deep fake videos with spurious, false or misleading narratives being presented as fact can lead to a highly volatile social environment.

However the risks will increase in a commensurate fashion. We should expect to see the further refinement of systemic, malicious and theoretical risks proliferate and develop in ways that will require far greater sophistication in our levels of ability to recognize and respond than what our current levels of interaction require.
We should expect to see a blurring of what we know or believe to represent consensus reality and what is hypothetical or theoretical. These will be especially evident in the arena of messaging. Existing open source tools are currently available that offer a competent user to masquerade themselves as any other person either known or historical.

• Political/Competitive: how might different groups or actors gain or lose relative advantage; also, how might it be used as a tool of control;

Political - Synthesis.

• Evolutionary/Stratification: might new classifications of social categories emerge; were phenotypical bifurcations to emerge would or how would the manifest themselves;

Evolutionary - Synthesis.

• Epistemological/Ethical relativism: 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; recent attention has been drawn to the evidence that a LLM such as CG4 may begin to exhibit sycophancy in its interactions with a user; even if the value stance of the user can be considered as an equivocation;

Epistemological - Synthesis

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