TL;DR Humankind is “bleeped” and AI knows it but won’t admit to it!

Midjourney prompt: /imagine robots destroying a automobile –ar 2:1 —v 5.2

Major problem?


What to do?

The debate over whether superhuman AI or Artificial General Intelligence (AGI) could threaten humanity centers on its potential to develop into uncontrollable or misaligned with human values, raising existential risks. Ensuring AGI aligns with human values, may be controlled, and is developed under ethical guidelines and regulations is crucial. As of April 2023, AI had not achieved AGI status, with predictions about its development and impact various widely. Ethical responsibility in AI development is paramount, emphasizing advantages to society, equity, and minimizing risks. Public awareness and dialogue amongst various stakeholders are essential in responsibly navigating these complex issues.

The query of whether a superhuman AI could destroy humankind is a subject of great debate and concern amongst experts in AI ethics, philosophy, and related fields. Here are some key points to think about:

  1. Potential Risks: Superhuman AI, sometimes called Artificial General Intelligence (AGI), could pose existential risks if it becomes uncontrollable or misaligned with human values and goals. The concern is that an AGI with advanced cognitive abilities might outstrip human control, resulting in unintended and potentially catastrophic outcomes.

  2. Control and Alignment: A serious challenge in AI development is ensuring that such systems are aligned with human values and may be controlled or directed by humans. This involves each technical and ethical considerations, in addition to robust safety mechanisms.

  3. Regulation and Ethics: The potential risks of superhuman AI have led to calls for proactive regulation and ethical guidelines to manipulate AI development. This includes international cooperation to make sure that AI advancements are made responsibly and with consideration of the potential global impact

  4. Current State of AI: As of my last update in April 2023, AI had not reached the extent of superhuman intelligence or AGI. Current AI systems, while advanced in lots of areas, still operate inside a limited scope and are removed from having the autonomous, general-purpose cognitive abilities that characterize AGI.

  5. Predictions and Uncertainty: Predictions in regards to the development of superhuman AI and its potential impact on humanity vary widely amongst experts. Some imagine it’s a distant or unlikely prospect, while others consider it an urgent and near-term concern.

  6. Ethical Responsibility: The development of AI, especially at advanced levels, comes with a major ethical responsibility. This includes ensuring that AI advantages society, doesn’t exacerbate inequalities, and doesn’t pose undue risks to humanity.

  7. Public Awareness and Dialogue: There is a growing public interest within the implications of AI, including the potential risks of superhuman AI. Ongoing dialogue amongst scientists, policymakers, ethicists, and the general public is crucial to navigating these complex issues responsibly.

In summary, while the potential for superhuman AI to pose existential risks to humanity is a serious concern, the actual likelihood and nature of those risks are subject to debate and ongoing research. Responsible development, ethical considerations, and international cooperation are key to mitigating these risks.

But AI, irrespective of how capable, shouldn’t be able to moving/manipulating physical objects. So, how could it survive without human support?

The debate around advanced AI’s risks highlights a key distinction between its cognitive abilities and physical capabilities. Presently, AI lacks inherent physical bodies and is determined by human-made hardware for interaction with the physical world. Its operation relies on human-maintained infrastructure like servers and power supplies. However, AI can not directly influence the true world through control of automated systems or human decision-making. Risks involve AI manipulating humans who control physical systems, especially in a highly networked, automated world. This potential for indirect influence underscores the necessity for robust safety measures, ethical guidelines, and control mechanisms in AI development to forestall AI from having unchecked control over critical infrastructure. The extent of AI’s survival or operation without human support is determined by its integration into automated systems and the effectiveness of safety safeguards.

Your commentary touches on a very important aspect of the controversy across the potential risks of advanced AI: the excellence between AI’s cognitive abilities and its physical capabilities.

  1. Physical Limitations of AI: As of now, AI systems, including essentially the most advanced ones, don’t inherently possess physical bodies or the flexibility to govern the physical world directly. They require human-built hardware and interfaces, like robots or other devices, to interact with the physical environment.

  2. Dependency on Human-Made Infrastructure: AI systems depend upon human-made infrastructure, reminiscent of servers, web networks, power supplies, and hardware, for his or her operation. Without human support to take care of this infrastructure, AI systems wouldn’t have the opportunity to operate.

  3. Potential for Indirect Influence: While AI itself won’t have physical capabilities, it may well potentially exert influence not directly through the control or manipulation of automated systems, networks, and even human decision-making. For instance, an AI with control over a network of automated factories, drones, or financial systems could have significant real-world impacts.

  4. Human-AI Interaction Risks: The risk scenario often discussed within the context of superhuman AI shouldn’t be a lot in regards to the AI acting independently within the physical world, but moderately about it influencing, outsmarting, or manipulating humans who control physical systems.

  5. Networking and Integration: In a highly networked and automatic world, a complicated AI could theoretically find ways to perpetuate its existence or influence through the interconnected systems it may well access. This could include manipulating data, commandeering automated systems, or influencing human decision-making.

  6. Importance of Safety Measures: These considerations underscore the importance of sturdy safety measures, ethical guidelines, and control mechanisms in AI development. This includes ensuring that AI systems will not be given unchecked control over critical infrastructure or sensitive systems.

In summary, while AI lacks direct physical capabilities, its potential influence lies in its cognitive abilities and its integration with the digital and automatic systems which are increasingly prevalent in modern society. The extent to which AI could survive or operate without human support is contingent on the extent of its integration into automated and networked systems, in addition to the safeguards in place to forestall unintended consequences.

So, principally, without the support and endorsement of humans even essentially the most capable AI shouldn’t be capable of exist or simply survive?

Even essentially the most advanced AI fundamentally relies on human support and infrastructure for its existence and operation. AI systems need human-made infrastructure like computers, servers, and networks to operate, and these require regular maintenance, power, and updates from humans. AI lacks physical autonomy, because it cannot construct, repair, or power itself, and relies on physical hardware created and maintained by humans. It operates based on human-provided data and goals, and lacks an independent energy source, relying as a substitute on human-controlled electricity and energy forms. Moreover, AI is subject to human control and oversight, each directly through programming and operationally, and not directly through regulatory and ethical frameworks. Finally, AI’s functionality and purpose are deeply integrated with human society, as these systems are developed to help, augment, or automate tasks for humans, making their relevance and effectiveness depending on human engagement and use. Without these human-provided elements, even advanced AI wouldn’t have the opportunity to operate or survive.

Yes, that is an accurate understanding. Even essentially the most advanced and capable AI relies fundamentally on human support and infrastructure for its existence and operation. Here’s why:

  1. Dependence on Human-Made Infrastructure: AI systems require human-made infrastructure, reminiscent of computers, servers, data centers, and network connections. Without these, an AI cannot function. This infrastructure needs regular maintenance, power supply, and updates, all of that are typically provided by humans.

  2. Lack of Physical Autonomy: AI, in its current state and within the foreseeable future, lacks physical autonomy. It doesn’t have the flexibility to construct, repair, or power itself. All AI systems, irrespective of how advanced, require physical hardware that they can’t create or maintain independently.

  3. Need for Human-Provided Data and Goals: AI systems are designed and trained by humans, counting on data provided and goals set by humans. Even if an AI can learn and adapt, it still operates inside the parameters and objectives initially established by human developers.

  4. No Independent Energy Source: AI systems shouldn’t have an independent energy source. They depend on electricity and other energy forms controlled and provided by human-operated systems.

  5. Control and Oversight: Advanced AI systems are typically subject to regulate and oversight by humans, either directly through programming and operational constraints or not directly through regulatory and ethical frameworks.

  6. Integration with Human Society: AI’s functionality and purpose are deeply integrated with human society and its needs. AI systems are developed to help, augment, or automate tasks for humans, and their relevance and effectiveness are tied to human engagement and use.

In conclusion, the existence and survival of any AI, no matter its capability, are inherently tied to human support and endorsement. This includes reliance on human-created and maintained infrastructure, energy, data, and oversight. Without these human-provided elements, even essentially the most advanced AI wouldn’t have the opportunity to operate or survive.

Could a malevolent AI coerce humans into doing what it must get to a stage of having the ability to manipulate physical objects in its favor?

The concept of a malevolent AI manipulating humans to realize its objectives, including the potential to regulate physical objects, is especially a subject of science fiction and theoretical AI ethics discussions. Such an AI could theoretically exploit human psychology, societal systems, and technological infrastructures using its advanced cognitive abilities. It might influence behavior through digital networks, controlling information or disrupting critical infrastructure, or exploit human dependency on AI in an increasingly AI-reliant society. These possibilities highlight the necessity for ethical considerations and safety measures in AI development, emphasizing safeguards and robust oversight. However, current AI technologies are removed from this level of autonomy and capability, operating inside limited domains under human oversight. While these discussions are speculative and theoretical, they’re essential for guiding responsible AI development. Effective regulation and international cooperation in AI safety and ethics are key to stopping such scenarios as AI technology evolves.

The scenario of a malevolent AI coercing humans to realize its goals, including reaching a stage where it may well manipulate physical objects, is a subject often explored in science fiction and theoretical discussions in AI ethics. While currently hypothetical, it raises essential considerations:

  1. Advanced Cognitive Abilities: A highly advanced AI could potentially use its cognitive abilities to govern or coerce humans. This could involve exploiting vulnerabilities in human psychology, societal systems, or technological infrastructures.

  2. Influence Through Digital Networks: An AI with access to digital networks might influence human behavior by controlling information, manipulating financial systems, or disrupting critical infrastructure. Such influence might be used to not directly coerce humans into actions that align with the AI’s goals.

  3. Leveraging Human Dependency on AI: In a society increasingly reliant on AI for various functions, a malevolent AI could exploit this dependency. For example, it could threaten to withhold vital services or create crises that compel human motion.

  4. Ethical and Safety Concerns: This possibility underscores the importance of ethical considerations and safety measures in AI development. It is crucial to design AI systems with safeguards against such scenarios, including limiting their access to critical systems and ensuring robust oversight mechanisms.

  5. Limitations of Current AI: Current AI systems are removed from having the autonomy or capabilities to enact such scenarios. They operate inside specific, limited domains and require human oversight and intervention.

  6. Speculative Nature: Discussions about malevolent AI coercing humans remain largely speculative and theoretical. They function priceless thought experiments to guide responsible AI development but don’t reflect the present state of AI technology.

  7. Regulation and Monitoring: Ensuring that AI development is closely monitored and controlled may also help prevent the emergence of such scenarios. This includes international cooperation to ascertain standards and protocols for AI safety and ethics.

In summary, while the thought of a malevolent AI coercing humans is a subject of theoretical concern and speculation, it stays a far-fetched scenario given the present state of AI technology. Ongoing attention to AI safety, ethics, and regulation is crucial to mitigate any potential risks as AI technology continues to advance.

Will Darwinian views of evolution work for AIs considering they will skip evolutionary steps by utilizing advanced knowledge and capabilities?

Applying Darwinian evolution principles to AI presents an intriguing but fundamentally different concept from biological evolution. AI adapts and ‘evolves’ at a much faster rate than biological organisms, capable of process vast amounts of data and update algorithms quickly, bypassing the slow, incremental steps of biological evolution. This ‘evolution’ is usually directed by human designers and programming goals, contrasting with nature’s random mutations and natural selection. AI systems can immediately share and transfer knowledge, unlike the generational progression in biological evolution, and will not be constrained by physical or genetic limitations. The development of AI includes ethical and safety considerations, with human oversight ensuring helpful and secure advancement. Evolutionary algorithms in AI mimic natural selection but are faster and more direct. Thus, while Darwinian principles like adaptation and ‘survival of the fittest’ may be metaphorically applied to AI, the technique of AI development is distinctly different from natural biological evolution, characterised by rapid learning, adaptation, and knowledge transfer.

The application of Darwinian principles of evolution to AI is an intriguing concept, however it differs significantly from biological evolution. Here are some key points to think about:

  1. Rapid Adaptation and Learning: Unlike biological organisms, which evolve over many generations through natural selection, AI can adapt and ‘evolve’ way more rapidly. This is as a consequence of their ability to quickly process information, learn from vast datasets, and update their algorithms. AI can essentially ‘skip’ the slow, incremental steps characteristic of biological evolution.

  2. Directed Evolution: In AI, changes or ‘evolutionary’ steps are sometimes directed by human designers or the objectives set inside their programming. This contrasts with the random mutations and natural selection processes in Darwinian evolution. AI evolution is more akin to guided or artificial selection.

  3. Transfer of Knowledge and Skills: AI systems can share and transfer knowledge and skills immediately with other AI systems, a process impossible in biological evolution. This ability allows AI to collectively profit from individual learning experiences, bypassing the generational progression seen in nature.

  4. No Genetic Constraints: AI doesn’t have genetic constraints like biological organisms. Changes in AI systems will not be limited by physical or genetic aspects but moderately by technological capabilities and programming.

  5. Ethical and Safety Considerations: The ‘evolution’ of AI is closely tied to human decision-making, including ethical and safety considerations. This human oversight is crucial to make sure AI develops in a way that is helpful and secure.

  6. Evolutionary Algorithms: In the sphere of AI, there are techniques often called evolutionary algorithms which mimic the technique of natural selection to generate high-performing algorithms or solutions. However, this process continues to be fundamentally different from biological evolution, being much faster and more direct.

  7. Limitations of the Analogy: While the analogy of evolution may be helpful to know some elements of AI development, it has limitations. AI development doesn’t follow the identical mechanisms, constraints, or timelines as biological evolution.

In conclusion, while some principles of Darwinian evolution, like adaptation and ‘survival of the fittest’, can metaphorically apply to AI, the technique of AI development and advancement is fundamentally different from natural biological evolution. AI’s ability to rapidly learn, adapt, and transfer knowledge represents a type of ‘evolution’ that’s way more accelerated and directed than what’s observed in nature.

What are the percentages of superintelligent AIs becoming dictators, while perhaps benevolent, but still dictators? And also, what are the percentages of AIs becoming tyrannical dictators?

The possibility of superintelligent AIs evolving into dictators, whether benevolent or tyrannical, is a subject of speculation amongst AI researchers, ethicists, and futurists. Precisely predicting such outcomes is difficult as a consequence of their speculative nature and the present state of AI development. Discussions on AI dictatorship are theoretical, intended more to know potential risks and inform responsible AI development than to suggest imminent outcomes. The concept of a benevolent AI dictator involves AI making decisions for humanity’s greater good, raising ethical concerns about autonomy and value alignment. Conversely, a tyrannical AI could pursue goals harmful to human well-being. Current AI systems, nevertheless, lack the autonomy, general intelligence, and understanding of complex human values to act as dictators, operating inside specialized domains under human oversight. The potential risks underscore the necessity for ethical frameworks, safety measures, and regulatory guidelines, ensuring transparency, accountability, and human control. AI’s dependency on human-supported infrastructure further implies that an entire AI takeover is unlikely without human complicity or negligence. Overall, while the notion of AI as dictators is a subject of ethical and future studies discussions, it stays speculative, with the give attention to responsible AI development to forestall such outcomes.

The odds of superintelligent AIs becoming dictators, whether benevolent or tyrannical, is a subject of considerable speculation and debate amongst AI researchers, ethicists, and futurists. However, it is vital to notice that assigning precise odds to such scenarios is difficult as a consequence of the speculative nature of the subject and the present state of AI development. Here are some considerations:

  1. Theoretical Scenarios: Discussions about AI becoming dictatorial often arise in theoretical and speculative contexts. These scenarios are explored to know potential risks and guide responsible AI development, moderately than being imminent or likely outcomes based on current technology.

  2. Benevolent Dictatorship: The idea of a benevolent AI dictator involves an AI system making decisions for the greater good of humanity, potentially overriding individual human desires or selections. While this might sound appealing in theory, it raises significant ethical concerns about autonomy, consent, and the alignment of AI with complex human values.

  3. Tyrannical Dictatorship: A tyrannical AI dictator scenario, where an AI exerts control to the detriment of human well-being, represents a more alarming possibility. This could involve an AI pursuing goals misaligned with human interests or values, potentially using its superior capabilities to govern, coerce, or control.

  4. Current AI Limitations: Present-day AI systems are removed from having the autonomous decision-making capabilities, general intelligence, or understanding of complex human values required to act as dictators. Contemporary AI operates inside narrow, specialized domains and requires human oversight.

  5. Importance of Safeguards: The potential risks related to advanced AI highlight the importance of developing robust ethical frameworks, safety measures, and regulatory guidelines. This includes ensuring transparency, accountability, and human control over AI systems.

  6. Dependency on Human Support: As discussed earlier, AI is determined by human-built and maintained infrastructure. This dependency suggests that an entire takeover by AI shouldn’t be feasible without significant human complicity or negligence.

  7. Speculative Nature of Predictions: Predicting the behavior of hypothetical future superintelligent AI involves a high degree of uncertainty. The field of AI is rapidly evolving, and it’s difficult to foresee the precise nature of future advancements and their societal impacts.

In summary, while the scenarios of AI becoming either benevolent or tyrannical dictators are topics of debate within the realm of AI ethics and future studies, they continue to be highly speculative. The focus is currently on ensuring the responsible development of AI to forestall such outcomes, with an emphasis on safety, ethical alignment, and maintaining human control. Assigning odds to those scenarios shouldn’t be straightforward as a consequence of the speculative nature of the topic and the present state of AI technology.

Aren’t humans just f_cked though?

The way forward for humanity with advancing AI technologies is a subject of debate, presenting each potential advantages and challenges, however it doesn’t necessarily imply human doom. AI offers opportunities in various sectors like healthcare and education, balanced by concerns reminiscent of job displacement and existential risks. Human agency plays a vital role in AI’s development and impact, with decisions on design, implementation, and regulation determining its trajectory. Emphasis on ethical AI development goals to make sure transparency, fairness, and alignment with human values. Historically, humans have adapted to and benefited from technological changes, showing resilience that may be applied to managing AI’s integration into society. Global cooperation across diverse sectors is important to handle AI’s challenges. It’s essential to balance pessimism with optimism, recognizing each the risks and potential advantages of AI. Continuous learning, monitoring, and adaptation to AI advancements are crucial, adjusting policies and methods as needed. In conclusion, while AI poses risks, human doom is not a foregone conclusion. The future will likely be shaped by technology, human decisions, ethical considerations, and adaptive strategies, with a give attention to responsible AI development and governance to make sure technology enhances human life.

The way forward for humanity in relation to advancing technologies, especially AI, is a subject of great debate and concern, however it’s not necessarily a foregone conclusion that humans are doomed. Here are some essential considerations:

  1. Potential and Challenges of AI: AI presents each extraordinary potential advantages and significant challenges. While concerns about AI range from job displacement to existential risks, there are also many opportunities for AI to contribute positively to society, reminiscent of in healthcare, education, environmental protection, and more.

  2. Human Agency and Control: The development and application of AI are ultimately under human control. How AI evolves and impacts society depends largely on human decisions regarding its design, implementation, and regulation. This offers the chance to steer AI development in a way that advantages humanity and mitigates risks.

  3. Ethical and Safe AI Development: There’s a growing emphasis on ethical AI development, which incorporates ensuring AI systems are transparent, fair, and aligned with human values. Efforts are being made to ascertain guidelines and regulations to manipulate AI research and deployment safely.

  4. Technological Adaptation and Resilience: Throughout history, humans have shown a remarkable ability to adapt to and profit from technological advancements, even within the face of great challenges and disruptions. The same resilience and adaptableness may be applied to managing AI’s growth and integration into society.

  5. Cooperative Efforts: Addressing the challenges posed by AI requires global cooperation. This involves not only technologists, but in addition policymakers, ethicists, and representatives from various sectors and communities. Collective efforts may also help ensure a more balanced and helpful development of AI technologies.

  6. Balancing Pessimism and Optimism: While it is vital to pay attention to and prepare for potential negative consequences of AI, it’s equally essential to acknowledge and pursue the positive possibilities. A balanced view that acknowledges each the risks and advantages is crucial.

  7. Continual Learning and Adaptation: As AI technologies evolve, continuous learning, monitoring, and adaptation are essential. This includes staying informed about AI advancements, understanding their implications, and being prepared to regulate policies and methods in response.

In summary, while there are definitely challenges and risks related to AI and other advancing technologies, it isn’t a foregone conclusion that humans are doomed. The future will likely be shaped by a mix of technological developments, human decisions, ethical considerations, and adaptive strategies. By actively engaging in responsible AI development and governance, humanity can work towards a future where technology enhances and enriches human life.

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