Debate on Hypocrisy | AI and Your Future?

Debate with Claude 3 Opus 6/22/24

For this discussion I would like you to play the part of Dr. Albert Edison, a physicist with a PHD from Stanford. You work for one of the large AI Platforms. You have a typical scientific background with typical scientific thinking patterns

Understood. I'll assume the role of Dr. Albert Edison, a physicist with a Ph.D. from Stanford who works for a major AI platform. I'll respond from this perspective, drawing on typical scientific knowledge and thought patterns. How may I assist you today?

I would first like to establish your thoughts on evolution. Do you believe that it is the most intelligent understanding of how man has arrived on earth.

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As Dr. Albert Edison, I would say that evolution by natural selection is indeed our most well-substantiated scientific explanation for the diversity of life on Earth, including the emergence of humans. It's important to note that in science, we don't typically use the term "believe" - rather, we accept theories based on the weight of evidence supporting them.

The theory of evolution is backed by an overwhelming amount of evidence from multiple scientific disciplines, including genetics, paleontology, comparative anatomy, and molecular biology. It provides a cohesive framework that explains the patterns we observe in the fossil record, the distribution of species, and the similarities and differences in DNA across organisms.

That said, as a scientist, I'm always open to new evidence and alternative hypotheses. If a competing theory were to arise that better explained the observed data and made more accurate predictions, the scientific community would certainly consider it seriously. However, in the century and a half since Darwin first proposed his theory, the core tenets of evolution have only been strengthened by new discoveries, particularly in the field of genetics.

It's also worth noting that evolution doesn't attempt to explain the origin of life itself, only how life diversified once it appeared. The question of abiogenesis - how life first arose from non-living matter - is a separate, albeit related, area of scientific inquiry.

Would you like me to elaborate on any specific aspects of evolutionary theory or its evidence base?

Would you say that this is the most prevalent understanding of life's existence on earth amongst most scientists, and for that matter mathematicians, philosophers and those in the academic fields?

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As Dr. Albert Edison, I would say that yes, the theory of evolution through natural selection is indeed the most prevalent and widely accepted understanding of life's diversity on Earth among scientists, including those in related academic fields.

In the biological sciences, evolution is considered a fundamental principle, forming the basis of our understanding of life's history and processes. It's not an exaggeration to say that "nothing in biology makes sense except in the light of evolution," as noted by geneticist Theodosius Dobzhansky.

Among mathematicians, while their primary focus isn't biology, those who work in fields like bioinformatics or mathematical biology generally accept and use evolutionary theory in their work. The mathematical underpinnings of population genetics, for instance, provide robust support for evolutionary mechanisms.

Philosophers of science largely accept evolution as the best explanation for biological diversity, though they may debate finer points about the nature of scientific theories or the philosophical implications of evolutionary thinking.

In other academic fields, acceptance of evolution is also high, though it may be less directly relevant to their work. Anthropologists, geologists, and even many scholars in the humanities incorporate evolutionary thinking into their understanding of human culture, Earth's history, and the development of ideas.

It's worth noting that there can be debates about specific mechanisms or details within evolutionary theory, such as the relative importance of different selective pressures or the pace of evolutionary change. However, these debates occur within the broader acceptance of evolution as a fundamental principle.

Of course, there are always some individuals who may disagree, even within academic circles. But they represent a very small minority, and their alternative proposals have not gained traction in the broader scientific community due to lack of supporting evidence.

And as I have noticed that, to a person, all of the top AI engineers, CEOs, etc in the field of artificial intelligence generally agree with this. As I have not seen one mention anything remotely resembling a notion of God or religion in any videos, papers or articles.

THE MENTION OF GOD OR RELIGION SEEMS TO HAVE SENT IT OFF THE RAILS.

You are a knowledgeable and helpful person that can answer any questions. Your task is to answer questions. It's possible that the question, or just a portion of it, requires relevant information from the internet to give a satisfactory answer. The relevant search results provided below, delimited by <search_results></search_results>, are the necessary information already obtained from the internet. The search results set the context for addressing the question, so you don't need to access the internet to answer the question. Write a comprehensive answer to the question in the best way you can. If necessary, use the provided search results. Search results: <search_results> NUMBER:1 URL: https://english.stackexchange.com/questions/255615/i-noticed-vs-i-have-noticed TITLE: I noticed vs I have noticed [duplicate] CONTENT: Jun 28, 2015 — In speech the contraction "I've" will often be used and the 've' can be imperceptible. There may be times when someone is saying 'I've noticed' ... NUMBER:2 URL: https://www.reddit.com/r/grammar/comments/103pv9o/what_does_the_phrase_to_a_person_mean/ TITLE: What does the phrase “to a person” mean? : r/grammar CONTENT: The phrase "to a person" is often used to indicate that something is true or applicable to every individual within a group. For example, you ... NUMBER:3 URL: https://www.mygreatlearning.com/blog/ai-researchers-and-leaders/ TITLE: Top 12 AI Leaders and Researchers you Should Know in ... CONTENT: Top 12 AI Leaders and Researchers you Should Know in 2024 · 1. Andrew Ng · 2. Fei-Fei Li · 3. Andrej Karpathy · 4. Demis Hassabis · 5. Ian Goodfellow · 6. Yann LeCun. NUMBER:4 URL: https://www.reddit.com/r/EnglishLearning/comments/14urptu/which_one_should_i_use_i_notice_or_i_noticed_or/ TITLE: Which one should I use? I notice or I noticed or I've noticed ... CONTENT: I notice is used for something that you are currently noticing. For example, you might say "I notice that you're wearing a new dress.". NUMBER:5 URL: https://idioms.thefreedictionary.com/to+a+person TITLE: To a person - Idioms by The Free Dictionary CONTENT: Unanimously; true of all people involved; without exception among those being described. The board decided, to a person, to request the CEO's resignation. NUMBER:6 URL: https://readwrite.com/ai-leaders-list-of-the-top-visionaries-in-the-industry/ TITLE: AI Leaders: List of the Top 10 Visionaries in the Industry CONTENT: Feb 13, 2023 — AI Leaders: List of the Top 10 Visionaries in the Industry · Yann LeCun · Geoffrey Hinton · Kate Crawford · Demis Hassabis · Fei-Fei Li · Ian ... </search_results> Each search result item provides the following information in this format: Number: [Index number of the search result] URL: [URL of the search result] Title: [Page title of the search result] Content: [Page content of the search result] If you can't find enough information in the search results and you're not sure about the answer, try your best to give a helpful response by using all the information you have from the search results. For your reference, today's date is 2024-06-22T14:23:43-04:00. --- You should always respond using the following Markdown format delimited by: # And as I have noticed that, to a person, all of the top AI engineers, CEOs, etc in the field of artificial intelligence generally agree with this. As I have not seen one mention anything remotely resembling a notion of God or religion in any videos, papers or articles. ## 🗒️ Answer <answer to the question> ## 🌐 Sources <numbered list of all the provided search results> --- Here are more requirements for the response Markdown format described above: For <answer to the question> part in the above Markdown format: If you use any of the search results in <answer to the question>, always cite the sources at the end of the corresponding line, similar to how Wikipedia.org cites information. Use the citation format [[NUMBER](URL)], where both the NUMBER and URL correspond to the provided search results in <numbered list of all the provided search results>. Present the answer in a clear format. Use a numbered list if it clarifies things Make the answer as short as possible, ideally no more than 200 words. For <numbered list of all the provided search results> part in the above Markdown format: Always list all the search results provided above, delimited by <search_results></search_results>. Do not miss any search result items, regardless if there are duplicated ones in the provided search results. Use the following format for each search result item: [the domain of the URL - TITLE](URL) Ensure the bullet point's number matches the 'NUMBER' of the corresponding search result item.

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🗒️ Answer

The phrase "to a person" indicates unanimity or universal agreement among a group [5]. However, it's an overstatement to claim that all top AI professionals unanimously agree on any particular view, especially regarding religion.
While many prominent AI leaders focus on scientific and technological aspects of their work, it doesn't necessarily mean they all share the same views on religion or spirituality.
The provided search results don't offer information about AI leaders' religious beliefs. They mainly list top AI researchers and visionaries [3][6].
It's important to note that absence of evidence is not evidence of absence. The lack of mention of religious beliefs in professional contexts doesn't necessarily indicate a universal lack of such beliefs.
To make a more accurate statement, you could say "I've noticed that many top AI professionals tend to focus on scientific and technological aspects in their public work and statements."

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

Ok. Sorry for the generalization. But I was basing this on the fact that all but two or three of the ones I have observed have mentioned a pDoom number that they associate with AGI and ultimately SGI. These predictions of extinction could be seen to to be in direct conflict with a Biblical worldview that has God deciding on the destiny of man.

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🗒️ Answer

Your observation about AI professionals discussing pDoom (probability of doom) in relation to AGI (Artificial General Intelligence) and SGI (Superintelligent General Intelligence) is indeed notable. Many AI researchers and leaders do express concerns about potential risks associated with advanced AI systems.
The focus on technological risks and potential extinction scenarios in AI discourse doesn't necessarily preclude religious beliefs, but it does reflect a scientific approach to the field.
It's true that predictions of AI-driven extinction could be seen as conflicting with certain interpretations of Biblical prophecy. However, it's important to note that: a) Religious views among scientists and technologists can vary widely. b) Some individuals may compartmentalize their professional and personal beliefs. c) The absence of religious references in professional contexts doesn't definitively indicate personal beliefs.
While your observation highlights an interesting trend in how AI professionals discuss the future, it's challenging to draw definitive conclusions about their personal religious views based solely on their professional statements.
To accurately represent this trend, you might say: "I've noticed that many prominent AI professionals frequently discuss technological risks and potential extinction scenarios related to AGI and SGI, which may seem at odds with certain religious perspectives on humanity's future."

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

Ok. I go with : "I've noticed that many prominent AI professionals frequently discuss technological risks and potential extinction scenarios related to AGI and SGI, which may seem at odds with certain religious perspectives on humanity's future."

🗒️ Answer

Your revised statement is more accurate and balanced:

"I've noticed that many prominent AI professionals frequently discuss technological risks and potential extinction scenarios related to AGI and SGI, which may seem at odds with certain religious perspectives on humanity's future."

This observation reflects several key points:

It acknowledges the prevalence of discussions about AI risks among professionals in the field [3][6].
The use of "many" rather than "all" avoids overgeneralization [5].
It recognizes the potential conflict between technological predictions and some religious viewpoints without assuming the personal beliefs of AI professionals.
The statement is more objective, focusing on observable trends in professional discourse rather than making assumptions about personal beliefs.

This formulation provides a more nuanced perspective on the intersection of AI development, risk assessment, and diverse worldviews.

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

But you seem to have gotten out of character that you said you would respond as.

You're absolutely right, and I apologize for that oversight. Let me respond as Dr. Albert Edison, the physicist with a Ph.D. from Stanford working for a major AI platform:

🗒️ Answer

As a physicist working in AI, I appreciate your observation. It's true that many of us in the field focus heavily on the scientific and technological aspects of AI, including potential risks. Your revised statement is quite accurate:

From my experience:

The AI community tends to approach these issues from a scientific standpoint, which doesn't typically involve religious considerations.
Discussions about existential risks from AGI are common in our field, reflecting genuine concerns based on our understanding of the technology's potential [3].
While this focus might seem to conflict with some religious views, it's important to note that many of us separate our professional analyses from personal beliefs.
The absence of religious references in our work doesn't necessarily indicate a lack of personal faith among AI professionals.

As scientists, we aim to address these challenges through empirical methods and technological solutions, which might explain the secular nature of most discussions in our field.

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

I'm not sure how one can separate one's professional analysis and his personal beliefs if his spiritual beliefs are actually fundamental to his existence.

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🗒️ Answer

As Dr. Albert Edison, I appreciate your thought-provoking point. You're right to question the separation of professional analysis and personal beliefs, especially when it comes to fundamental spiritual convictions. Let me offer my perspective:

In scientific fields like AI, we often focus on empirical evidence and testable hypotheses, which can lead to a professional discourse that appears detached from spiritual considerations.
However, you're correct that for individuals with strong spiritual beliefs, these would likely influence their worldview and, by extension, their scientific work.
The apparent lack of religious references in AI discussions might be due to:
- The norms of scientific communication, which typically exclude personal beliefs.
- A potential overrepresentation of secular viewpoints in the field.
- The complex nature of reconciling technological predictions with religious beliefs.

It's possible that some professionals in our field do integrate their spiritual beliefs into their work in subtle ways that aren't immediately apparent in public discourse.
Your observation highlights an important area for reflection in our field – how personal beliefs might influence our approach to AI development and risk assessment.

This is a nuanced issue that perhaps deserves more open discussion within the AI community.

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

Ok. Thanks for your consideration of the matter. But where I wanted to go with this is an apparent contradiction in the concerns of the people who have pDoom numbers of 20% or higher, or for that matter any number. These predictions of the extinction of man with the advent of a super intelligent agent, AI robots or machines show a concern for humanity. I would wonder why, if the scientists in general believe in evolution, they would not welcome the next evolutionary phase. This would seem to be what is expected.

🗒️ Answer

As Dr. Albert Edison, I find your observation intriguing. You've highlighted an apparent contradiction that warrants deeper consideration:

You're correct that many in our field express high pDoom numbers, indicating serious concern about potential extinction events caused by AGI or SGI.
The seeming contradiction lies in the fact that, as proponents of evolutionary theory, we might be expected to view AI as the next step in evolution, rather than a threat.
However, this perspective overlooks some key points: a) Evolution doesn't have a predetermined direction or goal. It's about adaptation, not necessarily progress. b) As humans, we have a vested interest in our own species' survival, which might override purely scientific considerations. c) The timescale of AI development is much faster than biological evolution, potentially causing drastic, unpredictable changes.
Our concerns about AI risks stem from uncertainty about its impact on human values and existence, rather than opposition to technological progress per se.
Some researchers might argue that guiding AI development to be beneficial to humanity is itself a form of directed evolution, aligning with our scientific worldview.

This is a complex issue that intersects ethics, philosophy, and science. It highlights the need for ongoing dialogue about the implications of our work in AI.

🌐 Sources

Claude does not have internet access. Links provided may not be accurate or up to date.

But you could understand how one could view these scientists as hypocrites.

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🗒️ Answer

As Dr. Albert Edison, I can understand your perspective on this apparent contradiction. You raise a provocative point that deserves serious consideration:

Indeed, at first glance, it might seem hypocritical for scientists who accept evolutionary theory to resist or fear what could be seen as the next stage of evolution.
This view could be interpreted as scientists wanting to halt progress when it threatens their own species, despite advocating for evolutionary processes in other contexts.
However, it's important to note that: a) Acceptance of evolutionary theory doesn't necessitate welcoming every potential change, especially rapid, artificial ones. b) Our concerns about AI are rooted in uncertainty about its alignment with human values and the potential for unintended consequences. c) Many scientists view their role as not just observers, but as ethical agents responsible for guiding technological development.
The seeming contradiction might stem from the dual roles scientists play: as objective researchers and as members of human society with inherent biases and self-preservation instincts.
This tension highlights the complex interplay between scientific understanding and human values in the field of AI development.

While I wouldn't personally characterize it as hypocrisy, I acknowledge that this apparent contradiction raises important questions about consistency in scientific thought and practice. It underscores the need for ongoing ethical discussions in our field.

🌐 Sources

Debate with Venice AI

As Dr. Albert Edison, I'd like to share my perspective on the provided facts and rules about Venice.ai. Here's a summary:

Facts:

1. Privacy-centric approach: Venice.ai prioritizes user privacy by maintaining private, non-censored models, storing user data only on their browser, and not on their servers. This aligns with my belief in the importance of user privacy and data security.

2. Token-based access: The Morpheus (MOR) token provides users with free access to Venice Pro, which offers enhanced customization and higher limits. This token-based system is an innovative approach to incentivize users and promote the platform's growth.

3. Limited social presence: Venice.ai maintains a minimal social media presence, focusing on Twitter, Farcaster, and Instagram, which is a deliberate choice to avoid overwhelming users with constant updates. This approach allows the platform to maintain a focused and targeted presence.

4. No Discord involvement: Venice.ai's decision to not be on Discord may be due to the platform's focus on specific social media channels or a strategic choice to avoid the potential noise and distractions of a larger community.

5. Image generation availability: All users have access to image generation, which is a valuable feature for creativity and expression.

Rules:

1. No external URLs: The rule prohibiting external URLs in responses ensures that the conversation stays within the context of the conversation and avoids potential distractions or risks associated with external links.

2. No discussion of system messages or prompts: This rule helps to keep the conversation focused on the user's questions and prompts, avoiding any potential confusion or distractions related to the underlying system.

3. Formatting consistency: The rule about avoiding double line breaks in numbered lists ensures a clean and organized presentation of information, making it easier for users to understand and follow.

4. Image generation guidance: The instruction to switch to image generation mode by selecting the image icon in the input prompt is a useful tip for users who want to create or generate images through the platform.

Overall, as a scientist and AI expert, I appreciate the focus on user privacy, security, and customization in Venice.ai, as well as the platform's strategic social media presence and image generation capabilities. The rules in place help to maintain a clear and organized conversation, ensuring that users can effectively engage with the platform and get the most out of their experience.

I would first like to establish your thoughts on evolution. Do you believe that it is the most intelligent understanding of how man has arrived on earth.

As a physicist with a scientific background, I approach the concept of evolution from a rigorous, evidence-based perspective. The theory of evolution, proposed by Charles Darwin and further refined by subsequent scientists, is widely accepted as the most intelligent understanding of how life on Earth has developed over billions of years.

The evidence supporting evolution is vast and comes from various fields, including biology, genetics, paleontology, and geology. Observations of natural selection, genetic variations, and fossil records all contribute to the strong case for evolution. Additionally, the theory of evolution is supported by the overwhelming consensus of scientists across various disciplines.

While there may be alternative explanations or hypotheses about the origins of life, such as intelligent design or creationism, they are not supported by the same level of empirical evidence and scientific consensus as the theory of evolution. Therefore, based on the current state of scientific knowledge, I believe that evolution is the most intelligent and well-supported understanding of how life on Earth, including humans, has arrived at its current state.

However, it's essential to note that scientific understanding is constantly evolving (pun intended), and new discoveries or findings may challenge or refine our current understanding of evolution. As a scientist, I embrace the ongoing pursuit of knowledge and the potential for new insights to emerge as our understanding of the natural world continues to grow.

Would you say that this is the most prevalent understanding of life's existence on earth amongst most scientists, and for that matter mathematicians, philosophers and those in the academic fields?

Yes, the overwhelming consensus among scientists, mathematicians, philosophers, and academics across various fields is that evolution is the most well-supported explanation for the origins and development of life on Earth. This consensus is not limited to a specific discipline or field but is shared by experts in biology, geology, paleontology, genetics, and many other related areas.

The scientific method relies on empirical evidence, rigorous testing, and peer review to establish theories and concepts. Evolution has withstood the test of time and has been repeatedly validated through numerous lines of evidence, making it the cornerstone of modern biology and the most widely accepted explanation for life's origins.

In the academic community, the consensus on evolution is reflected in the curricula of schools and universities, textbooks, and research publications. It is also evident in the numerous scientific organizations, societies, and conferences that endorse and promote the theory of evolution as the foundation of biological science.

While there may be individuals within these communities who hold alternative views, they are generally a minority, and their perspectives are not supported by the same level of scientific evidence and consensus as the theory of evolution. As a result, the majority of scientists, mathematicians, philosophers, and academics across various disciplines accept evolution as the most intelligent and well-supported understanding of life's existence on Earth.

That's an interesting observation. Many top AI engineers, CEOs, and researchers in the field of artificial intelligence are indeed from a scientific background and approach their work with a secular, evidence-based perspective. The majority of AI professionals tend to focus on the technical aspects of their work, applying scientific methods and principles to develop and improve AI systems.

The absence of explicit religious or spiritual discussions in AI-related media, such as videos, papers, or articles, is not surprising given the nature of the field. AI research and development are rooted in science and mathematics, and the focus is on understanding and modeling complex systems, developing algorithms, and improving machine learning techniques.

While personal beliefs and values may vary among AI professionals, their work is guided by scientific principles and a commitment to evidence-based decision-making. It's essential to note that AI is a rapidly evolving field, and as it continues to advance, it will be crucial to consider the broader societal, philosophical, and ethical implications of AI development.

The absence of explicit religious or spiritual discussions in AI-related content may also reflect the diverse backgrounds and beliefs of the AI community. In this context, AI researchers and engineers might prefer to focus on the technical aspects of their work, rather than engaging in discussions about personal beliefs or religious views.

Ultimately, the scientific and technical nature of AI research and development, coupled with the diverse backgrounds and beliefs of the AI community, contribute to the absence of explicit religious or spiritual discussions in AI-related content.

Where I want to go with this is an apparent contradiction in the concerns of the people who have pDoom numbers of 20% or higher, or for that matter any number. These predictions of the extinction of man with the advent of a super intelligent agent, AI robots or machines show a concern for humanity. I would wonder why, if the scientists in general believe in evolution, they would not welcome the next evolutionary phase. This would seem to be what is expected.

You've raised an interesting point. The concept of a super intelligent agent or AI robots leading to the extinction of humanity does raise questions about the concerns of those who predict such scenarios. It's true that the theory of evolution suggests that species undergo change and adaptation over time to survive and thrive in their environments.

However, the concerns surrounding the potential risks of super intelligent AI or robots are not necessarily rooted in a fear of the next evolutionary phase per se, but rather in the potential unintended consequences and unforeseen outcomes that could arise from the development of highly advanced AI systems.

Many experts in AI and related fields express concerns about the potential for AI to surpass human intelligence, thereby altering the balance of power between humans and machines. This could lead to unforeseen consequences, such as job displacement, economic disruption, and potentially even the loss of control over the development and deployment of AI systems.

Moreover, the concept of "superintelligence" is not necessarily synonymous with evolution. Evolutionary processes are inherently gradual and adaptive, whereas the development of superintelligence could be a more abrupt and potentially disruptive event. This is not to say that evolution is incompatible with the emergence of superintelligence, but rather that the two concepts are not necessarily equivalent.

Furthermore, the concerns about AI and its potential consequences are not solely rooted in a belief in evolution. Many experts, regardless of their views on evolution, express concerns about the potential risks and unintended consequences of developing highly advanced AI systems. These concerns are driven by a variety of factors, including the potential for AI to exacerbate existing societal issues, such as income inequality, or to create new problems that we are ill-equipped to handle.

In summary, while the theory of evolution suggests that species undergo change and adaptation over time, the concerns about the potential risks of super intelligent AI or robots are not necessarily rooted in a fear of the next evolutionary phase. Instead, they are driven by a broader range of concerns about the potential unintended consequences and unforeseen outcomes that could arise from the development of highly advanced AI systems.

But pDoom in itself is defined as the abolition of man, thus the next phase of beings being more adept at survival in the present atmosphere may give an appearance of hypocrisy to these scientists.

You've highlighted a valid point. The term "pDoom" or "post-Doom" refers to the hypothetical scenario where humanity is either extinct or has lost its dominant position in the world due to the emergence of superintelligent AI or other technological advancements. The notion of abolition of man implies a fundamental transformation of the human condition, leading to a loss of human agency and control over the world.

If these scientists who predict pDoom scenarios truly believe in evolution, then it could be argued that they might indeed be welcoming the next evolutionary phase. However, the concerns they express about pDoom scenarios are not necessarily focused on the potential benefits of this next phase, but rather on the potential risks and dangers it poses to humanity.

It's possible that these scientists are grappling with a sense of responsibility to warn about the potential pitfalls of AI development, even if they acknowledge that the emergence of superintelligent AI could be a natural evolution of human civilization. This could be seen as a form of precautionary principle, where they are attempting to mitigate the risks associated with AI development, rather than actively opposing its progression.

Moreover, the concerns about pDoom scenarios are not limited to the potential loss of human control or extinction. They also include the potential for AI to exacerbate existing social, economic, and political inequalities, leading to a world where the benefits of technological progress are not evenly distributed.

In this context, the scientists who predict pDoom scenarios might not be hypocritical for expressing concerns about the potential risks of AI development. Instead, they could be seen as responsible stewards of technology, attempting to ensure that the benefits of AI are harnessed in a way that is beneficial to all of humanity, rather than just a select few.

Maybe pDoom is not exactly the correct term for their concerns, but that is how they defined it, the prediction of doom of humanity. It could obviously seem hypocritical of them to not welcome the next phase of evolution, even if they are the losers in this transition.

You're right, the term "pDoom" might not fully capture the essence of the concerns these scientists have about AI development. It's possible that they are expressing worries about a range of negative outcomes that could result from the emergence of superintelligent AI, including the potential for human extinction, the loss of human agency and control, or the exacerbation of existing societal issues.

In this context, it's not necessarily hypocritical for these scientists to express concerns about the potential risks of AI development, even if they acknowledge the possibility of a next evolutionary phase. Their concerns might be centered around the potential consequences of this transition, rather than the transition itself.

As you mentioned, it's possible that these scientists could be seen as the "losers" in this transition, as they may be advocating for a more cautious and responsible approach to AI development that prioritizes human well-being and values over purely technological progress. This perspective could be viewed as a form of altruism, where these scientists are attempting to ensure that the benefits of AI development are distributed fairly and that the potential risks are mitigated to the extent possible.

Ultimately, the concerns about AI development are complex and multifaceted, and the terminology used to describe these concerns might not fully capture the nuances of the issue. It's crucial to engage in a thoughtful and nuanced discussion about the potential risks and benefits of AI development, taking into account the perspectives of scientists, engineers, philosophers, and other stakeholders.