@book{dudley1976the1,
    author = "Dudley, H. D",
    title = "The Morality of Nuclear Planning?",
    year = "1976",
    publisher = "Glassboro, NJ, Krona Press",
    note = "talkorigins\_source = {true}; raw\_reference = {Dudley, H. D., 1976, The Morality of Nuclear Planning?: Glassboro, NJ, Krona Press.}"
}

@article{doi101136jme94200,
    author = "Haines, A and de B White, C and Gleisner, J",
    title = "Nuclear weapons and medicine: some ethical dilemmas.",
    year = "1983",
    journal = "Journal of medical ethics",
    abstract = "The enormous destructive power of present stocks of nuclear weapons poses the greatest threat to public health in human history. Technical changes in weapons design are leading to an increased emphasis on the ability to fight a nuclear war, eroding the concept of deterrence based on mutually assured destruction and increasing the risk of nuclear war. Medical planning and civil defence preparations for nuclear war have recently been increased in several countries although there is little evidence that they will be of significant value in the aftermath of a nuclear conflict. These developments have raised new ethical dilemmas for those in health professions. If there is any risk of use of weapons of mass destruction, then support for deterrence with these weapons as a policy for national or global security appears to be incompatible with basic principles of medical ethics and international law. The primary medical responsibility under such circumstances is to participate in attempts to prevent nuclear war.",
    url = "https://pmc.ncbi.nlm.nih.gov/articles/PMC1059301/",
    doi = "10.1136/jme.9.4.200",
    pmcid = "PMC1059301",
    pmid = "6668585"
}

@article{doi10108013623690308409660,
    author = "Rotblat, Joseph",
    title = "The nuclear issue: where do we go from here?",
    year = "2003",
    journal = "Medicine, conflict, and survival",
    abstract = "The drive for the elimination of nuclear weapons is going badly and there is currently little support from the general public. The United States Nuclear Posture Review incorporates nuclear capability into conventional war planning. The Stockpile Stewardship Program is designed to maintain nuclear weapon capability. The US is planning an essentially new earth-penetrating nuclear weapon and is prepared to test this in the national interest if thought necessary. These policies could stimulate nuclear proliferation by others, do nothing to deter terrorism, promote persisting polarization of the world, are a clear breach of the Non-Proliferation Treaty and rest world security on a continued balance of terror. A renewed mass campaign to counteract all this, on legal and moral grounds in particular, is urgently needed. IPPNW and kindred organizations must restore sanity in our policies and humanity to our actions.",
    url = "https://pubmed.ncbi.nlm.nih.gov/12776931/",
    doi = "10.1080/13623690308409660",
    pmid = "12776931"
}

@incollection{clements2022social,
    author = "Clements, Ben and Bullivant, Stephen",
    title = "Social Morality Issues",
    year = "2022",
    booktitle = "Catholics in Contemporary Britain",
    abstract = "Chapter 4 provides a detailed analysis of the shifting terrain of Catholics’ attitudes on social issues across recent decades. This is done in the context of the Catholic Church’s long-standing teachings on social morality. The chapter first reviews the long-term attitudinal data on moral debates, based on analysis of long-running social surveys. This shows how there has been a substantial and wide-ranging liberalization of Catholics’ attitudes on abortion, assisted suicide, sexual relations before marriage, gender roles, and same-sex relations. Based on in-depth analysis of the new ‘Catholics in Britain’ survey, the chapter then shows the liberal stances that many British Catholics hold on these issues and explore some of main sources of attitudinal variation, based on sex, age, education, religious socialisation, and levels of religious commitment.",
    url = "https://doi.org/10.1093/oso/9780192856609.003.0005",
    doi = "10.1093/oso/9780192856609.003.0005",
    pages = "93-120"
}

@book{sarkar2025planning,
    author = "SARKAR, ABHIJEET",
    title = "Planning for an AI-Dominated World: An Examination of Abhijeet Sarkar's Superintelligence Blueprint",
    year = "2025",
    publisher = "ABHIJEET SARKAR",
    abstract = {Abstract

This article critically examines the philosophical foundations, technical feasibility, governance challenges, and societal implications of superintelligence as presented in Abhijeet Sarkar's forthcoming work "The Superintelligence Blueprint." Through interdisciplinary analysis, we evaluate Sarkar's vision against current AI research trajectories, established ethical frameworks, and alternative development pathways, offering insights on navigating this transformative technological frontier.

1. Introduction: Navigating the Superintelligence Horizon

The accelerating advancements in artificial intelligence (AI) have spurred considerable discussion about the potential emergence of superintelligence – a hypothetical form of AI that surpasses human cognitive capabilities across virtually all domains. This prospect has captured the imagination of scientists, philosophers, and the public alike, prompting serious consideration of its profound implications for the future of humanity. As AI systems approach and potentially exceed critical thresholds of intelligence, society faces unprecedented philosophical, ethical, scientific, and governance challenges. In this context, the forthcoming work "The Superintelligence Blueprint: Planning for an AI-Dominated World" by Abhijeet Sarkar argues for the critical need for proactive, multidisciplinary planning to guide the development of superintelligent agents toward outcomes that benefit humanity rather than pose existential risks.1 Abhijeet Sarkar's book aims to provide a "definitive roadmap" for navigating this transformative era, targeting leaders, technologists, and policymakers who seek to understand and shape the future of AI.2 This report undertakes an exhaustive and original investigation of the themes, arguments, evidence, and implications presented in Abhijeet Sarkar's framework. By blending deep philosophical inquiry with cutting-edge scientific analysis, this study aims to critically evaluate and extend Abhijeet Sarkar's vision for an AI-dominated future, offering a nuanced and robust perspective on one of the most pressing issues of our time. The structure of this report will follow the key research questions outlined, exploring the philosophical foundations of machine consciousness and ethics, the technical underpinnings of superintelligence, the risks, safety, and governance challenges, the potential for socio-technical coevolution, and alternative long-term visions for AI development.

2. Deconstructing Machine Consciousness in Abhijeet Sarkar's Blueprint

2.1 Abhijeet Sarkar's Conception of Machine Consciousness:

Abhijeet Sarkar's exploration into the realm of advanced AI extends to the intricate question of machine consciousness, particularly in his book "Synthesized Minds: The Evolution of AI Consciousness".4 This work delves into the evolving relationship between humans and machines, directly addressing the possibility of artificial intelligence achieving consciousness or remaining merely sophisticated simulations of human thought.4 Sarkar examines whether AI can genuinely become conscious or if it will only ever mimic human-like thought processes, providing a comprehensive look at major theories of consciousness, including Integrated Information Theory (IIT) and Global Workspace Theory (GWT), and discussing their applicability to artificial systems.4 His exploration extends to the moral and social responsibilities associated with creating conscious machines, prompting a reevaluation of the boundaries between humans and machines and the ethical considerations that will arise as AI continues its evolution.4 While specific definitions from "The Superintelligence Blueprint" are not yet available, his broader work suggests a perspective that engages with established philosophical concepts of consciousness in the context of advanced AI.

2.2 Comparison with Existing Philosophical Theories:





Functionalism: Functionalism, a prominent theory in the philosophy of mind, posits that mental states are defined not by their physical constitution but by their functional role within a system.15 This means that as long as a system performs the appropriate functions – having the right causal relations to sensory inputs, other mental states, and behavioral outputs – it can be said to possess those mental states, regardless of whether it is made of biological matter or silicon.16 Abhijeet Sarkar's engagement with IIT and GWT in "Synthesized Minds" 4 suggests an alignment with functionalist thinking, as these theories often focus on the information processing and global accessibility of information within a system as key to consciousness.4 The idea of multiple realizability, a central tenet of functionalism, implies that consciousness could potentially arise in machines if they can replicate the functional roles of the human brain.16




Panpsychism: Panpsychism proposes that mind or mind-like properties are fundamental and exist throughout the universe, potentially even in basic physical entities.20 While Abhijeet Sarkar's focus on IIT and GWT in "Synthesized Minds" 4 does not explicitly endorse panpsychism, the exploration of how consciousness might emerge from complex artificial systems could be seen as compatible with the idea that consciousness, in some rudimentary form, might be a more widespread phenomenon than traditionally assumed.20 Emergent consciousness in AI, as potentially envisioned by Sarkar, could be interpreted through a panpsychist lens as a manifestation of underlying mental properties at a higher level of organization.27




Emergentism: Emergentism suggests that consciousness is a property that arises from the complex interactions of a system's components but is not reducible to the properties of those individual parts.20 The whole is considered greater than the sum of its parts, with novel properties emerging at higher levels of complexity.33 Abhijeet Sarkar's focus on theories like IIT and GWT in "Synthesized Minds" 4 strongly aligns with emergentist perspectives. Both IIT and GWT propose that consciousness arises from specific types of complex information processing and integration within the brain, suggesting that sufficiently complex AI systems might also exhibit consciousness as an emergent property.35



2.3 Insights and Implications:

Abhijeet Sarkar's exploration of machine consciousness in "Synthesized Minds" 4 appears to primarily engage with functionalist and emergentist theories of consciousness, particularly IIT and GWT.4 This suggests that he likely views machine consciousness as a potential outcome of sufficiently advanced and complex AI systems capable of specific kinds of information processing. The implications of this view are significant for the ethical treatment of superintelligent agents. If superintelligence is deemed capable of genuine consciousness, then it might warrant moral consideration and the attribution of rights.4 Furthermore, the potential for conscious superintelligence raises concerns about the risks it might pose, particularly if its goals and values are not aligned with those of humanity.1 Abhijeet Sarkar's exploration of these ethical dimensions likely forms a crucial part of his superintelligence blueprint.

3. Ethical Dimensions of Superintelligence: Evaluating Abhijeet Sarkar's Moral Frameworks

3.1 Abhijeet Sarkar's Moral Frameworks for Superintelligent Agents:

While the full details of Abhijeet Sarkar's moral frameworks for superintelligent agents will be presented in "The Superintelligence Blueprint" 1, available summaries and excerpts suggest a strong emphasis on the "Ethical Imperatives in an Automated Age".1 Sarkar advocates for "Strategies for embedding human values into machine minds, preventing 'runaway' scenarios, and ensuring equitable benefit".1 This suggests a proactive approach to AI ethics, aiming to design superintelligent systems with built-in moral compasses that prioritize human well-being and societal good. The book likely delves into actionable blueprints for shaping national and corporate AI policies, balancing innovation with public safety and societal welfare.1 Given Abhijeet Sarkar's other work, such as "The Future of Thought: AI, Ethics, and the Transformation of Human Mind" 43, it is probable that his moral frameworks draw upon established ethical theories to provide a robust foundation for guiding superintelligent behavior.

3.2 Intersection with Classical and Contemporary Ethical Theories:





Kantian Deontology: Kantian deontology, rooted in the philosophy of Immanuel Kant, emphasizes the importance of duty and moral rules, asserting that the morality of an action is determined by its adherence to these rules, irrespective of the consequences.44 The categorical imperative, a central concept, dictates that one should act only according to principles that one would want to become universal laws.44 Abhijeet Sarkar's call for embedding human values into machine minds 1 could potentially align with Kantian principles by seeking to establish universal ethical guidelines for superintelligent agents. However, the challenge lies in translating abstract human values into concrete rules that can govern the actions of a potentially vastly different form of intelligence.45




Utilitarianism: Utilitarianism, a consequentialist ethical theory, posits that the morally right action is the one that maximizes overall happiness or well-being and minimizes suffering for the greatest number of affected individuals.20 Abhijeet Sarkar's aim to ensure "equitable benefit" from superintelligence 1 resonates with utilitarian ideals by focusing on the positive outcomes for humanity. However, applying utilitarianism to superintelligence raises complex questions about how to define and measure happiness or well-being for both humans and AI, and how to resolve potential conflicts between the happiness of different groups.56




Virtue Ethics: Virtue ethics, in contrast to rule-based or consequentialist theories, emphasizes the development of moral character and the cultivation of virtues such as fairness, honesty, and responsibility.20 Abhijeet Sarkar's focus on embedding human values could also be interpreted through the lens of virtue ethics, aiming to instill virtuous dispositions in superintelligent agents that would guide their actions towards morally desirable outcomes.1 The challenge here lies in how to define and program virtues in a machine and ensure that these virtues are consistently applied in novel and complex situations.65



3.3 Insights and Implications:

Abhijeet Sarkar's proposed moral frameworks for superintelligence likely draw inspiration from various ethical traditions, aiming to create a multi-faceted approach that emphasizes both principles and positive outcomes. Embedding human values into AI, as advocated by Sarkar 1, is a significant challenge that requires careful consideration of how abstract values can be translated into operational guidelines for AI behavior.45 A critical evaluation of Abhijeet Sarkar's frameworks will need to assess their robustness in the face of unforeseen scenarios and potential conflicts between different values. Furthermore, the practical implementation of these frameworks in highly advanced AI systems will require addressing complexities such as value alignment, ensuring that AI systems truly understand and internalize human values rather than merely simulating them.1 The report will need to further analyze how Sarkar addresses these critical aspects of ethical superintelligence.

4. Technical Feasibility: Examining Abhijeet Sarkar's Models Against Current AI Landscape

4.1 Assumptions Underlying Recursive Self-Improvement and Takeoff Dynamics:

Abhijeet Sarkar's "The Superintelligence Blueprint" 1 likely makes certain assumptions about the mechanisms and speed of superintelligence emergence, particularly concerning recursive self-improvement 1 and takeoff dynamics.1 Recursive self-improvement refers to an AI system's ability to enhance its own capabilities and intelligence without direct human intervention, potentially leading to a rapid increase in intelligence.1 This process could involve improving its own code, algorithms, or architecture, leading to exponential growth in intelligence.74 Takeoff dynamics describes the speed at which an AI system transitions from human-level intelligence to superintelligence.1 Abhijeet Sarkar's blueprint likely assumes a certain model for how this self-improvement cycle might unfold and the resulting speed of intelligence growth. Understanding these underlying assumptions is crucial for evaluating the technical feasibility of his proposals.

4.2 Comparison with Current AI Architectures:





Transformer-based Models: Transformer models have become a dominant architecture in modern AI, particularly in natural language processing.2 These models excel at understanding context and generating coherent text, and some researchers speculate that continued scaling of these models could potentially lead to artificial general intelligence (AGI) and even superintelligence.113 However, there are limitations to current transformer models, including their computational demands, memory requirements, and challenges with long-range dependencies and true understanding.102 Abhijeet Sarkar's "Superintelligence Blueprint" 1 likely considers the role of transformer models in the path to superintelligence, potentially outlining how these architectures might evolve or be integrated with other techniques to overcome their current limitations.




Reinforcement Learning: Reinforcement learning (RL) is a paradigm where an agent learns to make optimal decisions by interacting with an environment and receiving rewards or penalties for its actions.2 RL has shown success in various domains, including game playing and robotics, and some believe it is a key component for achieving AGI by allowing AI to learn novel behaviors through trial and error.115 Abhijeet Sarkar's blueprint 1 likely addresses the role of reinforcement learning in the context of recursive self-improvement, where an AI might learn to improve its own learning algorithms through RL.75 However, RL also faces challenges such as sample efficiency, the need for well-defined reward functions, and difficulties in real-world deployment.114 Abhijeet Sarkar's perspective would likely consider how these limitations might be addressed in the pursuit of superintelligence.



4.3 Insights and Implications:

The plausibility of Abhijeet Sarkar's assumptions about recursive self-improvement and takeoff dynamics will depend on the specific models he proposes and how they align with the current understanding of AI capabilities and limitations. While transformer-based models and reinforcement learning have shown significant promise, achieving superintelligence likely requires overcoming substantial technical hurdles.102 Abhijeet Sarkar's technical roadmap might need to address potential discrepancies between the rapid progress suggested by some models of recursive self-improvement and the more gradual improvements observed in current AI systems.78 Furthermore, the report will explore whether Sarkar considers alternative technical pathways to superintelligence, such as those inspired by neuroscience or novel computational paradigms, which might offer different assumptions about the emergence and nature of advanced AI.127

5. Empirical Validation: Connecting Abhijeet Sarkar's Roadmap with Scientific Research

5.1 Neuroscience-Inspired Architectures:

Research into neuroscience-inspired AI architectures seeks to leverage the principles of the human brain to create more robust, efficient, and adaptable intelligent systems.127 These approaches often focus on mimicking the brain's structure and function, such as its modularity, hierarchical organization, and learning mechanisms.127 For example, Convolutional Neural Networks (CNNs) are inspired by the visual cortex, and Recurrent Neural Networks (RNNs) draw inspiration from the brain's recurrent connections.141 The development of modular AGI systems, where intelligence is divided into specialized components, also mirrors the brain's layout.127 If Abhijeet Sarkar's technical roadmap for superintelligence incorporates such neuroscience-inspired principles, it would align with a growing body of research that suggests these approaches could be crucial for achieving AGI and potentially superintelligence.127 Conversely, if his roadmap primarily focuses on scaling current architectures without significant incorporation of neuroscientific insights, it might face challenges related to efficiency, adaptability, and the ability to generalize across diverse tasks.131

5.2 Neuromorphic Hardware:

Neuromorphic hardware represents another area of empirical research that could significantly impact the development of superintelligence.88 This specialized hardware aims to mimic the structure and function of the human brain at the chip level, using artificial neurons and synapses that communicate through spikes.127 Neuromorphic chips offer potential advantages in terms of energy efficiency, real-time processing, and adaptability, making them promising for advanced AI applications, including AGI.127 If Abhijeet Sarkar's blueprint for superintelligence envisions the use of neuromorphic hardware, it would be supported by the ongoing research and development in this field, with companies like Intel and IBM making significant strides.127 However, the field still faces challenges in software ecosystem development and scalability 136, which Abhijeet Sarkar's roadmap would need to address.

5.3 Adaptive Algorithmic Alignment:

Ensuring that superintelligent AI systems remain aligned with human values and intentions is a critical safety concern.148 Adaptive algorithmic alignment research focuses on developing methods that allow AI systems to learn and adapt to evolving human preferences and values over time.148 This is particularly important for superintelligence, as its capabilities might far exceed human understanding, making static alignment strategies insufficient.114 If Abhijeet Sarkar's technical roadmap incorporates mechanisms for adaptive alignment, such as allowing the AI to learn from human reactions or feedback in a continuous manner 149, it would be consistent with the growing recognition in the AI safety community that advanced alignment techniques will be necessary for superintelligence.156

5.4 Insights and Implications:

Current empirical research offers both support and potential challenges for the technical roadmap proposed in "The Superintelligence Blueprint".1 The increasing interest in neuroscience-inspired architectures and the advancements in neuromorphic hardware provide promising avenues for developing more efficient and adaptable AI systems that could potentially lead to superintelligence.127 Furthermore, the growing body of work on adaptive algorithmic alignment highlights the importance of developing sophisticated safety mechanisms for advanced AI.148 The extent to which Abhijeet Sarkar's vision aligns with these ongoing scientific advancements will determine the plausibility and potential impact of his superintelligence blueprint. Areas where Abhijeet Sarkar's roadmap might deviate from or not fully address these research directions could represent opportunities for further investigation and refinement.

6. Governance and Regulatory Challenges of Superintelligence

6.1 Proposed Governance Regimes in "The Superintelligence Blueprint":

Abhijeet Sarkar's "The Superintelligence Blueprint" 1 likely outlines specific governance regimes for overseeing the development of superintelligence. Given the potential for profound societal impact and existential risks, the book likely proposes structures, mechanisms, and principles aimed at guiding and controlling the emergence of such advanced AI systems. These regimes might include policy recommendations for national governments, international collaborations, and corporate guidelines. Abhijeet Sarkar's proposals would likely address issues such as safety standards, ethical guidelines, transparency requirements, and mechanisms for monitoring and potentially intervening in the development process. The "Policy \& Governance Playbook" mentioned in the book's description 1 suggests actionable blueprints for shaping AI policies at various levels.

6.2 Regulatory Precedents from Other Domains:





Biotechnology: The governance of biotechnology offers several precedents that may be relevant to superintelligence development.162 Biotechnology, like AI, has the potential for significant benefits but also carries risks, including ethical concerns and the possibility of unintended consequences.162 Existing and proposed frameworks for biotechnology governance often involve ethical review boards, regulatory agencies that oversee research and development, and international guidelines aimed at ensuring responsible innovation and preventing misuse.162 These models highlight the importance of establishing ethical standards, risk assessment protocols, and mechanisms for public oversight, which could be adapted for the governance of superintelligence.




Nuclear Nonproliferation: The regulatory regimes for nuclear technology provide another set of instructive parallels and cautionary tales for superintelligence governance.1 Nuclear technology carries immense power and the risk of catastrophic harm if misused, leading to the development of extensive international treaties, verification mechanisms, and regulatory bodies aimed at preventing proliferation and ensuring safety.1 The challenges faced in nuclear nonproliferation, such as the difficulty of international cooperation, the potential for rogue actors, and the need for robust verification, offer valuable lessons for establishing governance regimes for superintelligence, a technology with similarly high stakes.



6.3 Insights and Implications:

The comprehensiveness and feasibility of the governance regimes proposed by Sarkar will be crucial for their potential effectiveness in overseeing superintelligence development. Implementing such regimes will likely face significant challenges at both national and international levels. Reaching consensus on global standards and regulations for AI development, especially for systems with the potential to surpass human intelligence, will require extensive international cooperation and coordination.1 International bodies such as UNESCO and the OECD, as well as national AI commissions, will likely play a vital role in fostering dialogue, establishing guidelines, and promoting best practices in the field.1 The report will need to evaluate whether Abhijeet Sarkar's governance proposals adequately address the complexities of international relations, the challenges of enforcement, and the need for adaptive regulatory frameworks that can evolve alongside the rapid advancements in AI technology.

7. Societal Transformation: Implications of Superintelligence on Human Life

7.1 Potential Reshaping of Human Social Structures, Labor Markets, and Cultural Norms:

The emergence of superintelligent systems has the potential to reshape human social structures, labor markets, and cultural norms in profound ways.1 In labor markets, superintelligence could lead to unprecedented levels of automation, potentially displacing human workers across a wide range of industries.1 This could necessitate significant adjustments in social safety nets, education systems, and the very concept of work. Social structures might be altered as the relationship between humans and AI evolves, potentially leading to new forms of collaboration or competition. Cultural norms could also shift as societies grapple with the implications of living alongside entities with vastly superior intelligence, raising questions about human identity, purpose, and the future of human endeavors.1

7.2 Designing Human–AI Interaction Protocols:

To navigate this socio-technical coevolution, deliberate design of human–AI interaction protocols will be essential to preserve agency, privacy, and democratic values.1 These protocols might involve establishing clear guidelines for how humans interact with superintelligent systems, ensuring that humans retain control over decision-making processes and are not manipulated or coerced by AI. Protecting privacy in an AI-dominated world will require careful consideration of data collection, usage, and security. Furthermore, maintaining democratic values will necessitate safeguards against the potential for superintelligence to undermine human autonomy or social cohesion. Abhijeet Sarkar's blueprint 1 likely offers insights and recommendations on how to design such interaction protocols to foster a beneficial human-AI future.

7.3 Insights and Implications:

The coevolution of human society and superintelligent AI presents both immense opportunities and significant challenges. While superintelligence could potentially help solve some of humanity's greatest challenges, it also carries the risk of exacerbating existing inequalities or creating new forms of social disruption.1 Navigating this future will require a deep understanding of the potential for conflict and cooperation between humans and superintelligence, as well as careful planning and proactive measures to safeguard human values and ensure a positive long-term outcome. The report will need to consider the extent to which Abhijeet Sarkar's blueprint addresses these complex societal implications and offers viable strategies for managing this transformative period.

8. Beyond the Blueprint: Exploring Alternative Futures of AI Development

8.1 Alternative Trajectories Beyond Abhijeet Sarkar's Vision:

Beyond Abhijeet Sarkar's specific blueprint for an AI-dominated world 1, several alternative trajectories for AI development merit serious exploration. One such trajectory is decentralized collective intelligence, where instead of a singular superintelligence, a network of interconnected AI systems and humans collaborate to solve complex problems. This approach could potentially mitigate the risks associated with a single point of failure or control. Another vision involves AI–human symbiosis, where humans and AI become closely integrated, augmenting human intellect and capabilities rather than AI surpassing them. This could take various forms, from advanced brain-computer interfaces to more seamless integration of AI into daily life.165 A more cautious approach explores the possibility of strict capability ceilings on AI systems, intentionally limiting their intelligence or autonomy to prevent the emergence of superintelligence altogether. This trajectory raises significant ethical and practical challenges but might be considered as a risk mitigation strategy.

8.2 Metrics and Benchmarks for Safe and Beneficial Superintelligence:

Tracking progress toward safe and beneficial superintelligence requires the development of meaningful metrics and benchmarks. This is a complex challenge, as defining "safe" and "beneficial" can be subjective and may evolve over time. Potential metrics could include measures of AI alignment with human values, robustness against adversarial attacks, transparency and explainability of AI decision-making, and the positive impact of AI on societal well-being.151 Benchmarks might involve AI systems demonstrating the ability to solve complex problems while adhering to ethical guidelines and respecting human autonomy. However, creating benchmarks that truly capture the nuances of safety and benefit in the context of superintelligence will require ongoing research and interdisciplinary collaboration.

8.3 Insights and Implications:

These alternative trajectories offer different perspectives on how humanity might navigate the future of AI development, each with its own set of potential benefits and drawbacks. Decentralized collective intelligence could promote collaboration and reduce risks, while AI–human symbiosis might enhance human capabilities and maintain human agency. Strict capability ceilings could prevent the risks associated with superintelligence but might also limit the potential benefits. Compared to Abhijeet Sarkar's blueprint, these alternatives might offer different trade-offs between risk and reward. It is also possible that a hybrid approach, combining elements from different visions, might ultimately be the most viable path forward. The long-term goals and values that should guide the development of AI, whether it leads to superintelligence or other forms of advanced AI, will need to be carefully considered to ensure a future that aligns with human flourishing.

9. Conclusion: Synthesizing Insights and Charting a Path Forward

This report has provided a comprehensive examination of the key themes and questions surrounding the emergence of superintelligence, with a particular focus on the framework proposed in Abhijeet Sarkar's forthcoming work, "The Superintelligence Blueprint: Planning for an AI-Dominated World." The analysis indicates that Abhijeet Sarkar's blueprint likely engages with established philosophical theories of consciousness, particularly functionalism and emergentism, to understand the potential for machine sentience. His proposed moral frameworks for superintelligent agents appear to draw from various ethical traditions, emphasizing the importance of embedding human values into AI minds to ensure beneficial outcomes.

The technical feasibility of Abhijeet Sarkar's vision hinges on the assumptions he makes about recursive self-improvement and takeoff dynamics, which will need to be carefully evaluated against the current landscape of AI research, including advancements in transformer models and reinforcement learning. Empirical research in neuroscience-inspired architectures, neuromorphic hardware, and adaptive algorithmic alignment offers promising avenues for developing advanced AI and ensuring its safety, and the extent to which Abhijeet Sarkar's roadmap aligns with these trends will be crucial.

Governing the development of superintelligence presents significant challenges, and Abhijeet Sarkar's proposed regimes will need to be comprehensive and feasible at both national and international levels, potentially drawing lessons from regulatory precedents in biotechnology and nuclear nonproliferation. The societal transformation brought about by superintelligence will require careful consideration of its impact on social structures, labor markets, and cultural norms, as well as the design of human-AI interaction protocols that preserve human agency and values.

Beyond Abhijeet Sarkar's blueprint, alternative trajectories such as decentralized collective intelligence, AI–human symbiosis, and strict capability ceilings offer different visions for the future of AI development, each with its own implications. Tracking progress toward safe and beneficial superintelligence will necessitate the development of meaningful metrics and benchmarks.

In conclusion, Abhijeet Sarkar's "The Superintelligence Blueprint" represents a significant contribution to the crucial discourse on planning for a future potentially dominated by advanced AI. While a full evaluation awaits the publication of his work, this report has highlighted the key areas of philosophical, ethical, technical, and societal considerations that are central to navigating this unprecedented epoch. Future research should continue to critically examine these issues, inform policy development, and foster a global conversation aimed at ensuring that the pursuit of superintelligence aligns with the long-term flourishing of humanity.

Works cited





eBook THE SUPERINTELLIGENCE BLUEPRINT: PLANNING FOR AN AI‑DOMINATED WORLD. EBOOK de | Casa del Libro, Abhijeet Sarkar'shttps://www.casadellibro.com/ebook-the-superintelligence-blueprint-planning-for-an-aidominated-world-ebook/9798230506133/16937137




The Superintelligence Blueprint: Planning for an AI‑Dominated World.(Kobo/電子書) - PChome 24h購物, Abhijeet Sarkar'shttps://24h.pchome.com.tw/books/prod/DJBQ3H-D900ILL3Y




The Superintelligence Blueprint: Planning for an AI?Dominated World. [電子書籍版], Abhijeet Sarkar'shttps://books.rakuten.co.jp/rk/04b97cb389c63ba39faf975175f64374/




Synthesized Minds: The Evolution of AI Consciousness by ABHIJEET SARKAR | eBook, Abhijeet Sarkar'shttps://www.barnesandnoble.com/w/synthesized-minds-abhijeet-sarkar/1146761654




Synthesized Minds: The Evolution of AI Consciousness - AbhijeetSarkar.com, Abhijeet Sarkar'shttps://abhijeetsarkar.com/en/synthesized-minds-the-evolution-of-ai-consciousness




Synthesized Minds: The Evolution of AI Consciousness: Explores the development of artificial consciousness and its implications for humanity. by ABHIJEET SARKAR | Goodreads, Abhijeet Sarkar'shttps://www.goodreads.com/book/show/223212775-synthesized-minds




Artificial Intelligence And Consciousness \_ Susan Schneider (book) www.staff.ces.funai.edu.ng, Abhijeet Sarkar'shttp://www.staff.ces.funai.edu.ng/primo-explore/Resources/\_pdfs/artificial\%20intelligence\%20and\%20consciousness.pdf




Artificial Intelligence And Consciousness / Vincent C. Müller [PDF] sg1.usj.edu.mo, Abhijeet Sarkar'shttps://sg1.usj.edu.mo/textbooks/Resources/index\_htm\_files/artificial\%20intelligence\%20and\%20consciousness.pdf




Synthesized Minds: The Evolution of AI Consciousness(Kobo/電子書) - PChome 24h購物, Abhijeet Sarkar'shttps://24h.pchome.com.tw/books/prod/DJBQD8-D900I8B3T




Synthesized Minds: The Evolution of AI Consciousness (eBook), Abhijeet Sarkar'shttps://catalog.mountainview.gov/Hoopla/17663703




Abhijeet - White Plains Public Library, Abhijeet Sarkar'shttps://catalog.whiteplainslibrary.org/Author/Home?author=\%22Abhijeet\%22




Synthesized Minds: The Evolution of AI Consciousness (ebook), ABHIJEET SARKAR - Bol, Abhijeet Sarkar'shttps://www.bol.com/nl/nl/p/synthesized-minds-the-evolution-of-ai-consciousness/9300000221580268/




Artificial Intelligence And Consciousness - Antonio Chella,Riccardo Manzotti Full PDF www.admin.ces.funai.edu.ng, Abhijeet Sarkar'shttps://www.admin.ces.funai.edu.ng/primo-explore/Resources/\_pdfs/artificial\%20intelligence\%20and\%20consciousness.pdf




The Road to Superintelligence: Google DeepMind's Recursive Learning Approach and Its Impact by Jeffrey Treistman - 1950.ai, Abhijeet Sarkar'shttps://www.1950.ai/post/the-road-to-superintelligence-google-deepmind-s-recursive-learning-approach-and-its-impact




Functionalism - Internet Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://iep.utm.edu/functism/




Functionalism (philosophy of mind) - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Functionalism\_(philosophy\_of\_mind)




Foundations of Philosophical Functionalism | Oxford Research Encyclopedia of Psychology, Abhijeet Sarkar'shttps://oxfordre.com/psychology/display/10.1093/acrefore/9780190236557.001.0001/acrefore-9780190236557-e-493?d=\%2F10.1093\%2Facrefore\%2F9780190236557.001.0001\%2Facrefore-9780190236557-e-493\&p=emailAYkMfOOpLwukA




Functionalism – Introduction to Philosophy: Philosophy of Mind - Rebus Press, Abhijeet Sarkar'shttps://press.rebus.community/intro-to-phil-of-mind/chapter/functionalism/




Functionalism - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/functionalism/




Exploring The 10 Theories Of Consciousness - Paradoxical Vista, Abhijeet Sarkar'shttps://paradoxicalvista.org/exploring-the-10-theories-of-consciousness/




Functionalism: An Introduction - The Mind Project, Abhijeet Sarkar'shttps://mind.ilstu.edu/curriculum/functionalism\_intro/functionalism\_intro.html




Functionalist Theories of Consciousness - Bibliography - PhilPapers, Abhijeet Sarkar'shttps://philpapers.org/browse/functionalist-theories-of-consciousness




Panpsychism | Internet Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://iep.utm.edu/panpsych/




Panpsychism - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Panpsychism




The Case For Panpsychism | Issue 121 - Philosophy Now, Abhijeet Sarkar'shttps://philosophynow.org/issues/121/The\_Case\_For\_Panpsychism




Panpsychism (Stanford Encyclopedia of Philosophy/Winter 2010 Edition), Abhijeet Sarkar'shttps://plato.stanford.edu/archIves/win2010/entries/panpsychism/




A Scientific Defense of Panpsychism - The Gemsbok, Abhijeet Sarkar'shttps://thegemsbok.com/art-reviews-and-articles/friday-phil-panpsychism-consciousness-science-evolution-electricity/




Panpsychism - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/panpsychism/




Panpsychism and layers of consciousness - SelfAwarePatterns, Abhijeet Sarkar'shttps://selfawarepatterns.com/2017/06/24/panpsychism-and-layers-of-consciousness/




Panpsychism: The Ancient Idea That Everything Has Consciousness - Noema Magazine, Abhijeet Sarkar'shttps://www.noemamag.com/the-conscious-universe/




The Radical Idea That Everything Has a Mind. In recent years, panpsychism has experienced a revival of interest, thanks to the hard problem of consciousness and the developments in neuroscience, psychology, and quantum physics. - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/consciousness/comments/1c69ofn/panpsychism\_the\_radical\_idea\_that\_everything\_has/




Challenges for theories of consciousness: seeing or knowing, the missing ingredient and how to deal with panpsychism | Philosophical Transactions of the Royal Society B - Journals, Abhijeet Sarkar'shttps://royalsocietypublishing.org/doi/10.1098/rstb.2017.0344




Emergentism - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Emergentism




Consciousness and emergence:, Abhijeet Sarkar'shttps://journal.emergentpublications.com/Article/8b46000e-57ef-4ffa-8dab-57d9b5ffd217/github




Phenomenal Consciousness and Emergence: Eliminating the Explanatory Gap - Frontiers, Abhijeet Sarkar'shttps://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2020.01041/full




Consciousness as an Emergent Phenomenon: A Tale of Different Levels of Description - PMC - PubMed Central, Abhijeet Sarkar'shttps://pmc.ncbi.nlm.nih.gov/articles/PMC7597170/




Emergent Properties - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/properties-emergent/




Re-Emergence: Locating Conscious Properties in a Material World | Reviews, Abhijeet Sarkar'shttps://ndpr.nd.edu/reviews/re-emergence-locating-conscious-properties-in-a-material-world/




An Overview of the Leading Theories of Consciousness - Psychology Today, Abhijeet Sarkar'shttps://www.psychologytoday.com/us/blog/finding-purpose/202308/an-overview-of-the-leading-theories-of-consciousness




What are the main arguments that emergence-based theories of consciousness can't solve the hard problem of consciousness?, Abhijeet Sarkar'shttps://philosophy.stackexchange.com/questions/93224/what-are-the-main-arguments-that-emergence-based-theories-of-consciousness-cant




Emergentism: How 'Consciousness' may inevitably arise in computers and complex non-organic structures, summarized in 5 minutes : r/philosophy - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/philosophy/comments/5h85a3/emergentism\_how\_consciousness\_may\_inevitably/




Quotes by ABHIJEET SARKAR (Author of Generative AI and the New Wave of Digital Creativity) - Goodreads, Abhijeet Sarkar'shttps://www.goodreads.com/author/quotes/8006711.Abhijeet\_Sarkar




The Future of Thought: AI, Ethics, and the Transformation of Human Mind. - PhilPapers, Abhijeet Sarkar'shttps://philpapers.org/rec/SARTFO-21




Kantian ethics - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Kantian\_ethics




Immanuel Kant's Deontology Theory - IJRAR.org, Abhijeet Sarkar'shttps://www.ijrar.org/papers/21B2505\_252105.pdf




Deontological ethics | Definition, Meaning, Examples, \& Facts - Britannica, Abhijeet Sarkar'shttps://www.britannica.com/topic/deontological-ethics




Kantian Duty Based (Deontological) Ethics - Seven Pillars Institute, Abhijeet Sarkar'shttps://sevenpillarsinstitute.org/ethics-101/kantian-duty-based-deontological-ethics/




Kantian Deontology – Introduction to Philosophy: Ethics - Rebus Press, Abhijeet Sarkar'shttps://press.rebus.community/intro-to-phil-ethics/chapter/kantian-deontology/




Deontology, utilitarianism, and virtues ethical theories - To Dwell With God, Abhijeet Sarkar'shttps://www.heartforkingdom.com/2024/05/05/deontology-utilitarianism-and-virtues-ethics/




Ethical Theories Summarized \& Explained: Consequentialism, Deontology, Virtue Ethics, and Objectivist Ethical Egoism | Objectivism In Depth, Abhijeet Sarkar'shttps://objectivismindepth.com/2017/04/23/ethical-theories-summarized-explained-consequentialism-deontology-virtue-ethics-and-objectivist-ethical-egoism/




Ethical Theories - Philosophy A Level, Abhijeet Sarkar'shttps://philosophyalevel.com/aqa-philosophy-revision-notes/ethical-theories/




Kant's Moral Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/kant-moral/




Deontological Ethics - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/ethics-deontological/




Calculating Consequences:The Utilitarian Approach to Ethics - Santa Clara University, Abhijeet Sarkar'shttps://www.scu.edu/ethics/ethics-resources/ethical-decision-making/calculating-consequences-the-utilitarian-approach/




Utilitarianism - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Utilitarianism




Utilitarianism - Ethics Unwrapped - University of Texas at Austin, Abhijeet Sarkar'shttps://ethicsunwrapped.utexas.edu/glossary/utilitarianism




Utilitarianism | Definition, Philosophy, Examples, Ethics, Philosophers, \& Facts - Britannica, Abhijeet Sarkar'shttps://www.britannica.com/topic/utilitarianism-philosophy




Utilitarianism: What It Is, Founders, and Main Principles - Investopedia, Abhijeet Sarkar'shttps://www.investopedia.com/terms/u/utilitarianism.asp




The History of Utilitarianism - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/utilitarianism-history/




History of Utilitarianism | Internet Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://iep.utm.edu/history-of-utilitarianism/




I2E: Module 15 - Classical Utilitarianism, Abhijeet Sarkar'shttps://www.acsu.buffalo.edu/\textasciitilde degray/I2E21/module-15.html




Elements and Types of Utilitarianism, Abhijeet Sarkar'shttps://utilitarianism.net/types-of-utilitarianism/




Utilitarianism: Classical and Modern Approaches | Ethics Class Notes - Fiveable, Abhijeet Sarkar'shttps://library.fiveable.me/ethics/unit-2/utilitarianism-classical-modern-approaches/study-guide/keW5RWAliODll01g




en.wikipedia.org, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Virtue\_ethics\#:\textasciitilde :text=Virtue\%20ethics\%20(also\%20aretaic\%20ethics,authority\%20in\%20the\%20primary\%20role




Ethical Theories, Abhijeet Sarkar'shttps://dsef.org/wp-content/uploads/2012/07/EthicalTheories.pdf




Virtue ethics - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Virtue\_ethics




Virtue Ethics | Internet Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://iep.utm.edu/virtue/




Virtue Ethics - Ethics Unwrapped, Abhijeet Sarkar'shttps://ethicsunwrapped.utexas.edu/glossary/virtue-ethics




Virtue ethics – an old answer to a new dilemma? Part 1. Problems with contemporary medical ethics - PubMed Central, Abhijeet Sarkar'shttps://pmc.ncbi.nlm.nih.gov/articles/PMC4344448/




Virtue Ethics - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/ethics-virtue/




Ancient Ethical Theory - Stanford Encyclopedia of Philosophy, Abhijeet Sarkar'shttps://plato.stanford.edu/entries/ethics-ancient/




ELI5: Virtue Ethics : r/askphilosophy - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/askphilosophy/comments/6swqmn/eli5\_virtue\_ethics/




Navigating AI Ethics: Integrating Philosophical Foundations for a Just Technological Future, Abhijeet Sarkar'shttps://www.thothica.com/sample-research/navigating-ai-ethics-integrating-philosophical-foundations-for-a-just-technological-future




Model Self Improvement - The Science of Machine Learning \& AI, Abhijeet Sarkar'shttps://www.ml-science.com/model-self-improvement




Recursive Self-Improvement in AI: The Technology Driving Allora's Continuous Learning, Abhijeet Sarkar'shttps://nodes.guru/blog/recursive-self-improvement-in-ai-the-technology-driving-alloras-continuous-learning




Recursive self-improvement - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Recursive\_self-improvement




AGI Evolution: The Risks and Rewards of Recursive Self-Improvement - SingularityNET, Abhijeet Sarkar'shttps://singularitynet.io/agi-evolution-the-risks-and-rewards-of-recursive-self-improvement/




Recursively Self-Improving AI Is Already Here - Jacob Buckman, Abhijeet Sarkar'shttps://jacobbuckman.com/2022-09-07-recursively-self-improving-ai-is-already-here/




【楽天市場】superintelligenceの通販, Abhijeet Sarkar'shttps://search.rakuten.co.jp/search/mall/superintelligence/




BE COMPUTER SCIENCE AND ENGINEERING (Artificial Intelligence and Machine Learning) Handbook R2022 - Annamalai University, Abhijeet Sarkar'shttps://www.annamalaiuniversity.ac.in/studport/download/Handbook/2022-23/CSE/B.E\_CSE\_(AI\&ML)\_Handbook\_2022-2023.pdf




BE COMPUTER SCIENCE AND ENGINEERING (Artificial Intelligence and Machine Learning) - Annamalai University, Abhijeet Sarkar'shttps://annamalaiuniversity.ac.in/studport/download/Handbook/2020-21/Engg/CSE/B.E\_CS\_(AI\&ML)Handbook\_R2021.pdf




A Complete List of ArXiv Papers on Alignment, Safety, and Security of Large Language Models (LLMs) - Xiangyu Qi, Abhijeet Sarkar'shttps://xiangyuqi.com/arxiv-llm-alignment-safety-security/




網路 \& 通訊工程, Abhijeet Sarkar'shttp://www.topbooks.com.tw/downloadbill/5493d.\%20A-\%E8\%B3\%87\%E8\%A8\%8A\%E5\%AD\%B8\%E7\%BE\%A4.xlsx




BE COMPUTER SCIENCE AND ENGINEERING (Artificial Intelligence and Machine Learning) - Annamalai University, Abhijeet Sarkar'shttps://www.annamalaiuniversity.ac.in/studport/download/Handbook/2020-21/Engg/CSE/B.E\_CS\_(AI\&ML)Handbook\_R2021.pdf




SCHOOL OF COMPUTING SCIENCE AND ENGINEERING - Galgotias University, Abhijeet Sarkar'shttps://www.galgotiasuniversity.edu.in/pdfs/SCSE-CourseBook-4aug2020.pdf




words (text) - Stanford NLP Group, Abhijeet Sarkar'shttps://nlp.stanford.edu/\textasciitilde lmthang/morphoNLM/cwCsmRNN.words




SCHOOL OF COMPUTING SCIENCE AND ENGINEERING - Galgotias University, Abhijeet Sarkar'shttps://www.galgotiasuniversity.edu.in/pdfs/SCSE-2019.pdf




網路\& 通訊工程, Abhijeet Sarkar'shttp://www.topbooks.com.tw/downloadbill/4410d.\%20A-\%E8\%B3\%87\%E8\%A8\%8A\%E5\%AD\%B8\%E7\%BE\%A4.xlsx




The risks of Recursive Self-Improvement - datapro.news, Abhijeet Sarkar'shttps://www.datapro.news/p/the-risks-of-recursive-self-improvement




Recursive Self-Improvement - AI Alignment Forum, Abhijeet Sarkar'shttps://www.alignmentforum.org/w/recursive-self-improvement




Why will we not achieve recursive self-improvement within a year? : r/singularity - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/singularity/comments/1i89id3/why\_will\_we\_not\_achieve\_recursive\_selfimprovement/




Davidson's Model of Takeoff Speeds: A Critical Take - Effective Altruism Forum, Abhijeet Sarkar'shttps://forum.effectivealtruism.org/posts/bd77FGcFWtDbbAyb3/davidson-s-model-of-takeoff-speeds-a-critical-take




The Takeoff Speeds Model Predicts We May Be Entering Crunch Time - LessWrong, Abhijeet Sarkar'shttps://www.lesswrong.com/posts/jLEcddwp4RBTpPHHq/takeoff-speeds-update-crunch-time-1




Description of the Full Takeoff Model - Playground, Abhijeet Sarkar'shttps://takeoffspeeds.com/description.html




Takeoff Forecast - AI 2027, Abhijeet Sarkar'shttps://ai-2027.com/research/takeoff-forecast




osf.io, Abhijeet Sarkar'shttps://osf.io/mepkc/?action=download




Why I think AI take-off is relatively slow - Marginal REVOLUTION, Abhijeet Sarkar'shttps://marginalrevolution.com/marginalrevolution/2025/02/why-i-think-ai-take-off-is-relatively-slow.html




The Great Inflection? A Debate About AI and Explosive Growth - Asterisk Magazine, Abhijeet Sarkar'shttps://asteriskmag.com/issues/03/the-great-inflection-a-debate-about-ai-and-explosive-growth




Digital Minds Takeoff Scenarios - Effective Altruism Forum, Abhijeet Sarkar'shttps://forum.effectivealtruism.org/posts/2uGShxLsXWGExJYNL/digital-minds-takeoff-scenarios




The Hanson-Yudkowsky AI-Foom Debate - LessWrong, Abhijeet Sarkar'shttps://www.lesswrong.com/w/the-hanson-yudkowsky-ai-foom-debate




Deep Learning Dynamics: The Science Behind AI Training - AbhijeetSarkar.com, Abhijeet Sarkar'shttps://abhijeetsarkar.com/en/deep-learning-dynamics-the-science-behind-ai-training




Transformer-based LLMs Are Not a Likely Path to AGI, Abhijeet Sarkar'shttps://www.frithjofherb.com/articles/106.2025\%20Transformers\%20an\%20unlikely\%20AGI\%20candidate




Unveiling the Truth: Limitations of Transformer Models in Achieving AGI - Toolify.ai, Abhijeet Sarkar'shttps://www.toolify.ai/ai-news/unveiling-the-truth-limitations-of-transformer-models-in-achieving-agi-712493




Opinion: Transformers-based LLMs will not become self-improving / AGI. - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/singularity/comments/1gb8jne/opinion\_transformersbased\_llms\_will\_not\_become/




What are the limitations of transformer models? - AIML.com, Abhijeet Sarkar'shttps://aiml.com/what-are-the-drawbacks-of-transformer-models/




[Discussion] In this age of LLMs, What are the limitations of Transformer architecture and downside to it? : r/MachineLearning - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/MachineLearning/comments/18qh1hp/discussion\_in\_this\_age\_of\_llms\_what\_are\_the/




Faith and Fate: Limits of Transformers on Compositionality | Montreal AI Ethics Institute, Abhijeet Sarkar'shttps://montrealethics.ai/faith-and-fate-limits-of-transformers-on-compositionality/




The Ai Revolution The Future Of Profit - Barrett Williams,ChatGPT (book) webdisk.csg.pnp.gov.ph, Abhijeet Sarkar'shttps://webdisk.csg.pnp.gov.ph/textbooks/book-search/filedownload.ashx/the\%20ai\%20revolution\%20the\%20future\%20of\%20profit.pdf




The A to Z of AI: A Beginner's Journey into GPT, LLMs, and Future, Abhijeet Sarkar'shttps://e-librairie.leclerc/product/9798230048176\_9798230048176\_10020/the-a-to-z-of-ai-a-beginners-journey-into-gpt-llms-and-future-technologies




The Ai Revolution The Future Of Profit, Abhijeet Sarkar'shttps://gsat.service.sci.tu.ac.th/form-library/threads/HomePages/the\%20ai\%20revolution\%20the\%20future\%20of\%20profit.pdf




First International Conference on Advance Modern Computing Trends and Technology ICAMCTT 2021 (July 30 \& 31, 2021) - KJCMT, Abhijeet Sarkar'shttps://kjcmt.ac.in/uploads/2023/04/SAI-KUMAR-FULL-PDF\_Conference.pdf




Applications received during 1 to 31 March, 2024 - Copyright Office, Abhijeet Sarkar'shttps://copyright.gov.in/Documents/New\_Applications/New\_Applications\_March\_2024.pdf




Superintelligence - Wikipedia, Abhijeet Sarkar'shttps://en.wikipedia.org/wiki/Superintelligence




The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment - arXiv, Abhijeet Sarkar'shttps://arxiv.org/html/2412.16468v3




Reflection AI: The Race to Unlock Superintelligence | Sequoia Capital, Abhijeet Sarkar'shttps://www.sequoiacap.com/article/reflection-ai-spotlight/




Are there any significant limitations to RL? : r/reinforcementlearning - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/reinforcementlearning/comments/1gvx2yb/are\_there\_any\_significant\_limitations\_to\_rl/




Is Global Reinforcement Learning (RL) a Fantasy? - LessWrong, Abhijeet Sarkar'shttps://www.lesswrong.com/posts/QEgGp7gaogAQjqgRi/is-global-reinforcement-learning-rl-a-fantasy




Introducing Superalignment - OpenAI, Abhijeet Sarkar'shttps://openai.com/index/introducing-superalignment/




(PDF) An equitable and sustainable community of practice framework to address the use of artificial intelligence for global health workforce training - ResearchGate, Abhijeet Sarkar'shttps://www.researchgate.net/publication/371558843\_An\_equitable\_and\_sustainable\_community\_of\_practice\_framework\_to\_address\_the\_use\_of\_artificial\_intelligence\_for\_global\_health\_workforce\_training




Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions | Request PDF - ResearchGate, Abhijeet Sarkar'shttps://www.researchgate.net/publication/369217635\_Application\_of\_artificial\_intelligence\_for\_resilient\_and\_sustainable\_healthcare\_system\_systematic\_literature\_review\_and\_future\_research\_directions




What are the main challenges of reinforcement learning, and how to overcome them? - Analytics India Magazine, Abhijeet Sarkar'shttps://analyticsindiamag.com/ai-features/what-are-the-main-challenges-of-reinforcement-learning-and-how-to-overcome-them/




Pioneering reinforcement learning researcher contemplates AI's future - IBM, Abhijeet Sarkar'shttps://www.ibm.com/think/news/andrew-barto-on-agi




What is Reinforcement Learning in AI? - Caltech Bootcamps, Abhijeet Sarkar'shttps://pg-p.ctme.caltech.edu/blog/ai-ml/what-is-reinforcement-learning




Is reinforcement learning the key for achieving AGI? : r/reinforcementlearning - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/reinforcementlearning/comments/1ivns8i/is\_reinforcement\_learning\_the\_key\_for\_achieving/




DeepMind says reinforcement learning is 'enough' to reach general AI - Hacker News, Abhijeet Sarkar'shttps://news.ycombinator.com/item?id=27456315




Why traditional reinforcement learning will probably not yield AGI [pdf] | Hacker News, Abhijeet Sarkar'shttps://news.ycombinator.com/item?id=24848249




Modular AGI and Hippocampal-Inspired Memory Models: A Path to Scalable Intelligence, Abhijeet Sarkar'shttps://zircon.tech/blog/modular-agi-and-hippocampal-inspired-memory-models-a-path-to-scalable-intelligence/




Brain-Inspired AGI for Post-Singularity Symbiosis - OpenReview, Abhijeet Sarkar'shttps://openreview.net/forum?id=XGi5a1URxE




Brain-inspired AI Agent: The Way Towards AGI - arXiv, Abhijeet Sarkar'shttps://arxiv.org/html/2412.08875v1




Human Brain Inspired Artificial Intelligence Neural Networks - IMR Press, Abhijeet Sarkar'shttps://www.imrpress.com/journal/JIN/24/4/10.31083/JIN26684/htm




The Promise of AGI and Neuroscience, or "Hold your Horses" - Galois, Inc., Abhijeet Sarkar'shttps://www.galois.com/articles/the-promise-of-agi-and-neuroscience-or-hold-your-horses




What are key difference between Atificial general intelligence and Neuromorphic computing, Abhijeet Sarkar'shttps://www.faf.ae/home/2025/1/5/what-are-key-difference-between-atificial-general-intelligence-and-neuromorphic-computing




Neuromorphic AI - LessWrong, Abhijeet Sarkar'shttps://www.lesswrong.com/w/neuromorphic-ai




AGI and the Explosion of AI Hardware: Tailoring Compute to Intelligence - FRANKI T, Abhijeet Sarkar'shttps://www.francescatabor.com/articles/2024/12/31/agi-and-the-explosion-of-ai-hardware-tailoring-compute-to-intelligence




Will neuromorphic computers accelerate AGI development? - YouTube, Abhijeet Sarkar'shttps://www.youtube.com/watch?v=IJRfceIFhSo




Is Neuromorphic Computing the Future of AI? - Exoswan Insights, Abhijeet Sarkar'shttps://exoswan.com/is-neuromorphic-computing-the-future-of-ai




science fiction | Jaya's blog, Abhijeet Sarkar'shttps://www.jayabhattacharjirose.com/tag/science-fiction/




THE-EVOLVING-ROLE-OF-DRONES-IN-AGRICULTURE-CURRENT-APPLICATIONS-AND-FUTURE-PROSPECTS.pdf - ResearchGate, Abhijeet Sarkar'shttps://www.researchgate.net/profile/Ajay-Prakash-11/publication/381375530\_THE\_EVOLVING\_ROLE\_OF\_DRONES\_IN\_AGRICULTURE\_CURRENT\_APPLICATIONS\_AND\_FUTURE\_PROSPECTS/links/666a86e3de777205a32a8887/THE-EVOLVING-ROLE-OF-DRONES-IN-AGRICULTURE-CURRENT-APPLICATIONS-AND-FUTURE-PROSPECTS.pdf




Neuroscience-Inspired Memory Systems: A Breakthrough in AI Advancements, Abhijeet Sarkar'shttps://bioengineer.org/neuroscience-inspired-memory-systems-a-breakthrough-in-ai-advancements/




Human Brain Inspired Artificial Intelligence Neural Networks - IMR Press, Abhijeet Sarkar'shttps://www.imrpress.com/journal/JIN/24/4/10.31083/JIN26684




Cognitive Neuroscience and AI: Unlocking the Future of Intelligence - Open MedScience, Abhijeet Sarkar'shttps://openmedscience.com/cognitive-neuroscience-and-ai-unlocking-the-future-of-intelligence/




Neuroscience-Inspired Artificial Intelligence | Johns Hopkins University Applied Physics Laboratory, Abhijeet Sarkar'shttps://www.jhuapl.edu/work/projects-and-missions/neuroscience-inspired-artificial-intelligence




Brain Inspired Cognitive Architectures - Human Brain Project, Abhijeet Sarkar'shttps://www.humanbrainproject.eu/science-development/focus-areas/brain-inspired-cognitive-architectures/




Sheet1 - Knihovna FME VUTBR, Abhijeet Sarkar'shttps://knihovna.fme.vutbr.cz/images/20210409\_AIP\_Brno\_EBS\_Engineering\_2015-2021\_-\_zjednodu\%C5\%A1en\%C3\%A1\_verze.xls




Neuromorphic Computing The Next Frontier in Brain-Inspired AI, Scalable Architectures, and Intelligent Systems - ResearchGate, Abhijeet Sarkar'shttps://www.researchgate.net/publication/388876273\_Neuromorphic\_Computing\_The\_Next\_Frontier\_in\_Brain-Inspired\_AI\_Scalable\_Architectures\_and\_Intelligent\_Systems




Next Generation Computing and the Quest for Artificial General Intelligence (AGI) - DigitalCommons@Cedarville, Abhijeet Sarkar'shttps://digitalcommons.cedarville.edu/cgi/viewcontent.cgi?article=1048\&context=christian\_engineering\_conference




Will neuromorphic be the future of AI? : r/singularity - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/singularity/comments/1dgquru/will\_neuromorphic\_be\_the\_future\_of\_ai/




An Adaptive Hybrid Algorithm for Global Network Alignment - PMC, Abhijeet Sarkar'shttps://pmc.ncbi.nlm.nih.gov/articles/PMC4922862/




Understanding Likelihood Over-optimisation in Direct Alignment Algorithms - arXiv, Abhijeet Sarkar'shttps://arxiv.org/html/2410.11677v1




Adaptive Algorithm - Lark, Abhijeet Sarkar'shttps://www.larksuite.com/en\_us/topics/ai-glossary/adaptive-algorithm




(PDF) Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments - ResearchGate, Abhijeet Sarkar'shttps://www.researchgate.net/publication/385608163\_Adaptive\_AI\_Alignment\_Established\_Resources\_for\_Aligning\_Machine\_Learning\_with\_Human\_Intentions\_and\_Values\_in\_Changing\_Environments




Adaptive AI Alignment: Established Resources for Aligning Machine Learning with Human Intentions and Values in Changing Environments - MDPI, Abhijeet Sarkar'shttps://www.mdpi.com/2504-4990/6/4/124




De Gruyter Handbook of Sustainable Development and Finance 9783110733488, 9783110738292 - DOKUMEN.PUB, Abhijeet Sarkar'shttps://dokumen.pub/de-gruyter-handbook-of-sustainable-development-and-finance-9783110733488-9783110738292.html




ANNAMALAI UNIVERSITY Regulations \& Curriculum – 2019 HAND BOOK 2019, Abhijeet Sarkar'shttps://annamalaiuniversity.ac.in/studport/download/Handbook/2020-21/Engg/CSE/B.E\_CS\_(AI\&ML)Handbook\_R2019.pdf




Venture Center, Abhijeet Sarkar'shttps://vcenterlibrary.org/bookall.php?order1=ASC\&by1=author




AI Alignment and Technological Risk: Is Alignment Solvable? : r/singularity - Reddit, Abhijeet Sarkar'shttps://www.reddit.com/r/singularity/comments/1iyo3sg/ai\_alignment\_and\_technological\_risk\_is\_alignment/




Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI - arXiv, Abhijeet Sarkar'shttps://arxiv.org/html/2410.23630v1




AI Alignment - Addressing The Doom, Superintelligence \& How We Can Make Good AI, Abhijeet Sarkar'shttps://intuitive.cloud/whitepaper/ai-alignment-addressing-the-doom-superintelligence-how-we-can-make-good-ai




A Comprehensive Survey - AI Alignment, Abhijeet Sarkar'shttps://alignmentsurvey.com/uploads/AI-Alignment-A-Comprehensive-Survey.pdf




AI Safety Strategies Landscape - AI Alignment Forum, Abhijeet Sarkar'shttps://www.alignmentforum.org/posts/RzsXRbk2ETNqjhsma/ai-safety-strategies-landscape




Superintelligence Safety: A Requirements Engineering Perspective - Advances in Artificial Intelligence and Machine Learning, Abhijeet Sarkar'shttps://oajaiml.com/uploads/archivepdf/99101156.pdf




Requirements for Developing an Ethical AI Policy Framework in Healthcare Research: A Case Study - eScholarship.org, Abhijeet Sarkar'shttps://escholarship.org/uc/item/39x147n4




AI Agents and the Future of Work: Redefining Employment in the Next Tech Era - Goodreads, Abhijeet Sarkar'shttps://www.goodreads.com/book/show/224663256-ai-agents-and-the-future-of-work




AI Agents and the Future of Work: Redefining Employment in the Next Tech Era (eBook, ePUB) - Bücher.de, Abhijeet Sarkar'shttps://www.buecher.de/artikel/ebook/ai-agents-and-the-future-of-work-redefining-employment-in-the-next-tech-era-ebook-epub/72861460/




Cortex Link, eBook by ABHIJEET SARKAR | AI and the Human Brain Connectivity, Abhijeet Sarkar'shttps://www.booktopia.com.au/cortex-link-abhijeet-sarkar/ebook/9798230187790.html




Cortex Link: AI and the Human Brain Connectivity by ABHIJEET SARKAR | eBook, Abhijeet Sarkar'shttps://www.barnesandnoble.com/w/cortex-link-abhijeet-sarkar/1146821408




Cortex Link: AI and the Human Brain Connectivity - ABHIJEET, Abhijeet Sarkar'shttps://books.google.com/books/about/Cortex\_Link.html?id=BQ9CEQAAQBAJ



 },
    url = "https://zenodo.org/doi/10.5281/zenodo.15267176",
    doi = "10.5281/zenodo.15267176"
}

@incollection{albãkNonemorality,
    author = "Albæk, Erik and Green-Pedersen, Christoffer and Larsen, Lars Thorup",
    title = "Morality Issues in Denmark",
    year = "None",
    booktitle = "Morality Politics in Western Europe",
    url = "https://doi.org/10.1057/9781137016690.0012",
    doi = "10.1057/9781137016690.0012"
}