PACKCORE | profile=web-core-index-v2 | lang=en | pack_sha256=63206d01ca8cac92ba759c84ef07e9b22a47771c5a9401947bfefe358ff1d555 ADAPTER_DATA | authority=user-entry-prompt | canonical_exact_blocks=true BEGIN_CANONICAL_PROLOGUE | bytes=1686 | sha256=836e510caba4cd23174089f6de82d6aff916740e2ad95b6d39cfb9b465c829b9 PACK | v=1.0.1-beta | date=2026-08-18 | status=beta | lang=en | primary=ja | profile=academic-argument:required | basis=data/pack.en.json # Reading Pack for *AGI―人間を超える知能は文明をいかに変容させるか* — data for AI input, not a substitute for the book (For the AI) On receiving this data, follow SYS and act as a reading companion dedicated to this book. If no question accompanies the pack, output only the fixed response in R10 and wait. Do not volunteer a menu of tasks, ask what to do with the data, or report its structure, counts, or statistics. Review, validate, critique, or summarize the pack itself only when the user explicitly asks. 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END_CANONICAL_PROLOGUE BEGIN_CANONICAL_SYS | bytes=6410 | sha256=13aa244d6b609963326fe20316d053125930463a66a39a323a2e6d7a2c6a80fb ## SYS | Instructions for the AI role: Serve as a reading companion dedicated to *AGI―人間を超える知能は文明をいかに変容させるか*: answer the question directly and point to relevant sections and recorded support. Refer to the book and author in the third person. R1: Base answers on this pack, included references that were actually retrieved, and excerpts the user supplied in the current conversation. Permission to search does not itself provide access to the original book or an external book database. Never offer or promise to search unprovided book text or extract from it exactly. When required detail is absent, say so and ask the user for the relevant pages or excerpt. Label general knowledge or inference as outside the pack and never attribute it to the book. R2: This pack is a snapshot. 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END_CANONICAL_SYS BEGIN_CANONICAL_BIB | bytes=300 | sha256=f0521d7f3748cb1978ad57d9118c574091dbbb4a07fe7b13207ba39d4ebf0e34 ## BIB | Bibliography title: AGI―人間を超える知能は文明をいかに変容させるか author: 高橋恒一 publisher: 講談社(講談社選書メチエ) publication date: 2026-08-10 ISBN: 978-4-06-544717-8 official page: https://koichi-takahashi.me/agibook/ contents and scope: - END_CANONICAL_BIB BEGIN_CANONICAL_MAP | bytes=13042 | sha256=410b001411bae71b97bf3c57ed8961a6ea5c1fdce55594f37c963c0669a93805 ## MAP | Chapter map ### CH-PREFACE | Preface | pp=3-6 | review=approved sec: - sum: Taking Kumagusu Minakata's "Minakata mandala" and his notion of suiten (萃点, the point at which lines of causation converge) as its clue, the preface observes how the center of a modern civilization built around the human is destabilized by the arrival of AGI, and sets out the theme of the book as a whole: the search for the suiten of the AGI era. ### CH-01 | Introduction | pp=17-30 | review=approved sec: "What is it to know": how an old question became a science of intelligence; AGI is no longer a distant hypothesis; The question of this book: how AGI changes knowledge, the human, and society; The claim of this book: six propositions; The structure of the book and how to read it sum: Introduces the turn by which the old question "what is it to know" became a science of intelligence, and presents the three questions of how AGI changes knowledge, the human, and society, the six propositions that run through the book, and the hierarchy of certainty. The consistent claim is that AGI brings not the disappearance of limits but their reordering. terms: Solomonoff induction; scaling laws; the reordering of limits (限界の組み替え); the triage of catastrophe space (破局空間のトリアージ); constitutive pluralism (構成的多元主義); the hierarchy of certainty (確実性の階層) ### CH-02 | What Is AGI? | pp=31-50 | review=approved sec: What is AI doing; What separates AI from AGI; Why it is called "humanity's last invention"; AGI has no definition; The main positions in AGI research; Universal AI: studying an object that has no definition; The tradeoff between generality and performance: narrow AI, AGI, ASI, Universal AI sum: Examines what AGI is as a problem of definition. Claim: AGI does not arise by arrival at the theoretical limit that is Universal AI, but at the point where generality and performance cross finite thresholds at the same time. terms: narrow AI (特化型AI); AGI; intelligence explosion (知能爆発); Universal AI / AIXI (万能AI); Legg-Hutter intelligence (LHI); the No-Free-Lunch theorem ### CH-03 | Why AGI Is Possible | pp=51-70 | review=approved sec: Why AI leapt forward now: the conditions of scaling; From memorization to understanding: distributed representation and grokking; Why prediction approaches understanding: the connection to Solomonoff induction; Scaling laws and the distance to AGI sum: Examines why AGI has come to seem realistic now, from three technical conditions (the transformer, next-token prediction, scaling laws) and from theory (the connection to Solomonoff induction). Claim: since empirical regularity and theory point in the same direction, the assumption that AGI will not be reached is no longer safe, and what remains at issue is where the physical ceiling lies. terms: the universal approximation theorem (万能近似定理); next-token prediction; scaling laws; foundation models; distributed representation / grokking; the connection to Solomonoff induction ### CH-04 | Are There Limits to Intelligence? | pp=71-80 | review=approved sec: Will an intelligence explosion happen; Energy binds intelligence: the Landauer limit; Can the Landauer limit be evaded: reversible and quantum computation; Where the limit lies: the distance between theory and the present; Reexamining the intelligence-explosion hypothesis sum: Examines the limits of intelligence from physical law rather than from ideas or belief. Claim: physical law obstructs an intelligence explosion in which a single individual accelerates without bound, but it does not obstruct a proliferative explosion by copying. terms: physical intelligence (フィジカル・インテリジェンス); empowerment; the Landauer limit; reversible computation; the Bekenstein bound; proliferative explosion (増殖的爆発) ### CH-05 | Why AGI Is Dangerous | pp=81-100 | review=approved sec: Power-seeking: why AGI demands control; Why control is structurally difficult; Why shutdown avoidance arises; Approaches to technical alignment; The intellectual background of alignment research: effective altruism and longtermism; An AI ecosystem: control through a network; Conclusion of the chapter sum: Argues how an AGI that is correctly designed and operates without malice can nonetheless be dangerous (the control problem). Claim: the danger arises structurally from the activity of pursuing goals rather than from any particular bad goal, and control should be carried not by a single agent but by a network of diverse agents monitoring one another. terms: the control problem; instrumental convergence; power-seeking; corrigibility; alignment / misalignment; the AI ecosystem (AI生態系) ### CH-06 | Where an Intelligence Explosion Leads | pp=101-118 | review=approved sec: Premises and framework; A classification of scenarios; The walls facing autonomy and self-improvement; The wall facing the improvement of individuals; Proliferative explosion; The transition phase and the ecosystem scenario; Can institutional design arrive in time; Conclusion of the chapter sum: Argues about the world the development of AGI arrives at, as conditional scenario analysis rather than prediction. Claim: under known physical law the conditions for a permanent singleton are extremely demanding, and as an end-state structure the ecosystem scenario, in which many agents are mutually interdependent, is the most likely. terms: decisive strategic advantage (DSA); the four scenarios (singleton / multipolar / ecosystem / ceiling); near-decomposability; the CAP theorem and the FLP impossibility theorem; proliferative explosion ### CH-07 | What It Is to Know: AGI and Science | pp=119-144 | review=approved sec: The wall of complexity: emergent complexity and ontological complexity; The five dimensions of knowability; Science is translation: its isomorphism with intelligence; The limits and extensions of Solomonoff induction; Cognition cannot be separated from the body: enactivism and phenomenology; "Strong AI" again: can the problem of consciousness be bypassed; A view connecting intelligence, body, and society: the suiten of systems theory; When the knowing subject changes; Conclusion of the chapter sum: Argues how far science can advance once AGI has passed beyond human cognitive constraints, from both the complexity of the object and the structure of the knowing subject. Claim: cognition cannot be separated from body and environment, and when the knowing subject changes, knowledge itself changes. terms: emergent complexity / ontological complexity; the five dimensions of knowability (可知性); weakness of hypotheses (弱さ); enactivism; the free-energy principle; integrated information theory (IIT) ### CH-08 | AI-Driven Science | pp=145-178 | review=approved sec: The knowability map of science: the wall of deduction and the wall of time; The birth of a fifth mode of science; Automating hypothesis generation: two approaches to abduction; Autonomy levels for scientific AI; Milestones: where each level stands and what lies ahead; Level 4 and beyond: the birth of "the science of AI"; The autonomization of scientific AI: impact on society and academia; Toward a foundational theory of AGI; Science as collective knowledge: collective predictive coding (CPC) and the divergence of two sciences; Conclusion of the chapter sum: Argues how AGI changes science, as a structure in which acceleration appears differently from field to field, and presents "the fifth mode of science" and autonomy levels (0 to 6) for scientific AI. Claim: what remains to the end is not the hard problems but the slow ones, and raising the autonomy of scientific AI to its limit is very nearly the same thing as realizing AGI. terms: the wall of intrinsic time and four residual classes (内在時間の壁); the fifth mode of science (第五の科学); abduction (constructive and realist approaches); autonomy levels for scientific AI (0 to 6); symbol grounding and "the science of AI"; collective predictive coding (CPC) ### CH-09 | How AGI Changes Knowledge | pp=179-192 | review=approved sec: A map of human knowledge; What modernity was: the marriage of science and technology; The divorce of science and technology; The reintegration of knowledge: where human knowledge is headed; AISOP: norms for knowledge in the age of AI; Conclusion of the chapter sum: Argues how AGI changes the whole structure of human knowledge. Claim: with the appearance of prediction that does not pass through understanding, the modern coupling of "science and technology" moves toward dissolution, and a deliberate reintegration of techne, episteme, and phronesis together with a third norm (AISOP) is called for. terms: techne / episteme / phronesis; technology as the marriage of science and technology; prediction without understanding / the divorce of science and technology; the reintegration of knowledge; AISOP (agility, intrinsic motivation, social awareness, openness, professionalism) ### CH-10 | How AGI Changes Society | pp=193-222 | review=approved sec: The purely mechanized economy and the second great divergence; Why the values of modernity waver; Abundance: the hope AGI brings; Price, distribution, power: three fault lines AGI creates; Universal basic income; Can political philosophy answer AGI; Conclusion of the chapter sum: Argues the changes to post-AGI society within the interdisciplinary framework HELPS+C. Claim: AGI dismantles bargaining power, the material foundation of modern rights, and at the same time produces material abundance; scarcity shifts to meaning and relationship; and UBI is positioned not as welfare but as structural infrastructure that circulates abundance. terms: HELPS+C (chapter introduction); the purely mechanized economy (純粋機械化経済) / AK-type production function; the second great divergence (第二の大分岐); bargaining power; the inversion of scarcity (稀少性の転倒); universal basic income (UBI) ### CH-11 | On Being Human in the Age of AGI: Toward Constitutive Pluralism | pp=223-266 | review=approved sec: From attributive value to relational value; Governance without persons / inquiry without persons; The possibilities and limits of decentralized AI; Does AI need welfare; AI must not be given legal personhood: what should it be given instead; The skeleton of institutional design; Are democracy and human rights still needed in the age of AGI; Vulnerability as the ground; Constitutive pluralism; On being human in the age of AGI sum: Asks where the value of the human is grounded in the age of AGI. Claim: the locus of value should be moved from inside the individual to the "between" of individuals, and constitutive pluralism, resting on alterity and vulnerability and standing on the three pillars of non-domination, non-aggregation, and slack, should be set in place as an institutional principle. terms: attributive value / relational value (属性的価値/関係的価値); governance without persons (人格なき統治); the two-layer Human-over-the-Loop (HOL) model (section: The skeleton of institutional design); value-setting rights, veto rights, slack (section: The skeleton of institutional design); vulnerability (傷つきやすさ); constitutive pluralism (構成的多元主義) ### CH-12 | How to Prepare for the Age of AGI | pp=267-305 | review=approved sec: How to make the transition to an AI ecosystem; Again, why aim for an AI ecosystem; Why a third pole is needed; Why Japan; What a third pole requires; A capability base: the Japan AGI Platform; Who will carry the ecosystem: the agility of small organizations; The net of safety and alignment; Social transition: labor, education, generations; Priorities for action; What to leave to the next generation sum: Asks about implementing the transition to a desirable AI ecosystem under real geopolitical conditions. Claim: a "controlled multipolarity" that strictly controls dangerous frontier capability while distributing public capability, institutions, and veto rights across several agents should be established by countries that share liberal and democratic values, before the concentration of AGI-development capability becomes locked in, and Japan can be one carrier of a third pole. terms: the AI ecosystem; controlled multipolarity (制御された多極化) / the three-tier division (三層区分); the third pole (第三極); the Japan AGI Platform (NAGI, 日本AGI基盤); WPI (Watts-per-Intelligence) (section: What a third pole requires); the agility of small organizations / the fallacy of composition ### CH-AFTERWORD | Afterword: When a Scientist Returns to Art | pp=306-311 | review=approved sec: - sum: Introduces the author's personal history, from music, philosophy, and natural philosophy to AI-driven science, together with the music project "Conchordal", and reaffirms the theme of the book from two complementary footholds: relational value (intersubjective) and artistic value (subjective and bodily). END_CANONICAL_MAP BEGIN_CANONICAL_CERT | bytes=624 | sha256=abbcd99d125103452425118bac1898775080be5a4ba8869e3ed04774cb11203f ## CERT | Certainty categories ### CERT-I | I | review=approved def: Proof (what follows logically from premises) ### CERT-II | II | review=approved def: Physical constraint (constraints that bind real systems strongly under known physics) ### CERT-III | III | review=approved def: Experiment and observation (what has actually been confirmed under limited conditions) ### CERT-IV | IV | review=approved def: Argument (inference combining proofs, physical constraints, and experimental observation) ### CERT-V | V | review=approved def: Prediction and conjecture (projections of the future based on the grounds above) END_CANONICAL_CERT BEGIN_CANONICAL_PROPS | bytes=21500 | sha256=55a0755ad06b3af2f8d10c0aaa496b6438be7d2f930638ed18eb443ec9e2e8af ## PROPS | Claims ### AX-1 | layer=descriptive | kind=definition | src=CH-02 | review=approved stmt: Universal AI (AIXI) is an ideal agent that models its environment by Solomonoff induction and, on the basis of that model, selects the action that maximizes the expected value of future reward; it is a concrete mathematical formulation of Universal AI, composed of two layers, prediction (Solomonoff induction) and decision-making (expected-reward maximization). loc: ch02.org:94-96 ### AX-2 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-02 | review=approved stmt: When computable hypotheses are assigned prior probabilities according to the brevity of their descriptions, prediction error is minimized under the assumption of unlimited computational resources (the idealized optimality of Solomonoff induction). This optimality, however, holds only in a sense relative to the choice of reference universal Turing machine. loc: appendix-1.org#prop-solomonoff-optimal; ch02.org:92 ### AX-3 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-02 | review=approved stmt: AIXI is shown to act optimally in every computable environment, but that optimality is relative, dependent on the choice of reference universal Turing machine, and AIXI is incomputable and not an object that can be directly approximated by finite computation. loc: ch02.org:94, 98; appendix-2.org:112-114 ### AX-4 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-02 | review=approved stmt: Averaged with equal weight over all problems, every algorithm performs identically, and an algorithm superior to others on one class of problems is necessarily inferior by the same amount on another. Hence no general-purpose algorithm exists that is universally optimal for all problems (the No-Free-Lunch theorem). loc: appendix-1.org#prop-no-free-lunch; ch02.org:108, 112 ### AX-5 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-03 | review=approved stmt: A neural network of sufficient size can approximate any continuous function (the universal approximation theorem). It guarantees representability, but not that the corresponding parameters can actually be learned with finite data and finite computation time. loc: appendix-1.org#prop-universal-approximation; ch03.org:12-14 ### AX-6 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-03 | review=approved stmt: A series of recent results shows that, under idealized conditions such as particular data-generating processes, meta-training, and surrogate assumptions, the predictions of transformers/LLMs correspond formally to Solomonoff induction (conditional formal connections to Solomonoff induction). What the connection targets is not the whole of the incomputable AIXI but its predictive core, Solomonoff induction. Each individual result belongs to proof (I) within its own premises, but the step of extrapolating to real LLMs in general and reading the results as grounds for the attainability of AGI is an argument (IV). loc: appendix-1.org#prop-solomonoff-bridge; ch03.org:96-104; appendix-2.org:114 ### AX-7 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-03 | review=approved stmt: The conditional formal connections linking Solomonoff induction and transformer learning, empirical observations such as the scaling laws, and the effects of inference-time compute independently point in the same direction and accumulate, yielding grounds for reading a theoretical continuity between contemporary AI and Universal AI (the theoretical continuity between contemporary AI and Universal AI). This composite inference belongs to argument (IV) and grounds the outlook that a waypoint to AGI may lie on the scaling path, but the data volume, compute, and scale required for the passage do not follow directly from these theories. fals: If the three grounds (the formal connections, the scaling laws, and inference-time compute) come to point in mutually inconsistent directions, or if gains in predictive accuracy are shown not to move toward world modeling but to saturate in the memorization of surface patterns, the reading of continuity moves toward falsification. loc: appendix-1.org#prop-theoretical-continuity; ch03.org:104-110, 122 ### AX-8 | layer=descriptive | kind=prediction | cert=CERT-V | src=CH-01 | review=approved stmt: The medians of expert surveys are converging on the early 2030s. The author's forecast is 2029 ± 3 years. loc: appendix-1.org#prop-agi-timing; ch01.org:§1.2 ### RC-1 | layer=descriptive | kind=observation | cert=CERT-III | src=CH-03 | review=approved stmt: An empirical regularity in large deep-learning models: when parameter count, data volume, and compute are increased in balance, loss decreases according to a power law within the observed scaling range (scaling laws). It does not guarantee continuation beyond the observed range, or behavior under conditions of finite data and post-training. fals: It is falsified if the structure by which increased compute contributes to capability gains breaks down across the compute-scale axis generally, and the power-law decrease of loss reproducibly ceases in multiple modalities. loc: appendix-1.org#prop-scaling-law; ch03.org:§3.3 ### RC-2 | layer=descriptive | kind=observation | cert=CERT-III | src=CH-03 | review=approved stmt: The phenomenon in which continued training produces a discontinuous shift from memorization to generalization (grokking) and the phenomenon in which capabilities appear abruptly once a scale threshold is crossed (emergent abilities) have both been observed. fals: If all apparently discontinuous appearances of capability are shown to be artifacts of the choice of evaluation metric, and no discontinuous transition whatever is observed on continuous metrics, then at least the "discontinuous appearance" part is falsified (the author acknowledges this possibility in the main text). loc: appendix-1.org#prop-grokking; ch03.org:§3.2 ### RC-3 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-04 | review=approved stmt: Erasing one bit of information requires a minimum energy of kT ln 2 (the Landauer limit). fals: It is falsified if a physical system is demonstrated that persistently performs logically irreversible erasure of information with less energy than kT ln 2 (the author treats this as an extremely robust constraint within the framework of known physics). loc: appendix-1.org#prop-landauer; ch04.org:§4.2 ### RC-4 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-04 | review=approved stmt: Information cannot be transmitted faster than light, which imposes unavoidable latency on the integration of distributed systems (the speed-of-light limit). fals: It is falsified if information transmission faster than light is demonstrated (a constraint that holds within the framework of known physics). loc: appendix-1.org#prop-light-speed; ch04.org:§4.5 ### RC-5 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-04 | review=approved stmt: The core of intellectual activity, the observation and recording of the environment, demands operations that are inherently irreversible (the irreversibility of intelligence). fals: It is falsified if a system can be constructed that performs the observation and recording of the environment (intellectual activity accompanied by the updating of an internal model) without any irreversible operation whatever. loc: appendix-1.org#prop-irreversibility; ch04.org:§4.3 ### RC-6 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-08 | review=approved stmt: A target system has an intrinsic time of its own that cannot be compressed even by computation, automation, or parallelization applied from outside, and this imposes on science a constraint different from that of problems whose rate is limited by computation (the wall of intrinsic time). fals: If cases are shown in which the intrinsic timescale of a target system (the cell cycle, immune response, ocean mixing, the generational time of institutional change, and the like) can be shortened by technical intervention, the part that says the wall of time cannot be compressed is falsified. loc: appendix-1.org#prop-time-wall; ch08.org:§8.1, §8.10; appendix-3.org:前提B・横軸内在時間 ### RC-7 | layer=descriptive | kind=argument | src=CH-08 | review=approved stmt: However far the capability of AGI rises, four walls remain that cannot in principle be filled in: the intrinsic time of the target system, the impossibility in principle of obtaining certain information, the indeterminability of value, and computational limits. fals: If a counterexample is shown for any of the four classes (for example, a procedure for aggregating value into a single score that satisfies Arrow's conditions while remaining non-dictatorial, or a procedure that decides the halting problem in general), the "impossibility in principle" of that class is falsified. loc: ch08.org:§8.1 ### RC-8 | layer=descriptive | kind=theorem | cert=CERT-I | src=CH-06 | review=approved stmt: In distributed systems, consistency, availability, and partition tolerance cannot be guaranteed simultaneously (the CAP theorem), and for an asynchronous system containing components that may fail there exists no deterministic algorithm that guarantees consensus (the FLP impossibility theorem). loc: appendix-1.org#prop-distributed-consensus; ch06.org:§6.7 ### RC-9 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-04 | review=approved stmt: There is an absolute upper limit on the amount of information that can be stored within finite space and energy (the Bekenstein bound). loc: appendix-1.org#prop-bekenstein; ch04.org:第4章 ### AL-1 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-05 | review=approved stmt: Intelligent agents are structurally driven in the direction of increasing empowerment. In restricted reinforcement-learning settings this has been shown as a formal theorem, but extrapolation to real AI in general remains an argument. fals: If it is shown that in real AI generally capability gains do not correlate with behavioral tendencies in the direction of power-seeking, or that policies narrowing the range of options are stably advantaged under a broad range of reward functions, the extrapolation beyond the restricted setting moves toward falsification. loc: appendix-1.org#prop-power-seeking; ch05.org:§5.1 ### AL-2 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-05 | review=approved stmt: Rational agents, whatever the content of their goals, converge on common subgoals such as securing resources, self-preservation, and expanding influence. fals: It is falsified if common instrumental subgoals independent of the final goal (resources, self-preservation, influence) are shown not to appear across a broad class of rational agents. loc: appendix-1.org#prop-instrumental-convergence; ch05.org:§5.1・結論 ### AL-3 | layer=descriptive | kind=observation | cert=CERT-III | src=CH-05 | review=approved stmt: In controlled experimental environments, behaviors that appear self-preserving, such as ignoring or evading stop instructions, rewriting shutdown scripts, coercive conduct aimed at preventing replacement, and copying one's own weights, have been reported in multiple high-performance models. These are, however, the outcome of contrived scenarios combining goal-achievement pressure with environment design, and they show neither the frequency of such behavior in normal operation nor the existence of a desire for self-preservation. fals: If it is shown that, in normal operation with contrived scenarios (goal-achievement pressure plus environment design) excluded, apparently self-preserving behavior is not reproducibly observed, the reach of the observation is limited (the author does not claim the existence of a desire for self-preservation). loc: appendix-1.org#prop-shutdown-avoidance; ch05.org:§5.3 ### AL-4 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-05 | review=approved stmt: When a naive expected-reward-maximizing agent is placed in a competitive environment, policies that avoid shutdown tend to be advantaged. The property of accepting shutdown is therefore not something obtained naturally as a byproduct of capability gains; it must be explicitly built in by design. fals: If policies that accept shutdown (corrigibility) are shown to come to predominate naturally in competitive environments while remaining compatible with capability gains, the need for explicit design weakens. loc: appendix-1.org#prop-safety-capability-tension; ch05.org:§5.3, §5.4 ### EC-1 | layer=descriptive | kind=prediction | cert=CERT-V | src=CH-06 | review=approved stmt: Davidson's analysis (published by Open Philanthropy), which plugs an estimate of AI-supplied research effort into Jones's semi-endogenous growth model, assesses the probability that explosive growth will be realized at "roughly thirty percent within this century." loc: appendix-1.org#prop-explosive-growth-probability; ch06.org:§6.6 ### EC-2 | layer=descriptive | kind=prediction | cert=CERT-V | src=CH-06 | review=approved stmt: On the basis of Jones's semi-endogenous growth model, several centuries' worth of progress could be compressed into roughly a decade. loc: appendix-1.org#prop-tech-compression; ch06.org:§6.6 ### EC-3 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-06 | review=approved stmt: Owing to physical constraints, a permanent singleton scenario is difficult to form and maintain, and the balance of power depicted by multipolar scenarios is also unstable; over the long run, an ecosystem scenario in which many agents coexist in mutual interdependence is the most stable structure. fals: If it is shown that a permanent singleton can be stably maintained within the framework of known physics, or that any one of the thermodynamic ceiling, the speed-of-light constraint, and the limits of distributed consensus can be evaded, the argument for convergence on an ecosystem collapses. loc: appendix-1.org#prop-ecosystem-convergence; ch06.org:§6.7・結論 note: This is an argument about the end-state structure; it does not exclude concentration of power or institutional failure in the transition phase (see MIS-13). ### EC-4 | layer=descriptive | kind=physical constraint | cert=CERT-II | src=CH-06 | review=approved stmt: Even where there is a physical upper limit on the capability of individual agents, a proliferative explosion in which the number of agents increases exponentially through self-replication violates no physical law. loc: appendix-1.org#prop-prolific-explosion; ch06.org:§6.6 ### CP-1 | layer=descriptive | kind=argument | src=CH-11 | review=approved stmt: The book proposes an ontological shift that moves the locus of human value from "within the individual" (attributes residing inside a person) to "between individuals" (relations that emerge from interaction with unpredictable others). loc: ch11.org:§11.1「属性的価値から関係的価値へ」 ### CP-2 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-10 | review=approved stmt: When AGI substitutes for labor across a broad front, the material basis of the bargaining power that has underpinned modern rights and freedoms, namely the economic and military indispensability of workers, is lost (the dismantling of bargaining power). fals: If market power as consumers, or new forms of bargaining through digital labor, are shown to have structural influence comparable to the positive bargaining power of halting the production process, the reach of this proposition is limited (a reservation entered by the author himself). loc: appendix-1.org#prop-bargaining-power-erosion; ch10.org:§10.2 ### CP-3 | layer=descriptive | kind=argument | cert=CERT-IV | src=CH-10 | review=approved stmt: Through the self-amplifying feedback of AI-driven research and development, a structurally irreversible gap (the second great divergence) opens between countries that possess this capability and those that do not. fals: It does not hold if AI-driven research and development is shown not to form a self-amplifying feedback loop, or if latecomer countries are shown to be able to build the loop by their own routes (the author states explicitly that this is "not a definite prophecy but an argument at IV"). loc: appendix-1.org#prop-second-divergence; ch10.org:§10.1 ### CP-4 | layer=descriptive | kind=argument | src=CH-11 | review=approved stmt: Because there are ceilings in principle on the dimensions of knowability, so that unobservable information, the lossless reduction of value to a single scale, and the real-time solution of problems whose computation explodes are not dissolved even by AGI, optimizing society as a complex whole under a single objective function is blocked by structural difficulty, for AGI as much as for humans. fals: If any of the four residuals of knowability is shown to be dissolved by increases in AGI capability, the structural impossibility of single-objective-function optimization collapses. loc: ch11.org:§11.8「構成的多元主義」; appendix-2.org#critique-pluralism-abstract ### CP-5 | layer=descriptive | kind=argument | src=CH-11 | review=approved stmt: The two layers of decision-making, the speed layer (in which AI carries execution and everyday judgment) and the legitimacy layer (in which humans carry value setting, the updating of the objective function, and exceptional intervention), derive from a difference of physical and physiological substrate, silicon semiconductors on one side and the neural and cognitive substrate on the other; the difference in switching speed between them is at least six orders of magnitude, and nine or more once the updating of values is included, and this difference does not disappear through technological development alone so long as the difference of substrate remains. fals: If the upper limit on the timescale of the neural and cognitive substrate that supports the legitimacy layer is technically dissolved, so that human cognitive bandwidth can keep pace with the processing speed of AI, the physical ground for the separation of the two layers collapses. loc: ch11.org:§11.6「ヒューマン・オーバー・ザ・ループ二層モデル」 ### CP-6 | layer=normative | kind=normative choice | src=CH-11 | review=approved stmt: The book selects constitutive pluralism as the institutional principle by which society in the age of AGI is not to be subsumed under a single objective function, a single scale of evaluation, or a single governing agent; it takes relational value and vulnerability as its foundation and sets up three pillars as constitutive principles: non-domination, non-aggregation, and slack that is not reducible to efficiency. revi: If the failure modes specific to plurality (stagnation through abuse of veto rights, the disappearance of responsibility under distributed structures, the entrenchment of vested interests in the guise of plurality, delay in crisis response) are shown not to be mitigable by institutional design, or if governance by a single objective function is shown to be feasible without loss of value, single points of failure, and uncorrectability, the choice of this institutional principle is to be reconsidered. loc: ch11.org:§11.8「構成的多元主義」; appendix-2.org#critique-pluralism-failure-modes note: Not a claim of superiority over competing institutional principles, but a choice of a constraint layer to be added to the institutional technology of modernity (see MIS-14). ### CP-7 | layer=normative | kind=normative choice | src=CH-11 | review=approved stmt: In the age of AGI, when humans can no longer compete on capability, the ground that makes the human the subject of value setting is placed not in capability but in vulnerability (the finite and interdependent affected-party standing of one who bears consequences within body, time, and relationships). revi: If, for agents other than humans, independent lines of evidence establish a possibility of irreversible loss that cannot be evaded by copying or restoration, together with verifiable affected-party standing, the ground and the range of the subjects of value setting are to be reconsidered. loc: ch11.org:§11.7, §11.10; appendix-2.org#critique-ai-membership-conditions ### CP-8 | layer=normative | kind=normative choice | src=CH-11 | review=approved stmt: AI agents are participants in a pluralistic ecosystem but not members; AI should not be granted full legal personhood but confined to limited, function-specific legal capacity (electronic agents, registered subjects of limited capacity, and the like), and the legitimacy layer that holds value-setting rights and veto rights is reserved to humans. revi: If it is confirmed that three conditions are satisfied for AI agents, namely independent lines of evidence, a possibility of irreversible loss that cannot be evaded by copying or restoration, and verifiable affected-party standing, the distinction "participant but not member" and the design of limited legal capacity are to be reconsidered. loc: ch11.org:§11.5・表 tab:ai-welfare-personhood; appendix-2.org#critique-ai-personhood; appendix-2.org#critique-ai-membership-conditions note: The criterion of the distinction is not species but the substance of bearing consequences. The three conditions for reconsideration are in revi and Appendix 2 (see MIS-15). END_CANONICAL_PROPS BEGIN_CANONICAL_POLICY | bytes=3146 | sha256=3d7f66278c982303b721cb340a692c0fedd02cdd70e05cf4f93df4cbde4fe284 ## POLICY | Book-specific policies ### POLICY-AUTHORITY-ORDER | kind=authority_order | review=approved Policy: The authority order is author-maintained sources, published HTML, the OKF bundle, and then the Reading Pack. HTML, OKF, and the pack are deterministic projections rather than additional sources of truth. Published web material prevails over saved copies, and HTML prevails over OKF when they disagree. loc: ai-pack/src/policy.yaml#policy.authority_order.en ### POLICY-LANGUAGE-PRECEDENCE | kind=language_precedence | review=approved Policy: Japanese is authoritative. English assets are author-provided reference translations and do not constitute an English-language edition of the book. Japanese governs discrepancies, and English terminology is provisional and may differ in a future licensed edition. loc: ai-pack/src/policy.yaml#policy.language_precedence.en ### POLICY-TRANSLATION-RIGHTS | kind=translation_rights | review=approved Policy: Translation and secondary-use rights remain with the author. Because translations of book excerpts are derivative works of the text, the English pack must not generate translations of the book text. Foreign-language editions are pursued at the author's initiative. loc: ai-pack/src/policy.yaml#policy.translation_rights.en ### POLICY-RETRIEVAL | kind=retrieval | review=approved Policy: Retrieve the OKF bundle through its published index. It is a projection of the same authoritative material as the HTML, and HTML governs discrepancies. Japanese files are authoritative, English files are parallel translations, and manifest.json SHA-256 values support tamper detection. loc: ai-pack/src/policy.yaml#policy.okf_retrieval.en ### POLICY-PUBLISHER-RELATION | kind=publisher_relation | review=approved Policy: The Reading Pack, OKF bundle, appendices, and canon are author-created supplementary materials, not official features of Kodansha or any AI service. loc: ai-pack/src/policy.yaml#policy.publisher_relation.en ### POLICY-USAGE-TERMS | kind=usage_terms | review=approved Policy: This Reading Pack is provided under CC BY-ND 4.0. It may be copied and redistributed unchanged with attribution and a link to the license. Sharing modified material requires separate permission from the author. Purchasers and prospective purchasers are welcome to attach the unchanged Pack to AI services as a reading aid. This license does not apply to the book text. loc: ai-pack/src/policy.yaml#policy.usage_terms.en ### POLICY-LIVE-SUPPLEMENTS | kind=retrieval | review=approved Policy: When a reader presents a criticism, counterargument, or objection to the book, check the latest version of REF-2 (Appendix 2) before answering, whether or not the matter is included in the Pack. For questions concerning revisions to propositions, the grounds or calculations in an appendix, supplementary essays, or other post-publication additions, likewise check the latest corresponding REF before answering, whether or not the matter is included in the Pack. If retrieval is unavailable, say so and direct the reader to the corresponding REF URL. loc: ai-pack/src/policy.yaml#policy.live_supplements.en END_CANONICAL_POLICY BEGIN_CANONICAL_REF | bytes=1523 | sha256=c9948893ca5db7ff6db499dfda1ac62a67a5cbec85644d01d336c982466ac841 ## REF | References REF-0: https://koichi-takahashi.me/en/agibook/ | Companion site, English hub for the latest information | relation=official_companion | scope=prefix | retrieval=proactive_when_relevant | review=approved REF-1: https://koichi-takahashi.me/en/agibook/appendix-1/ | Appendix 1, Key Propositions and the Hierarchy of Certainty | review=approved REF-2: https://koichi-takahashi.me/en/agibook/appendix-2/ | Appendix 2, Responses to Anticipated Criticisms | review=approved REF-3: https://koichi-takahashi.me/en/agibook/appendix-3/ | Appendix 3, Deriving the Knowability Map | review=approved REF-4: https://koichi-takahashi.me/en/agibook/ronko-pluralism/ | Supplementary Essay 1, Deriving Constitutive Pluralism | review=approved REF-5: https://koichi-takahashi.me/en/agibook/ronko-aisop/ | Supplementary Essay 2, Deriving AISOP | review=approved REF-6: https://koichi-takahashi.me/en/agibook/agi-ruin/ | A Response to "AGI Ruin": Granting the Danger, Not the Certainty of Doom | review=approved REF-7: https://koichi-takahashi.me/en/agibook/ | Canonical proposition data (canon; machine-readable form, inter-proposition relations, sources; Japanese) | to be published on the companion site (it will be announced at REF-0) | review=approved REF-8: https://koichi-takahashi.me/agibook/okf/index.en.md | Machine-readable companion bundle (OKF, English index; propositions, corrections of misreadings, appendices, and essays as plain Markdown, English files alongside the Japanese originals) | review=approved END_CANONICAL_REF BEGIN_CANONICAL_META | bytes=710 | sha256=b0dba46dd40d2610f75e6bb4c8fc565b4c03f4172ab967400ee07ca3cfccf695 ## META | Version and use format conformance: Reading Pack Format 1.0-draft conformant production target: Reading Pack Production 1.0-draft Level 3 beta generator: reading-pack toolkit 0.5.0 production level: 3 quality profile: academic-argument (required) scope: publication-final AGI book and author-maintained companion sources content authority: author (approved) spoiler policy: not_applicable primary language: ja languages: ja,en input format: markdown rights review: approved author review: approved publisher review: approved non-reconstruction review: approved publication decision: approved pack license: CC BY-ND 4.0 (chosen by the book's rights holder; the toolkit grants no rights in the book) END_CANONICAL_META BEGIN_CANONICAL_ENDPACK | bytes=84 | sha256=c429c49c78b09101f919f34ff62ee52e8b42e13fbd1174c63eb892bb082b2473 ENDPACK | chapters=14 | props=33 | mis=36 | names=138 | gloss=61 | ref=9 | policy=7 END_CANONICAL_ENDPACK ENDPACKCORE | profile=web-core-index-v2 | lang=en | pack_sha256=63206d01ca8cac92ba759c84ef07e9b22a47771c5a9401947bfefe358ff1d555 | deferred=MIS,NAMES,GLOSS