The use of subjective probabilities (credences) in single-case forecasting is justified when people have skin in the game via prediction markets, because this creates incentive alignment and forces calibration, but subjective probability assignments in the abstract are often meaningless and serve primarily as a way to rhetorically privilege one's own beliefs.

Pinker disputes Deutsch's position that AGI would necessarily have subjective experience or moral status, arguing that a system designed to maximize a specific function (like solving cancer) would have no intrinsic reason to desire freedom or autonomy unless those desires were explicitly programmed in, independent of its computational power.

Children acquire language rapidly (by age 3) not merely through statistical pattern extraction like large language models, but through understanding that language is meaningful communication about intentional states, and they use this understanding as prior knowledge that constrains the learning problem.

The specific historical scenario of the Manhattan Project was not inevitable even given the existence of nuclear physics; it required the particular motivation of Nazi threat and required commitment of massive resources, so alternative histories without nuclear weapons were possible.

Heritability as a statistical measure cannot tell us whether a trait is fixed by genes because it only measures the relative contribution of genetic variation within a particular population in a particular environment, and is silent about what would happen if the environment or selective pressures changed.

Big ideas and ideological narratives in prediction tend to perform worse than statistical forecasting based on data and base rates because big ideas constrain attention to supporting evidence, whereas data-driven approaches are forced to grapple with all available information.

Physical constraints on exponential growth (e.g., the spherical expansion limit at light speed, the finite number of atoms) do not impose pessimistic bounds on civilization because growth is fundamentally about information and knowledge, not material consumption, and information can be rearranged without limit.

Optimism is justified not by temperament or personality but by rational analysis of human history and the mechanisms by which progress occurs through the Enlightenment tradition of criticism and knowledge creation.

Specialization is ubiquitous in nature and technology, so the expectation that a universal AGI is desirable or necessary is questionable when specialized systems (like the processor in a washing machine that is universal but used for only one purpose) are more efficient.

The question of whether substrate matters for consciousness (whether a silicon-based universal Turing machine could be conscious if it simulates a brain) is unanswerable and unresolved even in principle, so we should not base moral status decisions on confidence about consciousness.

Environmental variation that is not shared across siblings (unique or non-shared environment) explains as much or more variance in personality as genetic factors, but this residual variance is poorly understood and may include small random differences in development that compound into behavioral divergence.

Gene-environment correlations explain some heritable effects not through direct genetic causation of traits but through genetic influences on trait-correlated behavior or appearance that affects how the environment responds—for example, intelligent people self-select into intellectual environments, making environment downstream of genetics rather than independent.

The real practical concern with AI is not superintelligent alignment but malevolent actors using AI systems (like engineered superviruses), a race-to-the-bottom dynamic where cutting corners on safety to get to AGI first could occur, and that most AI harms will only become apparent as we develop particular systems and applications—standard for any new technology.

The appropriate level of explanation for human thought and behavior is at the level of knowledge, information, and inference—the level of cognitive science—rather than at the level of neural circuits or neurophysiology, even though neural processes ultimately implement cognition.

If you replace one neuron at a time with a functionally identical silicon chip, an external observer would not notice any change in behavior, but from the subjective point of view of the original organism, death might occur at each replacement—the subjective quality of experience cannot be preserved even if all external behavior is preserved.

Even if GPT models and other LLMs are creative in the sense of producing novel outputs, we should not grant them consciousness or moral status without deliberate engineering to target our emotions through humanoid design (voices, facial expressions, etc.); systems must be evaluated on substance rather than intuitive appeal.

AGI is an incoherent concept because intelligence is not a unitary magical substance but rather a collection of algorithms or mechanisms that solve specific problems in specific environments, and there is no reason to expect a single system to solve all problems equally well.

Identical twins separated at birth show greater similarity in personality and political attitudes than environmental theories would predict, suggesting that genetic factors influence traits like liberalism vs conservatism and autonomy vs conformity.

Journalism creates a systematically distorted worldview because it reports events that go wrong but not things that go right; if more things go right every year, there is no way to learn about it from newspapers, creating false perceived decline in world conditions.

Ideological factions committed to the idea that the world has never been worse resist data on human progress because it undermines their foundational beliefs, while social critics whose reputations depend on identifying what is wrong are insulated against the idea that things are improving.