AI 2040: Plan A

Pausing AI and Governance

• Many doubt a deliberate US–China pause at “top human genius” levels is politically or economically realistic; too much money and strategic advantage at stake.
• Some argue any pause would come from populist backlash against tech companies (jobs, inequality, surveillance), not from abstract safety concerns.
• Others warn that relying on misinformation (e.g., exaggerated water use) as a tactical ally is dangerous and morally dubious.

Historical Precedents for Restraint

• Several examples cited: bans on guns in historical Japan, Asilomar self‑moratorium on recombinant DNA, strong norms against human germline editing, biological and thermonuclear weapons limits, and partial success of the Biological Weapons Convention.
• Skeptics note such regimes are leaky (e.g., Soviet bioweapons) and question whether they scale to widely accessible AI.

Open vs Centralized AI Control

• One camp fears that strict regulation would entrench governments and a few firms, increasing authoritarian misuse and regulatory capture.
• Another camp fears that without strong constraints on large data centers and chip flows, covert or monopolistic projects will dominate and disempower the public.
• There is support for openness of ideas and models, but tension over open‑weights vs safety and misuse (e.g., bio, cyber).

Economic, Labor, and Robotics Forecasts

• Some see AI agents already doing “PhD‑level” tasks, predicting rapid substitution of cognitive and eventually physical labor, large robot populations, and high unemployment.
• Others argue physical-world automation is much harder; package‑delivery robots and drones remain limited, and 95% task coverage or 74% unemployment by 2035 are seen as implausible.
• Historical automation is cited as having failed to create mass unemployment so far, with counter‑arguments that speed and scale this time may be different.

Scaling, Trajectories, and Technical Uncertainty

• Debate over whether LLM progress is on an S‑curve plateau vs continuing exponential: some see clear capability jumps (especially in agents), others see marginal gains.
• Some insist transformers fundamentally lack memory, judgment, and legal personhood; others point to active work on long‑term memory and continual learning.

Compute, Datacenters, and Local Impacts

• Forecasts of $100T+ GPU build‑out are widely mocked as economically impossible.
• Datacenters are framed by critics as extractive “post‑industrial mines” (land, water, noise, power; profits exported), with locals seeing few benefits.
• Supporters respond that energy build‑out, better regulation, and increased chip supply could mitigate many concerns.

Geopolitics and China/US Dynamics

• Some view mutual verification on chips and datacenters as feasible (analogy to Cold War arms control); others doubt tracking coverage and Chinese compliance.
• There is pushback on perceived US‑centric framing and “jingoism,” and disagreement over whether China will out‑innovate or follow the US in export controls.

Critiques of Plan A as a Scenario

• Several commenters see Plan A as heavily speculative, overconfident about AGI/ASI inevitability, and narrowly focused on a few outcomes that justify strong regulation.
• Others praise it as the most realistic optimistic takeoff scenario so far, especially for addressing both alignment risk and power concentration, even if timelines and numbers may be off.