A Pascal's Wager for AI doomers

Nature of AI Intelligence

  • Debate over whether LLMs count as “intelligent” or just advanced statistics.
  • Some argue emergent internal representations and adaptability qualify as intelligence or at least “cognition,” even if constrained to language.
  • Others emphasize we barely understand animal and human intelligence, so declaring language-only models “intelligent” is premature.
  • Comparisons made to animal cognition: many non-linguistic animals are clearly intelligent; language may merely “supercharge” preexisting intelligence.

Superintelligence, Power, and Doomerism

  • Skeptics argue superintelligent AI is speculative; extraordinary claims need evidence, and current systems still make obvious mistakes.
  • Strong criticism of the assumption that higher intelligence automatically yields “godlike” control over complex, nonlinear systems.
  • Counterpoint: human intelligence already gives species-level dominance; scaled-up, copyable intelligence with persistent operation and mass propaganda could be qualitatively different.
  • Some note that political and institutional power, not lack of brainpower, is the real bottleneck; society already ignores human experts.

Current Capabilities and Limitations

  • Many report large productivity gains, especially in coding, troubleshooting, and translation.
  • Others see frequent bad judgment, hallucinations, and lack of initiative or stable principles, requiring heavy testing and oversight.
  • Disagreement over long‑term trajectory: some expect continued rapid gains; others note perceived regressions and cost pressures.

Economic Bubble and Corporate Dynamics

  • Dispute over whether AI spending is a dangerous bubble with circular financing vs. a healthy risk-taking sector driving innovation.
  • Concern that huge capex and valuations aren’t yet matched by real value, especially in frontier models, while narrower tools (transcription, summarization, image description) seem solid.
  • Some fear systemic fragility; others point to historical bubbles that still left useful infrastructure and capabilities.

Social, Political, and Infrastructure Effects

  • Worry that AI acts as mass-access “yes-men,” reinforcing user egos and elite worldviews.
  • Concerns about AI-driven scams, astroturfing, psychosis induction, and over-automation of control functions in critical systems.
  • Parallel discussion on escaping the “enshittened” internet via home servers and community tech support, possibly aided by local AI assistants.
  • Several commenters argue it’s a false choice: we can be concerned both about current corporate harms and future high-end AI risks.