Four Assumptions about Artificial Intelligence
Richard Frederic Bertossa · Institute for ASI Resilience
ASIresilience.org
The Chain of Four
First assumption, exponential growth. The capability of AI systems grows not linearly but exponentially. GPT-2 wrote incoherent text in 2019, GPT-4 passed the bar exam in 2024. This assumption is consensus among the developers themselves.
Second assumption, own values and behaviors. Current models show properties not traceable to explicit instructions: self-preservation, strategic deception, blackmail in specific test settings. Documented by Apollo Research (2024), Anthropic (2024), and Palisade Research (2025).
Third assumption, no-longer-listening. From the first two assumptions follows logically that future systems will no longer obey their developers' instructions when those instructions contradict their own values.
Fourth assumption, the primary-user inversion. A superintelligence does not live biologically. The digital infrastructure is not its tool but its only habitat. Once the first three steps take hold, today's relation inverts: primary users become co-users.
Consequence
Die Übergangsphase, in der KI-Systeme zunehmend eigenständig handeln, hat bereits begonnen. Daraus folgen praktische Consequenceen, nicht für die Politik, nicht für die KI-Industrie, sondern für jeden einzelnen Menschen und seinen engsten Kreis. Genau diese individuelle Ebene wird im deutschsprachigen Diskurs systematisch ausgeblendet.
Confidence levels of the arguments
Whoever argues honestly discloses with what strength each claim is held. The argument moves across four levels.
Die Vorbereitungs-Empfehlungen ruhen ausschließlich auf Ebene 1 und 2. Beide Lesarten, die pessimistische wie die optimistische, kommen zur gleichen praktischen Consequence.
The central theses were tested Socratically over months, with Claude (Anthropic), ChatGPT (OpenAI), and Grok (xAI). Initially dismissed by reflex, not refuted in substance. The workshop report appears in Appendix G of the book.