There is no singularity (gusarich.com)

The author rejects the popular idea of a sudden "singularity" — a discrete point where AI progress explodes beyond human control — arguing instead that AI is part of the same smooth, long-run exponential curve that has governed previous technological revolutions. Citing Sam Altman’s recent "The Gentle Singularity" framing, the piece says progress will feel abrupt when viewed forward but is continuous in retrospect. That means organizations and policymakers can, and should, plan multi-year strategies rather than assume an unpredictable discontinuity; AI will accelerate innovation but not break the normal temporal logic of technological change. Technically, the argument frames self-improving AI as analogous to other feedback-enabled systems (e.g., the internet improving itself): it amplifies progress but does not create mathematically infinite, instantaneous growth. The author acknowledges nonzero existential risks from a malicious or misaligned ASI — likening the risk calculus to that faced after nuclear weapons — but concludes that risk management and continued acceleration should coexist. For the AI/ML community this reframes priorities toward robust, long-term governance, engineering practices for safe iterative scaling, and strategic planning rather than paralysis by a mythical tipping point.