Singolarità makes case for AI singularity

Hot take: this works best as a persuasion piece, not a forecast. It gives skeptics a clean story about how complexity ratchets upward, but the leap from "models are getting better" to "the singularity is inevitable" is still the part most likely to crack.

• –The historical ladder from physics to biology to language to AI is the essay's strongest move; it turns an abstract thesis into a narrative people can follow.
• –The modern evidence is concrete enough to matter: it cites current forecasts, compute growth, and systems like AlphaFold, AlphaEvolve, Gemma C2S, and GNoME.
• –The weakest assumption is continuity. Benchmarks and spending trends show acceleration, but they do not by themselves prove recursive self-improvement or an uncontested march to the last star.
• –The human-Claude co-authorship is a neat meta twist: the article is arguing for machine intelligence while also serving as an example of machine-assisted authorship.
• –The interactive charts and source hovers are doing real work because this kind of argument lives or dies on whether readers can inspect each step.