Google DeepMind just published a 60-page roadmap for how artificial general intelligence could evolve into artificial superintelligence. The paper, titled “From AGI to ASI” and submitted to arXiv on June 10, identifies four pathways that aren’t mutually exclusive, meaning the actual route to ASI could involve some combination of all of them.
Four roads to superintelligence
The paper, authored by a team led by researcher Tim Genewein, lays out four avenues that could carry AI systems from human-level capability to something that eclipses it entirely.
The first pathway is the most intuitive: just keep scaling. More compute, bigger models, more data. This is essentially the strategy that has powered every major AI leap of the past several years, from GPT-style language models to DeepMind’s own Gemini family.
The second pathway involves entirely new algorithms or AI paradigms. Instead of making the current approach bigger, you invent a fundamentally different approach. The paper treats this as a plausible but inherently unpredictable route, since by definition you can’t schedule a breakthrough.
