Chamath Palihapitiya has stated that AI has entered a recursive self-improvement loop and will be "extremely intense" over the next 18 months, according to ABAB News. He anchors current progress to the classic singularity argument, from human-designed AGI to AGI dominating AI research, leading to exponentially recursive capabilities. This marks the first time a leading tech investor has explicitly announced that "we have entered the loop." Capital flow is shifting from "training the next model" to "having models participate in designing the next model," as automating AI research removes the human R&D bottleneck, making capability growth dependent on computing power and algorithm search efficiency rather than talent supply. The judgment that marginal costs are approaching zero points to continuous exponential improvements in reasoning and training efficiency. The industry is in a transitional phase where "humans still dominate direction, but AI is deeply involved in acceleration." The mechanism is that when AI's performance on AI research tasks exceeds the human average, the dominance of the improvement loop shifts, and subsequent capability growth no longer linearly depends on human workload. The report lists three cognitive laws: when AI starts improving AI, the time scale is permanently changed; the day marginal costs approach zero is the true starting point of capability explosion; and the singularity is not a future event, but a loop that has been announced as entered.