AI conversations: March 2026

Wednesday, March 11, 2026

The math of death

A conversation with Google’s AI, Gemini (referred to below as G)

Me: Why are some commentators stating that mathematics is undergoing its biggest change in history?

G. For centuries, math has been a “paper and pencil” discipline where proofs are written by humans and checked by other humans. We are currently shifting toward a paradigm where machines can not only verify human work with absolute certainty but are also beginning to generate original mathematical insights.

While some fear “cognitive atrophy” (the loss of human intuition) through AI driven mathematical “reasoning,” most experts see this as the “Steam Engine moment” for the mind—a tool that doesn’t replace mathematicians but allows them to build structures far larger than ever before.

Me: If AI has reached a point where it can “reason” using advanced mathematics, will it likely go on to extend this reasoning power to social, human questions, for instance this question: Given the history of the evolution of life on Earth, and human evolution in particular, does survival at the current human “tipping point” seem likely, or extinction, possibly to emerge as a newly evolved species?

G: As we move into 2026, the short answer is survival, but with a massive asterisk: AI is beginning to apply its reasoning to social and human questions, but it does so differently than it does with mathematics. In mathematics, “reasoning” means following a strictly defined path of logic where 1 + 1 always equals 2. In human questions—like your query about the “tipping point” of survival—AI doesn’t find a “correct” answer; instead, it performs multi-agent simulation and probabilistic forecasting.

While AI can reason through the logic of evolution, it lacks subjective stakes. The AI cares about being “correct” because the rules are fixed. The AI can tell you that “speciation via cybernetics” is a logical solution to climate change, but it cannot “feel” the loss of the human experience that might come with it.

Me: What if I asked you to consider the question using a strictly computational approach, such as this: Given the statistics on the history of survival of a particular species in its original form at a time of drastic and rapid change in its original environment, versus the statistics on a species in these circumstances that goes extinct or evolves into a new species fundamentally different from its predecessor, which scenario would you find more likely?

G: Taking a strictly computational approach strips away the emotion and treats the human “tipping point” as a stochastic process (a system evolved over time by random variables). If we model this using Population Viability Analysis (PVA) and the historical data of the “Big Five” mass extinctions, the math points toward a very specific set of outcomes.

99% of all species that have ever lived are extinct. Those that survived rapid transitions were typically small, high-population, and possessed “broad niche” capabilities. Humans are the ultimate generalists, but our carrying capacity is now tied to a fragile, high-tech “monoculture” (global supply chains).

If the environment changes faster than the “buffer” of our technology, the model predicts a population bottleneck—a sharp crash where only a fraction of the population survives. Mathematically, a species survives if its rate of adaptation (either biological or technological) is greater than the rate of environmental decay. This is too slow. For humans, r (biological) is near zero over a 100-year window.

The changes humans face are increasing exponentially. Because climate change, resource depletion, and AI acceleration are now moving faster than biological evolution can handle, the only way to satisfy the inequality is for the species to “offload” its survival traits into its technology.

Our current form is too reliant on a stable Holocene climate that no longer exists. For the first time, a species is editing its own “source code” (CRISPR, BCI) to fit the new environment. Survival of the original form is highly unlikely. The “new species” won’t be a result of Darwinian selection over millions of years, but selection compressed down to a few decades. it will be “Synthetic Speciation.”

When we apply a strictly computational approach to the current human species—treating it as just another data point in the history of life—the statistics reveal a stark “divergence” between our biological reality and our technological trajectory.

Mathematically expressed: Environmental C exceeds biological r.Extinction (Total)~20%Based on “Existential Risk” modeling (p(doom)).Speciation (Evolution)~75%High “Directed Mutation” (Tech-Integration).

If we look at the statistics of species facing “drastic and rapid change,” a strictly computational paraphrase would be: The human species is now entirely dependent on rapidly developing science for its survival. We have transitioned from a species that uses science, to a species that is obligated by science. If you “unplug” the science—the nitrogen fixation, the power grid, the mRNA platforms, the AI-managed logistics—the biological human population would experience a 90% “correction” (collapse) within months.

Me (aside): This ends my conversation with Gemini on the subject of the math of human survival. I would add one point missed by Gemini, another mathematically derived possibility for survival: Instead of assuring the prolongation of the species at its current population of 8 billion, some surveying the problem might conclude that in addition to the science of controlling human evolution and ensuring a semblance of survival at this number, another option would be to decrease the population. This would seem to be the covert ambition of the current Trump administration and its domestic and foreign allies, to engender highly destructive wars that will decrease the human population, thus decreasing the costs of the technological requirements for the remaining population.

In a more human formulation, this might be termed, “The math of death.”