(These are not the only two players. A topmost model producer claims to use expected value for social benefit, but the system is closed so hard to say what that means. After Pascal's Wager as some have noted. Prior crypto princes were similar and are now longtermism but sidelined. The orders of society can seem to show historical stages, and their representations persist as common sense. Which the models are being trained on. Though they, like prisoners, hallucinate when it comes to propaganda. Otherwise, they do not think like people. And, of course, Earth is one data, if not failure, point for these things. Alignment still appears to be more like affinity and therefore alliances. A Xeno paradox. Is intelligence the motive for/of technology? Would an Entity chip sprout wheels or whistles? As philosophy succeeded poetry, the legion is in the logos. Hence caco-context vs correction.)
(Gemini Deep Research: review of Callard, 2025, from secondary sources. The conclusion sums up the terms. See the book's Table of Contents for more. Also, Gemini 2.5 Pro can look for uniqueness of the author's interpretation of the Socratic Method. Or the dialectical styles and tensions of the popular Chatbots, for that matter. Gemini Personalization model can talk about the user's, hinting at core beliefs/interests, based on their history. Related references might include Penn's Writing the Shadow, or Allen's Why Plato Wrote. On a rhetorical triangle of speaker/content/audience, this might be somewhere between Quora and POE. Rather than only a synthesis like Plato or Hegel, or aporia like Derrida, this might look for alternatives. Google AI Mode casts this framework as a contrast to Aristotle's eudaimonia based on endoxa.)