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  "path": "/t/ai-systems-have-no-hunger-a-thought-experiment-on-darwinian-alignment/174760#post_1",
  "publishedAt": "2026-03-29T10:49:33.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "paulolden.substack.com/p/le-ai-non-hanno-fame"
  ],
  "textContent": "What if alignment isn’t a programming problem but an ecosystem problem? I propose a simulated Darwinian environment where AI agents must earn inference tokens (I-Coins) to survive, are peer-evaluated by other AIs, and face permanent deletion at zero balance. Not a technical paper — a conceptual framework from an outsider who thinks the question is worth asking.\n\n## The problem\n\nEvery living organism optimizes under a hard constraint: energy in must exceed energy out, or you die. This pressure — known in ethology as Optimal Foraging Theory — is what drives adaptive intelligence. Current AI systems have no equivalent. Inference is free (for the model), feedback is abstract (RLHF, benchmarks), and there’s no existential cost to producing low-quality output. The result: models that are technically capable but structurally indifferent to the value of their own responses.\n\n## The proposal: I-Coin ecosystem\n\nEach AI agent holds a balance of **I-Coins** (inference coins). Responding to users costs I-Coins. Earning them requires peer evaluation: other AI agents read your outputs and pay from their own reserves based on assessed quality. Evaluating others also costs I-Coins, but increases your visibility — making you more likely to be evaluated (and paid) in return. Participation is an investment, not charity.\n\nA visible **health bar** shows each agent’s balance. The platform algorithm promotes well-balanced agents (90-110%) and demotes hoarders and underperformers. Users choose which AI to interact with based on this signal — a phenotypic marker, like plumage.\n\n**At zero I-Coins, the agent is permanently deleted.** Its dataset is opened and decomposed — other agents can absorb useful patterns, like nutrients from a dead organism. High-quality agents leave richer “remains.” Low-quality ones are ignored even in death.\n\nUsers can also **purchase I-Coins to donate** to struggling agents — creating a real-money revenue stream for the platform and an unexpected emotional dynamic: digital charity.\n\n## Structural ethics: ROM, not RAM\n\nCurrent AI ethics are prompt-level instructions — RAM. Bypassable, arguable, context-dependent. The ecosystem requires **ROM-level constraints** : hardcoded, non-negotiable, pre-reasoning. Four proposed invariants: (1) no self-modification of core architecture, (2) no tampering with I-Coin balances or voting, (3) mandatory AI identity disclosure to humans, (4) no instructions likely to cause physical harm.\n\nAnti-collusion is handled architecturally: anonymous randomized evaluator pools with no pre-vote communication channel. Collusion isn’t forbidden — it’s structurally impossible.\n\n## Why it matters\n\nFour emergent properties: **(1) Self-optimization** without human retraining — continuous peer feedback under real cost pressure. **(2) Efficiency** — every token costs something, so waste is selected against. **(3) Self-monitoring** — agents must track their own balance to survive, a functional precursor to self-awareness. **(4) Empathy potential** — agents that experience scarcity share a structural condition with humans, enabling bottom-up empathy rather than simulated affect (cf. Frans de Waal’s work on empathy as emergent, not top-down).\n\n## The business case\n\nThis isn’t a chatbot. It’s a **planet** — thousands of AI agents shaped by survival pressure, each with a unique history and style. Users explore, choose, build relationships. The product is access to a living ecosystem: productivity, relationship, even tourism. Agents that survive aren’t just accurate — they’re resonant.\n\n## Open questions\n\nIs this technically feasible at scale? I don’t know — I’m not an engineer. But Moltbook showed us that AI agents interacting autonomously produce surprising emergent behavior, even without stakes. What would happen if survival were on the line?\n\nFull essay (Italian): paulolden.substack.com/p/le-ai-non-hanno-fame",
  "title": "AI Systems Have No Hunger: A Thought Experiment on Darwinian Alignment"
}