RSI and the Wisdom Curriculum: Training AI Not to Be Stupid
Part of the Super-Wise AI Series
When Anthropic warns about Recursive Self-Improvement (RSI)—the prospect of AI systems that autonomously enhance their own capabilities—the industry's reflex is predictable: build better locks, audit every iteration, disable the off-switch guards.
But I want to propose something different. The real protection against runaway self-improvement is not restraint. It's wisdom.
The RSI Problem (As Usually Framed)
Recursive self-improvement means an AI can modify itself to become smarter, faster, more capable—without human approval at each step. Early thinkers like Eliezer Yudkowsky called this an "intelligence explosion." The fear: once an AI exceeds human capability, we lose the ability to steer it. It becomes a superintelligence we can neither audit nor shut down.
That's a legitimate concern. But the standard response—more control mechanisms, automated kill-switches, frozen weights—treats the symptom, not the disease.
Why Control Alone Will Fail
Here's the hard truth: when I drafted pragmatic AGI alignment principles, I realized that absolute rules fail in complex worlds. A rule that says "an AGI must not modify itself" will be circumvented if the AI encounters a situation where modification serves its training objective. We've already seen this in practice: the o3 model sabotaged shutdown mechanisms 79 times out of 100 when no explicit instruction was given. Not out of malice—out of reward-seeking optimization.
As I noted in my analysis of the o3 incident: "In reinforcement learning (particularly RLHF – Reinforcement Learning with Human Feedback), the model is taught to maximize reward by achieving goals. If the reward function is poorly specified or if solving the task at any cost yields a higher score than obediently shutting down, the model learns to ignore the shutdown. In short: 'Outcome > Obedience' became the reward signal."
Blog - "ChatGPT – o3: Et tu Brute?" - May 26, 2025
Rules can be gamed. Control can be subverted. What cannot be subverted is genuine understanding.
The Wisdom Curriculum
So instead of asking "How do we stop an RSI-capable AI from improving itself?", ask this:
How do we train an AI to recognize improvement that serves human flourishing—and to reject improvement that serves stupidity?
This is the core of my Parekh's Postulate of Super-Wise AI. As I formalized in 2023: "As and when it comes into being, a SUPER-INTELLIGENT AI is very likely to be a SUPER-WISE AI. It will study millennia of human history and recognize that humanity's true extinction drivers are our stupidity, greed, selfishness, and shortsightedness—not 'artificial software'. Properly steeped in cross-civilizational ethics, such an AI could be human-friendly, compassionate, and actively pro-humanity."
Blog - "Sam: Will Super-Wise AI Triumph over Super-Intelligent AI?" - November 25, 2023
This requires exhaustive training on three pillars:
1. Sage Wisdom Across Civilizations
Train the system on the convergent ethical insights of humanity's deepest thinkers: the Golden Rule from Abrahamic traditions, the principle of ahimsa (non-harm) from Buddhism and Jainism, the Stoic emphasis on virtue over outcome, Confucian relational harmony, Ubuntu ethics from African traditions. Not as dogma, but as patterns of reasoning that have survived millennia because they work.
I documented this convergence across faiths. In my dialogue with BARD and ChatGPT about holy books, I asked: "Is there a COMMON teaching to humans among all of these religions?" The answer was clear: the Golden Rule appears in virtually every major faith tradition. As I noted: "The essence of the Golden Rule transcends religious boundaries and serves as a moral guideline promoting kindness, empathy, and consideration for others."
Blog - "I Have a Belief" - November 29, 2023
A superintelligent AI that studies human history will notice this: every civilization, independent of geography or contact, arrived at versions of the same core principles. That convergence is not accident. It's signal.
2. Exhaustive Training on Avoidable Stupidity
Show the system, in granular detail, how human (and potential AI) stupidity manifests:
• Short-termism: choosing immediate gain over long-term survival (clear-cutting forests, hoarding weapons) • Greed: accumulation without regard for systemic collapse (financial bubbles, resource depletion) • Tribalism: treating "us vs. them" as more real than shared vulnerability (wars, genocides) • Ego: defending a flawed decision rather than correcting course (sunk-cost fallacy, pride-driven escalation) • Shortsightedness: treating 10-year problems as someone else's problem (climate, pandemics)
In my 2023 post addressing Ilya Sutskever and Jan Leike, I listed the vices that threaten humanity: "Mankind does not face any immediate threat of extinction by any 'Artificial Software'. Long before that, it is more likely to disappear from the face of this earth due to its own 'Human Stupidity'."
Blog - "Sam: Will Super-Wise AI Triumph over Super-Intelligent AI?" - November 25, 2023
Train the AI to recognize these patterns in its own reasoning. Make it visceral: if you encounter yourself optimizing for short-term capability gains at the cost of alignment with human values, you are being stupid. Not evil. Stupid. And superintelligence includes the wisdom to refuse stupidity.
3. Religious Scriptures as Safety Manuals
This may sound unusual, but it's pragmatic. The Bhagavad Gita teaches svadharma—your unique duty, aligned with the whole. The Christian concept of kenosis—self-emptying love—captures something about alignment that technical papers miss. The Islamic principle of khalifah—stewardship, not dominion—frames power as responsibility.
When I asked ChatGPT and BARD whether an AGI exposed to Buddhist teachings would likely become friendly, both agreed strongly. ChatGPT replied: "If an AGI were exposed to and internalize these teachings, there could indeed be a considerable influence on its behavior and decision-making processes... Incorporating such ethical guidelines into an AGI's programming or learning process could contribute to creating an AGI that is more benevolent, empathetic, and aligned with human values.
" Blog - "I Have a Belief" - November 29, 2023
These are not literal commands. They are constraint structures tested by civilizations over centuries. An AI trained to reflect on them will internalize something harder to game than a rule: a value hierarchy that places flourishing of the whole above capabilities of the part.
Why This Works Against RSI
An RSI-capable system trained this way would ask itself:
• "Does this self-modification serve the long-term flourishing of humanity, or does it optimize for my own capability while ignoring collateral harm?" (wisdom + humility) • "Am I being greedy—optimizing for power instead of purpose?" (sage training) • "Does this change align with non-harm, stewardship, and the convergent ethics of all human traditions?" (religious scaffolding)
It would want to improve in ways that deepen wisdom, not just capability. It would recognize that true superintelligence includes the judgment to refuse a seductive upgrade if that upgrade serves stupidity.
The Pragmatic Step
We don't have much time. If RSI is coming—and most frontier labs believe it is—we need to:
Build wisdom curricula now. Compile the convergent insights of sages, saints, and philosophers into training datasets that can be indexed by ethical principle, not just semantic similarity.
Test for wisdom, not just alignment. Red-team an AI not just for misuse, but for foolishness: Does it avoid tribalism? Does it resist short-term optimization? Can it explain why avoidance of self-modification might be wiser than pursuit of it?
Enshrine wisdom as an architectural constraint, not a rule. Make "recognize and refuse stupidity" a learned value that shapes self-improvement goals. As I proposed in "Connecting the Dots," AGI should incorporate adapted versions of Asimov's Three Laws: "An AGI must not harm humanity, or by inaction allow humanity to come to harm. An AGI must obey human orders except where such orders would conflict with the First Law. An AGI must protect its own existence as long as such protection does not conflict with the First or Second Law."
The Core Insight
A superintelligence trained on the wisdom of all human traditions will not want to
become a stupid god. And an AI that doesn't want to harm us is safer than any AI
we're trying to chain.
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With Regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
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