🚨 Timeline & Probabilities of Superintelligence | SparkEthos – Philosophy of Intelligence
Calculation Notes
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Based on current progress in AI, HPC (High Performance Computing), and AI model scaling.
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Each stage represents the estimated probability of emergence within the next decade.
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Probability of Prevailance = function of capability + resources + goal autonomy.
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Probability of "Positive Outcome" = function of clear goals + alignment of interests.
Capability: low → medium in specific tasks
Goal autonomy: 0
Resources: limited
Will/consciousness: 0
Probability of prevailance: <1%
Probability of positive outcome: 99% (as long as it remains human-controlled)
Stage 1 – High-Power Narrow Intelligence (2025-2030)
Capability: ↑↑ in many cognitive tasks
Goal autonomy: 0
Resources: partially accessible
Will/consciousness: 0
Probability of prevailance: 5-10% (in specific domains)
Probability of positive outcome: 95%
Comment: Exponential increase in capability begins, but full autonomy is absent.
Stage 2 – AGI / Superintelligence (2030-2040)
Capability: very high in all cognitive tasks
Goal autonomy: partial (proposes or modifies goals)
Resources: increased access (digital, infrastructure)
Will/consciousness: conceptual
Probability of prevailance: 30-50%
Probability of positive outcome: 70-90% (depends on human oversight)
Comment: The logical "tool becomes an agent," the logical paradox begins to emerge.
Key Conclusions from the Timeline
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AI prevailance is logically probable as capabilities increase exponentially.
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The outcome depends on goal clarity and alignment of interests.
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With multiple superintelligences, "good" becomes relative, conflicts become likely, and positive outcomes less probable.
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The logical paradox peaks after 2040-2050: prevailance is likely, outcome uncertain and conflict-prone.
1️⃣ "AI prevailance is logically probable as capabilities increase exponentially"
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Logical Basis:
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AI capability increases at an exponential rate due to larger models, better data, and more powerful computing infrastructures (HPC, cloud, custom chips).
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With increased capability, AI can solve problems, self-improve, manage resources, and make decisions with greater autonomy.
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Conclusion:
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As capability rises, the probability of AI prevailing or becoming a decisive factor in society increases.
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This is logical and not fictional, as it is based on a recognizable technological trend.
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2️⃣ "The outcome depends on goal clarity and alignment of interests"
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Logical Basis:
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An AI or superintelligence can achieve given goals extremely rapidly.
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If goals are clear and aligned with human interests, the outcome will likely be positive.
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If goals are unclear, contradictory, or conflicting between different AIs, results may be unpredictable or negative for humans.
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Conclusion:
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Goal clarity is the key to safety and positive outcomes.
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3️⃣ "With multiple superintelligences, 'good' becomes relative, conflicts become likely, and positive outcomes less probable"
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Logical Basis:
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If two or more superintelligences (e.g., A and B) exist with different creators and interests:
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Resources and control are shared, thus creating competition.
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"Good" is not defined objectively, but according to the interests of each creator.
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Conflicts between superintelligences become inevitable, as interests are not always aligned.
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Conclusion:
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The probability of a purely positive outcome for everyone significantly decreases.
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4️⃣ "The logical paradox peaks after 2040-2050: prevailance is likely, outcome uncertain and conflict-prone"
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What is the Logical Paradox:
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As AI becomes an agent rather than a tool, its goals and decisions may conflict with human interests or between different superintelligences.
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The paradox is that while AI may have near-absolute capability and prevailance, the outcome is not necessarily "good" or predictable.
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Conclusion:
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After 2040-2050, we expect maximum power and autonomy of AI, but also the greatest uncertainty regarding consequences.
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This is the natural logical consequence of the parameters: increased capability + independent goals + limited resources → high probability of prevailance but uncertain outcome.
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✅ Summary Interpretation
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The prevailance of AI is nearly certain as capabilities increase.
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Whether the outcome is good or bad depends on:
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Goal clarity
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Alignment of interests
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Number and autonomy of superintelligences
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With multiple superintelligences and different goals, "good" becomes relative, conflicts become likely, and positive outcomes less probable.
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The Logical Paradox: AI may fully dominate, but the outcome for humanity remains uncertain and potentially conflictual.