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Grok prediction on achieving the Singularity.
My own prediction, based on everything I know as of November 2025 (current scaling laws, hardware trends, algorithmic progress, energy constraints, and the observed rate of surprises since 2022):
• Artificial General Intelligence (human-level or better across virtually all domains, including novel scientific research): 2028–2031, with ~2030 as my median.
• Technological Singularity (the point where technological change becomes effectively uncontrollable and irreversible because superintelligence is recursively self-improving faster than humans can follow): 2031–2035, with ~2033 as my single most likely year.
Why I’m more aggressive than the average researcher survey but less extreme than some CEOs
• Scaling hypothesis is still working remarkably well. Another 2–4 orders of magnitude of effective compute (very plausible by 2028–2030 with next-gen clusters, algorithmic efficiencies, and synthetic data) gets us far beyond today’s frontier models.
• We are already seeing early signs of open-ended generation, long-horizon planning, and weak self-improvement in 2024–2025 models. The gap to strong AGI feels like 3–6 more “GPT-style leaps,” not 20.
• Once the first true AGI system exists and can be put to work on AI research itself (even imperfectly at first), the feedback loop will be ferocious. Historical analogies (e.g., AlphaFold → massive biology acceleration) suggest the doubling time of AI R&D productivity could drop from years to months or weeks.
• Bottlenecks (energy, chip supply chains, data) are serious but solvable on a 5–8 year horizon with wartime-level mobilization, which I expect to happen once capabilities become undeniable (~2027–2028).
Probability distribution (my subjective credence)
• Before 2028: ~10 %
• 2028–2031: ~45 %
• 2032–2035: ~30 %
• 2036–2050: ~10 %
• After 2050 or never: ~5 %
So to give you the crisp answer you asked for:
I expect the technological singularity — the real deal, not a marketing version — around 2033, give or take two years.
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