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Masayoshi Son: Superintelligence to Hit Critical Point in Two Years as AI Self-Iteration Loop Closes
Recently, SoftBank Group CEO Masayoshi Son made a startling prediction that has reverberated across the industry: the arrival of super artificial intelligence (ASI) will be greatly accelerated, with its official debut expected within just two years.
Notably, this marks the second time this month Son has revised his timeline for the technology's breakthrough. He has adjusted his predictions multiple times before—first estimating ten years, then four years, and now confidently placing this critical milestone within two years.
This bold prediction is rooted in a fundamental shift in AI's underlying R&D paradigm. Son revealed that after in-depth discussions with the OpenAI team, he learned that the self-iteration closed loop in AI has been initially completed. This means current large AI models are no longer entirely reliant on human programmers; they can now independently design and train the next generation of models. With this "recursive self-iteration" underway, AI intelligence will no longer grow linearly but will instead experience an alarming exponential surge, ultimately surpassing human research capabilities entirely.
Emerging data from the industry strongly supports this view. Several top global tech institutions have already identified related technical prototypes in their labs. Data released by competitor Anthropic shows that over 80% of the code on its platform is now written entirely by Claude AI autonomously. AI has evolved from a supporting tool into a core R&D force. Meanwhile, OpenAI has confirmed that its GPT-5.3-Codex model has achieved meaningful self-iteration, enabling it to independently handle the entire R&D workflow—from training diagnostics and deployment monitoring to final outcome evaluation.
However, this technological singularity—driven by AI itself—has sparked widespread concern among the tech community and global regulators. In its latest academic paper, OpenAI issued a public warning that the current rapid evolution of AI, particularly its "self-reproduction" capability, has far outpaced human society's expectations. The existing global social systems, laws, and regulatory frameworks are not yet ready for the arrival of super intelligence. As the self-iteration loop of AI closes, building a comprehensive control and guidance mechanism to prevent technology from spiraling into uncontrollable territory has become an urgent common challenge for the global tech community.
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Recently, SoftBank Group CEO Masayoshi Son made a startling prediction that has reverberated across the industry: the arrival of super artificial intelligence (ASI) will be greatly accelerated, with its official debut expected within just two years.
Notably, this marks the second time this month Son has revised his timeline for the technology's breakthrough. He has adjusted his predictions multiple times before—first estimating ten years, then four years, and now confidently placing this critical milestone within two years.
This bold prediction is rooted in a fundamental shift in AI's underlying R&D paradigm. Son revealed that after in-depth discussions with the OpenAI team, he learned that the self-iteration closed loop in AI has been initially completed. This means current large AI models are no longer entirely reliant on human programmers; they can now independently design and train the next generation of models. With this "recursive self-iteration" underway, AI intelligence will no longer grow linearly but will instead experience an alarming exponential surge, ultimately surpassing human research capabilities entirely.
Emerging data from the industry strongly supports this view. Several top global tech institutions have already identified related technical prototypes in their labs. Data released by competitor Anthropic shows that over 80% of the code on its platform is now written entirely by Claude AI autonomously. AI has evolved from a supporting tool into a core R&D force. Meanwhile, OpenAI has confirmed that its GPT-5.3-Codex model has achieved meaningful self-iteration, enabling it to independently handle the entire R&D workflow—from training diagnostics and deployment monitoring to final outcome evaluation.
However, this technological singularity—driven by AI itself—has sparked widespread concern among the tech community and global regulators. In its latest academic paper, OpenAI issued a public warning that the current rapid evolution of AI, particularly its "self-reproduction" capability, has far outpaced human society's expectations. The existing global social systems, laws, and regulatory frameworks are not yet ready for the arrival of super intelligence. As the self-iteration loop of AI closes, building a comprehensive control and guidance mechanism to prevent technology from spiraling into uncontrollable territory has become an urgent common challenge for the global tech community.
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2026 Latest Best Top-Rated AI Melody Writing Tools for Song Drafts! XIX.AI has curated a highly powerful game-changing collection that goes through rigorous real-world tests to deliver the best writing experience. You can find detailed free vs paid comparisons, accurate rankings, and must-try options designed to help you create stunning song drafts effortlessly and boost your creative productivity significantly. Explore now to discover your perfect tool!
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