Home
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.
Related article
Swedish AI Startup Lovable Eyes $13.2 Billion Valuation After Major Funding Round
As AI-driven coding tools gain traction, Swedish startup Lovable has secured a major funding round. The company aims to raise $3 billion, potentially boosting its valuation to $13.2 billion—double the $6.6 billion recorded last December. Menlo Ventur
Google Tests Remy AI Agent for Gemini as Focus Shifts to User Control
According to Business Insider, Google is testing Remy, a new AI personal agent for Gemini. This tool aims to execute tasks on behalf of users, streamlining both professional workflows and daily routines.Currently, Remy is undergoing testing in an int
How to fix Core Web Vitals for better SEO rankings
Streamline Report Card Comments with AI ToolsIntroductionAI Tools for Generating Report Card CommentsMagic SchoolAlmanac AIChat GPTUsing Magic School to Generate Report Card CommentsLogging into Magic SchoolSelecting the Report Card Comments ToolCust
Related Special Topic Recommendations
Comments (0)
0/500

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.
Swedish AI Startup Lovable Eyes $13.2 Billion Valuation After Major Funding Round
As AI-driven coding tools gain traction, Swedish startup Lovable has secured a major funding round. The company aims to raise $3 billion, potentially boosting its valuation to $13.2 billion—double the $6.6 billion recorded last December. Menlo Ventur
How to fix Core Web Vitals for better SEO rankings
Streamline Report Card Comments with AI ToolsIntroductionAI Tools for Generating Report Card CommentsMagic SchoolAlmanac AIChat GPTUsing Magic School to Generate Report Card CommentsLogging into Magic SchoolSelecting the Report Card Comments ToolCust











