Chen Tianqiao Returns After Nine Years, Investing $2B in Discovery-Driven AI

From Gaming Mogul to Consciousness Pioneer: The Return of a Former Billionaire
After nine years of retirement, Shanda Group founder Chen Tianqiao gave his first international media interview in March 2026. Once the youngest Chinese billionaire and gaming industry titan at age 31, he is now redefining his legacy from a California residence. His focus has shifted from virtual gaming triumphs to solving a far more complex challenge: decoding the source code of human consciousness.
Chen is currently developing an AI system designed to surpass human intelligence, with the ultimate goal of achieving Artificial General Intelligence (AGI). He humorously suggested that future historical eras might be defined not by religious calendars, but by the advent of ChatGPT, marking a clear "Before" and "After" in technological history.
Defining "Discovery AI": A New Strategic Approach
Leveraging his accumulated wealth, Chen has committed over $2 billion to AI research. He introduced a distinct concept called "Discovery AI", which diverges from mainstream Large Language Models (LLMs):
Beyond Imitation: Unlike current models that primarily replicate human-generated content, Discovery AI is engineered to perform tasks beyond human capability.
Logical Reasoning Loop: By combining long-term memory, causal reasoning, and predictive modeling, this technology seeks to uncover new knowledge and forecast complex real-world events, including natural disasters and geopolitical shifts.
Practical Applications: This AGI-level technology holds potential for discovering new pharmaceuticals and enabling smarter investment strategies on prediction platforms like Polymarket.
Energy Infrastructure: Converting 700,000 Acres of Forest into a Geothermal Data Hub
To meet the immense computational demands of AI research, Chen unveiled a strategic plan involving approximately 700,000 acres of forest land (acquired in 2018 across Oregon and Ontario):
Sustainable Energy Source: The initiative utilizes geothermal energy to power computing centers, ensuring a stable and green energy supply for data operations.
Global Collaboration: With an investment of $300 million to $500 million, Chen plans to construct pilot facilities and make them accessible to AI researchers worldwide.
Financial Stability: Addressing concerns about profitability, Chen remains confident, stating, "I have sufficient funds; immediate profitability is not a priority."
Industry Perspective: AI Is Not a Bubble; Collaboration Is Key
Chen firmly dismissed the notion of an "AI bubble." He argues that creating intelligence surpassing human capabilities is fundamentally different from previous technological trends, making the bubble theory invalid.
On the geopolitical rivalry between the U.S. and China in AI, Chen declined to pick a side. He likened the competition to a football game: "I pass the ball to whoever is closest to the goal; scoring is what matters. In AI, the U.S. and China should be teammates."
Interdisciplinary Fusion: Merging Brain-Computer Interfaces with Cognitive Science
Beyond software, Chen remains a significant investor in Brain-Computer Interface (BCI) technology, having previously allocated $1 billion to brain research. He asserts that AI advancements should focus on cognitive architecture leaps rather than just computing power. As we enter the third year post-ChatGPT, Chen aims to accelerate the path to AGI by integrating neuroscience with computer science.
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From Gaming Mogul to Consciousness Pioneer: The Return of a Former Billionaire
After nine years of retirement, Shanda Group founder Chen Tianqiao gave his first international media interview in March 2026. Once the youngest Chinese billionaire and gaming industry titan at age 31, he is now redefining his legacy from a California residence. His focus has shifted from virtual gaming triumphs to solving a far more complex challenge: decoding the source code of human consciousness.
Chen is currently developing an AI system designed to surpass human intelligence, with the ultimate goal of achieving Artificial General Intelligence (AGI). He humorously suggested that future historical eras might be defined not by religious calendars, but by the advent of ChatGPT, marking a clear "Before" and "After" in technological history.
Defining "Discovery AI": A New Strategic Approach
Leveraging his accumulated wealth, Chen has committed over $2 billion to AI research. He introduced a distinct concept called "Discovery AI", which diverges from mainstream Large Language Models (LLMs):
Beyond Imitation: Unlike current models that primarily replicate human-generated content, Discovery AI is engineered to perform tasks beyond human capability.
Logical Reasoning Loop: By combining long-term memory, causal reasoning, and predictive modeling, this technology seeks to uncover new knowledge and forecast complex real-world events, including natural disasters and geopolitical shifts.
Practical Applications: This AGI-level technology holds potential for discovering new pharmaceuticals and enabling smarter investment strategies on prediction platforms like Polymarket.
Energy Infrastructure: Converting 700,000 Acres of Forest into a Geothermal Data Hub
To meet the immense computational demands of AI research, Chen unveiled a strategic plan involving approximately 700,000 acres of forest land (acquired in 2018 across Oregon and Ontario):
Sustainable Energy Source: The initiative utilizes geothermal energy to power computing centers, ensuring a stable and green energy supply for data operations.
Global Collaboration: With an investment of $300 million to $500 million, Chen plans to construct pilot facilities and make them accessible to AI researchers worldwide.
Financial Stability: Addressing concerns about profitability, Chen remains confident, stating, "I have sufficient funds; immediate profitability is not a priority."
Industry Perspective: AI Is Not a Bubble; Collaboration Is Key
Chen firmly dismissed the notion of an "AI bubble." He argues that creating intelligence surpassing human capabilities is fundamentally different from previous technological trends, making the bubble theory invalid.
On the geopolitical rivalry between the U.S. and China in AI, Chen declined to pick a side. He likened the competition to a football game: "I pass the ball to whoever is closest to the goal; scoring is what matters. In AI, the U.S. and China should be teammates."
Interdisciplinary Fusion: Merging Brain-Computer Interfaces with Cognitive Science
Beyond software, Chen remains a significant investor in Brain-Computer Interface (BCI) technology, having previously allocated $1 billion to brain research. He asserts that AI advancements should focus on cognitive architecture leaps rather than just computing power. As we enter the third year post-ChatGPT, Chen aims to accelerate the path to AGI by integrating neuroscience with computer science.
Qwen-Audio-3.0-TTS: Qwen's Large Voice Synthesis Model Cuts First Packet Delay to 300ms
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Anthropic’s update to Claude’s memory system removes a major friction point in using AI agents: the repetitive need to re-explain context that the AI already retains. By merging the memory architectures of standard chat and Claude Cowork, Claude now
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