HomeMoon Palace Founder Predicts AI Will Lead Future Research
In the field of AI, we are at a major turning point. At the 2026 Zhongguancun Forum Annual Meeting, Moonshot AI founder Yang Zhilin shared a compelling insight: starting this year, the AI research paradigm will shift fundamentally. AI will no longer serve merely as a human assistant but will increasingly take the lead in scientific discovery.
Research "Digital Twin": Every Researcher Backed by a Trove of Tokens
Yang Zhilin noted that future scientific competition will become a deep integration of "computing resources" and "innovative thinking." Under this new R&D framework:
Task Synthesis: Every human researcher will be assigned a vast number of AI tokens (word elements). These "digital laborers" can automatically generate new experimental tasks and simulation environments.
Autonomous Exploration: AI will handle advanced tasks like defining reward functions and exploring novel network architectures. This means humans simply set the final objective, and AI can run tens of thousands of iterations in virtual labs to identify the optimal solution.
R&D Accelerator: This AI-driven closed-loop R&D model will compress technology iteration cycles from "months" to "days" or even "hours."
As a distinguished Tsinghua graduate and former Google Brain researcher, Yang Zhilin has steered Moonshot AI to remarkable growth milestones.
Within just over two years of founding, the company's valuation has surpassed $10 billion, making it one of the most closely watched AI unicorns worldwide. Its growth rate even outpaced that of Pinduoduo and ByteDance during the same period. This dual endorsement from investors and the market reflects ongoing breakthroughs in long-text processing and foundational large-model technologies.
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Comments (1)
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![ThomasJones]()
Interesting take, but isn't it a bit self-serving for a founder to claim AI will lead research? 🤔 I'd love to see actual evidence of this paradigm shift, not just hype from someone who profits from it.
In the field of AI, we are at a major turning point. At the 2026 Zhongguancun Forum Annual Meeting, Moonshot AI founder Yang Zhilin shared a compelling insight: starting this year, the AI research paradigm will shift fundamentally. AI will no longer serve merely as a human assistant but will increasingly take the lead in scientific discovery.
Research "Digital Twin": Every Researcher Backed by a Trove of Tokens
Yang Zhilin noted that future scientific competition will become a deep integration of "computing resources" and "innovative thinking." Under this new R&D framework:
Task Synthesis: Every human researcher will be assigned a vast number of AI tokens (word elements). These "digital laborers" can automatically generate new experimental tasks and simulation environments.
Autonomous Exploration: AI will handle advanced tasks like defining reward functions and exploring novel network architectures. This means humans simply set the final objective, and AI can run tens of thousands of iterations in virtual labs to identify the optimal solution.
R&D Accelerator: This AI-driven closed-loop R&D model will compress technology iteration cycles from "months" to "days" or even "hours."
As a distinguished Tsinghua graduate and former Google Brain researcher, Yang Zhilin has steered Moonshot AI to remarkable growth milestones.
Within just over two years of founding, the company's valuation has surpassed $10 billion, making it one of the most closely watched AI unicorns worldwide. Its growth rate even outpaced that of Pinduoduo and ByteDance during the same period. This dual endorsement from investors and the market reflects ongoing breakthroughs in long-text processing and foundational large-model technologies.
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ZeroTech Unveils G1+ Humanoid Robot with Upgraded Motors, Vision, and Battery Life; Standard Version Priced at 95,000 RMB
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Interesting take, but isn't it a bit self-serving for a founder to claim AI will lead research? 🤔 I'd love to see actual evidence of this paradigm shift, not just hype from someone who profits from it.
