Imagine that before launching a new DeFi protocol or launching a brand, you no longer need expensive testnet users or sending out thousands of surveys. Instead, you simply press "run," letting 10,000 distinct AI agents with their own memories "live" in a digital sandbox for a week. They can then tell you when the product will crash or what kind of people will queue overnight for it. This means the singularity of "social physics" is approaching: when human unpredictability is industrialized into predictable means of production, the era of empiricism will end. I. What is Simile AI? @simile_ai AI is an AI company founded by @joon_s_pk, a Stanford University graduate (and the main person in charge of Smallville, the "AI town" that swept the world in 2023). On February 12, 2026, it officially announced that it had secured $100 million in funding led by Index Ventures, with top figures like @karpathy and Fei-Fei Li among the investors. Its core technology is Generative Agents. Simply put, it's building a "human behavior simulator." By feeding AI with real human interaction data, consumption history, and behavioral psychology models, Simile endows these agents with long-term memory, social relationships, and decision-making logic. II. Its Future Form and Commercial Applications If you've seen *Sword Art Online*, you'll know the profound impact of the "artificial Radiant Sandbox" on society. It's a decision-making hub with a god-like perspective, using AI data and deduction to predict "black swan events" that currently seem impossible to predict. For example, in macroeconomic policy, governments would no longer need to rely on outdated economic models before significantly raising interest rates. Simile can simulate one million "digital citizens" with different consumption habits and anxiety levels in a digital city, accurately predicting the social impact of policies one week, one month, and one year after their implementation. In brand marketing, brands like Maje or Sandro, which I admire, no longer need expensive offline interviews before launching new products. Simile can directly turn AI into customers, simulating the target audience's actual purchasing desires and emotional responses when they see new designs. Another example is crypto. Traditional financial models can only analyze data, while Simile can analyze "human psychology." Under extreme market conditions, agents will exhibit irrational greed and fear, allowing financial institutions to test the limits of their risk control systems in a market environment that is infinitely close to reality for the first time. III. And it's much more than that. When the "simulated world" is infinitely close to reality, traditional research companies that rely on distributing questionnaires and organizing offline interviews are powerless against Simile's minute-level simulations. And future content creators seem to become "puppet masters," setting personality parameters for AI. If the government can directly simulate the social reaction to interest rate hikes using 1 million agents, analysts relying on lagging data modeling will lose their voice. Moreover, the virtual world will raise a profoundly impactful philosophical question: if consensus can be predicted and human nature can be simulated, then what can truly be considered real? The world will undergo a redistribution of power; whoever possesses the most accurate simulation engine will hold the "right to interpret" and "manipulate" the real world. The future center of power will no longer be merely those who control the data, but those who control the "causal evolution model." After 2026, the most valuable asset will no longer be logic or efficiency, but rather the currently unsimulatable nature of humanity. Existentialism is about to face its ultimate challenge from AI: who are you? 🤔 twitter.com/yueya_eth/status/2...