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SkyfallAI 开发预测企业决策后变化的模型
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SkyfallAI 正在开发模型，试图预测企业在每次决策后会如何变化。其创始人认为，现有语言模型难以规划长期结果，也难以适应现实条件变化；他们提出让智能体先在模拟中演练行动，但材料未提供效果验证。
A language model is trained to produce the next good response.
Running a company asks a different question: what does the business look like six months after this decision?
@skyfallai, founded by the team behind Maluuba, is building models that predict how a company changes after each decision.
Its founders argue that LLMs, which have advanced for 5 years mostly by adding data, compute and model size, are the wrong foundation for that job.
Their complaint is specific: current models plan poorly over long horizons, need huge amounts of data and break down when real-world conditions shift.
A world model attacks those weaknesses by learning cause and effect, so an agent can rehearse an action in simulation before taking it.
Below is a great read to learn more about the society post-automation.
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