Rohan Paul

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.