The Tel Aviv startup is betting that models trained on real actions, not just text, can anticipate decisions people haven't made yet An Israeli startup wants to know what you’ll do before you do. Specifically, it wants to know even when you’re facing a situation you’ve never encountered. 42AI, based in Tel Aviv, has come out of stealth with total funding of approximately $62.5 million to $63 million. Its pitch centers on something it calls Large Behavioral Models, or LBMs. The goal is to predict how people and institutions will act. What 42AI is actually building Most of the AI people use today runs on large language models. These systems learn from enormous piles of text. When you ask one for help, it works from what you tell it you want. 42AI is taking a different route. Its models are trained on real choices and real actions, not only on words. Language models largely depend on stated intentions. 42AI is building around actual behavior. The company wants to model what people do, rather than what they claim they’ll do. CEO and co-founder Amit Gal-Or framed the core idea in an interview with TechCrunch. “Behavior is not deterministic; it’s constantly probabilistic,” Gal-Or said. P...
42AI exits stealth with roughly $63M to build AI that forecasts human behavior
1 hour ago
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