millionways Introduces Thorsten 4, a Large Psychology Model That Predicts What People Will Do Next
AI can write code, pass the bar exam and sound human. It still can’t tell when you’re unsure, holding back or about to walk away. Today we’re introducing Thorsten-4, a Large Psychology Model that predicts what people will do next.
Context
It targets a gap language models still have, reading hesitation and intent in human conversation, which matters for sales, support and coaching tools.
Martin Cordsmeier is cofounder and CEO of millionways, a company building AI models of human behavior. Thorsten 4 is the company's Large Psychology Model. The company announced it on November 12.
Deep dive
Martin Cordsmeier posted on November 12 that AI can write code, pass the bar exam and sound human, but still cannot tell when a person is unsure, holding back or about to walk away. He introduced Thorsten 4, which he called a Large Psychology Model that predicts what people will do next.
Cordsmeier leads millionways, which describes Thorsten 4 as its proprietary model for analyzing communication to identify behavioral patterns, motivations, decision styles and likely reactions. The company's stated goal is to help AI understand human behavior in business interactions such as sales and customer conversations.
The launch post included a cinematic video set in a control room. It did not share benchmark results, pricing or details on how the model was trained or evaluated, so its predictive claims are the company's own and have not been independently tested.
The post passed 100,000 views, which put it just over the viral threshold for this deck.
What to expect next
Watch for published evaluations of Thorsten 4's predictions, customer deployments in sales or support, and how millionways handles privacy when analyzing people's conversations. Larger labs are adding emotion and intent signals to voice and chat models, so specialised behavior models will need clear evidence that they do better. Regulators in Europe have also restricted some emotion recognition uses, which may limit where tools like this can be deployed.