Training our own AI models
Blog post from PostHog
PostHog is focusing on integrating more AI-powered features into its platform, aiming to create proactive, self-driving products like the beta version of PostHog Code, which is designed to surface solutions and improve over time. The company plans to train models on PostHog's data to enhance existing products and develop new ones, such as advanced session replay analysis and synthetic user testing, to anticipate user behavior and improve product outcomes. While PostHog intends to use anonymized data from its US cloud instance for model training, with the option for users to opt out, it emphasizes transparency and communication about these changes, highlighting that the aim is to enhance product quality rather than monetize user data. The opt-out approach is necessary to gather sufficient data for effective model training, and users can manage their participation through PostHog's settings.
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