
Though Instagram head Adam Mosseri doesn't want to filter out AI content on the platform, he argues that you "shouldn't have it in your feed" if you don't like it. "I don't think we should filter out AI content," Mosseri said during an interview on Lenny Rachitsky's podcast. "I think we should let you know if content is AI content or not." At the same time, Mosseri seems to be drawing a distinction between content-based sorting and banning AI from the platform entirely. In fact
Instagram's head stated that the platform will not filter out AI-generated content from users' feeds, but instead will label content to indicate whether it is AI-generated. He believes users who dislike AI content should simply not see it in their feeds, while those who enjoy it should be able to have feeds composed entirely of AI content. The platform acknowledges that detecting AI content is difficult and may become harder as AI models improve, and suggested it might be more practical to label non-AI content instead. Instagram continues to embrace AI technology while also working to address spammy AI content on the platform.

Following significant backlash, Meta is turning off the feature it announced this week that let users generate AI images based on content from public Instagram accounts just by tagging them. The feature, as originally set up, meant that content from any public Instagram account could be used in AI creations without the account owner's permission. "Earlier this week, we announced that one way for people to generate images in Meta AI is by @-mentioning public Instagram accounts t

Meta told Dylan Byers, of Puck News, that it had nixed the feature after backlash from its user base.

In this tutorial, we build an autonomous data science agent around DeepAnalyze-8B and run it. We begin by preparing a stable runtime, installing the required machine-learning dependencies, and loading the DeepAnalyze tokenizer and model in 4-bit mode to keep the workflow practical on limited GPU memory. We then create a sandboxed execution environment that allows the model to generate Python code, execute it safely, observe the results, and continue its analysis in an agentic loop. By the end o
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven