On September 26 at 13:37, Flock published an article titled "Ablation Ablablation du blabla", which explored the concept of ablation in neural networks. Ablation refers to the process of removing or altering parts of a system to understand their function, and in the context of neural networks, it is used to determine the importance of different components. The article discussed how this technique helps researchers understand the inner workings of complex artificial intelligence models. Readers engaged with the article in various ways. One commenter pointed out a grammatical error in the fourth image, specifically in the second bubble, where the phrase "on peut accéder à absolument toutES nos demandes" was noted for an incorrect plural form. Another reader humorously remarked that the article made them feel as if their brain was being "sloped," suggesting the content was challenging or disorienting. The discussion also touched on the broader issue of neural network explainability. One commenter highlighted the difficulty in understanding the internal parameters of these models, which are often treated as "black boxes" because their decision-making processes are not transparent. While models are typically evaluated based on their input-output relationships, the lack of clarity about the parameters themselves remains a significant challenge in the field of artificial intelligence. Some readers expressed mixed reactions to specific statements in the article. One found discomfort with the phrase "on ne pense pas qu'ils souffrent," which translates to "we don't think they suffer," possibly referring to the lack of consideration for the potential impacts of AI systems. In contrast, another reader praised the article highly, calling it "very very great Flock" and thanking the publication for "gâter" them, a French term meaning "to spoil" or "to treat kindly."