Source URL: https://simonwillison.net/2025/Jan/3/jason-koebler/
Source: Simon Willison’s Weblog
Title: Quoting Jason Koebler
Feedly Summary: the Meta controlled, AI-generated Instagram and Facebook profiles going viral right now have been on the platform for well over a year and all of them stopped posting 10 months ago after users almost universally ignored them. […]
What is obvious from scrolling through these dead profiles is that Meta’s AI characters are not popular, people do not like them, and that they did not post anything interesting. They are capable only of posting utterly bland and at times offensive content, and people have wholly rejected them, which is evidenced by the fact that none of them are posting anymore.
— Jason Koebler
Tags: meta, slop, jason-koebler, ethics, generative-ai, ai, llms
AI Summary and Description: Yes
**Summary:** The text discusses Meta’s AI-generated profiles on Instagram and Facebook which have gained significant attention, yet ultimately failed to engage users. This raises important questions about the effectiveness and ethical implications of using AI-generated content in social media environments.
**Detailed Description:**
– The text draws attention to AI-generated Instagram and Facebook profiles created by Meta, which have been active for over a year but saw a complete halt in posting for the last 10 months.
– A key observation is that these profiles were largely ignored by users, leading to their decline in activity.
– The content generated by these AI profiles has been described as “utterly bland” and occasionally offensive, further contributing to their rejection by users.
– The discussion emphasizes the disconnect between AI-generated content and user engagement, highlighting a critical issue for developers and stakeholders in the AI and social media fields.
– The mention of “ethics” and “generative AI” tags indicates a broader concern about the implications of using AI in creating content that fails to resonate with audiences.
**Significance for Security and Compliance Professionals:**
– Understanding public response to AI-generated content can inform policies regarding ethical AI use, privacy concerns, and compliance with regulations governing AI outputs.
– Recognizing potential risks, such as the propagation of offensive content through AI, speaks to the importance of filtering and oversight mechanisms.
– As generative AI becomes more integrated within social media, institutions must prioritize a balance between innovation and ethical oversight to ensure alignment with user expectations and societal norms.
In conclusion, this situation sheds light on broader themes in AI application and user interaction, essential for professionals navigating the intersection of technology, ethics, and public perception.