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Hi AI Futurists,
Bluesky is leaning into AI with its new app that allows users to design their own social algorithm. Attie uses AI to let anyone train and control their own social feed, shifting power from platform algorithms to individuals. Is this the future of social media? Let's take a look.
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🤖 MIT is teaching AI to be humble — AI ego check activated. Your assistant might apologize before it judges.
Bluesky is pushing further into AI with Attie, a tool that turns feed creation into something anyone can train instead of code. Instead of relying on opaque ranking systems, users can shape their own feeds by showing the system what they want, letting the model learn patterns over time. The shift reframes AI from something that controls attention to something that responds to it. Jay Graber has said, “Users should be in control of their experience,” and Attie looks like a direct attempt to operationalize that idea through machine learning.
What makes this interesting is how it changes the role of AI in social platforms. Instead of one centralized algorithm optimizing engagement for millions, each user effectively runs their own version of an algorithm tuned to their preferences. This removes much of the technical friction that previously limited custom feeds to developers, opening the door for non-technical users to shape their information streams with precision.
The surprising part is how this flips the power dynamic. AI becomes a personal tool for filtering signal from noise, rather than a system optimizing for time spent. If this model spreads, attention could become something people actively design and refine, which has real implications for how we learn, work, and compete in environments where information quality drives outcomes.
Takeaways at a Glance:
AI replaces static feed algorithms with user-trained models
No coding required. Feed creation becomes accessible to anyone
Each user can build a unique, evolving information stream
Moves AI from engagement optimization to personal utility
Signals a broader shift toward user-owned digital experiences
What We Think About It:
This is one of the more practical uses of AI we’ve seen in social platforms. It turns a passive experience into an active one, which could change how people think about attention. The challenge is whether users actually want that level of control or prefer convenience.
What You Can Do Right Now:
Pay attention to what you engage with. Every like, skip, or follow is already training an algorithm, whether you control it or not. Try curating your feeds more intentionally by muting noise, following niche voices, and interacting with content you actually want more of. If tools like this become mainstream, the people who already know how to “train” their information flow will have a clear advantage.
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