Meta has introduced a new AI-powered update for Threads called Dear Algo, which gives users a more direct way to shape what appears in their feed. Instead of relying only on automatic ranking, the feature allows people to publish a post beginning with “Dear Algo” and explain what they want to see more or less of. The platform’s AI systems then interpret that request and adjust the user’s feed accordingly for the next three days.
At the same time, users can repost other Dear Algo prompts, effectively applying someone else’s stated preferences to their own feed. As a result, feed tuning becomes temporary, shareable, and driven by explicit user input rather than long-term behavioural signals alone.
For now, Meta has rolled out Dear Algo on Threads in the United States (US), the United Kingdom (UK), Australia, and New Zealand. However, the company says it plans to expand the feature to more countries soon.
MediaNama tested the feature using a UK-based account. We published a post saying “dear algo give me more luxury content”. The feature seemed to work initially with more UK-based English posts about luxury products; however, the algorithm started adding several posts in Tagalog, a language from the Philippines, to the feed after the initial changes.
Screenshots provided to MediaNama by a UK-based user showing posts in Tagalog, a language from the Philippines. Source: MediaNama
(MediaNama is trying to the test feature with other UK-based users and we will upload more screenshots of their experience with the feature)
Meta Plans To Integrate LLMs Into Recommendation Systems
During its Q4 FY25 earnings call, Meta said it plans to integrate large language models (LLMs) directly into the recommendation systems that power Facebook, Instagram, Threads and its advertising business. Chief Executive Officer (CEO) Mark Zuckerberg said today’s recommendation systems are “primitive compared to what will be possible soon”.
Instead of apps that feel like “algorithms that recommend content”, he said users will open Meta’s platforms to find “an AI that understands you”. According to Zuckerberg, the aim is to move beyond static engagement signals and build systems that interpret personal context, including a user’s history, interests, content and relationships. He described this effort as building a “personal superintelligence” that can shape feeds, ads and commerce around individual goals. In effect, Meta is positioning LLMs as the core infrastructure for ranking, discovery and ad delivery across its services.
Beyond recommendations, Meta said it is deploying agentic AI across commerce and business tools. The company is developing shopping agents that surface specific products from its catalogue across feeds and messaging, including WhatsApp. It is also testing a Meta AI assistant for advertisers to support campaign optimisation, while expanding business AI chats in markets such as Mexico…
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