Vivold Consulting

Threads uses AI to hand users more control over ranking, attempting to turn 'the algorithm' from villain into settings panel

Key Insights

Threads launched an AI-driven personalization feature ('Dear Algo') to tune feed ranking and content preferences. It's a platform move to improve user-perceived control and retention while keeping algorithmic ranking as the underlying engine.

Stay Updated

Get the latest insights delivered to your inbox

Threads is trying to make the algorithm feel negotiable

Social feeds have a trust problem: users blame 'the algorithm' for everything from bad vibes to missed posts. Threads' 'Dear Algo' framing suggests Meta is experimenting with a softer contracttell us what you want, and we'll rank accordingly.

Why this is a meaningful platform shift


Giving users personalization controls isn't purely UX; it changes how ranking systems are governed.

- The product needs interpretable preference knobs that map to real ranking signals.
- The system must avoid letting controls become a loophole for spam or manipulation.
- The UI has to be clear enough that users feel agency without needing a machine learning degree.

What's the business motive?


Retention and time spent are still the currency.

- If users can steer the feed, they may churn less when content quality dips.
- More explicit preference input can improve ranking models and ad targetingquietly boosting revenue.

The tradeoffs to watch


- Too much control can overwhelm; too little feels fake.
- Personalization can amplify filter bubbles if the defaults aren't carefully designed.

In a world where every platform runs on ranking, the differentiator may become whether users feel the ranking is done to them or with them.

Related Articles

L'Oreal's OpenAI deal puts Maybelline try-on, product discovery, and ChatGPT ads in play

L'Oreal has announced a wide-ranging collaboration with OpenAI, unveiled at VivaTech 2026, that brings Maybelline's virtual makeup try-on directly into ChatGPT via L'Oreal's ModiFace AR technology. The deal spans consumer shopping tools, product discovery for brands like Lancome and Kerastase, advertising pilots (SkinCeuticals, CeraVe, Garnier), and R&D - including using OpenAI's GPT-Rosalind life-sciences model for skin-microbiome research. It lands as OpenAI reports ChatGPT at more than 900 million weekly users.

Sakana's Fugu delivers multi-agent frontier performance through one API - and pitches it as an export-control hedge

Sakana AI has launched Fugu and Fugu Ultra, a multi-agent orchestration system delivered as a single foundation model - Fugu is itself an LLM trained to route tasks across a swappable pool of the world's best models (and recursively to itself) via one OpenAI-compatible API. Sakana says Fugu Ultra matches frontier models like Anthropic's Fable 5 and Mythos Preview on demanding engineering, science, and reasoning benchmarks, while pitching the approach as an AI-sovereignty hedge: if one provider's access disappears, as with Anthropic's recently export-controlled models, Fugu reroutes around it. It is generally available today through subscription and pay-as-you-go tiers.

HSBC's multi-year Google Cloud deal targets 200+ AI use cases, some worth $100M+ each

HSBC has signed a multi-year partnership with Google Cloud to build and deploy AI across wealth management, financial-crime risk, and internal decision support, using Gemini models and the Gemini Enterprise Agent Platform. The bank expects more than 200 AI use cases over two years, with selected ones each potentially returning over US$100 million. It builds on a deep existing base - 600-plus AI use cases and a Google-built financial-crime system screening 1.2 billion transactions a month.