"Seeing Like an Algorithm — Remains of the Day: Learning is a Lifelong Process"

"Seeing Like an Algorithm — Remains of the Day: Learning is a Lifelong Process"

Understanding how algorithms achieve accuracy is becoming increasingly important in all industries, as companies compete with machine learning algorithms. While TikTok's algorithm is often praised for its effectiveness, it is important to note that the algorithm's performance is not solely determined by its design, but also by the dataset it is trained on. TikTok's closed loop of feedback, which encourages the creation and viewing of videos, allows the algorithm to continuously train and improve.

When designing an app, it is crucial to consider how to best assist the algorithm in "seeing." Every action a user takes while engaging with the app provides signals that inform the algorithm's understanding of their preferences and sentiments. From the moment a video begins playing, the algorithm takes note of the user's response. TikTok's operations team also plays a role in this process by adding relevant tags or labels to videos before they are sent to users. Additionally, TikTok's camera filters utilize vision AI to track human faces, hands, or gestures, further enhancing the algorithm's ability to understand user preferences.

In contrast, popular social networks like Facebook, Twitter, and Instagram utilize infinite vertically scrolling feeds, where multiple items are displayed simultaneously. While this design choice offers a seamless browsing experience, it poses challenges for the algorithm in accurately gauging user sentiment. The absence of explicit negative feedback mechanisms means that negative signals are often overlooked, leading to a potential mismatch between a user's true interests and the content shown to them.

Algorithm-friendly design does not have to be user-hostile; rather, it requires a different approach to serving the user's interests. The ultimate goal of any design is to help users achieve their desired outcomes. While reducing friction may be a priority, it is not always synonymous with serving the user's best interests. By aligning every element and process with a single purpose and goal, a design can optimize the algorithm's performance and create a dataset that continually improves.

Learning is a lifelong process that relies on collective knowledge and continuous engagement. No one can learn in isolation; even when studying alone, individuals rely on previously learned information curated by others. Collective learning has been instrumental in human progress across generations. The ability to explain complex concepts simply is a clear indication of learning.

To enhance the learning process, it is beneficial to read articles and actively engage with the content. Highlighting important passages and taking notes allows for better retention and comprehension. Revisiting these notes reinforces the knowledge acquired and aids in the assimilation of new ideas. Learning involves borrowing ideas from various sources and making connections with one's own experiences. Platforms like Glasp, a web highlighter, enable users to share their insights and contribute to the collective learning process. By utilizing Glasp, individuals can access and learn from the notes and highlights of others, fostering productivity, organization, and intellectual growth.

Learning often requires stepping out of one's comfort zone and embracing discomfort. Purposeful living leads to continuous learning. Additionally, leaving a legacy by sharing knowledge and insights can have a profound impact on others' intellectual growth. The ripple effect of one person's contribution to the collective learning process can be immeasurable.

In conclusion, understanding how algorithms work and optimizing their performance is crucial in today's digital landscape. Algorithm-friendly design allows for better user experiences and more accurate recommendations. Learning is a lifelong process that relies on collective knowledge, continuous engagement, and the willingness to share insights. By embracing discomfort and purposefully living, individuals can leave a lasting legacy and contribute to the intellectual growth of others.

Actionable advice:

1. When designing an app or platform, prioritize serving the algorithm to optimize its performance and accuracy.
2. Actively engage with content by highlighting important passages and taking notes. Revisit these notes regularly to reinforce learning.
3. Share your insights and contribute to the collective learning process through platforms like Glasp, allowing others to benefit from your knowledge and experiences.