"The Era of Abstraction & New Creative Tensions: Insights from Twitter Algorithm and AI Tools"
Hatched by Kei
Apr 23, 2024
4 min read
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"The Era of Abstraction & New Creative Tensions: Insights from Twitter Algorithm and AI Tools"
In today's digital age, where information is abundant and easily accessible, we rely heavily on algorithms and AI tools to provide us with the most relevant and accurate content. Two prime examples of this are the Twitter Algorithm and the Arc Browser from The Browser Company of New York. These tools have revolutionized the way we consume information, but they also come with their own set of challenges and considerations.
Let's start with the Twitter Algorithm, a complex system consisting of 48 million parameters that have evolved over two decades of engineering. Its primary goal is to answer important questions about the Twitter network, such as the probability of user interaction in the future. With 150 billion tweets being served to devices, the algorithm runs 5 billion requests daily, completing them in under 1.5 seconds on average.
The algorithm operates in three main stages: candidate sourcing, ranking, and filtering. Twitter employs various models, including the Real Graph model, to predict user engagement with specific tweets. By analyzing the engagement of the people you follow, Twitter can identify tweets similar to those they engage with. Additionally, they use Embedding Spaces, generating numerical representations of users' interests and tweet content to find similarities between users, tweets, and user-tweet pairs.
To ensure diversity in your feed, Twitter ensures that it doesn't inundate you with consecutive tweets from a single author. It also takes into account feedback-based fatigue, lowering the score of tweets you've provided negative feedback on to avoid showing them to you again. Replies to tweets increase the chances of recommendations, while including images or videos can boost recommendations even further. Twitter Blue, a paid subscription service, can significantly enhance recommendations. Being part of a trusted circle or having a group of users frequently engaging with your tweets can also boost recommendations. Retweets and likes play a significant role, with retweets increasing recommendations by 20x and likes by 30x.
Now, let's shift our focus to the Arc Browser, an AI tool that browses the web for us, generating perfect summaries, answers, and solutions. It promises to save us time and effort in researching and finding the best choices. However, with the rise of AI, new challenges emerge. Abstraction Hacking, akin to SEO, becomes a strategy to trick AI models. Efforts to manipulate AI's knowledge and reasoning through choreographed edits and campaigns will likely increase. This gives rise to "training hackers" who infiltrate commonly scraped sources of training data to influence brands, people, and facts.
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