How Maven’s AI-run ‘serendipity network’ can make social media interesting again
In today’s world, it often feels like everything is geared towards optimization. From standardized testing to artificial intelligence algorithms, we’re constantly being taught to identify the outcome we want to achieve and find the most efficient path towards getting there. But what happens when we lose sight of the joy and excitement that comes with discovering new things? That’s where Maven, a new social media platform, comes in.
Maven is the brainchild of Kenneth Stanley, a former OpenAI researcher who has been preaching the importance of serendipity in our digital lives for years. Unlike traditional social media platforms that rely on algorithms to curate content for us, Maven uses artificial intelligence to create a “serendipity network” that helps users discover new and interesting things they might not have found otherwise.
So how does it work? When you sign up for Maven, you’re asked to provide some basic information about your interests and preferences. This information is then used to create a personalized feed of content that’s tailored to your tastes. But here’s the twist: rather than relying on algorithms to dictate what you see, Maven’s AI-run serendipity network introduces a element of chance into the mix.
The platform uses a concept called “diversity-based sampling” to select content for your feed. This means that instead of only showing you content that’s similar to what you’ve liked or interacted with before, Maven introduces a degree of randomness into the selection process. The result is a feed that’s full of surprises and unexpected delights – in other words, serendipity.
But how does this approach differ from traditional social media algorithms? According to Stanley, the problem with algorithms is that they’re designed to optimize for a specific outcome, whether that’s engagement, clicks, or likes. This can lead to a narrow, echo-chamber effect where we only see content that reinforces our existing beliefs and interests. In contrast, Maven’s serendipity network is designed to introduce users to new ideas, perspectives, and topics that they might not have encountered otherwise.
Stanley likens the experience of using Maven to “walking through a city and stumbling upon a hidden gem of a restaurant or store.” By introducing a degree of randomness into the content selection process, Maven’s AI-run serendipity network allows users to discover new things that they might not have found otherwise.
Of course, there are still concerns about the role of artificial intelligence in our lives and how it can impact our privacy and security. But Stanley is quick to point out that Maven’s approach is designed to be transparent and user-friendly. Unlike other social media platforms, Maven doesn’t collect any personal data from its users beyond what’s necessary to create a personalized feed. And because the platform relies on AI to curate content, there’s no need for invasive ad targeting or data mining.
In short, Maven’s AI-run serendipity network offers a fresh alternative to traditional social media platforms. By introducing a degree of randomness into the content selection process, Maven helps users discover new and interesting things that they might not have found otherwise. Whether you’re looking for a new hobby, a different perspective, or just a break from the algorithmic echo chamber, Maven is definitely worth checking out.