The new app on Lens Wav3s has introduced an amazing slew of potential and realized logic to combat malevolent bots and increase distribution of content in a genuine manner. In my opinion, Wav3s is a better way to combat malicious bots on Lens because it combats the bots by instantiating proof of humanity like logic and aligned incentives, while the theoretical implementation of Cultivator DAO will likely rely on some sort of program that censors users from feeds in an opt-in manner. To be fair, there is no information on Cultivator DAO and this is just my opinion based on the small amount of public information that was released during the voting process. I am still bullish on Cultivator DAO, but I think Wav3s ability to combat bots does so in a more ethical manner. I am going to explain in this writing how exactly Wav3s combats malicious bots by adopting a model from psychology called Signal Detection Theory. At the bottom of this post, I have attached a figure adopted from Signal Detection Theory. I am going to redefine the the axes to represent the situation. If you look at the figure at the bottom of the post, you should see two standard distribution curves, two axes, and one defined area of space denoted by d’. The value of 1 is just an arbitrary value on the x-axis. The x-axis represents the perception of humanity of the lens profile, the y-axis represents the amount of profiles. The the area under the red curve represents the bots on Lens, while the area under the blue curve represents the human run Lens profiles. The variable d will represent the summation of the area under both curves known as “potential distributors of content.” Any subsection of d will be denoted as d’ as shown on the graph. d’ values are created when you add filter logic to a Wav3s post. If you have no filter logic, for example a Wav3 with a follower threshold of 0, then d’ will equal d because you have not limited the distributors and all the distributors in the system are still eligible to distribute. Even with the early filters on wav3s, the amount of content propagated by bots can be dramatically reduced. If we use the quite liberal filter, meaning a wide range of potential disruptors, of a 30 follower threshold to be eligible for the reward, the d’ value shifts slightly to the right, eliminating a great deal of bots without eliminating a lot of potential distributors. If we wanted to produce a cheap and efficient wav3s and did not care about whether bots or humans distributed the content, we could use a neutral filter as pictured in the d’ on the graph by using the filter logic which says only profiles with 30-100 followers will get paid for mirroring this post. Now, if you do not wish for any significant amount of bots to get paid to mirror your content or mind if you miss potential human distributors, then you can use my personal preference for filter logic called a conservative filter, which could say that mirroring profiles must have 150 followers to be paid for mirroring the post. As you go from liberal, to neutral, to conservative the d’ value shifts further and further to the right meaning the perception of humanity of the mirroring profiles is higher, resulting in less bots distributing content. This cost associated with a wav3 incentives conservative filter logic, which drowns bots distribution using wav3s and creates a significant financial cost to distribute undesired, botted content. Conservative logic also allows for the stacking of logic to increase the conservatism of the filter. When you combine the logic of adding the 150 follower threshold with the addition logic that the profile must follow you, the shift d’ further to the right. If you add additional logic that increases the chance of humanity, like requiring the mirror must be within 2 hops of your following social graph, meaning the summation of your followings, your followings followings, and their followings, then you utilize human verification to move d’ to the right since humans are not incentivized to follow bots. Evermore, wav3s is one of the few apps on lens that could be a dapp and have an amazing fee based revenue model. Furthermore, the ability for wav3s to combat bots by providing tools for an educated user to distribute content without adding any layer of censorship showcases why it is the most exciting app on Lens. The power of peer to peer payments to distribute information with minimal noise in the system is incredibly powerful and should be championed by the community. Huge shoutout to all the members of the @wav3s team, and I hope this post sheds some light on the serious potential for the wav3s codebase.

Below is the attached graph: