One more day, one new artist. Today I’m excited to learn more about Landlines Art, an abstract artist that has been a cornerstone of the generative art movement on the Tezos blockchain. He has released multiple collections with different dynamics and innovations that have kept his work fresh. What impresses me about Landlines is his ability to maintain a very similar style while keeping the concept and taste of each new creation innovative. This isn’t easy and requires a lot of thought and effort.
How did you discover NFTs?
I discovered NFTs on Twitter while exploring the generative art/plotter scene. I kept seeing Tezos being mentioned, and it seemed like a really accessible way to get into creating and collecting NFTs. Then things just kind of snowballed from there.
In the past, I’ve mentioned Landlines Art as an example of how creators can use scarcity in their favor. For instance, Abrupt is a collection of only 25 NFTs that, thanks to the low amount of supply, has a floor of 925 XTZ (~$3k). Of course, scarcity doesn’t necessarily mean NFTs will have a high value, but it is a tool that more creators should use in their repertoire.
Can you tell me a bit about your creation process?
My creation process is very non-linear. I often have many ideas on the go at once, and if I find I am stuck/dissatisfied with one idea, I simply leave it. Often, older ideas end up getting repurposed and integrated into new ideas. I can rarely predict where my exploration process will lead me. Often I have a vague idea of something I think might look interesting, but as I begin implementing the algorithm to produce whatever I envision, I inevitably end up exploring different possibilities.
Sometimes this is triggered by happy mistakes while coding, and other times it is simply me continually iterating until I can find something I really like. Oftentimes, it feels as though the “goal post” keeps moving as I work on an idea, as working on the idea gives me a deeper sense of what could be possible to achieve. Put simply, it involves a lot of coding and trying to figure out what is “missing” in the code.
Sedimentary Dissolution #446 by Landlines Art
Who are your favorite NFT artists, and why?
I have a lot of favorites, but I will mention one that is maybe less known. I really like the work of @SynesthesiaART. The details and colours in their work are simply delicious. It is also something I look at and I wonder how exactly they created the work. I enjoy work that I find unpredictable and difficult to explain (in terms of how the artwork was created/generated).
I am also a huge Matt DesLauriers fan, but then again, who isn’t?
aberration #26 by Landlines Art
Landlines Art is quite an innovator. He could’ve continued to release collections on FxHash or generative creations where the code is not necessarily stored on-chain. Still, instead, he decided to push the boundaries with his latest project.
Could you tell me more about your latest project, Distrukt?
In contrast to most on-chain generative artwork, this project uses Python + Blender to produce the artwork. As a result, it isn’t compatible with most generative platforms, which expect javascript and web-friendly rendering.
To store the code that produces the art on-chain, I created my own smart contract (https://tzkt.io/KT18bTjQL13QdPGmRgVneGqTag4VCRxNBv4T/storage/). The only external dependency is Blender, which is used to render the final image. However, since Blender is open-source software, we can count on it being widely and freely available far into the future. To get your own artwork, collect a ticket (Available here), burn the ticket, and wait about 30 minutes for the artwork to be generated/rendered. Once it is rendered, the artwork is air-dropped to the address that burnt the ticket.
You can see the artworks generated so far here.
Distrukt, A18 by Landlines Art.
By the way, I am a big fan and own pieces from these collections: Anamnesis, Abbreviated Curves, aberration, and achromat.
Don’t forget to follow Landlines Art on his Twitter account to stay updated with his latest NFT innovations.
Until next time,
Kaloh.