buffets

@buffets

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TACO TUESDAYS Taco filled with suadero (named after the cut of beef taken from the area between the lower flank and sirloin). 📍 Tacos El Franc, Tijuana 🇲🇽

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MERIDIAN MONDAYS Left: Meridian #713 with the Marsh palette by @mattdesl on @artblocks in the collection of @jdh Right: My photo of the town of Iruya in Salta Province, Argentina, February 2025.

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LEARNING TO SEE 🖼️: First #4191 (2021) by @deafbeef 👀: This work probes our collective enchantment at the notion of being first. It frames firstness not as a source of authority and status, but as fictive constructs that can be parodied and lampooned. In doing so, it serves not only as an incisive commentary on the mania surrounding NFTs in 2021, but also a humbling reminder of how fuckable we continue to be—prodding on to materialise some of its fictive firsts today, even though they have long putrefied beyond recognition, rotting into an irredeemable inconsequence.

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TACO TUESDAYS Taco gobernador: a type of taco made with shrimps and cheese, originating from Sinoloa state in Mexico. 📍 Mariscos Titos, Tijuana 🇲🇽

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MERIDIAN MONDAYS Left: Meridian #963 in the Prismatic style by @mattdesl on @artblocks Right: My photo taken at Naqsh-e Jahan Square, Isfahan, Iran, October 2014

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I think the implications of this will be profound: AI will open up wide, new vistas to see and react to the world. The more pressing question about AI is thus not about productivity, but literacy. We can all very well use AI to run up and down existing valleys quicker, but we will still only be circling around local maxima. It'll be far more meaningful to learn how to wrestle with AI deeply, critically, flexibly, so that we can navigate with it through foreign terrain and savour previously unseen vantage points. This is the opportunity of AI: to develop new ways of seeing in a new medium, to think thoughts that cannot be conceived via another.

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We should think of AI not as a tool, but something more akin to a medium, in the same way that say speaking or writing is a medium—a foundational conduit for thinking, for communicating our thinking, and for engaging with the thinking of others. The range of imaginative possibilities of what we can do with this technology then expands dramatically. One example is offered in this Big Think essay by the science fiction author Ken Liu. With AI, we can "play with captured subjectivities" like no other medium before, as Ken demonstrates through using AI to translate a classical Chinese poem in a multitude of ways. https://bigthink.com/high-culture/ken-liu-ai-art/

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Staking-to-play is better than pay-to-play

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Yeah, it would be nice to see it emerge from hibernation :)

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LEARNING TO SEE 🖼️: Receipt 0.1337 ETH (2022) by @0xhaiku in the collection of wilt.eth after a record 30 transfers 👀: This work elevates one of the most fundamental actions a user can perform on the blockchain—the act of transfer—and immortalises it on a digital representation of a receipt. It made me appreciate how art on the blockchain can manifest in what was to me then an entirely novel dimension: where the canvas is a network, and the brushstrokes placed upon it are our actions on that very network.

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7) Automation in software will not be binary, but will occur along a spectrum between being augmentative and agentic. You will have to think about when AI is best used to directly augment you vs. when AI is better used to simulate you—or a different version of yourself. 8) As more content on the Internet becomes repurposed to be readable by AI agents, a new dimension of media literacy opens up. Questions we’ll need to start asking ourselves: Is this piece of content I’m looking at meant for AI rather than humans? How might it influence the behaviour of an LLM? Whose interests are being served when a particular type of content or information is fed to an LLM?

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5) Human work will lean more towards verification than generation. But even the act of verification may be automated. I therefore prefer the concept of taste—the ability to discern what is useful, aesthetic or simply good, cultivated not just from aggregated data but also through wrestling with the subjectivities of our lived experience. When anything and everything can be easily generated by AI, good taste becomes even more fundamental for verification, curation and management. 6) Since good outputs from AI require well-defined context windows, the ability to recognise, parse and frame different contexts well will be a superpower. Context-switching becomes the new multi-tasking.

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1) AI will become analogous to public utilities like electricity—pervasively distributed and accessible on-demand. You are thus handicapping yourself if you don’t use it. 2) Unlike other tech like computing and the Internet, the diffusion of AI has been largely consumer-first rather than institutions-first. You cannot rely on your employer, your school or the government to prompt you into using AI. By then, it will be too late. 3) How you use AI will be your principal differentiating factor. And how you use AI is in turn a function of how you think, express yourself and engage with others. These are qualities that have long been important before AI, and will continue to be so post AI. 4) Natural language will become our main interface with software. Your ability to communicate will therefore directly correlate with your ability to make and do things with computers.

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Just watched this excellent keynote about how AI is reshaping software by Andrej Karpathy. I’m by no means a software engineer, but I've extrapolated some broader takeaways from it that can be generalised for anyone simply interacting with software, i.e. people like you and me: ⬇️ https://x.com/ycombinator/status/1935496106957488566

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a dopamine bomb with memetic distribution, programmatic supply and unhinged price action - a deadly combination indeed

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In this sense, Rhea's work here is akin to visualising a black hole, and it prompted me to wonder whether in our quests to do so more generally, we risk collapsing into the sheer gravity of our own reflexivity. After all, we have created the idea of nothing out of something, and turned that nothing back into something which is then supposed to represent nothing. I guess there has always been such a reflexive dynamic between the ideas of nothing and something. But by using Ethereum as a medium, this work has made me more mindful about how this dynamic can play out on the blockchain specifically, as we try to imbue more and more things—tokens!—with the properties of property.

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👀: Nothing is ever truly, wholly nothing. From empty space to the null address on Ethereum, there seems to be always something within—and the quest to find and possess that something is a deeply seductive one. To render the ungraspable graspable, the unownable ownable, we thus invent representational strategies to concretise the conceptual and materialise the immaterial.

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LEARNING TO SEE 🖼️: Titled (Information as Property as Art) [Ethereum Null Address] (2022) by @rheaplex on Feral File

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WAYS OF SEEING "Every image embodies a way of seeing. Even a photograph. For photographs are not, as is often assumed, a mechanical record. Every time we look at a photograph, we are aware, however slightly, of the photographer selecting that sight from an infinity of other possible sights. This is true even in the most casual family snapshot. The photographer's way of seeing is reflected in his choice of subject. The painter's way of seeing is reconstituted by the marks he makes on the canvas or paper. Yet, although every image embodies a way of seeing, our perception or appreciation of an image depends also upon our own way of seeing." Excerpt from Chapter 1 of Ways of Seeing by John Berger. 🔗 : https://www.ways-of-seeing.com/ch1

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