This week’s featured collector is Safetytrance

Safetytrance focuses their collection on pfps. Take a look at lazy.com/safetytrance

Last week’s poll on collecting AI art produced the most polarized result we’ve seen: 50% said “not for me, full stop,” while 33% said they’re already collecting it. Only 17% landed in the middle with “watching, not buying yet,” and the two nuanced options — collecting only work where AI is genuinely the medium, and worrying about provenance — both drew zero. That’s a striking shape. Our readers aren’t weighing tradeoffs on this one; they’ve largely decided, and they’ve decided in opposite directions. A third of this audience is actively buying AI work while half won’t touch it, with almost nobody occupying the careful middle ground that Christiane Paul and Refik Anadol spent the whole article mapping out. The zeros are the tell. We expected the “only where AI is truly the medium” option to perform — it’s the distinction the experts draw, and the one that separates prompt output from serious practice. Nobody picked it. Which suggests that for our readers, the medium question isn’t the deciding factor. Either you’re in on AI as a legitimate material or you’re not, and the craft distinction doesn’t move anyone across that line. Given that this same audience has repeatedly told us concept matters more than medium and that connecting with the artist matters most of all, the split may be less about AI’s aesthetic legitimacy than about whether there’s a person on the other side you can actually know.

Eighteen Months of Data on What Actually Moves NFT Floors

Every so often someone in the NFT space publishes something rigorous enough that it reframes an entire debate. This week Sergito, who leads MeebCo, published an eighteen-month retrospective on legacy NFT collections — indexed floor data, token launch outcomes, market cap comparisons — and it’s the most useful thing we’ve read all year on the question of what actually creates value for an NFT.

The headline numbers set the stage. Since MeebCo closed its Meebits acquisition in February 2025, Meebits are down 10% in ETH terms and CryptoPunks are down 9%. The median major collection is down 49%. And the four collections that launched tokens since late 2024 have watched their NFTs lose between 60% and 85% since those tokens arrived.

That last figure is the essay’s cleanest verdict, and it deserves unpacking.

Tokens: brilliant for the company, brutal for the NFT. The four token launches all followed the same arc — floor pumps into the claim, then bleeds. Pudgy Penguins are down 85% since PENGU. Azuki down 82% since ANIME. Doodles down 62% since DOOD. Moonbirds compressed the whole cycle into ten months: BIRB was announced in October, the floor spiked to that day, and by the January launch it had already fallen 68%. The market didn’t even wait for the token to exist.

Sergito is refreshingly clear-eyed about why teams keep doing it. Launching a memecoin is, in his words, the best business an NFT company has ever shipped — treasury allocation, permanent liquidity pool fees, and an airdrop that converts years of community loyalty into a single liquidity event. On pure business terms it’s brilliant. And that, he argues, is exactly the problem: the token is the clearest evidence we have that the company doing well and the NFTs doing well are two different things.

The fairest part of his analysis is that he counts both sides. Holders did receive airdrops worth real money. But on launch day, the NFTs that earned those tokens were worth on average 7x what they’re worth today — and the tokens themselves now trade 77% to 97% below launch. The only way to capture the headline value was to sell fast, which is a strange pitch for a long-term holder. An airdrop goes to every holder at once, which means every holder can sell at once. Today’s prices are what remains after everyone tried. And the holder who suffered most is the one who believed most: never sold the token, kept the NFT, watched both halves collapse.

Brand-building doesn’t reach the floor. This is the finding that should provoke the most argument. Every major project ran the same playbook — blind boxes, plushies, trading cards, huge social followings, partnerships with some of the largest companies in the world. And after years of it across the whole cohort, floors repriced as though none of it happened.

His explanation is structural, not cynical: without an embedded reward mechanism, brand success simply doesn’t reach the floor. Nothing connects ongoing revenue to the NFT unless someone deliberately builds that connection. And even if it existed, consider what would flow through it — the global toy industry grows about 4% a year. That’s a fine business for an established company, a strange one for a venture-backed startup, and a stranger one for holders pricing NFTs as growth assets. The line that lands hardest: the NFT doesn’t own the brand. The company owns the brand.

The exception proves the rule. VeeFriends is the only major 10k+ collection green over the past year, up 18% in market cap. Two differences stand out: no token, and a founder who personally underwrites community belief — Gary Vaynerchuk pushing the IP well beyond the crypto podcast circuit, and buying back VeeFriends NFTs with his own wallets to onboard new holders. Skin in the game, visibly.

The mechanism that does work. The essay’s central concept is what Sergito calls the attention-to-actual-value flywheel: attention becomes volume, volume becomes fees, and fees get programmatically reinvested into the collection rather than extracted from it. Legacy collections broke both ends of that loop years ago — royalty enforcement died in the marketplace wars, so volume pays the collection nothing, and Web2 revenue flows to the company and never returns. All that attention, monetized by everyone except the thing generating it.

Chimpers are the one legacy collection that went back and fixed it, migrating to a royalty-enforced contract and routing royalties under their own floor. Combined with a smaller 5,555 supply and adoption of the $CHIMPSTR flywheel, they’re up 121% since February 2025 — the best-performing legacy collection on his board.

MeebCo’s own data supports it. Their floor’s two best stretches both tell the same story. The acquisition itself sent it up 74% in twelve days. Then in September, TokenWorks launched MeebitStrategy ($MEEBSTR) — a token MeebCo didn’t create and doesn’t control, but which generated fees they directed into buying floor Meebits for treasury. The floor jumped 38% in nine days to its high of the year. He’s candid that much of it was given back in the autumn. But the mechanism is the point: the one time the revenue-to-NFT loop got closed, even partially, the market answered immediately.

Longtime readers will recognize TokenWorks — we covered their Fake World Assets protocol two weeks ago and their PunkStrategy flywheel before that. Seeing their strategy-token framework show up as the single clearest positive datapoint in an independent eighteen-month study is a notable validation of the mechanism, whatever one thinks of the broader genre.

And then there’s doing nothing. Punks are down 9% while the median major lost half its value. Sergito’s read: doing nothing isn’t really a strategy so much as a consensus. Punks are art, they’re finished, and the market long ago agreed they shouldn’t be touched. They’re the cleanest evidence available that provenance alone can carry an asset — with NODE Foundation balancing restraint on IP development against genuine stewardship of what makes Punks Punks.

His distinction between Punks and Meebits is worth quoting for anyone thinking about legacy collections generally: both were created by the same artists, so the Larva Labs provenance is intrinsic to each. But Punks were designed to be finished, and that’s part of their power. Meebits shipped as 3D characters with rigs and models, built from day one to be used, ported, and played with. Nobody expects Punks to be developed, and nobody should. Meebits were designed for it.

The test worth borrowing. The question Sergito applies to every initiative is one collectors could apply to any project they hold: does it feed the NFT or feed off it, and does it beat doing nothing?

That’s a demanding standard, and by his own data most of the last two years of NFT strategy fails it. Tokens fed off the NFT. Brand-building fed off the attention the NFT generated. Only two things passed — closing the revenue loop back into the asset, and, for a genuinely finished work, simply not interfering. It’s a sobering framework, but a clarifying one, and it’s built on evidence rather than narrative. That alone makes it worth your time.

This post is based on Sergito’s eighteen-month retrospective on legacy NFT collections: https://x.com/sergitosergito/article/2086843333553357061

Poll: What creates NFT value?

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This week’s featured collector is Reddinft

Reddinft has a wild collection that appears to be a mix of self-made art. Take a look at lazy.com/reddinft

Last week’s poll on how readers discover new NFT art delivered a result that should humble anyone building recommendation systems: pure serendipity won with 50% of the vote. Marketplace feeds and algorithms tied with artists I already follow at 25% each, while social media and trusted curators — the two channels the industry talks about most — both drew zero. That’s a fascinating backdrop for a week we spent covering ChainTail, a research framework designed to make discovery algorithms better at surfacing the long tail. Half our readers, it turns out, aren’t relying on any system at all; they’re stumbling into work, and apparently they like it that way. There’s a generous reading and a skeptical one. The generous one: serendipity is what discovery feels like when it works — the algorithm or the timeline surfaced something unexpected, and the mechanism was invisible enough to feel like luck. The skeptical one: current discovery infrastructure is so unhelpful that collectors have given up attributing their finds to it. Either way, the zeros are the loudest part of the result. A newsletter audience that reads about curation weekly says curators play no role in what they actually find, and social media — supposedly the beating heart of NFT culture — registered nothing. If the next generation of marketplaces wants to matter, the bar isn’t beating the current algorithms. It’s beating luck.

The AI Art Market Is Forming

Back in May we covered SHL0MS’s Inferior Image — the stunt where the anonymous artist posted a real Monet, called it AI-generated, and collected hundreds of confident critiques of a masterwork people believed was machine-made. A new IEEE Spectrum piece on the emerging AI art market picks up that story where we left off, and adds the detail we didn’t have: who bought it, and why.

The buyer was Jediwolf, an anonymous collector who says he’s spent more than 20 years acquiring digital and AI art. He watched the experiment unfold in real time, had never interacted with SHL0MS before, and won the NFT after 28 bids at just over $40,000. His reasoning is the collector’s thesis in miniature: “I was buying a unique moment in time, captured by an artist and preserved as a token.” The Monet wasn’t AI art — but most of what Jediwolf buys is. His UnderTheGAN collection (a play on generative adversarial networks, the pre-diffusion AI tech) holds roughly 100 works valued around $72,000, focused specifically on early AI art from 2015 to 2020, before the medium went mainstream. He describes himself as part collector, part researcher, part curator, documenting a fast-moving field — which sounds a lot like the historically minded collecting we saw validated at Art Basel, where 1950s oscilloscope works sold for $30,000 apiece. Someone is always assembling the early history before institutions realize it matters.

Meanwhile, AI art is scaling into physical space. Refik Anadol — whose 2022 MoMA installation drew 3 million visitors and entered the permanent collection, even as one critic dismissed it as “a massive techno lava lamp” — just opened Dataland in Los Angeles, billed as the world’s first generative AI museum. The economics are worth noting for anyone tracking how digital art monetizes beyond the token: tickets run $49 to $79, a robotic painting system produces one $15,000 canvas a day from visitors’ biometric data (with a waiting list), and a founding collection of 1,000 AI data sculptures that evolve with live rainforest data sold out in 34 minutes at $5,000 each. That’s a sold-out on-chain-style drop, executed through a museum.

Anadol also makes a point that resonates with how we’ve argued collectors should evaluate this work: AI art demands more process transparency than any medium before it. “We have to know where the data comes from, we have to know which model is trained and how it’s trained,” he says — his own Large Nature Model was trained on more than 500 million nature images gathered through field expeditions and partnerships with the Smithsonian and Cornell. Provenance, in other words, is moving upstream: not just who owned the work, but what the model that made it was fed.

The market data, honestly, points in multiple directions at once. The Art Basel and UBS Art Market Report 2026 found digital art’s share of sales nearly tripled between 2024 and 2025, with just over half of surveyed fine art collectors having bought a digital work in 2025 — making it the third most popular category after painting and sculpture. Yet Christie’s shuttered its dedicated digital art department in September after none of its auctions broke $400,000, folding digital works back into contemporary sales. Growth in the collector base, contraction in the dedicated institutional infrastructure — the same paradox we’ve tracked all year with platforms.

And then there’s the uncomfortable data point. After one major stock image platform allowed AI-generated images, monthly sales jumped 80 percent, according to Stanford economist Samuel Goldberg — while traditional contributors began leaving as generative images flooded in. “It looks like consumers like generative AI,” Goldberg says, “and it seems like nongenerative artists could be getting crowded out.” Stock images are commodity art, and he suggests what’s happening there may preview what’s coming for other creative markets as the technology improves. For collectors, the implication cuts the other way: as generic AI imagery becomes infinite and free, the premium shifts to work that can’t be commodified — which is precisely where the definitional fight begins.

That fight is best articulated by Christiane Paul, curator of digital art at the Whitney, who draws the line bluntly: “A visual created by a prompt is not art.” True AI art, in her framing, uses AI as both tool and medium, engaging with it practically and conceptually — training custom models, building extensions, layering control systems. And far from being a shortcut, she says every serious AI artist tells her the same thing: “It is much, much harder than a paintbrush to handle. You are literally communicating with a system with a completely different logic.”

For NFT collectors, that distinction is the whole game. The market forming around AI art will not reward “AI-generated images” as a category — the stock-photo data shows that category trends toward worthless abundance. What Jediwolf is archiving, what Anadol is building, what Paul is defending, and what SHL0MS exposed with a borrowed Monet all point at the same thing: the value sits with artists who engage the system as a medium, with verifiable process and provenance, preserved in a form someone can own. The discourse is still arguing about whether AI art counts. The market, fragmented and contested as it is, has stopped waiting for the answer.

This post is based on IEEE Spectrum’s reporting on the AI art market: https://spectrum.ieee.org/ai-art-market

Poll: Where do you stand on collecting AI art?

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This week’s featured collector is pairmike

Pairmike has a cute collection of pixelated pfps. Take a look at lazy.com/pairmike

Last week’s poll on Fake World Assets landed exactly where you’d expect a scarred-but-curious audience to land: 60% said “interesting, but not with my money.” The remaining votes split evenly between “owner-set rarity is genuinely new” and “glad to see an NFT experiment” at 20% each, while both the strong opinions — praise for the closed token launch and criticism of the lootbox odds — drew zero. That’s a coherent picture. Our readers engaged with FWA the way we framed it: as a mechanism-design curiosity worth understanding from a distance. Nobody was provoked into either defending or condemning the specific mechanics; the audience simply appreciated the novelty and kept their wallets closed. It’s also consistent with what this same readership told us during the NFTX coverage, when 29% said NFT-fi had burned them before. The appetite for watching experiments clearly exceeds the appetite for funding them — which, honestly, is probably the correct posture for a protocol whose price discovery hasn’t happened yet. The real test of sentiment comes when FWA’s buy gate opens and we see whether “interesting” ever converts to “invested.”

Teaching Machines to Recommend the Weird Stuff

Discovery is one of the quiet crises of the NFT space. When Foundation shut down in April, a quarter of our poll respondents named “discovery getting harder for artists” as their top concern — and as marketplaces consolidate, the question of how collectors actually find work becomes more urgent, not less. So it caught our attention that a new peer-reviewed paper published by IEEE takes on NFT recommendation systems directly, and specifically the part of the problem that matters most for art: the long tail.

Here’s the setup in plain terms. As Web3 platforms scale, NFT marketplaces increasingly need recommendation engines — the same way e-commerce sites suggest products you might like. Every NFT carries a rich set of labels: semantic, stylistic, thematic. A single piece might be tagged generative, monochrome, audiovisual, on-chain, and a dozen more things. That label space gets enormous fast, which is why researchers treat NFT recommendation as what’s called an extreme multi-label classification problem — predicting which of potentially thousands of labels apply to a given item and user.

The standard engineering solution is something called a probabilistic label tree, which recursively splits the giant label space into smaller chunks so the computation stays manageable. It works, but it has a bias problem that collectors will recognize instantly: label distribution is highly skewed. A handful of “head” labels — think popular categories like PFP or anime — appear constantly, while thousands of “tail” labels describing niche styles, obscure themes, and unusual formats appear rarely. Systems trained on this data get very good at recommending what’s already popular and very bad at surfacing the rare stuff. The algorithm, in other words, has the same bias as the market.

The paper’s contribution is a framework called ChainTail, built on a simple but clever observation: labels aren’t independent. They have inherent dependencies — certain styles co-occur with certain themes, certain formats cluster with certain aesthetics. ChainTail exploits those relationships in two ways. First, a dependency-aware partition module groups highly dependent labels into subsets when building the tree, so related rare labels support each other instead of getting scattered. Second, a dependency-aware re-scoring module re-ranks prediction scores to strip out label priors — essentially correcting for the popularity bias baked into the raw data. The experimental results show the approach measurably boosts tail label recommendation on widely used datasets.

Why should collectors care about the plumbing of recommendation systems? Because the tail is where the art lives. The head of the distribution is floor sweeps and blue chips; the tail is the experimental audiovisual work, the niche generative styles, the unclassifiable pieces this newsletter exists to talk about. If the discovery infrastructure of the next generation of marketplaces can only see the head, the market’s attention stays concentrated and the long tail of artists stays invisible — no matter how good the work is. Research that makes algorithms better at surfacing rare, weird, dependency-rich work is quietly pro-artist and pro-collector, even if nobody involved would put it that way.

There’s also a familiar echo here. We’ve covered how platform closures erase context and how curation keeps struggling to find a sustainable home. Recommendation systems are curation at scale, whether we like it or not — and the difference between an algorithm that amplifies what’s already popular and one that can genuinely explore the tail is, functionally, the difference between a market that discovers new artists and one that recycles the same fifty names. It’s worth knowing that serious researchers are working on the right side of that problem.

The honest caveat: this is early-stage academic work, tested on research datasets rather than deployed in a live marketplace, and there’s a long road between a published framework and a discovery feed you’d actually use. But the direction matters. The infrastructure conversations we cover usually happen at the protocol layer — this one is happening at the attention layer, which may matter just as much for what gets collected next.

This post is based on the paper introducing ChainTail, published by IEEE: https://ieeexplore.ieee.org/document/11331420

Poll: How do you discover new NFT art?

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This week’s featured collector is fi5hy

fi5hy has a delightfully unpredictable mix of gleaming digital jewelry, armored warriors, and fire-wielding gamers. Well worth a browse at lazy.com/fi5hy

Last week’s poll on what matters most when collecting digital art produced our most lopsided result in months: 75% of readers said connecting with the artist first, with depth of the concept taking the remaining 25%. How the work uses technology, seeing it in person, and the community around it all drew zero votes. What’s striking is that our readers went even further than Sébastien Borget himself. In the interview we covered, Borget’s headline argument was that concept trumps medium — but he also described his personal collecting habit of reaching out to artists before buying, learning their vision and framework, and seeing whether their thinking resonates. That practice, almost an aside in the piece, is what our audience seized on. Three-quarters of readers ranked the human relationship above the ideas, the technology, the physical encounter, and the scene. It’s a result that deepens a pattern we’ve watched all year: from DEAFBEEF’s “art is fundamentally social” to the repeated zero votes for art-historical lineage, this audience keeps locating value in living relationships rather than in objects, mechanisms, or institutional frames. The zeros are telling too — technology as a factor got nothing, from a newsletter audience that reads about blockchain weekly. The medium debate, as far as our readers are concerned, is settled. What’s left is people: the artist you know, and the ideas they’re working through.

Rarity, Priced by the Owner

Every so often something launches in NFT-fi that’s worth covering purely for the ideas. Fake World Assets, live on Ethereum, is one of those. It’s a randomized NFT acquisition pool — think of it as a machine where collectors deposit NFTs, buyers pay a ticket price, and a verifiable random draw decides who gets what. What makes it interesting isn’t the raffle; it’s three design choices nobody else has made.

One note before we dig in: this is new territory with real risks we’ll lay out below. We’re covering FWA because the mechanics are fascinating, not because we endorse participating. As always, DYOR and it is ok to be curious without spending your money.

Who’s behind it. FWA comes from TokenWorks, a dev studio that describes itself as “a playground for onchain financialized ideas” — and unlike most anonymous NFT-fi launches, they arrive with a track record. Their September 2025 debut, PunkStrategy, became one of the key NFT-fi experiments of that year: an automated CryptoPunks trading protocol where token swap fees build an ETH treasury that buys floor Punks, relists them at a 20% premium, and uses the proceeds to buy back and burn the token. It grew from a $1 million market cap to over $150 million at its peak, generated hundreds of ETH in fees, and cycled real Punks through complete buy-sell loops. The follow-up NFTStrategy framework extended the model to collections like BAYC and Pudgy Penguins, with the broader ecosystem surpassing $200 million in market cap. Their Ten Thousand Tokens project — whose NFTs, notably, are the burn-to-enter key for FWA’s permissionless collection whitelist — pioneered the decaying launch tax and closed-loop buyback mechanics that FWA now builds on. You don’t have to like the financialization genre to acknowledge the pattern: this team ships novel NFT mechanisms.

Here’s how FWA works. A depositor pairs an NFT with committed ETH backing to form a position. That ETH does triple duty: it’s the depositor’s stake, it funds a standing buyback bid, and — here’s the novel part — it sets the draw odds.

1. Depositors price their own rarity. Draw probability is inverse to backing: the more ETH behind a piece, the less often it’s drawn. Back your NFT heavily and it becomes statistically scarce, sitting in the pool for ages. Back it lightly and it cycles out fast. Rarity stops being a fixed trait a collection mints and becomes a dial the owner turns, denominated in ETH. As far as we know, that’s a first.

2. Patience gets paid. Every acquisition fee is split equally across all active positions. The heavily backed piece earns the same per draw as the cheap one — but survives many more draws. Per-draw equality plus longevity is the whole depositor engine, and it’s an unusually clean incentive design.

3. Expensive pieces don’t raise the ticket price. Pricing anchors to a harmonic mean of all backings, which is mathematically dominated by the cheapest positions. A pool can hold serious pieces while staying cheap to play.

4. Buyers get a four-way exit. After the draw, the winner has 24 hours to choose: keep the NFT, keep and relist it with their own backing, sell it back to the depositor’s standing bid at 85% of backing in ETH, or take that settlement in the protocol’s $FWA token.

Then there’s the token — and this is the strangest part. Verified on-chain: the $FWA contract currently blocks all buys from its Uniswap pool except from the protocol’s own rewards contract. Sells are open; buys are not. For now, the only way to get tokens is to use the protocol. Early supply is earned, not bought — a deliberate inversion of the usual launch, where outside capital front-runs the users. It’s a thought-provoking answer to a real problem in token launches, and consistent with the launch-mechanics experimentation TokenWorks has been iterating on since PunkStrategy. The flip side: real price discovery arrives when the gate opens.

Overall, there is something genuinely new about Fake World Assets that demonstrates that are still novel ways to play with NFTs.

The reason FWA earns a writeup is that it asks design questions nobody else has asked. What if rarity were a parameter owners set rather than a trait collections mint? What if fee income rewarded longevity instead of size? What if a token launch refused outside capital until users had participated? NFT-fi has produced years of financial engineering in search of a problem. TokenWorks keeps proposing specific, testable mechanics — and we’re curious to see how FWA turns out.

Learn more about Fake World Assets at fwa.fun and fwa.fun/docs/.

Poll: What’s your read on FWA?

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This week’s featured collector is Cryptonicky

Cryptonicky has an unusual collection of NFTs. Worth a browse at lazy.com/cryptonicky

Last week’s poll on the Big3 NFT lawsuit produced a clean 50/50 split between two lessons: half our readers took away that art NFTs are safer than equity-style ones, and the other half concluded that governance rarely means real control. Nobody voted for the other three options. That’s a revealing result, because both winning answers point at the same underlying truth from different directions — the gap between what an NFT technically records and what it can actually enforce. The half who picked “art NFTs are safer” landed on the distinction we drew in the piece: an art NFT delivers the artwork itself on-chain regardless of the issuer’s behavior, while an ownership stake tied to a business depends entirely on that business honoring an off-chain promise. The half who picked “governance rarely means control” zeroed in on the specific failure mode — Big3 fire holders had voting rights on paper and still couldn’t stop the teams from being sold and rebranded out from under them. It’s telling that our readers gravitated toward these structural lessons rather than the more personal “buy for love, not upside,” even though that sentiment has won polls before. Faced with an actual legal case, the audience got analytical rather than sentimental. The message is consistent with where this newsletter keeps arriving: on-chain permanence is real, but off-chain promises are only as good as the party making them — and the safest NFTs are the ones where the thing you own is the thing on the chain.

The Sandbox Co-Founder Built a Physical Gallery and a Sharper Way to Think About Digital Art

We spend a lot of time in this newsletter on the tension between digital art’s speculative past and its more durable future. A new Observer interview with Sébastien Borget offers a useful vantage point on that shift, precisely because he comes at it from an unusual angle — not from the traditional art world, but from gaming and Web3 infrastructure. Elisa Carollo’s conversation with him is worth reading, and here’s what stood out.

Who he is. Borget co-founded The Sandbox, one of the emblematic Web3 gaming companies of the boom — a decentralized metaverse where users create, own, and monetize experiences using NFTs and the SAND token. The company was valued at $1 billion in June 2024. He’s now president of the Blockchain Game Alliance, a group of more than 90 companies. In other words, he understands digital ownership and creator economies from the infrastructure side, which gives his views on art a different foundation than most collectors or curators.

How he got to art. Borget’s path is telling. While building The Sandbox, he didn’t want to neglect culture, so he began collecting digital art and NFTs to display inside the virtual world. But crucially, he didn’t want to just replicate the white-walled museum model in a virtual space. His instinct was that a virtual world should do better than reproduce the physical one — art should function more like it does in the street, accessible and inspiring, rather than sequestered somewhere inaccessible. That logic eventually moved from the virtual world into physical space: first his offices, then, when they ran out of room, a gallery.

The gallery, and a course correction. Four years ago Borget opened ArtVerse in Paris with his Sandbox co-founder Arthur Madrid, to support artists working at the intersection of art and tech who weren’t getting much exposure. But the more interesting detail is what came before it. Borget had earlier helped found NFT Factory, a space in front of the Centre Pompidou. He’s candid that it didn’t align with his vision — it became too focused on showing blockchain art and selling NFTs rather than supporting artists through sustained programming, and it stayed too tied to the NFT bubble. ArtVerse is his correction: a space for a broader, more nuanced conversation around art, technology, and artists’ practices, less about the transaction and more about the work.

The core idea collectors should sit with: it’s not about the medium. This is the through-line, and it echoes something we keep landing on. For Borget, the question is no longer whether a work is “digital art” in the narrow sense. As he puts it, the art can take any form — painting, sculpture, tapestry, video, sometimes blockchain — and what matters is the depth of the concept. The artists he collects and shows are, in his words, solid in their conceptual framework, so whether or how they use technology isn’t about surfing a hype market. Good digital art, to him, is made by artists who think rigorously through science and technology to explore new cultural forms — whether the result ends up on a screen or not.

If that sounds familiar, it should. It’s the same conclusion 0xDEAFBEEF reached from the artist’s side (”there isn’t a single canon”) and the same argument Paglen and Scheinman made curatorially at Art Basel (”all art is digital art at this point”). Three very different figures — an artist-engineer, two curators, and now a gaming entrepreneur — converging on the idea that the digital/non-digital distinction is dissolving and that concept, not medium, is what matters.

A generational read worth noting. Borget makes a point we find persuasive: collectors and audiences born in the 1980s and 90s carry a different cultural DNA. Video games, anime, manga, and film were formative, so it’s natural that the art they collect engages gaming, science, and technology more directly than previous generations did. As he says, technology has been integrated into the culture for 40 years — “we grew up with it” — so there isn’t the same reflexive resistance to it as a medium. He’s honest that France in particular has been slower to accept these forms, precisely because of its deep art-historical heritage, which makes education and in-person exhibition all the more important.

The bridge to gaming. One angle Borget brings that few art-world figures do: he takes gaming seriously as a creative industry and sees a real bridge forming between video-game world-building and contemporary art. More and more artists, he notes, are using game tools and techniques as a medium — making interactive works with genuine depth that provoke thought about the world or human nature, often commissioned by museums. It’s a reminder that the creative labor behind games (character design, landscapes, world-building) has cultural weight the art world has only started to recognize.

Why this matters. What makes Borget’s perspective valuable for collectors is that he understands the infrastructure most of the art world doesn’t — digital ownership, creator economies, alternative value chains, and sustainability models that digital artists have already built. He argues, credibly, that these could prove increasingly useful for the broader art world. And his posture is a deliberate counter to the hype cycle we keep critiquing: he’s clear that art doesn’t have to be controversial or generate hype to be valued. His goal, in his words, is to give artists a voice and a place without manufacturing provocation each time — to let people “feel the progression.”

That’s a quieter, more patient vision than the boom ever allowed, and it’s of a piece with everything we’ve been tracking. The speculation receded; what’s left is people building durable infrastructure and durable context around work that’s judged on its ideas. Borget is doing it from the gaming side, with a physical gallery in Paris and a refusal to soften the ambition. It’s another data point in the same direction: the medium was never the story. The concept was.

This post is based on Elisa Carollo’s interview with Sébastien Borget for Observer: https://observer.com/2026/07/interview-collector-sebastien-borget-artverse-paris-the-sandbox-digital-art/

Poll: What matters most when you collect digital art?

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This week’s featured collector is Clarks

Clarks is a big fan of WAX NFTs. Check out their collection at lazy.com/clarks

Last week’s poll on what would make readers use an NFT liquidity protocol landed almost exactly where the NFTX v4 pitch was aimed: 43% said “finally make rare pieces liquid,” the single largest response, and precisely the problem v4’s design is built to solve. That’s a striking bit of alignment — the feature the protocol is betting on is the one our readers most want. But the second-place answer is the sobering counterweight: 29% said “nothing, NFT-fi burned me before.” Add that to the picture and you get the whole tension of this space in two bars. The most-wanted feature and the most-common objection sit right next to each other, which is exactly why NFTX v4 drawing cautious praise from a hardened trader mattered so much. Unlocking cash without selling and earning yield as an LP each drew 14%, while more efficient floor pricing — the plumbing that actually makes the rest work — got zero votes, a reminder that collectors care about outcomes, not mechanisms. The takeaway is encouraging but conditional: there’s real appetite for making the long tail of valuable pieces liquid, and if NFTX v4 delivers on that specific promise, it’s aiming at the right target. But nearly a third of our readers are starting from a position of earned skepticism, and no whitepaper closes that gap — only a system that works under real conditions will.

Big3 Is Going Public… And an Old NFT Promise Is Coming Back to Haunt It

Most of the NFT stories we cover are about art. This one is about what happens when NFTs are sold as financial ownership… and the gap between what was promised and what buyers actually received. It’s a cautionary tale worth every collector’s attention, especially anyone who ever bought an NFT for its “utility” or governance rights. Front Office Sports has the details on a class action against Ice Cube’s Big3 basketball league that hasn’t been previously reported, and the timing makes it especially pointed.

Here’s the setup. Back in April 2022 (near the peak of the boom)Big3 announced it would introduce “decentralized team ownership” through NFTs. There were two tiers: a gold-level NFT at $5,000 and a fire-level NFT at $25,000. Both came with voting rights on team actions, VIP tickets, and other perks. Critically, the fire tier also promised buyers the right to a percentage of future team sales. In other words, these weren’t sold as collectibles. They were sold as stakes in the upside of the franchises.

What the lawsuit alleges. Filed last summer in California state court by Lou and Sally Sheward, the suit asserts 12 causes of action, including fraudulent concealment and breach of contract. The core claim: Big3 initially treated the NFTs as genuine ownership interests, then gradually stripped away the promised benefits. The league ultimately sold four franchises to outside investors for roughly $40 million — and, according to the suit, distributed none of those proceeds to the fire NFT holders who’d been promised a cut of exactly that kind of sale.

The mechanism alleged is the part collectors should study closely. According to the complaint, Big3 avoided its obligations by rebranding the sold teams as new “expansion” franchises while placing the original teams on “hiatus.” The four rebranded teams — the LA Riot, Detroit Amps, Houston Rig Hands, and Miami 305 — were allegedly the former Enemies, Ghost Ballers, Bivouac, and 3’s Company respectively. The suit notes each rebranded team kept at least one player from its predecessor, even though the originals were supposedly on hiatus. If accurate, that’s a structural sleight of hand: the teams NFT holders had a claim on were technically “paused,” while functionally the same teams were sold under new names.

Why the timing matters. This case takes on new weight because last month Big3 announced a SPAC merger valuing the league at $290 million. Once the deal closes, Big3 will be publicly traded — meaning it’s once again inviting fans and investors to buy into the league. The attorney leading the suit, Joseph Sakai, says he expects to amend the complaint to reference the SPAC deal, though the focus stays on the NFTs. He was candid that there may not be an independent cause of action tied to the SPAC itself, but noted the “obvious overlap in the way it’s being pushed and marketed.” The optics are hard to miss: a league accused of not honoring one set of ownership promises to fans is now making a new pitch to fans and investors.

A BIG3 representative called the suit “sour grapes,” framing the plaintiffs as holders of “an asset class—namely NFTs—which lost all value due to the overall market collapse,” and characterizing the case as “a classic nuisance suit… brought in an effort to extort the BIG3.” The league also argues the plaintiffs are contractually required to resolve disputes through confidential arbitration, and has moved to compel arbitration individually rather than as a class, with a hearing set for August 24. Sakai frames his clients very differently — not as opportunists but as fans. In his words, they “didn’t come to me with pitchforks out, ready to undress the league,” but bought in because they enjoyed being part of it and expected the benefits attached to a substantial investment. He anticipates a class of at least several hundred people.

The takeaway for collectors. Set aside who’s right — that’s for the court, and the arbitration question alone may shape everything. The durable lesson is about the nature of utility and ownership promises in NFTs. When an NFT’s value rests on rights the issuer controls off-chain — a share of future sales, governance over a real-world entity, revenue distributions — the token is only as good as the issuer’s willingness and ability to honor it. The blockchain records that you hold the token; it does not enforce that a company will pay you when it sells an asset, especially if that company can restructure around the obligation. Art NFTs at least deliver the thing itself: the artwork exists on-chain regardless of what the issuer does next. “Ownership” NFTs tied to a business are a fundamentally different and riskier proposition, because they depend on legal enforceability that the technology alone doesn’t provide.

We’ve spent a lot of this newsletter on the case that the art side of NFTs survived the crash with real substance. This is the shadow side of the same story — the utility-and-ownership pitches that treated NFTs as financial instruments, made promises that lived off-chain, and are now being litigated as the entities behind them move on. Whatever the court decides, it’s a useful reminder to read carefully what an NFT actually entitles you to, and to ask who enforces that promise when the issuer’s incentives change.

This post is based on Front Office Sports’ reporting on the Big3 class action.

Poll: What’s the real lesson from the Big3 NFT lawsuit?

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We would love to hear from you as we continue to build out new features for Lazy! Love the site? Have an idea on how we can improve it? Drop us a line at info@lazy.com