The opinion section has become a particular obsession for Bezos.

Every few weeks, it seems like there’s a new headline about a lawyer getting in trouble for submitting filings containing, in the words of one judge, “bogus AI-generated research.” The details vary, but the throughline is the same: an attorney turns to a large language model (LLM) like ChatGPT to help them with legal research (or worse, writing), the LLM hallucinates cases that don’t exist, and the lawyer is none the wiser until the judge or opposing counsel points out their mistake. In some cases, including an aviation lawsuit from 2023, attorneys have had to pay fines for submitting filings with AI-generated hallucinations. So why haven’t they stopped?The answer mostly comes down to time crunches, and the way AI has crept into nearly every profession. Legal research databases like LexisNexis and Westlaw have AI integrations now. For lawyers juggling big caseloads, AI can seem like an incredibly efficient assistant. Most lawyers aren’t necessarily using ChatGPT to write their filings, but they are increasingly using it and other LLMs for research. Yet many of these lawyers, like much of the public, don’t understand exactly what LLMs are or how they work. One attorney who was sanctioned in 2023 said he thought ChatGPT was a “super search engine.” It took submitting a filing with fake citations to reveal that it’s more like a random-phrase generator — one that could give you either correct information or convincingly phrased nonsense.Andrew Perlman, the dean of Suffolk University Law School, argues many lawyers are using AI tools without incident, and the ones who get caught with fake citations are outliers. “I think that what we’re seeing now — although these problems of hallucination are real, and lawyers have to take it very seriously and be careful about it — doesn’t mean that these tools don’t have enormous possible benefits and use cases for the delivery of legal services,” Perlman said. Legal databases and research systems like Westlaw are incorporating AI services.In fact, 63 percent of lawyers surveyed by Thomson Reuters in 2024 said they’ve used AI in the past, and 12 percent said they use it regularly. Respondents said they use AI to write summaries of case law and to research “case law, statutes, forms or sample language for orders.” The attorneys surveyed by Thomson Reuters see it as a time-saving tool, and half of those surveyed said “exploring the potential for implementing AI” at work is their highest priority. “The role of a good lawyer is as a ‘trusted advisor’ not as a producer of documents,” one respondent said. But as plenty of recent examples have shown, the documents produced by AI aren’t always accurate, and in some cases aren’t real at all.RelatedIn one recent high-profile case, lawyers for journalist Tim Burke, who was arrested for publishing unaired Fox News footage in 2024, submitted a motion to dismiss the case against him on First Amendment grounds. After discovering that the filing included “significant misrepresentations and misquotations of supposedly pertinent case law and history,” Judge Kathryn Kimball Mizelle, of Florida’s middle district, ordered the motion to be stricken from the case record. Mizelle found nine hallucinations in the document, according to the Tampa Bay Times.Mizelle ultimately let Burke’s lawyers, Mark Rasch and Michael Maddux, submit a new motion. In a separate filing explaining the mistakes, Rasch wrote that he “assumes sole and exclusive responsibility for these errors.” Rasch said he used the “deep research” feature on ChatGPT pro, which The Verge has previously tested with mixed results, as well as Westlaw’s AI feature.Rasch isn’t alone. Lawyers representing Anthropic recently admitted to using the company’s Claude AI to help write an expert witness declaration submitted as part of the copyright infringement lawsuit brought against Anthropic by music publishers. That filing included a citation with an “inaccurate title and inaccurate authors.” Last December, misinformation expert Jeff Hancock admitted he used ChatGPT to help organize citations in a declaration he submitted in support of a Minnesota law regulating deepfake use. Hancock’s filing included “two citation errors, popularly referred to as ‘hallucinations,’” and incorrectly listed authors for another citation. These documents do, in fact, matter — at least in the eyes of judges. In a recent case, a California judge presiding over a case against State Farm was initially swayed by arguments in a brief, only to find that the case law cited was completely made up. “I read their brief, was persuaded (or at least intrigued) by the authorities that they cited, and looked up the decisions to learn more about them – only to find that they didn’t exist,” Judge Michael Wilner wrote.Perlman said there are several less risky ways lawyers use generative AI in their work, including finding information in large tranches of discovery documents, reviewing briefs or filings, and brainstorming possible arguments or possible opposing views. “I think in almost every task, there are ways in which generative AI can be useful — not a substitute for lawyers’ judgment, not a substitute for the expertise that lawyers bring to the table, but in order to supplement what lawyers do and enable them to do their work better, faster, and cheaper,” Perlman said.But like anyone using AI tools, lawyers who rely on them to help with legal research and writing need to be careful to check the work they produce, Perlman said. Part of the problem is that attorneys often find themselves short on time — an issue he says existed before LLMs came into the picture. “Even before the emergence of generative AI, lawyers would file documents with citations that didn’t really address the issue that they claimed to be addressing,” Perlman said. “It was just a different kind of problem. Sometimes when lawyers are rushed, they insert citations, they don’t properly check them; they don’t really see if the case has been overturned or overruled.” (That said, the cases do at least typically exist.)Another, more insidious problem is the fact that attorneys — like others who use LLMs to help with research and writing — are too trusting of what AI produces. “I think many people are lulled into a sense of comfort with the output, because it appears at first glance to be so well crafted,” Perlman said.Alexander Kolodin, an election lawyer and Republican state representative in Arizona, said he treats ChatGPT as a junior-level associate. He’s also used ChatGPT to help write legislation. In 2024, he included AI text in part of a bill on deepfakes, having the LLM provide the “baseline definition” of what deepfakes are and then “I, the human, added in the protections for human rights, things like that it excludes comedy, satire, criticism, artistic expression, that kind of stuff,” Kolodin told The Guardian at the time. Kolodin said he “may have” discussed his use of ChatGPT with the bill’s main Democratic cosponsor but otherwise wanted it to be “an Easter egg” in the bill. The bill passed into law. Kolodin — who was sanctioned by the Arizona State Bar in 2020 for his involvement in lawsuits challenging the result of the 2020 election — has also used ChatGPT to write first drafts of amendments, and told The Verge he uses it for legal research as well. To avoid the hallucination problem, he said, he just checks the citations to make sure they’re real.“You don’t just typically send out a junior associate’s work product without checking the citations,” said Kolodin. “It’s not just machines that hallucinate; a junior associate could read the case wrong, it doesn’t really stand for the proposition cited anyway, whatever. You still have to cite-check it, but you have to do that with an associate anyway, unless they were pretty experienced.”Kolodin said he uses both ChatGPT’s pro “deep research” tool and the LexisNexis AI tool. Like Westlaw, LexisNexis is a legal research tool primarily used by attorneys. Kolodin said that in his experience, it has a higher hallucination rate than ChatGPT, which he says has “gone down substantially over the past year.” AI use among lawyers has become so prevalent that in 2024, the American Bar Association issued its first guidance on attorneys’ use of LLMs and other AI tools. Lawyers who use AI tools “have a duty of competence, including maintaining relevant technological competence, which requires an understanding of the evolving nature” of generative AI, the opinion reads. The guidance advises lawyers to “acquire a general understanding of the benefits and risks of the GAI tools” they use — or, in other words, to not assume that an LLM is a “super search engine.” Attorneys should also weigh the confidentiality risks of inputting information relating to their cases into LLMs and consider whether to tell their clients about their use of LLMs and other AI tools, it states.Perlman is bullish on lawyers’ use of AI. “I do think that generative AI is going to be the most impactful technology the legal profession has ever seen and that lawyers will be expected to use these tools in the future,” he said. “I think that at some point, we will stop worrying about the competence of lawyers who use these tools and start worrying about the competence of lawyers who don’t.”Others, including one of the judges who sanctioned lawyers for submitting a filing full of AI-generated hallucinations, are more skeptical. “Even with recent advances,” Wilner wrote, “no reasonably competent attorney should out-source research and writing to this technology — particularly without any attempt to verify the accuracy of that material.”See More:

In this Q&A, get a glimpse into the future of artificial intelligence (AI) and computer vision through the lens of longtime Unity user Gerard Espona, whose robot digital twin project was featured in the Made with Unity: AI series. Working as simulation lead at Luxonis, whose core technology makes it possible to embed human-level perception into robotics, Espona uses his years of experience in the industry to weigh in on the current state and anticipated progression of computer vision.During recent years, computer vision (CV) and AI have become the fastest-growing fields both in market size and industry adoption rate. Spatial CV and edge AI have been used to improve and automate repetitive tasks as well as complex processes.This new reality is thanks to the democratization of CV/AI. Increasingly affordable hardware access, including depth perception capability as well as improvements in machine learning (ML), has enabled the deployment of real solutions on edge CV/AI systems.Spatial CV using edge AI enables depth-based applications to be deployed without the need of a data center service, and also allows the user to preserve privacy by processing images on the device itself.Along with more accessible hardware, software and machine learning workflows are undergoing important improvements. Although they are still very specialized and full of technical challenges, they have become much more accessible, offering tools that allow users to train their own models.Within the standard ML pipeline/workflow, large-scale edge computing and deployment can still pose issues. One of the biggest general challenges is to reduce the costs and timelines currently required to create and/or improve machine learning models on real-world applications. In other words, the challenge is how to manage all these devices to enable a smooth pipeline for continuous improvement.Also, the implicit limitations in terms of compute processing need extra effort on the final model deployed on the device (that is, apps need to be lightweight, performant, etc.). That said, embedded technology evolves really fast, and each iteration is a big leap in processing capabilities.Spatial CV/AI is a field that still requires a lot of specialization and systems. Workflows are often complicated and tedious due to numerous technical challenges, so a lot of time is devoted to smoothing out the workflow instead of focusing on value-added tasks.Creating datasets (collecting and filtering images and videos), annotating the images, preprocessing/augmentation process, training, deploying and closing the feedback loop for continuous improvement is a complex process. Each step of the workflow is technically difficult and usually involves time and financial cost, and more so for systems working in remote areas with limited connectivity.At Luxonis, we help our customers build and deploy solutions to solve and automate complex tasks at scale, so we’re facing all these issues directly. Our mission, “Robotic vision made simple,” provides not only great and affordable depth-capable hardware, but also a solid and smooth ML pipeline with synthetic datasets and simulation.Another important challenge is the work that needs to be done on the interpretability of models and the creation of datasets from an ethical, privacy and bias point of view.Last but not least, global chip supply issues are making it difficult to get the hardware into everybody’s hands.Data-centric AI is potentially useful when a working model is underperforming. Investing a large amount of time to optimize the model often leads to almost zero real improvement. Instead, with data-centric AI the investment is in analysis, cleaning and improving of the dataset.Usually when a model is underperforming, the issue is within the dataset itself, as there is not enough data for the model to outperform. This could be the result of two possible reasons: 1) the model needs a much larger amount of data, which is difficult to collect in the real world, or 2) the model doesn’t have enough examples of rare cases, which take a lot of time to happen in the real world.In both situations, synthetic datasets could help.Thanks to Unity’s computer vision tools, it is very easy to create photorealistic scenes and randomize elements like materials, light conditions and object placement. The tools come with common labels like 2D bounding boxes, 3D bounding boxes, semantic and instance segmentation, and even human body key points. Additionally, these can be easily extended with custom randomizers, labelers and annotations.Almost any task you want to automate or improve using edge CV/AI very likely involves detecting people for obvious safety and security reasons. It’s critical to guarantee user safety around autonomous systems or robots when they’re working, requiring models to be trained on data about humans.That means we need to capture a large amount of images, including information like poses and physical appearance, that are representative of the entire human population. This task raises some concerns about privacy, ethics and bias when starting to capture real human data to train the model.Fortunately, we can use synthetic datasets to mitigate some of these concerns using human 3D models and poses. A very good example is the work done by the Unity team with PeopleSansPeople.PeopleSansPeople is a human-centric synthetic dataset creator using 3D models and standard animations to randomize human body poses. Also, we can use a Unity project template, to which we add our own 3D models and poses to create our own human synthetic dataset.At Luxonis, we’re using this project as the basis for creating our own human synthetic dataset and training models. In general, we use Unity’s computer vision tools to create large and complex datasets with a high level of customization on labelers, annotations and randomizations. This allows our ML team to iterate faster with our customers, without needing to wait for real-world data collection and manual annotation.Since the introduction of transformer architecture, CV tasks are more accessible. Generative models like DALL-E 2 could also be used to create synthetic datasets, and NeRF as a neural approach to generate novel point of views of known objects and scenes. It’s clear all these innovations are catching the attention of audiences.On the other hand, having access to better annotation tools and model zoos and libraries with pre-trained, ready-to-use models are helping drive wide adoption.One key element contributing to the uptick in computer vision use is the fast evolution of vision processing units (VPUs) that currently allow users to perform model inferences on device (without the need for any host) at 4 TOPS of processing power (current Intel Movidius Myriad X). The new generation of VPUs promises a big leap in capabilities, allowing even more complex CV/AI applications to be deployed on edge.Any application related to agriculture and farming always captures my attention. For example, there is now a cow tracking and monitoring CV/AI application using drones.Our thanks to Gerard for sharing his perspective with us – keep up with his latest thoughts on LinkedIn and Twitter. And, learn more about how Unity can help your team generate synthetic data to improve computer vision model training with Unity Computer Vision.

🍉🍋🐍🍇🍎 "Brainmelting Snake" Serpentes is back An updated offering of blissful boomer arcade goodness is here! It's Snake, but every fruit has 5 effects assigned to it randomly. Eat the fruits to reveal their effects, then use them to your advantage... or die trying. Based on a hellishly addictive hidden gem made by Benjamin Soulé in 2015, this new Serpentes got a second serving of 11 fresh fruits to unlock, mix, and match with the old ones, featuring new mechanics, reworked old ones, and a new original soundtrack by Pentadrangle. Boomer Arcade at its crunchiest Select two bonuses to start your run, then score the best possible score in 60 seconds. Death is inevitable, but dying only means retrying the very next second, as the fruits' properties get reshuffled. As you reach higher scores and fill up the leaderboard, you'll unlock new bonuses to select at the start, and new fruits to mix into the game for new effects. Strategize on the fly The fruits have 5 rows of properties. The first row is simply score. The second one adds and removes lengths of tail. The third one adds enemies, obstacles, it makes your snake faster, and some other fun things. The fourth row makes your next fruit more valuable, or maybe you'll get a wider selection of fruits, or you'll get a way to destroy some of the enemies and obstacles. Finally the fifth row holds a variety of powerful bonuses and mini-games that play through the game of Snake. Complete a row on all the fruits to get 20 extra seconds on the timer. Quickly pick up 5 of a same fruit to unlock its fifth property. Try different priorities. Adapt your strategy to the effects you uncover. Or die and restart. After all, a run is just 1 minute. Pay to win The free demo for this game is essentially the same as the full game. However, the demo only lets you select one starting bonus, instead of two. This makes it considerably harder than the full game, though not impossible, and we believe it's representative enough to get an idea of whether this game is for you. Besides this, the demo mostly features the fruits from the original version, and only 2 of the 11 unlockable new ones. Controls This game plays entirely with the keyboard, or with a gamepad. (keyboard still required to input your name at least once for the leaderboard) Use directions to move your snake, and hold them to move faster. That's it. 🍌🍑🐍🍒🥑 Praise for Serpentes "It captures the spirit of the original Snake perfectly [...] and then dials it up to eleven." — Derek Yu"Each variation of the Snake theme has generally been the same until Benjamin Soulé released 'Serpentes'." — Indie Retro News"[about Serpentes] I love the way it feels in my brain." — The Beauty of Games, by Frank Lantz🍋🍊🐍🥝🍍 This game was partially funded on Patreon by people like you! Our 3€-per-month Patreon subscription gives you our games as they come out, starting with the last game that came out when you subscribe. At this time, that means this game! If you have the means, subscribing for 5€ per month makes your name appear in the credits of the games that come out while you are subscribed, and gives you the OST of the games on Bandcamp. For 10€ per month, you also get access to a Discord channel where we frequently post news, articles and other resources we find interesting or helpful. The games are given out as Itch keys and Steam keys to be redeemed on our website. The games initially release on Itch, and then come to Steam a bit later. When the game releases on a platform, the corresponding key appears. You can cancel your subscription at anytime and it won't revoke your game keys. This game is currently an Itch exclusive. But it will come out on Steam eventually. If you feel so inclined, wishlisting Serpentes there would be very helpful to us! Buying the game here on Itch, or getting it through our Patreon subscription, will get you a Steam key when it releases there. 🍋🍑🐍🥑🍉 Discord If you'd like you can come to our Discord to share your best scores and compare strategies! It's also a great place to talk with us and get news for this and our next projects! 🍎🍍🐍🍊🍓 Are you press or a content creator? If you're a streamer, youtuber, or press and you'd like to cover the game, you can request a press key using this form! We've also uploaded a few assets you might find useful, including screenshots and thumbnail material! Find them here! 🍌🍒🐍🍓🥝 About PUNKCAKE As PUNKCAKE Délicieux we make a new game every month, which you can get by subscribing to our Patreon for 3€/month or buy separately on Itch io for 6$! Subscribe to our newsletter! Join our Discord! Follow our Bluesky! Subscribe to our Youtube! 🍇🍋🐍🍍🍊 Changelog: Quickpatch 1.0b: Fixed the Lychee unlock. Fixed a crash when trying to delete highscores. More informationPurchaseGet this game and 23 more for $66.00 USDSerpentes Release Sale! 🐍🍒View bundleBuy Now$6.00 $5.40 USD or moreIn order to download this game you must purchase it at or above the minimum price of $5.40 USD. You will get access to the following files:Download demo

Mario Kart World comes at you fast (Nintendo) After a dozen hours with the biggest game on Nintendo Switch 2, GameCentral tries to evaluate the surprisingly controversial new Mario Kart game. It’s very obvious why Mario Kart World is the main launch title for the Nintendo Switch 2: it’s been over a decade since the last one and Mario Kart 8 is one of the best-selling video games of all-time. Much of that success is due to the innate simplicity of the concept and the easy accessibility of its controls, so it’s surprising that Mario Kart World has been so difficult for people to get their heads around. We’ve played it three times now, for increasingly long lengths of time, the previous time being at a press event with a host of other journos. But now that we have a Nintendo Switch 2 of our own, we’ve been able to spend even longer exploring the game at our leisure and we’ve come to the conclusion that Nintendo’s marketing for the game is doing it a disservice. It emphasises the fact that the game has a massive open world but as soon as you start playing, it becomes obvious that the designers must consider that to be a relatively minor part of the game. Or at least the idea that you can roam around at will, looking for secrets. You can do that, but despite what we and many others assumed it’s very much a side activity. This is made obvious by the fact that the option to free roam is not part of the main menu for the game, instead there’s an easily missed prompt to press the ‘+’ button and explore the open world at will. This is a lot of fun, because the open world is phenomenally well designed – full of secret pathways and tempting scenery to jump off and grind on – but what’s putting people off is there’s very little structured gameplay for it. There are a variety of objects to look out for – such as P-switches, ? panels, and special medallions – but all they do is unlock small stickers you can customise your vehicle with. The P-switches activate missions, which are the most complex activity, but most of the time they involve simply collecting blue coins or competing in a mini-race. There are a few more unusual examples but most barely last 60 seconds, when you beat them, and that’s as complicated as the open world gameplay ever gets. It is enjoyable, and we’ve spent many happy hours already searching for secrets, but there’s no question that the open world feels underutilised – an afterthought almost. Expert, exclusive gaming analysis Sign up to the GameCentral newsletter for a unique take on the week in gaming, alongside the latest reviews and more. Delivered to your inbox every Saturday morning. Although other AI racers can occasionally be seen driving around you can’t interact with them, there’s no story or dialogue, and no complex mission scenarios. What’s more, you can’t meet random online players in the open world and even if you invite friends all you can do is take photos with them. You can choose to start one of the other modes from within the open world but we’re very surprised that you can’t set up your own point-to-point races (which would surely have been perfect for the mouse controls of the new Joy-Cons). Instead, all you can do is create a custom Grand Prix by choosing which track to go to once each one ends. We point all this out because these details weren’t clear beforehand and because it’s almost certainly going to be the main complaint against the game. But while it is certainly a missed opportunity, it doesn’t negatively affect the actual focus of the game. It seems that the ability to free roam is intended as essentially a bonus. The real changes to the game are in terms of the nature of the tracks, which rather than being a succession of completely unconnected circuits all flow from one to another. Often they’re not circuits at all, but linear races from one point to another, as you work your way across the world map. Since they’re all in the same corner of the world, a Grand Prix often has a consistent theme, such as snowy or desert levels, and specific elements, like dinosaurs or boos, can appear at the beginning and end of adjoining tracks, reinforcing the impression that it’s all one giant race (these sections are removed for Time Trials). The graphics are very impressive (Nintendo) That concept seems to have come first and the open world followed, even though technically it’s not needed – or at least not to the level of detail that Nintendo has gone with. But either way, the courses in Mario Kart World are excellent, with wildly different designs even for returning tracks. The new ones are especially good though, with Boo Cinema, where you travel through the screen and into the film itself, being our current favourite. Although the ones with Wave Race 64 style water physics are also all uniformly excellent. The action may seem similar in video clips but it’s really quite different to Mario Kart 8. And not just because of the wider roads, new enemies, and the fact that there’s now 24 racers on every track. There’s now far more shortcuts and alternate routes, which seems like it should end up making races feel disjointed and unbalanced but it doesn’t, thanks to the levelling effect of items and the fact that sooner or later everyone is still being funnelled down the same path. The abundance of point-to-point races is a significant change to the Mario Kart norm and not only does it spice up Grand Prix mode but it allows for the superb Knockout Tour. This is a far more significant addition than free roam, even though it’s a simple sudden death mode, where you have to reach a certain position by the end of a track or you’re out of the game. In Grand Prix you can try and make up for a bad performance in the next race but with Knockout the tension is sky high throughout, and it works brilliantly, especially online. When we started playing the game, on Wednesday afternoon, there were only a handful online, but over the course of Thursday morning the matches became full and everything came alive. Playing against 23 other humans also helps to emphasise the fact that while Mario Kart World does make certain things easier – like automatically holding items behind you as a shield or allowing for a little more leeway when escaping shells – this is absolutely still a game of skill. Playing online, we could see the same names consistently doing well and ourselves… enjoying the mid-table mediocrity that we usually do, when faced with talented opposition. Not that that ever put us off. On the contrary, we spent almost every match grinning inanely at the sheer Mario Kart-ness of it all. We will still need to play more to do a full review though – we haven’t played a lot on 150cc yet and we only got an hour or two with the online. However, at this point we do feel we’ve seen the basics of what the game is. More Trending It’s a strange one to be sure, in what is usually one of Nintendo’s most straightforward franchises, but while anyone can look at the open world and think of a dozen other things that could’ve been done with it, the actual racing is top notch. Mechanically it’s not significantly different from Mario Kart 8 but then the series is not a very malleable one, and this does as much as it can to mix things up – and all without resorting to gimmicks. In terms of a score, we’re not looking at a 10/10. Mario Kart World is many things but it’s not perfect, not like Mario Kart 8 Deluxe. We’ll have to spend more time with it to determine if it suits an 8 or 9/10 but longevity has never been a problem for the series, so we imagine it’ll be the higher of the two. Given how late Nintendo was in sending out consoles that’s all we can say for now but while this is not quite the game many will have been expecting, and it does leave a lot on the table (possibly to be picked up by DLC, but naturally Nintendo isn’t saying), it’s still an excellent game and a great introduction to the Switch 2. Formats: Nintendo Switch 2Price: £74.99 (physical) or £66.99 (digital)Publisher: NintendoDeveloper: Nintendo EPDRelease Date: 5th June 2025Age Rating: 3 There’s unlockable costumes for all the named characters (Nintendo) Email gamecentral@metro.co.uk, leave a comment below, follow us on Twitter. To submit Inbox letters and Reader’s Features more easily, without the need to send an email, just use our Submit Stuff page here. For more stories like this, check our Gaming page. GameCentral Sign up for exclusive analysis, latest releases, and bonus community content. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. 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Update: Check out our Link's Awakening S1/S2 comparison.VGC has shared its first look at The Legend of Zelda: Echoes of Wisdom and Link's Awakening running on the Switch 2.Both titles are fairly notorious for their performance issues on Switch, but judging from this early look, it seems that they have been improved drastically for the new system. That said, there are still a few hiccups – particularly in Echoes of Wisdom – in which the frame rate seems to randomly stutter for a second or two.Read the full article on nintendolife.com

Daft Punk were a French electronic music duo formed in 1993 in Paris by Thomas Bangalter (left) and Guy-Manuel de Homem-Christo. They achieved popularity in the late 1990s as part of the French house movement, combining house music, funk, disco, techno, rock and synth-pop. They are regarded as one of the most influential acts in dance music. From 1999, Daft Punk assumed robot personas for public appearances, with helmets, outfits and gloves to disguise their identities, and made few media appearances. In 2013, the band released their fourth and final album, Random Access Memories, to acclaim. The lead single, "Get Lucky", reached the top 10 in the charts of 27 countries. The album won five Grammy Awards in 2014, including Album of the Year and Record of the Year for "Get Lucky". This promotional photograph shows Daft Punk in 2013 after the release of Random Access Memories. Photograph credit: Sony Music; edited by W.carter Recently featured: Eastern quoll Battle of Diamond Rock Drosera capensis Archive More featured pictures

SVG animations take me back to the Hanna-Barbera cartoons I watched as a kid. Shows like Wacky Races, The Perils of Penelope Pitstop, and, of course, Yogi Bear. They inspired me to lovingly recreate some classic Toon Titles using CSS, SVG, and SMIL animations. But getting animations to load quickly and work smoothly needs more than nostalgia. It takes clean design, lean code, and a process that makes complex SVGs easier to animate. Here’s how I do it. Start Clean And Design With Optimisation In Mind Keeping things simple is key to making SVGs that are optimised and ready to animate. Tools like Adobe Illustrator convert bitmap images to vectors, but the output often contains too many extraneous groups, layers, and masks. Instead, I start cleaning in Sketch, work from a reference image, and use the Pen tool to create paths. Tip: Affinity Designer (UK) and Sketch (Netherlands) are alternatives to Adobe Illustrator and Figma. Both are independent and based in Europe. Sketch has been my default design app since Adobe killed Fireworks. Beginning With Outlines For these Toon Titles illustrations, I first use the Pen tool to draw black outlines with as few anchor points as possible. The more points a shape has, the bigger a file becomes, so simplifying paths and reducing the number of points makes an SVG much smaller, often with no discernible visual difference. Bearing in mind that parts of this Yogi illustration will ultimately be animated, I keep outlines for this Bewitched Bear’s body, head, collar, and tie separate so that I can move them independently. The head might nod, the tie could flap, and, like in those classic cartoons, Yogi’s collar will hide the joins between them. Drawing Simple Background Shapes With the outlines in place, I use the Pen tool again to draw new shapes, which fill the areas with colour. These colours sit behind the outlines, so they don’t need to match them exactly. The fewer anchor points, the smaller the file size. Sadly, neither Affinity Designer nor Sketch has tools that can simplify paths, but if you have it, using Adobe Illustrator can shave a few extra kilobytes off these background shapes. Optimising The Code It’s not just metadata that makes SVG bulkier. The way you export from your design app also affects file size. Exporting just those simple background shapes from Adobe Illustrator includes unnecessary groups, masks, and bloated path data by default. Sketch’s code is barely any better, and there’s plenty of room for improvement, even in its SVGO Compressor code. I rely on Jake Archibald’s SVGOMG, which uses SVGO v3 and consistently delivers the best optimised SVGs. Layering SVG Elements My process for preparing SVGs for animation goes well beyond drawing vectors and optimising paths — it also includes how I structure the code itself. When every visual element is crammed into a single SVG file, even optimised code can be a nightmare to navigate. Locating a specific path or group often feels like searching for a needle in a haystack. That’s why I develop my SVGs in layers, exporting and optimising one set of elements at a time — always in the order they’ll appear in the final file. This lets me build the master SVG gradually by pasting it in each cleaned-up section. For example, I start with backgrounds like this gradient and title graphic. Instead of facing a wall of SVG code, I can now easily identify the background gradient’s path and its associated linearGradient, and see the group containing the title graphic. I take this opportunity to add a comment to the code, which will make editing and adding animations to it easier in the future: <svg ...> <defs> <!-- ... --> </defs> <path fill="url(#grad)" d="…"/> <!-- TITLE GRAPHIC --> <g> <path … /> <!-- ... --> </g> </svg> Next, I add the blurred trail from Yogi’s airborne broom. This includes defining a Gaussian Blur filter and placing its path between the background and title layers: <svg ...> <defs> <linearGradient id="grad" …>…</linearGradient> <filter id="trail" …>…</filter> </defs> <!-- GRADIENT --> <!-- TRAIL --> <path filter="url(#trail)" …/> <!-- TITLE GRAPHIC --> </svg> Then come the magical stars, added in the same sequential fashion: <svg ...> <!-- GRADIENT --> <!-- TRAIL --> <!-- STARS --> <!-- TITLE GRAPHIC --> </svg> To keep everything organised and animation-ready, I create an empty group that will hold all the parts of Yogi: <g id="yogi">...</g> Then I build Yogi from the ground up — starting with background props, like his broom: <g id="broom">...</g> Followed by grouped elements for his body, head, collar, and tie: <g id="yogi"> <g id="broom">…</g> <g id="body">…</g> <g id="head">…</g> <g id="collar">…</g> <g id="tie">…</g> </g> Since I export each layer from the same-sized artboard, I don’t need to worry about alignment or positioning issues later on — they’ll all slot into place automatically. I keep my code clean, readable, and ordered logically by layering elements this way. It also makes animating smoother, as each component is easier to identify. Reusing Elements With <use> When duplicate shapes get reused repeatedly, SVG files can get bulky fast. My recreation of the “Bewitched Bear” title card contains 80 stars in three sizes. Combining all those shapes into one optimised path would bring the file size down to 3KB. But I want to animate individual stars, which would almost double that to 5KB: <g id="stars"> <path class="star-small" fill="#eae3da" d="..."/> <path class="star-medium" fill="#eae3da" d="..."/> <path class="star-large" fill="#eae3da" d="..."/> <!-- ... --> </g> Moving the stars’ fill attribute values to their parent group reduces the overall weight a little: <g id="stars" fill="#eae3da"> <path class="star-small" d="…"/> <path class="star-medium" d="…"/> <path class="star-large" d="…"/> <!-- ... --> </g> But a more efficient and manageable option is to define each star size as a reusable template: <defs> <path id="star-large" fill="#eae3da" fill-rule="evenodd" d="…"/> <path id="star-medium" fill="#eae3da" fill-rule="evenodd" d="…"/> <path id="star-small" fill="#eae3da" fill-rule="evenodd" d="…"/> </defs> With this setup, changing a star’s design only means updating its template once, and every instance updates automatically. Then, I reference each one using <use> and position them with x and y attributes: <g id="stars"> <!-- Large stars --> <use href="#star-large" x="1575" y="495"/> <!-- ... --> <!-- Medium stars --> <use href="#star-medium" x="1453" y="696"/> <!-- ... --> <!-- Small stars --> <use href="#star-small" x="1287" y="741"/> <!-- ... --> </g> This approach makes the SVG easier to manage, lighter to load, and faster to iterate on, especially when working with dozens of repeating elements. Best of all, it keeps the markup clean without compromising on flexibility or performance. Adding Animations The stars trailing behind Yogi’s stolen broom bring so much personality to the animation. I wanted them to sparkle in a seemingly random pattern against the dark blue background, so I started by defining a keyframe animation that cycles through different opacity levels: @keyframes sparkle { 0%, 100% { opacity: .1; } 50% { opacity: 1; } } Next, I applied this looping animation to every use element inside my stars group: #stars use { animation: sparkle 10s ease-in-out infinite; } The secret to creating a convincing twinkle lies in variation. I staggered animation delays and durations across the stars using nth-child selectors, starting with the quickest and most frequent sparkle effects: /* Fast, frequent */ #stars use:nth-child(n + 1):nth-child(-n + 10) { animation-delay: .1s; animation-duration: 2s; } From there, I layered in additional timings to mix things up. Some stars sparkle slowly and dramatically, others more randomly, with a variety of rhythms and pauses: /* Medium */ #stars use:nth-child(n + 11):nth-child(-n + 20) { ... } /* Slow, dramatic */ #stars use:nth-child(n + 21):nth-child(-n + 30) { ... } /* Random */ #stars use:nth-child(3n + 2) { ... } /* Alternating */ #stars use:nth-child(4n + 1) { ... } /* Scattered */ #stars use:nth-child(n + 31) { ... } By thoughtfully structuring the SVG and reusing elements, I can build complex-looking animations without bloated code, making even a simple effect like changing opacity sparkle. Then, for added realism, I make Yogi’s head wobble: @keyframes headWobble { 0% { transform: rotate(-0.8deg) translateY(-0.5px); } 100% { transform: rotate(0.9deg) translateY(0.3px); } } #head { animation: headWobble 0.8s cubic-bezier(0.5, 0.15, 0.5, 0.85) infinite alternate; } His tie waves: @keyframes tieWave { 0%, 100% { transform: rotateZ(-4deg) rotateY(15deg) scaleX(0.96); } 33% { transform: rotateZ(5deg) rotateY(-10deg) scaleX(1.05); } 66% { transform: rotateZ(-2deg) rotateY(5deg) scaleX(0.98); } } #tie { transform-style: preserve-3d; animation: tieWave 10s cubic-bezier(0.68, -0.55, 0.27, 1.55) infinite; } His broom swings: @keyframes broomSwing { 0%, 20% { transform: rotate(-5deg); } 30% { transform: rotate(-4deg); } 50%, 70% { transform: rotate(5deg); } 80% { transform: rotate(4deg); } 100% { transform: rotate(-5deg); } } #broom { animation: broomSwing 4s cubic-bezier(0.5, 0.05, 0.5, 0.95) infinite; } And, finally, Yogi himself gently rotates as he flies on his magical broom: @keyframes yogiWobble { 0% { transform: rotate(-2.8deg) translateY(-0.8px) scale(0.998); } 30% { transform: rotate(1.5deg) translateY(0.3px); } 100% { transform: rotate(3.2deg) translateY(1.2px) scale(1.002); } } #yogi { animation: yogiWobble 3.5s cubic-bezier(.37, .14, .3, .86) infinite alternate; } All these subtle movements bring Yogi to life. By developing structured SVGs, I can create animations that feel full of character without writing a single line of JavaScript. Try this yourself: See the Pen Bewitched Bear CSS/SVG animation [forked] by Andy Clarke. Conclusion Whether you’re recreating a classic title card or animating icons for an interface, the principles are the same: Start clean, Optimise early, and Structure everything with animation in mind. SVGs offer incredible creative freedom, but only if kept lean and manageable. When you plan your process like a production cell — layer by layer, element by element — you’ll spend less time untangling code and more time bringing your work to life.

Here are some hints and the answers for Connections for June 3, #723. Taylor Swift fans should get the blue category.

In 2025, it’s very difficult not to see gambling advertised everywhere. It’s on billboards and sports broadcasts. It’s on podcasts and printed on the turnbuckle of AEW’s pay-per-view shows. And it’s on app stores, where you can find the FanDuel and DraftKings sportsbooks, alongside glitzy digital slot machines. These apps all have the highest age ratings possible on Apple’s App Store and Google Play. But earlier this year, a different kind of app nearly disappeared from the Play Store entirely.Luck Be A Landlord is a roguelite deckbuilder from solo developer Dan DiIorio. DiIorio got word from Google in January 2025 that Luck Be A Landlord was about to be pulled, globally, because DiIorio had not disclosed the game’s “gambling themes” in its rating.In Luck Be a Landlord, the player takes spins on a pixel art slot machine to earn coins to pay their ever-increasing rent — a nightmare gamification of our day-to-day grind to remain housed. On app stores, it’s a one-time purchase of $4.99, and it’s $9.99 on Steam. On the Play Store page, developer Dan DiIorio notes, “This game does not contain any real-world currency gambling or microtransactions.”And it doesn’t. But for Google, that didn’t matter. First, the game was removed from the storefront in a slew of countries that have strict gambling laws. Then, at the beginning of 2025, Google told Dilorio that Luck Be A Landlord would be pulled globally because of its rating discrepancy, as it “does not take into account references to gambling (including real or simulated gambling)”.DiIorio had gone through this song and dance before — previously, when the game was blocked, he would send back a message saying “hey, the game doesn’t have gambling,” and then Google would send back a screenshot of the game and assert that, in fact, it had.DiIorio didn’t agree, but this time they decided that the risk of Landlord getting taken down permanently was too great. They’re a solo developer, and Luck Be a Landlord had just had its highest 30-day revenue since release. So, they filled out the form confirming that Luck Be A Landlord has “gambling themes,” and are currently hoping that this will be the end of it.This is a situation that sucks for an indie dev to be in, and over email DiIorio told Polygon it was “very frustrating.”“I think it can negatively affect indie developers if they fall outside the norm, which indies often do,” they wrote. “It also makes me afraid to explore mechanics like this further. It stifles creativity, and that’s really upsetting.”In late 2024, the hit game Balatro was in a similar position. It had won numerous awards, and made $1,000,000 in its first week on mobile platforms. And then overnight, the PEGI ratings board declared that the game deserved an adult rating.The ESRB had already rated it E10+ in the US, noting it has gambling themes. And the game was already out in Europe, making its overnight ratings change a surprise. Publisher PlayStack said the rating was given because Balatro has “prominent gambling imagery and material that instructs about gambling.”Balatro is basically Luck Be A Landlord’s little cousin. Developer LocalThunk was inspired by watching streams of Luck Be A Landlord, and seeing the way DiIorio had implemented deck-building into his slot machine. And like Luck Be A Landlord, Balatro is a one-time purchase, with no microtransactions.But the PEGI board noted that because the game uses poker hands, the skills the player learns in Balatro could translate to real-world poker.In its write-up, GameSpot noted that the same thing happened to a game called Sunshine Shuffle. It was temporarily banned from the Nintendo eShop, and also from the entire country of South Korea. Unlike Balatro, Sunshine Shuffle actually is a poker game, except you’re playing Texas Hold ‘Em — again for no real money — with cute animals (who are bank robbers).It’s common sense that children shouldn’t be able to access apps that allow them to gamble. But none of these games contain actual gambling — or do they?Where do we draw the line? Is it gambling to play any game that is also played in casinos, like poker or blackjack? Is it gambling to play a game that evokes the aesthetics of a casino, like cards, chips, dice, or slot machines? Is it gambling to wager or earn fictional money?Gaming has always been a lightning rod for controversy. Sex, violence, misogyny, addiction — you name it, video games have been accused of perpetrating or encouraging it. But gambling is gaming’s original sin. And it’s the one we still can’t get a grip on.The original link between gambling and gamingGetty ImagesThe association between video games and gambling all goes back to pinball. Back in the ’30s and ’40s, politicians targeted pinball machines for promoting gambling. Early pinball machines were less skill-based (they didn’t have flippers), and some gave cash payouts, so the comparison wasn’t unfair. Famously, mob-hating New York City mayor Fiorello LaGuardia banned pinball in the city, and appeared in a newsreel dumping pinball and slot machines into the Long Island Sound. Pinball machines spent some time relegated to the back rooms of sex shops and dive bars. But after some lobbying, the laws relaxed.By the 1970s, pinball manufacturers were also making video games, and the machines were side-by-side in arcades. Arcade machines, like pinball, took small coin payments, repeatedly, for short rounds of play. The disreputable funk of pinball basically rubbed off onto video games.Ever since video games rocked onto the scene, concerned and sometimes uneducated parties have been asking if they’re dangerous. And in general, studies have shown that they’re not. The same can’t be said about gambling — the practice of putting real money down to bet on an outcome.It’s a golden age for gambling2025 in the USA is a great time for gambling, which has been really profitable for gambling companies — to the tune of $66.5 billion dollars of revenue in 2023.To put this number in perspective, the American Gaming Association, which is the casino industry’s trade group and has nothing to do with video games, reports that 2022’s gambling revenue was $60.5 billion. It went up $6 billion in a year.And this increase isn’t just because of sportsbooks, although sports betting is a huge part of it. Online casinos and brick-and-mortar casinos are both earning more, and as a lot of people have pointed out, gambling is being normalized to a pretty disturbing degree.Much like with alcohol, for a small percentage of people, gambling can tip from occasional leisure activity into addiction. The people who are most at risk are, by and large, already vulnerable: researchers at the Yale School of Medicine found that 96% of problem gamblers are also wrestling with other disorders, such as “substance use, impulse-control disorders, mood disorders, and anxiety disorders.”Even if you’re not in that group, there are still good reasons to be wary of gambling. People tend to underestimate their own vulnerability to things they know are dangerous for others. Someone else might bet beyond their means. But I would simply know when to stop.Maybe you do! But being blithely confident about it can make it hard to notice if you do develop a problem. Or if you already have one.Addiction changes the way your brain works. When you’re addicted to something, your participation in it becomes compulsive, at the expense of other interests and responsibilities. Someone might turn to their addiction to self-soothe when depressed or anxious. And speaking of those feelings, people who are depressed and anxious are already more vulnerable to addiction. Given the entire state of the world right now, this predisposition shines an ugly light on the numbers touted by the AGA. Is it good that the industry is reporting $6 billion in additional earnings, when the economy feels so frail, when the stock market is ping ponging through highs and lows daily, when daily expenses are rising? It doesn’t feel good. In 2024, the YouTuber Drew Gooden turned his critical eye to online gambling. One of the main points he makes in his excellent video is that gambling is more accessible than ever. It’s on all our phones, and betting companies are using decades of well-honed app design and behavioral studies to manipulate users to spend and spend.Meanwhile, advertising on podcasts, billboards, TV, radio, and websites – it’s literally everywhere — tells you that this is fun, and you don’t even need to know what you’re doing, and you’re probably one bet away from winning back those losses.Where does Luck Be a Landlord come into this?So, are there gambling themes in Luck Be A Landlord? The game’s slot machine is represented in simple pixel art. You pay one coin to use it, and among the more traditional slot machine symbols are silly ones like a snail that only pays out after 4 spins.When I started playing it, my primary emotion wasn’t necessarily elation at winning coins — it was stress and disbelief when, in the third round of the game, the landlord increased my rent by 100%. What the hell.I don’t doubt that getting better at it would produce dopamine thrills akin to gambling — or playing any video game. But it’s supposed to be difficult, because that’s the joke. If you beat the game you unlock more difficulty modes where, as you keep paying rent, your landlord gets furious, and starts throwing made-up rules at you: previously rare symbols will give you less of a payout, and the very mechanics of the slot machine change.It’s a manifestation of the golden rule of casinos, and all of capitalism writ large: the odds are stacked against you. The house always wins. There is luck involved, to be sure, but because Luck Be A Landlord is a deck-builder, knowing the different ways you can design your slot machine to maximize payouts is a skill! You have some influence over it, unlike a real slot machine. The synergies that I’ve seen high-level players create are completely nuts, and obviously based on a deep understanding of the strategies the game allows.IMAGE: TrampolineTales via PolygonBalatro and Luck Be a Landlord both distance themselves from casino gambling again in the way they treat money. In Landlord, the money you earn is gold coins, not any currency we recognize. And the payouts aren’t actually that big. By the end of the core game, the rent money you’re struggling and scraping to earn… is 777 coins. In the post-game endless mode, payouts can get massive. But the thing is, to get this far, you can’t rely on chance. You have to be very good at Luck Be a Landlord.And in Balatro, the numbers that get big are your points. The actual dollar payments in a round of Balatro are small. These aren’t games about earning wads and wads of cash. So, do these count as “gambling themes”?We’ll come back to that question later. First, I want to talk about a closer analog to what we colloquially consider gambling: loot boxes and gacha games.Random rewards: from Overwatch to the rise of gachaRecently, I did something that I haven’t done in a really long time: I thought about Overwatch. I used to play Overwatch with my friends, and I absolutely made a habit of dropping 20 bucks here or there for a bunch of seasonal loot boxes. This was never a problem behavior for me, but in hindsight, it does sting that over a couple of years, I dropped maybe $150 on cosmetics for a game that now I primarily associate with squandered potential.Loot boxes grew out of free-to-play mobile games, where they’re the primary method of monetization. In something like Overwatch, they functioned as a way to earn additional revenue in an ongoing game, once the player had already dropped 40 bucks to buy it.More often than not, loot boxes are a random selection of skins and other cosmetics, but games like Star Wars: Battlefront 2 were famously criticized for launching with loot crates that essentially made it pay-to-win – if you bought enough of them and got lucky.It’s not unprecedented to associate loot boxes with gambling. A 2021 study published in Addictive Behaviors showed that players who self-reported as problem gamblers also tended to spend more on loot boxes, and another study done in the UK found a similar correlation with young adults.While Overwatch certainly wasn’t the first game to feature cosmetic loot boxes or microtransactions, it’s a reference point for me, and it also got attention worldwide. In 2018, Overwatch was investigated by the Belgian Gaming Commission, which found it “in violation of gambling legislation” alongside FIFA 18 and Counter-Strike: Global Offensive. Belgium’s response was to ban the sale of loot boxes without a gambling license. Having a paid random rewards mechanic in a game is a criminal offense there. But not really. A 2023 study showed that 82% of iPhone games sold on the App Store in Belgium still use random paid monetization, as do around 80% of games that are rated 12+. The ban wasn’t effectively enforced, if at all, and the study recommends that a blanket ban wouldn’t actually be a practical solution anyway.Overwatch was rated T for Teen by the ESRB, and 12 by PEGI. When it first came out, its loot boxes were divisive. Since the mechanic came from F2P mobile games, which are often seen as predatory, people balked at seeing it in a big action game from a multi-million dollar publisher.At the time, the rebuttal was, “Well, at least it’s just cosmetics.” Nobody needs to buy loot boxes to be good at Overwatch.A lot has changed since 2016. Now we have a deeper understanding of how these mechanics are designed to manipulate players, even if they don’t affect gameplay. But also, they’ve been normalized. While there will always be people expressing disappointment when a AAA game has a paid random loot mechanic, it is no longer shocking.And if anything, these mechanics have only become more prevalent, thanks to the growth of gacha games. Gacha is short for “gachapon,” the Japanese capsule machines where you pay to receive one of a selection of random toys. Getty ImagesIn gacha games, players pay — not necessarily real money, but we’ll get to that — for a chance to get something. Maybe it’s a character, or a special weapon, or some gear — it depends on the game. Whatever it is, within that context, it’s desirable — and unlike the cosmetics of Overwatch, gacha pulls often do impact the gameplay.For example, in Infinity Nikki, you can pull for clothing items in these limited-time events. You have a chance to get pieces of a five-star outfit. But you also might pull one of a set of four-star items, or a permanent three-star piece. Of course, if you want all ten pieces of the five-star outfit, you have to do multiple pulls, each costing a handful of limited resources that you can earn in-game or purchase with money.Gacha was a fixture of mobile gaming for a long time, but in recent years, we’ve seen it go AAA, and global. MiHoYo’s Genshin Impact did a lot of that work when it came out worldwide on consoles and PC alongside its mobile release. Genshin and its successors are massive AAA games of a scale that, for your Nintendos and Ubisofts, would necessitate selling a bajillion copies to be a success. And they’re free.Genshin is an action game, whose playstyle changes depending on what character you’re playing — characters you get from gacha pulls, of course. In Zenless Zone Zero, the characters you can pull have different combo patterns, do different kinds of damage, and just feel different to play. And whereas in an early mobile gacha game like Love Nikki Dress UP! Queen the world was rudimentary, its modern descendant Infinity Nikki is, like Genshin, Breath of the Wild-esque. It is a massive open world, with collectibles and physics puzzles, platforming challenges, and a surprisingly involved storyline. Genshin Impact was the subject of an interesting study where researchers asked young adults in Hong Kong to self-report on their gacha spending habits. They found that, like with gambling, players who are not feeling good tend to spend more. “Young adult gacha gamers experiencing greater stress and anxiety tend to spend more on gacha purchases, have more motives for gacha purchases, and participate in more gambling activities,” they wrote. “This group is at a particularly higher risk of becoming problem gamblers.”One thing that is important to note is that Genshin Impact came out in 2020. The study was self-reported, and it was done during the early stages of the COVID-19 pandemic. It was a time when people were experiencing a lot of stress, and also fewer options to relieve that stress. We were all stuck inside gaming.But the fact that stress can make people more likely to spend money on gacha shows that while the gacha model isn’t necessarily harmful to everyone, it is exploitative to everyone. Since I started writing this story, another self-reported study came out in Japan, where 18.8% of people in their 20s say they’ve spent money on gacha rather than on things like food or rent.Following Genshin Impact’s release, MiHoYo put out Honkai: Star Rail and Zenless Zone Zero. All are shiny, big-budget games that are free to play, but dangle the lure of making just one purchase in front of the player. Maybe you could drop five bucks on a handful of in-game currency to get one more pull. Or maybe just this month you’ll get the second tier of rewards on the game’s equivalent of a Battle Pass. The game is free, after all — but haven’t you enjoyed at least ten dollars’ worth of gameplay? Image: HoyoverseI spent most of my December throwing myself into Infinity Nikki. I had been so stressed, and the game was so soothing. I logged in daily to fulfill my daily wishes and earn my XP, diamonds, Threads of Purity, and bling. I accumulated massive amounts of resources. I haven’t spent money on the game. I’m trying not to, and so far, it’s been pretty easy. I’ve been super happy with how much stuff I can get for free, and how much I can do! I actually feel really good about that — which is what I said to my boyfriend, and he replied, “Yeah, that’s the point. That’s how they get you.”And he’s right. Currently, Infinity Nikki players are embroiled in a war with developer Infold, after Infold introduced yet another currency type with deep ties to Nikki’s gacha system. Every one of these gacha games has its own tangled system of overlapping currencies. Some can only be used on gacha pulls. Some can only be used to upgrade items. Many of them can be purchased with human money.Image: InFold Games/Papergames via PolygonAll of this adds up. According to Sensor Towers’ data, Genshin Impact earned over 36 million dollars on mobile alone in a single month of 2024. I don’t know what Dan DiIorio’s peak monthly revenue for Luck Be A Landlord was, but I’m pretty sure it wasn’t that.A lot of the spending guardrails we see in games like these are actually the result of regulations in other territories, especially China, where gacha has been a big deal for a lot longer. For example, gacha games have a daily limit on loot boxes, with the number clearly displayed, and a system collectively called “pity,” where getting the banner item is guaranteed after a certain number of pulls. Lastly, developers have to be clear about what the odds are. When I log in to spend the Revelation Crystals I’ve spent weeks hoarding in my F2P Infinity Nikki experience, I know that I have a 1.5% chance of pulling a 5-star piece, and that the odds can go up to 6.06%, and that I am guaranteed to get one within 20 pulls, because of the pity system.So, these odds are awful. But it is not as merciless as sitting down at a Vegas slot machine, an experience best described as “oh… that’s it?”There’s not a huge philosophical difference between buying a pack of loot boxes in Overwatch, a pull in Genshin Impact, or even a booster of Pokémon cards. You put in money, you get back randomized stuff that may or may not be what you want. In the dictionary definition, it’s a gamble. But unlike the slot machine, it’s not like you’re trying to win money by doing it, unless you’re selling those Pokémon cards, which is a topic for another time.But since even a game where you don’t get anything, like Balatro or Luck Be A Landlord, can come under fire for promoting gambling to kids, it would seem appropriate for app stores and ratings boards to take a similarly hardline stance with gacha.Instead, all these games are rated T for Teen by the ESRB, and PEGI 12 in the EU.The ESRB ratings for these games note that they contain in-game purchases, including random items. Honkai: Star Rail’s rating specifically calls out a slot machine mechanic, where players spend tokens to win a prize. But other than calling out Honkai’s slot machine, app stores are not slapping Genshin or Nikki with an 18+ rating. Meanwhile, Balatro had a PEGI rating of 18 until a successful appeal in February 2025, and Luck Be a Landlord is still 17+ on Apple’s App Store.Nobody knows what they’re doingWhen I started researching this piece, I felt very strongly that it was absurd that Luck Be A Landlord and Balatro had age ratings this high.I still believe that the way both devs have been treated by ratings boards is bad. Threatening an indie dev with a significant loss of income by pulling their game is bad, not giving them a way to defend themself or help them understand why it’s happening is even worse. It’s an extension of the general way that too-big-to-fail companies like Google treat all their customers.DiIorio told me that while it felt like a human being had at least looked at Luck Be A Landlord to make the determination that it contained gambling themes, the emails he was getting were automatic, and he doesn’t have a contact at Google to ask why this happened or how he can avoid it in the future — an experience that will be familiar to anyone who has ever needed Google support. But what’s changed for me is that I’m not actually sure anymore that games that don’t have gambling should be completely let off the hook for evoking gambling.Exposing teens to simulated gambling without financial stakes could spark an interest in the real thing later on, according to a study in the International Journal of Environmental Research and Public Health. It’s the same reason you can’t mosey down to the drug store to buy candy cigarettes. Multiple studies were done that showed kids who ate candy cigarettes were more likely to take up smoking (of course, the candy is still available — just without the “cigarette” branding.)So while I still think rating something like Balatro 18+ is nuts, I also think that describing it appropriately might be reasonable. As a game, it’s completely divorced from literally any kind of play you would find in a casino — but I can see the concern that the thrill of flashy numbers and the shiny cards might encourage young players to try their hand at poker in a real casino, where a real house can take their money.Maybe what’s more important than doling out high age ratings is helping people think about how media can affect us. In the same way that, when I was 12 and obsessed with The Matrix, my parents gently made sure that I knew that none of the violence was real and you can’t actually cartwheel through a hail of bullets in real life. Thanks, mom and dad!But that’s an answer that’s a lot more abstract and difficult to implement than a big red 18+ banner. When it comes to gacha, I think we’re even less equipped to talk about these game mechanics, and I’m certain they’re not being age-rated appropriately. On the one hand, like I said earlier, gacha exploits the player’s desire for stuff that they are heavily manipulated to buy with real money. On the other hand, I think it’s worth acknowledging that there is a difference between gacha and casino gambling.Problem gamblers aren’t satisfied by winning — the thing they’re addicted to is playing, and the risk that comes with it. In gacha games, players do report satisfaction when they achieve the prize they set out to get. And yes, in the game’s next season, the developer will be dangling a shiny new prize in front of them with the goal of starting the cycle over. But I think it’s fair to make the distinction, while still being highly critical of the model.And right now, there is close to no incentive for app stores to crack down on gacha in any way. They get a cut of in-app purchases. Back in 2023, miHoYo tried a couple of times to set up payment systems that circumvented Apple’s 30% cut of in-app spending. Both times, it was thwarted by Apple, whose App Store generated $1.1 trillion in developer billings and sales in 2022.According to Apple itself, 90% of that money did not include any commission to Apple. Fortunately for Apple, ten percent of a trillion dollars is still one hundred billion dollars, which I would also like to have in my bank account. Apple has zero reason to curb spending on games that have been earning millions of dollars every month for years.And despite the popularity of Luck Be A Landlord and Balatro’s massive App Store success, these games will never be as lucrative. They’re one-time purchases, and they don’t have microtransactions. To add insult to injury, like most popular games, Luck Be A Landlord has a lot of clones. And from what I can tell, it doesn’t look like any of them have been made to indicate that their games contain the dreaded “gambling themes” that Google was so worried about in Landlord.In particular, a game called SpinCraft: Roguelike from Sneaky Panda Games raised $6 million in seed funding for “inventing the Luck-Puzzler genre,” which it introduced in 2022, while Luck Be A Landlord went into early access in 2021.It’s free-to-play, has ads and in-app purchases, looks like Fisher Price made a slot machine, and it’s rated E for everyone, with no mention of gambling imagery in its rating. I reached out to the developers to ask if they had also been contacted by the Play Store to disclose that their game has gambling themes, but I haven’t heard back.Borrowing mechanics in games is as old as time, and it’s something I in no way want to imply shouldn’t happen because copyright is the killer of invention — but I think we can all agree that the system is broken.There is no consistency in how games with random chance are treated. We still do not know how to talk about gambling, or gambling themes, and at the end of the day, the results of this are the same: the house always wins.See More: