![\"\"](\"https:\/\/www.europesays.com\/golf\/wp-content\/uploads\/2026\/07\/GD0626_WELL_AI_02-1-878x1024.webp\")
<\/p>\nA golf trip\u00a0in Silicon Valley\u00a0reveals some answers\u00a0 good and scary\u00a0about the future.<\/p>\n
Driving into San Francisco from the airport recently, I passed a billboard that said, \u201cWelcome to AI country. Population: Everyone.\u201d That\u202fseemed to capture\u202fthings well.\u00a0<\/p>\n
The next day,\u202fI\u202fwas at the magnificent Cal Club, momentarily forgetting\u202fhow AI had become an inescapable part of daily life. I found myself in a bad spot on the 10th hole, facing 200 yards\u202fuphill\u202ffrom chewy rough, a shot that also\u202frequired\u202fa fade around a troop of Monterey Cypress. My strategic process\u202fproceeded\u202fas per usual, which can be summed up as, close eyes and swing.\u202f\u00a0<\/p>\n
But then I remembered,\u202fWait,\u202fmust consult the algorithms. In my mission to better understand golf\u2019s convergence with artificial intelligence, I was getting to try some products before they hit the market. The Arccos\u202fAI smart laser looks like any rangefinder except it pairs with your phone and a tracking device the size of an earbuds case you keep in your pocket.\u202fTogether,\u202fthese tools gathered and assessed available data points \u2013 distance, wind, gusts, slope, elevation, temperature, humidity, hole location, green shape, bunkering and somewhat unnervingly, my anticipated\u202fperformance. The app\u202fon my phone advised\u202fa wedge-out of 90 yards to leave a third of\u202f110 yards, showing precisely where it wanted me to aim on a map of the hole and with which club. This advice was intended to give me an outside chance at a\u202fpar,\u202fprobably make\u202fbogey.<\/p>\n
Me being me, I reached for a 4-iron.<\/p>\n
Ten minutes later, walking off the green with a triple, I reflected on how AI\u2019s future impact on golf might be bottomlessly complex, but how in another sense, it all comes down to one basic question: Given that AI\u202fstands to\u202finfluence\u202fpractically every\u202fcomponent\u202fof the game, is this good\u202for bad?\u202f\u00a0<\/p>\n
The term AI is\u202fa broad tent under which many different processes take place. A useful analogy\u202fis\u202fto think of AI as a shopping mall. The AI mall has a major anchor tenant, which in this case is machine learning, the brute-force computing tool that\u202fidentifies\u202fpatterns and relationships through data comparison. Then there are smaller shops for specific products, such as large language models (LLMs), which are very much behind the public AI boom in that they have facilitated mass access to AI via the approximation of plain speech. Other shops include the generative AI store, where you can \u201cgenerate\u201d things that didn\u2019t previously exist (\u201cClaude, please take all these individual expenses and create a single new monthly household budget spreadsheet.\u201d). There is also the robotics-gadget store, the neural network store for facial recognition, and so on. Every outlet in the AI mall is offering some kind of simulated intelligence product, but machine learning makes up 80 to 90 percent\u202fof retail volume.\u202f
Just as a normal mall needs a constant flow of foot traffic to survive, the AI
mall must endlessly harvest data to double as both foot traffic and inventory.\u202f\u00a0<\/p>\n
Wander down a spur aisle of the AI mall and\u202fyou\u2019ll\u202falso\u202ffind the golf shop.\u202fIt\u2019s\u202fnot the biggest,\u202fbut we golfers\u202fdo\u202flove gadgets and tech. The AI golf shop has products for\u202fswing analysis, mental-game\u202fassistance\u202fand on-course strategy.\u202fAI is also being used in\u202fclub design,\u202fagronomy, tournament organisation and custom fitting.\u202fSome of the more\u202faccessible\u202fDIY\u202fapplications include golfers using\u202fit\u202fto plan\u202f efficient\u202fgolf travel itineraries\u202for settle bets with\u202fonerous\u202fmaths.\u202f\u00a0<\/p>\n
Mike Zisman, founder and chief executive of Golf Genius, adds\u202fthat \u201cEven if to the public AI is relatively novel, it\u2019s actually been evolving for decades.\u201d\u202fIt\u2019s\u202falso important to remember, he says, that amid so much talk of Artificial General Intelligence (AGI) one day taking over humanity, AI today is mostly one thing: our anchor tenant, machine learning. AI\u202f remains\u202fprimarily a marriage between maths and\u202fmind-boggling\u202famounts of\u202fcomputing\u202fpower\u202fenabled by even more\u202fmind-boggling\u202famounts of electricity. Hence,\u202fdata centres so vast condensation from the water\u202fused\u202fto cool the machines\u202fgenerates\u202findoor rain.\u202fWe are deploying\u202fcomputing power ceaselessly\u202fto\u202fhoover up,\u202fassess\u202fand compare data to predict and then provide answers to our questions.\u00a0<\/p>\n
This\u202fsimulates\u202fhuman intelligence. Will it\u202fhelp us become better golfers?\u00a0<\/p>\n
<\/p>\n
COURSE MANAGEMENT\u202f\u00a0<\/p>\n
While in the San Francisco Bay Area, I\u202falso\u202fplayed\u202fat Lake Merced Golf Club, which\u202fhas been recently restored, and there was a certain cognitive dissonance\u202fin\u202ftalking about AI in such natural surroundings. I mentioned to\u202fmy playing partner, David Lee-Tolley, the vice-president of product for\u202fArccos,\u202fhow\u202fit\u202fall felt a bit mechanistic, a little cold. Where, I wondered, do feel, intuition and experience fit into all this?\u202f\u202f\u00a0<\/p>\n
\u201cTo me, the relationship between AI and\u202ffeel\u202fis complementary,\u201d\u202f Lee-Tolley\u202fsaid.\u202fHis opinion was that\u202fAI might help\u202fme\u202fdiscover, for instance, that\u202fI\u2019m\u202fbetter from 90 yards than 50\u202fyards,\u202fand so\u202fI might\u202freplicate\u202fmy\u202f90-yard process with those shorter shots. Golfers who took the time to capture data in the past (remember the days of pacing off distances?) and who were willing to do their own maths and analysis might have uncovered similar insights, but AI can recommend strategies for the laziest among us in seconds. \u00a0<\/p>\n
There\u2019s cognitive bias in all of us, says Arccos chief executive and founder Sal Syed,\u202fin the way\u202fmost\u202fpeople\u202fbelieve they are above-average car drivers. \u201cWe are trying to have people make shot selections based on their average shot, not their one-in-a-million shot.\u201d\u202f\u00a0<\/p>\n
Both\u202fMatthew Fitzpatrick and Edoardo Molinari are Arccos ambassadors who\u202fuse\u202fits product to plot out course strategies based on probabilities, so\u202fthere\u2019s\u202fan argument to be made that AI\u202fhelped the Europeans win the Ryder Cup at Bethpage. As with most tech, it gets easier the more you use it, and as with many AI products, the more you use it, the more it \u201clearns\u201d about you. This happens through a twin-track machine-learning process of analysing your individual results while also clustering you with other golfers who have similar results so that it can make increasingly informed recommendations about what you and your level of player ought to do in any given situation.\u202f\u00a0<\/p>\n
Golfshot, which is owned by Golf Genius,\u202fgathers your shot data\u202fthrough the Apple watch. John Hawley, the chief technology officer of Golfshot, says that the collection and interpretation of data might seem impressive now, but where AI is going to shine in the future will be when refinements allow for verbal dialogue between player and app. \u201cOne day there will be a true on-course caddie AI app,\u201d Hawley says, \u201can app that assesses all the data and then literally has a strategic conversation with you.\u201d\u202f\u00a0<\/p>\n
That feature\u202fisn\u2019t\u202fhere yet. LLMs or SLMs can have conversations, but\u202fit\u2019s\u202ftaking the golf industry time to \u201ccreate the right experience\u201d Hawley says. In other words, yes, there is sufficient tech right now to create an app that could offer golf counsel via conversation in the mid-round moment. But\u202fyou\u2019d have to be connected to the internet, it would have to go through an app, it would need extremely precise inputs from the golfer, it would have to be concise and pitched to the linguistic level of the user, and it would have to be seamless in terms of timing and access. As a golfer, you\u202fdon\u2019t\u202fwant to have to fiddle with\u202fall that\u202fbefore every shot. Golf already takes too long. Not to mention, an AI caddie app is currently against the rules, strictly speaking.\u202f\u00a0<\/p>\n
\u202f\u201cWe can\u2019t ask people to pause playing golf to become immersed in an application,\u201d\u202fHawley\u202fsays. \u201cThe interactions need to be easily accessed, unintrusive and not interrupt the golfer\u2019s natural flow. That can take a lot of time to get right, but\u202fthat\u2019s\u202fwhere the\u202fexperimentation\u202fis right now. It\u2019s coming.\u201d\u202f\u00a0<\/p>\n
THE MENTAL GAME\u202f\u00a0<\/p>\n
Of course, all the AI\u202fstrategy\u202fin the world\u202fwon\u2019t\u202fhelp much if you struggle with your state of mind. Deborah Graham is a sports psychologist who has worked with many pros, and she believes AI\u202fis set to\u202fhave\u202fa big impact.\u202f\u00a0<\/p>\n
\u201cI can see so many ways AI could help golfers,\u201d she says, citing areas such as\u202fpersonalised mental-skill tools, tracking mental-performance patterns, real-time emotional health consults and access\u202fto\u202fan\u202fAI mental coach 24\/7.\u202fMost\u202fgolfers\u202fdon\u2019t\u202fuse a sports psychologist because it can be expensive and\u202ffeel\u202flike a \u201cserious\u201d player thing. But if\u202fit\u2019s\u202fcheaper and\u202fthere\u2019s\u202fno\u202fself-judgment, a 16-handicapper might access personalised mental training as readily as a pro. Still, there\u202fwill\u202fbe risks, primarily that we could develop too much trust in something that, no matter how friendly it sounds, is still just an algorithm. \u201cAI might misinterpret cultural differences, sarcasm, context, and either scare people unnecessarily or miss serious issues, like clinical depression masked as post-loss emotion,\u201d Graham warns.\u202f\u202f\u00a0<\/p>\n
Making myself the guinea pig, before and after\u202fseveral\u202frounds I\u202fused\u202fMind Caddie, a sport-psychology app featuring \u201cAI Karl\u201d, which is based on the work of Karl Morris, the European mental-game coach who has worked with\u202fpros such as\u202fLouis Oosthuizen. I fed some thoughts and feelings\u202finto AI Karl as written text, concerns about my dealing with pressure and losing focus. For instance, I told AI Karl, \u201cI find that I really struggle with success. Whenever I am four or five holes from finishing off a great round, I start waiting for the disaster to happen \u2013 and it always does.\u201d The responses, generated by a combination of machine learning and an LLM, came back\u202fquickly\u202fas text advice that was certainly relevant to my questions, but the suggestions (keep a journal, do breathing exercises) felt\u202frather boilerplate.\u202f<\/p>\n
Although, I must say it was nice to finally find a companion willing to enthusiastically listen to narrative recreations of my rounds shot by shot. Therein lies one of the true dangers of AI: simulated empathy still touches something inside us.\u00a0<\/p>\n
Graham believes AI\u202fwill become a\u202fpowerful tool to complement \u2013 but never replace \u2013 human psychologists. The field will\u202flikely shift, she feels, towards psychologists becoming \u201cAI-augmented experts\u201d who can take information about their clients that AI has gathered and interpret what it means, override it\u202fwhen\u202fnecessary and offer a human reflection.\u202fOf course, the complementary,\u202fAI-augmented human\u202ffuture is\u202fsort of a\u202fblanket\u202fassessment these days\u202ffor just about any industry that uses AI, which means all of them. AI will \u201caugment\u201d your banking skills, your travelling plans, your recipe box, your family dynamics \u2013 and that\u2019s just what we can see. What we don\u2019t see is that every piece of public or private information we feed into an AI program might assist us, but it\u2019s also being used by AI to make itself better at simulating and reflecting us. AI is a constantly evolving mirror that looks more deeply into us every time we look into it.\u00a0 \u00a0<\/p>\n
It\u2019s\u202falso entirely possible that one day,\u202fsooner rather than later,\u202fyour AI mental coach will listen to what you are telling it but will also be scanning your physiological data through a wearable device. Your blood pressure, heart rate, body\u202ftemperature\u202fand sleep quality might\u202fbe indicating\u202fthat you are feeling tense, under pressure, tired,\u202ffrightened\u202for overstimulated. AI\u202fcan\u202frecommend a response to this information, but, says Graham, \u201conly a human sport psychologist could come in and say,\u202fOK, what is the underlying issue causing all this? Some players have tremendous self-awareness, but many\u202fdon\u2019t. AI\u202fcan\u2019t\u202fdo that\u202fexploration,\u202fand it\u202fcan\u2019t\u202fprovide genuine empathy.\u201d<\/p>\n
Well, not yet anyway.\u202f\u00a0<\/p>\n
SWING TIPS\u202f\u00a0<\/p>\n
AI\u202fassistance\u202fwith strategy and mental game\u202fare potentially valuable, but you still\u202fmust\u202fswing the\u202fclub. I\u202ftested\u202fsome\u202fAI swing-analysis tools at the Stanford Golf Course, which\u202fwinds through the deep valleys and high hills of the Santa Cruz mountains. At certain points you can see the ochre-tiled roofs of the campus buildings and the spires of downtown San Francisco.\u202f\u00a0<\/p>\n
The US edition of Golf Digest has a business relationship with\u202fMustard,\u202fso I tried its app first.\u202fMustard started as an athlete-analysis tool for baseball pitchers five years ago, co-founded by former MLB player and pitching coach Tom House. The company spent two years developing its golf app with help from investors Justin Rose and Mark\u202fBlackburn \u2013 voted No.1 on Golf Digest\u2019s 50 Best Teachers in America \u2013 and other experts in motion analysis and coaching.\u202fI filmed one\u202fswing video\u202fand\u202fin about a minute,\u202fgot\u202fan assessment of my swing with\u202f\u201cscores\u201d\u202fin various areas, not raw data.\u202fThe app\u202fuses something called computer-vision technology to\u202flocate\u202fall the major joints in the body and track their movement. Then, it taps AI to compare the data against tens of thousands of 3-D swing models. Most of the advice it offered on how I could improve seemed manageable, or more manageable than finding a teacher.\u00a0<\/p>\n
\u201cEvery great coach has frameworks they use to analyse players,\u201d says\u202fMustard co-founder and chief executive Rocky Collis. \u201cWe spent thousands of hours with golf\u2019s best coaches and turned their frameworks into algorithms, so that Mustard personalises instruction the way a top coach like Mark Blackburn would.\u201d\u202f\u202f I also\u202ftried\u202fSportsbox\u202fAI,\u202fwhere,\u202fsimilarly, you\u202fupload a smartphone video of your swing\u202fwithin\u202fan\u202fapp\u202fand get results in about a minute.\u202fThe company was founded in 2020 as a breakaway from\u202fVoicebox, the company that provided natural voice recognition for Samsung.\u202fJeehae\u202fLee,\u202fSportsbox\u202fCEO, played on the LPGA Tour and\u202fhas\u202fan MBA from Wharton.\u202f\u201cIt\u2019s not about what a good swing for Rory\u202fis,\u201d Lee says.\u202f\u201cWe want to find the patterns to tell a person what a good swing is for them.\u201d\u202f\u00a0<\/p>\n
Lee may not be telling people how to swing like Rory, but she is telling Bryson how to swing like Bryson. An ambassador for the company, DeChambeau used\u202fSportsbox\u202fduring his 2024 US\u202fOpen win at Pinehurst. He worked with Lee directly to decode how his swing angles were off at some microscopic level.\u201cWe\u2019ve\u202fbeen doing this with\u202fBryson\u202fbefore every major. To me, this is the future. Why, as an instructor, would you ever again just use your eyeballs?\u201d\u202fLee says.\u00a0<\/p>\n
Speaking of instructors and eyeballs, Sean Foley had both of his keenly focused when he signed on the dotted line to invest in\u202fSportsbox\u202fAI. Foley is one of the more well-known instructors in the game, but\u202fhe\u2019s\u202falso something of a\u202ffree thinker. Want to know why you are pulling the ball with your 9-iron only? Foley can tell you, but he might also add things like, \u201cHow is AI ever going to know that to take the next step, a pro like Micheal Kim is going to have to read a specific chapter of Nelson Mandela\u2019s Long Walk to Freedom?\u00a0<\/p>\n
In Foley\u2019s opinion the golf swing is usually poorly taught, so AI stands to help. \u201cWe never had the ability to measure what was\u202factually going\u202fon. Now we do. AI allows golf teachers to get a lot\u202fbetter a lot\u202fmore quickly. You\u2019re\u202fnot guessing.\u201d\u202f\u00a0<\/p>\n
I asked Foley if he thinks\u202fthere\u2019s\u202fany danger that AI will one day make his job irrelevant. Never,\u202fhe\u202fsaid. AI is a great tool, but \u201cAI\u202fcan\u2019t\u202fsee\u202fwhat\u2019s\u202fneeded beyond the mechanics.\u202fIt\u2019s\u202fgoing to be about how we use it, and\u202fit\u2019s\u202fnever going to make reps unnecessary.\u201d\u202f\u202f\u00a0<\/p>\n
your grandchildren\u2019s golf\u00a0<\/p>\n
What of the\u202fphilosophical and ethical considerations\u202fof golf\u202fmixed with\u202fAI? Don Harrison thinks about these things, partly because\u202fhe\u2019s\u202fa single-digit-handicap golfer in the Palo Alto area, but also because he happens to be Google\u2019s president of global partnerships and corporate development.\u202f\u00a0<\/p>\n
\u201cI don\u2019t lose sleep over AI replacing human intelligence,\u201d he said from the Googleplex in Mountain View, which is a 20-minute drive from the Stanford Golf Course. \u201cWhenever something has limited data, like golf, then AI absolutely has the ability to absorb that data into a single model.\u00a0 It will\u202foptimise\u202fthe swing for any kind of body or style. It will use its own predictive technology in a way\u202fthat\u2019s\u202fsignificantly better. It will be teaching and helping people in a progressive, bespoke manner.\u201d\u202f\u00a0<\/p>\n
The most exciting developments, Harrison says, will come when AI can look at the sum of your data and deliver a complete,\u202fongoing\u202fand continuously adjustable plan in conversation.\u202fToo\u202fmuch of what\u202fwe\u2019re\u202fseeing right now, he says, still boils down to having enough computing power to analyse the data. \u00a0<\/p>\n
\u201cNo one has yet built a model I\u2019ve seen using small language models,\u201d he says. A large language model (LLM) scans the entire internet universe when asked a question,\u202fwhereas\u202fa small language model (SLM) is a simulated conversation\u202foperating\u202fexclusively from the knowledge base of a highly specific sector or process, such as golf. \u201cMy guess is that companies with significant golf products are starting to experiment with small models. But you\u202fhaven\u2019t\u202fquite seen an example yet of a pure language model providing teaching or guidance\u202fthat\u2019s\u202fgoing to help you play better golf.\u201d\u202f\u00a0<\/p>\n
In other words, one day soon,\u202fyou should be able to open your SLM caddie\/swing instructor\/mental coach app, upload video, get swing analysis, review strategy, assess your mental and physiological state, all geared towards you alone, and it will all\u202funfold conversationally through a wearable device.\u202fStill, AI is\u202fultimately going\u202fto be just another tool golfers have at their disposal. If you shoot in the 80s, never practise, have erratic\u202ffocus\u202fand down a couple of beers before the\u202fturn,\u202fAI is not going to transform you into a 2-handicapper. Although if you\u202fare\u202fthis person,\u202fI\u2019m\u202fpretty sure\u202fI\u2019d\u202fenjoy playing golf with you.<\/p>\n
Part of golf\u2019s allure, of course, is that\u202fit\u2019s\u202fimpossible to master.\u202fPerhaps AI\u202fwill sand away some of our inconsistencies, even if\u202fit\u2019s\u202fthose inconsistencies that make us human.\u202fRegardless,\u202fAI is coming, hard, whether the sport is ready or not. I reached out to the rules committees of both the R&A and USGA. I was curious about the kinds of conversations they are having around AI usage in competition and training. How might it be restricted with juniors? Could AI have useful applications for rulings in tournaments, such as where to take drops? Both organisations declined\u202fcomment.\u202f\u00a0<\/p>\n
When I left the Bay Area, I passed the same AI Country billboard on my way to the airport. Heading south, the other side of the billboard said, simply, \u201cMake something people want love.\u201d Naturally, it made me think about what we love about golf.\u202f\u202f\u00a0<\/p>\n
In that context,\u202fperhaps it\u2019s\u202fhelpful to think of other\u202fbig changes\u202fthe game has gone through, with equipment advances and video teaching analysis\u202farguably\u202ftwo\u202fof the more\u202fconsequential\u202fin the past few decades. Most of us hit the ball further than we used to. There certainly aren\u2019t many Miller Barber swings left on tour \u2013 or Miller Barber bodies, for that matter.<\/p>\n
Does that mean golf, in sum and for each of us, is better than it was 30 years ago? Is golf something we love or a maths problem to be solved? Or is it a combination of two dissimilar things that can live in harmony? I want to shoot lower scores, but I love my annual golf trip with my\u202ffriends. I want to hit longer drives, but I love parsing different ways\u202fof playing 60-yard bump-and-run shots. I want to play better tournament golf, but I loved playing with my dad when I was a kid and neither of us were that good. I use the latest drivers and play with top-end golf balls. I have taken lessons in which AI tools\u202fidentified\u202fswing flaws that were corrected and made me better. I enjoy watching Trackman Rory duke it out with AI Bryson. But better equipment, better teaching, better swing\u202fanalysis\u202fand better pros have not made me love golf more than I did when I was 18 years old.\u202f\u00a0<\/p>\n
Should I be lucky enough to have grandchildren one day, they will\u202fprobably be\u202fplaying golf with AI tools we\u202fcan\u2019t\u202feven dream of, or, more likely, tools that AI itself has generated.\u202fIn\u202fevery sector in which AI is\u202fimpacting\u202fhow we play the game \u2013 in strategy, in the mental game, in swing analysis \u2013 experts felt AI would slot in as a complementary technology, not one designed to replace humans. Though how can any of us know for\u202fcertain?\u202f\u00a0<\/p>\n
In\u202fthe end, your most important\u202f relationship to the game\u202fwon\u2019t\u202fbe about\u202fwhether you use AI or\u202fdon\u2019t\u202fuse AI.\u202fIt\u2019ll\u202fbe about remembering where the soul of golf\u202fresides, no matter what tools\u202fyou\u2019re\u202fusing.\u00a0<\/p>\n
Here\u2019s\u202fa hint:\u202fit\u2019s\u202fnot in the data.\u202f<\/p>\n
Illustrations by Sam Chivers<\/p>\n","protected":false},"excerpt":{"rendered":"A golf trip\u00a0in Silicon Valley\u00a0reveals some answers\u00a0 good and scary\u00a0about the future. Driving into San Francisco from the…\n","protected":false},"author":2,"featured_media":41749,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[4893,16578,44],"class_list":["post-41748","post","type-post","status-publish","format-standard","has-post-thumbnail","category-news","tag-ai","tag-august-2026","tag-golf"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/posts\/41748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/comments?post=41748"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/posts\/41748\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/media\/41749"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/media?parent=41748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/categories?post=41748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/golf\/wp-json\/wp\/v2\/tags?post=41748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}