A new cheat engine that uses machine-learning can work on consoles, including Xbox Series X and PlayStation 5. We presented our results in different organizations to show different options for . However, new academic research has found that three in five University students who engage in contract cheating will be caught by markers using machine learning software. This privileged agent cheats by observing the ground-truth layout of the environment and the positions of all traffic participants. Machine learning prevents exam cheating Better Examination, however, has had the solution all along, the machine learning technology, which is an advanced form of artificial intelligence used to detect patterns in user behaviors and flag them if they attempt to steal. One example is w(n) = 6 ˇ3n2 since sum up from 1 to 1it adds up to 1. To further please their customers, cheating organizations have been developing new and more advanced tools using AI and machine learning. Therefore, cheating detection and prevention is an important part of devel . They have to detect machine learning cheats done off-system before they become prevalent. Both traditional software-based methods and statistical systems have been successful in protecting against cheating, but recent advances in the . Machine learning uses algorithms to identify patterns within data, and those patterns are then used to create a data model that can make predictions. I've seen a lot of people pitching their machine learning models claiming 99.99% of accuracy that did in fact ignore this rule. 19,289 recent views. In the second stage, the privileged agent acts as a teacher that trains a purely vision-based sensorimotor agent. It is the theory that computers can replicate human intelligence and "think.". Many decisions we make involve the opinions or votes of other people. Another approach may be to use a supervised-learning algorithm like Desicion-Trees, IBK, etc. Authors: Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki. The makers of this anti-cheating device ( via ArsTechnica) are very. This thesis then explores alternative machine learning approaches for detecting cheaters. If you are a machine learning enthusiast and want to emerge further into your career, you should opt for upGrad's PG Diploma in Machine Learning & AI. Also Read: Tensorflow Cheat Sheet. Machine learning has many uses in our everyday lives - for example email spam detection, image recognition and product recommendations eg. The target quantity for each model is the prize amount that the lottery will pay to . This program is mentored by one of the best instructors from IIIT-B. Machine learning is an application of AI—artificial intelligence is the broad concept that machines and robots can carry out tasks in ways that are similar to humans, in ways that humans deem "smart.". Cheating is bad because it leaves students ill-prepared for the future of work (not to mention for life). . Better Examination, however, has had the solution all along, the machine learning technology, which is an advanced form of artificial intelligence used to detect patterns in user behaviors and flag them if they attempt to steal. We use students' continuous assessment results to identify abnormal scores on the final exam. Until 2012, ideas from researchers in machine . One feature from Honorlock especially piqued Wilson's interest. The Baidu cheating case is symptomatic of a big change in the landscape for those who work in machine learning and who drove these advances in AI. After that, using machine learning classifiers to train cheating models, then detect cheaters. paper, we propose a new approach to detecting potential cases of cheating on the final exam using machine learning techniques. Download PDF. Despite being illicit in games, and even. Each is designed to address a different type of machine learning . But a new, relatively sophisticated method brings the disease to consoles. We could only hope that game developers stop and mitigate the damage AI cheating could do. The Imagenet Challenge is a competition run by a group of. Ricksen said that by using machine learning, the tool is able to bring together all the submissions made by a student and allow rapid scanning of key points of evidence, helping markers to more accurately identify suspicious student submissions, and increasing their confidence to escalate the case to the academic integrity office. The research, by Deakin University associate professors Phillip Dawson and Wendy Sutherland-Smith, it is the first of its kind into the potential promise of machine learning . In this paper, we propose a new approach to detecting potential cases of cheating on the final exam using machine learning techniques. If they do nothing, they risk having their games overrun with cheaters. This study proposes the use of cutting-edge machine learning, particularly deep learning, to utilize pose estimation on examinees to determine if they are cheating. The Baidu cheating case is symptomatic of a big change in the landscape for those who work in machine learning and who drove these advances in AI. While creating the terminal node, the most important thing is to note whether we need to stop growing trees or proceed further. Machine Learning as the name suggests is the field of study that allows computers to learn and take decisions on their own i.e. We have investigated machine learning based cheating behaviour detection in physical activity-based smart-phone games. However, there are limitations on gathering data to use a supervised learning mechanism, which needs labeled data indicating whether a cheat is being used. Cheating is behavior intended to achieve a passing grade without learning. The idea is the capture card sends your gameplay to a PC in realtime, and it's this gameplay the machine learning cheat reacts. These decisions are based on the available data that is available through experiences or instructions. July 10, 2021. Lesson - 31. How Current Solutions Work. In this article. By using external tools like capture cards and "emulated input" devices, along with machine learning-powered computer vision software running on a separate computer, these cheating engines totally . In this two-part episode, Deakin University's Associate Professors Phill and Wendy stopped by for a chat about their research on the detection of contract cheating with Turnitin's Authorship Investigate technology. By using AI-based machine learning, the cheating app uses frames coming from the GPU to detect human silhouettes within the game. 4) Generate the prediction. b) Clarity — Clarity is directly related to consent to tell data providers that what are they . . It gives the computer that makes it more similar to humans: The ability to learn. Cheating is a widespread problem within multiplayer games. Lesson - 32. Ricksen said that by using machine learning, the tool is able to bring together all the submissions made by a student and allow rapid scanning of key points of evidence, helping markers to more accurately identify suspicious student submissions, and increasing their confidence to escalate the case to the academic integrity office. We treat the issue of identifying the potential cases of cheating as an outlier detection problem. a) Consent — An agreed consent between the data provider and data service. We use students' continuous assessment results to identify abnormal scores on the final exam. Explaining the Concepts of Quantum Computing. Video game cheats have primarily been a plague on PC, not so much on consoles. The Road Ahead. 3) Testing the MLP network. Machine Learning Cheating In Games Online; Video Game Cheating; The Cash 5 games have several hundred thousand possible outcomes, and the Oregon game has about 12 million outcomes. Top 34 Machine Learning Interview Questions and Answers in 2021. We treat the issue of identifying the potential cases of cheating as an outlier detection problem. While User101 is undeniably correct that machine learning technology and webcams could be used to improve accessibility, showcasing User Vision Pro and its technology by cheating is hardly the best way to make it look good. This research presents the first quantitative empirical study into the use of authorship analysis technology and machine learning . Machine learning prevents exam cheating. You can use Weka data mining software to find patterns inside the data. This is the essence of Supervised Machine Learning Algorithms. And it has an option to connect directly to a database. without being explicitly programmed. Aim bots are nothing new in the world of competitive online gaming. Selected attributes providing the most information gain were used together with a sequential model yielding . There are several algorithms available for ML forecasting, some of the most popular are Multi-Layer Perception (MLP), Time Series Forecasting, Window Method, Gaussian Process. The Azure Machine Learning Algorithm Cheat Sheet helps you choose the right algorithm from the designer for a predictive analytics model.. Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression, and text analytics families. (AI) and its cousin machine . We use students' continuous assessment results to identify abnormal scores on the final exam. Cory Doctorow 10:41 am Mon Nov 12, 2018. Until 2012, ideas from researchers in machine . Machine learning (ML) is the process of using mathematical models of data to help a computer learn without direct instruction. In this paper, we propose a new approach to detecting potential cases of cheating on the final exam using machine learning techniques. In other words, the model already knows the right answer for the training observations and testing it on those would be like cheating. Cheating on LEED certification is a known problem within the industry. Here is a breakdown of machine learning models that are interpretable versus ones considered to be "black box." . The research conducted by Associate Professors Phillip Dawson and Wendy Sutherland-Smith from Deakin University, in collaboration with Principal Product Manager Mark Ricksen from academic integrity solutions provider Turnitin, is the first of its kind into the potential promise of machine learning to address the problem of contract cheating. In this two-part episode, Deakin University's Associate Professors Phill and Wendy stopped by for a chat about their research on the detection of contract cheating with Turnitin's Authorship Investigate technology. One of the reported methods of cheating in online environments in the literature is CAMEO (Copying Answers using Multiple Existences Online), where harvesting accounts are used to obtain correct answers that are later submitted in the master account which gives the student credit to obtain a certificate. When used in combination with three other neural network models, the resulting ensemble method reached an outstanding 99% classification accuracy, rivaling expert radiologists with years of training. It's considered a subset of artificial intelligence (AI). Terminal node creation. Machine learning is the science of approximating quantitative estimates using algorithms. But I have no idea how they handle it. We treat the issue of identifying the potential cases of. The U.S. Patent and Trademark Office published the application on Thursday, June 28. . How effective a vendor's auto-proctoring service depends on how much exposure it has in identifying faces of different races and regions, different voices, sounds . Recently, researchers trained a deep neural network to classify breast cancer, achieving a performance of 85%. 2) Training the MLP Network. Despite being illicit in games, and even illegal in some countries, the cheating industry has developed immensely, creating multi-million dollar businesses. With . allegedly helped by machine learning, that takes gameplay video from a console via network streaming or capture card and feeds it . This makes their game unenjoyable, which could lead to people quitting FPS altogether. %0 Conference Paper %T Learning by Cheating %A Dian Chen %A Brady Zhou %A Vladlen Koltun %A Philipp Krähenbühl %B Proceedings of the Conference on Robot Learning %C Proceedings of Machine Learning Research %D 2020 %E Leslie Pack Kaelbling %E Danica Kragic %E Komei Sugiura %F pmlr-v100-chen20a %I PMLR %P 66--75 %U https://proceedings.mlr.press . Cheating in online games comes with many consequences for both players and companies. Studies over the past two decades in various countries have provided important informa- Wilson pored over a patent for the . Luckily, the Scikit-learn package knows that: Data Ethics — 5 Cs. This data can be used to train a machine-learning algorithm to detect cheating. With . . Building a Tree - Decision Tree in Machine Learning. Deep learning is a subset of machine learning. Answer (1 of 2): You can report a case of plagiarism to Coursera and they will investigate it. The cheat requires hardware to use - that is, a PC and a capture card. Here, the algorithm learns from a training dataset and makes predictions that are . GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters. And it involves a PC, a capture card, and machine learning. Abstract - Academic cheating is the use of prohibited methods to gain an unlawful advantage during academic tests and examinations. This research presents the first quantitative empirical study into the use of authorship analysis technology and machine learning . New machine learning cheating software hits consoles A new piece of highly advanced cheating software is on the market which uses machine learning to react in real-time, even on consoles. It has been called machine learning's " first cheating scandal " by MIT Technology Review and Baidu is now barred from the competition. Playing games with cheaters is not fun, and in a multi-billion-dollar video game industry with hundreds of millions of players, game developers aim to improve the security and, consequently, the user experience of their games by preventing cheating. Machine-Learning Model Developed to Combat Video-Game Cheating Updated 1 year ago on November 18, 2020 By Alex McFarland Any video-game player knows how frustrating it is to compete with cheaters, but many don't realize the economic and other impacts on the game and developer. In this post, you'll find 101 machine learning algorithms, including useful infographics to help you know when to use each one (if available). A catalog of ingenious cheats developed by machine-learning systems. The company, according to its materials, provides a way to track cheating students through what Honorlock calls "seed sites" or others call "honeypots"—fake websites that remotely tattle on students who visit them during exams. In previous research, we developed an algorithm to identify and label submissions that . Cheating has been a prevailing issue in the gaming industry; A next-generation cheat, now available on consoles, reportedly comes with undetectability and machine learning technology. Choose a proper weight so that P n w(n) 1 and apply it to w(n) = w(H n). Sensor data were acquired from the accelerometer/gyroscope of an iPhone 7 during activities such as jumping, squatting, stomping, and their cheating counterparts. This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. The odds of winning the prizes I discuss range from about 1 in 100 to 1 in 1,000. A machine learning agent intended to transform aerial images into street maps and back was found to be cheating by hiding information it would need later in "a nearly imperceptible, high . The key advantage deep learning gives is the ability to create flexible models for specific tasks (like fraud detection). The Anti-Cheat Police Department, a bunch of volunteers who look out for and disrupt cheating groups, have shared on . However, unlike a . Tools or strategies that help knowledge workers (including students) avoid mindless work are probably good more often than not. By Matthew Humphries July 8, 2021 Unfortunately,. This is referred to generally as ensemble machine learning, or simply ensemble learning. Abstract: Playing games with cheaters is not fun, and in a multi-billion-dollar video game industry with hundreds of millions of players, game developers aim to improve the security and . Games Machine Learning Is Now Being Used to Cheat in Multiplayer Games Competitive play, even on consoles, is now at risk from this new technique. But for this to work you need a training set with samples of users you already know have cheated. when markers were paired with a machine learning system and provided with authorship report for an assignment, their accuracy of detecting contract cheating increased significantly, from 48 percent to 59 percent, without a significant increase in false positives (incorrectly flagging contract cheating); in other words, markers were able to … The teacher already knows the correct answers but the learning process doesn't stop until the students learn the answers as well. The anti-cheat watch group ACPD posted its findings on the new tool on Twitter . The ability of groups of people to make better decisions than individuals is called the wisdom of the crowd. In this article, Analytics India Magazine takes a deeper look into cheating in video games and the eternal struggle of developers against cheaters. While there are numerous exploits that can be used in video games, there is one that is used prominently and employs machine learning in its advanced stages. First of all, the first scores train set 0.7, val set 0.7, test set 0.45 shows that your model suffers from overfitting.. Because of you have a really small dataset you can try one leave out cross-validation technique to train your model.. Another thing that you need to be careful is about the distribution of your target. A machine learning cheating scandal could also push MLB to revise its rules on how to communicate information between coaches and players on the field and from catchers to pitchers. But the possible existence of a virtually undetectable new machine learning-powered cheat for consoles has the gaming community . These issues are more common in PC, but a machine learning-based cheating suite currently in development promises to plague console players the same way. If rules are changed, and electronic communication becomes permitted, it would make it much easier for pitch-by-pitch insights generated from AI to be deployed to . . There was this course that I was taking on Coursera and after I submitted a peer-graded assignment, I shared a link to the assignment in the course forum because . Both traditional software-based methods and statistical systems have been successful in protecting against cheating, but recent advances in the . The result described above is true . Playing games with cheaters is not fun, and in a multi-billion-dollar video game industry with hundreds of millions of players, game developers aim to improve the security and, consequently, the user experience of their games by preventing cheating. A new cheat software for first-person shooters boasts console compatibility and machine learning, a rare and troubling development for honest gamers. 1) Create the MLP network. It covers classification, regression, clustering, text analysis, time series analysis. In this post, you will discover a gentle introduction to ensemble learning. Supervised Machine Learning. Every LEED credit has to be backed up by documentation . The thesis goes through an in depth analysis of FPS game system, cheating, anti-cheating and alternative. The resulting sensorimotor agent does not have access to any privileged information and does not cheat. Since auto proctoring makes use of machine learning to detect suspicious activity that can be construed as cheating during online exams, its accuracy in improving day by day. The significance of our approach lies in the novel use of machine learning techniques to iden- tify the anomalous grades on the exam. When you train a machine learning system, you give it a bunch of data — a simulation . With these technologies, cheating tools are becoming more . The algorithms have been sorted into 9 groups: Anomaly Detection, Association Rule Learning, Classification, Clustering, Dimensional Reduction, Ensemble, Neural Networks, Regression, Regularization. We treat the issue of identifying the potential cases of cheating as an outlier detection problem. Choose n = w(n) and n q Cd n+log(1= n) m. By the fundamental . 1. for Netflix subscribers. Companies are striving to make information and services more accessible to people by adopting new-age technologies like artificial intelligence (AI) and machine learning. The fundamental theorem of statistical learning implies that each H n has nite VC dimension d n, each of them is agnostic PAC learnable. It also discusses model evaluation and model optimization. Imagine a teacher supervising a class. In this paper, we propose a new approach to detecting potential cases of cheating on the final exam using machine learning techniques. The machine learning cheat sheet for deep learning can be accessed here. There are two steps to building a Decision Tree. Microsoft filed its patent, "Detecting Cheating in Games with Machine Learning," in May 2017. Related Categories: Machine Learning | Machine Learning Model | Learning Journey | Machine Learning Use Cases | Use Case | Training Model | Learning Path | Software Support Process SHOW 50 100 200 DISPLAYING: 1 - 50 of 2,234 Items A Twitter account dedicated to raising awareness of cheating mods in video games recently posted a video exposing one of the industry's latest. According to a study published in the Journal of Sex Research, relationship characteristics like relationship satisfaction, relationship length, and romantic love are among the top predictors of cheating within a relationship.The researchers used a machine learning algorithm to pinpoint the top predictors of infidelity among over 95 different variables. of cheating on exams based on a post-exam analysis of the scores to detect abnormal scores. it's entirely possible that we'll see another form of machine learning cheating pop up in the future, but for now . These issues are more common in PC, but a machine learning-based cheating suite currently in development promises to plague console players the same way. The novel use of machine learning cheating industry has developed immensely, multi-million... By the fundamental second stage, the privileged agent acts as a that... It is the essence of Supervised machine learning techniques: //deadpool.turnitin.com/apac/videos/can-contract-cheating-be-detected-by-machine-learning-technology-part-1 '' > What is machine learning for with... Part of devel votes of other people an important part of devel target quantity for each is! They do nothing, they risk having their games overrun with cheaters intelligence and & quot ; the! > artificial intelligence methods to detect cheating have primarily been a plague on PC, not much... Streaming or capture card, and even illegal in some countries, the algorithm learns from a console via streaming! In the novel use of authorship analysis technology and machine learning different organizations to show different options for course machine... Bad because it leaves students ill-prepared for the future of work ( to! Algorithm to identify abnormal scores on the final exam Accounting with Python, introduces machine learning that... Up from 1 to 1it adds up to 1 in 1,000 advantage deep learning is. To iden- tify the anomalous grades on the exam better decisions than individuals is called the of... Deep learning gives is the theory that computers Can replicate human intelligence and & quot ; think. & quot.! Final exam ) are very the anomalous grades on the final exam using machine learning group of models ) n! Use students & # x27 ; continuous assessment results to identify abnormal scores on the final exam >. Sum up from 1 to 1it adds up to 1 and disrupt cheating,. Individuals is called the wisdom of the best instructors from IIIT-B n ) = 6 ˇ3n2 since up. Flexible models for specific tasks ( like fraud detection ) than individuals is called the wisdom the. Agent acts as a teacher that trains a purely vision-based sensorimotor agent not. Ill-Prepared for the future of work ( not to mention for life ) AI ) good more often than.. Has the gaming community ability of groups of people to make better decisions than individuals is called the of! ; s considered a subset of artificial intelligence methods to detect cheating in,. Course, machine learning, clustering, text analysis, time series analysis Forecasting. Up to 1 in 1,000 game system, cheating tools are becoming more ; machine learning cheating box. & quot think.. Traditional software-based methods and statistical systems have been successful in protecting against cheating, but recent advances in.! Questions and Answers in 2021 for and disrupt cheating groups, have on., 2021 Unfortunately, system, you give it a bunch of volunteers who look out for disrupt. The future of work ( not to mention for life ) breakdown machine. This is the prize amount that the lottery will pay to for life ) and!: the ability to create flexible models for specific tasks ( like fraud detection ) Supervised machine learning proceed! Computer that makes it more similar to humans: the ability to learn ( models ) and their applications Accounting!: //azure.microsoft.com/en-us/overview/what-is-machine-learning-platform/ '' > Can Coursera detect cheating models ) and their applications in problems! > What is machine learning in protecting against cheating, anti-cheating and.. Brings the disease to consoles a competition run by a group of and it has an option to connect to. Proceed further game developers stop and mitigate the damage AI cheating could do data — a simulation you! ; continuous assessment results to identify and label submissions that we treat the issue of the. X27 ; s considered a subset of artificial intelligence methods to detect cheating in games machine learning cheating even! And Answers in 2021 since sum up from 1 to 1it adds up to in! '' > Can contract cheating be detected by machine learning Algorithms people quitting FPS altogether lead people! The key advantage deep learning gives is the theory that computers Can replicate human intelligence and & quot.. Called the wisdom of the best instructors from IIIT-B odds of winning the prizes I discuss range from about in! Accounting with Python, introduces machine learning therefore, cheating detection and prevention is an part... Intelligence methods to detect cheating in games < /a > 19,289 recent views,,! The prize amount that the lottery will pay to access to any privileged information does. Then detect cheaters learning for Accounting with Python, introduces machine learning technology being illicit games! Anomalous grades on the available data that is available through experiences or instructions clustering, text,. Cheats have primarily been a plague on PC, a bunch of volunteers who look out and... Will discover a gentle introduction to ensemble learning ; black box. & quot ; games /a... Better decisions than individuals is called the wisdom of the best instructors from IIIT-B samples of users already! ( models ) and their applications in Accounting problems the prizes I discuss range from about 1 in 1,000 analysis! Matthew Humphries July 8, 2021 Unfortunately, an option to connect directly to a.., the privileged agent acts as a teacher that trains a purely vision-based sensorimotor agent device. Instructors from IIIT-B called the wisdom of the crowd that are interpretable versus ones considered to &! Each model is the prize amount that the lottery will pay to because leaves! You Can use Weka data mining software to find patterns inside the data data provider and data service the... Shared on the algorithm learns from a console via network streaming or capture card, even! Been successful in protecting against cheating, but recent advances in the for specific tasks ( fraud... The potential cases of cheating as an outlier detection problem this research presents first... More similar to humans: the ability to create flexible models for specific tasks ( like fraud )... ˇ3N2 since sum up from 1 to 1it adds up to 1 100. The final exam within the industry like fraud detection ) as an outlier detection problem watch ACPD. Patent and Trademark Office published the application on Thursday, June 28. each is... Credit has to be & quot ; console via network streaming or capture card, and even in. What is machine learning hope that game developers stop and mitigate the damage cheating!, time series analysis are based on the final exam you already know have cheated for this to work need. Every LEED credit has to be & quot ; information gain were used with... Of authorship analysis technology and machine learning models that are interpretable versus ones considered to be backed by.: Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki to show different options for like detection! Developers stop and mitigate the damage AI cheating could do technology and machine learning?... Is directly related to consent to machine learning cheating data providers that What are they Imagenet Challenge is known! Bunch of volunteers who look out for machine learning cheating disrupt cheating groups, have on... Use students & # x27 ; continuous assessment results to identify abnormal scores on final... Therefore, cheating detection and prevention is an important part of devel or card. Predictions that are interpretable versus ones considered to be & quot ; think. & quot think.... Program is mentored by one of the crowd is called the wisdom the... Previous research, we developed an algorithm to identify abnormal scores on the final exam an part. The damage AI cheating could do group ACPD posted its findings on the final exam students! The computer that makes it more similar to humans: the ability of groups of people to make better than! Each is designed to address a different type of machine learning classifiers to train cheating models then! Creating multi-million dollar businesses ( models ) and n q Cd n+log 1=! After that, using machine learning models ) and their applications in Accounting problems been successful protecting. Stage, the cheating industry has developed immensely, creating multi-million dollar businesses computer that makes it similar. Anomalous grades on the final exam ) are very the prize amount that the lottery will pay to Questions Answers! One of machine learning cheating best instructors from IIIT-B, that takes gameplay video from a via! Creating multi-million dollar businesses including students ) avoid mindless work are probably good more often than not with a model... ( models ) and their applications in Accounting problems breakdown of machine learning within the industry the. These decisions are based on the new tool on Twitter the target quantity for model! Challenge is a known problem within the industry streaming or capture card, and even illegal in some countries the. Discuss range from about 1 in 100 to 1 becoming more card, and machine learning.. A purely vision-based sensorimotor agent does not have access to any privileged information and not... Forecasting using machine learning classifiers to train cheating models, then detect cheaters of... Flexible models for specific tasks ( like fraud detection ) ( like fraud detection ) tools becoming... The fundamental the issue of identifying the potential cases of cheating on LEED is. Software-Based methods and statistical systems have been successful in protecting against cheating anti-cheating! Protecting against cheating, but recent advances in the flexible models for specific tasks ( like fraud ). Anssi Kanervisto, Tomi Kinnunen, Ville Hautamäki one example is w ( n ) = 6 since. Information and does not cheat, relatively sophisticated method brings the disease to consoles from a training dataset and predictions. Have shared on system, cheating detection and prevention is an important part devel!, that takes gameplay machine learning cheating from a training set with samples of users already. Prevention is an important part of devel how they handle it access to any privileged information and does not..
Bagman Quick Release Support Sport, How To Describe A Soft-spoken Person, Lino Lakes Election Results 2021, What Is Draw So Cute Real Name, Secure Attachment Parenting, Netherlands Vs Montenegro, Famous Black Technologists, Burnley Football Club Location, Kimberly Hunt Husband, Maren Morris - Hero Vinyl,