Embrace empowers engineers to manage the complexity of mobile to build better, bolder experiences

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Learn about the key performance metrics that mobile teams should track in their mobile apps so they can deliver better user experiences. In order to build the best experiences, engineers need the best data available. Mobile makes this challenge more complex, with variables that include device types, different operating systems, and connectivities, to name just a few. With a growing number of tools that all offer varying levels of visibility into your mobile app's health, performance, and stability, it can be difficult to know exactly which metrics you should be tracking. In this post, we’ll outline the most important performance metrics you need to track and how they help you get to the root cause of issues more quickly so you can build better mobile experiences. 1. Startup time Mobile users typically check their apps on the go and are accustomed to instantaneous results. Therefore, they won’t sit around and wait for the app to load. For example, if the Uber app takes too long to load, the user will probably switch to the Lyft app instead. In addition, users who had a poor experience in the Uber app and a decent experience in the Lyft app are much more likely to become a loyal Lyft user. Now, not only have you lost revenue from that user’s session, but your cost per acquisition and churn increased, not to mention the LTV that particular customer could have brought the company. Therefore, is essential to its success. ensuring your app’s startup time meets user expectations However, if the mobile team only has access to the , they probably miss key changes and respond reactively rather than proactively. average startup time For example, let’s say a company is launching its app into a new market, and the overall feedback is negative. The average startup time shows that the app is a few milliseconds longer than it was before the launch, but it doesn’t indicate that it became dramatically slower during the launch. So there must be another problem, right? Unfortunately, because the percentage of users in the new market is only a fraction of the overall user base, it makes sense that even an abysmal startup time in the new market would only minimally impact the total user base’s startup time. Instead, the team needs to be able to segment the data to better understand how startup time impacts the business. For example, how are high-value users suffering from slow startups? Are users in a new market experiencing worse performance? Are certain devices experiencing slower startups? This data puts your company back in control of the situation and omits the guesswork in time-sensitive scenarios that impact your revenue. To learn more, check out our eBook on . how to improve mobile app startup time 2. Crash rate are a surefire way to anger customers and for a good reason! It’s essentially the equivalent of a customer walking into a brick-and-mortar store where the staff kicks them out the door halfway through their shopping. Crashes This is a major issue for the company’s brand for two reasons: It as customers feel their time is disrespected. damages the reputation of your brand It hurts your revenue as customers can’t complete their immediate transaction, and you lose the lifetime value of that customer if they decide to switch to a competitor. Here are just a few examples from various industries where a crash directly translates to lost revenue: If an e-commerce app crashes during checkout, the customer won’t be able to make their purchase and likely won’t be back. E-commerce Apps: : If a POS system crashes during a live event, none of those live customers will be able to make a purchase or enter the venue. POS Systems : If a smart device, such as a toothbrush, crashes during the setup process, it’s very likely the customer will return the product. Smart Device Apps However, while tracking the average crash rate is a good start, it’s . still not enough to understand how crashes impact your business For example, if the current crash rate is just 0.5%, you might not see the need to drill deeper. However, what if all of the crashes that occur happen at the checkout screen? That tiny percentage could be cheating the business out of significant revenue. So, in addition to looking at the major metric numbers, it’s also important to have data that shows patterns in the crash rate. Specifically, how are various high-value areas in your app performing? Which devices tend to experience the most crashes? How is the app performing for high-value users? Are there any regions that experience particularly poor crash rates? And if so, should the app be fixed or removed from those regions? By segmenting crash details, your team can better prioritize fixing issues. 3. ANR rate are typically described as freezes or glitches. Application Not Responding (ANR) errors Essentially, if the main thread is blocked, the applications cannot run effectively. Therefore, the user cannot proceed, which can have a major impact on your business. For example, a retailer we worked with had an issue with ANRs. This issue was causing startup times to increase by almost 60%, translating to an estimated revenue loss of $6.5 million per year. , the engineering team was able to quickly address the issue and reclaim that lost revenue. With the right data Beyond revenue, ANRs can also in the Google Play Store and make it less visible to new customers. negatively impact an app’s rankings To effectively track ANRs, you can look at the stack trace and see how users responded to the issue. From there, the mobile team can prioritize what to fix first based on how many people leave at various thresholds, where high-value users are most affected, and which device types and screens are most affected by ANRs. To learn more, check out . this post on investigating Android crashes like ANRs 4. Region metrics Tracking region metrics is also very important as users in different regions have different devices and different connectivities. This can have a major impact on the business for several reasons. First, regions differ in their importance to a business’s bottom line. For example, perhaps only a portion of your users are in Singapore, but they might make up a large portion of your total annual revenue. Therefore, checking region metrics on a granular level will spotlight opportunities to improve the app, particularly for high-value users. Tracking segmented region metrics is also essential when launching into a new region. For example, suppose you expand into Australia, yet that geographic area only makes up 5% of all users on launch. In that case, it won’t impact median/average metrics enough to allow the team to effectively track performance. It’s also important to take into account cultural differences, and with a tool that provides region-specific metrics, the team can test specific aspects of the app just for that region. For example, an e-commerce checkout screen that converts well in the United States may not convert as well in Dubai. In addition, granular region metrics make it easy to roll out new features slowly. For example, the team can roll out a new feature in a smaller region and see how it performs. If it performs well, roll it out to more and more regions with higher-value users. This data can guide your team in answering critical questions like: Do we need to build a new app for this region? How is this new launch performing compared to launches in other regions? Which regions are the most problematic? And should we stop serving them altogether? ​​How are various critical areas of the app performing in one region versus another? 5. Session duration Another key metric to keep an eye on is session duration, as it signals how long users are using your app. If the average session duration changes dramatically in a week, it’s a pretty good hint that there is an issue with the app. For example, if you have a gaming app and notice the average session duration dropped from 15 minutes to 5 minutes, there’s a good chance that users had a poor experience. With this clue, you can ask questions like: Did we ship a bad release? Are users less engaged with the app? Is there a corresponding change in another metric that can help explain the change in session duration? Tracking session duration also allows the team to investigate patterns among the affected individual sessions and discover the root cause of issues. By analyzing session duration in parallel with other metrics, mobile engineers can draw a clearer picture of which issues are most intrusive to users. For example, an e-commerce store might have an OOM issue on the main scrolling feed of products that correlates strongly with a shorter session duration, whereas slow network calls on another screen have little to no correlation with the session duration. Therefore, tracking session duration is a great way to prioritize which issues should be fixed first as it directly reveals reduced user engagement. 6. Churn/retention rate It costs a lot more to acquire a new customer than it does to keep a current customer happy, and a leading cause of churn in mobile app users is a poor user experience. Downloading a new app only takes a few seconds, so if an app’s experience interrupts the user in a way that takes more than a few seconds of their time, don’t expect them to stick around. Therefore, track not only the overall churn and retention rate but also the churn and retention rates of segments of the user base (by devices, connectivities, regions, etc.). This will illuminate various opportunities to improve and prioritize retention. For example, you may find that while the churn rate is very high in one particular region, that region has few high-value users. Therefore, you may decide to invest engineering resources somewhere else where they will translate to larger business outcomes. Tracking churn and retention is also a great way to understand how users respond to new releases and various experiments. If there is a correlation between high churn and a new feature update, that’s a strong indicator that the team needs to roll back that feature update. Detailed data will allow the team to track the churn of various segments (such as specific regions or devices) to which the update is rolled out. Without segmented data, it will be difficult to see the impact that various feature updates have on small testing groups. Therefore, only once the feature is rolled out to a large group of users (and presumably caused many monthly active users to leave) will it become apparent that the feature rollout was premature. 7. User termination rate While some user terminations are nothing more than a user decluttering their phone, many terminations occur because the app has frozen, and the user has no choice but to swipe up and terminate the session. Of course, a user who is forced to terminate their session will likely be disgruntled and choose a competitor’s app instead. To prevent this, monitoring the average user termination rate is an excellent indicator of potential issues that could lead to churn, including: Failed ad loads are causing freezes Slow or broken user flows Failing purchases Server outages causing login errors Excessive media loading that causes slowdowns In addition to providing an overview of the average user termination rates, mobile teams need to know the source of every poor user experience. Therefore, one of the key features we built into Embrace is the ability to see . which screens cause frustrated users to abandon your app Therefore, rather than wasting valuable time and losing sales while engineers guess where the terminations are occurring, the mobile team is immediately directed to the issue so that they can fix the problem as efficiently as possible. 8. Timing of key user actions There are likely a few user actions within your app that absolutely must work 100% of the time. For example, if an office offers keyless entry, that feature must work every time. Otherwise, people may not be able to enter the office without calling additional support. Therefore, select a few key user actions and add them to the list of performance metrics the mobile team is tracking. In many cases, customer reviews don’t say where they experienced an issue in the app, so tracking specific user actions is a great way to catch issues that otherwise aren’t immediately apparent. This also helps you answer questions like: How many users experience issues in these critical areas of the app? Is there a direct correlation between issues in specific areas of the app and churn? How long do users try before giving up and abandoning the app? For example, one of our customers noticed that about 1% of all purchase attempts resulted in purchase failures. However, both of the associated network calls were resolving successfully, so there were no obvious errors to inspect. Therefore, they began tracking the exact moment a customer would make a purchase and found that the two network calls were happening out of order in 1% of purchase attempts, which resulted in a failed purchase. Though customers had been complaining about this issue, the mobile team couldn’t pinpoint the root cause without knowing the timing, outcome, and order of all events within the affected sessions. High-fidelity user experience data was vital in helping them reclaim 1% of their total sales. For a company doing $10 million in annual sales, that’s $100,000 that would otherwise be lost each year! 9. Memory usage It’s important to track your app’s memory consumption to identify any potential memory leaks. The efficiency of your app’s memory usage directly relates to how responsive your user experience is. This is why monitoring and optimizing memory usage plays a crucial role in delivering a seamless user experience. You can avoid issues with your app’s memory usage by: Optimizing your codebase and pinpointing areas where memory is unintentionally retained causes an increase in memory usage. Tracking your app’s memory consumption on a regular basis, noting any changes after new releases. Carefully monitoring memory-intensive operations like loading large images or processing large files and creating for abnormal spikes or sustained high memory usage. alerts A fine-tuned strategy regarding your app’s memory consumption creates responsive, stable, and effective apps that your users will love. 10. Connectivity Mobile apps operate in diverse environments with varying , including 3G, 4G, 5G, Wi-Fi, and sometimes limited or unstable connectivity. network conditions This is why it’s important to recognize the challenges posed by these varying conditions to create great user experiences. Indicators of poor network performance include: Latency and slow response times. Bandwidth usage. Inefficient API calls. Device-specific offline capabilities. For example, is an agricultural app that allows farmers and agronomists to document their findings while they’re in the field with their peers and colleagues. Farm Dog The app would crash often when network response times were exceptionally slow and when devices couldn’t determine whether they were connected. They noticed that Google Maps response times between 18-22 seconds when they should be only a few seconds. Without the proper tooling, they would need to use convoluted workarounds to solve issues using a proxy to simulate a bad network connection. However, with higher-fidelity data, they can see the exact conditions users have in the field, including: Network calls across device types, app versions, Wi-Fi, and cellular. Insight into 4xx and 5xx error trends across common domains to identify problematic pathways. The broken endpoints that prevent your users from starting up the app, loading key content, or completing crucial transactions. The duration of every network call from the client side reveals hidden points of latency. Armed with this information, the Farm Dog team simulated the issues their users faced, easily identified the problematic conditions, and fixed them. Set your mobile team up for success If you care about mobile experiences, then you need the data that enables your team to see all of the metrics mentioned above. Embrace helps you build better mobile experiences by giving you just that data, making your engineers more efficient and less bogged down by tedious work. Learn more about and download report to learn about key app frustrations according to users. Embrace The State of Mobile Experience Author: Colin Contreary Also published . here

10 Mobile App Performance Metrics You Need To Start Tracking

10টি মোবাইল অ্যাপ পারফরম্যান্স মেট্রিকস যা আপনাকে ট্র্যাকিং শুরু করতে হবে

10 Leistungskennzahlen für mobile Apps, die Sie benötigen, um mit dem Tracking zu beginnen

Diez métricas de rendimiento de aplicaciones móviles que necesita para comenzar a realizar un seguimiento

10 mesures de performances des applications mobiles dont vous avez besoin pour commencer le suivi

10 मोबाइल ऐप प्रदर्शन मेट्रिक्स जिनकी आपको ट्रैकिंग शुरू करने के लिए आवश्यकता है

追跡を開始する必要がある 10 のモバイル アプリのパフォーマンス指標

추적을 시작하는 데 필요한 10가지 모바일 앱 성능 지표

10 métricas de desempenho de aplicativos móveis que você precisa para começar a monitorar

10 показателей производительности мобильных приложений, которые нужно отслеживать

Takibe Başlamak İçin İhtiyacınız Olan 10 Mobil Uygulama Performans Metriği

10 số liệu hiệu suất ứng dụng di động bạn cần để bắt đầu theo dõi

您需要开始跟踪的 10 个移动应用性能指标

Mobile app debugging sees innovation and new, high-quality free tools for mobile engineers in 2023 Building a successful is a complex process. Each line of code plays a crucial role, and sometimes, a tiny misstep can lead to a bug. These issues, no matter how small, can affect the user experience. This is where bug reporting becomes necessary. mobile app However, not all bug-tracking tools are created equal. The right bug-tracking tool is the perfect companion for pre-launch, testing, and issue-resolution processes. This is why it’s so important to acquire the right tool for your mobile app. Mobile engineers need efficient bug tracking and high-quality, actionable data to create seamless user experiences. In this blog post, we’ll examine the top bug-tracking tools of 2023. Let’s dive in! What is the best way to report a mobile app bug? ​​There are many great options available, many of which are free or low-cost. While you could build this functionality in-house, it’s worth checking out what existing solutions there are and deciding based on your needs. Here are a few things to consider: Do you want mobile app bug reporting for beta testers or users in production? What workflow will work best for your team? What features are most helpful to you and your team? Is it intuitive enough for non-technical users to submit bug reports? Does the tool provide detailed crash reporting, stack traces, or relevant diagnostics? Check out this list of mobile app bug reporting solutions, and choose the one that works best for your needs. Top mobile app bug reporting solutions 1. Bug Shake by Embrace by Embrace is a free, intuitive bug reporting and crash reporting tool that allows users to catch all bugs in an app while also understanding the full technical details. Bug Shake Pros You can start using Bug Shake right after you input just a few lines of code. After this, your users and testers can start reporting bugs to the engineering team after a simple shake of their device — the SDK is lightweight and the process is low-friction. Easy to use and simple to integrate. Bug Shake by Embrace automatically captures crashes as well. Whether your mobile team needs a solution for a few internal engineers or large beta testing groups, they get complete bug and crash reporting coverage at no added expense. Free crash reporting is included: When you use Bug Shake, you can share bug and crash reports with other members of your team. This makes it easy to collaborate with your team members and delegate work accordingly. Collaborative: No manual reproduction is required because Embrace automatically captures the full trail of technical events for every session. This includes the category (a bug, crash, or user suggestion or question), the app version, the user ID, and the timing of the issue. You won’t have to rely solely on screenshots, limited recordings, or breadcrumbs to understand the root cause of an issue. Embrace is well-known in the market for this level of detail. Full session context to resolve issues: If you’re looking for even further context to solve an issue in your app, you can go beyond Bug Shake and of the full-featured Embrace solution to have the most powerful data to identify, prioritize, and resolve any issue. The Embrace data includes the full technical detail for every user session, including views, taps, network calls, device state, changes, connectivity switches, and more. start a free trial Embrace’s full product includes a deep analysis of user sessions, crash reporting, network monitoring, ANR reporting, and more. Cons If you’re looking for a tool that allows you to live chat with users or send direct updates on your product, then this tool isn’t the right match for your team. Limited ways to interact with users. Pricing Bug Shake by Embrace is 100% free to use in both pre-release testing and in production for user bug and crash reporting with session timelines. 2. Bugsnag Bugsnag’s mobile bug reporting feature is a tool that allows users to report bugs directly from within a mobile app. Pros Bugsnag allows the ability to track errors in real time for the fastest response times and a simple issue resolution process. Real-time error tracking. Bugsnag offers comprehensive reports that include stack traces, device information, and even user data. Detailed diagnostics. Bugsnag shows a stability score that measures the percentage of error-free user sessions. This is particularly useful to non-technical users to get a feel for the performance of the app. At-a-glance analysis of stability. Cons You can report bugs, but Bugsnag doesn’t give users the option to shake their phones to report an issue. This means the reporting process could be less intuitive to the user and take more time to complete. No shake functionality. Bugsnag has limited options when it comes to customization of user flows and filtering. There is no detailed session timeline page or session replay to see details in a user timeline. Limited custom functionality. The free tier goes up quickly by charging monthly events and seats for error monitoring and by spans for real user monitoring. The free product is limited and the price can add up. Pricing Bugsnag offers three different plans — Lite, Standard, and Enterprise. The pricing is based on a combination of user and event count. Both the Lite and Standard tiers can be customized based on the amount of seats you need at 5, 15, 30, and 50 seats. pricing 3. Buglife Buglife is a bug-reporting tool that has an emphasis on visual context. Every reported bug has an auto-captured screenshot of the phone at the moment the bug was reported. One of Buglife’s key features is the ability to annotate submitted media to streamline the issue resolution process. Pros Buglife collects screenshots and recordings of bugs and allows users to annotate this media for issue resolution. Annotated media. Buglife not only collects screenshots and video recordings of reported bugs, it also collects logs, events, and environment data including the device, connection, memory, and battery percentage. Collection of logs and other environmental data. . Buglife integrates with several different project management and communication tools. Integrations Cons There is no free plan. There are only two tiers of pricing and both are more expensive than many other tools available on the market. Few pricing plans. Buglife has logs and environment data for each bug reported, but it lacks other key crash analytics used to solve a bug like network calls, connectivity changes, views, taps, etc. Lacks key crash reporting features. Pricing There are two tiers of Buglife — Premium for $458 a month and Enterprise (custom pricing). pricing 4. Bugsee Bugsee is another bug-reporting tool that heavily emphasizes the visual aspect of its bug reporting. Bugsee collects the bug report itself, videos of user actions, network traffic, and console logs. Pros Bugsee doesn’t require much to set up. It’s an easy integration that only requires the installation of a lightweight SDK. Easy to set up. Bugsee takes video recordings of the user in any live app. They boast a continuously recorded high-resolution 10 frames-per-second video of the app usage. High-quality video recordings. The interface of Bugsee is easy to use and understand for both technical and non-technical users. Easy to use for technical and non-technical users. Cons Although one of Bugsee’s leading features is its video recordings, the video recordings are only 60 seconds max. Limited video recordings. Bugsee only retains three days of data at the Lite tier and one month of data at the Pro tier. If there are over 50 unique devices used then you need a custom pricing plan. Limited data retention. Pricing Bugsee has three tiers — a Lite tier, a Pro tier at $99, and a Custom tier with custom pricing. pricing 5. Gleap is another bug-reporting tool with a heavy emphasis on its visual offering. What makes Gleap unique is that it also supports live chat with users so that their questions can be answered in real-time. It also has an AI bot, Kai, that can automatically answer support questions on behalf of your team. Gleap Pros Many users report that they like Gleap’s UI and have an easy time using the app to report bugs and communicate. Intuitive interface. Gleap is unique because it has a live chat feature. The feature is designed to allow a mobile team to answer the questions of testers in real-time. Live chat. Gleap is big on user feedback via its feature request board. This channel is for users to submit feature requests and upvote the ones they like most. Feature request board. Cons There is only a finite number of events you can track across all pricing plans. Limited event tracking. Many find Gleap’s pricing plans to be inefficient. For example, the base plan only supports one team member. Inefficient pricing options. Unlike other tools in this round-up, Gleap doesn’t have a crash reporting feature, so you’ll need to rely on videos and screenshots to solve bugs using this tool and supplement with another tool for technical detail. A lack of technical detail. Pricing Gleap has three tiers. The Hobby tier is $23 a month, the Team tier is $119 a month, and the Enterprise tier has custom pricing. They offer a startup discount (50% off the first year that you use Gleap) across all three tiers. pricing 6. Instabug offers a mobile app bug-reporting feature that allows testers and users to report bugs in both development and production. Instabug Pros Many enjoy using Instabug bug reporting because you can report a bug and send feedback by shaking your device. You can also attach screenshots, screen recordings, and even voice notes for any issue. Easy to use. Instabug captures console logs and metadata for each bug submitted. Logging and metadata. You can send updates to users who reported an issue via in-app chats. This can be useful for getting more information from users when needed or quickly communicating that bugs have been resolved. In-app chats. Cons Many of the pricing plans are expensive and edge out small teams because of this. Instabug also lacks an ongoing free tier. Pricing constraints. Many of the bug reports lack the granularity and depth that users are looking for and it makes it difficult to solve bugs efficiently. Lack of granularity and depth. Pricing There are four tiers of Instabug. The Basic tier for $249 a month, the Pro tier at $499 a month, the Ultimate tier at $749 a month, and the Enterprise tier with custom pricing. 7. Shake is a bug and crash reporting tool for mobile apps. Shake aims to give teams the most information possible so that they won’t have to ask the user for supplemental information. Shake Pros The Shake integration can be added to your app within a matter of minutes. It’s also lightweight and won’t negatively impact your user’s in-app experience. Easy integration. Shake sends data metrics to each bug and crash report including console logs, history of taps, requests, and notifications. Auto-captured data. Shake automatically adds a screenshot and video to each bug report and allows users to submit supplemental media if necessary. Screenshots and videos. Cons Shake’s Free tier limits you to three seats and the Premium tier limits you to 4. This means there are limited cost-effective options for teams with more than just a few people. Limitations for teams. If you’re bug reporting at the Free tier, then there is a limit of the activity history you can view for an app. Limited activity history. Pricing Shake offers three tiers. The Free tier is targeted toward indie developers but limits the team on seats, integrations, and apps in the dashboard. pricing The Premium tier is $160 a month and limits the user to 4 seats and 4 apps in the dashboard. The Organization tier, for larger agencies and companies, is $340 a month. Fix bugs and enhance mobile experiences There is a diverse landscape of bug reporting tools, but finding the best bug reporting tool is dependent on your mobile team’s needs. Choosing the right tool makes your mobile team streamlined and efficient and your users delighted. While one size doesn’t fit all in the world of mobile bug reporting, a few things remain true for all teams — you need a tool that’s easy to use, cost-efficient, and effective. Make sure you keep these tenets in mind and thoroughly assess team and project needs before choosing a tool. Interested in learning more about Bug Shake? You can about the tool and today. learn more try it - Lauren Bennett, Embrace, Technical Content Writer Also published here.

Exploring the Top 7 Mobile App Bug Reporting Tools of 2023

2023 সালের সেরা 7টি মোবাইল অ্যাপ বাগ রিপোর্টিং টুল অন্বেষণ করা হচ্ছে

Entdecken Sie die 7 besten Bug-Reporting-Tools für mobile Apps im Jahr 2023

Explorando las 7 principales herramientas de informe de errores de aplicaciones móviles de 2023

Explorer les 7 meilleurs outils de rapport de bugs dans les applications mobiles de 2023

2023 के शीर्ष 7 मोबाइल ऐप बग रिपोर्टिंग टूल की खोज

2023 年のモバイル アプリのバグ報告ツール トップ 7 を調査する

2023년 상위 7개 모바일 앱 버그 보고 도구 살펴보기

Explorando as 7 principais ferramentas de relatório de bugs de aplicativos móveis de 2023

Изучение 7 лучших инструментов для сообщения об ошибках в мобильных приложениях 2023 года

2023'ün En İyi 7 Mobil Uygulama Hata Raporlama Aracını Keşfetmek

Khám phá 7 công cụ báo cáo lỗi ứng dụng di động hàng đầu năm 2023

探索 2023 年 7 大移动应用错误报告工具

LONDON, United Kingdom, October 9th, 2024/Chainwire/--Stablecoin Standard, the industry body for stablecoin issuers globally, today announced that their recently unveiled set of global standards for stablecoin issuers have been endorsed by some of the leading stablecoin issuers and ecosystem participants in the industry. Among those who have endorsed are Archblock, BiLira, Bitstamp, GMO-Z.com Trust Company (‘GMO Trust’), JST Digital, Fireblocks, Solana Foundation, StraitsX and Zodia Markets, signaling a new era of cooperation and standardization within the stablecoin industry. The standards, announced by Beth Haddock, Global Policy Lead at Stablecoin Standard, at the Annual Flagship Event in Singapore, were designed to promote operational resilience, transparency and consistent issuer commitments globally. Stablecoin Standard’s Policy Working Group created the high-level standards that are both general and actionable, while being sensitive to the innovation in the market. Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” The endorsement of the standards lays the groundwork for a stablecoin ecosystem that prioritizes transparency, security and consumer protection. With increased scrutiny from regulators and growing demand for digital assets, unified standards can provide clarity and assurance to both industry participants and the public. Stablecoin Standard’s new framework aims to accelerate the adoption of stablecoins by fostering greater confidence among consumers, regulators, and traditional financial institutions. Ramy Soliman, Co-Founder of Stablecoin Standard, commented on the endorsements: “The endorsement of our global standards by leading stablecoin issuers such as, BiLira and ecosystem participants, including industry leaders like Solana, Zodia Markets and JST Digital, is a vital step toward establishing a unified, trusted framework for the entire sector. As stablecoins continue to redefine the future of digital payments, these standards will provide the foundation for long-term growth, transparency, and security. This collective commitment—solidified during discussions at our annual meeting—not only underscores the industry’s dedication to fostering innovation but also demonstrates a concerted effort to align with evolving regulatory expectations and build the consumer trust essential for stablecoins to thrive globally.” Stablecoin Standard and its endorsing members plan to continue refining these standards for implementation with the goal of achieving industry-wide adherence by Q4 2025. Quotes from Endorsers: Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” About Stablecoin Standard Stablecoin Standard (SCS) is the industry body focused on setting operational, transparency, and product related standards for stablecoins. The SCS plans to achieve industry wide standards by sharing international best practices, business development use cases, forming industry led working groups defining what a high-quality liquid stablecoin should look like, and engaging with policymakers domestically & internationally. The SCS ecosystem consists of over 30 advisory board members, industry partners and issuers that offer digital currencies in global jurisdictions such as the US, EU, Singapore, Australia, and Turkey - among others. Users can follow the Stablecoin Standard on LinkedIn and X and to learn more, please visit: https://stablecoinstandard.com/ Contact Kevin McGrath stablecoinstandard@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here LONDON, United Kingdom, October 9th, 2024/Chainwire/--Stablecoin Standard, the industry body for stablecoin issuers globally, today announced that their recently unveiled set of global standards for stablecoin issuers have been endorsed by some of the leading stablecoin issuers and ecosystem participants in the industry. industry body industry body Among those who have endorsed are Archblock, BiLira, Bitstamp, GMO-Z.com Trust Company (‘GMO Trust’), JST Digital, Fireblocks, Solana Foundation, StraitsX and Zodia Markets, signaling a new era of cooperation and standardization within the stablecoin industry. The standards, announced by Beth Haddock, Global Policy Lead at Stablecoin Standard, at the Annual Flagship Event in Singapore, were designed to promote operational resilience, transparency and consistent issuer commitments globally. Stablecoin Standard’s Policy Working Group created the high-level standards that are both general and actionable, while being sensitive to the innovation in the market. The standards, The standards, Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” Beth Haddock, Global Policy Lead at Stablecoin Standard, commented on the endorsements: "Their endorsement not only validates the rigor of our proposed framework but also underscores the importance of creating a stable, transparent, and resilient environment for digital currencies. This milestone, following discussions at our annual meeting, sets a strong foundation for the continued evolution of the ecosystem.” The endorsement of the standards lays the groundwork for a stablecoin ecosystem that prioritizes transparency, security and consumer protection. With increased scrutiny from regulators and growing demand for digital assets, unified standards can provide clarity and assurance to both industry participants and the public. Stablecoin Standard’s new framework aims to accelerate the adoption of stablecoins by fostering greater confidence among consumers, regulators, and traditional financial institutions. Ramy Soliman, Co-Founder of Stablecoin Standard, commented on the endorsements: “The endorsement of our global standards by leading stablecoin issuers such as, BiLira and ecosystem participants, including industry leaders like Solana, Zodia Markets and JST Digital, is a vital step toward establishing a unified, trusted framework for the entire sector. As stablecoins continue to redefine the future of digital payments, these standards will provide the foundation for long-term growth, transparency, and security. This collective commitment—solidified during discussions at our annual meeting—not only underscores the industry’s dedication to fostering innovation but also demonstrates a concerted effort to align with evolving regulatory expectations and build the consumer trust essential for stablecoins to thrive globally.” Stablecoin Standard and its endorsing members plan to continue refining these standards for implementation with the goal of achieving industry-wide adherence by Q4 2025. Quotes from Endorsers: Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Sinan Koç, Co-founder and CEO of BiLira, commented on their endorsement, “As a stablecoin issuer, BiLira has always prioritized transparency, security, and adherence to high standards, which is why we are proud to endorse the Stablecoin Standard’s newly introduced set of global standards. TRYB is governed with a commitment to uphold these principles, which we believe are essential for fostering trust and stability in the rapidly evolving digital asset space. We support this initiative as a significant step towards a more resilient and unified stablecoin ecosystem.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Ran Goldi, SVP Payments and Network at Fireblocks, commented on their endorsement, "With more than a dozen stablecoins issued on Fireblocks, we strongly believe standards are the right path for our ecosystem with regard to interoperability and reaching the holy grail of instant liquidity any time, anywhere. SCS is taking a big, bold step, and we proudly endorse and stand with them on this journey.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” Kenny Chan, Head of StraitsX, commented on their endorsement, “As one of the leading regulated stablecoin issuers in Asia, StraitsX is committed to upholding the highest standards of transparency and operational resilience. We are proud to support the Stablecoin Standard’s newly introduced global standards, which will help build greater trust in the stablecoin ecosystem and ensure that digital currencies can be securely and seamlessly adopted by businesses and consumers worldwide. By working collaboratively with key industry participants, we believe these standards will provide a strong foundation for the future of stablecoins, promoting innovation while ensuring compliance with evolving regulatory frameworks.” About Stablecoin Standard Stablecoin Standard (SCS) is the industry body focused on setting operational, transparency, and product related standards for stablecoins. The SCS plans to achieve industry wide standards by sharing international best practices, business development use cases, forming industry led working groups defining what a high-quality liquid stablecoin should look like, and engaging with policymakers domestically & internationally. The SCS ecosystem consists of over 30 advisory board members, industry partners and issuers that offer digital currencies in global jurisdictions such as the US, EU, Singapore, Australia, and Turkey - among others. Users can follow the Stablecoin Standard on LinkedIn and X and to learn more, please visit: https://stablecoinstandard.com/ LinkedIn LinkedIn X X https://stablecoinstandard.com/ https://stablecoinstandard.com/ Contact Kevin McGrath stablecoinstandard@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Leading Stablecoin Issuers And Crypto Firms Embrace International Set Of Stablecoin Standards

Nayrir Emisores Stablecoin Ukat Firmas Cripto ukanakax Conjunto Internacional De Estándares De Stablecoin ukar katuqapxi

Els principals emissors de Stablecoin i les empreses de criptografia adopten un conjunt internacional d'estàndards Stablecoin

Führende Stablecoin-Emittenten und Krypto-Unternehmen übernehmen internationale Stablecoin-Standards

Los principales emisores de monedas estables y empresas de criptomonedas adoptan un conjunto internacional de estándares para monedas estables

Stablecoin-ի առաջատար թողարկողները և կրիպտո ընկերությունները ընդունում են Stablecoin ստանդարտների միջազգային փաթեթը

主要なステーブルコイン発行者と暗号通貨企業が国際的なステーブルコイン基準を採用

អ្នកចេញ Stablecoin ឈានមុខគេ និងក្រុមហ៊ុន Crypto ទទួលយកស្តង់ដារអន្តរជាតិនៃ Stablecoin

선도적인 스테이블코인 발행자와 암호화폐 회사, 국제 스테이블코인 표준 채택

Umalliq Stablecoin Emisorkuna Hinallataq Crypto Firmakuna Abrazan Internacional Conjunto De Stablecoin Estándares

ผู้ให้บริการ Stablecoin ชั้นนำและบริษัท Crypto ต่างยอมรับมาตรฐาน Stablecoin ระดับสากล

معروف Stablecoin جاری کرنے والے اور Crypto فرمیں Stablecoin کے معیارات کے بین الاقوامی سیٹ کو قبول کرتی ہیں

领先的稳定币发行者和加密货币公司采用国际稳定币标准

School is Dead. Embrace Modern Education Instead.

স্কুল মৃত। পরিবর্তে আধুনিক শিক্ষা গ্রহণ করুন।

Die Schule ist tot. Setzen Sie stattdessen auf moderne Bildung.

La escuela está muerta. En su lugar, adopte la educación moderna.

L'école est morte. Adoptez plutôt l’éducation moderne.

स्कूल ख़त्म हो चुका है। इसके बजाय आधुनिक शिक्षा अपनाएँ।

学校は死んだ。代わりに現代教育を受け入れよう。

학교는 죽었다. 대신 현대 교육을 수용하십시오.

A escola está morta. Em vez disso, abrace a educação moderna.

Школа мертва. Вместо этого используйте современное образование.

Okul Öldü. Bunun yerine Modern Eğitimi Benimseyin.

Trường học đã chết. Thay vào đó hãy đón nhận nền giáo dục hiện đại.

学校已死。拥抱现代教育。

DELAWARE, United States, June 6th, 2024/GamingWire/--Warped Games studio was caught unaware last week when an intern leaked promotional material from their in-development title “Warped Universe” on X/Twitter. With over 70,000 people following the account, the leak quickly gained traction, catching the attention of Web3 gaming influencers who quickly ran with the alpha. The post racked up 80,000 impressions over the subsequent days before the Warped Team decided they might as well keep the post live. The intern acknowledged his error. When contacted for more insight on the matter, Scott Brown, President and Lead Game Developer of Warped Universe, mentioned in his official statement that while “the leak was not ideal”, yet came with a silver lining. “For a team that has been building for the last 2 years, this was a real mood lifter, as the market reacted extremely positively to the video”. He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” The colourful warped nature of the world and art style puts players in an environment previously unexplored in the Sci-Fi genre, giving a unique gaming experience. ​​ Scott shared that Warped Universe will be a community-centric game, where every token holder can have an influence, but that it wouldn’t function exactly like a DAO, telling “Token holders will influence what's going to be happening in the game. Where’s it going? What’s being added? There are a lot of games that have tokens inside the game, where you're buying the tokens which are buying cosmetics or items in the game. They’re different things. Our token is influencing the game, more than it influences the day-to-day gameplay”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. It has been shown on the Warped Games’ social media profiles, that two of the four game modes mentioned in this Sci-Fi Web3 epic will be real-time action shooter and turn-based strategy, arguably targeting two of the biggest gaming markets right now. About Warped Games Warped Games is a gaming studio comprising passionate developers and designers with backgrounds at industry giants such as Pixar, Disney, LucasArts, EA, Rockstar, Sony, Netflix, and more. Team members have worked on Lego Universe, Star Citizen, Jumpgate, Dragons & Titans, and others, and have a proven track record in building MMOs, RPGs, and FPSs. This depth of experience is vital as Warped Games develops Warped Universe, a unique, “play your own way” Web3 gaming title on Unreal Engine 5 that redefines the sci-fi genre. Warped Games is working towards leading both players and studios into the next era of gaming. Contact PR manager Ramsey Shallal Warped Games ramsey@gelocubed.com This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. DELAWARE, United States, June 6th, 2024/GamingWire/--Warped Games studio was caught unaware last week when an intern leaked promotional material from their in-development title “Warped Universe” on X/Twitter. With over 70,000 people following the account, the leak quickly gained traction, catching the attention of Web3 gaming influencers who quickly ran with the alpha. The post racked up 80,000 impressions over the subsequent days before the Warped Team decided they might as well keep the post live. The intern acknowledged his error. When contacted for more insight on the matter, Scott Brown , President and Lead Game Developer of Warped Universe, mentioned in his official statement that while “the leak was not ideal”, yet came with a silver lining. “For a team that has been building for the last 2 years, this was a real mood lifter, as the market reacted extremely positively to the video”. Scott Brown Scott Brown He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He further shared details about the in-development Web3 title.“It’s a Sci-Fi title with multiple mission types that interconnect with one another, giving players total freedom in how they approach the game. It’s hard to classify a game that crosses so many boundaries. It’s a user-driven game. All of the players' actions cumulatively decide the fate of the Universe.” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” He continued, adding “One of the things about making a game, and especially a Sci-Fi game, is how do you stand out in someone's mind? How are you memorable? It's so easy to fall into the same trope of big grey spaceships in this black, starry background. You just start to look like every other space game that everyone's seen a thousand other times. It's so easy to just blend in with all the others, so we sat down and brainstormed over and over about what is going to make us special. What's going to make Warped stand out? What does it mean to be Warped?” The colourful warped nature of the world and art style puts players in an environment previously unexplored in the Sci-Fi genre, giving a unique gaming experience. ​​ Scott shared that Warped Universe will be a community-centric game, where every token holder can have an influence, but that it wouldn’t function exactly like a DAO, telling “Token holders will influence what's going to be happening in the game. Where’s it going? What’s being added? There are a lot of games that have tokens inside the game, where you're buying the tokens which are buying cosmetics or items in the game. They’re different things. Our token is influencing the game, more than it influences the day-to-day gameplay”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. He added, “I think this makes for a very cool and unique relationship between token holders and Warped Universe. We want the community to be involved in the direction of Warped Universe”. It has been shown on the Warped Games’ social media profiles , that two of the four game modes mentioned in this Sci-Fi Web3 epic will be real-time action shooter and turn-based strategy, arguably targeting two of the biggest gaming markets right now. Warped Games’ social media profiles Warped Games’ social media profiles About Warped Games Warped Games is a gaming studio comprising passionate developers and designers with backgrounds at industry giants such as Pixar, Disney, LucasArts, EA, Rockstar, Sony, Netflix, and more. Team members have worked on Lego Universe, Star Citizen, Jumpgate, Dragons & Titans, and others, and have a proven track record in building MMOs, RPGs, and FPSs. This depth of experience is vital as Warped Games develops Warped Universe, a unique, “play your own way” Web3 gaming title on Unreal Engine 5 that redefines the sci-fi genre. Warped Games is working towards leading both players and studios into the next era of gaming. Contact PR manager Ramsey Shallal Warped Games ramsey@gelocubed.com This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Gamingwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Warped Games Embraces Premature Teaser Release To Highlight "Warped Universe"

Failure is Required, So Embrace It: Understanding Fail-Safe and Fail-Fast Strategies In Software

ব্যর্থতা প্রয়োজন, তাই এটিকে আলিঙ্গন করুন: সফ্টওয়্যারে ব্যর্থ-নিরাপদ এবং ব্যর্থ-দ্রুত কৌশলগুলি বোঝা

Fehler sind unvermeidlich, also akzeptieren Sie sie: Verstehen von Fail-Safe- und Fail-Fast-Strategien in der Software

El fracaso es necesario, así que acéptelo: comprensión de las estrategias de software a prueba de fallos y rápido

L'échec est nécessaire, alors acceptez-le : comprendre les stratégies de sécurité et d'échec rapide dans les logiciels

विफलता आवश्यक है, इसलिए इसे स्वीकार करें: सॉफ्टवेयर में विफलता-सुरक्षित और विफलता-त्वरित रणनीतियों को समझना

失敗は必要だから受け入れよう: ソフトウェアにおけるフェイルセーフとフェイルファスト戦略を理解する

실패는 필수이므로 이를 수용하세요: 소프트웨어의 오류 방지 및 오류 방지 전략 이해

A falha é necessária, então aceite-a: entendendo estratégias à prova de falhas e rápidas em software

Провал обязателен, поэтому примите его: понимание отказоустойчивых и отказоустойчивых стратегий в программном обеспечении

Başarısızlık Gereklidir, O halde Onu Kucaklayın: Yazılımda Arızaya Karşı Korumalı ve Arızayı Hızlandırma Stratejilerini Anlamak

Thất bại là bắt buộc, vì vậy hãy chấp nhận nó: Tìm hiểu các chiến lược an toàn và thất bại nhanh trong phần mềm

失败是必然的，所以要接受它：理解软件中的故障安全和快速失败策略

Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices, including machine learning operations (MLOps). For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate. Developers never asked for software security to be a part of their jobs, but it’s become abundantly clear that they really don’t have a choice. This isn’t to say that developers are the only party responsible for securing the software supply chain, of course. But particularly, as artificial intelligence (AI) and machine learning (ML) play an increasingly vital role in software development, considering security at the beginning of the software lifecycle has never been more important. only As the scale of AI continues to expand and large language models (LLMs) become more common, developers face the responsibility of integrating AI and ML models into both software updates and new software solutions. While the potential for innovation in AI/ML is immense, it also brings along greater concerns, especially considering that many developers lack the capacity to manage their development securely. Understanding the Impact of AI and ML Understanding the Impact of AI and ML Every organization wants to leverage the power of AI and ML to benefit their businesses, but they need to do so with a full understanding of the risks they may face. For example, security lapses can inadvertently introduce malicious code into AI/ML models, creating vulnerabilities that attackers may exploit. This threat could entice developers to adopt compromised open-source software (OSS) model variants, which would ultimately expose corporate networks and cause significant harm to an organization. Further, developers are increasingly turning to generative AI to produce code, often without full assurance regarding its security. This poses an additional layer of risk, creating a need for thorough code vetting from the outset to proactively mitigate potential threats to the software supply chain. The prevalence of these threats underscores the ongoing challenges faced by startups as malicious attackers look for new avenues to exploit AI/ML models. The deployment of AI and ML models isn’t likely to slow down anytime soon, creating a major reason why developers need to integrate security into their roles and implement the defenses necessary to enhance resilience against evolving security threats. It’s clear that further education is needed — McKinsey found that even many high-performing organizations have yet to master AI adoption best practices , including machine learning operations (MLOps). AI adoption best practices AI adoption best practices For a deeper understanding of the impact and implications of AI, startups might first consider building AI- or ML-driven software or solutions to be used by internal teams, as opposed to a customer-facing application. This teaches development teams the best practices of developing for AI/ML and instills confidence in the organization’s ability to deliver. Building for internal use cases in the solutions first helps teams (and businesses) become more efficient and productive. The Ever-Evolving Duties of Developers The Ever-Evolving Duties of Developers Modern software development is a dynamic landscape, with potential threats lingering around every corner. This makes considering security from the outset of the development lifecycle a crucial [albeit relatively new] practice for startups. Unfortunately, many organizations consider security at the binary level a perk rather than a "must-have." Attackers realize this and look for vulnerabilities they can exploit to weaponize ML models and other software components. Many developers, particularly in startup environments, may lack the training needed to incorporate security measures during the initial stages of development. To mitigate this, teams may attempt to fast-track development by using AI-generated code, but this can lead to other serious issues. For example, the AI might be trained on open-source repositories that lack thorough vetting for vulnerabilities and complete end-to-end security controls. While this tactic can save time and resources, it could also unwittingly expose the organization to risks that will prove costly down the road. Once implemented in AI/ML models, these vulnerabilities may go undetected and become more impactful. The era of widespread AI adoption has transformed the traditional developer role; junior software engineers often employed by startups may not have sufficient training or experience to navigate the evolving security landscape. As startups build out their teams, they must help their developers evolve into security professionals to support an organization-wide DevSecOps mentality. By integrating secure solutions from the start, developers can achieve peak workflow efficiency while instilling confidence in the organization's overall security posture. Attracting talent is always a challenge for startups, but the current state of the software development landscape could actually serve as a recruiting tool. By helping prospects understand the importance of baking security into software from the beginning of the development process — along with the fact that this is an industry trend that’s not going away soon — businesses create an attractive culture where developers add to their skill sets and eventually help further their careers. Shifting Security Left as a Cultural Mindset Shifting Security Left as a Cultural Mindset The security landscape for binaries and ML models demands continuous evolution to stay ahead of emerging threats, and it's a mindset that should filter down throughout a company's culture. As AI implementation becomes more widespread, startups can't afford to defer necessary security protocols to later stages of the software development lifecycle. By then, the risks may become insurmountable. It has become clear in recent years that startup leaders should embrace the "shift left" mentality for software development, with a proactive emphasis on security from a project's inception. This ensures that every facet of the software development process prioritizes security, enhancing the overarching security posture of the organization. When specifically applied to AI/ML, the shift-left mindset verifies the security of code generated in external AI/ML systems and ensures that the models are devoid of malicious code and comply with licensing requirements. For startups (or any business, really), it's best not to think of shifting security left as a set of operational guidelines and procedures. It’s much more effective when it serves as a philosophy embedded into the organization’s culture. It can't be overstated: implementing security measures from the beginning of the software development lifecycle is imperative for startups to consistently thwart attacks. This ultimately saves businesses the time and resources it takes to address costly and potentially harmful attacks and allows startups to focus on doing what they do best: innovate.

It’s Time for Developers to Embrace Security as a Core Job Function

*** The History of Science Funding The scientist has always been a risky employee in terms of ROI.  They are trying to uncover truths about the universe, and oftentimes, the universe gives them the bird. Because experimenting means risking a lot of money and time on a possibly worthless idea, a scientist is a forever intern, until they make a breakthrough, then they become senior associates. That said, the scientist has been trying to make his own money. With the Alchemists, this was literal. While they invented Chemistry and catalyzed the birth of worldwide gold rushes, turning lead into gold was, alas, a wrong idea believed for centuries. The search consumed the lifetime of one person after another, with only dreams of wealth to get them through. But their tenacity was a testament to their resilience and patience. Patience meant, for the time being, remaining in the employ of someone who could afford the risk of backing science in the past. And that meant a King because they had gold/money collected from taxes. Wizards and fortune tellers didn’t make much sense, and they were comedians come to give the King a jolly time before he went to war. Though, while throwing guts on a wall may be stupid, it was mysterious and if they were right, doubly impressive. And here was this (broke) scientist, insisting that they knew a REAL strategy to help the King win. What was their credibility? Circa 200BC, the scientist is Archimedes and the King is the political head of Syracuse. Being a leader in those times largely meant you needed to win wars and as history had taught Kings the utter uselessness of charlatans, the scientist was given a chance to make his case. Archimedes made his case alright. It that he sunk the ships of the Romans with ingenious cranes and catapults that threw heavy stones. has been recounted Since his time, patronage from Kings, Princes, Bankers and Presidents to scientists has been immense. The scientist is respected, and all great scientists, even Leonardo da Vinci who was mostly fawned over for his impressive artwork, took off some time to design weapons. For weapons help the King win and hence, keep the scientist with a job. Scientists soon became ever more pivotal in war efforts. Especially Physicists and Chemists, who have designed countless forms of military hardware to date. However, the emergence of scientific methods in Economics, Sociology, Psychology, Biology, all riding on the power of statistical analysis and logical inference, quickly made the scientist important in every field of human endeavour. The problem however remained. To get a loan, the scientist usually had to, and still has to, rely on government funding because the government remains the biggest fish able to take on sufficient risk in the financial markets. Hate it all you want, but without credit from the government, be it debt or real money, a lot of scientific work would have stalled. Best example - SpaceX. However, governments and their ability to debase money and finance things on debt, made the world wars last longer to destroy the world much harder. It also led to economic depressions and after the 2008 financial crisis, Satoshi Nakamoto, a genius computer scientist, decided to create Bitcoin – a monetary tool outside the purview of government currency debasement. Birth of a financial model divorced from the King Bitcoin has been controversial from its inception. Of course, Kings and governments hate it. It is cutting into their business. A big part of the private sector also loathes its nature of priding in technological exclusivity, so that six years later, a hard fork was implemented to create Ethereum, a cryptocurrency built to provide extra blockchain services such as smart contracts. Many other hard forks quickly followed from the faithless. However, Bitcoin is still mainstream and has recently become interesting to Big Finance. The Bitcoin ETF proves as much. After 15 years of laughing at a thing that keeps building bigger and better, even the harshest critic will shut up and start listening more intimately. Because they now know they are missing something. Energy scientists are also starting to pay attention, with some claiming that Bitcoin mining may be our . are doing well selling cheaper electricity packages that have been subsidized by Bitcoin mining on the side. fast track to an energy transition Energy engineers But these are late to the party. Computer scientists have been earning well in Bitcoin, Ethereum, Doge for decades. And if any scientist has been comfortably living outside the need to get big budget funding from governments, that has been the computer scientist, from way back in the 20th century. While the field of Computer Science is much younger than Physics, Astronomy, Biology, many computer scientists quickly learned to earn big from private enterprise and individualized work, without begging the Kings and their Big Bankers for a loan. Futuristic Science Funding itself through Bitcoin Bitcoin is money for the people, and science has evolved to also be something done as a public good, on an open source plan, by dedicated people who put in their own time and money to make something good happen. As I mentioned, Computer Scientists now exist on the internet who are eagerly improving the Bitcoin ecosystem using the power of collaboration and their earnest efforts. These mostly come from the land of software development and after getting orange-pilled, decide to stay at Bitcoiner-land and build the Bitcoin ecosystem. However, there has not been much of an on-ramp for other types of scientists and this is the opportunity existing, wide open, for anybody to take. Currently, many a scientist in the Bitcoin world is a computer scientist of the type who builds zero-knowledge proofs, rollups, and more layers of the Bitcoin blockchain. But many more scientific people are needed. To re-iterate, I feel more electrical and power engineering scientists should be at the forefront of how Bitcoin mining equipment can provide electricity access to those without, making investments in clean, stranded energy sources much easier to manage. What better job than to be the electric engineer who designs their own job by bringing electricity to your people? Every university student of electrical engineering, whatever the developing country, should learn about this. Because developing countries in Africa, Asia and Latin America are struggling with scaling electricity usage from otherwise cheap energy sources, because of the high premiums that locals just cannot pay. The knowledge of using Bitcoin to subsidize electricity access from stranded energy sources should be spread as far and as widely as possible. Now, as an aspiring quantum information scientist, I feel there is also a place for me in the Bitcoin ecosystem. While the public might know how quantum information science threatens to undo the good that Bitcoin has done by potentially hacking it, I find that building quantum-resistant algorithms is far from scratching the surface of quantum capabilities. For example, quantum technologies could provide for Bitcoin nodes, allowing even weak signals to be successfully transmitted and ensure blocks are mined. better signal sensors Quantum computing could help guide better on how Bitcoin infrastructure could be better set up across nations and continents for optimum usage. solutions in logistics Quantum networks could provide better ways to securely. transmit Bitcoin information Some problems in the Bitcoin ecosystem could be (Bounded-error Quantum Polynomial) problems, which are the purview of quantum information science and these should be discovered and worked on using quantum computers. BQP Most importantly, quantum computers will be orders of magnitude better at mining proof-of-work cryptocurrencies than classical computers. When Bitcoin befriends Quantum Mechanics Moore’s law is coming to an end. IBM has already built transistors with only 5 atoms. To get smaller, it becomes harder to manage thermal noise and other nanoscale problems. To manage thermal noise, even more cooling will be done, the way it is done for qubits. Also, a 1-atom transistor is effectively a qubit. This is the quantum realm, and like it or not, more people will study quantum mechanics in the not-too-distant future, and by extension, quantum computing. The classical computing world can only scale by a multiplicity of the same technology, which will consume even more energy. The efficiency gains of quantum technologies like quantum computers will be needed. While , the science of building qubits is ramping upwards and systems are getting more powerful. There might not be an exponential growth in qubits with their own Moore’s law, but a linear growth in qubits leads to exponential computational power. Which kind of is a Moore’s law! I have said quantum computing is very expensive You remember this graph; If approximately 14 billion dollars in 2023 can bring in (logical qubits are the real qubits as manipulated in mathematical theory), by linear extrapolation, $125 billion by 2030 as seen above will bring in 428 logical qubits. 48 logical qubits But 7 years from now, Bitcoin itself might have ballooned to $200,000 per bitcoin which is a $4.2 trillion market cap. By linear extrapolation, $3 trillion is needed in global investments to take us to 10,000 logical qubits. As we can see, Bitcoin alone can pay for it over a 7-year span. Why 10,000 qubits? My Research Project Over the past three months, I have been studying QCourse551-1 which was offered in a collaboration between QWorld and Classiq Technologies. My research project was Project 11 - Bitcoin Mining using Grover’s Search Algorithm. The motivation for my project came from that shows that 10,000 logical qubits alone can do Bitcoin mining faster than any classical system using the same energy consumption. a research paper This is because 10,000 qubits can encode the full double SHA256 hashing process that goes into mining Bitcoin, but since they use Grover’s search algorithm, they effectively achieve quadratic speed-up by square_root(N) where N is the number of elements to check in an unstructured database. ASICs mining for bitcoins also check an unstructured database of random hashes for the nonce value. The question is, which one is faster? Most ASIC miners today are checking terahashes or For example checks 120TH/s. That is 120 million hashes every second. 1 million hashes every second. this miner Can a quantum computer beat that? Of course. square_root( 120 million) = only 10954 checks per second. A 1,095,400 % efficiency increase. And the more the competition, the more the quantum computer tears ahead in the race. The is rocketing upwards of 600 million million hashes per second. This is outputting enough heat to make climate scientists worried sick. But what if we replaced all those clunky ASICs with state-of-the-art QPUs from the year 2032, how many comparative hashes per second would they clock? square_root( 600 million million) = 24 million checks per second. A . current hash rate 2.4 billion % increase in efficiency If the above is not an attractive proposition, I don’t know what is. Bitcoin should fund quantum computing research. It will take a while, but when it happens, it will be glorious. It will be a more canonical event than the Moon landing. In our research, we were checking a much-simplified system with only 8-bit inputs and outputs, modeled on a Grover’s operator working with under 25 qubits. Given our really low hashing power, the advantages of Grover’s search could not be gleamed first hand, and could only be inferred with a relevant complexity analysis of the runs/depth of the Classical computer (my laptop) vs the depth of our Grover’s circuit executed on the Classiq Aer simulator. While it would have been good to model the energetics and the complexity graph of what this means, unfortunately, we ran out of time. However, we had some deliverables to show for our work. Below is what we had including the depth of each circuit. a) The simplified MD5 classical algorithm We modeled a simplified version of the MD5 (a most primitive cousin of SHA256) hashing 95 printable ASCII characters to find the nonce for hex values with difficulty = 1. Note: Our hex values were only 2-digit because we are working with 8-bit values. So our possible difficulty 1 values are only in 16 possibilities i.e. 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0a, 0b, 0c, 0d, 0e, 0f. 00 is also a difficulty 2 element. Hence the searching/hashing function is called simplified_MD5_8bit_difficulty_1or2. def simplified_MD5_8bit_difficulty_1or2():
    printables_list = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~'
    for i in printables_list:
        x2 = ord(i)

        x3 = bin(x2)[2:]

        if len(str(x3))==7:
            x4 = x3+'0'
        if len(str(x3))==6:
            x4 = x3+'00'

        x5 = list(x4)

        a0 = 2*int((x5[0]))
        a1 = int(x5[1])

        b0 = 2*int((x5[2]))
        b1 = int(x5[3])

        c0 = 2*int((x5[4]))
        c1 = int(x5[5])

        d0 = 2*int((x5[6]))
        d1 = int(x5[7])

        a = a0 + a1

        b = b0 + b1

        c = c0 + c1

        d = d0 + d1
    
        a = ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b)
        
        print()

        d1 = d//2
        d0 = d%2
        d = d1*(2**7) + d0*(2**6)

        a1 = a//2
        a0 = a%2
        a = a1*(2**5) + a0*(2**4)

        b1 = b//2
        b0 = b%2
        b = b1*(2**3) + b0*(2**2)

        c1 = c//2
        c0 = c%2
        c = c1*(2**1) + c0*(2**0)

        decimal_result = d + a + b + c
        binary_result = bin(decimal_result)[2:]
        print(binary_result)
        hex_result = hex(decimal_result)
        print(hex_result)

        if hex_result == '0x0':
            difficulty_2.append(hex_result)
            collisions_difficulty_2.append(i)
        if hex_result == ('0x1' or '0x2' or '0x3' or '0x4' or '0x5' or '0x6' or '0x7' or '0x8' or '0x9' or '0xa' or '0xb' or '0xc' or '0xd' or '0xe' or '0xf'):
            difficulty_1.append(hex_result)
            collisions_difficulty_1.append(i)

    print('Difficulty_1 list = ',difficulty_1)
    print('Difficulty_2 list = ',difficulty_2)
    print('Colliding inputs for difficulty 1 = ',collisions_difficulty_1)
    print('Colliding inputs for difficulty 2 = ',collisions_difficulty_2)
    
difficulty_2 = []
difficulty_1 = []     
collisions_difficulty_1 = []
collisions_difficulty_2 = []

import numpy as np
simplified_MD5_8bit_difficulty_1or2() As can be seen, to find the difficulty 1 (and by extension the difficulty 2) elements, we have to reiterate through 40 lines of code (ignoring spaces and printing in the for loop). There are 96 printable ASCII characters to hash and check hence 96 * 40 which gives us a circuit depth of 3840. However, this is run through fast by my laptop. Less than a few seconds. b) The simplified MD5 quantum algorithm We modeled a quantum version of our simplified MD5 algorithm to simulate finding the difficulty 1 nonce values no matter what the input ASCII character to the circuit was. This is possible because all we need is a zero at the beginning of our hex value. Since our hash set was small (only 96 ASCII characters), we tuned the system to ignore the input ASCII value so it is redundant, and to aim to capture all possible zeros given the Arithmetic expression; a == ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b) which is also in the classical Python algorithm. Notice that the 4 functions being added together are derived from the . original MD5 algorithm Since we want difficulty 1 values, we add and to the above function and then synthesize it in the Classiq platform. d = 0 a = 0 (Note: This is a shortcut thanks to the tireless work of the Classiq team. The Python code was also built in the Classiq Python SDK but it had a last-minute glitch. Hence we only have working Python SDK code for the Grover’s operator, but not for the Grover’s operator with a difficulty-1 hash/search, which is what you had to see here ) Hence our input Arithmetic expression is; a == ((d ^ (b & (c ^ d))) + (c ^ (d & (b ^ c))) + (b ^ c ^ d) + (c ^ (b | ~(d))) + b) and d == 0 and    a == 0 The resulting circuit has a depth of only 913 The quantum circuit wins! Endnote While the project time ended, our work is still a work in progress, to continue until we build a functional 10,000 qubit quantum bitcoin miner. Voluntary efforts to support us technically are most welcome. Some of our code is still glitchy and we have only scratched the surface of the Classiq platform’s capabilities. An ingenious software tool that takes away the cumbersome tinkering with gates, as would have been needed for anybody building the same project using Qiskit. Special thanks to Classiq and QWorld for the opportunity. And our mentor - Dr. Eyal Cornfeld, for the guidance. ***

Hash Rate Analysis Projections: Why Bitcoin Should Embrace Quantum Information Science

হ্যাশ রেট বিশ্লেষণ অনুমান: কেন বিটকয়েন কোয়ান্টাম তথ্য বিজ্ঞানকে আলিঙ্গন করা উচিত

Prognosen zur Hash-Rate-Analyse: Warum Bitcoin die Quanteninformationswissenschaft nutzen sollte

Proyecciones del análisis de la tasa de hash: por qué Bitcoin debería adoptar la ciencia de la información cuántica

Projections d'analyse du taux de hachage : pourquoi Bitcoin devrait adopter la science de l'information quantique

हैश दर विश्लेषण अनुमान: बिटकॉइन को क्वांटम सूचना विज्ञान को क्यों अपनाना चाहिए

ハッシュレート分析の予測: ビットコインが量子情報科学を採用すべき理由

해시레이트 분석 예측: 비트코인이 양자 정보 과학을 수용해야 하는 이유

Projeções de análise de taxa de hash: por que o Bitcoin deveria adotar a ciência da informação quântica

Прогнозы анализа скорости хэширования: почему Биткойн должен использовать квантовую информатику

Hash Rate Analizi Projeksiyonları: Bitcoin Neden Kuantum Bilgi Bilimini Kucaklamalı?

Dự đoán phân tích tỷ lệ băm: Tại sao Bitcoin nên áp dụng khoa học thông tin lượng tử

哈希率分析预测：为什么比特币应该拥抱量子信息科学

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