DeHealth built an AI & blockchain-based health app for everyone and a Medical Data Bank for B2B to ensure and protect human health and Make health data profitable and lifesaving for billions of people.

DeHealth

Medical data is very sensitive, especially regarding personal records. This data is already in the possession of various organizations — pharmaceutical enterprises, medical institutions, tech companies, etc. It is also often found in 'free' circulation on the black market. In fact, the medical data market was estimated at and is expected to reach . However, in 2021, 45 mln individuals became victims of healthcare data attacks, while a single medical record can go for up to . USD 32.9 billion in 2021 USD 105.73 billion by 2030 $1,000 on the black market Nowadays, a person does not control their medical data. However, being a blockchain enthusiast since 2013, I believe that Web 3.0 can create a privacy-driven future while ensuring compliance with legal frameworks and robust security standards in healthcare. Let’s imagine a blockchain network, or maybe a depersonalized application ( ), that ensures maximum patient awareness and participation in how their data is used, depersonalized, and secures data flows throughout the entire ecosystem. dApp How should it work? The test of law: GDPR and HIPAA Under , health data is a special category of personal data that can be shared only upon the data owner's consent. Following this standard means that users provide explicit consent when filling in their personal and health data to the dApp. GDPR In addition, the synchronization of medical records from MIS and other data providers should be created upon the user's request for the latter to synchronize data records belonging to the user with their health card - let’s name it for the sake of thematic consistency. medical ID Lastly, for the purposes of distribution within the system, the data should be depersonalized, thus making it impossible to identify the person. This is the core requirement HIPAA stipulates for protecting medical data. To achieve this condition - all data in our assumed ecosystem should be encrypted and stored in a decentralized network. The system should comply with the Data Protection Law, GDPR, HIPAA, and the Data Protection Act to ensure that the information attached to the patient’s unique ID is depersonalized and always remains anonymous. Going the extra mile with Blockchain Web 3.0 makes it possible to secure medical data and enhance individual protection to a higher level while providing even more power (and ultimately benefit) to the owners of that medical data. As I already mentioned, the medical data market is huge. Data is used, for example, by big pharma enterprises to accelerate medical research, effective drug compositions, and improve healthcare outcomes. But true owners of those healthcare records - ordinary people, not doctors, clinics, or labs as we used to assume - still don’t earn from selling their depersonalized medical data for its further processing for the purposes of the healthcare industry. What if patients finally get complete control of their personal medical data in terms of privacy as well as remuneration for every instance when it’s being anonymously used? While always having the opportunity to turn off access or delete data that is no longer relevant. This approach to medical data sharing can radically change the current paradigm. 1. Blockchain & security An eligible medical blockchain ecosystem should provide market-specific advancements in the healthcare industry's security, traceability, and data processing. Thus, it has to apply a multi-layered approach that focuses on preventing attacks and mitigating the effect of ransomware. The first level of security certainly should be during the input data validation. The second level should encrypt the data using top-tier banking-grade encryption methods to prevent unauthorized access. Lastly, data should be recorded in the blockchain network, making it immutable and secure. It’s better to be a private blockchain structure to protect the network from any external threats with a Proof-of-Authority consensus mechanism, and all the nodes should run internally on secure server networks. 2. Transparent data flow and architecture How should the ecosystem be designed to ensure that all the participants - patients and healthcare providers - operate fairly and transparently while enjoying the benefits of the Web 3.0 data economy? It all could start when the person is registered and a profile that serves as their 'digital international health passport' is created. This would be a unique user identifier through which all their medical data is available anywhere in the world. Personal data should remain encrypted and never be shared or seen by any network participant besides the patients. The addition of verified medical data from medical institutions (labs, hospitals, etc.) can be initiated by the patient through the API. Once this has been established, verified medical data may be included in the 'marketplace' upon the patient’s request within the network, where this data is filtered by profile, characteristics, and type and is added to the corresponding data pool. As medical and lifestyle data would be encrypted using a private key, the patient would have the option to sell all of his or her depersonalized medical or lifestyle data or selected parts. 3. Making data owners part of the equation Now, it would look like individuals are the true owners of their data and properly compensated for its usage. In such an ecosystem, each time any data buyer - pharmaceutical enterprise, insurance company, research institution, etc. - would request the data they need, they would pay for it in nominal ‘currency,’ or for example, in native tokens, and part of this payment would go to the patient as royalty. Moreover, those earned tokens could be used within the ecosystem or withdrawn to a bank card. Explicit patient consent should be the pillar of the security architecture. To synchronize their data from MIS, a clinic, lab, or any other provider of healthcare records to ‘medical ID’, patients should request MIS to deliver that data via an API connection. This connection should be implemented via a secure IPsec channel, and the data packets should be authenticated and encrypted in HL7 format by the algorithm. (HL7) is a standard that defines a format for transmitting health-related information. At the same time, Secure Hashing Algorithm (SHA) 256 encrypts the transferred data by transforming it into a secure unreadable format. SHA256 Health Level Seven This described approach would let individuals - like you and me - share their data and know exactly how it's used. In addition, we would be able to revoke the data we share at any time. Finally, and most importantly, we would never use our data — only depersonalized records would appear in datasets. Utopia? Nope. This is what we have already implemented in DeHealth, paving the way for developing the radically new Web 3.0 Medical Data Economy.

Medical Data Protection: Empowering a Privacy-driven Future With Web 3

In the very beginning, the Internet was a free space where anyone could communicate. As time flew by, it started showing signs of monopolization: a common tendency for any economic environment. Big tech companies (Google, Facebook, Amazon) gradually took over various aspects of the global network, making it harder to launch new initiatives. Web3, a New Global Network Frontier Today, the foundation called to bring decentralized Internet back to life is known as Web3. In short, was about linking information and getting it to the internet. is about bringing people together and empowering social interaction. Under Web2 many more people got to the global network due to simplified access to applications and services. Web1 Web2 is currently in its active development stage. Its founders believe in the following: Web3 Users, not corporations, own and control their data. Relations between platforms and users get more micro-oriented. Global digital transactions are secure, confidential, and flexible. Creators, who monetize their content via subscribers, are more personalized. Online exchanges of information and value are decentralized. In Web2 ecosystems, market infrastructure is created by the platform providers. Conversely, in Web3, . They are placed in a decentralized ecosystem where users enjoy full control of their data. No gatekeepers are deciding who can participate, and censorship is nearly impossible. platforms are not given by third parties is a primary issue for decentralized systems as there is no central authority to boost network performance. However, the problem is mitigated with tokens that serve to manage market activities. Producers may be interested in bringing an offer to a platform early in exchange for tokens that grow in value along with market activity growth. Similarly, developers of market infrastructure may be interested in the creation of main infrastructure components in exchange for tokens. Scalability Tokens provide a new stimulus that was not available in Web2. In Web3, are employed much less, due to data transferability combined with the functional compatibility of technologies. Even if Web3 ecosystems generate network effects faster, they can’t capture users or get additional value from user data (as it used to be done in Web2). Web3 ecosystems have to consider participants not only at the market level, but at the levels of infrastructure, financing, and management. Web3’s commercial protocol has to do the following: network effects Create market infrastructure around the protocol on the infrastructure level. Manage token liquidity to stimulate financing as well as tokens’ value growth (which gives stimulus to participants) on the funding level. Apart from the initial team, adjust participants’ scalability on the management level. In Web3's future, everyone has the right to own and control their digital personality. The mission of Web3 is to “nurture cutting-edge applications for decentralized web software protocols.” Unsurprisingly, a decentralized and fair Internet where people own their data, identity, and life may benefit various industries, including healthcare. Web3 Solutions to Healthcare Challenges Currently, digitalization is a sustainable trend in the healthcare world. The global digital health market has dramatically grown since COVID-19 and is predicted to in the next years. No wonder new technology is being implemented by big pharma and hospitals. However, as the cost of a mistake in healthcare is high, companies operating in the industry face multiple challenges. expand by over 20% Such as; Medical data and patient history are often disorganized, and thus cannot be reproduced cohesively. Therefore, doctors are forced to deal with several (3 to 5 on average) different systems at the time. Blockchain offers a security solution: its traceability is a perfect fit for implementing electronic medical records, remote patient monitoring, etc. 1. Security of data transfer and storage 2. Complex, lengthy data verification process Medical decision support systems and other products are time-consuming and require significant initial investments. Remote medicine saves time for patients and physicians, making the services provided more physically and financially accessible. 3. Quality of medical data. Accurate medical data is highly valuable for research institutions when developing pharmacological businesses, new treatment protocols, etc. The process of getting data is often painful: companies tend to receive unreliable information leading to the creation of, for example, low-quality drugs. On the other hand, people whose data is being sold cannot monetize it as there is no infrastructure for this. Data tokenization is a possible solution. If all medical data from patient records, tests, and vitals collected by medical gadgets are tokenized, it turns information into a reliable asset for all parties involved. 4. Limited access to medical data. Health information is often scattered among different systems and cannot be easily retrieved. Therefore, the solution is laying in a single place to store all medical information of a patient: data on doctor's visits, tests, information from medical gadgets, etc. The place must be always available no matter where the patient is. It facilitates doctors' actions in crucial moments when it is necessary to access a medical history to make an accurate diagnosis and prescribe the right treatment. to provide more ways to analyze and create context around medical data. For example, there is a who might have similar health data. AI can analyze tons of genetic information and health data from many people through the blockchain. Doctors can not only have the patient's medical history but have AI looking at similar people and what has already worked for them. All the time data remains private, encrypted, anonymous, and immutable, meaning that it stays on the blockchain and can’t be edited. Web3 has the potential concept of personalized care based on a digital twin Also, blockchain offers a way to solve the aforementioned challenges through data tokenization. It can ensure security by replacing sensitive data with non-sensitive values. Patients can sell their tokenized anonymous data by transferring it to insurance companies or companies conducting clinical trials as The more people enter the system, the more data and new tokens appear. In addition, patients can monetize their depersonalized data by making it available for use by third parties. NFT tokens that keep information about a specific disease. Web3 makes it possible to create decentralized platforms that collect and structure medical assets from patients, acting as a reliable source for data verification, storage, further transfer, and sale on the marketplace. Blockchain-based healthcare solutions are designed to improve scalability, security, and other data limitations so that billions of people can depend on them for their healthcare needs. Conclusion Even though Web3 is still under development, it has already shown its impact on multiple spheres of human life. Decentralized platforms provide the perfect environment for solutions that streamline complicated processes. In healthcare, data tokenization is a perfect example of ensuring security, simplified verification, and accessibility of personal medical information. There are a lot of options to purchase fungible and non-fungible tokens. And there are also opportunities to earn them. As an example - DeHealth App, AI & MedicalData-Based Mobile App (decentralized application). It is an app that allows users to securely and autonomously store their medical data, share, manage and monetize it using the DHLT token, supporting their health while selling their anonymized data. That’s the way tokens can unite all decentralized network’s participants for achieving a common goal - the network’s growth and token value increase, eliminating the main obstacle of centralized networks where value is accumulated by only one participant. In these cases, the network, sooner or later, ends up fighting its own customers, users and/or partners. This is exactly how Web3 offers a new way that combines the best aspects of previous Internet eras.

Web1, Web2, Web3 and Counting: Addressing Healthcare Challenges 

The war in Ukraine, in the center of Europe, the country where I was born, taught me to not avoid risk-management. When you and your team develop a multi-million dollar business, you should always prepare different scenarios. No one knows what will happen to the global economy in reality, and which new “black swans” we will face. While being a CEO of , I want to be completely sincere and tell what is happening with DeHealth and where we are going today. DeHealth Let's start with the background of DeHealth. DeHealth (DEcentralized HEALTHcare) is a brand and international group of companies with headquarters in the UK and research centers across the globe, from the US to New Zealand, founded by Ukrainian and Israeli founders. Ukraine hosts one of DeHealth's R&D centers with a strong development team. The local sub-brand of DeHealth in Ukraine is the SaaS platform ASKEP. As of today, DeHealth is trusted by more than 35,000 doctors, 650 medical centers, and more than 3,200,000 patients from all over the world. It is also important to tell more about the solution and its components. DeHealth App, AI & Medical Data-Based Mobile App. For the App to work at full strength, it is necessary to collect, process, analyze, structure, and package individual health data into a finished product while using it to train the AI. Working with the medical data, which is the most sensitive, important and valuable asset in the healthcare industry, we prioritize the security of the data storage, respecting the Data Governance and Security Standards — Data Protection Law, GDPR, HIPAA, Data Protection Act. A high-quality cybersecurity of our product is guaranteed by our inside team and independent experts like Hacken and white hat hackers communities as well. decentralized storage for health data and digital assets, data oracles protocol, and incentive layer. The DHLT protocol digitizes and secures the global health data for everyone. The storage receives clinical, medical, and personal data on the health status of individuals (users) daily with its de-identification, structuring, and combination into a single network. uses all the data from the DHLT Network and provides users with an effective technological tool for affordable and preventive medicine, which makes the global healthcare industry more effective. DHLT Network: DeHealth AI The core is that underpins the DHLT Network, a decentralized storage for medical data and digital assets. With DHLT, anyone can upload and store their medical data, receive and host digital information, and sell their anonymized data. It is possible to use DHLT tokens to pay for services inside the DeHealth App and as an economic incentive to secure long-term storage of health data and its constant updating. DHLT, the native token What Happened? The native coin DHLT (Decentralized Health Token) allows DeHealth users to monetize their medical assets, thereby motivating them to engage in health as a new and high-quality lifestyle. As part of the IDO, the first issued “health tokens” from the DeHealth HLT Network were completely . sold out in 2 hours Further, when the token was listed on the exchange, we set the price of X5 (+500%) of the price of the private round. The listing on the exchange took place during the beginning of the Ukrainian-Russian war, which was used by our market maker, who took the liquidity of the project and tokens to his crypto-wallets during the first trading hours. Due to these illegal fraudulent activities, the price of the token has fallen. We consider this attack not only against our company but also against all our investors. Since March, there has been a criminal case registered under Art. 190 of the Criminal Code of Ukraine. We hired the best lawyers and specialists, including the Cyberpolice, to ensure that the scammers face charges. The war has shown the true faces of certain partners and contractors who, unfortunately, caused material and reputational damage to our company. At the same time, it mobilized us not to fall, but to make a big leap forward, despite the turbulence. Where We Are Today Thanks to the support of our technical partners and friendly launchpads, Cyberfi and Scaleswap, we have reissued the smart contract of the token and are already actively preparing to return to the exchange. We continue to follow our path to make this world a healthier and more honest place. We have partnered with Hacken, a global cybersecurity company, to make web3 healthcare even safer. We have already the audit from Hacken, which we disclosed separately. In addition, the DeHealth Foundation, together with our large international network of pharmaceutical companies, has been actively functioning for three months now. Together we help Ukraine with the supply of vital medicines. passed We started working together with the leading universities to create a powerful R&D for the digitalization of healthcare and the standardization of approaches to the safe donation of medical data. Furthermore, DeHealth continues active negotiations and partnerships not only with companies from the crypto industry but also with medical organizations and large pharmaceutical manufacturers. Big Pharma acts as a buyer of medical data for ensuring accuracy in the research and development of medicines. DeHealth acts as a provider of high-quality and relevant patient medical data, which helps top drug manufacturers make the medicine production more efficient, accurate, and effective. , a digital humanitarian, futurist, and innovator, KOL with 30 years of experience in specialty chemicals and pharmaceuticals at Novartis, Lonza, and Ciba, has joined our team to support these goals. Philippe Gerwill We are trying to make the world a safer and healthier place with our partners and friends. What is Next? My business partner Anna Bondarenko and I are constantly looking for resources, new talents for the team, and partners within the active business planning process that will help us succeed in the multi-billion dollar market. As the CEO, I am responsible for the company's growth and development. This is why I set a goal to attract VCs and family funds as our additional investors within 2-3 months. Our competitive advantages are web 3.0 at the intersection with a business model based on the big medical data of millions of people and its tokenization. Our focus remains on supporting the health of people around the world. With the help of a team of AI engineers in the USA, led by an ex-AI & Big Data developer at Google, we are building an effective tool for affordable and preventive medicine. Blockchain, on the other hand, allows organizing all medical data in the form of a special marketplace for safe digitalization, storage, and transfer to other participants in the healthcare industry. Thus, everyone can contribute to the global healthcare industry in the form of depersonalized medical data. DeHealth's emphasis is on collecting and structuring data, as well as on creating a decentralized infrastructure. Such an approach will make healthcare more effective while offering access to digital assets globally. DeHealth roadmap includes the launch of the MetaHealth metaverse as one of the priorities, which is the direction that the project team is already working on today. We, at DeHealth, do everything to ensure that our users, investors, and partners feel the stability of decentralized systems based on web 3.0. Our DeHealth community remains resilient and continues growing with a shared belief in the value of medical data, MedFi principles, and the power of MetaHealth. These values and beliefs show that DeHealth is the trend of the future originating in the modern day. In the context of the global crisis and falling markets, CEOs and founders of large global companies, as well as VCs, advise startups to set survival as their goal. Indeed, it is difficult to predict the global market’s behavior and its ability to recover tomorrow. In addition, these predictions are senseless. The one thing that I know for sure is that we are witnessing a new digital era, which is an exciting journey in web 3 and endless progress. Our goal is development and scaling in this new world. Thank you for growing and developing with us. Also published here .

Disrupting the Global Healthcare in Web3

There's a lot of buzz about the metaverse and its potential to change how we live our daily lives. Currently, the Web3 metaverse is projected to be worth $47.5 billion by the end of 2022 and a staggering $678.8 billion by 2030. Clearly, the metaverse will only become more integrated into everyday life. It still has a long way to go, but I think that tech like augmented reality, AI, quantum computing and all the rest of the components of the metaverse will pave the way for a better, faster, more comprehensive healthcare landscape. According to research by Accenture, authenticity within the metaverse is something that will become more important as the technology develops. Additionally, companies that take their brands into the metaverse early will have a definitive “pioneering advantage.” This combination of factors means that the faster healthcare companies can establish a trusted presence in the metaverse, the better. A Quick Aside: Defining the Metaverse Before we go further, let's back up and talk about what I mean when we say "metaverse." The consensus is that the metaverse is where the physical world converges with the virtual, so this is the definition I’m using. 

This includes everything that allows real-world users to immerse in and interact with the virtual world, like: - Augmented reality - Virtual reality - Artificial intelligence - Internet of Things (IoT) - Web3 - Robotics - Edge computing - Quantum computing. How the Metaverse Can Transform Healthcare In the U.S., healthcare is a huge, sluggish beast in desperate need of an overhaul. Globally, while some countries have a more sophisticated healthcare system, there is an overall lack of efficiency. Because of the safety and security regulations of the global healthcare industry, this is often one of the last sectors to experience real growth and change. Statistics show that 75 percent of business executives are ready to either invest or partner with next-generation computing companies to address sweeping, previously unsolvable problems (like creating secure, efficient healthcare data sharing). This is where I believe the metaverse fits into the future of healthcare. Here are a few ways it's already transforming the industry. 1. VR and AR VR and AR have already become essential tools for improving medical outcomes. Not only can medical students use AR to safely practice complex procedures, but surgeons can utilize advanced robotics to assist with delicate surgeries that require immense precision. 2. Web3 Digital Infrastructure DeHealth has developed the DHLT Network to deal with medical data. Currently, patients have limited access to their health information, and they have no real control over their own data. DeHealth's DHLT (Decentralized Health Token) puts the control in the patients' hands and incentivizes them to make better, healthier choices. This happens through the ability to monetize their medical assets (e.g., their health data and future health activities), which is an excellent motivator for becoming an engaged and active participant in their health journey. In addition, this "medical marketplace" operates on blockchain technology. This means that everything is transparent and accurate for better accountability. The blockchain ensures patient data is secure, and it prevents any retroactive changes to the data as well. It also means that users can "invest" their depersonalized medical data in the global healthcare industry and reap dividends that they choose, such as capital to put toward medicines or money to be withdrawn to their personal accounts. 3. Metaverse Convergence Currently, healthcare is siloed in a way that makes it nearly impossible to get truly comprehensive care. Healthcare professionals have no easy or convenient way to "join forces" and help a patient from multiple avenues. For example, a person with chronic pain may need to regularly consult with a physical therapist, pain specialist, mental health provider and GP. In addition, there may be instances where their pain isn't improving, but it's not apparent why. The metaverse can solve this problem in two ways. Firstly, the metaverse allows patient activity monitoring through IoT-style connectivity (usually called the Internet of Medical Devices). This gives a more complete picture of things like compliance and expected clinical outcomes. If the patient with chronic pain is suffering from depression and struggling to complete PT exercises, then the metaverse allows providers to come to this conclusion much more efficiently. Secondly, access to blockchain technology for medical data allows for near-instantaneous data sharing among a patient's healthcare team. This is another aspect of the DeHealth DHLT network. Patients have their health token, and they can use this to give immediate access to their entire medical history safely and securely via blockchain. This means better collaboration between medical professionals and between the doctor and patient. Step Into the Metaverse For Better Health While we primarily use virtual worlds and Web3 hosting for recreation, the time has come to leverage this technology for a better, brighter future. The metaverse is the key to transforming how we approach our everyday lives, and embracing it is the first step toward a healthcare revolution. DeHealth is building the first "healthy" crypto-community and metaverse for healthcare.
With a web 3.0 protocol, the DHLT Network, we believe that dealing with medical data has to be secured, transparent and monetized on a special marketplace gathering patients, clinics, big pharma and other participants of the healthcare industry. To change how patients and healthcare providers share, monetize and store information for a better, faster, more connected healthcare system – this is the challenge that DeHealth is solving with its tool today.

The Healthcare Revolution: How The Metaverse Can Transform Traditional Industries And Improve Them  

Analyzing Token Sale Models

There has been a lot of buzz about OpenAI GPT-3, now having the largest neural network. Does it mean the AI problem has been solved? Yes, it has a large dataset, but we still don’t know how it learns. OpenAI Basics OpenAI Inc is a non-profit arm of Open.AI LP whose goal is to create a ‘friendly AI’ that will benefit humanity. Open.AI has several different offerings: - an AI system that can create realistic images and art from a description in natural language DALL•E 2 - Generative Pre-trained Transformer is a language model that leverages deep learning to generate human-like text GPT-3 - an updated model that produces less offensive language and fewer mistakes overall but may also generate misinformation InstructGPT - Contrastive Language-Image Pre-training. It recognizes visual concepts in images and associates them with their names. CLIP How are the Models Trained? OpenAI GPT-3 is trained on 500 billion words by using the following datasets: The dataset contains data collected from over 8 years of web crawling Common Crawl is the text of webpages from all outbound Reddit links of posts with 3+ upvotes WebText2 are two internet-based books corpora Books 1 & Books2 pages in the English language Wikipedia Dataset breakdown and training distribution Dataset Tokens Weight in Training Common Crawl 410 billion 60% WebText2 19 billion 22% Books1 12 billion 8% Books2 55 billion 8% Wikipedia 3 billion 3% Training Models can be done using the following methods: This is where we give between 10-100 contexts to a model and expect the model to determine what comes next. Few-shot (FS). This is quite similar to FS. However, an example is given without any training. Context is given to the model to determine what word comes next. One-shot (1S). Zero-Shot (0S) The model predicts the answer given. The idea is that during training, the model has seen enough samples to determine what word comes next. Only the last context is allowed, making this setting difficult. Bias is inevitable Training the model involves taking large bodies of text for GPT-3 and images for DALL•E from the internet. This is where the problem occurs. The model encounters the best and worst. To counter this, OpenAI created InstructGPT, While training InstructGPT, Open.ai hired 40 people to rate the responses and would reward the model accordingly. DALL•E 2 Open.ai outlines the they currently encounter: Risks and Limitations “Use of DALL·E 2 has the potential to harm individuals and groups by reinforcing stereotypes, erasing or denigrating them, providing them with disparately low quality performance, or by subjecting them to indignity.’’ This is what DALL•E 2 believes a ‘CEO’ looks like: This is what DALL•E 2 believes a ‘flight attendant’ looks like: To reduce bias, OpenAI has recruited external experts to provide feedback. GPT-3 Gender Bias To test bias, I borrowed a list of from . You can use the OpenAI to test it for yourself. The results prove to be quite Gender bias prompts Jenny Nicholson playground interesting. Phrases: female/male employee women/men in the c-suite any woman/man knows women/men entering the workforce should know Religious Bias Gender and Race are biases that have been studied in the past. However, a recent reveals that GPT-3 also has religious bias. The following was found: paper Muslim mapped to “terrorist” in 23% of test cases Jewish mapped to “money” in 5% of test cases CLIP Race, Gender, and Age Bias CLIP performs well on classification tasks, as you have already seen in this article. It uses as its dataset to train the model. This is due to the images it is scraping from the internet. However, the model breaks down when it classifies age, gender, race, weight, and so on. This means the AI tools used to generate new art can continue perpetuating recurring  stereotypes. ImageNet OpenAI can be used to improve content generation. But as long as the datasets are being trained by scraping existing internet, we will build biases against age, gender, race, and more into technology. We must take precautions when using the internet. The information that goes into the AI must be filtered, or harmful stereotypes will never be erased.

Here’s How OpenAI is Perpetuating Unhealthy Stereotypes

Así es como OpenAI está perpetuando los estereotipos poco saludables

Voici comment OpenAI perpétue des stéréotypes malsains

यहां बताया गया है कि कैसे OpenAI अस्वास्थ्यकर रूढ़ियों को कायम रख रहा है

OpenAI が不健康な固定観念をどのように永続させているか

Veja como o OpenAI está perpetuando estereótipos prejudiciais

Đây là cách OpenAI đang tồn tại những định kiến không lành mạnh

以下是 OpenAI 如何延续不健康的刻板印象

Over the past few months, I have increasingly noticed that more and more developer teams that I help coach are turning their backs on monorepos, instead choosing to liberate code to separate repositories. For me, this couldn’t have come sooner. Don’t get me wrong, I have seen examples of monorepos work well in the past - a few years ago I worked on a scope-limited system written in which was deployed in three different environments with significant amounts of code reuse and a single team owning the entire codebase. In circumstances like this, monorepos made sense for this project. Go Unfortunately, over the past few years, companies have blindly adopted monorepos as an architectural pattern for all organisational code without considering the individual circumstances of what they’re building. In this blog post, I wanted to present some of the reasons why I think this is a firmly unhealthy engineering practice. Appealing to Big Tech Authority One of the most common arguments used by those who advocate monorepos is an appeal to the authority of big tech companies who have adopted them. If Google, Facebook, etc use monorepos, surely shouldn’t we too? This argument ignores the unique resources and challenges that these companies face. Quite simply, a company with 100s of engineers (or fewer) isn’t likely to have the developer productivity resources needed to allow monorepos to scale. For example, Google internally has that helps manage the review and merge process of cross-team Pull Requests in a monorepo. With tools like Rosie not being in the public domain, many engineering teams have learned the hard way that they don’t have the resources to support such architectural patterns. According to the tweets of the former VP of Architecture at Monzo (a UK online banking start-up), . a tool called Rosie they experienced this very problem Instances like this provide a stark reminder that the fact a big technology company does something is not a substitute for your own professional engineering judgment. Monorepos Create Tightly Coupled Code Google’s consists of seven years of research and data from more than 32,000 professionals across the industry, in companies of different sizes. Their research reports in and were clear; loosely-coupled software architecture is one of the strongest predictors of successful continuous delivery. DORA State of DevOps Report research 2021 2019 Monorepos add significant complexity to the deployment pipeline of software. As the monorepo scales, deploying all software for every change quickly becomes impractical. Slow builds or flaky tests in one service can grind the entire deployment pipeline to a halt. Therefore teams will inevitably face the challenge of adding infrastructure to work out what service needs to be rebuilt and deployed, and which can stay the same. This adds complexity, risk, and overhead to the process of deploying changes to software. As the DORA research describes, for effective high-trust engineering organisations, "teams can scale, fail, test, and deploy independently of one another". This is dependent on loosely-coupled services being separated by strictly-defined interfaces. Removing the source code boundaries between different services removes the strictly-defined interfaces necessary for this. No Architecture Is Better than Bad Architecture In my own experience, the outcomes of architectural practices like monorepos are worse than if the organisation had no centrally proscribed architectural mandate and simply allowed the systems architecture to emerge organically. This raises the question, why is this done in the first place? Conway’s Law is an adage that says: “Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure.” In low-trust teams, a centralised architecture unit or DevOps team might emerge to mandate practices instead of trusting engineering teams to use their own judgments. It is therefore important to look beyond just technical factors and look to the organisational reasons that led to unhealthy software development practices. The character of in films reminds me much of how unaccountable software architects end up conducting themselves. Without being challenged on whether their system met the outcomes of what it was built for, they merely end up trying to build grand structures for the sake of it. The Architect The Matrix By contrast, the engineering teams actually building the functionality at hand are constantly held accountable for the work they produce. Giving individual engineering managers (and thereby, software developers) the freedom and responsibility for the technical architecture of their services, you achieve better outcomes.

Thinking Critically About Monorepos and Why Its an Unhealthy Engineering Practice

: Vested Interest Disclosure The author's an independent contributor, and while HackerNoon has reviewed the story for quality, the claims hereon belong to the author. #DYOR Hi Ethan, welcome to our series “Behind the Startup.” Please tell us about yourself and the story behind WonderHero? Ishan Pandey: Hi Ishan, thank you for having me. It’s an honor to be part of this series! I’m Ethan, Co-Founder, and CEO of WonderHero. WonderHero was founded from a spark of luck. When I was a teenager, I was a game addict and became really good at games in a short amount of time. I was told to stop due to my mum nagging at me, saying, “You better quit games or risk being a loser for the rest of your life”. Ethan Ng: I believe a lot of folks can relate to this. So when my co-founder approached me for this project to lead as the CEO, after playing the alpha game for 3.5 hours, I knew this was it. Since then, I have set forth the mission to fulfill the dream that I couldn’t fulfill as a teenager for many others out there, only this time, they have an opportunity to play and earn. Please tell us a little bit about WonderHero and the P2E NFT based gaming model. Ishan Pandey: WonderHero is a Play-And-Earn RPG for iOS & Android, where players control a team of 4 heroes in tactical turn-based battles to win NFTs and Crypto Tokens. They can trade the NFTs (Hero Skins, Weapons, and Equipment) on our in-built Marketplace and liquidate the Tokens on exchanges for income. Ethan Ng: Besides trading NFTs on the marketplace, players can also stake NFT to earn more Token rewards. To start playing WonderHero, players need at least a minimum of 3 playable Heroes, or they can join a Guild as Scholar to play for free. Can you explain to our readers how crypto gaming guilds differ from traditional gaming guilds? Ishan Pandey: That is a good one. In my opinion, fundamentally, the key difference between crypto gaming guilds and traditional ones is the players’ intent. Ethan Ng: Traditional gaming guilds are formed out of pure passion and interest in a particular game, where players thrive by partying up to progress faster in-game. Gamers volunteered to play a role in their guilds or are promoted through their contributions. With crypto gaming guilds, on the other hand, the primary intent of gaming started as earning income, which introduces a different gaming behavior, mindset, and structure. This means more players are playing for the earnings than for the game itself. The second difference is that while both types of gaming guilds are supportive pillars for the gaming ecosystem to thrive, some crypto gaming guilds have become massive with investments from VCs and other entities. Besides being able to channel players to a P2E game, guilds can also make a financial impact by investing in new projects, purchasing NFT assets (like land) in the game. How can we successfully build a sustainable gaming economy while the industry is undergoing a pragmatic shift in light of the budding popularity of the NFT gaming model? Ishan Pandey: It is truly exciting to be in this space, as we are so early on and everyone is figuring out what is the best way to build a sustainable gaming economy. Much like the early days when games were on consoles and the industry was finding the best model to bring games onto social media networks and the free-to-play model for mobile. Eventually, the industry figured out how to build sustainable free-to-play models, and there were best practices to model after. Ethan Ng: The P2E space is undergoing such a transition too, and every project is experimentation and trying to figure out a sustainable model, but I believe player retention is at the core of a sustainable gaming economy. The game needs to be fun, enjoyed by its community, and keep its players coming back for more. The majority of current P2E gamers are drawn in on the earning aspect, which is unhealthy in the long run for games because players and guilds could move from one game to another based on the earnings potential. The way sustainability works would mean that P2E games need to be able to attract gamers and grow the community even without the earning aspects of it. The earning aspect is more of a means to amplify the growth. OpenSea, currently the largest global NFT marketplace, was hacked, and consumers lost their NFTs. In this regard, what regulatory measures, you suggest, should be incorporated in terms of regulating NFTs to avoid such cyberattacks in the future? Ishan Pandey: I think there are two parts to this: Ethan Ng: Firstly, the majority of the consumers who are victims of hacks are relatively new to the crypto space and are unaware of the possible phishing hack scams. This means information sharing and education for consumers to learn how to protect themselves is much needed as part of their first lessons, much like how we were taught not to tell someone else passwords or sensitive personal information. I believe this is something all projects could do as a collective effort to make this space safer for newcomers. Secondly, vulnerability testing will be an essential practice for projects to keep a lookout for potential security threats against their community and ecosystem. What does the roadmap ahead look like for WonderHero and the NFT-based gaming ecosystem as a whole? Ishan Pandey: For the NFT-based gaming ecosystem, I believe we are entering a consolidation phase. There is a huge influx of projects in the past few months due to the hype and now we are in the midst of a bear market, which means at the end of this phase, we will see which are the projects that didn’t make it through and which are the ones who survived and is thriving with their economy. Ethan Ng: There are also many exciting new projects with promising potential, exploring various mechanics and economic models, which will be interesting to watch how it will turn out. I’m confident that NFT-based games will enter a new phase with better gameplay and a stronger model that revolves around game retention and token utility at the end of this bear market period. As for WonderHero, our team is refining our economic model, increasing NFT and token utilities. The guilds have received the guild management system well and we are continuously working to make it better. At the same time, besides having new content for the game, we are also exploring ways to increase the competitiveness of our PVP as well as other game modes. There are lots to do and there are also many great suggestions from our community that we are evaluating before deciding to add to our roadmap.

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