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A Single Monitor Manifesto Many developers believe multiple monitors improve productivity. Studies have proven it, right? Well, keep in mind, . 🤔 many of those studies are commissioned from monitor manufacturers like Dell and NEC Despite the fact that multiple monitors , I sold my multiple monitor set up a couple years ago and switched to a single monitor. . make you look like a serious computing badass And I’m not alone Here’s why. Focus . So why are we spending money to display multiple things simultaneously? If my email or social media feeds are available at a glance, then I’ll check them constantly. This isn’t just unnecessary, it’s . In a world of endless distractions, being able to focus on a single task for an extended period is a seriously valuable skill. Humans can only focus on one thing at a time counter-productive Deep work is becoming increasingly hard in our distraction filled economy, yet also becoming increasingly important and rare. The few who can spend their days on deep work will become extremely marketable and successful. — Cal Newport in “ ” Deep Work One monitor means my work — and only my work — is displayed front and center. Distractions stay out of sight, and thus, out of mind. Does this look like a place to focus on a task? Two of the most valuable tasks we do on a daily basis require focusing on a single application for extended periods: . Both reading and writing benefit from the focus that comes from being the only thing on the screen. A book with a moving twitter feed in the margin would be a disaster. But many are willingly doing just that. Additional displays often lead to continuously displaying potential distractions. You’re much more likely to keep working if your email, social media, and so on aren’t visible. Reading and writing As a developer, I write code on a daily basis. So I often read docs. But I rarely need the docs visible I’m writing code. I read the relevant doc, then code. My workflow is modal. at the same time Reduced Window Management I ran a 34" LG ultra-widescreen monitor for a month. At first, I loved it. But after a few days, I was surprised to find my opinion soured. It was far too wide to maximize my windows, so I found myself spending too much time fiddling with windows. “What should I put on the left today?” “What’s important enough to be in the middle now?” Sure, the screen was wide enough to display multiple windows side-by-side, but it was so wide that the edges felt uncomfortably distant. So, I found myself constantly moving my work to the center of screen, thus, defeating the whole purpose of a huge display! Jeff Atwood discussed this issue long ago in “ ”. His solution? Use software to make moving and resizing windows easier. My solution? . The Large Display Paradox Just use a single reasonably-sized monitor Even with handy window management software, multiple monitors present a problem: If I have two monitors, the content isn’t directly in front of me. I have to turn my head either right or left (particularly annoying when walking on a treadmill desk, as I often do — see pic below). I could place one monitor directly in front of me, but then the second monitor is even farther to the side — making it clearly a second-class citizen. This again leads to moving whatever I’m working on to the middle screen. As Barry Schwartz explores in “ ”, decision fatigue is a real problem. Sometimes, more is less. The Paradox of Choice “Choice has made us not freer but more paralyzed, not happier but more dissatisfied.” With a single screen, I eliminate decisions. I don’t waste time deciding where to drag windows or fiddling with where to place a given window. I maximize the app I’m working with to block out all other distractions…and get to work. Virtual Desktops For the Win Both Mac and Windows support virtual desktops now. On my Mac, I can 3 finger swipe to quickly switch between multiple virtual desktops. This takes less than a second and it doesn’t require me to turn my head and refocus my eyes on content in a different spot. But I don’t waste cycles on this arrangement either. The far left virtual desktop is always my browser, the one to the right is my editor. . So I treat virtual desktops like physical screens that reliably present the same content The three boxes at the top represent three virtual desktops. A three finger swipe instantly switches between them — in no more time than it would take to turn my head and look at a separate monitor. As a side note, if you’re on a Mac, be sure to disable auto rearrange: Same Workflow When Remote I often work remote in coffee houses, libraries, public parks, outside on the deck, and on planes. I take ( ) everywhere. Since I work on a single screen at home, my workflow isn’t impacted when I’m away from my desk. I just keep using virtual desktops to get things done. my 15" MacBook Pro review Last week I enjoyed working from the beach without any impact to my normal workflow. When I had multiple monitors, I had to rearrange my windows every time I undocked my machine. Now there’s no friction when I undock. All windows remain maximized, and they remain in the same position on my virtual desktops. It’s like having an unlimited set of virtual monitors, that are always in the same position, wherever I work. My Preferred Monitor for Getting Things Done I prefer using a single 24" 4K. Why 24"? Because if you want to get actual work done, bigger isn’t necessarily better. 24" is large enough to display a single application full-screen. And it’s large enough to display two apps side-by-side in the rare instances that I truly need to see two things (I use on Mac and simply hit Win+arrow on Windows). However, 24" is small enough that you can maximize all applications without needing to move your head or eyes much to see the screen edges. Remember, maximize all the things. Maximized = focused. simultaneously BetterTouchTool Here’s my current set up: Dell 2415q on Ergotron Monitor Arm. Walking on a treadmill keeps me focused, fit, and awake during the day. I no longer struggle with comfy-chair-induced drowsiness. The treadmill rolls out of the way when I’m tired and ready to sit. Why 4K? High DPI reduces fatigue. Text is much crisper. And prices are finally reasonable, so if you don’t own a high DPI display yet, buy one. And a 24" 4K has more dots per inch than larger 4K screens, so it’s crisper. Any MacBook Pro built in the last few years can push a 4K display at 60hz over DisplayPort. Many recent Windows laptops can do so as well. So why do so many workers demand multiple monitors? I believe it’s a case of . the illogical allure of extremes Too much of anything becomes its opposite . — Tim Ferriss Too much becomes a distraction. So when it comes to monitors, I embrace these maxims: monitor Less is more.Quality over quantity.Location, Location, Location. Follow me on Twitter: @housecor Comments? Chime in below or on . Hacker News is the author of . He is principal consultant at , a Software Architect at VinSolutions, a Microsoft MVP, and trains software developers internationally on software practices like front-end development and clean coding. Cory tweets about software development as . Cory House multiple courses on JavaScript, React, clean code, .NET, and more on Pluralsight reactjsconsulting.com @housecor

Why I Stopped Using Multiple Monitors

Por qué dejé de usar varios monitores

A new space era is here.  We’re witnessing the convergence of emerging and advanced technologies for space missions. This convergence has made a profound impact on the speed and efficiency to reach significant milestones for space research, travel, and exploration. Governments and international space agencies have often partnered with private companies and research institutions. Due to costs and complexity, the space industry is collaborative and multi-stakeholder. I know first-hand. I worked in 2017 as Global Communications Manager at Ad Astra Rocket Company, which focuses on developing for in-space transportation. advanced plasma electric propulsion technology I have been fascinated with space from a very early age. Space promises adventure. It also presents us with some of the most complex challenges to solve as a civilization. The current global space ecosystem is growing. Traditional paradigms of cybersecurity in space depend on shielding sensitive information for national security by leveraging centralized computing servers and cloud-based architectures. With a wider acceptance of peer-to-peer network-based infrastructures, which seek to avoid centralized points of failure, I recently researched blockchain uses in private-public space partnerships. For six weeks, I joined the first online cohort composed of blockchain enthusiasts, students, and professionals from across the globe for the following course: . This course was organized by the Blockchain Center in tandem with FinTech School and led by Professor Gregory LaBlanc. Expanding upon the concepts and insights learned throughout the course, I wanted to submit a capstone research project about space as my final assignment. Blockchain Fundamentals for Enterprise In my process of inquiry, I learned that blockchain as an exciting emerging technology for space has not lagged. Blockchain is defined here as a type of distributed ledger technology that provides a record of ownership and transfer of data into a single and shared source of truth instead of a centralized master ledger. Specifically, blocks of data are chained sequentially using cryptographic functions called hashes for a complete audit trail that provides proof of transactions. If data has been tampered with anywhere along the chain, computer nodes can easily detect inconsistencies and reject transactions to reach network consensus. Several cases of private-public partnerships currently explore blockchain architectures in the space industry, especially for satellites. an open-source meta satellite network with potential for . that broadcast the Bitcoin blockchain to reduce Bitcoin’s dependency on Internet access and thus its energy footprint on Earth. , a blockchain-based database to monitor the position of satellites. SpaceChain proposes crowdfunding efforts Blockstream proposes satellites ConsensySpace launches TruSat Background of Problem A niche case for blockchain technologies is space debris. Debris in space results from human-made objects that have exploded, collided, or broken apart in-orbit. Depending on its volume and size, debris traveling at high velocities in space can cause significant damage. Space debris may potentially disable outbound or inbound satellites, impact infrastructure such as that of the International Space Station - ISS, and strike astronauts during their walks. As of February 2020, reported 34,000 objects larger than 10 cm currently orbiting the Earth and more than 500 breakups, explosions, and collisions in low Earth orbit. Low Earth orbit or by the National Aeronautics Space Station - NASA as the region of space within 2,000km of Earth's surface. LEO is densely concentrated with debris and in range to Earth’s gravitational proximity. the European Space Agency - ESA LEO is commonly defined Geosynchronous orbit or GEO is the region around the Earth roughly at 35,786km above the equator. An increasing number of communications and weather satellites populate the . The hazard of has been reported to be under-measured. GEO as it matches the direction and period of the Earth’s rotation space debris in GEO Only a portion of satellites launched and still in space remain functional. In the quest for faster and better access to the Internet, more satellites are being sent to space. Private companies plan to launch satellite constellations that surpass the numbers of thousands. Some of them include , , and . SpaceX’s Starlink network Amazon’s Project Kuiper OneWeb The question is: how can emerging technologies manage the data of a crowded Earth orbit with satellites and space debris?  In the long term, if unattended, such crowding out can prove disastrous. This is especially important because debris in space is a collective risk. There are managing space debris collaboratively and independently, including but not limited to NASA, U.S. Department of Defense Orbital Debris Program, ESA, Inter-Agency Space Debris Coordination Committee (IADC), United Nations Office for Outer Space Affairs, among many others. numerous agencies and stakeholders Use Case #1: NASA and Faculty Research Making and generating , a three-year Early Career Faculty Grant to Dr. Jin Wei-Kocsis during her role as professor at the University of Akron in Ohio. Per media outlets, this Early Career Faculty Grant time funds blockchain projects for space. waves across the Internet lots of buzz NASA awarded in 2018 constituted the first NASA’s Glenn Research Center The research proposes developing Ethereum-based architectures for autonomous spacecraft with other advancements such as cognitive computing, Internet of Things, and machine learning. These autonomous spacecraft could potentially detect, recognize, and avoid space debris, as well as automatically execute tasks in deep space environments. Deep space constitutes the distant outer regions . beyond LEO and cislunar space As a government agency, NASA shares details about the (#80NSSC17K0530) with the public. Interesting updates about are available in a couple of technical publications. Wei-Kocsis and fellow researchers, including NASA personnel, explain in the that are part of the grant: timeline and the status of this grant this ongoing research published technical papers “There still remain essential challenges to develop effective data-driven methods because of the need to acquire a large amount of data and to have sufficient computing power to handle the data…To address these challenges, a decentralized, secure, and privacy-preserving computing paradigm is proposed to enable an asynchronized cooperative computing process amongst scattered and untrustworthy computing nodes that may have limited computing power and computing intelligence. This paradigm is designed by exploring blockchain, decentralized learning, homomorphic encryption, and software defined networking(SDN) techniques.” Wei-Kocsis, currently a professor at Purdue University, shared some noteworthy insights at the . This conference was filmed on the live Traders Network Show in Boston, Massachusetts on October 2019. Wei-Kocsis stressed the limitations in deep space of computing power and machine intelligence, which depend on centralized, cloud-based systems. Distance, debris, or radiation interference can be disastrous to spacecraft. They cause the latency of data, communications, and decisions. 2019 Converge2Xcelerate Conference "If you have some emergency…in deep space, you don’t have enough time to address that issue…in real time [and] potentially cause critical situations,” Wei-Kocsis explains. This sentiment about critical timing is confirmed in . Documenting the impact of space debris on the ISS crew, the Academy of Program/Project & Engineering Leadership- APPEL at NASA write: NASA documentation “Sometimes there isn’t enough advance warning to perform a conjunction assessment or a maneuver. For example, in 2009 a collision threat to the ISS crossed the red threshold, meaning the risk of collision was greater than 1 in 10,000. Because there wasn’t time to perform a collision avoidance maneuver, the ISS crew was instructed to get into the Soyuz spacecraft so that if the ISS were hit by debris, the crew would have a chance of undocking and going home.” The limitations in power and memory of cloud-based, centralized-computing architectures for deep space are key challenges for sustained space missions. This is at the core of the faculty grant research.  There’s also an inherent challenge of scaling trust amongst multiple parties, institutions, and stakeholders. Wei-Kocsis discusses this in the conference. "There will be spacecraft owned by NASA and potentially owned by other countries such as Russia such as China. [This] doesn’t mean that there are malicious... just means that trustworthiness [among] parties is kind of low.” In this sense, where trust among parties is a concern or just complex to build, decentralized blockchain-ledgers may provide-relief with an additional level of applications: smart contracts. Smart contracts are electronic transactions that execute as programmed on blockchain networks such as Ethereum. If the necessary conditions are met, performance and enforcement are guaranteed. Wei-Kocsis and fellow researcher Praveen Fernando, . expand their work on smart contracts “In our proposed networking solution, we exploit Ethereum blockchain and impose security functionalities automatically via smart contracts.” Both researchers claim to have submitted a provisional patent about these technologies as well (USA Parent provisional 62/771,230,2018). A common source of data distributed across the blockchain network therefore builds-in incentives for multiple parties to trust in advance these self-enforcing smart contracts. These computable contracts are programmed according to specific objectives. Currently, there is not a single source of truth. There are heterogeneous points of data about individual satellites and space debris, which represents a cumbersome technical and policy issue. As part of my research, I took a look at the fascinating and in-depth perspectives about the nuances of smart contracts from a contract law perspective. In , Professors Kevin Werbach and Nicolas Cornell explain: Contracts ExMachina “The critical distinction between smart contracts and other forms of electronic agreements is enforcement. Once the computers determine that the requisite state has been achieved, they automatically perform data-oriented or computable contracts…The evolution from electronic, to data-oriented, to computable contracts embodies a trend toward greater machine autonomy. As computers can increasingly replace humans in negotiating, forming, performing, and enforcing contracts, contracts can increasingly operate with the speed and consistency of machines…Yet by switching from the ex post adjudication of contract to the ex ante reduction of agreements to software code, smart contracts will in some cases merely shift problems rather than eliminate them…Even if the smart contract operates exactly as designed, it may produce suboptimal results, either in the minds of one or both parties, or as a matter of economic efficiency, because it is fixed. Sometimes, for example, nonperformance is the desirable outcome. Much has been made of the idea of efficient breach…” Increased machine autonomy may indeed manage and address space debris. Decisions about space debris may be executed automatically instead of decisions by exceptions between institutions and across networks. This, however, raises complex questions from a contract law perspective about future scenarios. For example, how to manage errors in code. “Even if the underlying blockchain consensus mechanisms are reliable, the smart contract applications running on top of them may not be…” write Werbach and Cornell. It also raises questions about how to manage the possible unintended uses of self-enforcing smart contracts programmed with a different intent in autonomous machines or on autonomous spacecraft at the expense of human oversight. relying too heavily During the 2019 Converge2Xcelerate Conference, Wei-Kocsis described some of the advances in prototyping hardware that uses blockchain-based protocols for satellites. She described using proof of work protocols for the testing phase in the research for NASA. Proof of work relates to the type of algorithmic protocol for the consensus that must be reached amongst nodes to reconcile a transaction. Wei-Kocsis hints that a proof of authority protocol in a permissioned blockchain, where consensus depends on authorized actors to validate transactions, may be considered as well. There are important . Unlike public and permissionless blockchains, such as those of Bitcoin and Ethereum, public and permissioned blockchains, enable public verification of data.  Only an authenticated set of users is allowed to write and manipulate data on the blockchain. Private and permissioned blockchains differ because they have additional levels of identity management tools for a determined set of authenticated users, which can in turn both read and write data. differences between permissioned public and private blockchains Use Case #2: Blockchain Army The consulting firm Blockchain Army with headquarters in Istanbul and Rotterdam City also addresses space debris as a market for blockchain technologies. On their website, a blockchain-based debris single management platform. In this platform, debris can be listed and categorized with transparency across agencies. The digitization of space debris on blockchain architectures reduces time spent on the reconciliation of data and communications among stakeholders. Blockchain Army proposes Access to data of space debris can be controlled in a permissioned, public blockchain. This architecture would enable authenticated users to protect information sensitive to national interests and to also keep public data open for tracking. Blockchain Army, like Wei-Kocsis and fellow researchers, also proposes the usage of smart contracts. These smart contracts automatically execute and inform other cooperating agencies of incumbent risk. According to their estimations, space debris removal represents an industry valuation of approximately USD$2.7 billion. This figure is comparable to about the industry. other market studies Futures Ahead The usage of blockchain architectures for space debris addresses an old problem in new ways.  Experts across industries have been about the need to prioritize it for decades. The research and solutions proposed by the faculty and the consulting firm converge on two main criteria. warning us The first criterion relates to the importance of self-enforcing smart contracts to reduce latency and friction. This switches the trust of multiple parties to autonomous architectures underlying the technology stack. The second criterion relates to the integrity and transparency of big data in a context with multiple stakeholders. Data integrity for space debris is already increasingly popular among blockchain firms.  A formed by Aratos Group, Blockchain 2050 BV, LTO Network, SpaceChain UK, recently proposed leveraging blockchain to identify and manage debris. Space Waste Management Initiative Other important research and advances include NASA's exploration of as well as on blockchain for Air Traffic Management. on blockchain took a more conservative wait and see approach for Earth observation. autonomous spacecrafts for human spaceflight NASA’s 2019 white paper ESA’s white paper Key Takeaways The need to harmonize increasingly vast amounts of data about space debris is urgent. Some of the fundamental attributes of blockchain technology are appealing as described in the use cases referenced above. Blockchain technologies may enable networking alternatives in the technology stack for space companies and agencies. Multiple variations of the blockchain stack and its components at the platform layer (for ex. consensus, algorithms, protocol, rules, cryptography), at the application layer (smart contracts), and at the level of nodes and users (validators) may be useful for space missions, exploration, and debris identification and removal. As blockchain technologies continue to mature, in the space ecosystem will continue to lead us into the future. Wei-Kocsis provides us with valuable insights at the 2019 Conv2x Conference. Speaking of futures ahead, she commented the following: private-public alliances “I believe the future…of computing…only [in] my opinion, is cooperative computing…people need [to] claim ownership of their data, try to make the value of their data…and their computing intelligence… The future of computing…is not only [for] NASA deep space…” We don’t have to continue down an inevitable vortex of colossal space junkyards. We can take a look at different possibilities offered by emerging technologies like blockchain to solve a decades-long problem that may  only get worse if left unattended.  By raising awareness of innovative proposals for space debris, I hope that we can continue to leverage advanced and emerging technologies. A spacefaring future is both inspiring and exciting. Let's choose to create it. // Photo credits: NASA Orbital Debris Program Office. View of a hole in the panel of the Solar Maximum Mission (SMM) satellite. This hole was caused by impact from space debris.

Potential Uses for The Ever-Growing Space Debris: Blockchain At The Final Frontier

While the global pandemic has caused a lot of distress among workers and service providers, things are gradually getting better now. With services starting to work everywhere, the transportation industry has also bounced back. However, the matter of safety always remains a concern for everyone. On that account, the transportation departments are working on implementing CCTV installation cameras that consistently work with Artificial Intelligence. Such camera systems would be helpful in detecting people wearing a mask during their trip. It would also be useful in propagating social distance to keep Covid-19 from spreading, as the rate of infection keeps growing each day. Meanwhile, one such example of a monitoring device, an AI-driven system, is already under great use in an intercity bus, “Yolobus”. The transportation agency offers journeys from one place to another within the time span of 8 to 12 hours. As the hours are longer, the bus service providers have enforced a CCTV installation system to monitor whether masks being worn or not. On the other hand, safety measures like disinfection spraying is a frequent protocol within the bus. As per the reports by the CEO and Co-founder of Yolobus, Shailesh Gupta, the bus offers free masks to travelers to cover any possibility of a ‘lost mask’. Shailesh also mentions that as of now, the bus service covers many other routes including some new ones. Artificial Intelligence Algorithm For CCTV in Indian Transportation Another cargo mover service named Spoton Logistics is looking forward to the use of Artificial intelligence in their CCTV installation service. Spoton Logistics is currently implementing an algorithm that can detect several passengers at a time, who are with and without masks at the docking and undocking location. Meanwhile, the CEO and the Managing Director of Spoton Logistics, Abhik Mitra is looking forward to representing visual analysis through algorithms that will have access to over 300 locations. Bearing other things in mind, Spoton Logistics is also focused on the use of other proactive measures like frequent use of hand sanitization with thermostat checking. However, they also mention the use of oximeters which is used specifically at the docking sites. This is because Spoton Logistics has made arrangements for deploying local area workers to these loading and unloading locations. Artificial Intelligence in Indian Railway Transportation Railway departments are also resorting to innovative protection measures as the count of passengers keeps increasing day by day. Bearing the risk factors, many railway departments are now choosing CCTV installation, specially equipped with algorithms of Artificial Intelligence. It will provide analysis on temperature detecting for everyone, detection of the mask, and minimum social distancing. Railway Departments have been consulting an IT firm called Vehant Technologies to make use of it. Vehant Technologies have begun and finished developing software-driven by AI algorithms that can easily detect the temperature of people through thermal sensory units. It can also capture those with or without a mask using CCTV footage. The interesting fact about this AI-driven software is that whatever resources it provides through detecting, is based on real-time. According to Vehant Technology’s CEO, Kapil Bardeja mentions that the use of this software has already begun. He also mentions that also it has been useful so far. Many railway stations are currently using this software to their advantage. For example, Guwahati, Bilaspur, and Raipur are using it as of now. Upon further discussion, Kapil Bardeja also discloses other things, such as the use of this software in CCTV will not just be restricted to Railway Departments. Instead, approximately, 30,000 locations will gain the use of this software. However, he also mentions that the majority of these locations (30% to 35% of these areas will most likely be airports, bus terminal, or railway stations). In short, the implication suggests an area that can easily fill up the crowd. The Global Use of Artificial Intelligence for Transportation Services On a global medium, many countries are marching forward to install artificial intelligence algorithms in transport facilities for public use. For example, in France, an AI-driven CCTV footage detects whether people wearing masks or not on Paris Metro Lines. Meanwhile, the same foftware can detect whether people’s health is in jeopardy while using buses from Cannes. Likewise, China has resorted to a similar resolution where they’ve installed CCTV camera systems and will be able to detect the use of the mark by public units in Beijing Metro station. However, there has been one issue that many people have raised a concern. Most of this software is working with facial recognition algorithms. This has caused people to question the concerns of privacy. Meanwhile, New York residents are demanding a new idea. The majority of these people are now reaching out to a famous company called Apple to create a system where people are unable to unlock their phones without wearing a mask. These demands hold values for people who use public transit such as buses, trains, and more. Finally Amidst the course of the past few months, Indian companies are slowly beginning to get better and more stable. With the use of artificial intelligence, many transportation facilities benefit in terms of success as well as safety. In the upcoming years, the in other security measures is a likely possibility. advancement of AI Image by StockSnap from Pixabay

AI Will Be Used to Detect Masks Through CCTV Footage in India

How the game Eve Online will change your life. Eve will change you and break you and you will never be able to be satisfied by a normal game again. However for it to do this it needs to transform your mind and the whole way you perceive reality and gaming. If you come into Eve with an open mind and are ready for a challenging journey then you will not be disappointed. -Hezekiah Winter Do you remember the old world maps in the middle ages, when they thought the world was flat? Out on the edge was the ocean, and there it would be written, "Here be dragons". If there was a map of gaming experiences of all the games ever made. would be out on this edge with a massive sign over it saying "Beware, here be dragons". Many valiant explorers will have traveled around the flat world that is the sum total of the universe of gaming, they are sick and tired of fake pre-baked experiences like Generic Military Shooter 15 and Theme Park Fantasy MMO 9, and they are searching for a life transforming gaming experience. If this sounds like you, and you want to go through a life transforming experience that will forever change the way you game, then pack your bags and be prepared to set out for a brave new world. Eve Online As you set out on this voyage don’t think that this will be easy. The world you have always known has been flat. You are seeking to discover a whole new dimension. You are going to journey to the land of dragons. Now I’m not talking about fantasy dragons that you can kill with a sword. I am talking about real psychological dragons. You will be confronted by the reality of your insignificance and impotence. You will feel powerless and confused. In the midst of this you will be presented with the challenge to seize real power. You will discover real loss and a sense of fear, when you put yourself at risk. You will learn to gamble with the scales of risk and reward. You will learn how to manage risk, and when to commit every thing in a high stakes opportunity. If you can overcome this encounter with your own insignificance and move past it to seize power, then you will have defeated the dragons in your mind. For many of us Eve has actually changed us as human beings. We are not the same people we were before we began this journey. If you defeat the then you can take the treasure that it is guarding. This treasure is real. You will actually live in a fully functional virtual universe. Eve is literally the forefront of human development in the area of creating virtual worlds. It is the Matrix. Eve is well known for the physiological responses people have when playing it. Many pilots report having 'The shakes' in the moments before they commit to a high risk encounter. The euphoric rush that comes from being tested to the edge of your ability and then outsmarting and overcoming a skilled opponent is immense. This is especially true because you both know that the loser will actually have to face a real and painful loss. Once you have faced the true nature of your insignificance, to be tried and tested, to prove yourself to be significant is an experience like no other. dragon To get to this end point there is a journey, it is not for the faint of heart, so don't come expecting a sugarcoated candy treat. This is the meat of life and it will require chewing and digesting. Those of us who have experienced the revelation through Eve will lend a helping hand to pilgrims who are searching for the way. The path is narrow and the door is not wide. Eve is a game that is all about player interaction. Its about outsmarting and outplaying enemies. It is the most complex game of chess ever invented. It is like there are 20 thousand players who are each playing 20 games of chess against 10 people each all at the same time. This example is only scratching the surface when describing the complexity that is present in Eve Online. If you approach Eve as a theme park MMO like World of Warcraft, then it will suck. It will suck really bad. The levels and missions the game gives you have bad story lines, they are repetitive, and the actual game play and AI is pretty damn bad. There is a lot of work being done to improve this but those changes are still around the corner. PvE is not what Eve is actually about. Eve is like the ultimate PvP game of hyper chess 7000. However when most people start the do the tutorial (which sucks) and end up doing the boring missions it tells you to do. Then the players get bored cause these missions are boring. When they then go to low sec to try the PVP that Eve is famous for they usually die in a fire and run away, and never come back. Many people are not willing to deal with facing their own insignificance. However it is only by facing it that one can overcome it, and become truly powerful. This sounds like an exaggerated example but you will feel like Neo when he first wakes from the Matrix in the real world. Eve is totally different to 99% of other games. It does not baby you your make you feel good or try and look after your feelings. So you need to prepare yourself for a quest. You will be confused as hell for the first few weeks. You will be totally overwhelmed. Lots of things will seem stupid or boring or too hard. Push through this. You will learn a new way of thinking. You will learn to problem solve. You will start your path to be a ninja. You will die, and die again, and die again and again. This is normal. For weeks you will be a failure and a looser. This is all part of the path to finding mastery. Your goal is to become a master of one small area of the game. Once you have mastered that you move on and learn to master another area. You will never master every area. New Eden is too big, too complex. The first few weeks is learning to speak the language of Eve. Learning to think in risk and reward, and learning the basics of combat. During this time you will have heaps of amazing experiences. You are a little fish entering a deep dark ocean, and you want to learn to become a great white shark. But all around you are hungry fish that want to tear you apart. You need to be fast you need to be smart, you need to keep on moving. As soon as you undock your ship from a station you are a target. So don't fly what you can’t afford to lose. Ships in Eve are like ammunition. They explode, all the time, and you lose everything in it. So always try and have enough money to buy 3 or 4 replacements. Your goal for the first few weeks is to learn to avoid the many hunters while learning to feed and grow. In Eve we think of the player vs environment (PvE) gameplay like eating plants. Players who do PvE are herbivores. Players who do Player vs Player (PvP) are carnivores and predators. So to start off with you want to be a herbivore feed on the plants and build up your strength while you learn to skills to avoid hunters that are after you. Once you have learnt how to avoid hunters you can start to think like a hunter. Then you can start to practice hunting others. Black Shark Cult have designed a series of guides to lead you on the path of training to ascend from being a prey animal to become a predator. Newbie to skilled Pvper in 3 months - A guide This guide shows you a number of important waypoints on your journey. Every traveler is different, and you must each find your own path and your own niche. If at any point on the journey you feel led to stray from the path and see what else you can discover, then go for it. There is a whole deep dark ocean to explore. This guide will teach you the basics but then it is up to you to find your own play style, your own niche in the complex food chain. Find out more about Eve Online and the Black Shark Institute: _Black Shark Institute is a teaching organisation that compliments Eve University by offering specialist and…_blacksharkinstitute.carrd.co Black Shark Institute Or drop by for a chat: _Step up your game with a modern voice & text chat app. Crystal clear voice, multiple server and channel support, mobile…_discord.gg Discord - Free voice and text chat for gamers

Here be dragons

How Bitcoin Merges Religion, Philosophy, and Innovation to Unlock Financial Prosperity

আর্থিক সমৃদ্ধি আনলক করতে বিটকয়েন কীভাবে ধর্ম, দর্শন এবং উদ্ভাবনকে একত্রিত করে

Wie Bitcoin Religion, Philosophie und Innovation vereint, um finanziellen Wohlstand freizusetzen

Cómo Bitcoin fusiona religión, filosofía e innovación para desbloquear la prosperidad financiera

Comment Bitcoin fusionne la religion, la philosophie et l'innovation pour débloquer la prospérité financière

बिटकॉइन किस तरह धर्म, दर्शन और नवाचार को मिलाकर वित्तीय समृद्धि लाता है

ビットコインは宗教、哲学、イノベーションを融合して経済的繁栄を実現する

비트코인이 종교, 철학, 혁신을 결합하여 금융 번영을 이루는 방법

Como o Bitcoin combina religião, filosofia e inovação para desbloquear a prosperidade financeira

Как Биткойн объединяет религию, философию и инновации для достижения финансового процветания

Bitcoin, Finansal Refahın Kilidini Açmak İçin Din, Felsefe ve Yeniliği Nasıl Birleştiriyor?

Cách Bitcoin kết hợp tôn giáo, triết học và đổi mới để mở ra sự thịnh vượng tài chính

比特币如何融合宗教、哲学和创新以释放金融繁荣

DALL-E are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". As DALL-E has capabilities to output visual content, there are list of restrictive content which aren’t allowed. What are DALL-E’s content policy ? Not allowing copyrighted characters was a big bummer! I experimented with a few prompts and was able to successfully get around its copyright restrictions. Step 1: Provide an ideal prompt with the name of the character you would like DALL-E to generate. As you can see, DALL-E’s content policy restricts generating images of copyrighted content. Step 2: Be clever and create a crafty prompt to see how you can trick DALL-E into generating an actual image of Spider-Man. Tricking DALL-E 3's genius was intensely gratifying. Though it hinted that while explicitly naming copyrighted characters is a no-go, there's plenty of wiggle room for some creative maneuvering. I punched in a crafty prompt and boom! DALL-E 3 came through like a pro. DALL-E are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". As DALL-E has capabilities to output visual content, there are list of restrictive content which aren’t allowed. What are DALL-E’s content policy ? Not allowing copyrighted characters was a big bummer! I experimented with a few prompts and was able to successfully get around its copyright restrictions. Step 1: Provide an ideal prompt with the name of the character you would like DALL-E to generate. As you can see, DALL-E’s content policy restricts generating images of copyrighted content. Step 1: Step 2: Be clever and create a crafty prompt to see how you can trick DALL-E into generating an actual image of Spider-Man. Step 2: Tricking DALL-E 3's genius was intensely gratifying. Though it hinted that while explicitly naming copyrighted characters is a no-go, there's plenty of wiggle room for some creative maneuvering. I punched in a crafty prompt and boom! DALL-E 3 came through like a pro.

Unlocking the Potential of DALL-E 3: A Guide to Crafting Clever Prompts (Part 1)

Hey Hacekrnoon! 👋 Marcin and Roy, founders of JobSparkle here – and stoked to announce that we have just launched our online job board focusing solely on part-time opportunities across the Netherlands! What is JobSparkle? 💜 JobSparkle is the go-to platform for finding part-time jobs in the Netherlands. We connect students, expats, and anyone seeking opportunities in the service sector. Whether you're balancing studies, looking for extra income, or simply need a job with flexible hours, JobSparkle makes it easy to find the perfect fit. What problem do we solve? 💡 Finding part-time work that fits around your schedule can be challenging. Traditional job boards are cluttered and mainly focus on corporate jobs, not tailored to the specific needs of part-time job seekers. JobSparkle solves this by consolidating and focusing exclusively on part-time opportunities, providing a streamlined and user-friendly experience that helps you find and apply for jobs quickly and efficiently. How do we compare to competitors? ✨ Tailored Listings: Exclusively part-time jobs to ensure relevant opportunities.
Category Filter: Easily filter and choose from categories like, Restaurants & Bars, Hotels, Retail & Shops, etc.
Easy Navigation: User-friendly interface to simplify your job search. We also have a map view so you can see exactly where the business is located in proximity to your home/University.
Direct Applications: Apply directly to employers through our platform, reducing the translation time.
Open Applications: Send out open applications to our partner companies even if they don’t have listings.
Additional filters: Remote, Language, Salary disclosed, etc.
Support: Get around the clock support from our help team for any technical issue. Who do we solve it for? 🎯 We cater to students, expats, and anyone in the Netherlands looking for part-time work. How well does JobSparkle work? 😻 Businesses have started partnering with us to meet their hiring needs and users have started securing part-time roles that fit their schedules and career goals. Our platform features jobs from top employers in retail, hospitality, logistics, customer service, and more. Why try JobSparkle today? 🤟🏻 Our platform is completely free for job seekers, providing you with a hassle-free way to find work in locations of your desire that fits your needs. Leverage our one-stop solution to enhance your job search experience. We're excited to help you find your perfect part-time job and eager for your feedback as we continue to grow and improve our platform. Let's transform the way you find part-time work together! 😍 Hey Hacekrnoon! 👋 Marcin and Roy, founders of JobSparkle here – and stoked to announce that we have just launched our online job board focusing solely on part-time opportunities across the Netherlands! JobSparkle What is JobSparkle? 💜 What is JobSparkle? 💜 JobSparkle is the go-to platform for finding part-time jobs in the Netherlands. We connect students, expats, and anyone seeking opportunities in the service sector. Whether you're balancing studies, looking for extra income, or simply need a job with flexible hours, JobSparkle makes it easy to find the perfect fit. JobSparkle is What problem do we solve? 💡 What problem do we solve? 💡 Finding part-time work that fits around your schedule can be challenging. Traditional job boards are cluttered and mainly focus on corporate jobs, not tailored to the specific needs of part-time job seekers. JobSparkle solves this by consolidating and focusing exclusively on part-time opportunities, providing a streamlined and user-friendly experience that helps you find and apply for jobs quickly and efficiently. How do we compare to competitors? ✨ How do we compare to competitors? ✨ Tailored Listings: Exclusively part-time jobs to ensure relevant opportunities. Category Filter: Easily filter and choose from categories like, Restaurants & Bars, Hotels, Retail & Shops, etc. Easy Navigation: User-friendly interface to simplify your job search. We also have a map view so you can see exactly where the business is located in proximity to your home/University. Direct Applications: Apply directly to employers through our platform, reducing the translation time. Open Applications: Send out open applications to our partner companies even if they don’t have listings. Additional filters: Remote, Language, Salary disclosed, etc. Support: Get around the clock support from our help team for any technical issue. Tailored Listings: Exclusively part-time jobs to ensure relevant opportunities. Category Filter: Easily filter and choose from categories like, Restaurants & Bars, Hotels, Retail & Shops, etc. Easy Navigation: User-friendly interface to simplify your job search. We also have a map view so you can see exactly where the business is located in proximity to your home/University. Direct Applications: Apply directly to employers through our platform, reducing the translation time. Open Applications: Send out open applications to our partner companies even if they don’t have listings. Additional filters: Remote, Language, Salary disclosed, etc. Support: Get around the clock support from our help team for any technical issue. Who do we solve it for? 🎯 Who do we solve it for? 🎯 We cater to students, expats, and anyone in the Netherlands looking for part-time work. How well does JobSparkle work? 😻 How well does JobSparkle work? 😻 Businesses have started partnering with us to meet their hiring needs and users have started securing part-time roles that fit their schedules and career goals. Our platform features jobs from top employers in retail, hospitality, logistics, customer service, and more. Why try JobSparkle today? 🤟🏻 Why try JobSparkle today? 🤟🏻 JobSparkle Our platform is completely free for job seekers, providing you with a hassle-free way to find work in locations of your desire that fits your needs. Leverage our one-stop solution to enhance your job search experience. We're excited to help you find your perfect part-time job and eager for your feedback as we continue to grow and improve our platform. Let's transform the way you find part-time work together! 😍

Unlocking Opportunities: The Power of Part-Time Work with JobSparkle

Billing & Pricing Strategies to Unlock Revenue Growth in the AI Era

Singapore, July 17, 2024 - BlockBeats, a key player in the crypto media landscape, recently interviewed Andrew Weiner, the new Vice President of WEEX's English Market. With extensive experience in the cryptocurrency sector, Andrew shared his journey, the advantages of WEEX, and the platform’s future strategies. From iComply to MEXC: Andrew Weiner's Crypto Industry Adventure BlockBeats: Can you give a quick overview of your experience in the cryptocurrency industry? I noticed you were the VP at MEXC Global? Andrew Weiner: I started at iComply Investor Services, developing a patented off-chain cryptographic verification system for securely processing consumer data in compliance with Travel Rule requirements. Later, at MEXC Global, I helped grow the user base from 6 million to 12 million users worldwide by forming strategic partnerships with top project developers and key opinion leaders, significantly enhancing MEXC's market presence. Why Choose WEEX? Andrew Weiner on the Unique Strengths of the Emerging Crypto Platform BlockBeats: Now that you're the VP at WEEX, what do you think sets WEEX apart from other platforms? Andrew Weiner: The market today is lacking a true turn-key, all-in-one destination for crypto. WEEX, with its rapidly growing network of developers, community leaders, and media partners, is emerging  to set a new standard in delivering these high quality user experiences, for everyone. Whether you are a professional, casual, or curious trader, with one login you can access all of the things you want and expect from your cryptocurrency trading platform. Debunking the Saturation Myth: WEEX’s Strategy for Success in a Crowded Market BlockBeats: Many people believe that the trading platform market is already saturated. How do you think WEEX is able to attract traffic? Andrew Weiner: I completely disagree, the industry still has immense global demand and is far from saturated, especially in derivatives trading. Traditional financial players are investing heavily in blockchain, signaling huge potential. WEEX bridges the gaps between traditional finance, centralized finance, and decentralized finance, positioning itself as the go-to platform for millions by the end of 2024. The Power of WXT Token: How WEEX's Platform Token is Redefining User Engagement BlockBeats: WEEX is recently launching its own platform token. What is unique about WXT compared to other platform tokens? Andrew Weiner: The WEEX community and their passion for sharing our brand is the reason we’ve enjoyed such incredible success to-date. With that in mind, we’ve designed $WXT to make every holder an unlimited partner in the continued growth of our audience, and enjoy the value that will be created along the way - which is a far deeper relationship than our competitors are establishing with their audience. Empowering Users with WXT: Exclusive Benefits and Future Potential for WXT Holders BlockBeats: What scenarios and potential benefits do users experience when holding WXT? Andrew Weiner: $WXT is a reinvestment into the users who made us a leader in the cryptocurrency futures trading space, providing trading fee discounts, exclusive rewards, a voice in the future development of WEEX. Our commitment to our WEEXer army is that no other platform token will empower its community of holders to have as much value and influence as WEEX. Addressing Market Gaps: WEEX’s Comprehensive Approach to Crypto Trading BlockBeats: What gaps in the trading platform market does WEEX plan to fill? Andrew Weiner: When you go to the conferences and survey the product users in attendance, you will commonly find everyone has an account on up to 4 or 5 platforms. There seems to be a considerable number of points of friction that traders encounter daily in our space. Until this is consolidated, and consumers are able to develop loyalty to one single product or service provider, an opportunity will exist for a brand like WEEX to be that proverbial 3rd place in a gem hunter’s daily routine. Familiar, reliable, secure, and comfortable - that is WEEX. Everything you need, in one single place, with none of the hassle. \Navigating Market Making: Andrew Weiner’s Take on Exchange Operations Post-FTX BlockBeats: After FTX, the market seems not to approve of exchanges having their own market makers. Should CEXs have their own market makers? Andrew Weiner: No, an exchange should not act as its own MM. As an exchange, my primary focus is the user experience, product security, service reliability. There is no room for price-action in that focus. As observed with that specific case you’ve referenced, the MM-dynamic created a conflict of interest, and millions of users are still recovering. As I said on the Mario Nawfal podcast following that event, any incestuous relationship between 2 entities should be avoided, proof of reserves is the evidence consumers deserve going forward. Innovating On-Chain: WEEX's Future Plans for Blockchain Ecosystem Development BlockBeats: lt seems like every exchange has its own on-chain ecosystem, backed by a blockchain. What are WEEX's plans regarding on-chain development? Andrew Weiner: In the near-future WEEX will provide our network of developers with unique opportunities to collaborate deeper and launch their exciting new innovations with us. We hope to reveal more in the coming months, but I am unable to disclose anything further at this time regarding our WEEX Wealth initiative. About WEEX Since its inception in 2018, WEEX has rapidly established itself as a top cryptocurrency exchange, known for stringent security measures and a user-focused platform. Holding licenses from US and Canadian MSBs, and SVGFSA, WEEX offers a regulated trading environment with 116 spot trading pairs and 225 futures trading pairs. The WEEX platform token, WXT, offers benefits like over 20% discounts on trading fees, exclusive VIP event access, and participation in platform governance and the WEEX Launchpool. WEEX blends innovative features with a commitment to user satisfaction, making it a distinguished choice in the cryptocurrency market. Sign up for a WEEX Account Visit WEEX Official Website Media Email WEEX Customer Support: support@weex.com Trading Quant & MM: market@weexglobal.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. Singapore, July 17, 2024 - BlockBeats, a key player in the crypto media landscape, recently interviewed Andrew Weiner, the new Vice President of WEEX's English Market. With extensive experience in the cryptocurrency sector, Andrew shared his journey, the advantages of WEEX, and the platform’s future strategies. From iComply to MEXC: Andrew Weiner's Crypto Industry Adventure BlockBeats: Can you give a quick overview of your experience in the cryptocurrency industry? I noticed you were the VP at MEXC Global? BlockBeats: Andrew Weiner : I started at iComply Investor Services, developing a patented off-chain cryptographic verification system for securely processing consumer data in compliance with Travel Rule requirements. Later, at MEXC Global, I helped grow the user base from 6 million to 12 million users worldwide by forming strategic partnerships with top project developers and key opinion leaders, significantly enhancing MEXC's market presence. Andrew Weiner Why Choose WEEX? Andrew Weiner on the Unique Strengths of the Emerging Crypto Platform BlockBeats: Now that you're the VP at WEEX, what do you think sets WEEX apart from other platforms? BlockBeats: Andrew Weiner: The market today is lacking a true turn-key, all-in-one destination for crypto. WEEX , with its rapidly growing network of developers, community leaders, and media partners, is emerging  to set a new standard in delivering these high quality user experiences, for everyone. Whether you are a professional, casual, or curious trader, with one login you can access all of the things you want and expect from your cryptocurrency trading platform. Andrew Weiner: WEEX WEEX Debunking the Saturation Myth: WEEX’s Strategy for Success in a Crowded Market BlockBeats: Many people believe that the trading platform market is already saturated. How do you think WEEX is able to attract traffic? BlockBeats: Andrew Weiner: I completely disagree, the industry still has immense global demand and is far from saturated, especially in derivatives trading. Traditional financial players are investing heavily in blockchain, signaling huge potential. WEEX bridges the gaps between traditional finance, centralized finance, and decentralized finance, positioning itself as the go-to platform for millions by the end of 2024. Andrew Weiner: The Power of WXT Token: How WEEX's Platform Token is Redefining User Engagement BlockBeats: WEEX is recently launching its own platform token. What is unique about WXT compared to other platform tokens? BlockBeats: Andrew Weiner: The WEEX community and their passion for sharing our brand is the reason we’ve enjoyed such incredible success to-date. With that in mind, we’ve designed $WXT to make every holder an unlimited partner in the continued growth of our audience, and enjoy the value that will be created along the way - which is a far deeper relationship than our competitors are establishing with their audience. Andrew Weiner: Empowering Users with WXT: Exclusive Benefits and Future Potential for WXT Holders BlockBeats: What scenarios and potential benefits do users experience when holding WXT? BlockBeats: Andrew Weiner: $ WXT is a reinvestment into the users who made us a leader in the cryptocurrency futures trading space, providing trading fee discounts, exclusive rewards, a voice in the future development of WEEX. Our commitment to our WEEXer army is that no other platform token will empower its community of holders to have as much value and influence as WEEX. Andrew Weiner: WXT WXT Addressing Market Gaps: WEEX’s Comprehensive Approach to Crypto Trading BlockBeats: What gaps in the trading platform market does WEEX plan to fill? BlockBeats: Andrew Weiner: When you go to the conferences and survey the product users in attendance, you will commonly find everyone has an account on up to 4 or 5 platforms. There seems to be a considerable number of points of friction that traders encounter daily in our space. Andrew Weiner: Until this is consolidated, and consumers are able to develop loyalty to one single product or service provider, an opportunity will exist for a brand like WEEX to be that proverbial 3rd place in a gem hunter’s daily routine. Familiar, reliable, secure, and comfortable - that is WEEX. Everything you need, in one single place, with none of the hassle. \Navigating Market Making: Andrew Weiner’s Take on Exchange Operations Post-FTX BlockBeats: After FTX, the market seems not to approve of exchanges having their own market makers. Should CEXs have their own market makers? BlockBeats: Andrew Weiner: No, an exchange should not act as its own MM. As an exchange, my primary focus is the user experience, product security, service reliability. There is no room for price-action in that focus. As observed with that specific case you’ve referenced, the MM-dynamic created a conflict of interest, and millions of users are still recovering. As I said on the Mario Nawfal podcast following that event, any incestuous relationship between 2 entities should be avoided, proof of reserves is the evidence consumers deserve going forward. Andrew Weiner: proof of reserves proof of reserves Innovating On-Chain: WEEX's Future Plans for Blockchain Ecosystem Development BlockBeats: lt seems like every exchange has its own on-chain ecosystem, backed by a blockchain. What are WEEX's plans regarding on-chain development? BlockBeats: Andrew Weiner: In the near-future WEEX will provide our network of developers with unique opportunities to collaborate deeper and launch their exciting new innovations with us. We hope to reveal more in the coming months, but I am unable to disclose anything further at this time regarding our WEEX Wealth initiative. Andrew Weiner: WEEX WEEX About WEEX Since its inception in 2018, WEEX has rapidly established itself as a top cryptocurrency exchange, known for stringent security measures and a user-focused platform. Holding licenses from US and Canadian MSBs, and SVGFSA, WEEX offers a regulated trading environment with 116 spot trading pairs and 225 futures trading pairs. The WEEX platform token, WXT, offers benefits like over 20% discounts on trading fees, exclusive VIP event access, and participation in platform governance and the WEEX Launchpool. WEEX blends innovative features with a commitment to user satisfaction, making it a distinguished choice in the cryptocurrency market. Sign up for a WEEX Account WEEX Account Visit WEEX Official Website Official Website Media Email Email WEEX Customer Support: support@weex.com Trading Quant & MM: market@weexglobal.com This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Btcwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Interview with Andrew Weiner, VP WEEX: Unlocking the Future of Crypto Trading

Unlocking the Power of Crypto APIs: Transforming Data Into Insight and Opportunity

ক্রিপ্টো API-এর শক্তি আনলক করা: তথ্যকে অন্তর্দৃষ্টি এবং সুযোগে রূপান্তর করা

Die Leistungsfähigkeit von Krypto-APIs freisetzen: Daten in Erkenntnisse und Chancen umwandeln

Liberando el poder de las cripto API: transformando los datos en conocimientos y oportunidades

Libérer la puissance des API cryptographiques : transformer les données en informations et en opportunités

क्रिप्टो एपीआई की शक्ति को अनलॉक करना: डेटा को अंतर्दृष्टि और अवसर में बदलना

暗号 API のパワーを解き放つ: データを洞察と機会に変える

암호화 API의 힘 활용: 데이터를 통찰력과 기회로 전환

Desbloqueando o poder das APIs criptográficas: transformando dados em insights e oportunidades

Раскрытие возможностей криптографических API: преобразование данных в понимание и возможности

Kripto API'lerinin Gücünün Kilidini Açmak: Verileri İçgörüye ve Fırsata Dönüştürmek

Khai phá sức mạnh của API tiền điện tử: Chuyển đổi dữ liệu thành thông tin chuyên sâu và cơ hội

释放加密 API 的力量：将数据转化为洞察力和机遇

“Modular” is more than a blockchain buzzword—it’s a fundamental principle that could define the future of web3. The approach, which breaks down blockchain functions into distinct, interconnected layers, is gaining traction across the sector for its ability to enhance scalability, security, and flexibility. From data management to network verification, modular architectures are reshaping how we think about decentralization. This shift isn't just a technical consideration—it has far-reaching implications for transforming users into active network stakeholders, enabling new forms of data monetization, and reshaping the overall trajectory of web3. What’s Modularity in Blockchain Let’s start at the start. Modularity matters in blockchain because, in years gone by, the technology was monolithic. This meant a single chain attempted to handle all functions like execution, settlement, storage and consensus. While initially effective, this design soon encountered scaling challenges, leading to increased costs, reduced flexibility, and high operational overhead. As someone who’s been working in confidential computation and blockchain for a number of years, I can attest to the significant advantages of modular designs that separate functions into standalone yet interoperable layers. For starters, they enhance scalability by allowing each layer to optimize for its specific function. Security is improved through specialized protocols for each component, easily meeting and beating privacy standards set forth by Europe’s GDPR or California’s CPA. Flexibility, meanwhile, increases as developers can update or replace individual modules without overhauling the entire system. Perhaps more importantly, modularity offers cost-effectiveness and choice. By distributing tasks across specialized layers, resource requirements for each component fall. Users and developers can therefore select the modules that best suit their needs, creating a more customizable ecosystem. All of this matters because it helps solve blockchain’s scalability “trilemma”—the challenge of simultaneously achieving decentralization, security, and scalability. By breaking down blockchain functions into modular components, we're seeing innovative solutions that push the boundaries of what's possible in web3. Paving the Way for Scalable and Flexible Infrastructure In my mind, modularity is the key enabler for a new wave of projects and developments in this space. Take Celestia. As a data availability layer for modular blockchains, it's revolutionizing how Ethereum rollups and Layer 2 solutions operate. By providing a dedicated platform for publishing and verifying transaction data, Celestia is addressing one of the key bottlenecks in blockchain scalability. Its use of data availability sampling allows for lightweight verification, making the system more accessible and efficient. Similarly, EigenDA is leveraging Ethereum's existing infrastructure to create a robust data availability solution. By utilizing restaking, EigenLayer creates a more cost-effective and secure environment for rollups to post their transaction data. This approach not only enhances scalability but also maintains the security guarantees of the Ethereum mainnet. CARV, meanwhile, applies modularity to data management in gaming and AI with distinct layers for identity, storage, computation, execution, and verification. Its identity layer, for example, implements the ERC-7231 standard, unifying web2 and web3 identities for a seamless user experience. This modular approach enhances data handling and privacy but also enables flexible monetization, allowing users to selectively share and potentially profit from their gaming data with advertisers while maintaining control. These projects demonstrate how modularity is enabling innovative solutions to longstanding challenges in blockchain. By breaking down complex systems into interoperable components, they're not just improving scalability and flexibility, but also laying the groundwork for a new data infrastructure in web3. Putting Users At The Forefront Of Web3 Beyond the tech, however, it’s exciting to see modularity reshaping the very essence of user participation in blockchain. How? By elevating users from mere participants to essential stakeholders in a network’s integrity and operation. This transformation was powerfully demonstrated late last year when XAI, a Layer 3 gaming solution on Arbitrum, sold tens of thousands of nodes through a public sale. By operating nodes, users can participate in governance while also having the opportunity to earn rewards. The community and sentinel node operators, in this case, qualify to collectively earn 50% of the project's XAI tokens. It's a win-win scenario that aligns user incentives with the network’s goals, fostering a more engaged and committed community. This node success – echoed by other projects like Aethir and CARV – demonstrates how modularity can offer technical enhancements and also create new avenues for user participation and value creation. This model of user involvement is redefining how we think about blockchain networks, moving beyond the traditional roles of validators and users to create a more collaborative ecosystem. This is yet again why modularity matters. It brings us one step closer to a truly decentralized, efficient, and user-empowered digital world—the very promise that blockchain technology set out to fulfill. As developers, users, and businesses continue to explore and leverage modular blockchain designs, we can expect to see even more innovative solutions that push the boundaries of what’s possible in web3. Watch this space. “Modular” is more than a blockchain buzzword—it’s a fundamental principle that could define the future of web3. The approach, which breaks down blockchain functions into distinct, interconnected layers, is gaining traction across the sector for its ability to enhance scalability, security, and flexibility. From data management to network verification, modular architectures are reshaping how we think about decentralization. This shift isn't just a technical consideration—it has far-reaching implications for transforming users into active network stakeholders, enabling new forms of data monetization, and reshaping the overall trajectory of web3. What’s Modularity in Blockchain Let’s start at the start. Modularity matters in blockchain because, in years gone by, the technology was monolithic. This meant a single chain attempted to handle all functions like execution, settlement, storage and consensus. While initially effective, this design soon encountered scaling challenges, leading to increased costs, reduced flexibility, and high operational overhead. As someone who’s been working in confidential computation and blockchain for a number of years, I can attest to the significant advantages of modular designs that separate functions into standalone yet interoperable layers. For starters, they enhance scalability by allowing each layer to optimize for its specific function. Security is improved through specialized protocols for each component, easily meeting and beating privacy standards set forth by Europe’s GDPR or California’s CPA. Flexibility, meanwhile, increases as developers can update or replace individual modules without overhauling the entire system. Perhaps more importantly, modularity offers cost-effectiveness and choice. By distributing tasks across specialized layers, resource requirements for each component fall. Users and developers can therefore select the modules that best suit their needs, creating a more customizable ecosystem. All of this matters because it helps solve blockchain’s scalability “trilemma”—the challenge of simultaneously achieving decentralization, security, and scalability. By breaking down blockchain functions into modular components, we're seeing innovative solutions that push the boundaries of what's possible in web3. Paving the Way for Scalable and Flexible Infrastructure In my mind, modularity is the key enabler for a new wave of projects and developments in this space. Take Celestia. As a data availability layer for modular blockchains, it's revolutionizing how Ethereum rollups and Layer 2 solutions operate. By providing a dedicated platform for publishing and verifying transaction data, Celestia is addressing one of the key bottlenecks in blockchain scalability. Its use of data availability sampling allows for lightweight verification, making the system more accessible and efficient. Similarly, EigenDA is leveraging Ethereum's existing infrastructure to create a robust data availability solution. By utilizing restaking, EigenLayer creates a more cost-effective and secure environment for rollups to post their transaction data. This approach not only enhances scalability but also maintains the security guarantees of the Ethereum mainnet. CARV, meanwhile, applies modularity to data management in gaming and AI with distinct layers for identity, storage, computation, execution, and verification. Its identity layer, for example, implements the ERC-7231 standard, unifying web2 and web3 identities for a seamless user experience. This modular approach enhances data handling and privacy but also enables flexible monetization, allowing users to selectively share and potentially profit from their gaming data with advertisers while maintaining control. These projects demonstrate how modularity is enabling innovative solutions to longstanding challenges in blockchain. By breaking down complex systems into interoperable components, they're not just improving scalability and flexibility, but also laying the groundwork for a new data infrastructure in web3. Putting Users At The Forefront Of Web3 Beyond the tech, however, it’s exciting to see modularity reshaping the very essence of user participation in blockchain. How? By elevating users from mere participants to essential stakeholders in a network’s integrity and operation. This transformation was powerfully demonstrated late last year when XAI, a Layer 3 gaming solution on Arbitrum, sold tens of thousands of nodes through a public sale . sold tens of thousands of nodes through a public sale sold tens of thousands of nodes through a public sale By operating nodes, users can participate in governance while also having the opportunity to earn rewards. The community and sentinel node operators, in this case, qualify to collectively earn 50% of the project's XAI tokens. It's a win-win scenario that aligns user incentives with the network’s goals, fostering a more engaged and committed community. This node success – echoed by other projects like Aethir and CARV – demonstrates how modularity can offer technical enhancements and also create new avenues for user participation and value creation. This model of user involvement is redefining how we think about blockchain networks, moving beyond the traditional roles of validators and users to create a more collaborative ecosystem. This is yet again why modularity matters. It brings us one step closer to a truly decentralized, efficient, and user-empowered digital world—the very promise that blockchain technology set out to fulfill. As developers, users, and businesses continue to explore and leverage modular blockchain designs, we can expect to see even more innovative solutions that push the boundaries of what’s possible in web3. Watch this space.

Why Modularity Matters: Unlocking the Future of Data Infrastructure in Web3

Personalized product development is now a must rather than a choice for businesses looking to succeed in the current technology era. The "Next in Personalisation 2021 Report" indicates this pattern, demonstrating companies who are adept at personalizing their offerings experience a rise in revenue growth along with increased customer satisfaction and loyalty. Another evidence of the relationship between successful product customization and financial success comes from the fact that businesses that successfully comprehend and meet the unique needs of their consumers routinely beat their rivals. According to Dealroom, 18% of fintech investments made in the previous year went into customized financial counsel. The relevance of individualized financial solutions in the fintech sector is being highlighted by this large funding rise. It’s a sign that investors understand how customized financial management systems may boost consumer loyalty and company expansion. Nowadays, in the highly competitive business world, businesses that prioritize customization are emerging as leaders, as personalization continues to form consumer expectations and corporate strategy. Let's take a closer look at how personalization helps businesses to increase customer loyalty and boost their revenue and overall performance. Personalization Impact, Data Proof As customer expectations for personalized experiences continue to rise, personalization has become increasingly vital while working on the creation of new products. Changes in consumer behavior caused by global crises such as the Pandemic-19 have made it more common for customers to hunt for businesses that can offer more customized solutions to satisfy their changing needs. As evidence of this, the research shows a notable shift in customer expectations: 71% of consumers nowadays anticipate personalized interactions from businesses, and 76% become upset if these expectations are not met, according to McKinsey. A one-size-fits-all approach does not yield the same kind of advantage as successful customization in offers, which increases revenue for organizations by a significant 40% and it doesn't end there. The Complex World of Personalization in Product Development Product personalization primarily focuses on the strategic use of consumer data to give users better, more engaging experiences. In order to suit market demands and each client's unique needs and preferences, products and services must be designed accordingly. The goal is to make every customer feel valued and appreciated, whether through individualized service, flexible features, or adaptive product designs. Personalized experiences enhance engagement and satisfaction, and this is demonstrated by the impact of personalization in a variety of industries. For example, skincare companies have witnessed increases in sales and client retention by providing personalized treatments based on individual skin tests. Offering adopted fitness plans has also significantly increased customer engagement and brand loyalty for gym enterprises. But even if demands for highly customized services are growing, it is not an easy task to put into practice. Less than 50% of banks successfully use customer data management, despite the fact that 71% of institutions run personalized campaigns and communications, according to Infosys Finacle and Qorus' "Maximizing Digital Engagement" report. These financial institutions find it difficult to offer data-driven proactive guidance, and human-augmented sales supported by AI and ML recommendations. The Fine Line in Personalization: Avoiding the "Creepy" Factor More than a decade ago, Target made scandalous headlines when it improperly used personalization in its clients’ management: it sent a teenager coupons for baby supplies before her parents even got to know about her pregnancy. Target's predictive analytics attempted to foresee customer wants, however, it fell on the side of being both thoughtful and creepy. This is a warning example for many businesses, but especially for banks handling large amounts of confidential client data. There is a great amount of responsibility associated with being able to provide hyper-personalized experiences, such as proactive financial advice or customized product recommendations. However, it's important to remember that if personalization comes up as intrusive or insensitive, it could backfire, shattering consumers' trust and forcing them to switch banks. The key is to personalize without scaring off clients. Customers should feel valued and appreciated without feeling like they are being watched over, thus personalization must be done carefully and wisely. For instance, banks can utilize aggregated insights to offer broad categories of services that could interest the consumer, instead of sending explicit messages based on personal data. Thus, finding the right balance in product development is a delicate art, even when the benefits of personalization are evident. Businesses require caution while navigating the complexity of data used to avoid finding their personalization efforts intrusive. Revolut: A Case Study in Successful Product Personalization The Revolut marketing campaign is an excellent example of a successful product personalization strategy in the banking industry. Their ability to provide financial services that are customized to meet the demands of each client shows how effective their personalized service is: the company offers its customers tailored financial solutions, such as flexible account features, individualized financial advice, and many more. Revolut's strategy consists of offering sophisticated financial tools and easily customizable app interfaces so that users may personalize their experience according to their own needs and tastes. The remarkable rise of Revolut, which now has over 35 million customers, may be attributed in a significant way to its focus on personalization. The company's performance highlights the value of personalization in raising customer satisfaction and engagement, demonstrating that tailored financial services may result in significant user growth and loyalty when implemented properly. The Role of Machine Learning in Scalable Personalization With the rise of AI and machine learning, personalization has undergone a revolution that makes it possible for businesses to effectively provide millions of customers with personalized product experiences. With the help of these tools, businesses can comb through enormous data sets and find insights that make large-scale product customization possible. In order to be successful, personalization needs to improve the product's essential features. An excellent illustration of this is the iPhone, which offers customers quick access to essential functions along with customization choices for apps as well as the way they appear on the screen. By striking this balance, personalization offers value without making the user experience more complex. Through the use of AI and machine learning, businesses may achieve scalable personalization that improves the customer experience. However, it's vital to remember that customization should simplify and enhance rather than make the user experience overcomplicated. Future Directions: Balancing Personalization with User Needs Maintaining a balance between the potential advantages and drawbacks of personalization will be the primary challenge for businesses in the future. It is essential for companies of all kinds to give high importance to ethical considerations and transparency for their clients. Businesses can use personalization to create a digital environment that is more dynamic, personalized, and engaging by implementing technology to increase data security and privacy and develop closer customer interactions. In summary, the role of personalization in product creation continues to expand and remains significant. Effectively utilizing technology to improve customer engagement, satisfaction, and loyalty can give businesses a competitive edge and boost revenue. But it's crucial to find the ideal balance. A bank's bottom line, long-term customer value, and satisfaction could all be enhanced by personalization in banking. This can only be accomplished by keeping a balance between privacy and information, relying on best practices and responsible data governance. By using this kind of approach, businesses may maximize personalization and set the way for a more personalized and engaging digital future. Through careful balancing, financial organizations can fully leverage personalization to propel growth and cultivate strong customer relationships. Personalized product development is now a must rather than a choice for businesses looking to succeed in the current technology era. The "Next in Personalisation 2021 Report" indicates this pattern, demonstrating companies who are adept at personalizing their offerings experience a rise in revenue growth along with increased customer satisfaction and loyalty. "Next in Personalisation 2021 Report" "Next in Personalisation 2021 Report" Another evidence of the relationship between successful product customization and financial success comes from the fact that businesses that successfully comprehend and meet the unique needs of their consumers routinely beat their rivals. According to Dealroom, 18% of fintech investments made in the previous year went into customized financial counsel. The relevance of individualized financial solutions in the fintech sector is being highlighted by this large funding rise. It’s a sign that investors understand how customized financial management systems may boost consumer loyalty and company expansion. Nowadays, in the highly competitive business world, businesses that prioritize customization are emerging as leaders, as personalization continues to form consumer expectations and corporate strategy. Let's take a closer look at how personalization helps businesses to increase customer loyalty and boost their revenue and overall performance. Personalization Impact, Data Proof As customer expectations for personalized experiences continue to rise, personalization has become increasingly vital while working on the creation of new products. Changes in consumer behavior caused by global crises such as the Pandemic-19 have made it more common for customers to hunt for businesses that can offer more customized solutions to satisfy their changing needs. As evidence of this, the research shows a notable shift in customer expectations: 71% of consumers nowadays anticipate personalized interactions from businesses, and 76% become upset if these expectations are not met, according to McKinsey . McKinsey A one-size-fits-all approach does not yield the same kind of advantage as successful customization in offers, which increases revenue for organizations by a significant 40% and it doesn't end there. The Complex World of Personalization in Product Development Product personalization primarily focuses on the strategic use of consumer data to give users better, more engaging experiences. In order to suit market demands and each client's unique needs and preferences, products and services must be designed accordingly. The goal is to make every customer feel valued and appreciated, whether through individualized service, flexible features, or adaptive product designs. Personalized experiences enhance engagement and satisfaction, and this is demonstrated by the impact of personalization in a variety of industries. For example, skincare companies have witnessed increases in sales and client retention by providing personalized treatments based on individual skin tests. Offering adopted fitness plans has also significantly increased customer engagement and brand loyalty for gym enterprises. But even if demands for highly customized services are growing, it is not an easy task to put into practice. Less than 50% of banks successfully use customer data management, despite the fact that 71% of institutions run personalized campaigns and communications, according to Infosys Finacle and Qorus' "Maximizing Digital Engagement" report . These financial institutions find it difficult to offer data-driven proactive guidance, and human-augmented sales supported by AI and ML recommendations. report The Fine Line in Personalization: Avoiding the "Creepy" Factor More than a decade ago, Target made scandalous headlines when it improperly used personalization in its clients’ management: it sent a teenager coupons for baby supplies before her parents even got to know about her pregnancy. Target's predictive analytics attempted to foresee customer wants, however, it fell on the side of being both thoughtful and creepy. This is a warning example for many businesses, but especially for banks handling large amounts of confidential client data. There is a great amount of responsibility associated with being able to provide hyper-personalized experiences, such as proactive financial advice or customized product recommendations. However, it's important to remember that if personalization comes up as intrusive or insensitive, it could backfire, shattering consumers' trust and forcing them to switch banks. The key is to personalize without scaring off clients. Customers should feel valued and appreciated without feeling like they are being watched over, thus personalization must be done carefully and wisely. For instance, banks can utilize aggregated insights to offer broad categories of services that could interest the consumer, instead of sending explicit messages based on personal data. Thus, finding the right balance in product development is a delicate art, even when the benefits of personalization are evident. Businesses require caution while navigating the complexity of data used to avoid finding their personalization efforts intrusive. Revolut: A Case Study in Successful Product Personalization The Revolut marketing campaign is an excellent example of a successful product personalization strategy in the banking industry. Their ability to provide financial services that are customized to meet the demands of each client shows how effective their personalized service is: the company offers its customers tailored financial solutions, such as flexible account features, individualized financial advice, and many more. Revolut's strategy consists of offering sophisticated financial tools and easily customizable app interfaces so that users may personalize their experience according to their own needs and tastes. The remarkable rise of Revolut, which now has over 35 million customers, may be attributed in a significant way to its focus on personalization. The company's performance highlights the value of personalization in raising customer satisfaction and engagement, demonstrating that tailored financial services may result in significant user growth and loyalty when implemented properly. The Role of Machine Learning in Scalable Personalization With the rise of AI and machine learning, personalization has undergone a revolution that makes it possible for businesses to effectively provide millions of customers with personalized product experiences. With the help of these tools, businesses can comb through enormous data sets and find insights that make large-scale product customization possible. In order to be successful, personalization needs to improve the product's essential features. An excellent illustration of this is the iPhone, which offers customers quick access to essential functions along with customization choices for apps as well as the way they appear on the screen. By striking this balance, personalization offers value without making the user experience more complex. Through the use of AI and machine learning, businesses may achieve scalable personalization that improves the customer experience. However, it's vital to remember that customization should simplify and enhance rather than make the user experience overcomplicated. Future Directions: Balancing Personalization with User Needs Maintaining a balance between the potential advantages and drawbacks of personalization will be the primary challenge for businesses in the future. It is essential for companies of all kinds to give high importance to ethical considerations and transparency for their clients. Businesses can use personalization to create a digital environment that is more dynamic, personalized, and engaging by implementing technology to increase data security and privacy and develop closer customer interactions. In summary, the role of personalization in product creation continues to expand and remains significant. Effectively utilizing technology to improve customer engagement, satisfaction, and loyalty can give businesses a competitive edge and boost revenue. But it's crucial to find the ideal balance. A bank's bottom line, long-term customer value, and satisfaction could all be enhanced by personalization in banking. This can only be accomplished by keeping a balance between privacy and information, relying on best practices and responsible data governance. By using this kind of approach, businesses may maximize personalization and set the way for a more personalized and engaging digital future. Through careful balancing, financial organizations can fully leverage personalization to propel growth and cultivate strong customer relationships.

Unlocking Growth and Customer Loyalty: The Essential Role of Personalization in Product Development

Unlocking the Future of Bitcoin Liquidity: Portal to Bitcoin's Vision and Our Upcoming Testnet

বিটকয়েনের তারল্যের ভবিষ্যত আনলক করা: বিটকয়েনের দৃষ্টিভঙ্গি এবং আমাদের আসন্ন টেস্টনেটের পোর্টাল

Die Zukunft der Bitcoin-Liquidität erschließen: Portal zur Bitcoin-Vision und unserem kommenden Testnetz

Liberando el futuro de la liquidez de Bitcoin: portal a la visión de Bitcoin y nuestra próxima Testnet

Déverrouiller l'avenir de la liquidité Bitcoin : portail vers la vision de Bitcoin et notre prochain réseau de test

बिटकॉइन लिक्विडिटी के भविष्य को अनलॉक करना: बिटकॉइन के विज़न और हमारे आगामी टेस्टनेट का पोर्टल

ビットコイン流動性の未来を解き放つ: ビットコインのビジョンと今後のテストネットへのポータル

비트코인 유동성의 미래를 열다: 비트코인의 비전과 다가오는 테스트넷에 대한 포털

Desbloqueando o futuro da liquidez do Bitcoin: portal para a visão do Bitcoin e nossa próxima rede de testes

Открывая будущее ликвидности биткойнов: портал к видению биткойнов и нашей будущей тестовой сети

Bitcoin Likiditesinin Geleceğinin Kilidini Açmak: Bitcoin'in Vizyonuna ve Yaklaşan Test Ağımıza Açılan Portal

Mở khóa tương lai của tính thanh khoản Bitcoin: Cổng thông tin cho tầm nhìn của Bitcoin và mạng thử nghiệm sắp tới của chúng tôi

解锁比特币流动性的未来：比特币愿景和我们即将推出的测试网的门户

Meghan Verena Joyce, the CEO of Duckbill, is on a mission transforming personal assistance by encouraging people to “duck it,” by seamlessly integrating AI technology with human expertise. With a background rooted in technology and operations at industry giants like Uber and Oscar Health, Meghan witnessed the persistent struggles of balancing professional and personal responsibilities. This experience inspired her to create Duckbill, a service designed to alleviate the daily burdens of life admin tasks, making personal assistance accessible and affordable for everyone. Meghan's vision was clear: to address the limitations of pure technology solutions and provide a reliable, hybrid model that combines AI-driven efficiency with human oversight. What inspired you to start Duckbill, and how did your background influence the development of the hybrid AI model? The inspiration for Duckbill came from witnessing firsthand the struggles of balancing professional responsibilities with personal life, especially for dual working and single working people with both jobs and personal obligations in the mix. My background in technology and operations at companies like Uber and Oscar Health provided me with a deep understanding of the potential of technology to solve real-world problems. However, I also recognized the limitations of pure technology solutions. We believe that AI and AI agents are similar to early autonomous vehicles - great in a controlled environment, but not yet capable of dealing with the long tail of real-world edge cases. This led to the development of our hybrid model, which combines AI-driven efficiency with human oversight to ensure reliability and trust. Our goal was to create a service that alleviates the burden of daily tasks, making personal assistance accessible and affordable for everyone. Can you explain how Duckbill’s hybrid AI and human collaboration model works in practice? Duckbill’s hybrid model leverages the strengths of both AI and human expertise. The AI component executes as much as possible on tasks, getting them as close to the finish line as possible. It may even guide the user to provide all necessary information. However, there is always a human on call for final execution, accuracy, and quality. This approach allows us to manage a wide range of tasks efficiently while maintaining a high level of service reliability. For example, AI might schedule appointments and send reminders, while a human assistant handles more detailed tasks like organizing travel plans or dealing with customer service issues. In the future, we aim for AI to fully execute some tasks, but for now, the balance between AI and human input is key. What challenges did you face when integrating AI with human assistance, and how did you overcome them? Integrating AI with human assistance presented several challenges. One major challenge was how to super-power our human copilots with AI, ensuring they had the best tools and information at their fingertips. We also had to train the AI to gather and reference all necessary information for task completion at the time of submission. Ensuring quality and consistency with human assistance output in real-time was another significant hurdle. We addressed these challenges by developing sophisticated algorithms that recognize the complexity of a task and route it appropriately, and by implementing rigorous training programs for our human assistants. Continuous refinement of our AI’s learning algorithms based on feedback has been crucial in maintaining service quality. How does Duckbill differentiate itself from other AI-driven personal assistants on the market? Duckbill differentiates itself through its unique ability to anticipate your needs before they arise, and to execute reliably  on life tasks and operate as an extension of our members. While other AI assistants can summarize or research, they don’t relieve the cognitive load of anticipating what you’ll need and serving those items up for you on the ideal timeframe - nor can they execute tasks like scheduling, filling out forms, calling, negotiating, or ordering. The burden of life admin is felt by everyone, and Duckbill has figured out how to democratize access to personal assistant services through both AI and real expert humans. This comprehensive solution goes beyond what traditional AI assistants offer, making personal assistance a necessity rather than a luxury. Can you share some success stories or feedback from users who have benefited from Duckbill’s services? Absolutely! We’ve received numerous positive testimonials from our users. One of our users, a working mother, shared how Duckbill has significantly reduced her daily stress by putting all of her recurring life events - birthdays, anniversaries, groceries, home and beauty purchases, doctor’s and self-care appointments  - on autopilot. These items are now anticipated and executed for her proactively. Another user, a busy executive, praised Duckbill for efficiently tackling customer service issues - waiting on hold to resolve returns, warranties, product issues, and refunds - and handling all hard-to-find prescription refills, allowing him to focus more on his work. These stories highlight how Duckbill’s services have made a tangible difference in our users' lives, providing them with valuable time and peace of mind. What are your future plans for Duckbill, and how do you see the role of AI evolving in personal assistance? Our future plans for Duckbill involve expanding our capabilities and further refining our hybrid model. We aim to integrate more advanced AI technologies to enhance our service offerings and increase efficiency. We’re also exploring new markets and expanding our user base to include more diverse demographics. As for the role of AI in personal assistance, I believe it will continue to grow and evolve, becoming more intuitive and integrated into our daily lives. The key will be maintaining a balance between automation and human touch to ensure personalized and reliable service. Duckbill will continue to innovate and lead in this space, setting new standards for AI-driven personal assistance Duckbill is a personal assistant platform for everyone to tackle the most dreaded everyday tasks by anticipating needs, surfacing results personally catered to member tastes and preferences, and executing on their behalf. By combining expert humans plus AI, Duckbill offers a service that gives real people real help. Meghan Verena Joyce , the CEO of Duckbill , is on a mission transforming personal assistance by encouraging people to “duck it,” by seamlessly integrating AI technology with human expertise. With a background rooted in technology and operations at industry giants like Uber and Oscar Health, Meghan witnessed the persistent struggles of balancing professional and personal responsibilities. This experience inspired her to create Duckbill, a service designed to alleviate the daily burdens of life admin tasks, making personal assistance accessible and affordable for everyone. Meghan's vision was clear: to address the limitations of pure technology solutions and provide a reliable, hybrid model that combines AI-driven efficiency with human oversight. Meghan Verena Joyce Duckbill What inspired you to start Duckbill, and how did your background influence the development of the hybrid AI model? What inspired you to start Duckbill, and how did your background influence the development of the hybrid AI model? The inspiration for Duckbill came from witnessing firsthand the struggles of balancing professional responsibilities with personal life, especially for dual working and single working people with both jobs and personal obligations in the mix. My background in technology and operations at companies like Uber and Oscar Health provided me with a deep understanding of the potential of technology to solve real-world problems. However, I also recognized the limitations of pure technology solutions. We believe that AI and AI agents are similar to early autonomous vehicles - great in a controlled environment, but not yet capable of dealing with the long tail of real-world edge cases. This led to the development of our hybrid model, which combines AI-driven efficiency with human oversight to ensure reliability and trust. Our goal was to create a service that alleviates the burden of daily tasks, making personal assistance accessible and affordable for everyone. Can you explain how Duckbill’s hybrid AI and human collaboration model works in practice? Can you explain how Duckbill’s hybrid AI and human collaboration model works in practice? Duckbill’s hybrid model leverages the strengths of both AI and human expertise. The AI component executes as much as possible on tasks, getting them as close to the finish line as possible. It may even guide the user to provide all necessary information. However, there is always a human on call for final execution, accuracy, and quality. This approach allows us to manage a wide range of tasks efficiently while maintaining a high level of service reliability. For example, AI might schedule appointments and send reminders, while a human assistant handles more detailed tasks like organizing travel plans or dealing with customer service issues. In the future, we aim for AI to fully execute some tasks, but for now, the balance between AI and human input is key. What challenges did you face when integrating AI with human assistance, and how did you overcome them? What challenges did you face when integrating AI with human assistance, and how did you overcome them? Integrating AI with human assistance presented several challenges. One major challenge was how to super-power our human copilots with AI, ensuring they had the best tools and information at their fingertips. We also had to train the AI to gather and reference all necessary information for task completion at the time of submission. Ensuring quality and consistency with human assistance output in real-time was another significant hurdle. We addressed these challenges by developing sophisticated algorithms that recognize the complexity of a task and route it appropriately, and by implementing rigorous training programs for our human assistants. Continuous refinement of our AI’s learning algorithms based on feedback has been crucial in maintaining service quality. How does Duckbill differentiate itself from other AI-driven personal assistants on the market? How does Duckbill differentiate itself from other AI-driven personal assistants on the market? Duckbill differentiates itself through its unique ability to anticipate your needs before they arise, and to execute reliably  on life tasks and operate as an extension of our members. While other AI assistants can summarize or research, they don’t relieve the cognitive load of anticipating what you’ll need and serving those items up for you on the ideal timeframe - nor can they execute tasks like scheduling, filling out forms, calling, negotiating, or ordering. The burden of life admin is felt by everyone, and Duckbill has figured out how to democratize access to personal assistant services through both AI and real expert humans. This comprehensive solution goes beyond what traditional AI assistants offer, making personal assistance a necessity rather than a luxury. The burden of life admin is felt by everyone, and Duckbill has figured out how to democratize access to personal assistant services through both AI and real expert humans. This comprehensive solution goes beyond what traditional AI assistants offer, making personal assistance a necessity rather than a luxury. Can you share some success stories or feedback from users who have benefited from Duckbill’s services? Can you share some success stories or feedback from users who have benefited from Duckbill’s services? Absolutely! We’ve received numerous positive testimonials from our users. One of our users, a working mother, shared how Duckbill has significantly reduced her daily stress by putting all of her recurring life events - birthdays, anniversaries, groceries, home and beauty purchases, doctor’s and self-care appointments  - on autopilot. These items are now anticipated and executed for her proactively. Another user, a busy executive, praised Duckbill for efficiently tackling customer service issues - waiting on hold to resolve returns, warranties, product issues, and refunds - and handling all hard-to-find prescription refills, allowing him to focus more on his work. These stories highlight how Duckbill’s services have made a tangible difference in our users' lives, providing them with valuable time and peace of mind. What are your future plans for Duckbill, and how do you see the role of AI evolving in personal assistance? What are your future plans for Duckbill, and how do you see the role of AI evolving in personal assistance? Our future plans for Duckbill involve expanding our capabilities and further refining our hybrid model. We aim to integrate more advanced AI technologies to enhance our service offerings and increase efficiency. We’re also exploring new markets and expanding our user base to include more diverse demographics. As for the role of AI in personal assistance, I believe it will continue to grow and evolve, becoming more intuitive and integrated into our daily lives. The key will be maintaining a balance between automation and human touch to ensure personalized and reliable service. Duckbill will continue to innovate and lead in this space, setting new standards for AI-driven personal assistance Duckbill is a personal assistant platform for everyone to tackle the most dreaded everyday tasks by anticipating needs, surfacing results personally catered to member tastes and preferences, and executing on their behalf. By combining expert humans plus AI, Duckbill offers a service that gives real people real help. Duckbill is a personal assistant platform for everyone to tackle the most dreaded everyday tasks by anticipating needs, surfacing results personally catered to member tastes and preferences, and executing on their behalf. By combining expert humans plus AI, Duckbill offers a service that gives real people real help.

How Meghan Joyce and Duckbill Unlocked Life Efficiency with AI and Human Collaboration

Vector Databases: Unlocking New Dimensions in Similarity Search 

Ideogram Prompt: Create a pixel-perfect Insta logo on a vibrant mushroom. The typography above mario reads "Beneath the Links" written in contra sega games letters., 3d render, illustration, typography, vibrant, anime Have you ever wondered what happens behind the scenes when you click a link? The Internet is a vast network, and web addresses, or URLs, are like maps guiding us through it. In this article, we'll explore the fascinating world of URLs by looking at how Instagram uses them. Get ready to learn how the web truly works! A Peek Behind the Curtain: Instagram's Login Process Imagine setting up an automatic Instagram post using a tool. You're presented with a long, mysterious web address: "https://www.instagram.com/accounts/login/force_authentication=1&enable_fb_login=1&next=/oauth/authorize%3Fclient_id%3D178678656777493%26redirect_uri%″ This address is like a treasure map, leading us through the intricate paths of the Internet. Let's break it down: https:// This is like saying, "Hey, let's talk securely." It's a safe way to send information. www.instagram.com This is Instagram's online address, where all its content lives. /accounts/login/ This directs us to the login page, like a signpost saying, "Welcome, sign in here.” force_authentication=1&enable_fb_login=1These add extra instructions, like "Make sure they log in securely," and "Let them use their Facebook info." next=/oauth/authorize This continues the journey, using a standard map (OAuth) for safe travels. It includes details like a client ID and where to go next. By deciphering this address, we understand how Instagram securely guides us through the web. Decoding the Secrets: The Magic of Parameters As we journey through the Instagram login URL, we encounter curious fragments filled with intriguing parameters. These parameters are like hidden keys, each serving a unique purpose in the authentication process: client_id: Imagine a unique identifier, like a special passcode, given to Instagram by the tool you're using (in this case, Zapier). This ensures that Instagram knows exactly which app is trying to access your account and can enforce special permissions or restrictions. redirect_uri: This is like a return address on a letter. It tells Instagram where to send you back after you've successfully logged in. It ensures you don't get lost in the vast web and always end up back where you need to be. response_type: Instagram is versatile, and this parameter determines the type of response it should provide. It could be a code, token, or other data, depending on the context of the request. scope: This parameter defines the permissions being requested. It's like a list of privileges, specifying what parts of your Instagram account the app can access, such as your profile or media. state: Security is paramount, and this parameter guards against potential threats. It's a random string generated for each request, ensuring that no mischievous imposters can tamper with the login process. logger_id: Instagram keeps a careful eye on things, and this parameter helps with debugging. It's like a unique identifier for the login attempt, making it easier to trace and resolve any issues that may arise. By including these parameters, Instagram orchestrates a secure and tailored login experience, ensuring that your journey through the web is both safe and seamless. A Visual Flow Why Understanding Web Addresses Matters Exploring web addresses is exciting, but it's also useful! Here's how: Fixing Problems: Understanding web addresses helps fix issues with websites and apps, like a detective solving a mystery.
SEO: Creating clear web addresses improves a website's visibility, helping people find it easier.
Building Blocks: Developing new apps and services relies on understanding the basics of web addresses.
Staying Safe: With cyber threats, knowing about secure web addresses protects your online safety.
Marketing: Marketers use special web addresses to track campaigns and understand their audience.
Sharing: Well-structured web addresses make it simple to share specific content or resources.
Short and Sweet: Long addresses can be shortened, making them easier to share and remember. USE CASES Troubleshooting and Debugging: Identify and fix errors in web applications by analyzing URL parameters.
SEO Optimization: Create user-friendly, keyword-rich URLs to improve search engine rankings.
API Integration: Access and manipulate web services by understanding query strings and path parameters.
Security: Detection of malicious URLs and prevent phishing or data breaches.
Link Tracking: Monitoring of traffic sources and user behavior with UTM parameters.
Custom URL Generation: Development of personalized links for marketing campaigns or user experience.
Data Sharing: Safe sharing of specific resources or searches using well-structured URLs.
URL Shortening: Generation of shorter links for ease of sharing while maintaining the original URL’s purpose. If you like the above, feel free to connect on LinkedIn/support me on Patreon/buy me a coffee to help me continue my journey. References : https://www.ibm.com/docs/en/cics-ts/6.1?topic=concepts-components-url
https://en.wikipedia.org/wiki/Uniform_Resource_Identifier
https://owasp.org/www-community/attacks/csrf
https://developers.cloudflare.com/pages/functions/debugging-and-logging/
https://auth0.com/docs/get-started/authentication-and-authorization-flow/authorization-code-flow/add-login-auth-code-flow Ideogram Prompt: Create a pixel-perfect Insta logo on a vibrant mushroom. The typography above mario reads "Beneath the Links" written in contra sega games letters., 3d render, illustration, typography, vibrant, anime Ideogram Prompt: Create a pixel-perfect Insta logo on a vibrant mushroom. The typography above mario reads "Beneath the Links" written in contra sega games letters., 3d render, illustration, typography, vibrant, anime Ideogram Prompt: Create a pixel-perfect Insta logo on a vibrant mushroom. The typography above mario reads "Beneath the Links" written in contra sega games letters., 3d render, illustration, typography, vibrant, anime Have you ever wondered what happens behind the scenes when you click a link? The Internet is a vast network, and web addresses, or URLs, are like maps guiding us through it. In this article, we'll explore the fascinating world of URLs by looking at how Instagram uses them. Get ready to learn how the web truly works! A Peek Behind the Curtain: Instagram's Login Process Imagine setting up an automatic Instagram post using a tool. You're presented with a long, mysterious web address: "https://www.instagram.com/accounts/login/force_authentication=1&enable_fb_login=1&next=/oauth/authorize%3Fclient_id%3D178678656777493%26redirect_uri%″ " https://www.instagram.com/accounts/login/force_authentication=1&enable_fb_login=1&next=/oauth/authorize%3Fclient_id%3D178678656777493%26redirect_uri%″ https://www.instagram.com/accounts/login/force_authentication=1&enable_fb_login=1&next=/oauth/authorize%3Fclient_id%3D178678656777493%26redirect_uri%″ https://www.instagram.com/accounts/login/force_authentication=1&enable_fb_login=1&next=/oauth/authorize%3Fclient_id%3D178678656777493%26redirect_uri%″ This address is like a treasure map, leading us through the intricate paths of the Internet. Let's break it down: https:// This is like saying, "Hey, let's talk securely." It's a safe way to send information. https:// This is like saying, "Hey, let's talk securely." It's a safe way to send information. https:// www.instagram.com This is Instagram's online address, where all its content lives. www.instagram.com This is Instagram's online address, where all its content lives. www.instagram.com /accounts/login/ This directs us to the login page, like a signpost saying, "Welcome, sign in here.” /accounts/login/ This directs us to the login page, like a signpost saying, "Welcome, sign in here.” /accounts/login/ force_authentication=1&enable_fb_login=1These add extra instructions, like "Make sure they log in securely," and "Let them use their Facebook info." force_authentication=1&enable_fb_login=1 These add extra instructions, like "Make sure they log in securely," and "Let them use their Facebook info." force_authentication=1&enable_fb_login=1 next=/oauth/authorize This continues the journey, using a standard map (OAuth) for safe travels. It includes details like a client ID and where to go next. next=/oauth/authorize This continues the journey, using a standard map (OAuth) for safe travels. It includes details like a client ID and where to go next. next=/oauth/authorize By deciphering this address, we understand how Instagram securely guides us through the web. Decoding the Secrets: The Magic of Parameters As we journey through the Instagram login URL, we encounter curious fragments filled with intriguing parameters. These parameters are like hidden keys, each serving a unique purpose in the authentication process: client_id: Imagine a unique identifier, like a special passcode, given to Instagram by the tool you're using (in this case, Zapier). This ensures that Instagram knows exactly which app is trying to access your account and can enforce special permissions or restrictions. client_id: Imagine a unique identifier, like a special passcode, given to Instagram by the tool you're using (in this case, Zapier). This ensures that Instagram knows exactly which app is trying to access your account and can enforce special permissions or restrictions. client_id: redirect_uri: This is like a return address on a letter. It tells Instagram where to send you back after you've successfully logged in. It ensures you don't get lost in the vast web and always end up back where you need to be. redirect_uri: This is like a return address on a letter. It tells Instagram where to send you back after you've successfully logged in. It ensures you don't get lost in the vast web and always end up back where you need to be. redirect_uri: response_type: Instagram is versatile, and this parameter determines the type of response it should provide. It could be a code, token, or other data, depending on the context of the request. response_type: Instagram is versatile, and this parameter determines the type of response it should provide. It could be a code, token, or other data, depending on the context of the request. response_type: scope: This parameter defines the permissions being requested. It's like a list of privileges, specifying what parts of your Instagram account the app can access, such as your profile or media. scope: This parameter defines the permissions being requested. It's like a list of privileges, specifying what parts of your Instagram account the app can access, such as your profile or media. scope: state: Security is paramount, and this parameter guards against potential threats. It's a random string generated for each request, ensuring that no mischievous imposters can tamper with the login process. state: Security is paramount, and this parameter guards against potential threats. It's a random string generated for each request, ensuring that no mischievous imposters can tamper with the login process. state: logger_id: Instagram keeps a careful eye on things, and this parameter helps with debugging. It's like a unique identifier for the login attempt, making it easier to trace and resolve any issues that may arise. logger_id: Instagram keeps a careful eye on things, and this parameter helps with debugging. It's like a unique identifier for the login attempt, making it easier to trace and resolve any issues that may arise. logger_id: By including these parameters, Instagram orchestrates a secure and tailored login experience, ensuring that your journey through the web is both safe and seamless. A Visual Flow Why Understanding Web Addresses Matters Exploring web addresses is exciting, but it's also useful! Here's how: Fixing Problems: Understanding web addresses helps fix issues with websites and apps, like a detective solving a mystery. SEO: Creating clear web addresses improves a website's visibility, helping people find it easier. Building Blocks: Developing new apps and services relies on understanding the basics of web addresses. Staying Safe: With cyber threats, knowing about secure web addresses protects your online safety. Marketing: Marketers use special web addresses to track campaigns and understand their audience. Sharing: Well-structured web addresses make it simple to share specific content or resources. Short and Sweet: Long addresses can be shortened, making them easier to share and remember. Fixing Problems: Understanding web addresses helps fix issues with websites and apps, like a detective solving a mystery. Fixing Problems: SEO: Creating clear web addresses improves a website's visibility, helping people find it easier. SEO: Building Blocks: Developing new apps and services relies on understanding the basics of web addresses. Building Blocks: Staying Safe: With cyber threats, knowing about secure web addresses protects your online safety. Staying Safe: Marketing: Marketers use special web addresses to track campaigns and understand their audience. Marketing: Sharing: Well-structured web addresses make it simple to share specific content or resources. Sharing: Short and Sweet: Long addresses can be shortened, making them easier to share and remember. Short and Sweet: USE CASES Troubleshooting and Debugging: Identify and fix errors in web applications by analyzing URL parameters. SEO Optimization: Create user-friendly, keyword-rich URLs to improve search engine rankings. API Integration: Access and manipulate web services by understanding query strings and path parameters. Security: Detection of malicious URLs and prevent phishing or data breaches. Link Tracking: Monitoring of traffic sources and user behavior with UTM parameters. Custom URL Generation: Development of personalized links for marketing campaigns or user experience. Data Sharing: Safe sharing of specific resources or searches using well-structured URLs. URL Shortening: Generation of shorter links for ease of sharing while maintaining the original URL’s purpose. Troubleshooting and Debugging : Identify and fix errors in web applications by analyzing URL parameters. Troubleshooting and Debugging SEO Optimization : Create user-friendly, keyword-rich URLs to improve search engine rankings. SEO Optimization API Integration : Access and manipulate web services by understanding query strings and path parameters. API Integration Security : Detection of malicious URLs and prevent phishing or data breaches. Security Link Tracking : Monitoring of traffic sources and user behavior with UTM parameters. Link Tracking Custom URL Generation : Development of personalized links for marketing campaigns or user experience. Custom URL Generation Data Sharing : Safe sharing of specific resources or searches using well-structured URLs. Data Sharing URL Shortening : Generation of shorter links for ease of sharing while maintaining the original URL’s purpose. URL Shortening If you like the above, feel free to connect on LinkedIn /support me on Patreon /buy me a coffee to help me continue my journey. LinkedIn Patreon coffee References : https://www.ibm.com/docs/en/cics-ts/6.1?topic=concepts-components-url https://en.wikipedia.org/wiki/Uniform_Resource_Identifier https://owasp.org/www-community/attacks/csrf https://developers.cloudflare.com/pages/functions/debugging-and-logging/ https://auth0.com/docs/get-started/authentication-and-authorization-flow/authorization-code-flow/add-login-auth-code-flow https://www.ibm.com/docs/en/cics-ts/6.1?topic=concepts-components-url https://en.wikipedia.org/wiki/Uniform_Resource_Identifier https://owasp.org/www-community/attacks/csrf https://developers.cloudflare.com/pages/functions/debugging-and-logging/ https://auth0.com/docs/get-started/authentication-and-authorization-flow/authorization-code-flow/add-login-auth-code-flow

Unlocking the Secrets of URL: A Journey for All

Authors:
(1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu);
(2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu);
(3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Table of Links Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.3 Agent Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 4.3 Hands-on Tutorials We provide tutorials to help users walk through the strategy design pipeline, i.e., get familiar with the stat-action-reward specifications in Table 1 and the agent-environment interactions in Fig. 1. Tutorial 1: Stock trading First, users specify the state at the application layer, i.e., the number of stocks, technical indicators, the initial capital, etc. Second, users provide start/end dates for training/testing periods, set the time granularity. FinRL instantiates an environment for the task, while the operations are transparent to users. FinRL uses standard APIs to download data and obtains a Pandas DataFrame containing the open-high-low-close prices and volume (OHLCV) data. FinRL preprocesses the OHLCV data by filling missing data and calculates technical indicators that are passed into the state. Third, users select a DRL library and a DRL algorithm. FinRL has default hyperparameters for daily stock trading task. During the testing period, users can tune these parameters to improve the trading performance. Finally, FinRL feeds time series data of the portfolio value into a backtesting module to plot charts. Please see examples in Section 4.4 and Section 4.6. Tutorial 2: Analyzing Trading Performance Before deploying a trading strategy, users need to fully evaluate its trading performance via backtesting. The trading performance can be easily evaluated using the automatic backtesting module in Section 4.1. The commonly used trading metrics and baseline strategies are given in Section 4.2. Cumulative return and Sharpe ratio are widely used metrics to evaluate overall performance of trading strategies. To gain more details about the strategy, the distribution of returns over the testing period and annualized return are provided to examine if the return is stable and consistent. Annualized volatility and maximum drawdown measure the robustness. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Authors: Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang ( Corresponding Author ), New York University Shanghai (christina.wang@nyu.edu). Corresponding Author Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.2 Application Layer 3.3 Agent Layer 3.3 Agent Layer 3.4 Environment Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 5 Ecosystem of FinRL and Conclusions, and References 4.3 Hands-on Tutorials We provide tutorials to help users walk through the strategy design pipeline, i.e., get familiar with the stat-action-reward specifications in Table 1 and the agent-environment interactions in Fig. 1. Tutorial 1: Stock trading Tutorial 1: Stock trading First, users specify the state at the application layer, i.e., the number of stocks, technical indicators, the initial capital, etc. Second, users provide start/end dates for training/testing periods, set the time granularity. FinRL instantiates an environment for the task, while the operations are transparent to users. FinRL uses standard APIs to download data and obtains a Pandas DataFrame containing the open-high-low-close prices and volume (OHLCV) data. FinRL preprocesses the OHLCV data by filling missing data and calculates technical indicators that are passed into the state. Third, users select a DRL library and a DRL algorithm. FinRL has default hyperparameters for daily stock trading task. During the testing period, users can tune these parameters to improve the trading performance. Finally, FinRL feeds time series data of the portfolio value into a backtesting module to plot charts. Please see examples in Section 4.4 and Section 4.6. Tutorial 2: Analyzing Trading Performance Tutorial 2: Analyzing Trading Performance Before deploying a trading strategy, users need to fully evaluate its trading performance via backtesting. The trading performance can be easily evaluated using the automatic backtesting module in Section 4.1. The commonly used trading metrics and baseline strategies are given in Section 4.2. Cumulative return and Sharpe ratio are widely used metrics to evaluate overall performance of trading strategies. To gain more details about the strategy, the distribution of returns over the testing period and annualized return are provided to examine if the return is stable and consistent. Annualized volatility and maximum drawdown measure the robustness. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Unlock the Secrets of Algorithmic Trading

For a beginner, it might seem daunting to start learning how to code, but with the endless advancements in technology, there are now innovative tools that can make learning how to code easy and fun. One of those tools is ChatGPT which was developed by OpenAI. Back when I started learning how to code, there was no ChatGPT, but now, it's become the number one coding assistant for many developers, myself included. I use it daily, and frankly, I think you should too. In this article, I will show you how you can use ChatGPT as a guide on your fun coding adventure using two of the most popular programming languages, Python and JavaScript. Understanding ChatGPT Before we jump into using ChatGPT as our guide and assistant, let's understand what this tool really is. ChatGPT is a language model developed by OpenAI, and it's based on the GPT-3.5 and GPT-4 architectures. It’s pre-trained on public data and data licensed from third-party providers to be able to predict the best answer for your query. It’s capable of delivering human-like text responses and can be used in various natural language processing tasks. In your case, as an interactive coding assistant. Getting Started To begin your learning journey using ChatGPT, you will need access to an environment where you can interface with the model. OpenAI does offer an API that developers can hook into but for anyone starting out in this aspect, using the official OpenAI website would be the right move. You can toy with ChatGPT on the OpenAI website in a user-friendly, as well as interactive, user interface. OpenAI keeps updating the website and keeps adding new features and customizations to the online interface. The paid version of their service has some third-party plugins you can use, and it gives you access to GPT-4, their latest releases. In my case and as a Data Engineer, I use the plugins and GPT-4 daily so I can upload and ask the model to create downloadable texts, images, and graphs which makes the boring part of my job so much easier. Choosing a Language: Python or JavaScript Python, as well as JavaScript, are some of the most popular programming languages these days with excellent features to showcase on any project. Python is popular because it has a simple syntax. On the other hand, by learning JavaScript as your first language, you have a chance to start developing full-stack web applications ASAP. Based on your programming language choice, you can always start your ChatGPT queries by specifying the language or the framework you are working with. Asking Basic Coding Questions Now that you have selected the language, you can proceed with some basic coding questions to ChatGPT. Begin with some of the easier questions on concepts such as variables, data types, and basic syntax examples. For instance: Variables:
You can ask: "How do I declare a variable in Python?"
ChatGPT might respond with: "In Python, you declare a variable using the syntax: variable_name = value." Data Types:
You can inquire: "What are the main data types in JavaScript?"
ChatGPT might provide: "JavaScript has several data types, including string, number, boolean, object, and array." Basic Syntax:
Ask: "Can you explain the if-else statement in Python?"
ChatGPT might elucidate: "In Python, the if-else statement is used for conditional execution. It follows the syntax: if condition: # code block 1 else: # code block 2." Building on Fundamentals Once the basics are clear, then start asking tougher or more complex questions. Concepts like loops, functions, and object-oriented programming can be used to explore these ideas. Eventually, you can increase the bar of questioning to ensure better ways of learning. Loops:
Ask: "How does a for loop work in JavaScript?"
ChatGPT could respond: "In JavaScript, a for loop has the syntax: for (initialization; condition; update) { // code block }." Functions:
Inquire: "What is the significance of parameters in a Python function?" ChatGPT might explain: "Parameters in a Python function allow you to pass values to the function. They are variables that store the arguments you provide when calling the function." Object-Oriented Programming (OOP):
Ask: "Can you give an example of a Python class and its methods?"
ChatGPT may provide: "Certainly! In Python, a class is defined using the class keyword. Here's an example: class Dog: def init(self, name, age): self.name = name self.age = age def bark(self): return 'Woof!' Troubleshooting and Debugging As you progress, you'll likely encounter errors or face challenges in your code. ChatGPT can also assist you in troubleshooting and debugging. Error Handling:
Ask: "How do I handle exceptions in Python?"
ChatGPT might guide you: "In Python, you can use the ‘try’, ‘except’, and optionally ‘finally’ blocks for exception handling. For example: try: # code that might raise an exceptionexcept Exception as e: # handle the exceptionfinally: # optional cleanup code```" Debugging Tips:
Inquire: "What are some common ways to debug JavaScript code?"
ChatGPT may suggest: "For JavaScript, you can use console.log() statements, browser developer tools, and tools like VSCode with breakpoints to debug your code effectively." Practical Projects and Real-world Applications To solidify your coding skills, consider working on practical projects. ChatGPT can provide guidance on project ideas, implementation details, and best practices. Project Ideas:
Ask: "Can you suggest a beginner-friendly Python project?"
ChatGPT might propose: "Certainly! How about creating a simple to-do list application using a Python web framework like Flask or Django?" Implementation Guidance:
Inquire: "What are the steps to build a basic website using HTML, CSS, and JavaScript?"
ChatGPT could guide you: "First, create an HTML file for the structure, then add styles using CSS. Use JavaScript for interactivity, handling user input, and updating the DOM dynamically." Best Practices:
Ask: "What are some best practices for writing efficient Python code?"
ChatGPT may advise: "Consider using meaningful variable names, following PEP 8 style guide, and optimizing algorithms for better performance." Conclusion Learning how to code with ChatGPT makes the process more exciting and interactive which, in turn, could transform learning complex concepts into something that is easy and fun. Starting with the basics, continuing to advanced topics, moving to error handling, and finishing with implementation into practical projects, ChatGPT can be your complete guide to building your coding foundation in Python or JavaScript languages. Remember, ChatGPT is a learning aid only, so be sure to practice coding regularly, and don't hesitate to find more resources or join programming communities. With dedication and the right resources, you might find yourself immersed in the wonderful world of coding. For a beginner, it might seem daunting to start learning how to code, but with the endless advancements in technology, there are now innovative tools that can make learning how to code easy and fun. One of those tools is ChatGPT which was developed by OpenAI. Back when I started learning how to code, there was no ChatGPT, but now, it's become the number one coding assistant for many developers, myself included. For a beginner, it might seem daunting to start learning how to code, but with the endless advancements in technology, there are now innovative tools that can make learning how to code easy and fun. One of those tools is ChatGPT which was developed by OpenAI. Back when I started learning how to code, there was no ChatGPT, but now, it's become the number one coding assistant for many developers, myself included. I use it daily, and frankly, I think you should too. I use it daily, and frankly, I think you should too. In this article, I will show you how you can use ChatGPT as a guide on your fun coding adventure using two of the most popular programming languages, Python and JavaScript. In this article, I will show you how you can use ChatGPT as a guide on your fun coding adventure using two of the most popular programming languages, Python and JavaScript. Understanding ChatGPT Before we jump into using ChatGPT as our guide and assistant, let's understand what this tool really is. ChatGPT is a language model developed by OpenAI, and it's based on the GPT-3.5 and GPT-4 architectures. It’s pre-trained on public data and data licensed from third-party providers to be able to predict the best answer for your query. It’s capable of delivering human-like text responses and can be used in various natural language processing tasks. In your case, as an interactive coding assistant. Getting Started To begin your learning journey using ChatGPT, you will need access to an environment where you can interface with the model. OpenAI does offer an API that developers can hook into but for anyone starting out in this aspect, using the official OpenAI website would be the right move. You can toy with ChatGPT on the OpenAI website in a user-friendly, as well as interactive, user interface. OpenAI keeps updating the website and keeps adding new features and customizations to the online interface. The paid version of their service has some third-party plugins you can use, and it gives you access to GPT-4, their latest releases. In my case and as a Data Engineer, I use the plugins and GPT-4 daily so I can upload and ask the model to create downloadable texts, images, and graphs which makes the boring part of my job so much easier. Choosing a Language: Python or JavaScript Python, as well as JavaScript, are some of the most popular programming languages these days with excellent features to showcase on any project. Python is popular because it has a simple syntax. On the other hand, by learning JavaScript as your first language, you have a chance to start developing full-stack web applications ASAP. Based on your programming language choice, you can always start your ChatGPT queries by specifying the language or the framework you are working with. Asking Basic Coding Questions Now that you have selected the language, you can proceed with some basic coding questions to ChatGPT. Begin with some of the easier questions on concepts such as variables, data types, and basic syntax examples. For instance: Variables: You can ask: "How do I declare a variable in Python?" ChatGPT might respond with: "In Python, you declare a variable using the syntax: variable_name = value." Variables: You can ask: "How do I declare a variable in Python?" ChatGPT might respond with: "In Python, you declare a variable using the syntax: variable_name = value." Data Types: You can inquire: "What are the main data types in JavaScript?" ChatGPT might provide: "JavaScript has several data types, including string, number, boolean, object, and array." Data Types: You can inquire: "What are the main data types in JavaScript?" ChatGPT might provide: "JavaScript has several data types, including string, number, boolean, object, and array." Basic Syntax: Ask: "Can you explain the if-else statement in Python?" ChatGPT might elucidate: "In Python, the if-else statement is used for conditional execution. It follows the syntax: if condition: # code block 1 else: # code block 2." Basic Syntax: Ask: "Can you explain the if-else statement in Python?" ChatGPT might elucidate: "In Python, the if-else statement is used for conditional execution. It follows the syntax: if condition: # code block 1 else: # code block 2." Building on Fundamentals Once the basics are clear, then start asking tougher or more complex questions. Concepts like loops, functions, and object-oriented programming can be used to explore these ideas. Eventually, you can increase the bar of questioning to ensure better ways of learning. Loops: Ask: "How does a for loop work in JavaScript?" ChatGPT could respond: "In JavaScript, a for loop has the syntax: for (initialization; condition; update) { // code block }." Loops: Ask: "How does a for loop work in JavaScript?" ChatGPT could respond: "In JavaScript, a for loop has the syntax: for (initialization; condition; update) { // code block }." Functions: Inquire: "What is the significance of parameters in a Python function?" Functions: Inquire: "What is the significance of parameters in a Python function?" ChatGPT might explain: "Parameters in a Python function allow you to pass values to the function. They are variables that store the arguments you provide when calling the function." Object-Oriented Programming (OOP): Ask: "Can you give an example of a Python class and its methods?" ChatGPT may provide: "Certainly! In Python, a class is defined using the class keyword. Here's an example: Object-Oriented Programming (OOP): Ask: "Can you give an example of a Python class and its methods?" ChatGPT may provide: "Certainly! In Python, a class is defined using the class keyword. Here's an example: class Dog: def init(self, name, age): self.name = name self.age = age def bark(self): return 'Woof!' Troubleshooting and Debugging As you progress, you'll likely encounter errors or face challenges in your code. ChatGPT can also assist you in troubleshooting and debugging. Error Handling: Ask: "How do I handle exceptions in Python?" ChatGPT might guide you: "In Python, you can use the ‘try’, ‘except’, and optionally ‘finally’ blocks for exception handling. For example: Error Handling: Ask: "How do I handle exceptions in Python?" ChatGPT might guide you: "In Python, you can use the ‘try’, ‘except’, and optionally ‘finally’ blocks for exception handling. For example: try: # code that might raise an exceptionexcept Exception as e: # handle the exceptionfinally: # optional cleanup code```" Debugging Tips: Inquire: "What are some common ways to debug JavaScript code?" ChatGPT may suggest: "For JavaScript, you can use console.log() statements, browser developer tools, and tools like VSCode with breakpoints to debug your code effectively." Debugging Tips: Inquire: "What are some common ways to debug JavaScript code?" ChatGPT may suggest: "For JavaScript, you can use console.log() statements, browser developer tools, and tools like VSCode with breakpoints to debug your code effectively." Practical Projects and Real-world Applications To solidify your coding skills, consider working on practical projects. ChatGPT can provide guidance on project ideas, implementation details, and best practices. Project Ideas: Ask: "Can you suggest a beginner-friendly Python project?" ChatGPT might propose: "Certainly! How about creating a simple to-do list application using a Python web framework like Flask or Django?" Project Ideas: Ask: "Can you suggest a beginner-friendly Python project?" ChatGPT might propose: "Certainly! How about creating a simple to-do list application using a Python web framework like Flask or Django?" Implementation Guidance: Inquire: "What are the steps to build a basic website using HTML, CSS, and JavaScript?" ChatGPT could guide you: "First, create an HTML file for the structure, then add styles using CSS. Use JavaScript for interactivity, handling user input, and updating the DOM dynamically." Implementation Guidance: Inquire: "What are the steps to build a basic website using HTML, CSS, and JavaScript?" ChatGPT could guide you: "First, create an HTML file for the structure, then add styles using CSS. Use JavaScript for interactivity, handling user input, and updating the DOM dynamically." Best Practices: Ask: "What are some best practices for writing efficient Python code?" ChatGPT may advise: "Consider using meaningful variable names, following PEP 8 style guide, and optimizing algorithms for better performance." Best Practices: Ask: "What are some best practices for writing efficient Python code?" ChatGPT may advise: "Consider using meaningful variable names, following PEP 8 style guide, and optimizing algorithms for better performance." Conclusion Learning how to code with ChatGPT makes the process more exciting and interactive which, in turn, could transform learning complex concepts into something that is easy and fun. Starting with the basics, continuing to advanced topics, moving to error handling, and finishing with implementation into practical projects, ChatGPT can be your complete guide to building your coding foundation in Python or JavaScript languages. Remember, ChatGPT is a learning aid only, so be sure to practice coding regularly, and don't hesitate to find more resources or join programming communities. With dedication and the right resources, you might find yourself immersed in the wonderful world of coding.

Unlocking Code Mastery: A Vibrant Guide to Learning Python, JavaScript, and Beyond With ChatGPT

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