A person in a dispute who scorned another on social media by using abbreviations of the Zhuyin Fuhao (注音符號) phonetic system, commonly known as “Bopomofo,” has been found guilty of making a public insult and ordered to pay a NT$5,000 fine.

Woman fined for public insult in online quarrel case

The "Mic Song Cup" organized by 17sing is on fire. The event has successfully progressed to the climax of the Breakout Competition. In this part, everybody can vote for their favorite music works to help them join the alliance.

17sing "Mic Song Cup" teamed up with "WACKYBOYS-Soon Sun" and "Master Nana" to build a diversified ecosystem of beneficial among the Internet

A passenger who took a train from Taitung City to Kaohsiung on Thursday was poked by a needle left between the cushions of the seat where they were sitting, the passenger said in a post to social-media platform Dcard.

Train passenger poked by needle

A Taiwanese man's romantic getaway takes an unexpected turn when his girlfriend measures his private parts with a disappointed reaction.

Taiwanese man doesn’t measure up to his girlfriend’s expectations

The National Development Council (NDC) is committed to enhancing Taiwan's global prominence in the startup ecosystem. Building upon the national startup brand "Startup Island TAIWAN," the NDC is further advancing the "NEXT BIG" program.

Taiwan's "NEXT BIG" startup Initiative strengthened by National Development Council (NDC) increased support.

In a Dcard post on Friday evening, the fan, who claimed to be a Kings supporter, said he was shocked to learn that his then-girlfriend had an affair with Yang in mid-March, providing screenshots of their alleged exchanges on Instagram.

Kings star Yang hints at retiring after affair claim

The student promoted Sigma Co on the social media platform Dcard, saying it provided “entertainment services and lessons on picking up women.” However, on Instagram — where the student also advertised the venture — he described the company as ...

Student apologizes for ‘rent-a-girlfriend’ service

Taiwan social media commenters have backed a woman for rejecting a man who dodged paying a restaurant bill by going to the toilet.

‘Wasting my life knowing him’: Taiwan woman slams skinflint sushi date who used toilet dodge to avoid paying dinner bill

Minister of Foreign Affairs Joseph Wu (吳釗燮) yesterday said the Ministry of Foreign Affairs (MOFA) would do its best to assist overseas Taiwanese in need. The remarks came after a Taiwanese student expressed disappointment at the Taipei Economic and Cultural Office in New York after seeking help from there following an attack.

MOFA vows to do its best to help after NY complaint

Woman strips in convenience store under intoxication, triggering debate on public drinking and social norms in viral video.

Drunk woman in Taiwan undresses in 7-Eleven, sparks heated online debate

Dcard

dcard

Winter(Physics) is Coming It now looks like Large Language Models running on the GPT technology may be nearing a plateau in their development. This is from popular Physicist Dr. Sabine Hossenfelder’s latest YouTube video. https://www.youtube.com/watch?v=AqwSZEQkknU&embedable=true Dr. Sabine cites a couple of sources, including Bill Gates, who said last year that GPT 5 won’t be much better than GPT 4. And Prof. Gary Marcus says he has been drumming this particular beat for years. This goes against all the Ray Kurzweilian hype by Sam Altman and Ilya Sutskever as seen in the video. But if merely beautiful mathematics won’t spur the progress of Physics, as Dr. Sabine always reminds us, then merely wishful group-thinking won’t give us a superhuman artificial general intelligence (AGI). Why isn’t throwing as much data, computing power, and human supervision as can be afforded, going to birth us a superhuman AGI? Dr. Sabine has a ready answer. The problem, she explains, is the Decoupling of Scales. The Decoupling of Scales The world is broken up into scales. In the physical world, there is the scale of land animals like us humans. Then below that we have microbes, then molecules, atoms, and subatomic particles. In the opposite direction, we have aircraft and skyscrapers, mountains, planets, stars, solar systems, galaxies, etc. In the world of data, we have high-resolution data e.g. categories like “objects that can be touched”, “animals”, “cats”. Then low-resolution data to further expand the above categories e.g. “cat species”, “cat patterns”, “cat behavior at 8:00 am on Monday,” etc. There are other taxonomies, however. Some data is online and some is offline in books, papers, and people’s minds. We may have all the knowledge we desire at the high-resolution scale of human language creation on the internet. But that doesn’t equate to the much bigger, low-resolution data source that is human language creation in the world. Thus, Sam Altman’s AI is like Aristotle in the image below. Hoping to discover the Standard Model of Physics by looking at his hand. But without something like the Large Hadron Collider to poke subatomic particles and see the strange new data hiding within, Aristotle is at a loss on how to proceed. A Large Hadron Collider for AI GPT architecture, unveiled to the world only 2 years ago with the phenomenal ChatGPT, is likely nearing the end of its “improvement-ness”. Perhaps it is time to seriously consider passing the baton, and the VC funding, to something else. I am rooting for thermodynamic computing, currently being explored by companies like Extropic, which works by leveraging thermal noise to create random samples of data as in Stable Diffusion technology, then denoising using statistical analysis. In fact, in any neural network, the initial weights are usually initialized with random noise. During training, backpropagation shapes the final weights from this random noise - writes Laszlo Fazekas. The advantage lies in the chips operating at scales smaller than those of traditional digital computing, where quantum effects result in abundant thermal noise. Thermal noise has always been plenty, anyway. My kitchen stove is full of thermal noise. The real problem has always been how to understand it better through statistical chunking of its data, without throwing away data during regression analysis. My guess? Some sort of massive cloud computational AI training leveraging smartphones, bitcoin nodes, TV sets, radios, name it. Currently, allowing the AI some “thinking time'“ so that it runs longer inferences on the same data, is how AI companies are squeezing out some more juice. For example with ChatGPT’s o1 model. But maybe even training time should be extended. Maybe to get great AI, like a child, it needs decades of training from data collected from all over. Collected and slowly siphoned into a condensed AI model in a few servers. Sam Altman might need those trillions of government dollars for such a plan. Alas, they will likely not be easy to get. The D.O.G.E might not bankroll him (if xAI is suffering the same troubles). Meanwhile, Bitcoin is still growing As the above graphic shows, very few people are using Bitcoin. Yet it is already at $90k. Data from Bitbo shows that in fact, only 400,000 people are using Bitcoin daily. And only 106 million own Bitcoin. Contrast this with the 314 million people who have used AI tools as per data from Statista. ChatGPT alone has millions of users per day. Probably more than the entire Bitcoin blockchain combined! What’s more? AI amassed the bulk of these users in less than a year. This feels wrong. Bitcoin took years to grow. People sweated, lost, DCA’d, had faith. Maybe that’s it. ChatGPT has grown too fast. Now it has slowed down and everybody is sour. Sorry, ya’ll, there is still work to do. AGI will not be so easy to grasp, and GPT scientists should learn to hodl like Bitcoiners. Winter will come and go, but right now, it is time to pay the piper. Winter(Physics) is Coming It now looks like Large Language Models running on the GPT technology may be nearing a plateau in their development. This is from popular Physicist Dr. Sabine Hossenfelder’s latest YouTube video. https://www.youtube.com/watch?v=AqwSZEQkknU&embedable=true https://www.youtube.com/watch?v=AqwSZEQkknU&embedable=true Dr. Sabine cites a couple of sources, including Bill Gates, who said last year that GPT 5 won’t be much better than GPT 4. And Prof. Gary Marcus says he has been drumming this particular beat for years. This goes against all the Ray Kurzweilian hype by Sam Altman and Ilya Sutskever as seen in the video. said last year says But if merely beautiful mathematics won’t spur the progress of Physics, as Dr. Sabine always reminds us, then merely wishful group-thinking won’t give us a superhuman artificial general intelligence (AGI). Why isn’t throwing as much data, computing power, and human supervision as can be afforded, going to birth us a superhuman AGI? Dr. Sabine has a ready answer. The problem, she explains, is the Decoupling of Scales . Decoupling of Scales The Decoupling of Scales The world is broken up into scales. In the physical world, there is the scale of land animals like us humans. Then below that we have microbes, then molecules, atoms, and subatomic particles. In the opposite direction, we have aircraft and skyscrapers, mountains, planets, stars, solar systems, galaxies, etc. In the world of data, we have high-resolution data e.g. categories like “objects that can be touched”, “animals”, “cats”. Then low-resolution data to further expand the above categories e.g. “cat species”, “cat patterns”, “cat behavior at 8:00 am on Monday,” etc. There are other taxonomies, however. Some data is online and some is offline in books, papers, and people’s minds. We may have all the knowledge we desire at the high-resolution scale of human language creation on the internet . But that doesn’t equate to the much bigger, low-resolution data source that is human language creation in the world . human language creation on the internet human language creation in the world Thus, Sam Altman’s AI is like Aristotle in the image below. Hoping to discover the Standard Model of Physics by looking at his hand. But without something like the Large Hadron Collider to poke subatomic particles and see the strange new data hiding within, Aristotle is at a loss on how to proceed. A Large Hadron Collider for AI GPT architecture, unveiled to the world only 2 years ago with the phenomenal ChatGPT, is likely nearing the end of its “improvement-ness”. Perhaps it is time to seriously consider passing the baton, and the VC funding, to something else. I am rooting for thermodynamic computing , currently being explored by companies like Extropic, which works by leveraging thermal noise to create random samples of data as in Stable Diffusion technology, then denoising using statistical analysis. thermodynamic computing In fact, in any neural network, the initial weights are usually initialized with random noise. During training, backpropagation shapes the final weights from this random noise - writes Laszlo Fazekas. in any neural network , the initial weights are usually initialized with random noise. During training, backpropagation shapes the final weights from this random noise - neural network backpropagation The advantage lies in the chips operating at scales smaller than those of traditional digital computing, where quantum effects result in abundant thermal noise. Thermal noise has always been plenty, anyway. My kitchen stove is full of thermal noise. The real problem has always been how to understand it better through statistical chunking of its data, without throwing away data during regression analysis. My guess? Some sort of massive cloud computational AI training leveraging smartphones, bitcoin nodes, TV sets, radios, name it. Currently, allowing the AI some “thinking time'“ so that it runs longer inferences on the same data, is how AI companies are squeezing out some more juice. For example with ChatGPT’s o1 model. But maybe even training time should be extended. Maybe to get great AI, like a child, it needs decades of training from data collected from all over. Collected and slowly siphoned into a condensed AI model in a few servers. Sam Altman might need those trillions of government dollars for such a plan. Alas, they will likely not be easy to get. The D.O.G.E might not bankroll him (if xAI is suffering the same troubles). Meanwhile, Bitcoin is still growing As the above graphic shows, very few people are using Bitcoin. Yet it is already at $90k . already at $90k Data from Bitbo shows that in fact, only 400,000 people are using Bitcoin daily. And only 106 million own Bitcoin. Bitbo Contrast this with the 314 million people who have used AI tools as per data from Statista . ChatGPT alone has millions of users per day . Probably more than the entire Bitcoin blockchain combined! data from Statista has millions of users per day What’s more? AI amassed the bulk of these users in less than a year. This feels wrong. Bitcoin took years to grow. People sweated, lost, DCA’d, had faith. Maybe that’s it. ChatGPT has grown too fast. Now it has slowed down and everybody is sour. Sorry, ya’ll, there is still work to do. AGI will not be so easy to grasp, and GPT scientists should learn to hodl like Bitcoiners. Winter will come and go, but right now, it is time to pay the piper.

The AI Winter is Near, Courtesy of Physics

Der KI-Winter steht vor der Tür, mit freundlicher Genehmigung der Physik

El invierno de la IA se acerca, cortesía de la física

به لطف فیزیک، زمستان هوش مصنوعی نزدیک است

Tekoälytalvi on lähellä, fysiikan luvalla

एआई शीतकाल निकट है, भौतिकी के सौजन्य से

物理学のおかげでAIの冬が近づいている

AI қысы жақын, физиканың рұқсатымен

Зима искусственного интеллекта уже близко. Предоставлено Physics

Iyo AI Chando Yava Pedyo, Nekuda kweFizikisi

Dimri i AI është afër, me mirësjellje të fizikës

AI குளிர்காலம் அருகில் உள்ளது, இயற்பியல் உபயம்

AI qishi yaqin, fizika izni bilan

The Bitcoin Blockchain in Five Hundred Years is Reputation DNA 

በአምስት መቶ ዓመታት ውስጥ ያለው የ Bitcoin Blockchain መልካም ስም ዲ ኤን ኤ ነው። 

Bitcoin Blockchain ukax phisqa patak maranakanx Reputación ADN ukawa 

Блокчэйн біткойнаў праз пяцьсот гадоў - гэта ДНК рэпутацыі 

Bitcoin Blockchain za pět set let je DNA reputace 

La cadena de bloques de Bitcoin en quinientos años es el ADN de la reputación

500年後のビットコインブロックチェーンは評判のDNA

500년 후의 비트코인 블록체인은 평판 DNA입니다.

Bitcoin Blockchain dalam Lima Ratus Tahun ialah DNA Reputasi 

Bitcoin Blockchain ka Mengwaga ye Makgolo a Mahlano ke DNA ya Botumo 

Bitcoin Blockchain za pięćset lat to DNA reputacji

Inzira ya Bitcoin mumyaka magana atanu ni ADN izwi 

Блокчейн біткойн за п’ятсот років – це ДНК репутації 

Exploring Drone Dynamics: Stability and Force Generation in Multimedia Design

Minimal Knowledge PT-AE Attacks on Black-Box Speaker Recognition Models

HAMILTON K. FISKER AGAIN

Day 9: Smooth Scroll with Scrollable Cards! 🎴 For the ninth post of the #30DaysOfSwift series, let's learn Scrollable Cards in SwiftUI. Scrollable cards or stacks are perfect for showcasing content in a visually appealing, swipeable format. Let’s build a horizontally scrolling stack of cards that showcases different content! Steps to Create Scrollable Cards: 1. Set Up the Scrollable Card Layout: We’ll use a ScrollView with a horizontal axis and a set of custom cards that users can swipe through. import SwiftUI

struct ScrollableCardsView: View {
    let items = [
        CardItem(title: "SwiftUI Essentials", image: "swift"),
        CardItem(title: "Mastering Combine", image: "combine"),
        CardItem(title: "iOS Animations", image: "animation"),
        CardItem(title: "Networking with URLSession", image: "network")
    ]
    
    var body: some View {
        VStack(alignment: .leading) {
            Text("Trending Courses")
                .font(.largeTitle)
                .fontWeight(.bold)
                .padding(.leading)

            ScrollView(.horizontal, showsIndicators: false) {
                HStack(spacing: 20) {
                    ForEach(items) { item in
                        CardView(item: item)
                            .frame(width: 300, height: 200)
                            .shadow(radius: 5)
                    }
                }
                .padding()
            }
        }
    }
}

struct CardView: View {
    let item: CardItem

    var body: some View {
        ZStack {
            Image(item.image)
                .resizable()
                .aspectRatio(contentMode: .fill)
                .frame(width: 300, height: 200)
                .clipped()
            
            VStack {
                Spacer()
                Text(item.title)
                    .font(.headline)
                    .padding()
                    .frame(maxWidth: .infinity)
                    .background(Color.black.opacity(0.7))
                    .foregroundColor(.white)
            }
        }
        .cornerRadius(15)
    }
}

struct CardItem: Identifiable {
    var id = UUID()
    var title: String
    var image: String
}

struct ContentView: View {
    var body: some View {
        ScrollableCardsView()
    }
} How does it look for you? Let me know! Happy Coding! Day 9: Smooth Scroll with Scrollable Cards! 🎴 Day 9: Smooth Scroll with Scrollable Cards! For the ninth post of the #30DaysOfSwift series, let's learn Scrollable Cards in SwiftUI. Scrollable cards or stacks are perfect for showcasing content in a visually appealing, swipeable format. Let’s build a horizontally scrolling stack of cards that showcases different content! Steps to Create Scrollable Cards: 1. Set Up the Scrollable Card Layout: 1. Set Up the Scrollable Card Layout: We’ll use a ScrollView with a horizontal axis and a set of custom cards that users can swipe through. We’ll use a ScrollView with a horizontal axis and a set of custom cards that users can swipe through. import SwiftUI

struct ScrollableCardsView: View {
    let items = [
        CardItem(title: "SwiftUI Essentials", image: "swift"),
        CardItem(title: "Mastering Combine", image: "combine"),
        CardItem(title: "iOS Animations", image: "animation"),
        CardItem(title: "Networking with URLSession", image: "network")
    ]
    
    var body: some View {
        VStack(alignment: .leading) {
            Text("Trending Courses")
                .font(.largeTitle)
                .fontWeight(.bold)
                .padding(.leading)

            ScrollView(.horizontal, showsIndicators: false) {
                HStack(spacing: 20) {
                    ForEach(items) { item in
                        CardView(item: item)
                            .frame(width: 300, height: 200)
                            .shadow(radius: 5)
                    }
                }
                .padding()
            }
        }
    }
}

struct CardView: View {
    let item: CardItem

    var body: some View {
        ZStack {
            Image(item.image)
                .resizable()
                .aspectRatio(contentMode: .fill)
                .frame(width: 300, height: 200)
                .clipped()
            
            VStack {
                Spacer()
                Text(item.title)
                    .font(.headline)
                    .padding()
                    .frame(maxWidth: .infinity)
                    .background(Color.black.opacity(0.7))
                    .foregroundColor(.white)
            }
        }
        .cornerRadius(15)
    }
}

struct CardItem: Identifiable {
    var id = UUID()
    var title: String
    var image: String
}

struct ContentView: View {
    var body: some View {
        ScrollableCardsView()
    }
} import SwiftUI

struct ScrollableCardsView: View {
    let items = [
        CardItem(title: "SwiftUI Essentials", image: "swift"),
        CardItem(title: "Mastering Combine", image: "combine"),
        CardItem(title: "iOS Animations", image: "animation"),
        CardItem(title: "Networking with URLSession", image: "network")
    ]
    
    var body: some View {
        VStack(alignment: .leading) {
            Text("Trending Courses")
                .font(.largeTitle)
                .fontWeight(.bold)
                .padding(.leading)

            ScrollView(.horizontal, showsIndicators: false) {
                HStack(spacing: 20) {
                    ForEach(items) { item in
                        CardView(item: item)
                            .frame(width: 300, height: 200)
                            .shadow(radius: 5)
                    }
                }
                .padding()
            }
        }
    }
}

struct CardView: View {
    let item: CardItem

    var body: some View {
        ZStack {
            Image(item.image)
                .resizable()
                .aspectRatio(contentMode: .fill)
                .frame(width: 300, height: 200)
                .clipped()
            
            VStack {
                Spacer()
                Text(item.title)
                    .font(.headline)
                    .padding()
                    .frame(maxWidth: .infinity)
                    .background(Color.black.opacity(0.7))
                    .foregroundColor(.white)
            }
        }
        .cornerRadius(15)
    }
}

struct CardItem: Identifiable {
    var id = UUID()
    var title: String
    var image: String
}

struct ContentView: View {
    var body: some View {
        ScrollableCardsView()
    }
} How does it look for you? Let me know! Happy Coding!

Scrollable Cards in iOS 18 - #30DaysOfSwift

Virtual credit cards are rapidly gaining popularity for their enhanced security in the digital marketplace. By generating unique card numbers for each transaction, they effectively shield your actual card information from potential breaches, significantly reducing the risk of fraud. Two major players in this arena are Chase, a leading financial institution, and Privacy, a dedicated virtual card provider. This article compares these two options, exploring their features and key differences to help you decide which virtual card is perfect for your online shopping needs. Understanding Virtual Credit Cards Virtual credit cards are digital representations of your actual credit card. They come with a unique card number, expiration date, and CVV code, just like a physical card. However, unlike physical cards, you can generate multiple virtual cards for different purposes, set spending limits, and even close them instantly if you suspect fraudulent activity. Gareth Boyd, Head of Growth at Credit Card Compare, emphasizes the growing demand for virtual credit cards: "Virtual credit cards offer enhanced security for online transactions, making them increasingly popular among consumers. Privacy's standalone service offers flexibility for users across multiple banks, potentially making it a more versatile choice for those seeking a dedicated virtual card solution”. Key Features: What Sets Them Apart Privacy: This platform stands out by offering a consumer-centric virtual card solution with unique card numbers, customizable spending limits, and even expiration dates for each card. This level of control and customization is a valuable asset for frequent online shoppers or those who prioritize security across various platforms. For instance, you could create a virtual card with a specific spending limit for your monthly streaming subscriptions, ensuring you never overspend on entertainment. Chase: While Chase initially offered virtual card numbers primarily for business credit card accounts, they have now expanded their services to include virtual cards for personal accounts through their digital wallet feature. This is a significant advantage for existing Chase customers because it allows for seamless integration with their current accounts. Security and Control: Safeguarding Your Finances Both Chase and Privacy virtual cards provide a crucial layer of security by masking your real card number during online transactions. However, Privacy goes the extra mile by offering granular control with individual spending limits for each virtual card, the ability to pause or close cards instantly, and the option to block specific merchant categories. This means you could create a virtual card exclusively for gas station purchases with a set monthly limit, effectively protecting yourself from unauthorized charges or overspending. Jason Wise, Editor at Earthweb, highlights the transformative impact of virtual cards on consumer protection: "By generating unique card numbers for each transaction, virtual cards are revolutionizing consumer protection by significantly reducing the risk of fraud and unauthorized charges when shopping online. This added layer of protection not only gives consumers peace of mind but also allows them to shop confidently across various online platforms without exposing their actual card details." Convenience and Accessibility: Managing Your Virtual Cards Privacy boasts a user-friendly browser extension and a mobile app that simplifies card creation and management. You can generate a new virtual card number within seconds, directly from your browser or phone, whenever the need arises. Similarly, Chase's virtual cards are now readily accessible through their mobile banking app, making it convenient for customers to create and manage their virtual cards on the go. Additional Features: Beyond the Basics Chase's virtual cards for businesses often integrate with expense management tools, simplifying the tracking and reconciliation of business expenses. On the other hand, Privacy's unique "burner card" feature automatically closes the card after a single use, offering maximum security for one-time purchases. This feature is particularly useful when trying out a new online store with uncertain security practices. Cost Considerations: Free vs. Premium Privacy offers a free plan with basic features and paid plans with additional benefits, such as cashback rewards and priority customer support. Chase's virtual cards are typically free for existing customers, making them a cost-effective option for those already banking with Chase. The Verdict: Choosing the Right Card for You While both Chase and Privacy offer robust virtual card solutions, the best choice ultimately depends on your unique needs and preferences. Choose Chase if: You are an existing Chase customer.
You prioritize seamless integration with your Chase accounts.
You are primarily interested in basic security features.
You prefer the free virtual card option. Choose privacy if: You want maximum flexibility and customization.
You require advanced security features like merchant category blocking.
You are not tied to a specific financial institution.
You are willing to pay for premium features like cashback rewards. By carefully considering these factors, you can confidently select the virtual credit card that best aligns with your online shopping habits and security priorities, ensuring a safe and seamless online shopping experience. Virtual credit cards are rapidly gaining popularity for their enhanced security in the digital marketplace. By generating unique card numbers for each transaction, they effectively shield your actual card information from potential breaches, significantly reducing the risk of fraud. Two major players in this arena are Chase, a leading financial institution, and Privacy, a dedicated virtual card provider. This article compares these two options, exploring their features and key differences to help you decide which virtual card is perfect for your online shopping needs. Understanding Virtual Credit Cards Virtual credit cards are digital representations of your actual credit card. They come with a unique card number, expiration date, and CVV code, just like a physical card. However, unlike physical cards, you can generate multiple virtual cards for different purposes, set spending limits, and even close them instantly if you suspect fraudulent activity. Gareth Boyd , Head of Growth at Credit Card Compare, emphasizes the growing demand for virtual credit cards: Gareth Boyd Gareth Boyd "Virtual credit cards offer enhanced security for online transactions, making them increasingly popular among consumers. Privacy's standalone service offers flexibility for users across multiple banks, potentially making it a more versatile choice for those seeking a dedicated virtual card solution”. "Virtual credit cards offer enhanced security for online transactions, making them increasingly popular among consumers. Privacy's standalone service offers flexibility for users across multiple banks, potentially making it a more versatile choice for those seeking a dedicated virtual card solution”. "Virtual credit cards offer enhanced security for online transactions, making them increasingly popular among consumers. Privacy's standalone service offers flexibility for users across multiple banks, potentially making it a more versatile choice for those seeking a dedicated virtual card solution”. Key Features: What Sets Them Apart Privacy: This platform stands out by offering a consumer-centric virtual card solution with unique card numbers, customizable spending limits, and even expiration dates for each card. This level of control and customization is a valuable asset for frequent online shoppers or those who prioritize security across various platforms. For instance, you could create a virtual card with a specific spending limit for your monthly streaming subscriptions, ensuring you never overspend on entertainment. Chase: While Chase initially offered virtual card numbers primarily for business credit card accounts, they have now expanded their services to include virtual cards for personal accounts through their digital wallet feature. This is a significant advantage for existing Chase customers because it allows for seamless integration with their current accounts. Security and Control: Safeguarding Your Finances Both Chase and Privacy virtual cards provide a crucial layer of security by masking your real card number during online transactions. However, Privacy goes the extra mile by offering granular control with individual spending limits for each virtual card, the ability to pause or close cards instantly, and the option to block specific merchant categories. This means you could create a virtual card exclusively for gas station purchases with a set monthly limit, effectively protecting yourself from unauthorized charges or overspending. Jason Wise , Editor at Earthweb, highlights the transformative impact of virtual cards on consumer protection: Jason Wise Jason Wise "By generating unique card numbers for each transaction, virtual cards are revolutionizing consumer protection by significantly reducing the risk of fraud and unauthorized charges when shopping online. This added layer of protection not only gives consumers peace of mind but also allows them to shop confidently across various online platforms without exposing their actual card details." "By generating unique card numbers for each transaction, virtual cards are revolutionizing consumer protection by significantly reducing the risk of fraud and unauthorized charges when shopping online. This added layer of protection not only gives consumers peace of mind but also allows them to shop confidently across various online platforms without exposing their actual card details." Convenience and Accessibility: Managing Your Virtual Cards Privacy boasts a user-friendly browser extension and a mobile app that simplifies card creation and management. You can generate a new virtual card number within seconds, directly from your browser or phone, whenever the need arises. Similarly, Chase's virtual cards are now readily accessible through their mobile banking app, making it convenient for customers to create and manage their virtual cards on the go. Additional Features: Beyond the Basics Chase's virtual cards for businesses often integrate with expense management tools, simplifying the tracking and reconciliation of business expenses. On the other hand, Privacy's unique "burner card" feature automatically closes the card after a single use, offering maximum security for one-time purchases. This feature is particularly useful when trying out a new online store with uncertain security practices. Cost Considerations: Free vs. Premium Privacy offers a free plan with basic features and paid plans with additional benefits, such as cashback rewards and priority customer support. Chase's virtual cards are typically free for existing customers, making them a cost-effective option for those already banking with Chase. The Verdict: Choosing the Right Card for You While both Chase and Privacy offer robust virtual card solutions, the best choice ultimately depends on your unique needs and preferences. Choose Chase if: You are an existing Chase customer. You prioritize seamless integration with your Chase accounts. You are primarily interested in basic security features. You prefer the free virtual card option. You are an existing Chase customer. You prioritize seamless integration with your Chase accounts. You are primarily interested in basic security features. You prefer the free virtual card option. Choose privacy if: You want maximum flexibility and customization. You require advanced security features like merchant category blocking. You are not tied to a specific financial institution. You are willing to pay for premium features like cashback rewards. You want maximum flexibility and customization. You require advanced security features like merchant category blocking. You are not tied to a specific financial institution. You are willing to pay for premium features like cashback rewards. By carefully considering these factors, you can confidently select the virtual credit card that best aligns with your online shopping habits and security priorities, ensuring a safe and seamless online shopping experience.

Chase vs. Privacy Virtual Credit Cards: Which One is Right for You?

How to Implement Real-Time Credit Card Fraud Detection With Apache Flink on AWS

**DUBAI, United Arab Emirates, June 26th, 2024/Chainwire/--**Bybit, the world’s second-largest crypto exchange by trading volume, announces that Bybit Card brings its customers Apple Pay, a safer, more secure and private way to pay that helps customers avoid handing their payment card to someone else, touching physical buttons or exchanging cash — and uses the power of iPhone to protect every transaction. Customers can hold their iPhone or Apple Watch near a payment terminal to make a contactless payment. Every Apple Pay purchase is secure because it is authenticated with Face ID, Touch ID, or device passcode, as well as a one-time unique dynamic security code. Apple Pay is accepted in grocery stores, pharmacies, taxis, restaurants, coffee shops, retail stores, and many more places. Customers can also use Apple Pay on iPhone, iPad, and Mac to make faster and more convenient purchases in apps or on the web in Safari without having to create accounts or repeatedly type in shipping and billing information. Apple Pay makes it easier to pay for food and grocery deliveries, online shopping, transportation, and parking, among other things. Apple Pay can also be used to make payments in apps on Apple Watch. Security and privacy are at the core of Apple Pay. When customers use a credit or debit card with Apple Pay, the actual card numbers are not stored on the device, nor on Apple servers. Instead, a unique Device Account Number is assigned, encrypted, and securely stored in the Secure Element, an industry-standard, certified chip designed to store the payment information safely on the device. Apple Pay can be set on an iPhone by opening the Wallet app, tapping, and following the steps to add Bybit’s credit or debit cards. Once a customer adds a card to iPhone, Apple Watch, iPad, and Mac, they can start using Apple Pay on that device right away. Customers will continue to receive all of the potential rewards and benefits offered by Bybit Card.  For more information on Apple Pay, users can visit: http://www.apple.com/apple-pay/ For more information on Bybit Card, users can visit here. About Bybit Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving over 33 million users. Established in 2018, Bybit provides a professional platform where crypto investors and traders can find an ultra-fast matching engine, 24/7 customer service, and multilingual community support. Bybit is a proud partner of Formula One’s reigning Constructors’ and Drivers’ champions: the Oracle Red Bull Racing team. Contact Head of PR Tony Au Bybit tony.au@bybit.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **DUBAI, United Arab Emirates, June 26th, 2024/Chainwire/--**Bybit, the world’s second-largest crypto exchange by trading volume, announces that Bybit Card brings its customers Apple Pay, a safer, more secure and private way to pay that helps customers avoid handing their payment card to someone else, touching physical buttons or exchanging cash — and uses the power of iPhone to protect every transaction. Customers can hold their iPhone or Apple Watch near a payment terminal to make a contactless payment. Every Apple Pay purchase is secure because it is authenticated with Face ID, Touch ID, or device passcode, as well as a one-time unique dynamic security code. Apple Pay is accepted in grocery stores, pharmacies, taxis, restaurants, coffee shops, retail stores, and many more places. Customers can also use Apple Pay on iPhone, iPad, and Mac to make faster and more convenient purchases in apps or on the web in Safari without having to create accounts or repeatedly type in shipping and billing information. Apple Pay makes it easier to pay for food and grocery deliveries, online shopping, transportation, and parking, among other things. Apple Pay can also be used to make payments in apps on Apple Watch. Security and privacy are at the core of Apple Pay. When customers use a credit or debit card with Apple Pay, the actual card numbers are not stored on the device, nor on Apple servers. Instead, a unique Device Account Number is assigned, encrypted, and securely stored in the Secure Element, an industry-standard, certified chip designed to store the payment information safely on the device. Apple Pay can be set on an iPhone by opening the Wallet app, tapping, and following the steps to add Bybit’s credit or debit cards. Once a customer adds a card to iPhone, Apple Watch, iPad, and Mac, they can start using Apple Pay on that device right away. Customers will continue to receive all of the potential rewards and benefits offered by Bybit Card.  For more information on Apple Pay, users can visit: http://www.apple.com/apple-pay/ http://www.apple.com/apple-pay/ http://www.apple.com/apple-pay/ For more information on Bybit Card, users can visit here . here here About Bybit Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving over 33 million users. Established in 2018, Bybit provides a professional platform where crypto investors and traders can find an ultra-fast matching engine, 24/7 customer service, and multilingual community support. Bybit is a proud partner of Formula One’s reigning Constructors’ and Drivers’ champions: the Oracle Red Bull Racing team. Bybit Bybit Contact Head of PR Tony Au Bybit tony.au@bybit.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

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