Usage AI

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How Artificial Intelligence Can Make Our Smart Homes, Smarter

কীভাবে কৃত্রিম বুদ্ধিমত্তা আমাদের স্মার্ট হোমগুলিকে আরও স্মার্ট করে তুলতে পারে

Wie künstliche Intelligenz unsere Smart Homes intelligenter machen kann

Cómo la inteligencia artificial puede hacer que nuestras casas inteligentes sean más inteligentes

Comment l’intelligence artificielle peut rendre nos maisons intelligentes plus intelligentes

आर्टिफिशियल इंटेलिजेंस कैसे हमारे स्मार्ट घरों को और भी स्मार्ट बना सकता है

人工知能がスマートホームをさらにスマートにする方法

인공 지능이 스마트 홈을 더욱 스마트하게 만드는 방법

Como a inteligência artificial pode tornar nossas casas inteligentes mais inteligentes

Как искусственный интеллект может сделать наши умные дома умнее

Yapay Zeka Akıllı Evlerimizi Nasıl Daha Akıllı Hale Getirebilir?

Trí tuệ nhân tạo có thể làm cho ngôi nhà thông minh của chúng ta trở nên thông minh hơn như thế nào

人工智能如何让我们的智能家居更加智能

AI-generated content has taken a rise with the emergence of Artificial Intelligence in the content industry. Creating high-quality content is certainly no walk in the park. It is a comprehensive journey for any content writer. It involves brainstorming ideas, drafting & crafting content, polishing it to perfection, and finally hitting the publish button. These are behind-the-scenes things for any top-notch content you see on the web. The entire process of creating content can take a significant amount of time, from weeks to months. The rise of the Internet has remarkably transformed the media landscape, laying a strong foundation for millions of content creators. They have shaped the creator economy space, bringing a revolution in marketing and business strategies. As a result, brands today rely on these popular content creators to spread their brand awareness. Moreover, with the emergence of Artificial Intelligence (AI), the speed of content creation has accelerated with more efficiency and accuracy. It has opened new ways of creating content in a short span without compromising the quality. But there are pros and cons to all new technologies that come our way. Let us dive into these and find out how AI has impacted content creation and what the future holds for AI-generated content. Impact of AI on Content: Apart from accelerating the content creation process, AI enables content creators to enhance the consistency and accuracy of their work. With the help of AI, you can get precise data analysis and insights to create content strategies. Additionally, it helps optimize the content for search engines, with easy-to-understand writing for the target audience. Overall, AI has enhanced the speed of content creation with utmost accuracy and consistency. As they say, everything has two sides; this technology also has its downsides. The biggest drawback of AI is that it has affected human employment in business. Present Landscape and Future Outlook: AI-generated content has become omnipresent in the current media landscape, which is not baseless. From the early jumbled images and text, it transformed into refined and hard-to-detect AI content. We encounter this content in our daily lives. Reading and viewing these articles, images, and videos, any responsible editor or consumer prompts a question: Did a human create them? Additionally, AI offers full-fledged and helpful editing and rewording tools to produce content that manipulates Google’s search engine optimization algorithms. Thus, it has become an integral part of Google’s search results forever. The research analysis from April 22, 2024, reveals a significant increase in the prevalence of AI-generated content in Google's search results. Additionally, a study conducted on March 23, 2024, indicated that 10.2% of Google's top-ranked content was purportedly AI-generated. The most recent examination shows a further rise, with AI-generated content now accounting for 11.3% of the total. As a result, it shows an evident acceleration of AI content integration into Google’s search results. Within just a month, a substantial increase in the presence of AI-generated content is observed. An Overview Of Google Update's March 2024 AI Content Manual Action Update:  In March 2024, Google introduced an update to penalize several practices: Scaled Content Abuse: Targeting publishers of large-scale spam content, irrespective of AI usage.
Expired Domain Abuse: Addressing the misuse of expired domains for SEO advantages.
Site Reputation Abuse: Focusing on websites manipulating search engines by selectively publishing Barnacle SEO articles. This update aims to diminish unhelpful content online, fostering the dissemination of useful and high-quality content for users. When Google discovers that a website is not following its policies, it has the authority to take "manual action," which may involve deindexing—the complete removal of the website from its search results. Essential Insights on Google's E-E-A-T Framework: What is E-E-A-T? It stands for Experience, Expertise, Authority, and Trust, wherein, Experience stands for creating distinctive content by leveraging personal experiences.
Expertise means providing high-quality writing from industry experts.
Authority indicates delivering exceptional writing crafted by experts in the industry.
Trust means Building credibility, enhancing user satisfaction, and raising the standard of a website. In a December 2022 Google update, the Experience component was included to enhance and expand the user experience while evaluating the quality of a website. E-E-A-T is beyond writing high-quality content and content marketing. It means Google’s algorithms will scrutinize HTTPS to ensure that the website is mobile responsive, it has an organic backlink profile, and that your authors hold sufficient experience. It will connect entities and knowledge graphs from the collected information on the Internet. Prioritizing E-A-T is essential for improving the credibility and excellence of your website, which can consequently boost its ranking on Google's search engine. This is especially true when you focus on generating informative blog content for your audience rather than solely catering to search engine algorithms. Google’s Policy on AI-Generated Content: Google rigorously follows the E-E-A-T framework, which emphasizes experience, expertise, authority, and trustworthiness, giving preference to exceptional and original content. Google maintains a consistent position on AI and automated content, especially regarding their potential to manipulate search results, resulting in penalties for spam violations regardless of the content's AI origin. Furthermore, Google underscores that not all AI-generated content constitutes spam. When utilized appropriately, it has the potential to generate valuable content that enhances user experience through its authority, uniqueness, and quality. As part of its long-standing commitment to provide consumers with dependable, high-quality results, Google has built its ranking systems to show content that satisfies its quality standards regardless of how it was produced. Google's methods are designed to show users the most relevant and significant results while adhering to the E-A-T criteria. As a result, employing AI to produce content that complies with these guidelines may help rankings. AI Remains a Valuable Tool for Content Creation: Reevaluating the role of artificial intelligence (AI) in web content creation may be essential, given the large number of websites using AI-generated content that will be subject to manual actions during the main algorithm update in March 2024. AI remains a viable tool for crafting outstanding content that prioritizes user needs. In content, it's the quality of insight that matters most, rather than the identity of the author or the attribution. Moreover, leveraging a blend of human expertise and knowledge as input data for AI to generate content could offer a promising path. Wrapping Up: With its opportunities and challenges, AI has transformed businesses’ online visibility. If appropriately utilized, complying with Google’s guidelines, AI can help you boost your online presence and engagement with your audience. With the constantly evolving technology, keeping abreast of and adapting to changes in AI and search engine algorithms is wise. It will help you maintain your online credibility and visibility. AI-generated content has taken a rise with the emergence of Artificial Intelligence in the content industry. Creating high-quality content is certainly no walk in the park. It is a comprehensive journey for any content writer. It involves brainstorming ideas, drafting & crafting content, polishing it to perfection, and finally hitting the publish button. These are behind-the-scenes things for any top-notch content you see on the web. The entire process of creating content can take a significant amount of time, from weeks to months. The rise of the Internet has remarkably transformed the media landscape, laying a strong foundation for millions of content creators. They have shaped the creator economy space, bringing a revolution in marketing and business strategies. As a result, brands today rely on these popular content creators to spread their brand awareness. Moreover, with the emergence of Artificial Intelligence (AI), the speed of content creation has accelerated with more efficiency and accuracy. It has opened new ways of creating content in a short span without compromising the quality. But there are pros and cons to all new technologies that come our way. Let us dive into these and find out how AI has impacted content creation and what the future holds for AI-generated content. Impact of AI on Content: Impact of AI on Content: Apart from accelerating the content creation process, AI enables content creators to enhance the consistency and accuracy of their work. With the help of AI, you can get precise data analysis and insights to create content strategies. Additionally, it helps optimize the content for search engines, with easy-to-understand writing for the target audience. Overall, AI has enhanced the speed of content creation with utmost accuracy and consistency. As they say, everything has two sides; this technology also has its downsides. The biggest drawback of AI is that it has affected human employment in business. Present Landscape and Future Outlook: Present Landscape and Future Outlook: AI-generated content has become omnipresent in the current media landscape, which is not baseless. From the early jumbled images and text, it transformed into refined and hard-to-detect AI content. We encounter this content in our daily lives. Reading and viewing these articles, images, and videos, any responsible editor or consumer prompts a question: Did a human create them? Additionally, AI offers full-fledged and helpful editing and rewording tools to produce content that manipulates Google’s search engine optimization algorithms. Thus, it has become an integral part of Google’s search results forever. The research analysis from April 22, 2024, reveals a significant increase in the prevalence of AI-generated content in Google's search results. Additionally, a study conducted on March 23, 2024, indicated that 10.2% of Google's top-ranked content was purportedly AI-generated. The most recent examination shows a further rise, with AI-generated content now accounting for 11.3% of the total. As a result, it shows an evident acceleration of AI content integration into Google’s search results. Within just a month, a substantial increase in the presence of AI-generated content is observed. An Overview Of Google Update's March 2024 AI Content Manual Action Update:  In March 2024, Google introduced an update to penalize several practices: Scaled Content Abuse: Targeting publishers of large-scale spam content, irrespective of AI usage. Expired Domain Abuse: Addressing the misuse of expired domains for SEO advantages. Site Reputation Abuse: Focusing on websites manipulating search engines by selectively publishing Barnacle SEO articles. Scaled Content Abuse : Targeting publishers of large-scale spam content, irrespective of AI usage. Scaled Content Abuse Expired Domain Abuse : Addressing the misuse of expired domains for SEO advantages. Expired Domain Abuse Site Reputation Abuse : Focusing on websites manipulating search engines by selectively publishing Barnacle SEO articles. Site Reputation Abuse This update aims to diminish unhelpful content online, fostering the dissemination of useful and high-quality content for users. When Google discovers that a website is not following its policies, it has the authority to take "manual action," which may involve deindexing—the complete removal of the website from its search results. Essential Insights on Google's E-E-A-T Framework: Essential Insights on Google's E-E-A-T Framework: What is E-E-A-T? It stands for Experience, Expertise, Authority, and Trust , wherein, Experience, Expertise, Authority, and Trust Experience stands for creating distinctive content by leveraging personal experiences. Expertise means providing high-quality writing from industry experts. Authority indicates delivering exceptional writing crafted by experts in the industry. Trust means Building credibility, enhancing user satisfaction, and raising the standard of a website. Experience stands for creating distinctive content by leveraging personal experiences. Experience Expertise means providing high-quality writing from industry experts. Expertise Authority indicates delivering exceptional writing crafted by experts in the industry. Authority Trust means Building credibility, enhancing user satisfaction, and raising the standard of a website. Trust In a December 2022 Google update, the Experience component was included to enhance and expand the user experience while evaluating the quality of a website. E-E-A-T is beyond writing high-quality content and content marketing. It means Google’s algorithms will scrutinize HTTPS to ensure that the website is mobile responsive, it has an organic backlink profile, and that your authors hold sufficient experience. It will connect entities and knowledge graphs from the collected information on the Internet. Prioritizing E-A-T is essential for improving the credibility and excellence of your website, which can consequently boost its ranking on Google's search engine. This is especially true when you focus on generating informative blog content for your audience rather than solely catering to search engine algorithms. Google’s Policy on AI-Generated Content: Google’s Policy on AI-Generated Content: Google rigorously follows the E-E-A-T framework, which emphasizes experience, expertise, authority, and trustworthiness, giving preference to exceptional and original content. Google maintains a consistent position on AI and automated content, especially regarding their potential to manipulate search results, resulting in penalties for spam violations regardless of the content's AI origin. Furthermore, Google underscores that not all AI-generated content constitutes spam. When utilized appropriately, it has the potential to generate valuable content that enhances user experience through its authority, uniqueness, and quality. As part of its long-standing commitment to provide consumers with dependable, high-quality results, Google has built its ranking systems to show content that satisfies its quality standards regardless of how it was produced. Google's methods are designed to show users the most relevant and significant results while adhering to the E-A-T criteria. As a result, employing AI to produce content that complies with these guidelines may help rankings. AI Remains a Valuable Tool for Content Creation: AI Remains a Valuable Tool for Content Creation: Reevaluating the role of artificial intelligence (AI) in web content creation may be essential, given the large number of websites using AI-generated content that will be subject to manual actions during the main algorithm update in March 2024. AI remains a viable tool for crafting outstanding content that prioritizes user needs. In content, it's the quality of insight that matters most, rather than the identity of the author or the attribution. Moreover, leveraging a blend of human expertise and knowledge as input data for AI to generate content could offer a promising path. Wrapping Up: Wrapping Up: With its opportunities and challenges, AI has transformed businesses’ online visibility. If appropriately utilized, complying with Google’s guidelines, AI can help you boost your online presence and engagement with your audience. With the constantly evolving technology, keeping abreast of and adapting to changes in AI and search engine algorithms is wise. It will help you maintain your online credibility and visibility.

AI-Generated Content vs. Google Search: Comprehensive Guide

Do You Have a Digital Twin? - The World of AI Generated Identities

আপনার কি ডিজিটাল টুইন আছে? - এআই জেনারেটেড আইডেন্টিটিসের বিশ্ব

Haben Sie einen digitalen Zwilling? – Die Welt der KI-generierten Identitäten

¿Tienes un gemelo digital? - El mundo de las identidades generadas por IA

Avez-vous un jumeau numérique ? - Le monde des identités générées par l'IA

क्या आपके पास डिजिटल ट्विन है? - AI जनरेटेड आइडेंटिटीज़ की दुनिया

デジタルツインをお持ちですか? - AI 生成 ID の世界

디지털 트윈이 있나요? - AI 생성 신원의 세계

Você tem um gêmeo digital? - O mundo das identidades geradas por IA

У вас есть цифровой двойник? - Мир личностей, созданных искусственным интеллектом

Dijital İkiziniz Var mı? - Yapay Zekanın Oluşturduğu Kimlikler Dünyası

Bạn có cặp song sinh kỹ thuật số không? - Thế giới danh tính do AI tạo ra

你有数字孪生吗？ - 人工智能生成身份的世界

With many institutions, publishers, and platforms using AI detectors to identify AI content, it is becoming extremely difficult to leverage AI writers for greater output and better productivity. Copyleaks is one of the most popular AI detection tools in the market, and there have been many users of AI writers who want to know how to bypass it effectively. This detailed guide will dive deeper into what you need to know about Copyleaks, the different ways to make your AI content undetectable by this tool, and even why it is important to bypass it. From using an AI bypasser to making manual revisions to the AI content, this article can help ensure your AI workflow remains unaffected. So, let’s get right into it! What Do You Need To Know About Copyleaks? Founded in 2015 by Alon Yamin and Yehonatan Bitton, Copyleaks is a leading enterprise-level solution in AI text analysis and plagiarism detection. The startup was initially formed after its two founders met in the Israeli Defense Forces. It was there that they worked with cutting-edge text analysis technology to identify patterns across various forms of text. The advanced level of expertise they shared ultimately became the basis for Copyleaks, which initially started out as a plagiarism checker tool. In 2023, the company expanded its services to include AI content detection. With an alleged 99% accuracy rate, it quickly became popular among academic institutions, businesses, and online users. Copyleaks is also one of the first AI detectors that offered multilingual support across various languages such as French, Spanish, German, etc. It can also identify AI-generated source code and has extensive LMS and API integration capabilities. The platform even has a Chrome extension tool that helps verify content online. Ways To Bypass Copyleaks AI Detection? If you want to bypass Copyleaks AI detection, you will need to effectively humanize the AI content. In this regard, there are several strategies that you can use and each of these options varies in terms of ease and effectiveness. Let’s break them down in detail below. Use An Undetectable AI Tool If you want to know the simplest method to bypass Copyleaks, then what you need is an undetectable AI tool like BypassGPT. Unlike basic paraphrasing tools, this advanced AI platform is trained on vast datasets of human-written text. This enables it to effectively restructure and refine any AI content using natural and human-like writing styles. As a result, it can be relied on to produce human-like output that can bypass Copyleaks and other leading AI detection tools without fail. It is also able to humanize text from any LLM model, be it ChatGPT, GPT-4, Gemini, Jasper, etc. Moreover, any rewritten text is 100% plagiarism-free and it also ensures that any output retains the intent of the original message. Some of the main features and benefits that BypassGPT offers include: Features: Advanced AI detection remover that can produce 100% human score output
Built-in AI checkers that provide consolidated AI scores from leading AI detectors
Supports 50+ languages, which facilitate multilingual AI humanization Benefits: Can be relied on to bypass Copyleaks and other AI detectors without fail
Versatile enough to cater to any user, be it students, marketers, bloggers, etc.
Has a highly-intuitive interface and produces humanized results in seconds Aside from using an undetectable AI tool, there are other strategies that you can implement to help make your AI content sound more human. Some of these include: Limit AI Usage An effective way to make content undetectable is to avoid generating the whole piece using AI. Instead, you can use AI writers to help craft parts of the content but make an effort to write other parts like the introduction and conclusion yourself. Add A Human Touch Introducing elements like personal anecdotes, quotes, real-life examples, and stories can often help you bypass AI detection. These aspects can often help to introduce more personality into the text, which tricks the AI detector into detecting it as human. Implement Varied Word Usage AI-written content tends to use repetitive wording and phrasing, which can make the content very predictable. This is something most AI detectors can spot, which is why it helps to implement more varied vocabulary and sentence structures in the content. Be Descriptive With AI Prompts When generating AI content, it is not enough to simply ask the AI writer to produce an article. If you want it to sound more human-like, then you should describe the tone or style you want the content to be in, and provide other detailed instructions. Be More Concise One of the most obvious indicators of AI-generated content is the use of wordy sentences and overly-complex expressions. This can make your content daily detectable, which is why it often helps to shorten your sentences and keep the wording simple and concise. Using Idioms AI uses less idioms or colloquial phrases in their writing than human writers. Uses such phrases in the right places can help your writing sound more human, be more expressive, and easier to bypass Copyleaks AI detection. Use Pauses and Filler Words Humans often use pauses and filler words (like "um", "like", "so", etc.) in conversation. Including these in AI text can make it sound more natural, especially if you're writing your content in a conversational tone. Adapt to Your Brand Voice Are you using AI to write for your company? Does your company use a particular brand voice? If it does, then adapting your writing to the language your brand uses not only complies with your company guidelines, but also helps you humanize the text and make it bypass Copyleaks. Include Errors Add to text some punctuations or letters that are not supposed to be there. This breaks the AI flows that AI detectors often look for and helps your text avoid getting flagged as AI. But do it carefully – adding too many errors makes your content look less professional. Why Should You Bypass Copyleaks? For many people, bypassing AI detectors like Copyleaks is necessary because of the following reasons: Avoid SEO Penalties: Being able to bypass Copyleaks means that your content sounds human-like and engaging enough to satisfy Google’s content guidelines on AI usage. As a result, there is less risk of facing SEO penalties that could compromise your ranking performance on SERPs. Protect Your Reputation: AI writing tools may be frowned upon in certain professions and fields, bypassing Copyleaks can help to confirm that your AI content won’t be rejected, boosting its acceptance and visibility. Improve Writing Quality: The biggest problem with AI-written content is that the content quality tends to be generic, bland, and even boring. However, if you can humanize it and improve its quality to bypass Copyleaks, this does well to confirm that the content sounds natural and relatable enough to keep readers engaged. Conclusion AI content detectors are here to stay but it doesn’t mean they have to disrupt your AI writing workflow. While tools like Copyleaks are powerful, they can be outsmarted. You just need to know how. Luckily, this comprehensive guide sums up some of the most effective ways to bypass Copyleaks AI detection in detail. Each of these methods can improve your chances of getting past Copyleaks, so take the time to review them carefully. Our top suggestion would be to use BypassGPT to humanize AI content. It offers more reliable humanized results and it has a free plan, so you can test out its features and capabilities at no charge. This story was distributed as a release by MarGrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here. With many institutions, publishers, and platforms using AI detectors to identify AI content, it is becoming extremely difficult to leverage AI writers for greater output and better productivity. Copyleaks is one of the most popular AI detection tools in the market, and there have been many users of AI writers who want to know how to bypass it effectively. This detailed guide will dive deeper into what you need to know about Copyleaks, the different ways to make your AI content undetectable by this tool, and even why it is important to bypass it. From using an AI bypasser to making manual revisions to the AI content, this article can help ensure your AI workflow remains unaffected. So, let’s get right into it! What Do You Need To Know About Copyleaks? Founded in 2015 by Alon Yamin and Yehonatan Bitton, Copyleaks is a leading enterprise-level solution in AI text analysis and plagiarism detection. The startup was initially formed after its two founders met in the Israeli Defense Forces. It was there that they worked with cutting-edge text analysis technology to identify patterns across various forms of text. The advanced level of expertise they shared ultimately became the basis for Copyleaks, which initially started out as a plagiarism checker tool. In 2023, the company expanded its services to include AI content detection. With an alleged 99% accuracy rate , it quickly became popular among academic institutions, businesses, and online users. 99% accuracy rate 99% accuracy rate Copyleaks is also one of the first AI detectors that offered multilingual support across various languages such as French, Spanish, German, etc. It can also identify AI-generated source code and has extensive LMS and API integration capabilities. The platform even has a Chrome extension tool that helps verify content online. multilingual support multilingual support Ways To Bypass Copyleaks AI Detection? If you want to bypass Copyleaks AI detection, you will need to effectively humanize the AI content. In this regard, there are several strategies that you can use and each of these options varies in terms of ease and effectiveness. Let’s break them down in detail below. Use An Undetectable AI Tool If you want to know the simplest method to bypass Copyleaks, then what you need is an undetectable AI tool like BypassGPT . Unlike basic paraphrasing tools, this advanced AI platform is trained on vast datasets of human-written text. This enables it to effectively restructure and refine any AI content using natural and human-like writing styles. BypassGPT BypassGPT As a result, it can be relied on to produce human-like output that can bypass Copyleaks and other leading AI detection tools without fail. It is also able to humanize text from any LLM model, be it ChatGPT, GPT-4, Gemini, Jasper, etc. Moreover, any rewritten text is 100% plagiarism-free and it also ensures that any output retains the intent of the original message. Some of the main features and benefits that BypassGPT offers include: Features: Advanced AI detection remover that can produce 100% human score output Built-in AI checkers that provide consolidated AI scores from leading AI detectors Supports 50+ languages, which facilitate multilingual AI humanization Advanced AI detection remover that can produce 100% human score output Advanced AI detection remover Built-in AI checkers that provide consolidated AI scores from leading AI detectors Supports 50+ languages, which facilitate multilingual AI humanization Benefits: Can be relied on to bypass Copyleaks and other AI detectors without fail Versatile enough to cater to any user, be it students, marketers, bloggers, etc. Has a highly-intuitive interface and produces humanized results in seconds Can be relied on to bypass Copyleaks and other AI detectors without fail Versatile enough to cater to any user, be it students, marketers, bloggers, etc. Has a highly-intuitive interface and produces humanized results in seconds Aside from using an undetectable AI tool, there are other strategies that you can implement to help make your AI content sound more human. Some of these include: Limit AI Usage An effective way to make content undetectable is to avoid generating the whole piece using AI. Instead, you can use AI writers to help craft parts of the content but make an effort to write other parts like the introduction and conclusion yourself. Add A Human Touch Introducing elements like personal anecdotes, quotes, real-life examples, and stories can often help you bypass AI detection. These aspects can often help to introduce more personality into the text, which tricks the AI detector into detecting it as human. Implement Varied Word Usage AI-written content tends to use repetitive wording and phrasing, which can make the content very predictable. This is something most AI detectors can spot, which is why it helps to implement more varied vocabulary and sentence structures in the content. Be Descriptive With AI Prompts When generating AI content, it is not enough to simply ask the AI writer to produce an article. If you want it to sound more human-like, then you should describe the tone or style you want the content to be in, and provide other detailed instructions. Be More Concise One of the most obvious indicators of AI-generated content is the use of wordy sentences and overly-complex expressions. This can make your content daily detectable, which is why it often helps to shorten your sentences and keep the wording simple and concise. Using Idioms AI uses less idioms or colloquial phrases in their writing than human writers. Uses such phrases in the right places can help your writing sound more human, be more expressive, and easier to bypass Copyleaks AI detection. Use Pauses and Filler Words Humans often use pauses and filler words (like "um", "like", "so", etc.) in conversation. Including these in AI text can make it sound more natural, especially if you're writing your content in a conversational tone. Adapt to Your Brand Voice Are you using AI to write for your company? Does your company use a particular brand voice? If it does, then adapting your writing to the language your brand uses not only complies with your company guidelines, but also helps you humanize the text and make it bypass Copyleaks. Include Errors Add to text some punctuations or letters that are not supposed to be there. This breaks the AI flows that AI detectors often look for and helps your text avoid getting flagged as AI. But do it carefully – adding too many errors makes your content look less professional. Why Should You Bypass Copyleaks? For many people, bypassing AI detectors like Copyleaks is necessary because of the following reasons: Avoid SEO Penalties: Being able to bypass Copyleaks means that your content sounds human-like and engaging enough to satisfy Google’s content guidelines on AI usage. As a result, there is less risk of facing SEO penalties that could compromise your ranking performance on SERPs. Avoid SEO Penalties: Being able to bypass Copyleaks means that your content sounds human-like and engaging enough to satisfy Google’s content guidelines on AI usage. As a result, there is less risk of facing SEO penalties that could compromise your ranking performance on SERPs. Protect Your Reputation: AI writing tools may be frowned upon in certain professions and fields, bypassing Copyleaks can help to confirm that your AI content won’t be rejected, boosting its acceptance and visibility. Protect Your Reputation: AI writing tools may be frowned upon in certain professions and fields, bypassing Copyleaks can help to confirm that your AI content won’t be rejected, boosting its acceptance and visibility. Improve Writing Quality: The biggest problem with AI-written content is that the content quality tends to be generic, bland, and even boring. However, if you can humanize it and improve its quality to bypass Copyleaks, this does well to confirm that the content sounds natural and relatable enough to keep readers engaged. Improve Writing Quality: The biggest problem with AI-written content is that the content quality tends to be generic, bland, and even boring. However, if you can humanize it and improve its quality to bypass Copyleaks, this does well to confirm that the content sounds natural and relatable enough to keep readers engaged. Conclusion AI content detectors are here to stay but it doesn’t mean they have to disrupt your AI writing workflow. While tools like Copyleaks are powerful, they can be outsmarted. You just need to know how. Luckily, this comprehensive guide sums up some of the most effective ways to bypass Copyleaks AI detection in detail. Each of these methods can improve your chances of getting past Copyleaks, so take the time to review them carefully. Our top suggestion would be to use BypassGPT to humanize AI content. It offers more reliable humanized results and it has a free plan, so you can test out its features and capabilities at no charge. This story was distributed as a release by MarGrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here. This story was distributed as a release by MarGrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here. This story was distributed as a release by MarGrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here . here

How to Bypass Copyleaks AI Detection

কপিলিকস এআই সনাক্তকরণকে কীভাবে বাইপাস করবেন?

Wie umgeht man die KI-Erkennung von Copyleaks?

¿Cómo evitar la detección de IA de Copyleaks?

Comment contourner la détection AI Copyleaks ?

कॉपीलीक्स एआई डिटेक्शन को कैसे बायपास करें?

Copyleaks AI 検出を回避する方法は?

Copyleaks AI 탐지를 우회하는 방법은 무엇입니까?

Como ignorar a detecção de Copyleaks AI?

Как обойти обнаружение ИИ Copyleaks?

Copyleaks Yapay Zeka Tespiti Nasıl Atlanır?

Làm cách nào để vượt qua tính năng phát hiện AI của Copyleaks?

如何绕过 Copyleaks AI 检测？

(AI) has emerged as a game-changer in many industries. Predictive AI technology has helped reshape age-old processes, saving organizations time, money, and frustration. A litany of different organizations have leveraged AI solutions to streamline their operations and ultimately drive productivity, changing industries ranging from art to finance. Artificial intelligence While some have bemoaned the rise of AI, wringing their hands over a possible AI takeover, others have recognized the power of machine learning, algorithms, and computer vision to transform their jobs and allow them to get back to the innovating that truly moves the needle towards progress. AI for Boosting Productivity AI has proven to be a boon for productivity within many organizations. By automating repetitive tasks and allowing employees to focus on the parts of their jobs that carry higher value, AI paves the way for more creativity, innovation, and problem-solving. “By analyzing trends in task completion times and quality and assigning specific team members based on past performance and partnerships, AI encourages a culture of recognition and motivation,” says Brianna Van Zanten, Customer Success Manager at InCheq. “When workers' achievements are acknowledged through data-driven insights, it provides a tangible record of their individualistic abilities.” With more workers taking heed of the message of the Great Resignation and seeking work that is personally and professionally rewarding, utilizing AI to create a better work culture can help companies with talent retention and employee satisfaction, not to mention productivity. With actionable insights from performance data, AI can not only make the workplace better for the employees but also significantly improve the overall performance of the organization as a whole. AI for Content Creation With the rise of AI, many in creative fields have feared that predictive AI creations signal the end of human creativity. However, several organizations have learned to use AI not only to help them be more productive but also to give them the space they need to be more creative. “As a podcast host, I can attest to AI's transformative potential for the podcasting industry,” explains Heidi Moore, host of Wine Crush Podcast. “When we integrate AI into existing podcast workflows, it's not merely an additive process — it’s a paradigm shift. The capability of AI to sift through vast datasets allows it to predict and generate engaging topics that resonate deeply with the audience's preferences and current trends. This predictive prowess is instrumental in crafting content strategies that captivate listeners and foster a loyal audience base.” By automating the routines that take away from the creative process, creative entrepreneurs and leaders can focus more on experimenting and enjoying the fun parts of working within a creative space. If they view AI as a collaborative partner in their creative work rather than a hindrance, they may come by a more efficient process. AI for the Supply Chain As we saw laid bare during the pandemic, the efficiency and health of the global supply chain are critical for business. The introduction of AI has allowed those in the supply chain space to optimize traditional processes and explore technology-informed ways of making things run smoothly worldwide. “AI and RFID technology can be pivotal in transforming supply chain operations, particularly in enhancing the efficiency and sustainability of eco-friendly products,” says Joseph Schlossberg, VP of Global Sales at Sourcing Solutions International. “By integrating RFID's real-time tracking capabilities with AI's analytical prowess, we could significantly streamline supply chain processes, ensuring accurate inventory management and reducing unnecessary waste. This synergy is vital for adapting to rapid market changes and managing resources more effectively.” AI use within the supply chain significantly impacts the recent push for sustainability. “By evaluating extensive data on lifecycle impacts, supply chain practices, and product usage, AI facilitates more sustainable decision-making and innovation,” Schlossberg explains. “It helps us improve product design and predicts the environmental impact of materials and processes that we use.” AI in Finance AI also has a significant role to play in an industry like finance, where accuracy is paramount. “As more and more financial advisors embrace advancements in technology, AI continues to play a larger role,” says Aaron Cirksena of MDRN Capital. With the power to analyze vast data sets and uncover valuable insights for investors, AI can unlock new opportunities within the complex world of finance. “We can use AI in a multitude of ways, whether it is used to manage investments, give predictive AI-driven recommendations, or assist advisors in the day-to-day operations of their firms,” Cirksena notes. “Additionally, more advisors are embracing AI for client communication and assisting them with finding new lead sources.” Financial entities that embrace these technologies within the financial space stand to gain an advantage over those competitors who choose not to evolve or even bend with the changing times. As AI becomes more a part of everyday life, more investors and everyday banking consumers will come to expect the value and efficiency that AI can bring, gravitating towards those organizations that can offer it. AI automation has left its fingerprints in nearly every industry. As we head into the future, the potential for AI in areas from healthcare to the arts promises to reshape the way we work, produce, and innovate. Lead image source

Four Use-Cases for AI Automation in 2024

2024 সালে AI অটোমেশনের জন্য চারটি ব্যবহার-কেস

Vier Anwendungsfälle für KI-Automatisierung im Jahr 2024

Cuatro casos de uso para la automatización de la IA en 2024

Quatre cas d'utilisation pour l'automatisation de l'IA en 2024

2024 में एआई स्वचालन के लिए चार उपयोग-मामले

2024 年の AI 自動化の 4 つのユースケース

2024년 AI 자동화를 위한 4가지 사용 사례

Quatro casos de uso para automação de IA em 2024

Четыре варианта использования автоматизации ИИ в 2024 году

2024'te Yapay Zeka Otomasyonu için Dört Kullanım Örneği

Bốn trường hợp sử dụng cho Tự động hóa AI vào năm 2024

2024 年人工智能自动化的四个用例

Around this time last year, I wrote “ ”, a deep dive into why the idea of new software foundations to handle a shift in the way we interact through spatial computing was needed. It explored concepts new and old but ultimately the conclusion was that where we are heading in many respects requires a rethink in OS design from the ground up. The Metaverse Needs An Operating System We simply cannot move forward where thinking is still stuck in kernel design and operating system architecture from the mid-1980s and 90s. Now with the rise of AI and Large Language Models, data sovereignty and user control, identity, and the age-old arguments of ‘ ’ that question of needing to rethink the OS of yesterday for tomorrow rears its head again. proprietary vs open source What I wanted to do was take the exploration done last year but shift the thinking to another industry, one which has received a lot of attention and is touted to be the future of humanity — the space industry. There probably isn’t a sector where the software and hardware demands are as stringent or as secure because of the environment they operate in (save for defence and aerospace which of course are still part of the same overall sector anyway). Rather large caveats: what’s to follow is purely conceptual based on desk research in fields that I am not an expert in but with a fundamental belief (whether right or wrong) that things need to change. I stick to the core tenets of decentralisation, open source and modularity on purpose. I will attempt to avoid altogether the questions around new CPU and silicon architectures needed to really take advantage of the changes because let's face it, we’re kind of stuck with the same thinking because of OS design. It’s a two-fold problem. No More Monoliths The space industry, for all its innovation in the last decade or so thanks to SpaceX, still sits on operational software principles that hark back to the 1960s and this isn’t a foundation to build the future of space exploration said Matt Monson in a Reddit AMA back in 2020. That’s a lot of code sitting in a fragmented architecture originally conceived in the 90s. (“The [Starlink] constellation has more than 30,000 Linux nodes (and more than 6,000 microcontrollers) in space right now,” I’m a massive supporter and believer in decentralization despite the ideology being usurped by moronic web3 VCs and cryptocoin startups. Fundamentally, a distributed and decentralized architecture points the way to a new internet and the way we write software, one which would take us beyond our Earthy confines. The operating system landscape, particularly within the space sector, is characterized by a patchwork of proprietary and open-source systems, each with its own set of interfaces and protocols. . Something new would directly address these challenges by providing a cohesive platform that ensures compatibility and seamless comms between diverse hardware and software components through a unique approach — a combination of decentralized and RTOS architectures. This lack of standardization has led to inefficiencies, increased costs, and complexities in mission design The concept of a decentralized OS isn’t new, which showed the path forward for this and it's time to pick up where they left off and complete the work. Bell Labs back in the 1980s created Plan 9 Plan 9 from Bell Labs is a distributed operating system that originated from the Computing Science Research Center (CSRC) at Bell Labs in the mid-1980s and built on UNIX concepts first developed there in the late 1960s. Since 2000, Plan 9 has been free and open-source. The final official release was in early 2015. Plan 9 replaced Unix as Bell Labs’s primary platform for operating systems research. It explored several changes to the original Unix model that facilitate the use and programming of the system, notably in distributed multi-user environments. For the uninitiated, Why care about this at all, why bother with this? Well, because the concepts behind Plan 9 (and to a certain extent, GridOS too mentioned in the original article) point the way to a radical shift in how we really need to think about operating system design and kernel architecture, especially in the space industry. Metaverse OS What are the requirements as I see them? : something new should be designed to be decentralized, meaning it can operate across a distributed network, reducing single points of failure and potentially enhancing resilience and fault tolerance which is critical for space-based operations. Decentralized and Modular : thanks to a modular microkernel architecture, it should allow for greater flexibility. Modules can be added or removed as needed for different applications or missions, making it highly adaptable to various requirements. Customisability : integrating real-time processing capabilities, crucial for time-sensitive applications such as those found in space exploration and satellite operations addresses some of the immediate concerns about decentralization and node communication. Real-Time Capabilities : it has to be built on an open-source model, encouraging community contributions and making the source code available for review, which can foster innovation and trust. Community-Driven and Open Source : needs to be designed with compatibility in mind, so supports existing hardware platforms and can run legacy applications within secure modules, easing the transition from traditional operating systems. Compatibility and Transition The design of something this critical would intend to dismantle the incumbent jigsaw puzzle of Red Hat, various Linux flavors, embedded software, and Vxworks by Wind River by creating a leap in OS architecture and opening up a new and uncontested market space. By proving the design in one of the toughest markets you could then be poised to replicate and work backwards into similar industries that will be necessary for space exploration — including mining, manufacturing, IOT, and other heavy industries that all sit upon the same old software principles. What Windows is as a general purpose and productivity operating system platform would make this a highly tuned operating software platform for the future of humanity in space as its opposite. If you wanted to take this a stage further, especially where (SDA) is a critical initiative with government agencies then any new operating system made for space exploration could be a critical component for both civilian and military entities that operate assets in space also. Space Domain Awareness : a modular nature allows for the seamless integration of various sensors and data sources. This capability is crucial for SDA, where data from radar, telescopes, satellites, and other sensors must be synthesized to provide a comprehensive picture of the space environment. Enhanced Data Integration : the decentralized aspect of a new OS can facilitate distributed data processing, reducing the time it takes to analyze vast amounts of space-domain data. Faster data processing leads to more timely responses to threats such as space debris, adversarial maneuvers, or natural phenomena. Improved Data Processing and Analysis : for military operations, resilience is critical so a decentralized structure can offer greater resilience against cyber-attacks and system failures. If one node fails, others can take over, ensuring continuous SDA operations. Resilience and Redundancy : as military operations often involve coalitions, a decentralized OS can provide standardized communication protocols and interfaces, enabling interoperability between systems of different countries and services, which is essential for joint SDA efforts. Interoperability : the modular design of a decentralized OS allows for rapid adaptation to new sensors, technologies, or mission requirements. As the space domain evolves, so too can this incorporate new modules to address emerging SDA needs without overhauling the entire system. Adaptability and Scalability : with a new kernel architecture, security protocols can be tightly integrated into each module, providing robust security measures that are vital for military operations. The decentralized nature also means that an attack on one module is less likely to compromise the entire system. Security : standardizing on a modular OS can lead to cost savings by reducing the need for custom software development for each new SDA initiative. This economic efficiency can free up resources for other critical defense needs. Cost Efficiency Artificial Intelligence Points Another Way Forward Now, let’s discuss the future of operating systems like Windows and in a world of artificial intelligence. Aren’t monolithic OS redundant where we can use AI to build applications, browse the web, answer complex questions, conduct research and do a grocery shop with automated agents at our beck and call? Linux I would say so. The approach right now is just to LLMs and AI into various parts of the OS or productivity platforms rather than architect AI from the ground up to be . Subtle difference. integrate integral The integration (more like shoehorning) of AI into operating systems like Windows does indeed prompt the question of whether a complete redesign, starting from the kernel upwards, is necessary to fully harness AI’s capabilities in this new era so we need to take a look at what might be required. current operating systems could integrate AI as an additional layer, enhancing certain functionalities. However, this approach may not leverage the full potential of AI. A redesign from the kernel level could embed AI more deeply into the core functions of the OS, leading to a more integral approach. Deep Integration vs. Superficial Add-Ons: : traditional operating systems are not primarily designed for the complexities of AI workloads. Redesigning the kernel could allow for more efficient management of resources (like CPU, GPU, and memory) for AI processes, optimizing performance and energy consumption. Resource Management and Scheduling AI introduces new security and privacy challenges. A kernel redesigned with AI in mind could incorporate more advanced security protocols to handle these challenges, especially in processing large volumes of sensitive data. Security and Privacy: : AI applications, particularly those involving machine learning and real-time data processing, can benefit from low-latency and high-speed processing. A kernel-level redesign could optimize these processes, especially for edge computing scenarios. Real-Time Processing and Edge Computing : an AI-driven kernel could enable the operating system to perform autonomous optimization and self-healing tasks, predicting and preventing system failures, and optimizing performance without human intervention. Autonomous Operation and Self-Healing : modern AI applications often rely on specialized hardware like GPUs and TPUs. A kernel designed with these in mind could provide better support and optimization for such hardware, enhancing AI application performance. Much like what Graphcore set out to do with its IPU but has fallen foul of product market fit and high capital investment requirements to continue. Hardware Acceleration : a significant challenge in redesigning the kernel for AI is maintaining compatibility with existing applications and systems. This transition would require careful planning and gradual implementation. Backward Compatibility and Transition : the system could adapt its behavior based on the environment and usage patterns. For instance, it could optimize itself for energy efficiency, performance, or security, depending on the context. Adaptive Behaviour If we take a revolutionary approach to operating system design, combining AI-first architecture, kernel-level AI integration, and decentralization as core principles, a new kernel and OS architecture would differ significantly from traditional systems like Windows and Linux. Of course, such a shift would also require overcoming significant bumps in the road in terms of development, adoption, and compatibility with existing tech and infrastructure. No mean feat but if you approached this from the angle that building an OS like this was a Blue Ocean Strategy then being patient and nurturing this throughout a couple of decades and this is bigger game and prize to aim for. Let’s Go Swimming Blue ocean strategy is the simultaneous pursuit of differentiation and low cost to open up a new market space and create new demand. It is about creating and capturing uncontested market space, thereby making the competition irrelevant. It is based on the view that market boundaries and industry structure are not a given and can be reconstructed by the actions and beliefs of industry players. Red oceans are all the industries in existence today — the known market space, where industry boundaries are defined and companies try to outperform their rivals to grab a greater share of the existing market. Cutthroat competition turns the ocean bloody red. Hence, the term ‘red’ oceans. Blue oceans denote all the industries not in existence today — the unknown market space, unexplored and untainted by competition. Like the ‘blue’ ocean, it is vast, deep and powerful –in terms of opportunity and profitable growth. A perfect example of this was when Nintendo released the Wii. The Nintendo Wii launched in 2006 and at its heart is the concept of value innovation. This is a key principle of blue ocean strategy which sees low cost and differentiation being pursued simultaneously. To reduce costs, Nintendo did away with the hard disk and DVD functionality found in most game consoles and reduced the processing quality and graphics. At the same time, Nintendo introduced a wireless motion control stick to differentiate itself against the market offering. This allowed the company to offer a range of new features and benefits that hadn’t been seen in the world of gaming previously such as the ability to use a games console to get fit or to play in a larger social group. By pursuing value innovation, Nintendo could go beyond competing against the likes of PlayStation and X-Box in a crowded and fiercely competitive red ocean. Instead, it was able to open up a new market entirely. The Nintendo Wii, with its innovative, new features and affordable price point, appealed to an entirely new and expansive market — a blue ocean-spanning non-gamers, the elderly and parents with young children. By adopting the same approach with a new operating system it would obliterate the incumbent market riddled with technical debt and legacy which would be unable to respond because of the effort required to change direction. Where Do We Go From Here? It’s not a simple or small effort by any means. The reason I chose AI and Space was because they are complementary approaches to the same problem using the same answers. We’re building on concepts and ideas that have never been pulled together like this before but could lead to the building blocks of the next 50–100 years of software architecture because they have to be fit for purpose for the brave new world that’s coming at us fast. . This mission is the first of its kind to evaluate in-space use cases for decentralized storage. It will be hosted aboard Lockheed Martin’s self-funded LM 400 Technology Demonstrator — a software-defined satellite about the size of a refrigerator, designed to support a wide range of missions and customers. Once the spacecraft is in orbit, it will use its SmartSat™ software-defined satellite technology to upload and perform the IPFS demonstration. Take the current experimental deployments of IPFS (Interplanetary File System) with Lockheed Martin We’re experimenting with decentralised technologies all the time but seem hesitant to make it a core foundation of platforms going forward. These are conceptual frameworks and ideas I’ve been kicking around and god knows whether they’ll stick but if there’s anyone out there nodding in violent agreement — whether you’re a software engineer or an investor — beat down my door and lets talk because I have a desire to make this a reality. Also published here.

The World Is Ready for a New Type of Operating System

বিশ্ব একটি নতুন ধরনের অপারেটিং সিস্টেমের জন্য প্রস্তুত

Die Welt ist bereit für eine neue Art von Betriebssystem

El mundo está preparado para un nuevo tipo de sistema operativo

Le monde est prêt pour un nouveau type de système d'exploitation

दुनिया एक नए प्रकार के ऑपरेटिंग सिस्टम के लिए तैयार है

世界は新しいタイプのオペレーティング システムを受け入れる準備ができています

세상은 새로운 유형의 운영 체제를 맞이할 준비가 되어 있습니다.

O mundo está pronto para um novo tipo de sistema operacional

Мир готов к новому типу операционной системы

Dünya Yeni Bir İşletim Sistemi Türüne Hazır

Thế giới đã sẵn sàng cho một loại hệ điều hành mới

世界已准备好迎接新型操作系统

GPT-Like LLM With No GPU? Yes! Legislation Analysis With LLMWare

There are decades when nothing happens, and weeks when decades happen. AI Is Eating E-Commerce The e-commerce industry has experienced steady and reliable growth over the last 20 years (albeit interrupted briefly by a global pandemic). Each year, more shoppers come online and more retailers light up their website, and together, the size of the pie gets a little bigger. But when it comes to the technology powering these e-commerce sites, not a lot has changed in a couple of decades. Shoppers still work their way through large catalogs of products, fiddling with filters, clicking through categories, guessing the right keywords, and swiping through product detail pages. Shoppers still have to do all of the work to find the perfect product that will make their day (or outfit). A time traveler from the 1990s would find most e-commerce sites look and operate today just like some of the first online shopping experiences during the early ‘dot com’ days. While shoppers appreciate access to a bigger selection of products, cheaper prices, and delivery convenience, the shopping experience still feels pretty subpar. It’s 2023; where are our jetpacks? Well in 2023, it’s safe to say that we’re about to get our shopping jetpacks thanks to breakthroughs in Artificial Intelligence (AI). Just like the popular saying, “Software is eating the world,” that describes the ways in which digital technology is transforming every industry, . AI is about to eat e-commerce Wait, What? The problem with e-commerce sites is they basically can’t understand humans. They are often a slick-looking web or mobile interface on top of a product database. So we as humans have to figure out how to speak computer lingo and tell this database what we’re looking for. We can filter, sort, and match keywords in the product articles, but, since the database is just a computer, it can’t really understand what shoppers are looking for. This is about to change dramatically. We just experienced a major breakthrough in AI that has transformed the way that computers can understand human language as beautifully illustrated by ChatGPT. Top 10 Ways AI Is Transforming E-commerce Here are 10 ways AI is going to transform e-commerce: From matching to understanding Results ranking gets supercharged Real-time data supercharges AI Everyone gets their own model Personalization finally arrives Learning via human feedback Conversational commerce Multi-model AI as a service: AI via API E-commerce gets scientific 1. From Matching to Understanding Search in e-commerce today blindly matches keywords typed in by a user, occasionally adding the odd synonym, before retrieving results from the database. : Before This leaves shoppers needing to think hard about the keyword guessing game, hoping to get the computer to return the perfect product. The is about to get a lot smarter. More sophisticated AI (based on the same models powering applications like ChatGPT) now truly understands the concepts shoppers are seeking and can match through AI the perfect products regardless of whether the keywords match. : Future search experience These models understand different languages, brands, colors, and synonyms, and they can pick needles out of haystacks even with the most open-ended search queries. 2. Results Ranking Gets Supercharged : E-commerce sites typically sort the keyword results according to which products are most popular and likely to lead to a sale. This ends up with the most popular (often bland) or cheapest products rising to the top. Before : . These new models create unique rankings for every individual using personalized data based on the shoppers’ behavior, how the AI understands the product based on the query, and real-time popularity and business supply and demand. After Ranking is super-powered by AI models These fusion models use learn-to-rank AI models to optimize the outcome for shoppers and deliver compelling results. 3. Real-time Data Supercharges AI E-commerce sites might use some analytics dashboards to understand the popularity of different products. Data might be updated once a day to the product catalog to power popularity sorting. Merchandisers may use this data to better promote items. Before: Every search, result view, click, product view, basket addition, and sale is immediately sent to live AI models to adapt in real-time to what the customer and the market are doing. After: Every experience is unique and powered by real-time learning: when the weather changes, when sales happen, or when new products land, the AI models can adapt at the speed of light. 4. Everyone Gets Their Own Model Every customer sees the same shopping experience. Vendors power every e-commerce site from the same algorithm. Before: : Every customer has their own AI model that is trained by every interaction they make on the website in real time. Every e-commerce site is powered by unique models trained and fine-tuned on the data provided by each site. Future 5. Personalization Finally Arrives Customers might get some basic levels of personalization after multiple visits and after registering an account. This personalization is centered on crude mainly “buy again” and some level of brand following. Before: Personalization starts after the first click and is live in every session, even for first time visitors. including home, search, browse, recommendations and even checkout. After: Personalization is used across all surfaces Vendors feel confident enough with their site’s personalization that they show customers what is being personalized and let the users configure settings to their preferences. 6. Merchandising = AI Learning Via Human Feedback : Merchandisers use intuition and educated guesswork to promote items and curate category pages. Often, merchandisers contradict each other’s choices, and half of the team can make things worse (but no one knows which half). Before . The AI automates the easy choices and hands them only the most important decisions to make. The machine then uses feedback to continuously improve its algorithm. After: Merchandisers have AI superpowers its Merchandisers spend more time refining the user experience, sharpening more effective intuition about their shoppers, and using that insight to teach AI. The AI in return can rate and inform merchandisers by letting them know how effective their changes were. 7. Conversational Commerce Average keyword length is < 3 words. Most search queries are just categories (like “dress”) or filters (“blue dress”). The site has amnesia and cannot remember the previous queries. Before: : Customers experience expert advice and guidance from a personalized chatbot within the site by asking questions and conversing in a human way. Conversations flow as the chatbot asks questions and refines products live in front of the user. After The bot learns about customer preferences and can provide expert advice to a customer choosing between similar products. Think: personal shopper or a genius in the Apple store. 8. Multimedia Shopping Products are simply text, listed in the title and description. Customers can only search using keywords. Before: Products are vivid and multi-dimensional. AI models can use images, videos and text to provide expert advice about them. The models use data from all over the web to understand products and brands. Customers can ask questions or use images or speech to search. After: Generative AI, for example, can show custom models in clothes and recommend outfits based on previous purchases. 9. AI as a Service: AI via API E-commerce sites are powered by complex, all-in-one monoliths that are impossible to extend and have “black box” transparency. Before: Everything, including the AI model, is composable and easy to integrate via developer-friendly APIs. Individual AI models are offered as-a-service, and charged per usage, with separate endpoints for search, browse, ranking, recommendations, etc. After: 10. E-commerce Gets Scientific E-commerce is an art where merchandisers and developers try to drive more conversions using intuition and gut feeling. It’s difficult to understand how to move the needle and if individual changes are leading to better outcomes for shoppers. Before: E-commerce is a science, where AI models are continuously fine-tuning and improving performance through A/B tests and experimentation that provide statistically significant evidence. After: The velocity and volume of experimentation accelerates, and shoppers vote with their clicks for what works and what doesn’t. Now What? In light of recent market breakthroughs like the rise of ChatGPT, we are now presented with new capabilities that will transform e-commerce by enabling businesses to provide seamless and personalized customer experiences like never before. Understanding what’s possible and knowing how to capitalize on new possibilities presented by AI to meet business and customer goals is the critical next step for companies who want to evolve and thrive in an AI-tech-led world – and we can . help you get there A good way to get started is to equip yourself with more AI search knowledge with . these resources from Algolia

AI Is Devouring E-Commerce

Accessing the dark web on an iPhone can be an intriguing proposition for many users. The dark web is known to be a hub for illegal activity, and it can be difficult to access without the right tools and knowledge. However, it is important to remember that the dark web is not a safe place, and there are many risks associated with accessing it. Before you access the dark web you must be alert and take steps to protect yourself from identity theft. : In this article included an affiliate link to NordVPN. You won’t be charged anything extra for clicking on these links, but you will be supporting me if you do choose to purchase through the link. Thanks! Disclaimers/Notes On AI Usage: AI was used to improve the grammar in this article. What is Dark Web - In-depth Have you ever heard of the dark web? It's a part of the internet that can't be accessed using regular search engines like Google or Yahoo. It's a hidden network of websites and services that can only be accessed with special software or configurations. Unlike the regular internet, which is open and accessible to everyone, the dark web is intentionally hidden and often used for illegal activities like buying and selling drugs, weapons, and stolen data. However, it's important to note that not everyone who uses the dark web is involved in illegal activities. In fact, some people use it for legitimate purposes, such as anonymous communication channels for political dissidents, journalists, and whistleblowers. One of the most well-known ways to access the dark web is through a software called Tor, which stands for "The Onion Router". Tor is a free and open-source software that uses a series of relays to anonymize internet traffic, making it difficult to track the origin or destination of internet traffic. By using Tor, you can can browse the dark web anonymously, without revealing their IP address or location. So while the dark web has a reputation for illegal activities, it's also used for legitimate purposes. It's a complex and fascinating aspect of the internet that's worth learning more about. Here Are The Steps to Access The Dark Web on Your iPhone Step 1: Download a VPN First you need to download a reliable VPN on your iPhone. A VPN creates a secure, encrypted connection between your device and the internet. This is important because it helps protect your online activity from prying eyes. When choosing a VPN provider, it is important to choose a reputable provider with a proven track record of protecting user privacy. The most popular VPN providers for iPhones include ExpressVPN, NordVPN, and Surfshark. I personally use , it's excellent and faster than others. NordVPN Anyway, once you have downloaded and installed the VPN app on your iPhone, make sure to connect to the VPN before accessing the dark web. Step 2: Download the Tor Browser Now, your network work is encrypted and you can download the Tor Browser without anyone's trace. The Tor Browser is a free, open-source web browser that is specifically designed for accessing the dark web, (in one word, TOR browser is the getaway of the dark web). The Tor Browser routes your internet traffic through a series of servers, making it difficult for anyone to track your online activity. To download the Tor Browser on your iPhone, simply search for " " in the App Store and install the app as usual or go through the URL here. Once the app is installed, open it and connect to the server. Tor Browser Remember, do not download or open the TOR browser without a VPN. Step 3: Navigate the Dark Web Safely Now that you have the Tor Browser and a VPN installed on your iPhone, you can safely navigate the dark web. However, it is important to remember that the dark web is not a safe place, and there are many risks associated with accessing it. One of the biggest risks of using the dark web is the potential for identity theft. So make sure to avoid providing any personal information, such as your name, address, or credit card details, while using the Tor Browser. Another risk of using the dark web is the potential for and viruses. To protect yourself from malware, make sure to avoid clicking on suspicious links. malware Step 4: Be alert It is important to use common sense when accessing the dark web on your iPhone. The dark web is a place where illegal activity thrives, and there are many people looking to take advantage of unsuspecting users. Always use a VPN and the Tor Browser when accessing the dark web, and avoid clicking on suspicious links or downloading files. If something seems too good to be true, it probably is a scam. Final Word I hope you enjoyed the article and took note of the security measures mentioned. It's important to remember that you cannot access the dark web through the surface web, which means you can't search for it on Google and expect to find the right resources. If you want to access the dark web on your iPhone, you must need to download a browser like TOR Browser, I2P and FreeNet. Frequently Asked Questions Can I access the dark web on my iPhone? Yes, it is possible to access the dark web on your iPhone, but you will need to use special software or configurations to do so. Is it safe to access the dark web on my iPhone? Accessing the dark web carries a higher risk than browsing the surface web, so it's important to take precautions to protect your identity and devices. Use a virtual private network (VPN) to encrypt your internet traffic, avoid downloading or installing any suspicious software or files, and be cautious when interacting with unknown websites or individuals. Can I access the dark web through a regular browser on my iPhone? No, the dark web cannot be accessed through regular browsers like Safari, Edge or Chrome. You will need to use a special browser like Tor to access the dark web. Is it illegal to access the dark web on my iPhone? No, accessing the dark web itself is not illegal, but many of the activities that take place on the dark web are illegal. It's important to use caution and not engage in any illegal activities while browsing the dark web. Are there any risks associated with accessing the dark web on my iPhone? Yes, accessing the dark web carries a higher risk than browsing the surface web. You may encounter malicious websites or individuals, and your identity or personal information may be at risk. It's important to take appropriate precautions to protect yourself and your device.

The Easiest Way to Access the Dark Web on an iPhone

La forma más fácil de acceder a la web oscura en un iPhone

Le moyen le plus simple d'accéder au Dark Web sur un iPhone

IPhone पर डार्क वेब तक पहुँचने का सबसे आसान तरीका

iPhone でダークウェブにアクセスする最も簡単な方法

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在 iPhone 上访问暗网的最简单方法

Scaling is an important but often overlooked consideration in software and web development. Let’s say that you have plans to make a great product. And let’s also say that after a few months of development, you were able to deploy it successfully. Now, you suddenly have hundreds of thousands of active users. What will you do if the number keeps growing? And how will you handle this huge but sudden change? Do you have enough resources to do so? Will you have to make changes in terms of your tech stack? Scalability is all about having an answer to all these questions. It’s not always easy to scale your product or service properly, and scaling involves a lot of complicated steps. It’s not like there’s a comprehensive and fun way to learn about all this, is there? Thankfully, now there is. On February 22, 2023, from 9:30 a.m. to 3:30 p.m. Central Time, Filestack will be hosting a full-day online conference. The event, titled “Nerd Up: Scale Up," brings together six field experts from across the globe. They will provide you with effective and modern strategies for software and website scaling. The event’s is now open to those who are willing to learn about proper software and website scaling. This article will discuss the basics of the topics that the conference will cover. registration What is the Nerd Up: Scale Up conference about? The event will guide you through the different ways you can prepare for any changes in your application or website. Here are the topics, along with their corresponding presenters, that you will encounter at the conference: OpenAI: Creating Chatbot Applications, Adrian Twarog A Qwik Integration to File Management, Giorgo Boa Designing for Scale: Optimizing Microservices, Chris Bongers IL Classroom and Filestack: Powering LMS, Ian Lotinsky A Design System Story, Gil Fink Using AI to Improve Existing Systems, Patty O’Callaghan Unfamiliar with some of these topics? Don’t worry. We’ll be discussing basic information about them below. And if you are already familiar with them, then you will be learning a lot more when it comes to using them for scaling applications and websites. Let’s start with the conference’s core topic: scalability. What is software or website scalability? There comes a point in every developer’s life when they need to deeply consider software or website scalability. It’s an essential part of adapting to the constantly changing software industry environment. For example, when your website or application starts to grow, you have to prepare accordingly. Similarly, when an unprecedented event (like a pandemic) threatens to topple the stability of an application or website, you have to know how to handle it. Software or website scalability deals with keeping up with any changes in the business environment. Without proper scaling, your software or website might fail to adapt to any major changes. For instance, let’s say that you have software that supports strictly up to 100,000 users due to some constraints. When that software starts growing in popularity or demand, it will be more difficult for you to adapt. The changes you will have to make can include purchasing more servers, changing your software’s structure, and other exhausting tasks. On the other hand, if you make your software scalable from the start, it’s easier to make these changes. There are several factors and ways to make your products scalable. At the Nerd Up: Scale Up conference, our speakers will discuss some important ones to help guide you. So, are you good with scalability? Let’s move on to artificial intelligence, another major topic of the conference. What do you need to know about AI? Artificial intelligence, or AI, is a field of computer science that deals with creating computer systems that can mimic human intelligence to a degree. Formally defining AI is difficult. In fact, in the book “Artificial Intelligence: A Modern Approach," authors Russell and Norvig gathered eight definitions for AI from different studies. But one thing is for sure: AI is one of the most popular and sought-after fields today. This is true not only for scientists and mathematicians but also for businesspeople and modern developers. One increasingly popular topic about AI is OpenAI, an AI research and deployment company. OpenAI provides various APIs that developers can use to create beneficial AI-powered applications. For example, ChatGPT is a model for human-like conversations. It can answer questions, remember conversations, and even admit mistakes, making it perfect for chatbots. OpenAI allows developers to integrate chatbots into their applications quickly. As a result, developers can scale their applications rapidly and meet their users’ needs. Developers can also use AI to improve the quality of existing systems. AI does this by increasing productivity, reducing costs, and improving the user experience. Why we need AI AI for commercial software and websites is one of the best and most popular innovations that we have today It can make our lives easier (with the right guidance and usage) AI is getting more advanced and accurate every day It can help improve existing or old solutions AI functionality is becoming more accessible for developers What is the Qwik framework? Qwik is another topic that the conference will cover, but what is it, exactly? Qwik is a web framework that promotes performance and scalability. Its goal is to minimize the application’s JavaScript executions and downloads. Some of its features include: No hydration (instant interaction with the application even on slow mobile devices) Resumability (No JS downloads/execution before handling user interaction or rendering) Easy lazy loading (load digital assets as needed) Minimal rendering for downloaded and executed code Scalability (The amount of downloaded code is based on user interaction complexity instead of component size) One mental model to follow for both front-end and back-end code Qwik believes that developers shouldn’t worry too much about application size. This is because the industry’s best practices often translate into larger bundles. Furthermore, the Qwik philosophy states that tooling can break down applications into different chunks. Developers can then lazy-load these chunks. This means that the runtime will only download these assets as needed. This view on sizing makes Qwik a helpful tool for scaling websites and applications. Qwik is perfect for many different applications, especially those with file management features. The framework allows developers to rapidly build applications. And when paired with a capable file management service, Qwik also makes handling digital assets much easier. Why we need frameworks like Qwik We can surpass limits set by large application bundle sizes with these frameworks Qwik makes it easy to speed up applications and websites You can follow all the best practices and still have good performance Qwik strikes the balance between an application with less interactivity but high performance and an application with more interactivity but poor performance What is microservice architecture? A microservice architecture is a type of application architecture that developers can follow when building larger applications. The “microservice” part means that the applications that use this application architecture consist of a set of services. These don’t just refer to any services, however. Each service must possess the following qualities: Small, loosely coupled, and independently deployable (i.e., a team can update and deploy their microservice separately from the main application) An independent codebase that is owned by a small team The ability to handle its own data or external state persistence The ability to communicate with other microservices using APIs (details of the other services must be abstracted from one another) The ability to emerge from different tech stacks compared to the other microservices of the application (i.e., every service doesn’t have to have the same frameworks or libraries) By following this application architecture, developers can rapidly develop and frequently update large applications. Microservices also allow businesses to change their tech stack at will, letting them adapt to newer technologies and trends. And because of these characteristics, microservice architecture greatly contributes to an application's scalability. However, there are proper strategies for designing microservices for scalability. You still have to optimize these microservices. This process can include steps like using service meshes and pipelines for testing and deployment. Fortunately, optimizing these microservices is one of the major topics of the upcoming conference. Why we need a microservice architecture Easier management of services (bug fixes, new releases) because of independence More scalability and productivity from smaller teams working on one service (less and faster communication compared to larger teams working on one or multiple services) It’s easier to add or remove features when they’re separate from one another Developers have more control over scaling their application (scale one or some services instead of the entire application every time) Time to nerd up and scale up And that’s it for these interesting topics, at least for now. At the conference on February 22, 2023, you’ll get much more detailed insights about the topics that we’ve discussed above. To register for the upcoming online conference, . click here

Filestack Presents: Nerd Up: Scale Up - A Full-Day Online Conference

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