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Implementing your application’s first and final line of defence. “There are two kinds of cryptography in this world: cryptography that will stop your kid sister from reading your files, and cryptography that will stop major governments from reading your files.” — Bruce Schneier Dutch cryptographer once said that a system should be secure even if everything is known about the system other than its key. In the case of the internet, with web applications serving as the system, passwords have become the new key. It’s not a stretch to say that your most valuable information is probably hidden across all your social media, cloud storage, digital banking and so forth. So, the first and final line of defence between you and digital burglars potentially highjacking your life is none other than your . Auguste Kerckhoffs password News publications all go over breaches, yet security is often the most daunting task for beginners in back-end development. I’ve been developing back end systems for a few years now and it still makes me uneasy. So, this guide aims not to provide backend code, but to provide new developers a skeleton for good password systems. bananas security Hashing So, you probably understand the basics of password usage: User provides password when she signs up. Password is stored in the database. When user later logs in, her attempted password is compared with the stored password. But how does Step 2 happen? How is the password stored ? securely The foundation of Step 2 in any good password system lies in its use of algorithms. In the real world, we don’t just store the password in our database. We store a representation of the password called So what is a hashing algorithm? hashing a hash. A hashing algorithm is a function that when inputted a string of arbitrary size will produce a fixed length string called . More simply, a hashing algorithm is a one-way function that converts any text of into text with the exact same length each time. a hash any size hash(“password”)= 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 hash(“p4ssword”)= eca8e05d94c236e78c389e15e1cad71ff9326bdfa5e1d79d92766f38414e66e5 // 1 different character = completely different hashes hash(“password”)= 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 // same input string = same output hash (every time) This is made possible by altering and construing the input text until it does not even remotely resemble the original string. For example, the commonly used SHA-256 algorithm always produces outputs of 256 bits for a total of 2²⁵⁶ possible outputs. As a result, it’s radically difficult to create — when two different input strings produce the same output. In fact, there is a chance of 1 in over 115 (that’s a real number; it’s 78 digits long) to produce a collision. collisions quattuorvigintillion Instead of storing a plaintext password in a database when a new user is created, a hash of the password is stored instead using a . Whenever that user later logs in, whatever password they log in with is hashed and compared with the original password’s hash to verify the user. This is because even if a hacker was able to break into a database and view its contents (which happens more often than you’d think), a hash effectively hides every password even if the hacker knew which hashing algorithm was used. hashing algorithm Kerckhoffs would be proud. Some things to remember: 1. A hashing algorithm will produce the same output for the same input.2. A slightly different input will produce a completely different output.3. A good hashing algorithm minimizes collisions. Or just use bcrypt (covered in final section). Good Passwords "cats_name_birth_year" = bad password “1Q8w$BSLsC” = good password First, what makes a secure password? The best passwords aren’t necessarily the ones that include both numbers, capital and lowercase letters, and special characters. Neither are passwords over 8–10 characters. Instead, what these web guidelines do is encourage users to expand variation in passwords to (hopefully) create a one-of-a-kind password. The best passwords are the ones that nobody has ever used before. Here’s why. Let’s do some quick math. Using 10 characters, your standard 26 lowercase characters will give you the option of 2⁶¹⁰ possible passwords. That’s a big number — 141,167,095,653,376 to be precise. However, we also have 26 uppercase letters at our disposal too (52 possible characters), which multiplies our total password count by 1000. When you add special characters and numbers our total password count (barring conditions) is 59,873,693,923,837,890,000. That number is too astronomically large to even wrap your head around. A more understandable metric would be how long it takes to crack a given password. Using a raw SHA256 hashing algorithm, it would take about 738 thousand years to brute force the entire key space. Seems secure enough? Yeah, right. Sort of relevant XKCD Salting A hacker’s best friend. (photo credits: kedeleducation) Even though it’s impossible to reverse engineer a given hash, we have standardized hashing algorithms like SHA. This means that hackers can compile huge datasets known as dictionaries of common passwords and hash each password themselves to see if any of the corresponding hashes equal the original password hash. Another technique is to precompute the hashes of a dictionary and place them into a data-structure known as a lookup table or rainbow table, making it EVEN easier to determine the original password. Since large numbers of hashes can be computed only once and reused, these types of hacks can be efficient. The best way to combat this method of hacking is to use : additional random characters added to the password when hashing. Each password requires a different salt, but the plaintext salt can be stored right alongside the password. How is this secure? salts Salting protects your passwords because salting renders all the hashes stored in a lookup table useless, since using a salt will completely change the hash. Hackers ultimately will have to resort to brute-forcing passwords with the given salt. Your passwords are (more or less) safe again. hash(“password”) = 5e884898da28047151d0e56f8dc6292773603d0d6aabbdd62a11ef721d1542d8 hash(“password” + “salt”) 7a37b85c8918eac19a9089c0fa5a2ab4dce3f90528dcdeec108b23ddf3607b99 // completely different hash Hashes in Production So can you just take SHA256 implementation, throw in a secure salt, and call it a day? Just hold your horses for a second. Turns out you can’t just roll your own authentication. When the only limit to cracking your password is how fast a GPU can run (and GPUs get faster every year), your security system will start to resemble a ticking time bomb. To combat this, most modern authentication systems use a technique called . key stretching (Use this metaphor: a stretched out key takes longer to fit into a hole to check if it’s the right key) How key stretching works is beyond the scope of this guide, but essentially the technique makes it extremely difficult for hackers to test out a bunch of hashes in a short amount of time by slowing down the hashing algorithm and forcing hackers to wait (relatively) long times before a hash is produced. A popular implementation of key stretching is used in bcrypt, a password hashing library that has been developed specifically for passwords in 1999. In a world where technology quickly outpaces itself, the age of bcrypt is a testament to how powerful it is. The library is available in every language conceivable, from node.js to C and even generates a cryptographically secure salt to prevent rainbow attacks. Useful, right? hash = bcrypt.hash(“passw0rd”, salt_length) // cue Staples Easy Button Some Real World Advice Use libraries like bcrypt, use 2-factor authentication, follow emerging trends in network security, and penetrate test frequently. If you learned anything from this guide, I hope its this: never roll your own authentication. Your security isn’t just competing with hackers — it’s competing with other security systems since hackers can effortlessly apply the same hacking techniques from other attempts to your system. Remember this key lesson, and you should know enough about security systems to get started. Good luck! 🙌 _intelligent machines and the intelligent monkeys behind them_medium.com elore If you like crash courses in interesting computer science topics, check out elore ! We make cool articles like this about topics ranging from machine learning to hackathons. 🐒

A 6 Minute Guide to Password Systems

If you’re following any influencers online, better check if they’re real or artificial, because in the recent wave of AI-based innovations, are the latest. virtual influencers In 2018, magazine issued its ‘25 Most Influential People on the Internet’, a roundup of individuals or groups that generated an exceptional worldwide effect on social media and digital communication throughout the year. Among the featured personalities, the Instagram model , with an estimated net worth range from US$10-US$16 million dollars, is not real. Time Miquela Souza Souza isn’t the only one. Check out on Instagram, a virtual celebrity created by Avtr Meta Labs in 2022, or , who has worked with brands like L’Oreal, Apple, Titan EyeX, and many more. Naina_avtr Kyraonig Meaning: she is a virtual influencer. Although today’s digital platforms are populated by AI-powered and AI-generated content, which includes algorithm-driven programmatic advertising to creative content, such as posts completely written by AI-writing tools such as ChatGTP, the phenomenon of virtual influencers is a weird one and has been redefining how virtual and real persons interact and build online bonds. A look at all platforms and lets us know that virtual influencer popularity is peaking on Instagram probably because of the social media’s inherently visual nature. Thanks to advanced Computer-Generated Imagery (CGI) techniques and the tactical usage of narrative strategies typical of Instagram storytelling, virtual influencers make extremely accurate avatars with different levels of anthropomorphism, human likeness, and personality. social media First, we had chatbots doing the same, but the fact that they are disembodied kept a distance. However, artificially generated virtual influencers come quite close to sounding and looking like their human counterparts, and they’re seen coexisting on the same social media platforms. Just like any human influencer, virtual influencers have human-like storylines and pictures with humans. In fact, they even publicly interact with human users in their comment sections, and they often advocate for political and social causes. Most significantly, they endorse services and products on social media by partnering up with brands like Gucci, Samsung, and Adidas, so that they’re just as good an option as human influencers. These virtual influencers are wielding the same impact that a human influencer does. A look at the comments that Naina_avtr receives says it all. People are just as equally smitten. This reminds me of , the 2002 Hollywood movie starring Al Pacino and Evan Rachel Wood, where a virtual starlet takes the world of cinema by storm. The difference here is that people are aware of the artificiality of these influencers. Simone According to a , in line with the idea that individuals apply human social rules when interacting with computers, disclosing the synthetic nature of a fully anthropomorphized virtual persona does not affect influencer and brand perceptions. study Despite virtual influencers’ objective lack of capacity to perceive and feel affective and sensorial information, their acceptance by the users remains unhindered when they use an emotion-based communicative style. The social and business implications for companies aiming to implement virtual influencers successfully are high “Despite virtual influencers’ objective lack of capacity to perceive and feel affective and sensorial information, their acceptance by the users remains unhindered when they use an emotion-based communicative style. The social and business implications for companies aiming to implement virtual influencers successfully are high,” the study says. What does this say about influencers at large? What does this mean for human influencers? Maybe, an influencer’s image is already something of a fantasy, which is why even after knowing about the artificiality of an influencer doesn’t matter to the audience. So should human influencers be worried about losing their jobs? Like many other creator job holders, they probably should. Building a virtual influencer is easy, cost effective, and way less fussy. They also say exactly what brands want them to say, and most importantly, the audience doesn’t mind that they don’t physically exist. This article was originally published by on Navanwita Bora Sachdev The Tech Panda.

Virtual vs Human Influencers: Redefining Human Computer Bonding

Artificial intelligence is a technology that surprised the world by evolving from a fictional tale in movies to now having a ubiquitous influence in every sphere of human life. But was this an unpredictable change? Not really. The algorithms and experiments started back in the 1950s. It built the foundation of the AI we know today, like business automation software, the infamous Alexa and one of the biggest accomplishments of AI this year - . ChatGPT This level of evolution is possible only if the right minds put on their thinking caps and begin execution in the right direction. Lets See The List of 10 AI Development Companies in USA 1. Google Cloud Google Cloud offers an array of machine learning and artificial intelligence tools for developers and data scientists. These tools can be used at every stage of the development pipeline, i.e. preparation, building, validation and deployment of AI platforms. Google Cloud’s services primarily include virtual resources and physical assets. Some tools available on the platform include , Vertex AI Workbench, Cloud Natural Language, Video AI, Vision AI, and AutoMl, to name a few. Its services extend to infrastructure development tools for building prototypes, scaling, and deploying projects. Vertex AI For instance, its Deep Learning Containers have pre-configured deep learning environments which can assist in building prototypes. And the high-performing GPUs help with scientific computing and ease specific workloads. For its remarkable vision and resources, in 2022, in Magic Quadrant for Cloud AI Developer Services. Some noteworthy clients of Google Cloud include PayPal, Gojek, 20th Century Fox, P&G and Twitter. Gartner named Google Cloud the leader Launched: April 7, 2008 Employees: 32000+ Stock Price: USD 96.94 (as of 16th February 2023) 2.  Inc. RisingMax Inc. RisingMax is one of the leading AI company, acts as a digital transformation catalyst for startups and FORTUNE-500 companies. They are obliged to assist businesses worldwide in reducing their carbon footprint and creating a sustainable future. With the strong eco-community, they support green tech initiatives and reward businesses working to build a better tomorrow. They celebrate the project's success by planting 100+ trees each time. By rewarding or compensating the plating cost, they also encourage our clients to plant at least 50 trees. 3. OpenAI Open AI is a non-profit AI research and deployment company based in San Francisco, California. Open AI’s hall of fame includes Chat GPT, DALL·E 2 and Whisper. Chat GPT is a masterpiece of conversational AI with the ability to produce unique dialogues based on inputs. DALL·E 2 can create original and realistic image compositions based on descriptions. Whisper is an automatic speech recognition tool that can go through any quality of audio in any language and transcribe it accurately. Additionally, Open AI has other development tools to offer, like GPT3 and Codex. Users can also leverage Open AI’s free content filtering, end-user monitoring and scoping of API usage services. Pacific Northwest National Laboratory, Scale Media Inc., and Stellar Science Ltd. currently use OpenAI services. As per , OpenAI aims to achieve revenue of $1 billion by 2024. With investors like Microsoft, Khosla Ventures and Reid Hoffman’s charitable foundation, the future of  AI innovation in OpenAI looks bright. Reuters Launched: December 10, 2015 Employees: 375+ Stock Price: Open AI is a private company as of February 16, 2023 4. IBM Cloud IBM is leading the AI sector with its AI technologies. IBM cloud features a list of tools, including AI and Machine learning tools, specifically . It was released in April 2010 and is still actively used to build machine learning models. Watson AI IBM Watson Assistant, Discovery, Knowledge Catalog, Language Translator, Knowledge Studio and Natural Language Classifier are some useful AI tools available on IBM Cloud. In 2020 AI market share report with the largest market share of 13.7%. IBM received the #1 ranking in the IDC IBM Cloud’s Watson AI is used by 70% of banking institutions and by some of the top companies like Panasonic, Covéa, DB Dialog & DB Systel and Humana Inc. Its use cases in multiple industries spread across 21 verticals, including insurance, aerospace, defense, banking and transportation. Launched: April 2010 Employees: 300k+ Stock Price: USD 136.4 (as of 16th February 2023) 4. Amazon Web Services (AWS) Amazon Web Services has a comprehensive set of AI and machine learning tools targeting business analysts, data scientists, and engineers, allowing them to build, train, and deploy their ML models even without ML experience. Users can engage with ML experts and utilize AWS’s consulting services to complete their projects. The platform has a list of free tier tools like Amazon Polly, , Amazon Comprehend, Amazon Translate, Amazon Lex and Amazon Transcribe. AWS boasts a partnership with industry leaders like Intel, Accenture, Deloitte and C3 AI. Amazon SageMaker AWS AI has been employed by many startups and enterprises, such as Amazon, Discovery, Intuit, Formula 1 and Cambia Health Solutions. For its successful operation, Gartner recognized it as a leader in the Cloud AI Developer services' Magic Quadrant. Launched: November 2016 Employees: 40,000+ Stock Price: USD 101.16 (as of 16th February 2023) 6. Alibaba Cloud Alibaba Cloud is one of the leaders in the cloud computing and AI industry, with tools and services for developers and enterprises. With its end-to-end solutions, such as data processing, model training, prediction and evaluation, it aims to make AI more accessible to all. Alibaba Cloud’s AI tools include technologies like Vision AI, Intelligent Speech, NLP, Interactive AI and Intelligent Marketing. Its services are spread across many verticals like finance, education, transportation and new retail. The recognized Alibaba Cloud as one of the top 3 public cloud enterprise container platforms. Companies like Newegg, Blackboard, PicsArt and Align Technology leverage the AI services of Alibaba Cloud. Forrester report Launched: September 2009 Employees: 3000+ Stock Price: USD 103.08 (As of February 16, 2023) 7. Microsoft Azure Microsoft Azure AI services create a new way to access breakthrough research in the industry. The platform’s easy API calls can help data scientists and data engineers access language, vision, speech and decision-making AI. Broadly, the Azure services include Azure Applied AI, Azure Machine Learning, Azure Infrastructure and Azure Cognitive Services, each of which can enhance business processes, accelerate performance and add an extra layer of security. Specifically, Azure offers machine learning tools like Jupyter, Notebooks and Visual Studio Code and open-source frameworks like TensorFlow and PyTorch. Besides its low-code and no-code tools, services give users access to powerful AI tools like GitHub Copilot and GPT3. Azure’s Open AI Microsoft Azure was recognized as a leader in the ‘2021 IDC MarketScape for worldwide general-purpose conversational AI platforms.’ GigaOm also positioned . Azure’s active clients include industry leaders like BBC, NHS, Twitter and NBA. Azure among the leaders in the MLOps Radar Launched: February 2010 Employees: 200,000+ Stock Price: USD 269.32(As of February 16, 2023) 8. Salesforce Headquartered in San Francisco, California, Salesforce presents a large infrastructure of AI tools for admins and developers to build, train and deploy AI projects. Einstein is the most well-known platform in Salesforce, with no-code pre-built solutions and custom AI features. It’s well known for laying a rich set of AI tools for smart apps, such as Einstein Prediction Builder, Einstein Bots, Einstein Vision, Einstein Language and Einstein Language Discovery. Salesforce has been recognized as a leader, for the 16th consecutive year, in the 2022 Quadrant™ for Sales Force Automation Platforms. Some of the well-known clients of Salesforce include notable names like Ford, Loreal, Hologic and Engie. Gartner® Magic Launched: 2016 Employees: 73000+ Stock Price: USD 171.10 (As of February 16, 2023) 9. Deepmind Started in 2010, Deepmind is a research laboratory with a team of scientists, engineers and ethicists innovating AI. It’s headquartered in London with offices in other parts of the world like Canada, France and the United States. , The company achieved success early on when its AlphaGo program became the first to beat the professional Go Player. After partnering with Google in 2014, Deepmind was able to develop programs that detect eye diseases. According to BBC Its innovative AI is used to personalize recommendations in Google Play and predict patient deterioration in the U.S. Department of Veterans Affairs. Launched: 2010 Employees: 1000+ Stock Price: USD 96.94 (As of February 16, 2023) 10. Samsung Samsung is bringing forth its research in AI to build innovative solutions and smart devices. Samsung’s AI is currently focused on AI Fundamentals, Language and Voice AI and Vision AI. The company has expanded to five countries and established 7 AI centers in Korea, the UK, Canada, Russia and the USA. At , the company unveiled its vision of innovating technology with AI-based semiconductors. Samsung became one of the first to create AI chips using Synopsys AI software. These AI chips, called the , are used in most of the Samsung smartphones built today, like the Galaxy S20 and the Note 10 Lite. Samsung AI Forum 2022 Exynos Today, the company’s list of smart devices also includes the AI EcoBubble washer, which analyzes the patterns and determines the best washing cycle for its users. Launched: March 1938 Employees: 266,000+ Stock Price: 63,700 KRW (As of February 16, 2023) 11. Neuralink Neuralink is a neurotechnology company based in the US and owned by Elon Musk. The company's purpose is to find the brain-computer connection and build a chip that can be implanted surgically in the skull. The chip will be called the N1 chip with an 8mm diameter and electrodes and insulation for the wires. In 2021, Neuralink made a showing a monkey with a brain chip playing a video game. According to , the chip may help bring back someone’s eyesight and fix any damage to the brain. video Musk Founded: 2016 Employees: 300+ Stock Price: USD 0.000008668 (As of February 16, 2023) Final Words: What Is the Future of AI? From AI software writing an entire novel to a chip that can control humans using an app, AI innovations are not easy to comprehend. But these companies have the resources, the skills and the determination to build something big in this direction. Our list of the Top AI development companies includes the leaders that are commanding the AI industry today. Soon, AI will take over every sphere of our lives and become an indispensable aspect of every business.

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Streamline Your Content Creation with ChatGPT Prompts TL;DR: Explaining AI content generators AI Prompts for Keyword Research AI Prompts for Blog Headers AI Prompts for Blog posts AI Prompts for UX Design AI Prompts for Product Descriptions AI Prompts for Social MediaAI Prompts for Keyword Research What Is an AI Content Generator? You’ve probably heard of ChatGPT by now, but what exactly is it? ChatGPT is “an AI-powered chatbot developed by OpenAI, based on the GPT (Generative Pretrained Transformer) language model. It uses deep learning techniques to generate human-like responses to text inputs in a conversational manner.” An AI content generator is a machine-learning technology that enables computers to automatically generate content. This content can include anything from blog posts and articles to social media posts and tweets. What Is an AI Prompt? Before ChatGPT can help you, you need to tell it what you want. A prompt is like a customized order at Starbucks, where you have to tell your barista what you want if it isn’t on the menu. A prompt is a short piece of human-supplied text that serves as the starting point for ChatGPT’s response. ChatGPT will generate a response according to the prompt. From simple questions to full-blown code, there are lots that this tool can accomplish. Below, we have listed some of our very favorite and effective prompts for you to try yourself. Here Are Some Tips to Help You Write Better AI and Chatgpt Prompts: Specify exactly what you want the AI tool to write about. Give sufficient context about the topic of your post, as well as your tone of voice, target audience, and desired result. Define any restrictions, such as content length, tone, style, or topic you want the AI to avoid. Do note that knowledge is still limited to data, so it might be wise to cross-check the information with a tool that has real-time capabilities. ChatGPT’s 2021 AI Prompts for Keyword Research Write a list of keywords related to this topic: <insert topic>. Write a list of long-tail keywords for this topic: <insert topic>. Write a list of potential search queries a user might enter to find information on this topic: <insert topic>. Write a list of potential questions a user might have about this topic: <insert topic>. Consider the following set of keywords and their volume <Paste your keywords + volume data> Find the most suitable terms to set as primary & secondary keywords. Generate a table with columns for a keyword, volume, and primary/secondary. Cluster the following keywords into groups based on their semantic relevance: <insert list of keywords>. Identify the search intent of the following keywords <>. Classify the following keyword list in groups based on their search intent, whether commercial, transactional, or informational: <insert list of keywords>. AI Prompts for Blog Headers Write a list of actionable blog titles for this topic: <insert topic>. Write a list of descriptive blog titles for this topic: <insert topic>. Write a list of blog titles at include a call to action on this topic: <insert topic>. Generate <X> unique title tags, of a maximum of 60 characters, for the following text. They should be descriptive and include the term <insert keyword> in them: <insert a paragraph or more of text>. Generate <X> unique meta descriptions, of a maximum of 150 characters, for the following text. They should be catchy with a call to action, including the term <insert keyword> in them: Write a list of log titles that include a list or number on this topic: <insert topic>. Write a list of blog titles that include keywords related to the topic: <insert topic>. Write a list of blog titles that include a question on this topic: <insert topic>. Write a list of blog titles that include a statistic on this topic: <insert topic>. AI Prompts for Blog Posts What are the pros and cons of <product/service/topic>? What are the most common misconceptions about <topic>? Generate a list of blog topic ideas within <industry/niche>. Write a list of potential headings and subheadings for a blog post on this topic: <insert topic>. Write a list of potential sections for a blog post on this topic: <insert topic>, targeted at < >format with headers, sub-headers, bullet points, include an SEO title, H1 descriptions, and Meta description. inset target audience Answer the following question in a short paragraph: <insert question>. Write a FAQ section about <insert topic>. AI Prompts for UX Design Create a persona of a [lawyer] based on a [Saul Goodman from “Better Call Saul]. 2. Challenge a [dashboard design] by coming up with what-if [functionality] questions. 3. Create a text-based excel sheet to input your copy suggestions. Assume you have 3 members in your UX writing team. 4. Act as a user researcher for a <product>. Pretend I’m a user and ask me questions about my experience. 5. Brainstorm ideas that prompt the user to collaborate with their team members in a [saas platform]. 6. What are the UI cases that need to be considered when designing a <product>? 7. Generate a typography style guide for a [mobile application] in excel format. AI Prompts for Product Descriptions Write a sophisticated paragraph about this <insert product name>. Write a list of emotional benefits for the features above. Write a compelling value proposition for <product name>. Given the key features, write a <insert adjective> paragraph that will move customers to action in buying <insert product name>. Write an AIDA about this product. Create a product description using the above product technical details. What should I include in my product homepage about <insert product description>? AI Prompts for Social media Youtube Write a YouTube video script for a video titled <“13 ChatGPT prompts for marketers”] where the 13 points are as follows: 1. Write compelling headlines 2. Write blog posts 3. Write product descriptions 4. Write LinkedIn posts 5. Write Instagram captions 6. Write YouTube video scripts 7. Design graphics for Canva 8. Write lead generation quizzes 9. Write website copy 10. Write newsletters 11. Write sales emails 12. SEO research 13. Create step-by-step guides.> Ads Generate a 2-minute video script for a Facebook ad campaign promoting our new service <Service description>. Create two Google Ads in an RSA format (using multiple headlines and descriptions) for an A/B test for “your company” Explain why the ads would make a good test. Instagram Write a 100-word Instagram caption on <topic>, in a friendly, informative tone, and insert top trending hashtags. Come up with 5 points for a carousel about <topic>, targeting <target audience>. Twitter Imagine that you are an expert in <topic>, write a 10-tweet informative Twitter thread about <inset topic>, and use “✍🏻” as bullet points. Write in the third person about an experience specific to <topic>; the goal is to be relatable and funny. The tweet is to be posted on a community channel. Create a content calendar with 5 main content pillars <pillar 1>, <pillar 2>, <pillar 3>, <pillar 4>, <pillar 5>. Come up with a list of topics that can be turned into a Twitter thread, and organize the information in a table. LinkedIn Generate 5 topics for LinkedIn about <profession or topic>. Assume the persona of a Product Researcher, and provide a UX research tip for a LinkedIn thought leadership post. Keep the post short, and use sentences that are punchy and concise. The tone should be informative and helpful. Write a LinkedIn post caption with the title “How To Start Writing”; call to action with an article link, make the text sound more engaging, and insert some humor, but make sure it is still clear and actionable. Use “✍🏻” as bullet points. Influencer Brand Deals What factors should I consider when quoting for a brand deal with a candle company, and what ballpark range should I charge? The scope is to post 3 videos on TikTok, and I have 100,000 followers. Imagine that you are a beauty influencer that just got your first brand deal with Loreal. Negotiate your terms, rates, and your content deliverables with the client in email format. Use Headers and bullet points to organize the information. ![ChatGPT prompt for influencer brand deal negotiation ](https://cdn.hackernoon.com/images/VWQsiHBeEtbDEwwLOtv5m67Gmc32-01h3pw1.png) Hope this was helpful, let me know if you have any tips on using ChatGPT more efficiently. Referenced: Metanshi Blog Tryinteract Eternitymarketing Farah Hairi About The Nimble Novice is a passion project where I document my learnings about everything and anything. I am a content strategist/ designer, writer, and lifelong learner. I have many interests, but I mostly write about freelancing, productivity, digital marketing, crypto/blockchain, and occasionally, pop culture. | | | Linkedin Twitter Work with me Lemon8 Also published here

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Many still think of augmented reality as a fun toy. Often, the first thing that comes to mind when thinking about AR is Pokemon Go. But this perception is changing. Already, 76% of people expect to use AR as an everyday tool. By 2025 4.3B people will use AR frequently, compared to 2.2B people in 2022. Augmented reality is becoming the new norm for shopping. Companies around the world adopt AR and VR, so the market is booming. . It will grow up to $252B by 2028 Let’s dive into AR to see how companies use it today. Why Is AR Getting Popular? There are a few reasons for that. First, AR makes a great product description. It’s much more immersive than traditional photos and videos. With an AR app, you can fit a sofa into your apartment before buying it. It’s convenient. Second, it’s hip. Like it or not, but we live in a world where companies are fighting for your attention. AR is fresh; many industries don’t have AR solutions yet. Right now AR is a way to stand out. Third, the trendy Metaverse relies on AR. The growth of one will cause the other to grow too. Fourth, it lowers costs. An AR app can often replace a visit to a specialist. For example, some tools will help you with minor home repairs. Finally, it makes education more efficient. Businesses can use the technology to train their employees. For example, cooks in restaurants can learn recipes with AR glasses. The program would guide the cook to the correct ingredient and give instructions how to use it. All of that increases brand loyalty. That’s why companies use AR more and more. What AR Solutions Are Companies Building Now? Apps That Place Furniture Into Living Rooms It’s tricky to buy big items like furniture or a TV. You have to make sure that they will fit into the room. It’s a terrible feeling to buy a sofa only to realize that it doesn’t look very good inside. Once you bought a large item, it’s also not so simple to move around the apartment. So it's best to plan the layout ahead, and AR will help. That's why many furniture retailers have apps that make it easier to place items around before purchasing. IKEA was the first company to bring AR to the furniture market. If you have a phone, you can see what the sofa will look like in your apartment. This makes customers more confident about shopping. It increases conversions and lowers the return rates. Trying On Clothes & Accessories Another good application for AR is fashion. One example would be Farfetch's mobile store with integrated AR. Now, customers can try on sneakers at home. In their case, adding AR . increased unique product viewers by 580% Another example is that lets you try on glasses. Warby Parker’s app Buying glasses online is harder than buying clothes. It’s difficult to know in advance if the frames will fit. With a shirt you know your size, but with glasses it’s another story. Finding a pair with the right shape and width is a challenge. The AR app solves this issue. With the app, you can try on frames virtually. Customers feel safer buying online, and Warby Parker makes its business more cost efficient. It’s a win-win. Makeup Try On Buying makeup online used to be tricky. You could never know if the color was right. So, many women used to buy makeup in brick-and-mortar stores. This way they could try on lipstick and eye shadows. AR solves this issue as well. Companies like L’Oréal release makeup try-on apps. This increases customer confidence dramatically. In the case of L’Oréal, . AR technology tripled conversion rates User Manuals That Are Simple & Clear Let's face it, most people don't like reading user manuals. In most cases, they are just not simple to go through. With AR, user manuals can be much easier to follow. This makes customers more loyal to the brand. An example would be Hyundai's manual. It makes simple car maintenance available to everyone, and people love the app. Take a look at the promo video and the enthusiastic comments it gets: Hyundai's wild augmented reality owner's manual — CES 2016 I Get It, AR Is Getting Everywhere. So What? AR is getting better and more popular every year. As the gets more popular, so will AR. After all, it is the technology that the Metaverse relies on. Metaverse But it is still a new technology. There’s a lot of potential to it and many industries still don’t have AR solutions. Think about your business field. Can AR help you grow? Do your competitors already use it? Right now there’s a window of opportunity to stand out among your competitors. It might be the time to consider AR for your business.

AR Is Changing Online Shopping: What Does It Mean For Businesses?

🦧 Yuga Labs acquires WENEW WENEW, which was co-founded by the famous artist “Beeple”, has collaborated with a number of brands including Gucci, Playboy, and Wimbledon. . More 👟 Nike launches new web3 platform .Swoosh Swoosh is the home of Nike’s web3 efforts. In collaboration with Polygon, the platform allows Nike’s community to ‘co-create the future of Nike’, access virtual events, purchase Nike’s digital wearables, and unlock real-world benefits such as physical apparel and access to pro athletes. Nike plans for its creations to be interoperable among metaverses and blockchain games. More. 🧢 Adidas’s World Cup teaser features a Bored Ape Adidas’s Indigo Herz Bored Ape NFT, which the brand purchased last September, featured in the advert alongside Messi, Benzema, and Stormzy. . More 💆‍♀️ Dove Pakistan launches NFTs in the campaign to help damaged hair As part of the campaign, 10 winners will be chosen to win NFTs that grant their owners real-world benefits including a year’s supply of Dove shampoo. . More 🍏 Job posting suggests Apple plans to build its own metaverse The job post suggests that the technology giant is looking for engineers who can develop a 3D mixed-reality world for its coming headset. . More 🚘 Skoda enters the metaverse In the Skodaverse, users can drive the newest ENYAQ Coupé RS iV model, create custom avatars, & interact with Skoda’s NFT collections. . More 👑 Harry and Megan Markle to launch metaverse experience The Duke and Duchess of Cambridge have partnered with the metaverse platform, pax.world, for the launch. . More ⚽️ Manchester United to gift first ever official NFTs to fans In partnership with their official sponsor, Tezos, Manchester United plan to give fans free NFTs to kick-start their move into web3. . More 🏈 Rarity league has released a set of officially licensed NFL helmet NFTs The collection will have utility on NFL Rivals, an arcade-style game where collectors can gain access to special events, in-game rewards, and more. . More 💄L’Oreal & Maybelline partners with Ready Player Me The partnerships with the leading interoperable metaverse avatar platform enable brand-customized hair and makeup styles for avatar characters. . More 🟡 Cristiano Ronaldo launches NFT collection in collaboration with Binance The CR7 NFT collection will be Ronaldo’s first official NFT drop. . More 👚Adidas Originals reveals new 16-piece NFT collection of interoperable virtual wearables The wearables were airdropped to Phase 2 Capsule NFT holders. The wearables can be worn by virtual avatars and have been designed to be interoperable with other identity-based projects and metaverses. . More 🥤PepsiCo India to launch NFTs for Indian customers celebrating Pepsi Black The Pepsi Black Zero Sugar collection will feature 20 NFTs. The NFTs will be given away to the winners of the #PepsiBlackeffect challenge. . More 🪞Charlotte Tilbury unveils 3D virtual store Charlotte’s Beauty Realm is the brand’s first virtual store and comes with a gaming experience. The store is launching in the experiential e-commerce platform, Odyssey. Visitors will be able to buy products in the store. . More 💇🏾‍♀️ TRESemme enters the metaverse The TRESverse will feature a virtual salon, where users can style their avatars. . More 🎾 ATP Tour announces upcoming data-driven NFT collection The LOVE collection comprises 300 NFTs based on data from the Nitto ATP Finals and was created in collaboration with Art Blocks Engine & artist, Martin Grasser. . More 👗 Givenchy and Bstroy launch NFTs alongside a new physical collection LVHMs Givenchy has partnered with the streetwear brand to offer free NFTs to purchasers of the new clothing line. . More 🥣 Kelloggs’ Poptarts creates in-game NFT characters for Blankos Block Party Poptarts’ NFT characters will be playable within the NFT-based game. . More 🏎️ Azuki featured on Red Bull F1 cars for the last race of the 2022 season Azuki #8494 could be found between Tezos and Bybit. . More 🥃 Johnnie Walker lets NFT holders vote on the design of a new bottle The leading whisky brand has partnered with artist VANDYTHEPINK to submit designs for the bottle on which NFT holders will vote. The design with the most votes will be used for a new exclusive range of Johnnie Walker Blue Label. . More 💔 A number of NFT collections are stuck on the currently disabled FTX NFT marketplace Brands including Tomorrowland, Coachella, Steph Curry, Mercedes & the Golden State Warriors all have their NFTs stuck on insolvent FTX, leaving fans unable to interact with their collectibles. The brands are actively looking for solutions. . More

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Rastreador semanal de la marca Web3: plataforma Nike Web3, NFT del Manchester United y más 🔭

Suivi hebdomadaire de la marque Web3 : plate-forme Nike Web3, NFT de Manchester United et plus 🔭

साप्ताहिक वेब3 ब्रांड ट्रैकर: नाइके वेब3 प्लेटफॉर्म, मैनचेस्टर यूनाइटेड एनएफटी, और अन्य 🔭

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GM. It's Crypto Player One, the first and only daily newsletter on crypto gaming. We are the Drake of web3 gaming, consistently giving you the hits. Here's what we have for you today: Daily Trivia. Sony is dipping its toes in blockchain tech. In Other News. Daily Trivia Who are the original designers of the Mortal Kombat franchise? Scroll down to find out the answer. Sony Files a Blockchain and NFT-Related Patent Sony has a new patent that will allow them to track changes in ownership, metadata, and visual appearance of digital assets. These assets could be moments of gameplay, in-game characters, or items. According to the patent, Sony can track the history of the in-game items and see all its previous owners. They want to use a blockchain to record these items and include a token with a unique identifier. Last year, PlayStation (owned by Sony) filed this patent before gamers started losing their minds about gaming NFTs. Still, Sony and PlayStation have played around with NFTs in the last few months. During the EVO 2022 event, Sony asked fans what kinds of NFTs they would want to buy. Also, Sony partnered with Theta Labs to launch an NFT collection. PlayStation has its own Stars rewards program that features digital collectibles. The company has said that these items "are not NFTs" because you can't trade them. But with the new patent, it looks like Sony plans to explore and experiment on the blockchain. This is ultra bullish for the blockchain gaming space because Sony is one of the biggest game publishers. In Other News L’Oréal partners with the leading cross-game avatar platform, Ready Player Me. Polycade and Atari team up to create Web3 games and art collections. The layer 1 blockchain Aptos will partner with a South Korean gaming studio to focus on web3 gaming. Answer Ed Boon and John Tobias. New to the Newsletter? Sign up to get the first and only daily newsletter on web3 gaming — it’s free! Photo by on Nikita Kostrykin Unsplash

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