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Vintage

YouTube's Jacob Starr is a vintage fashion content creator who specializes in thrifting. For over 10 years, Starr has traveled around the country visiting various thrift stores. He has a

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Vintage Fashion YouTuber Shares 5 Ways To Save Money Thrifting

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Xavier Woods

Offers

NFC South

Veteran safety Xavier Woods is entering his second season with the Carolina Panthers and after coming oh so close to clinching a playoff spot a year ago, he believes it's right there for the taking in 2023.

Xavier Woods Offers Thoughts on Bryce Young & Panthers' Chances in NFC South

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Sports Illustrated

Focus

Sharp Corporation

2007–08 Writers Guild of America strike

In its heyday, “ER” would keep about 75 background actors on hand per episode to be called up as needed to fill out scenes in hospital corridors and whatnot. On Tuesday, about 75 “ER” alumni filled the sidewalks outside the show’s old studio on ...

‘ER’ Writers Reunion on WGA Picket Line Puts Sharp Focus on What TV Has Lost Amid the Streaming Boom

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Connecticut

Overseas manufacturing, the low price of generics and other factors lead to a shortage of important drugs for cancer and other diseases.

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CT health experts seeing spikes in drug shortages. ‘I view this as a national health emergency.’

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Hartford Courant

Founded by Blake Alma, CoinHub utilizes platforms like TikTok, Instagram, and Whatnot, amassing over 1.7 million followers and conducting thousands in sales weekly. With a best-selling Amazon book and a major presence on Whatnot, CoinHub is bringing coin ...

CoinHub Revolutionizes Coin Collecting Industry Through Social Media and E-commerce

The Buffalo News

The Spectator

Dragon

Broom

There is a discernible fraction of punters who cannot come at anything that smacks of fantasy (or at least nothing short of the art to be found in Shakespeare’s romances): they cannot abide the magic shadow of dragons and broomsticks and whatnot as ...

Dragons, broomsticks and whatnot

spectator.com.au

New Orleans Saints

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The livestream event will take place on Tuesday, May 9 at 7 p.m. CT on Whatnot, and will auction off a variety of Naruto collectibles, including Naruto Funko Pop! signed by Flanagan, Naruto action ...

Saints' Jamaal Williams Using Passion of Naruto to Launch Foundation

THE TWO TEAMS EACH MADE UP OF YOUTH AND POLICE OFFICERS. I NEVER PLAYED WITH LIKE OFFICERS AND WHATNOT, BUT LIKE, IT WAS A NEW EXPERIENCE. LIKE BOSTIC WITH THE ASSIST HP AND THE KENOSHA BALLERS FACE.

'Bigger than Basketball': Games honor victims, survivors of violence

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TL;DR: Follow these experience tips to improve your technical articles. Background My name is Maxi Contieri. I am From Argentina. I've been teaching and working in the software industry for almost 30 years. I had written 0 Articles before the covid-19 pandemic. Now, I've written 300 and counting... Here are a couple of tips for blogging. These are the pieces of advice I learned on my journey. Do's Find a Niche Find something you are passionate about. Ideally, you should be a bit out of your comfort zone. Do your research and learn new things. You can do some SEO research to maximize engagement, but I encourage you to write about your passions. Find a Community Follow the right people (takes time) on social networks, forums, blogs, Discord, etc. Don't mix personal social networks with professional ones since this favors . procrastination I use , , , and for professional usage. Twitter Linkedin Discord RSS feeds I have TikTok, Instagram, and other RSS feeds for personal/joy. Create Article Templates Use them as your signature. Starting from an empty structure is much better than working from a blank canvas. Here's an example from my code smell series. Use the Right Tools Most writers use tools like these (especially if English is not your mother language, mine isn't). (Free version is OK to start) Grammarly Hemingway Editor Online spelling and grammar corrections Back and-forth translators Plagiarism Detectors GPT-3 rewriting tools , , and many others (credit their fantastic work) Unsplash Pixabay Create your own illustrations with , , or . Dalle-2 Stable Diffusion Midjourney By the way, this article photo by <a href=" ">Ryan Snaadt</a> on <a href=" ">Unsplash</a> https://unsplash.com/@ryansnaadt https://unsplash.com/s/photos/writer Create Your Own Tools You can develop your own parsing or validating tools or use open-source ones. Crossposting and Metadata Use the right SEO and Canonical Tools. Add some analytics to your blog (if available) and understand how people find your articles. Use Series Readers love to see short intertwined articles with cross-references to see how each article complements others. Add a TL;DR: s are a nice way to tell your reader you value his/her time. TL;DR Use Emotive Titles and Images We read all articles' titles and images and decide which we will read. Use emotional and . catchy headlines Don't lie or use click bait titles. Humans don't like cheaters and liars. This article's first heading was: Some tips to make good articles. Now it is: Many tips and tricks on how to make amazing content. Be Consistent on Case Conventions Choose some convention and stick with it. I prefer over Sentence case. Title Case Create Habits Writing is a habit. Read and hack your brain. how to master them Publish When it is Good Enough. Not Later Don't wait until the article is perfect. Do some proofreeding. Wait a couple of days and read it again. Correct the above word :). Gardening Keep your articles . alive and fresh Be ready to update them with constructive feedback and ideas from other people. Go revisit them often. Use (code) Samples People learn by examples, not by theoretical ideas. No matter how interesting the theory, fundamentals, and evidence are, readers will go straight to the examples. Productivity Hacks Follow some to stay focused. productivity tips You can set your own micro rewards, baby steps goals, , and many others. disable all notifications Track Your Code Samples Use a GIT tracker for your code samples and paste it on your articles. Don't use iframes since they are slower and might not load on every device You can put your code using markdown comments to track hidden external references. Check Your Articles on Mobile Devices You probably write and test your articles on a personal computer. Your readers won't. Be sure to use AMP/PWA pages and . narrow code blocks Don'ts Write draft Ideas Don't keep work-in-progress articles. Enjoy the momentum. Ride the wave! Open Too Many Tabs Don't keep too many ideas or too many tabs. Address them and close them. Styling Don't styling. abuse People of trying to their . get tired find meaning Avoid Passive Voice Passive sentences slower than active ones. are read You active sentences faster than passive ones. read Don't Write as You Speak We talk and write using different structures and grammar. You need to write very short sentences. HemmingwayApp does the magic for you. Fight the Impostor's Syndrome Be ready to fight impostor syndrome. You are not the most suitable person to write nor will you ever be and no one is born an expert. Fight Perfectionism One not-perfect published article is better than 10.000 ideas Don't Feed the Troll People have opinions. Answer and with nice people. discuss You can learn new points of view from them. Don't feed the trolls. Use available moderation tools. Practice, Practice, Practice If you build it, they will come.

What to Do and What Not to Do in Content Creation

This article provides tips and support for those interested in preparing for the CISSP exam. What is the CISSP exam? The Certified Information Systems Security Professional (CISSP) is a valuable information security credential. According to , the demand for professionals certified in CISSP is growing. ZipRecruiter states the US national average of a CISSP certified individual is a well-paid $125,470. Cyberseek annual salary My Story: The Time I Took the CISSP Exam A few years ago, a friend suggested I take a course on cybersecurity from her training company.  Little did I know I had actually signed up for a CISSP preparation course. I told another friend I had signed up for the course and he remarked it might be a little hard for me considering I had no IT background. Feeling a little uncertain, I almost decided to back out of the class. Though I was not trying to change careers, the trainer convinced me to continue with the class. She told me I would get a lot out of the class even if I did not understand all of it. It sounded like an adventure, and of course, I did not realize what I had gotten myself into. I did not know the magnitude of the CISSP test or how much effort it would take to prepare. On the first day of the class, the cybersecurity teacher said to all the students, “Go ahead and schedule your CISSP test. It will help you with your test preparation.” I did. I scheduled it right after the last day of the 3-month cybersecurity class. I don’t regret it - even though ultimately I failed. I took the cybersecurity class and I started learning new ideas. The class was interesting and the teacher made it humorous. I read a couple of textbooks that were recommended. I kept learning. By this time, I realized I would not be able to pass the test I had scheduled only a few days away. I swallowed the $50 exam reschedule fee, and I rescheduled my exam. I kept reading about cybersecurity to keep learning. The pearls I have learned resulted in this CISSP preparation guide. CISSP Preparation Resources I Tried All the resources I used to study for my CISSP exam were high quality in my opinion. My biggest concern is that I did not use them properly. I used this resource as my main CISSP study guide: . Mostly, I read this book and its earlier edition like a novel. Several people told me not to do that, but the book is thick and heavy! The prospect of making hundreds of physical flashcards did not appeal to me at all. In hindsight, I could have used or to make better flashcards. Hindsight is 20/20. (ISC)2 CISSP Certified Information Systems Security Professional Official Study Guide & Practice Tests Bundle Anki Quizlet Well-meaning friends “Make flash cards!” - I did not end up making flash cards until rather late in my CISSP studying process. There was a lot of vocabulary and acronyms that were new to me. Using flash cards would have been an excellent way to test my knowledge. I could have studied a few flash cards every night before bed to prepare for my CISSP exam. Pluralsight and O'Reilly Media Video Courses There are many study materials on these sites to help you prepare for your CISSP exam. These online libraries have great CISSP courses; one on is Sari Greene’s video course which was high yield. Another option that I used was . O’Reilly Media Pluralsight Despite this, what I learned about video courses for CISSP exam prep is that they lulled me into a false sense of security. By watching the video course, I thought I had studied, but actually, I had only taken in information passively. I found that taking in information passively delayed my learning. When I watched a video only one or two times, I found I would not be able to recall the information as well as if I had taken notes or used flashcards on that information. I watched several videos on CISSP preparation, but I think I could have used that time better had I engaged with the material in an occasional study group, with flash cards, or just simply taken notes as I read the study guide books. A big part of engaging with the material is testing what you know. It’s easy to avoid self-testing early in your CISSP studying process because it's not very motivating if you get a bad result on a practice exam. I learned that is exactly what I should do when studying for the CISSP exam! I needed to be testing myself early in my study process. Not engaging with the material was an important problem for me, and it's one of the key reasons I failed my test. Linkedin Learning had numerous basic courses on cybersecurity including CISSP preparation which I watched and found helpful. These courses helped me pass the CompTIA Security+ exam. LinkedIn Learning Thor's Udemy Course I used some of the hard practice tests from to self-test before I took the exam. I think I had waited too long to use these practice exams. Ideally, I would have been doing them from the beginning rather than at the tail end of my CISSP exam preparation. Thor’s Udemy course Create a Manageable Study Schedule to Prepare for Your CISSP I did not have a study schedule. Because the CISSP test covers so much material, it's a good idea to break the domains into smaller manageable chunks. Do not get overwhelmed. Starting your studying by creating a study schedule is a good idea. It can even be on your Google calendar. Get a CISSP study guide book and some practice tests. Create a simple study schedule in which you read 1-3 chapters per week while making flash cards. Read some flash cards every night before bed. Then self-test 1-3 times per week with practice exams. Take breaks when needed, but do not push your test back. I kept pushing back my test date because I did not feel ready. Do not do this. Use your exam date to motivate you to study for the test and use your study schedule to keep you on track. Don’t Underestimate Your Work Experience Work experience (even volunteer work experience) in the security field would have been helpful. The CISSP exam is an expert-level certification. If you do not have experience in technology or security, you will be at a disadvantage. I did not have any work experience in cybersecurity or even with technology. Basic practical knowledge is just as important as knowing the theory when it comes to preparing for your CISSP exam. What I Might Do Differently Next Time If I were to retake the CISSP exam, I might try these resources next time to help me prepare: has an excellent question bank for CISSP preparation that is not too expensive. They sometimes have sales on their CISSP test prep materials. The problem for me was that I was using a Mac and not a Windows computer. The program’s specifications they had at the time required a PC. Boson - I have not tried this though I have been getting numerous emails about the official test prep materials. It might be a good opportunity for those seeking to ace the test. CISSP official practice materials Key Take-Aways to Prepare for the CISSP Exam Make a study schedule. Do not reschedule your test. Find ways to actively engage with the material. Consider getting work experience if possible. Try again if you fail. I learned having a regular study schedule would have been a better, more organized way for me to study for the CISSP exam. I would have done better if I had made more flashcards and reviewed them more often. Testing yourself with small quizzes and practice tests would be a good idea. I hope you can take this knowledge so that you do not make the same mistakes I made. Proper preparation can lead to success! Take this CISSP preparation guide and use it to ace your test.

CISSP Preparation Guide: What to Do and What Not to Do

With the advent of global equity and digital currency markets, trading has become more accessible to ordinary individuals than ever before. While there is no denying that effective trading can be immensely rewarding and profitable, most asset classes are known to be unforgiving to even the tiniest of mistakes. The good news, however, is that most of these mistakes can be easily avoided with some prior knowledge and determination. In this article, we take a look at some of the most common mistakes made by amateur cryptocurrency traders and how you can avoid making them in your investment career. Not Setting Plans Ahead of Time Inexperienced and amateur cryptocurrency traders often make the mistake of entering and exiting positions without much forethought or planning, relying purely on their intuition instead. However, as with any other tradable market, too many wrong moves in quick succession can wipe out your entire built-up capital. The only way to avoid impulse purchases and panic selling are to ensure that every transaction has a purpose and is in line with your risk appetite. Risky situations like these can be easily avoided if you set price and time targets before opening a new trade. Contingency plans also go a long way towards protecting your original investment, in case a particular trade suddenly goes south or does not perform as expected. Knowing the exact entry and exit points for trade are only half the story, however, especially since inexperienced traders are known to deviate from their plans every now and then. While timing the market or trading based on short-term price movements may yield some profit every now and then, the cryptocurrency market’s volatility and uncertainty make these strategies unreliable at best and financially dangerous at worst. Even professional investors and hedge fund managers delineate a clear goal before investing to ensure that they do not get carried away by emotion. Multi-millionaire investor and crypto hedge fund firm founder, Anthony Pompliano, CNBC, told “Around $3,800, in March of this year, we put an investment on Bitcoin for public pensions and obviously that investment is doing really well. We have a price target as to when we think that the longer-term horizon is and what I came out and said was $100,000 by December of 2021.” Getting Carried Away by Hype, Greed, and FOMO New traders are also significantly more likely to let greed and fear of missing out (FOMO) take control of their portfolios. During a bull run, retail investors and traders convince themselves that they are potentially missing out on great returns and enter a trade. This not only artificially inflates the cryptocurrency’s demand and price, but also sets them up for disappointment when the inevitable correction comes along. At that point, the vast majority of them are tempted to liquidate their position, cut any losses, and move on. Failing to Manage Expectations and Risk Assets that tend to offer high returns almost universally come with the caveat of high volatility or short term uncertainty. The cryptocurrency market is no exception to this rule and has been known to gain or lose 30% of its total market capitalization within a single day. In 2017, a few investors announced that they had taken a mortgage or loan to double down on their cryptocurrency position in light of the market’s recent stellar performance. In 2018, however, the cryptocurrency market shed billions of dollars in value, and likely wiped out any gains made by these investors. Put simply, do not trade with money that you cannot afford to lose. Applying for credit to trade in the cryptocurrency market is a slippery slope and not a sound financial strategy. Falling Victim to False Signals While market noise may skew a trader’s perspective, it isn’t nearly as destructive to their financial position as a well-executed scam. Pump and dump schemes, for instance, artificially boost the demand and price of a token, triggering investor FOMO and greed. As the price snowballs far beyond its original value, the scheme’s organizers sell their position and make a massive profit at the expense of other buyers. Perpetrators of scams generally target novice investors on Telegram, Discord, and other chat applications. Once a sufficient number of gullible participants have been reeled in, the organizers can execute the scheme in as little as . pump and dump 18 seconds While pump and dump schemes have been around for decades, regulatory involvement and crackdowns have more or less eliminated the vast majority of them from equity markets. However, the cryptocurrency market’s global and digital-first nature has allowed organizers of such schemes to reach a wider audience. Having said that, with a little bit of prior research and due diligence, you can easily discern scams from genuine, high-quality projects.

What NOT TO DO As A Cryptocurrency Trading N00B

What's not to like about the GB WhatsApp and other variants such as Yo WhatsApp or FM WhatsApp, especially for businesses? While we can all tell that Mark Zuckerberg is seeking the best way to monetize WhatsApp, which he hasn't quite figured out, he also has to take the best features from other variants. Truth is that in a comparison of, “WhatsApp vs. GB WhatsApp”, most people would prefer the GB WhatsApp features even though it’s not officially available in the PlayStore nor Apple Store. “Hi, My friend tell me you do writing. I have this task I want done can you help me?" That was a message I got from a client some months ago through WhatsApp. Obviously, the written English is incorrect. The person's nickname is Persian. An immigrant in the United States with almost no proficiency in English had sent me an English message on WhatsApp. How? She used GB WhatsApp, which allowed her the privilege of translating Arabic into English. I didn't know that was possible. So, why hasn't Zuckerberg adopted this for the official app? No one knows for sure. With over 2 billion users, WhatsApp remains the most used app globally (I do not mean t ). Although since Zuckerberg’s administration, some modifications have been made to the app, some are successful and many aren’t. It is no secret that Meta has been looking for a way to charge users for the app but hasn’t found the perfect way. he most downloaded in recent times Perhaps the is coming to WhatsApp Business? Meta Verified blue check With the innovation of business WhatsApp, Meta may just be able to offer more to its users than, maybe, regular WhatsApp. The team at Meta seems to have forgotten the essence of the app and is not bothered by the user experience. GB WhatsApp and other variants of the green app seem to have gotten ahead of the developers at Meta. There are exciting features offered to users for free that make life more comfortable than Mark Zuckerberg’s rigidity with the app. Although, getting these features for free on FM WhatsApp, Yo WhatsApp, etc., makes it even more difficult for Meta to monetize the features on its green app. Some features of the WhatsApp variants are resourceful, and after many years, Meta has begun to adopt these features, one after the other. There are things to learn and pick from the other apps to enhance the user’s experience. To give you a better idea, here are some cool (which are pretty much the same as other variants) that normal WhatsApp can take advantage of for a better customer or user experience. GB Whatsapp features GB WhatsApp Translate Feature for Multi Languages If not on the general WhatsApp, then on the Business WhatsApp, Meta should be massively exploring this feature. When messages drop on WhatsApp in an unknown language, the user can highlight them, and among the menu options (three dots on the upper right corner of the screen), they can choose the option to translate to their configured WhatsApp language or another. Similarly, there is an option to change a typed text to another person's language before it is sent. There is already a "Translate" sign on the right side of the text box. The current translations on the WhatsApp variant apps are still poor, so, we can trust Meta has better data for translation into more languages. Current 'WhatsApp Translate' languages available include Arabic, English, French, Espanol, Italiano, Russian, Portugues, Turkce, Indonesia, Hindi, German, Malay, Vietnamese, Tamil, Urdu, Gujarati, Punjabi, and Bengali. One could guess where the developers are from, by vetting the country with the most represented languages. Meta can do better with , and some others, as it currently attempts to on Facebook. African languages Airplane or Flight Mode Many people heavily depend on WhatsApp for their day-to-day activities (link). Instead of having to turn off one's data connection or WiFi if they want to do something important, users can set their WhatsApp to Flight Mode. An individual app being disconnected from the internet makes sense and will strengthen productivity, especially if one has to work online but needs minimal disturbance. Block WhatsApp Call Have you ever got bothered by a call from someone you didn't want to speak to over the phone? Yes, Zuckerberg can fix that by adopting this GB WhatsApp feature. When the user clicks on a contact's information, they can block them (the contact) from ever being able to call them (the blocker). Well, this may not be a professional feature, but those ladies who don't want a stalker disturbing them are going to like the feature. LOL. On a more serious note, the feature can be used to prevent calls after the close of the business day. WhatsApp Light and Dark Mode for The Outdoors Although this feature may not be needed by most people, some people will need it. Running a business outdoors with a phone is challenging. Phones with a general dark theme setting would need the light theme setting outdoors. So, with this feature a user can switch their WhatsApp to light mode without changing the entire phone's settings. This isn’t the best feature, but it’s still useful to have. Schedule Message Feature on WhatsApp Like Gmail and some smartphone messaging, you can now schedule when you'd like to send a message to someone. This can be a great feature for someone trying to follow up on prospects and leads, but understand they may likely forget. So, they can now send a message ahead of when they will have it delivered. That way, users do not have to bother about setting reminders to nudge a person. Visible “About” info under Contact For the longest time since the days of , users cannot see other users' statuses, now tagged "About." In the , the status (About) was displayed under a contact’s name, but now, no one sees a user's "About" info except when opening up the contact's info. According to a personal survey, most people do not visit their contacts 'about' information, unless it is a first-time chat. Business accounts may have more "about" clicks if they have product catalogs, but that isn’t the case for most people who could just send a direct custom order or who need inquiries from a business account before deciding on purchasing from them. 2go earlier days of WhatsApp GB WhatsApp, FM WhatsApp, etc. fixed that by making a user’s info show just on the chat page, beneath the person's name. For businesses, it is a good way to constantly remind their contacts about what they do, not just the regular pleasantries. The "About" in Meta’s app is almost redundant, offering no direct visibility of the message unless a user wants to forward a message to their contact. Status Post Downloads Zuckerberg's really don't move the masses anymore. The disabling of the profile picture download was so unnecessary. Many people cruise with their WhatsApp status posts. There is no point in not allowing people to download what they can see and take screenshots of. privacy talks Anyone who wants to make anything private would not bring it online—pictures, stories, videos! So, YoWhatsApp and other variants can save any WhatsApp story to the phone. It is also possible to share a user's display picture on GB WhatsApp. Users once had the profile picture download option and folder; now, it will be great to have it back. Then, the app will enable users to save GIFs, pictures, and other things directly from 'status'. For instance, a vendor posts their perfume on their WhatsApp status, and a potential buyer likes it but cannot afford it yet. The prospect wants to save the picture for when they will have enough budget for it. That's impossible except through screenshots. Why does it have to be lost in the pile of dry bones (unviewed pictures) sitting in the screenshot gallery folder? Lock Chat on WhatsApp For an app that claims to prioritize privacy, locking individual chats or conversations will be such a good feature to have. Financial transactions, legal conversations, or private discussions with associates can be locked, allowing only the owner of the WhatsApp account to access such conversations, if their phone was in someone else’s hand for whatever reason. Many users of the app will be glad to have the private "lock conversation" feature. With Yo WhatsApp, users can protect conversations via PIN, pattern, or fingerprint. The GB WhatsApp Features Meta has Already Implemented Recently, WhatsApp has copied some features from its competition. I say "Copy" because the other had those features first, and didn’t necessarily do the development work. Edit WhatsApp Message: In its more recent release, Meta has allowed the option to edit messages up to 15 minutes after they've been sent. That is a great start. So, say someone sent something wrong; instead of deleting it to type something new, the user could just edit it before the recipient opens it. It is still possible to edit after someone has read it, but they probably will not notice the message is edited, and what they first read stays with them. So, say, in an informal interview happening through chat, a writer has a typographical error in his message, which could cost him the job. He can quickly edit without screwing up his chance. No one loses an opportunity due to a typographical error faster than a writer. So, the adoption of the "edit" feature is great. However, for now, a user can only edit a message sent in the past 15 minutes; any longer than that, and it is impossible. Delete WhatsApp Message The popular GB WhatsApp “delete” feature from years ago made its way to the official app later.. Yes, GB WhatsApp brought the initiative of deleting messages; later, the WhatsApp team decided to adopt it. Initially, deleting WhatsApp messages was also possible within the first 15 minutes. After that window, it is impossible to delete them. Now, it has been extended for a few hours. That's a good improvement. Other Amazing GB WhatsApp Features: More features that Meta’s WhatsApp can incorporate into the app include searching the in-app web browser for images that can be shared directly with another user, "Go to first message", "Double-tap reaction" and "Who can call me". Conclusion Meta is fortunate to have a large following and users of its green messaging app. However, it doesn't seem like the company care so much about the user experience while in the race of . Many features would have benefited the app. Why don't they let their users have them? The features in the document will greatly benefit the app and its users, and perhaps in a business 'pro' version, they will be able to monetize the app. Businesses are the best beneficiaries of these features. On top of all of that, it will also be great to run incognito polls on WhatsApp, too. how to monetize the app Can you think of any other features that would be great to have too? You can suggest them in the comments; I'll be waiting for them!

GB WhatsApp Features that Meta Needs to Implement Immediately

AN ASCENT OF MONT VENTOUX

AI labs are creating a beast we cannot tame that could “manipulate people to do what it wants.” Elon Musk, ‘The Godfather of AI,’ and 50,000+ tech experts warn artificial intelligence could have profound risks to humanity. Many prominent figures have recently talked about AI and noted their thoughts on paper. Some urge seeing AI in a positive light, and others alarm that AI can have ‘profound risks to humanity.’ Some experts argue that AI & ChatGPT can act as a In workplaces, for example, AI can improve productivity by serving as a resource for employees to communicate with and save time on writing emails. ‘white-collar worker to help you with various tasks.’ In learning, AI can help identify what motivates students and what makes them lose interest and then deliver tailored content based on that information. It can also help teachers plan course instruction learning plans, help evaluate students’ knowledge on exams or certain topics, and support as a tutor in training. In healthcare, AI will help by completing paperwork, filing insurance claims, and empowering ultrasound machines that can be used with minimal training. Probably the most impressive part is that it can help people in impoverished countries who can hardly see a doctor when needed. After being introduced to ChatGPT, Bill Gates, the creator of the BASIC programming language for Altair 8800 and the MS-DOS operating system for IBM PC, was so impressed that he said: “I knew I had just seen the most important advance in technology since the graphical user interface.” He is adamant that “[AI] will change how people work, learn, travel, get health care, and communicate with each other.” In five years, AI may add more than $15 trillion to the global economy through advances in medicine, biology, climate science, education, business processes, manufacturing, customer service, transportation, and more. But AI, as with many new technologies, is making many uncomfortable. Elon Musk and Geoffrey Hinton are the latest to openly voice their opinions that AI comes with potentially destructive risks. Whichever group we belong to, we need to accept the fact: The AI horse has left the barn and is not coming back. Another fact may be that we’re risking in ways that could profoundly impact humanity. AI could ‘manipulate people to do what it wants Learning about AI’s risks is like going through a wormhole. The further you go, the darker it gets. On the eve of Monday, May 23, a controversial image of an made the circles online and took the world by storm. Twitter “blue ticks” jumped in to share it. The stock market wobbled, and the S&P 500 nose-dived by 30 points. explosion near the Pentagon complex This, unfortunately, is just the beginning of AI’s potential to spread misinformation, boost non-factual propaganda, and induce panic. Computer scientist Geoffrey Hinton, who got the nickname ‘The Godfather of AI’ because of his early work on algorithms that train machines that underline AI, recently told AI labs are creating a beast that will be hard to tame and that could be “manipulating people to do what it wants.” Times that New York He firmly believes that AI machines are designed to get more intelligent than humans, and what would take up to 50 years for his fears to become a reality, he now believes they may knock on our technology door “as soon as 5-10 years from now”. A few weeks ago, he left his part-time job at Google and stopped his contribution to the company’s Bard chatbot to tell a message to the world: “I want to sort of blow the whistle and say we should worry seriously about how we stop these things getting control over us.” The company behind the world’s most powerful AI chatbot to date, OpenAI, in a admitted that "At some point, it may be important to get an independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." recent statement The quote ended up being included in an pleading with policymakers to pause the development of AI systems stronger than GPT-4 from AI labs, a letter that has since been signed by likes of Tesla’s CEO Elon Musk, Apple’s Co-Founder Steve Wozniak, and 50,000+ AI and tech experts and enthusiasts. open letter The letter suggests that pausing the work from AI labs for at least six months is the only way to have enough time to prepare for adequate regulations and enjoy an “AI summer” without rushing for a destructive “fall.” Elon Musk raised many eyebrows when he , a company where he reportedly invested over $1 billion over time, for becoming a “closed-source, maximum-profit company,” which he says he “never intended.” openly criticized OpenAI Google’s Sundar Pichai didn’t come lightly with his statement about AI either, saying that its risks Google recently saw over get wiped off the company’s market cap because of an incorrect response by its newly released chatbot, Bard. “keep [him] up at night.” $100 billion OpenAI’s new GPT plug-in can even make decisions for businesses As if AI-powered chatbots were not enough, OpenAI’s renowned ChatGPT has recently announced a plug-in that allows AI to make decisions regarding its host. Major companies, including , , , and , have already integrated the plugin into their services. Expedia OpenTable Instacart Klarna Bank AI can now even complete everyday tasks on people’s behalf, such as ordering a drink, booking a hotel, or reserving the best possible seat in a restaurant. A new part of it, known as a “code interpreter,” can also write and execute codes on behalf of a business. And that’s hazardous from a security perspective. Or, as , a research scientist at NVIDIA AI, explained it: “[The next generation of] ChatGPT will be like a meta-app—an app that uses other apps.” Linxi “Jim” Fan The announcement of the GPT plug-in has since raised many eyebrows. One of them who doubts the safety of such a plug-in is Ali Alkhatib, acting director of the Center for Applied Data Ethics at the University of San Francisco. He argues that part of the issue with plugins for language models is that they could help to easily jailbreak such systems, warning that: “Things are moving fast enough to be not just dangerous, but actually harmful to a lot of people.” Going from content generation to taking action on people’s behalf closes the air gap of language models’ access to decision-making. “We know that the models can be jailbroken, and now we’re hooking them up to the internet so that it can potentially take action,” says , director of the Center for AI Safety. Dan Hendricks Hendricks suspects extensions inspired by ChatGPT plugins could simplify tasks like spear phishing or phishing emails. He added, “That isn’t to say that by its own volition, ChatGPT is going to build bombs or something, but it makes it a lot easier to do these sorts of things.” Kanjun Qiu, CEO of , adds that AI chatbots “could have unintended consequences.” For example, such a plugin could book an overly expensive hotel or distribute misinformation and scam. Generally Intelligent Not only that. GPT-4’s red team found out they could “send fraudulent or spam emails, bypass safety restrictions, or misuse information sent to the plugin,” as Emily Bender, a linguistics professor at the University of Washington, reported. The GPT-4 red team also admitted that because GPT-4 can execute Linux commands, it has the potential to explain how to make bioweapons, synthesize bombs, or buy ransomware from the dark web. Bender further added: “Letting automated systems take action in the world is a choice that we make.” Can AI transform industries that are all about psychology? ChatGPT has taken over the conversations online, from magazines to social media platforms like LinkedIn, on prompts to use for best results, opinions on its impact, and whatnot. Lots of these writings are even done by ChatGPT itself. Psychology and emotions are where AI and ChatGPT fail to impress. Let’s say, to write an up-to-date post when a social injustice has conquered the news or write an ad that connects with the audience’s emotions and offers genuine solutions to their pain points. The last time I asked ChatGPT, its answers were far from convincing. Basic, at best. That’s probably not the most impressive social media post about ESG. The limitation comes mainly because AI is not necessarily good at understanding the main concept of a human request, which leads to some bizarre answers. This is where psychology and human emotion in marketing come in. When it comes to SEO marketing, in her recent article, shares how her AI-generated article performed in search engines. Despite publishing the article on a completely healthy domain, the article ranked 45th for the same keyword, with a negative tendency of impressions. “I believe impressions will eventually drop to 0. That’s how AI content performs in organic search results today,” she wrote. Victoria Kuchurenko Some may argue that the software provides the results according to the prompts it’s asked for. That may be true to some extent. But not entirely. At its core, ChatGPT is run by AI, machine learning, and natural language processing (NLP), meaning it can offer as much information as it has been provided and how it has been programmed. , a marketing expert of 20+ years that has led some of the biggest brands in India and UAE, said no matter how good AI is, “it can not replace human creativity; it simply forces marketers to go back to the fundamentals of marketing, which is about human psychology, and problem-solving, creativity, and critical thinking.” But she also believes that AI will inevitably disrupt the marketing space and has major concerns about the direction of AI in marketing. Shagorika Heryani “The biggest danger is that the weaponization of information will become a lot scarier, especially with AI’s lack of limits to form opinions on politics, religion, and other sensitive issues, in ways we marketers could handle before.” Human marketers offer differentiation, a sense of belonging, community, and emotional connection for the consumer, something AI will hardly ever excel at. ‘A white-collar worker to help you with various tasks.’ But with lots of risks, too. “Do you think ChatGPT and AI will take over?” a friend asked. She is not alone in her doubts about the potential of AI to massively impact the future, negatively as much as positively. The bluntest answer to this question probably comes from ‘The Godfather of AI,’ who says, "It’s not inconceivable. That’s all I’ll say.” It’s time for AI labs to push some brakes and governments to develop “extremely powerful regulations” to limit AI’s risks for humanity. With the way AI developments are going, one thing is sure: the clock is ticking loudly.

Risks of AI: Why It’s Time to Consider the Warnings of Elon Musk and 50,000+ Tech Experts

Our Humble Helpers: Familiar Talks on the Domestic Animals by Jean-Henri Fabre, is part of the HackerNoon Books Series. You can jump to any chapter in this book here . THE EGG (Continued) CHAPTER V. THE EGG (Continued) “Let us return to the hen. We know the calcareous nature of the shell; now let us look at the structure. Open your eyes wide and look attentively; you will see on the shell, chiefly at the large end, a multitude of tiny dents such as might be made by the point of a fine needle. Each of these dents corresponds to an invisible hole that pierces the shell through and through and establishes communication between the interior and the exterior. These holes, much too small to let out the liquid contents of the egg, nevertheless suffice both for the emission of humid vapors, which are dissipated outside the shell, and for the admission of air, which penetrates within and replaces the evaporated humidity. “The presence of these innumerable openings is absolutely necessary for the awakening and keeping up of life in the future chicken. Every living thing breathes, and all life springs into being and continues through the action of air. The seed that germinates under ground must have air. Planted too deep, it perishes sooner or later without being able to rise, because the thick bed of earth prevents [ ]the air from reaching it. The egg must have air so that its substance, gently warmed by the brooding mother hen, may spring into life and become a little chicken; it must have it continually, shut up as it is in its shell. Thanks to the openings with which the shell is riddled, the air penetrates sufficiently to meet the needs of respiration; it quickens the substance of the egg and the little being slowly forming within.” 36 “One might say,” Emile here put in, “that these holes are so many little windows through which air reaches the bird in its narrow cell of the egg.” “These windows, as Emile calls them,” his uncle went on, “deserve our attention from another point of view. Eggs are a precious alimentary provision; the difficulty is to keep them for any length of time. If they get too old they spoil and give out then an infectious, bad smell. Well, then, what causes the eggs to spoil and changes them to repulsive-smelling filth is again air—the same air so indispensable to the formation of the chicken. That which gives life to the egg under the heat of the brooding hen brings destruction just as quickly when the warmth is wanting. If, then, it is proposed to preserve in a state of freshness as long as possible eggs destined for food, it is necessary to prevent the access of air into their interior, which is done by closing the openings in the shell. Several means may be employed. Sometimes eggs are plunged for a moment into melted grease, from which they are drawn out covered with a coating that obstructs all the orifices; sometimes they are varnished. The simplest [ ]method is to keep them in water in which a little lime has been dissolved. This dissolved lime deposits itself on the shell and closes the openings. These precautions taken, the air can no longer find a passage to penetrate into the interior and the eggs are preserved in good condition much longer than they would be without this preparation. Nevertheless they always spoil in the long run.” 37 “If I have properly understood what you have just told us about the need of air for the awakening of life,” remarked Jules, “eggs thus coated with varnish or lime will not hatch when under the brooding hen?” “Evidently not. Rendered impervious to air by the varnish, lime, grease, or what not, the eggs might remain indefinitely under the brooding hen without ever coming to life; for want of the quickening action of the air, life would no more awaken in them than in simple stones. You understand, then, that the method of preservation by means of a coating that closes the orifices of the shell must only be employed for eggs destined for food, and that care must be taken not to make use of it in those destined for hatching. “But this is enough about the outside of the egg. Now let us break the shell. What do we find within? We find a delicate membrane, a supple skin which lines the whole of the shell and forms a kind of bag, without any opening, filled with the white and yolk. When by some accident the limy coating is lacking, this membrane constitutes the sole covering of the [ ]egg—a covering as soft as thin parchment soaked in water.” 38 “Then soft eggs without any shell have this membrane all exposed?” queried Jules. “Exactly. A new-laid egg has its shell completely filled; but it soon loses some of its humidity, which evaporates through the orifices in the shell. A void is then created in the interior, near the large end, where the evaporation is most rapid. At this end, therefore, the membrane detaches itself from the shell that it lined and draws further in with the contents of the egg shrunk by the evaporation. Thus is produced at the large end a cavity which the air from outside enters and which for this reason is called the air-chamber. This chamber, wanting at first, grows little by little according to the space left by the moisture’s evaporation; consequently, the older the egg, the larger the space. If the egg is placed under the hen, the heat of the mother aids evaporation and causes the quick formation of the air-chamber. There gathers, as in a reservoir, the supply of air needed for the vitality of the egg and the respiration of the coming bird. So the empty space at the large end is a respiratory storehouse. “When you eat an egg boiled in the shell, break it carefully at the large end. If the egg is very fresh the white will be seen immediately under the shell without any empty space; but if it is old you will find an unoccupied hollow of varying size. That is the air-chamber. According to its size you can judge of the egg’s freshness. But it would be more desirable [ ]to be able to recognize, before using and breaking it, whether an egg is fresh or stale. I have seen the following means used, which would seem very strange if what I have just told you about the air-chamber did not furnish the explanation. The tip of the tongue is applied to the large end. If the egg is fresh a slight impression of coolness can be felt; if stale, the tongue remains warm. This little mystery is based on the different manner of behavior of liquids and gases when brought into contact with heat. Water and liquids in general take away rather quickly the heat of the bodies with which they come in contact; air and other gases, on the contrary, take it away very slowly. That is why water seems cold when we plunge our hand into it, while the air, lower in temperature, seems warm by comparison. In reality, if both be of the same temperature, air and water give us different sensations: water is cool to us because it draws our heat away; air warm because it does not take away that same heat. So if the egg is fresh, and consequently the shell completely filled, the tip of the tongue applied to the large end feels the same sensation as comes from contact with liquids; that is to say, a feeling of coolness. But if the egg is stale, an air-chamber has formed and the resulting sensation is that produced by contact with a gas; that is to say, a sensation of warmth, since the tongue loses none of its natural heat.” 39 “That is certainly a curious test,” said Jules, “and I shall make it a point to carry it out at the next opportunity.”[ ] 40 “Let us go on with the egg. Now comes the glair or white, so called because heat hardens it to a pure white matter. For the same reason, science calls it albumen, from a Latin word, albus, meaning white. The glair is arranged in a number of layers, which at both ends of the egg twist round one another and form two large knotty cords called chalazæ. To see these cords you must break a raw egg carefully in a plate. Then you can distinguish, on each side of the yolk, a mass where the glair is thicker and rather knotty. There, somewhat injured by the breaking of the egg, are found the two cords in question. To give you a clear idea, take an orange, put it in your handkerchief, and twist the latter in opposite directions at both ends. The orange in its handkerchief covering will represent the spherical yolk surrounded by the glair; the two twisted ends of the handkerchief will be the two strings of white, the two chalazæ. By means of these two tethers the yolk, the most important and most delicate part of the egg, is suspended as in a hammock, in the center of the glair, without being exposed to disturbances that would be dangerous for the germ of life situated at a point on its surface. This glairy hammock, with its two suspending cords, has another rôle—a very delicate one. The first outlines of the coming chick will appear at a certain point of the yolk. As the little being forms and grows, it needs more space while still remaining tightly enveloped and held in position so as to avoid the slightest disturbance in the half fluid flesh just beginning to assume its [ ]proper shape. How are these conditions realized in the egg? To understand the matter thoroughly let us go back to the orange wrapped in a handkerchief twisted at both ends. Is it not true that if both ends untwist a little, the orange, supposing it to need by degrees more room, will always find the necessary space without for a moment ceasing to be enveloped and motionless? In the same manner the suspending cords of the white slacken and gradually untwist as the little bird grows, at the expense of the yolk, in its soft hammock of glair; the needed space is made, and at the same time the feeble little bird remains just as finely swaddled and suspended in the center of the egg, protected from contact with the hard shell.” 41 “At the beginning,” interposed Jules, “you called an egg a marvel. I see that there are, in fact, in the egg things very worthy of our admiration: the shell, with its numerous air-holes; the cavity at the large end; the air-chamber where provision is made for breathing; the soft little bed of glair with its suspending cords that untwist to make more room, and perhaps that is not all?” “No, my friend, that is very far from being all. I limit myself here to the simplest things and those that are not beyond your grasp. How would it be if you could follow me in the unfolding of higher ideas? You would see how everything in the egg is arranged with infinite delicacy, with a foresight that we may call maternal, and then you would find my word marvel the right one. But, not to go beyond [ ]your small powers of comprehension, I abridge, much to my regret. 42 “The yolk or yelk (which means the yellow part) is round and bright yellow; hence its name. At a point on its surface, generally at the top, no matter what the position of the egg, is seen a circular spot, dull white, where the matter is a little more condensed than elsewhere. It is called the cicatricle, or little scar. That is the sacred spot where lies the spark of life which, animated by incubation, will quicken the substance of the egg and mold it into a living being; it is the point of departure, the origin, the germ of the bird. The yolk itself is the nutritive reservoir whence are drawn the materials for this work of creation. Quickened by the heat of the brooding hen and by the action of the air, it becomes covered with a network of fine veins. These swell with the substance of the yolk, which turns to blood; and this blood, carried hither and thither, becomes the flesh of the being in process of formation. The yolk, then, is the bird’s first food, but food that no beak seizes and no stomach digests, none being in existence yet. It changes to blood and afterward to flesh without the preparatory work of ordinary digestion; it enters the veins directly, and thus nourishes the whole body. “Animals with udders—the mammifers—also have nutriment for the very young in the form of milk, which is indispensable for the weak stomach of the nursling. Well, the yolk is to the bird in its shell what milk is to the lamb and kitten; it is its milk-food, [ ]as it can have no recourse to maternal udders. The popular saying has perfectly caught the strict resemblance: they call a drink prepared with the yolk of an egg, ‘hen’s milk.’ ” 43 “That is what Mother Ambroisine makes me take when I cough in the winter,” said Emile. “The delicious beverage that Mother Ambroisine gives you when you have a cold is very properly called ‘hen’s milk,’ since it is made with the equivalent of milk; that is to say, the yolk of an egg.” About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jean-Henri Fabre (2022). Our Humble Helpers: Familiar Talks on the Domestic Animals. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/67073/pg67073-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

THE EGG (Continued)

Field, Forest and Farm by Jean-Henri Fabre, is part of the HackerNoon Books Series. You can jump to any chapter in this book here . HISTORY OF THE POTATO CHAPTER XXI. HISTORY OF THE POTATO “Next to wheat no plant in our part of the world is of so much importance for food as the potato. Its use was not introduced into this country until toward the end of the eighteenth century. The first appearance of the potato among our people is a curious piece of history. Why should I not relate it to you? It will show you what noble efforts and perseverance are sometimes necessary to bring about the adoption, on the part of those wedded to blind routine, of the simplest, most natural idea, and one so rich in future possibilities. “The potato is native to South America; it came to us from the high plains of Colombia, Chile, and Peru. Its first appearance in Europe dates from 1565. A century and a half later the potato flourished in England. Its introduction into general use in France was slower. The first dish of potatoes, then a high-priced rarity, was served at the table of King Louis XIII in 1616. “The royal dish is to-day at the command of the poorest; but this was not effected without a good deal of trouble, as you will see. For a long time the American tuber remained in our country a simple object of curiosity to which were attributed injurious [ ]properties, and which agriculture would have nothing to do with. Finally, toward the end of the eighteenth century a worthy man succeeded in overcoming these prejudices and popularized the culture of this valuable food plant. His name is Parmentier. Remember this venerated name, my friends; he who bore it banished famine by making the potato supply the deficiency of wheat. 103 Potato “Parmentier communicated his ideas to Louis XVI. ‘The potato,’ said he, ‘is bread already made and requiring neither miller nor baker. Take it just as it comes out of the ground and bake it in hot ashes or cook it in boiling water, and you will have a farinaceous food rivaling wheat. Poor land unfit for other crops will raise it, and it will henceforth relieve us of all fear of those terrible dearths that France has so often suffered in the past.’ “Louis XVI listened to this proposal with eager attention, but the difficulty was to make others listen also. In order to interest the world of fashion in the culture of the disdained tuber the king appeared at a public festival one day with a large bouquet of potato blossoms in his hand. Curiosity was aroused at the sight of these white flowers tinged with violet and set off by the dark green of the leaves. They were talked of at court and in town; florists made imitations of them for their artificial bouquets; in ornamental gardens they were used for the borders; and as the surest way to royal favor the nobles sent [ ]potatoes to their tenant farmers with orders to plant and cultivate them.” 104 “Behold the potato fairly started on the right road!” interposed Jules. “It cannot fail to become popular now, under the protection of king and court.” “Not so fast, my little friend. Persuasion is a good deal better than command. The tubers patronized by royalty were thrown on the dunghill. At most, here and there a farmer, afraid of being reprimanded, allowed them to grow as best they could in some neglected corner.” “And then?” “Then the only thing to do was to convince, not the nobleman who cared nothing for the potato except as a means for winning the king’s favor, but the peasant himself directly interested in this affair. It was necessary to overcome his repugnance, a repugnance that made him reject the potato even as fodder for cattle; he must be taught by his own experience that the tuber of ill repute, far from being a poison, is excellent food. All this Parmentier thoroughly understood and he set to work without delay.” “This time he is sure to succeed.” “Not at first and not without great pains. In the suburbs of Paris he bought or rented for farming large tracts of land which he caused to be planted with potatoes. The first year the harvest was sold at a very low price. A few people bought some.” “Now we are nearing the goal.”[ ] 105 “Not yet. Good is not accomplished so easily. The second year the potatoes were given away for nothing. Nobody wanted them.” “And Parmentier was left with the whole crop on his hands?” “The excellent man could not find a welcome for a single basket of potatoes. In the country they laughed maliciously at his obstinacy in cultivating a vile root that no peasant would even feed to his pigs. But Parmentier did not despair. A singular idea came to him: to see whether the charm of forbidden fruit would not accomplish what he had failed to effect by his writings, his advice, his personal example, and his generous offers. “A large field was planted with potatoes, and when the crop was ripe a fence was built about the field as if to protect a most valuable harvest. And more than this, Parmentier caused it to be trumpeted abroad throughout the neighboring villages that it was expressly forbidden to touch the potatoes under penalty of all the rigors of the law against marauders. During the day the guards kept strict watch over the field, and woe betide whoever should try to climb over the fence!” “It seems to me,” said Emile, “that with all those prohibitions and guards and fences Parmentier was more likely than ever to have all his potatoes to himself.” “Such was not his purpose; far from it. The guards kept good watch during the day, but they had orders to stay at home at night and leave unmolested [ ]any who might attempt to get into the field. ‘What, then, is this plant that is guarded with such jealous care?’ the peasants asked one another, attracted by the strictness of the prohibitory measures. ‘It must be very precious. Let us try to get some when the night is dark.’ 106 “Some bold marauders climbed the fence, hastily pulled up a dozen tubers, and scampered off again, looking back to make sure they were not pursued. Not a guard was to be seen. Word soon spread that the field was not guarded at night. Then the pillage began in earnest: the tubers hitherto so despised were carried off by sackfuls. In a few days there was not a potato left in the ground. “People came and told Parmentier of the devastation of his field. The worthy man wept for joy; the one robbed blessed his robbers. By his ruse he had endowed his country with an inestimable food-supply; for, once placed in the hands of those who would consent to cultivate it, the potato was valued at its true worth and spread rapidly.” “Oh, what a curious story!” cried Louis, when Uncle Paul had finished; “what a curious story! Who would have thought it took all that trouble to make people accept a food that to-day is of such value to us? Is it, then, so very hard to spread a good idea when it is new?” “Very hard indeed,” replied Uncle Paul, “as those well know who make it their mission to fight against prejudice and ignorance.” About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jean-Henri Fabre (2022). Field, Forest and Farm. Urbana, Illinois: Project Gutenberg. Retrieved October https://www.gutenberg.org/cache/epub/67813/pg67813-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html.

HISTORY OF THE POTATO

THE MASKED BUG

The Engagement

Let's take a step into the looking glass for a moment and explore the upside-down world of what not to do when dealing with errors in frontend apps. This could get weird, so buckle up! Introduction Every developer's nightmare: errors on production. You've been there. I've been there. But instead of talking about how to solve these problems today, let's discuss how NOT to deal with them. It's a bit unusual, I know, but sometimes seeing things from another perspective can lead to valuable insights. Let's dive in. Ignoring Errors First up, the worst offender of all – ignoring errors. There are those who live by the 'no news is good news' rule, and if they don't see any problems, they assume all is well. Unfortunately, in the digital realm, no news often means we're just not hearing the bad news. Ignoring errors or not setting up proper logging can lead to small issues snowballing into major headaches. Not Reproducing the Error Now, onto my second point. How many times have you seen someone – or maybe it was even you – try to fix an error before even reproducing it? It's like trying to hit a target blindfolded. Sure, you might hit something, but chances are it's not what you intended. Without reproducing the error, we're shooting in the dark. Relying on Users for Error Reporting Third, we have the classic reliance on users for error reporting. Users are great, they're the reason we build apps. But depending on them to be your primary source of error reporting is like asking your grandma to debug your code. She might stumble upon an issue now and then, but she's not going to provide the detailed report you need. Not Using Debugging Tools Then there's the underutilization of debugging tools. With so many out there – like , for example – it's a crime not to use them. It's like having a toolbox full of shiny tools and trying to fix everything with duct tape. Sure, duct tape might work in a pinch, but it's not a long-term solution. Sentry Not Learning From Mistakes Finally, we have the age-old problem of not learning from our mistakes. If we don't take the time to understand why an error occurred, we're bound to see it pop up again. And there's nothing more frustrating than fixing the same issue over and over. Conclusion There you have it, a journey through the mirror into the world of what NOT to do when dealing with frontend errors. It's a bit unusual, but I hope it gave you some fresh insights. The key takeaway here: don't just fix errors, understand them, learn from them, and use the right tools to prevent them from happening again. And remember, even though we're in this upside-down world, don't forget to have fun.

How to Not Deal With Errors in Frontend Apps

THE HALICTI: THE PORTRESS

Data collection for machine learning projects can be a real pain. It's time-consuming and tedious, and did we mention expensive? It's unfair that some machine learning projects never even begin because the cost of data collection can be so prohibitive. Let's examine why data acquisition is so expensive, even though it shouldn't be. The cost of labor, infrastructure, quality control, pre-processing, data cleaning, and ethical considerations are just a few of the cost segments that are associated with data collection costs. Now, it is definitely not a good idea to skip any of these segments, but the catch is that you can cut costs by making each data collection step as efficient as possible. We must ensure that our strategy includes more than just cost-cutting; we also need to ensure that the data we are gathering is of high quality! Let's start by examining how prioritizing quality can help with cost-effective dataset collection. 1. Prioritizing Quality Over Quantity Any machine-learning model development process starts with gathering a training dataset. The process of gathering training data is not a one-time occurrence; rather, it can be repeated repeatedly throughout the entire period of developing a ground-breaking AI solution. While testing our model, if the efficiency of the model is not up to par in any scenario, then in order to train our model for that scenario, we need to collect new and more specific data in that case. In order to lower the cost of data collection, our strategy should be to reduce this repetitive collection of new datasets. Now, the maxim "the more, the better" cannot apply to the collection of training datasets without paying attention to the . dataset's quality Also, it is obvious that the size of the dataset has a direct impact on the total cost of training data collection. It can be expensive and time-consuming to gather a lot of training data, especially if the data needs to be labeled or annotated. However, collecting high-quality data, even if it's a smaller dataset, can actually help reduce overall costs in training data collection. First off, by gathering high-quality data, we can avoid gathering redundant or irrelevant data that might not improve the performance of the machine learning model. As a result, it is less expensive to gather, store, and manage massive amounts of data. Secondly, high-quality data can help reduce the time and cost associated with data cleaning and preprocessing. Cleaning and preparing the data for use in the machine learning model is easier when it is reliable and consistent. Thirdly, a quality dataset can improve the performance of machine learning models, which in turn lessens the requirement for additional training data. As a result, there will be no need to collect extra data to make up for the model's shortcomings, which can help lower the overall cost of data collection. In an ideal case, we must be clear about what we are expecting in terms of quality with any data collection process, and then finding the optimum balance between quality and quantity will significantly reduce the overall cost. 2. Leverage Human-in-the-Loop People are what make data collection possible. Depending on the use case, complexity, and volume, we have to onboard people from various places to gather the data. This is where most of the money goes when collecting data. Recruiting qualified and knowledgeable crowds in accordance with the task at hand is the first step when dealing with the crowd in order to acquire a high-quality dataset. If you want German conversational speech data, then you must focus on onboarding native German people who already have experience working on similar projects. Simply because they have experience, they can easily comprehend your requirements and can help you more when it comes to gathering high-quality datasets. Aside from that, all dataset requirements are distinctive in some way, and some dataset requirements can be particularly complicated. In these situations, it is strongly advised to spend some time developing appropriate guidelines and training materials in order to save money and time. It can be beneficial to have instructions and training materials in the native language. If the guideline is clear from the start, then training people on it can be easy and can boost confidence in data providers. This also reduces the continuous back and forth in case of confusion over guidelines, which eventually saves more time and money. Setting clear expectations can improve contributors' job satisfaction and lower their likelihood of giving it up. That reduces the cost and time associated with finding and onboarding new people. An ideal guideline must have clear acceptance and rejection criteria for participants, which gives them a clear understanding of what to do and what not! This remarkably aids in lowering rejection and rework, which ultimately saves time and money. 3. Adopt Transfer Learning A pre-trained model is reused for a new task with less training data using the machine learning technique known as transfer learning. Transfer learning can lower the cost of gathering training datasets by lowering the quantity of new data that needs to be gathered and labeled. To train a model from scratch in conventional machine learning models, a significant amount of labeled data is needed. But with transfer learning, programmers can begin with a model that has already been trained and has picked up general features from a sizable dataset. Developers can quickly and effectively train a model that excels at the new task by fine-tuning the previously trained model on a smaller, task-specific dataset. Let's say a business is creating a machine-learning model to find objects in pictures. They can use a pre-trained model like or , which has already learned general features from a large dataset of images, rather than collecting and labeling a large dataset of images from scratch. ResNet VGG The pre-trained model can then be fine-tuned using a smaller dataset of images relevant to their use case, such as pictures of industrial or medical equipment. The business can significantly reduce the quantity of fresh data that must be gathered and labeled while still creating a top-notch machine-learning model by utilizing transfer learning. Leveraging existing datasets is another way that transfer learning can assist in lowering the cost of training data collection. For instance, a developer can use the dataset from an earlier project as a starting point for a new machine learning project they are working on that is in a related field. In conclusion, transfer learning is an effective method for cutting the expense of obtaining training data in machine learning. Developers can drastically reduce the amount of fresh data that must be gathered and labeled while still producing high-quality machine-learning models that excel at novel tasks by utilizing pre-trained models and existing datasets. Making the decision to implement transfer learning can be difficult and crucial because there are numerous restrictions, such as Fine-tuning might not be beneficial if a pre-trained model has already been created for the task that is not your primary concern. could occur if the model was developed using a sparse or unrelated dataset that is relevant to your task. Overfitting Fine-tuning can be expensive computationally if the pre-trained model is very large and requires a lot of computational resources. 4. Explore Readymade Dataset When working with large datasets, starting from scratch on a new dataset can be a daunting task. In this situation, a pre-made, or off-the-shelf (OTS) dataset might be a wise choice. Finding an open-source training dataset that meets your needs can help you save time and money. Even though finding a perfectly structured dataset that meets your requirements in open source is extremely rare, there is no guarantee that it will be diverse and representative enough to support the development of reliable AI solutions. Another option to acquire off-the-shelf datasets is through commercial licensing from organizations like FutureBeeAI. FutureBeeAI has a pool of more than 2,000 training datasets, including , image, video, and text datasets. speech There is a good chance that we have already created the dataset you need. This pre-made dataset not only reduces collection time but also frees you from the hassle of managing crowds and aids in the scaling of your AI solution. Choosing an OTS dataset can make it very simple to adhere to compliance because the company has already taken all necessary ethical precautions. Finding the right partner and purchasing the appropriate off-the-shelf dataset can be a very economical solution. 5. Automate With Tools From our discussion up to this point, it is clear that the only opportunity to lower the cost of data collection is to find the most effective means of carrying out each of these minor yet important tasks. In this situation, using cutting-edge tools can be extremely helpful. The cost of data preparation is another element on which we should concentrate. For the datasets to be ready for deployment after collection, proper metadata and ground truths are required. Now, manually generating this metadata can be a time-consuming and highly error-prone task. You can automate the creation of metadata and speed up the collection of structured datasets by using data collection tools. In addition, collecting data without the proper tools only results in longer collection times, higher costs, and frustrated data collectors. Using data collection tools can greatly speed up the procedure and cut down on the total amount of time. This facilitates the participant's entire data collection task and can lower the overall budget! 6. Data Augmentation The process of "data augmentation" involves applying different transformations to existing data in order to produce new training data. By enabling developers to produce more data from a smaller dataset, this technique can aid in lowering the overall cost of data collection for machine learning. Consider the case where you have gathered . You can use data augmentation to expand your training dataset's overall size by: speech data for your ASR model Adding different types of noises, like white noise, pink noise, babble noise, etc. Noise Injection: Different room environments can be simulated by adding room acoustics to the speech signal. Environment Simulations: Changing the pitch of the speech signal by increasing or decreasing the frequency of the signal. Pitch Shifting: Changing the speed of the speech signal by increasing or decreasing the speed of the audio signal Speed Perturbation: Such transformations allow us to expand the dataset's size and add more data for a machine learning model's training. Here, there are also cost savings because we can transfer the original labeling. In addition to saving money and time, it lessens the need for additional data and enhances the model's performance with the available dataset. Data augmentation is a potent tool but also a complicated one. If not done properly, there are a lot of consequences. A dataset with many similar data points could result from its aggressive adoption, which could overfit models trained on the dataset. In a nutshell, it is a task that relies on expertise and should be approached with caution. 7. Ethical & Legal Consideration In the field of machine learning, the legal considerations surrounding training datasets are of critical importance. Developing and deploying machine learning models based on improperly sourced, biased, or discriminatory training datasets can have serious legal, ethical, and reputational consequences. Several data privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), govern the gathering and use of personal data. These regulations provide precise instructions for gathering, handling, and storing personal data. There may be penalties and legal repercussions if these rules are disregarded. It is essential to abide by intellectual property laws when working with proprietary and copyrighted data; failing to do so could result in legal action. Such legal disputes between have recently come to light. generative AI companies and artists Furthermore, it is crucial to compile a dataset that is , fair to all, and representative of the population. Legal action and reputational damage may result if the model is prejudicial or discriminatory toward any particular group. unbiased Before collecting any personal data, it is advisable to review all the compliance requirements you must adhere to. In an ideal collection, make sure the data contributor is aware of the type of data he or she is sharing and what potential uses there are for it. Data providers must be aware of worst-case consequences as well. To prevent any further issues, make sure your data collection procedure is consensual and includes obtaining written consent from each data provider. Remember, loss avoided is money saved! Originally published at - futurebeeai.com

7 Strategies to Reduce Training Data Acquisition Cost

7 estrategias para reducir el costo de adquisición de datos de capacitación

7 stratégies pour réduire le coût d'acquisition des données de formation

प्रशिक्षण डेटा अधिग्रहण लागत को कम करने के लिए 7 रणनीतियाँ

トレーニング データの取得コストを削減する 7 つの戦略

7 estratégias para reduzir o custo de aquisição de dados de treinamento

7 chiến lược để giảm chi phí thu thập dữ liệu đào tạo

降低训练数据获取成本的 7 种策略

Communities have been all around us for a very long time. They’ve psychologically impacted how we look at things and make decisions. Whether it’s family, friends, or a community based on shared hobbies, they all have one thing in ’s common — they’re either based on a shared interest or a pain point. Internet communities replicate the same values found in real-world communities. There Is No “I” in Success, Only “We” — The Rise of Brand Communities. Since the global pandemic, more and more people are turning to online communities to connect, network, and exchange information. And this includes brand communities as well. 58% of the top B2B SaaS companies in the world — yes, the world — have a widely active community around their product. That’s 58 out of the 100 companies surveyed by PeerSignal. Do you know why? Because these communities work on one principle — Invite, Include, Inspire. According to PeerSignal, a brand community is But, What Even is a Brand Community? “a place where helpful interactions happen between people united by common interests and administered by a business with a stake in those interests.” Powered by Users, Fuelled by Fans — Why Brand Communities Matter The essence of what a brand creates is affiliation and identity. And as we all know, marketing is all about attracting an engaged audience interested in what you have to say and what you’re selling. A more advanced and improved approach to doing the same is creating a community around your business. But why? Community-led growth has been a long time coming. Users in the fragmented SaaS market feel overwhelmed by their options and turn to influencers for help selecting tools. At the same time, the number of platforms for communication and sharing has grown. There are more channels than ever to connect with your audience. And for your audience to connect with you. In such a scenario, a brand community provides a familiar environment for your product users and potential customers to come together, share experiences, ask questions, and solve queries. You could start a community on your website, Slack, LinkedIn groups, Facebook groups, Reddit, or any other channel your audience frequents. When moderated well, a brand community will also gift you your biggest supporters and advocates, apart from your brilliant product, of course. Notion, Slack, Zapier, Ahrefs, etc., are some of the best examples of community-led business growth in the last 20 years or so. If you’re scaling and aiming to hit a sustainable growth rate, investing in a brand community can pay off big time. From Users to Fans to Advocates — The Compounding Returns of Building a Community Here are 5 reasons to consider community-led marketing if you haven’t already. Drive organic leads and shape product-market fit. 27.3% of customers rely on online communities in making purchase decisions. With a community-led marketing approach, you tap into this market. This way, not only do you increase brand engagement, but you also establish yourself as a market leader with sound industry knowledge. You can educate and give guidance about product use. This helps you focus and customize information on relevant features and details for improved product understanding. Initiate ‘word-of-mouth’ advocacy by letting your customers talk about you candidly. Get a solid market share and top-of-mind brand recall. As people begin to talk about you and like your brand, you get more organic leads and brand visibility. And Here’s What Not to Do: Don’t rush the process. Remember, Rome wasn’t built in a day. How Hubspot Unlocked Growth With a Community — A Visionary Tale Let’s take the example of HubSpot — A cloud-based CRM platform for people in marketing, sales, and customer services. And how it grew its user base solely with inbound marketing and a community of advocates. They host a community on their website, where audiences can connect with peers and access a library of educational resources. From online courses to webinars about inbound marketing, customer services, and sales, they covered it all. These community groups are global, and they also have study groups for members to have conversations and clarify doubts. But their main strength is the Community Champions and Leaderboards. They pick a member who has contributed quality solutions to queries posted on the community and give them a special feature. It encourages other members to participate in the community actively and know that their efforts won’t go unnoticed. The HubSpot Academy was a resounding success as well. And supported the business in quickly broadening its user base. If you’ve come across their very popular course on Content Marketing, you know what I’m talking about. Community-led growth gives customers a platform to thoroughly explore the product, whereas product-led growth may be what smoothly leads users through the product journey. If anything, the two growth tactics work best when combined. I love how Pramod Rao, Co-founder of Threado, tackled the question of product-led vs community-led marketing strategy, “When done properly, community and product-led growth together have the potential for becoming the bible for the next generation of startups. There’s too much emphasis on “one or the other” but not enough on how well they complement each other.” As we’ve established above, there is no “I” in success. Only “us” and “we.” What do you think of the rise of community-led marketing?

Product-Led Growth Is in the Past - Community-Led Growth Is the Future

I've been a fan of for years. Reveal.js is a web-based presentation framework that makes it (mostly) easy to create slides with just basic HTML. Reveal.js many I don't mind Powerpoint at all, and it's incredibly powerful, but when I'm presenting on web topics (which is, usually, 99% of the time), I don't like the experience of "alt-tabbing" from a running Powerpoint to code or browser tabs. Reveal.js helps me avoid that. Using Reveal (I'm getting tired of typing the dot jay ess) is relatively simple. You add a script tag. You add two link tags for CSS (one for the core CSS and one for a theme), and then start writing HTML. The tag is used for each slide. Here's an example of how easy it is, from their docs: section <html>
  <head>
    <link rel="stylesheet" href="dist/reveal.css">
    <link rel="stylesheet" href="dist/theme/white.css">
  </head>
  <body>
    <div class="reveal">
      <div class="slides">
        <section>Slide 1</section>
        <section>Slide 2</section>
      </div>
    </div>
    <script src="dist/reveal.js"></script>
    <script>
      Reveal.initialize();
    </script>
  </body>
</html> In the snippet above, you can see the two tags representing each slide. There's quite a bit to it, and if you want to see more, check out their , but for today, I was curious if I could simplify the creation of Reveal presentations with web components. Here's what I came up with. section demo Version One First, I'll share the HTML I wanted to use. I actually wrote this first and then began building the web component so I could see it update itself. <reveal-preso theme="beige">
	<section>Slide 1b</section>
	<section>Slide 2</section>
	<section>Slide 3</section>
	<section data-background-color="aquamarine">
		<h2>🍦</h2>
	</section>
	<section data-background-image="https://placekitten.com/800/800">
		<h2>Image</h2>
	</section>	
</reveal-preso> My HTML makes use of the web component, , and supports a attribute. Inside the component are a set of tags for the slides. (As an FYI, I could have also built a child tag, and I do that in my next post!) I don't have any script or link tags at all. reveal-preso theme section reveal-slide will Now, let's look at the component definition. class RevealPreso extends HTMLElement {
	constructor() {
		super();
	}
	
	connectedCallback() {

		this.theme = 'black';
		if(this.hasAttribute('theme')) {
			this.theme = this.getAttribute('theme');
		}

		let currentHTML = this.innerHTML;
		this.innerHTML = `
<div class="reveal">
	<div class="slides">
		${currentHTML}
	</div>
</div>
		`;
		
		// load reveal.js
		const script = document.createElement('script');
		script.type = 'text/javascript';
		script.async = true;
		script.src = 'https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/reveal.js';
		document.head.appendChild(script);
		
		const link = document.createElement('link');
		link.rel = 'stylesheet';
		link.type='text/css';
		link.href = 'https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/reveal.min.css';
		document.head.appendChild(link);

		const theme = document.createElement('link');
		theme.rel = 'stylesheet';
		theme.type='text/css';
		theme.href = `https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/theme/${this.theme}.min.css`;
		document.head.appendChild(theme);
		
		script.addEventListener('load', () => {
			Reveal.initialize();
		});

	}
}

if(!customElements.get('reveal-preso')) customElements.define('reveal-preso', RevealPreso); As you can see, this is relatively simple. My rewrites the inner HTML such that it's wrapped with the that Reveal expects. I then dynamically load all three resources - my JavaScript and both CSS resources. connectedCallback divs I've got an event listener on the script such that when it's been loaded, I can initialize the presentation. From what I could see (via Googling and Stack Overflow), there are no for CSS scripts. I saw a few suggested workarounds, but I decided to keep it simple and just worry about the JavaScript resource. I accept that may be problematic. onload One more issue - my code checks for the theme argument one time only. If you were to change it via JavaScript later, it would not pick up on that. (If I may be so bold as to suggest a best practice here, I'd probably suggest you have code to recognize changes to attributes or clearly document what's not going to work.) Here's how it looks: always https://codepen.io/cfjedimaster/pen/MWPJgMJ?embedable=true Personally, I think this is pretty cool! But notice that it expects the web view. That's the default for Reveal and probably how most people would use it, but I really wanted to see if it was possible to Reveal along with other web content. Here's how I did that. entire embed Version Two First, I checked the docs. I had only ever used Reveal as a full web view presentation, and I didn't know if the framework itself supported it. Turns out, it absolutely has an mode. There's also support for presentations. embedded multiple embedded This requires two things - a slight change to how you initialize the Reveal object and supplying specific dimensions of the container holding your presentation. I began by modifying my HTML a bit: <h2>Preso</h2>

<p>
	Here is my preso. It brings all the boys to the yard.
</p>

<reveal-preso height="700px" theme="dracula">
	<section>Slide 1b</section>
	<section>
		<h2>Plan</h2>
		<ul>
			<li class="fragment">Phase One - Collect Underpants</li>
			<li class="fragment">Phase Two - ?</li>
			<li class="fragment">Phase Three - Profit</li>
		</ul>
	</section>
	<section>Slide 3</section>
	<section data-background-color="aquamarine">
		<h2>🍦</h2>
	</section>
	<section data-background-image="https://placekitten.com/800/800">
		<h2>Image</h2>
	</section>	
</reveal-preso>

<footer>
End of page.
</footer> I've got some basic crap on top and bottom, and in the tag, I've added a . My component is going to support both and , but it will default both. Now, let's look at the updated component: reveal-preso height height width class RevealPreso extends HTMLElement {
	constructor() {
		super();
	}
	
	connectedCallback() {
		console.log('connected callback called');
		
		// defaults
		this.width = '100%';
		this.height = '500px';
		this.theme = 'black';
		if(this.hasAttribute('width')) {
			this.width = this.getAttribute('width');
		}
		if(this.hasAttribute('height')) {
			this.height = this.getAttribute('height');
		}
		if(this.hasAttribute('theme')) {
			this.theme = this.getAttribute('theme');
		}

		let currentHTML = this.innerHTML;
		this.innerHTML = `
<div class="reveal" style="width: ${this.width}; height: ${this.height}">
	<div class="slides">
		${currentHTML}
	</div>
</div>
		`;
		
		// load reveal.js
		const script = document.createElement('script');
    script.type = 'text/javascript';
    script.async = true;
		script.src = 'https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/reveal.js';
		document.head.appendChild(script);
		
		const link = document.createElement('link');
		link.rel = 'stylesheet';
		link.type='text/css';
		link.href = 'https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/reveal.min.css';
		document.head.appendChild(link);

		const theme = document.createElement('link');
		theme.rel = 'stylesheet';
		theme.type='text/css';
		theme.href = `https://cdnjs.cloudflare.com/ajax/libs/reveal.js/4.5.0/theme/${this.theme}.min.css`;
		document.head.appendChild(theme);

		script.addEventListener('load', () => {
		 Reveal(this.querySelector( '.reveal' ), {
				embedded: true,
				keyboardCondition: 'focused' // only react to keys when focused
		 }).initialize();
		
		});

	}
}

if(!customElements.get('reveal-preso')) customElements.define('reveal-preso', RevealPreso); I've updated the code to look for and now and default both. When I rewrite the inner HTML content, I include those values. Lastly, I changed how I initialize the presentation. You can see this in action here: height width https://codepen.io/cfjedimaster/pen/GRYrRmK?embedable=true There are still things I'd tweak here. I'd definitely add support for changing the height and width. Reveal itself also supports recognizing changes to its size. One note - I did do a quick test with 2 presentations on the page, and it worked, but it only shows one theme which I believe there is no workaround as Reveal expects only one theme CSS. It may be possible, but I'm not sure. Next Version? As I said earlier, I want to iterate on this one more time. I want to create a child tag, (or perhaps something shorter) and look into importing the tag from another JavaScript resource. reveal-slide I also want to support dynamically changing the height and width. I'll work on this tomorrow or later this month. As always, let me know what you think!

How to Create a Web Component for Reveal.js

Businesses used to see data as a byproduct of their operations. Nowadays, they should see it as a valuable asset. Unfortunately, many still leave it to gather dust when it could help them increase efficiency, uncover mistakes, and predict trends. This leads to data loss, which can cost companies between $18,000 to $35,000 for 100 files — according to a . Verizon study Although stagnant data doesn’t equal lost data, it’s not far off — especially for businesses that could be using it in their favor. To stop this from happening, companies today can take advantage of practices like data visualization to understand the datasets they’re generating by the minute. As their adoption increases, today’s data visualization tools are designed to require minimal training to get you started on creating informative graphs and charts without being an expert. In 2022, Deloitte reported that of CEOs were already upskilling and reskilling their workforce in different areas to mitigate labor scarcity and skills shortages. Dedicating yourself and your employees to a few hours of data visualization training democratizes data in your company. It allows access for everyone by making data digestible visually, so they can make data-driven decisions and enhance processes. 58% Reading data has been critical to an enterprise’s success since money was invented — but from target audience reports to pricing models, today, every employee benefits from using data somehow. So, let’s explore why upskilling your workforce for data visualization is crucial in 2023. Boosts Revenue By Using Your Data A recent Wakefield Research report found that of executives used data to create revenue; however, only 20% employed all of it. They are struggling to adapt to data’s fast-paced growth — which is where data visualization comes in handy. Businesses don’t need to know how to interpret their massive amounts of data as it rolls in. Visualizations can crunch them down and draw value from them. 96% Tools like Tableau, Looker Studio, and Microsoft Power BI can recover data’s meaning via graphs, trend lines, heat maps, and pie charts, among other illustrations. So rather than meaningless numbers in Excel sheets, your audience — like your staff, investors, and even yourself — can understand information through digestible and organized visuals. New data means new dollars for 56% of executives surveyed in the Wakefield Research report. They were able to identify opportunities they hadn’t previously considered. With data visualizations, teams will see what’s working and what’s not, helping them shift for the better. They might realize they’re overspending or that they could benefit by putting their money elsewhere, and redirect it accordingly. Time is money, but so is data — and knowing how to make it work for you is the secret to improving revenue. By upskilling employees to create data visualizations, many parties will be able to analyze data more easily and put it to good use. Fulfills The Current Digital Skills Gap A recent report found that could go unfulfilled by 2030 due to skills shortages, worsening the current workforce scarcity. While the digital transformation at the workplace marches on, many employees are lagging behind due to outdated skills in emerging technologies. 85 million jobs Business owners were aware of this phenomenon in 2022: 50% of CEOs also expressed to Deloitte that their second biggest concern stemming from external factors is the skills shortage. Data visualization skills aren’t the exception, as the market started growing by leaps and bounds just recently. The industry is expected to go from being worth in 2021 to $28 billion in 2028. $9 billion A shortage in abilities can be a double-edged sword for everyone in business, and upskilling can turn frowns upside down for both employers and employees. Investing time and money in learning programs means your workers are equipped with the right knowledge to handle new processes. Data visualization skills are a part of this mix, providing the workforce with tools to adopt data-driven practices. Upskilling also increases employability and workers’ chances to move up the job ladder. And for business owners, well-prepared workers mean enhanced productivity and efficiency, and more motivated employees. Makes For A Satisfied Workforce Businesses of all sizes are powered by their workforce, and keeping them happy generates positive results. Upskilling can help make this happen. An found that the third biggest reason for employees’ worry is a lack of work progression and training. Workers want to learn and grow and are motivated by this. Adecco study Another report found that surveyed were satisfied or very satisfied with their company’s upskilling programs. Equipping employees with new knowledge empowers them and prepares them to tackle incoming technologies. So, instead of outsourcing and hiring candidates to take on the flurry of new tech, upskilling current employees will actually save businesses recruiting costs. Likewise, offering learning programs improves a company’s benefits package and shows workers that employers are willing to invest in their career growth. 75% of workers Furthermore, according to the , by 2025 professions will demand analytical thinking, creativity, and flexibility. As artificial intelligence (AI) tools continue to automate processes, human insight will make all the difference when performing tasks. World Economic Forum Data visualization also requires a human touch. However, while automation tools can migrate datasets to a visualization platform, training courses teach you how to better apply and read visuals. Data visualization courses usually include storytelling lessons, so that pictorial representations don’t get lost in translation. AI is evolving rapidly to seem human-like, but it will take years (if not impossible) before it manages to add a deeper meaning to charts and graphs, which only skilled humans can do today. The bottom line is data visualization upskilling is a win-win situation for companies of all sizes. It forges competent workers while improving process flows, and even creates new revenue streams. As workplaces digitalize, data intake increases, and this gives businesses new opportunities to learn and grow from it. With data visualization, the job is made easier to analyze and understand your data and make it work for you.

Why Upskilling for Data Visualization Is Essential in 2023

In today's digital age, digital platform apps are more important than ever. They allow us to do everything from ordering food to sourcing our financing needs. But what makes a digital platform app successful? What are the secrets of creating an app that people will love and that third-party partners will focus their time on supporting? A digital platform is a digital space that connects users with other users and partners to collaborate, interact, or transact. The most important factor in creating a successful app is setting up the flywheel between users and your partners. A two-sided flywheel is a virtuous cycle that drives engagement and growth through your platform’s connection between users and your partners. It starts with creating simple-to-use services that attract users and drive downloads. Once you reach a tipping point in the number of users engaging with your app, this drives demand, and new partners will flock to your app to provide services. This cycle of ever-increasing demand provided by users, with partners meeting that demand, will naturally continue to grow and strengthen as your app becomes more popular. Steps to create a digital platform app flywheels Who are you trying to reach with your app? What are their needs and interests? Once you understand your target audience, you can start developing a set of partner-provided services that appeal to them. Define your target audience. Reduce as much friction across your app platform as possible. The app should provide clear and consistent services in every engagement, and the process must be seamless. Create frictionless services. . Focus on launching with the best and largest partners to provide services on your app. These partners will drive demand for your app from users and will signal to other potential partners about your platform. Lead with lighthouse partners Once you have created a great platform and onboarded some of the best partners, you need to get the word out about your app. There are a number of ways to promote your app, including social media, paid advertising, and word-of-mouth. Generate user demand. It's important to track your results, so you can see what's working and what's not. This will help you make necessary adjustments to your flywheel.
Creating a digital app flywheel takes time and effort, but it can be a very effective way to grow your app's audience and engagement. By following these steps, you can create a flywheel that will help your app succeed, and below, we will give you tips that will assist you in doing just that. Track your results. Let’s start with the second step. The Importance of Clear, Seamless Services A set of clear and frictionless services creates the engine for your app flywheel. It's what will attract users to your app and keep them coming back. When creating clear and frictionless services for your app, it's important to keep in mind the following: . What are their essential needs and interests? What will they value the most and what is optional? Your target audience How will you make money with your app? Which business model aligns the incentives for you, your users, and your partners? Your app's business model. What other apps are out there that are similar to yours? What kind of services do they provide and what’s different about your app? The competition. Once you've considered these factors, you can start developing the product features for your app. Here are a few tips: Be super clear on what services you will and will not provide. Reduce the features and functions to only those that are the most valuable to your users. Find the surprise and delight moments for your users that will keep them coming back. Take, for example, Zoom. A clearly defined audience, represented by enterprise customers (ranging from large financial services companies, universities, government agencies, healthcare, and IT companies); the freemium business model; the focus on videoconferencing, as opposed to the platform’s competitors’ audio-first strategy, and other factors carefully taken into account at the development stage, have brought an undeniable success to the app. Lead with lighthouse partners Once you have a great digital platform, you need to work with some lighthouse partners to ensure that the best services are provided to your users. Key things to discuss with the partners are: Make sure your incentives, user incentives and partner incentives are aligned. Incentive models. . Understand the service delivery models your partners will use and make sure they align to the experience you want your users to have. Partner service delivery models A well-known example would be Uber, where continuously growing supply was ensured mainly through driver incentives, such as discounts on gas, mobile phone service, vehicle maintenance, money management services, and Uber rides. Sufficient supply led to a steady growth of demand from users, thus making the company itself expand in leaps and bounds. Generate user demand Once you have a great digital platform and lighthouse partners, you need to get the word out about your app. There are a number of ways to generate user demand, including: Organic marketing on social media and influencers. Incentive campaigns to attract new users and their friends. Partner marketing leveraging the existing channels your lighthouse partners have. It's important to promote your app in a way that is consistent with its brand and tone. You also need to be patient and persistent. It takes time to build an audience for your app. But if you create great content and promote it effectively, you can find loyal followers that will help your app succeed. Let’s take Airbnb as an example: its marketing mix has a strong focus on building a community and utilizing its existing users for user-generated content, social media, and its referral program. Both hosts and travelers publish posts on the Internet, the former – to advertise their property, and the latter – to share their vacation photos on their social media accounts, tagging the Airbnb brand pages. This helps the company reach its authentic audience, hence increasing the awareness of the website. To create a further social media presence, Airbnb partners with many travel bloggers. As for the referral program, for Airbnb, it turned out a huge success, as when the program was first launched, it led to a skyrocketing 900% of annual growth. Track your results It's important to track your results so you can see what works and what doesn’t. This will help you make necessary adjustments to your app flywheel. There are a number of ways to track your results, including: Make use of user analytics tools to track how the users are interacting with your app to understand friction points and most popular features. User analytics. Use App Store analytics tools to track your user funnel metrics and conversion rates. App Store / channel analytics. Collect feedback from your users to see what they like and don't like about your app. By tracking your results, you can identify areas where your app is performing well and areas where it needs improvement. Customer feedback. In this article, I’ve covered what it takes to create a great two-sided flywheel for your digital platform. Be sure to follow the steps described and adhere to the tips provided, and you will have laid a good foundation for creating a successful app. Good luck! *FYI, this conclusion was written with the help of AI The lead image ﻿was generated using HackerNoon's Stable Diffusion feature, via the prompt "a human architect standing and looking at a building". AI Image Generator

How to Create Digital Platform Flywheels

An excellent developer experience correlates to great outcomes. Traditionally, improving developer experience (also known as DevEx or DX) has been an incremental project, and one that takes time and innovation. The good news? Artificial intelligence heralds the arrival of some much faster, more impactful ways to meaningfully improve DevEx. In this post, I will talk about four parts of life as a software engineer which are ripe for refreshment with the help of AI. I’ll cover how to improve DX with AI for software developers, and how this might look for teams like yours. ‍ 1. Code Delivery Software engineers at most software companies write code every day. But many engineers regularly have to complete relatively trivial tasks that keep them away from the more interesting problems. This isn’t usually popular – who wakes up every day to write test suites? Okay – some love it – but you see my point! So it seems the logical place to start improving developer experience. Fortunately, this is also the area I think has the most attention from AI innovators, with tools that work across a range of code editors from VS Code to Jetbrains, and across almost all programming languages including JavaScript, Java, Python, C#, Golang, SQL and many others. Autocomplete Let’s start with something already in the mainstream of software engineering. Autocomplete does what it says on the tin. It works the same way it does on your phone, but for code. Autocomplete for engineers is generally codebase-aware, so it understands your current context and coding patterns. It improves DevEx by making code easier and faster to write. is an established tool with an autocomplete feature. If you’re open to more cutting-edge tools, keep reading. Tools: GitHub Copilot This may be the least revolutionary implementation of AI for code delivery, but it has been around the longest, is better understood, and carries fewer risks. Great for the risk-averse organisation. My View: Understanding your codebase So, you've inherited a legacy codebase that's as tangled as a ball of yarn. Understanding and modifying the code is daunting. But AI-driven LLMs can come to your rescue. These models can analyse the code, answer your questions about its functionality, and suggest improvements. For example, you might ask the LLM, "What does this function do?" It could provide a concise summary or visually represent the code's logic. specialises in understanding your codebase and allowing you to ask any question to help you understand it. Tools: Adrenaline AI Tools that do this well are green, but improving constantly. Try for a free introduction to this concept with no set-up required. My view: Adrenaline Writing tests Whatever tests you’re writing, and whether you’re doing TDD or BDD, AI is capable of 10x-ing your output. Let’s face it. Most engineers aren’t thrilled at the prospect of writing test suites. AI can write suites of non-trivial (and trivial) test suites in seconds. What’s not to love? specialises in test-writing Tools: Codium Specialised tools appear to do a better job of test generation than simply asking ChatGPT, because that’s what they’re trained for. Invest in the right tools. Your devs will thank you. My view: Intelligent code assistance This is the “next level up”. Intelligent code assistance systems aim to have total comprehension of your codebase and context, and can write, refactor or test code. In practice, that means that AI can suggest substantial snippets of code, detect and fix errors, recommend best practices based on your project’s specific context and more. Pretty powerful. Depending on your tool, you may be able to ask questions or interact with the codebase through natural language processing (NLP), in the same way that you might talk to ChatGPT. This is a home run for teams who want to have good developer experience – a type of tool so good that going back to the old ways doesn’t feel like an option. This post is about DevEx, but it’s straightforward that these leads should lead to far better outcomes across the board. Tools: is an established AI code assistant. It benefits from being legally robust and compliance-friendly, but runs on the now-outdated GPT-3 at the time of writing. Tabnine isn’t out yet, but it will be able to do many things, including explaining code, fixing errors, testing, writing pull request templates and more. GitHub Copilot X is currently in Beta if you can’t wait for Copilot X. They can look at your code graphs and company docs alongside your codebase for richer context. Sourcegraph Cody Mutable AI is a slimmer version with features like autocomplete, refactoring, and prompt-driven development safely out of Beta. GitHub Copilot X is the most hyped tool in this category, and it isn’t even out yet. Organisations with a greater appetite for risk may be able to use “greener” AI and significantly speed up development and gain a lasting competitive advantage. Tabnine has been loved by many organisations since 2018, and I would guess that they are working to roll out on GPT-4. Watch this space. My view: 2. Writing Documentation and Comments Documentation is the lifeblood of any software project, providing essential guidance and information for developers, technical managers, and product managers alike. However, creating and maintaining accurate, up-to-date, and easily digestible documentation can be daunting. You hate bad documentation, and so do your engineers. And frankly, most of them aren’t enjoying writing it either. AI-driven documentation and comment generation are ready, and you should never have incomplete, outdated or confusing docs again. By harnessing the power of AI, we can automate the process of generating comprehensive and context-aware documentation. Tools: analyses the code structure, extracts relevant information, and presents it in a user-friendly format. Mintlify Readable AI automates the process of writing code comments. If it’s left to humans (no matter how well-meaning), docs will never be a priority. Give the job to a tool that can do it in seconds, consistently, and that won’t hate writing them. My view: 3. Collaboration Tools You and your engineers are probably sinking hours every day into keeping up with developments in their projects. Let’s think of some examples of places that drain time: Catching up with Slack and Teams Searching for where someone shared a link you need Chasing someone to review your pull request Checking for new commits Trying to work out whether you’re unblocked yet by checking Jira If each person spends 2 hours every day doing this, and you have ten people on your team, that’s 100 hours every week. As projects grow in size and complexity, the time it takes to catch up and find what you need compounds, leading to miscommunication, duplicated efforts, delays and so on. This is the kind of frustration that engineers complain to their friends and family about at the end of the day, the kind of annoyance that loosens company loyalty. That’s not something most teams can afford. AI-powered collaboration tools can help teams overcome these challenges and streamline their workflows. Collaboration Assistants Numerous organisations are rushing to add AI to their own platforms. The idea is this: instead of trawling through messages and threads looking for the salient points, AI will pick it out for you. Doing this without AI is a massive drain of time. While there are collaboration bots out there (many of which are specialised to one platform, like Slack), none are yet specialised in software engineering. What I mean specifically is that they don’t integrate with the likes of GitHub and Jira, and aren’t able to surface things engineers care about, like pull requests. My view: 4. Code Review By analysing the submitted code and providing intelligent recommendations, AI can assist developers in identifying potential issues, adhering to coding standards, and understanding complex code snippets. This reduces the time spent on code reviews and minimises the risk of human error. For senior technical managers, this means a more efficient and accurate review process, resulting in better code quality and maintainability. Tools: Codeball AI evaluates pull requests, highlights risks and can automatically approve low-risk pull requests. Planar does something similar What The Diff can create pull request summaries and manage instant code refactoring, to avoid the back-and-forth. Truth is, code reviews can be slow, arduous and a reliable blocker to progress. Some code review tools claim to be able to 10x your code review process. Even if they can only 2x it, they’re often well worth the investment for DX alone. My view: We wrote this blog about the best tools that CTOs should know about. Wrapping up AI can transform the developer experience by streamlining code delivery, enhancing documentation, optimising collaboration tools and more. By leveraging the power of the underlying neural networks, deep learning, machine learning algorithms that sit under AI, your team can enjoy a more efficient, engaging, and enjoyable work environment, leading to better outcomes across the board. Done right, you’ll get the most out of your great developers and have happier people, better developer productivity and better development processes. Your developers, technical managers, and product managers will thank you for making their work lives more satisfying and productive. Don't miss out on more insights and thought leadership in the world of software engineering and AI. Also published . here Featured image generated using Kadinsky 2 with the following prompt: An engineer looking through a pair of binoculars.

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