The Washington, D.C. region has experienced quite an eventful year for weather and natural phenomena - and there is surely more ahead as we get ready to enter the second half of the year.

From Northern Lights to the Solar Eclipse - here’s DC’s 2024 weather, natural phenomena coverage

LOS ANGELES — First came a rare solar eclipse, followed by the northern lights, fueled by a solar storm. The next celestial phenomenon will come next month, when skygazers can

Solar eclipses are so last month. Get ready for a 'planetary parade' | Lifestyles | thedailynewsonline.com

Eclipse AIis in the Customer Success Management Industry

Eclipse AI

In a bold market forecast, a top analyst has predicted that the licensed A.I exchange token, , is on track to eclipse giants such as Solana (SOL) and Cardano (ADA) in the near future. This projection is underpinned by the innovative technology and strategic market positioning of Option2Trade (O2T), coupled with a Tier-1 listing on the horizon, signaling a significant shift in the crypto exchange landscape. Option2Trade (O2T) meet the needs of both seasoned traders and newcomers to the market. With its user-friendly interface, intuitive trading solutions, and a focus on social trading and learning, Option2Trade (O2T) is poised to appeal to a broad audience, enhancing ecosystem liquidity and usability. This holistic approach to trading, combined with the token's technological backbone, set the stage for Option2Trade’s (O2T) ascent in the crypto market. Option2Trade (O2T) distinguishes itself through its licensed A.I exchange platform designed to Unique Selling Points of O2T What sets apart from established tokens like and Cardano (ADA) are its unique selling points that cater to evolving market demand for more integrated and intelligent trading platforms. Option2Trade’s (O2T) use of artificial intelligence to optimize trading strategies and risk management, along with its commitment to building a robust and engaging ecosystem through staking and governance participation, highlights its potential to offer more than just a trading platform but a comprehensive trading experience. Option2Trade (O2T) Solana (SOL) Market Trends Supporting O2T's Forecasted Success The prediction of Option2Trade (O2T) eclipsing Solana (SOL) and is supported by current market trends that favor platforms offering advanced technological solutions and user engagement. The growing interest in AI-driven trading, coupled with the increasing importance of community governance in the crypto space, aligns with Option2Trade’s (O2T) core offerings. These trends, combined with the anticipation of a Tier-1 listing, bolster the analyst's forecast of Option2Trade’s (O2T) rising prominence in the crypto exchange market. Cardano (ADA) The Implications of a Tier-1 Listing A Tier-1 listing for would not only validate its market potential but also enhance its visibility and accessibility to a wider investor audience. Such a listing is considered a hallmark of credibility and stability in the crypto world, and for  Option2Trade (O2T), it represents a critical step toward achieving its ambitious goals. This milestone could significantly impact  Option2Trade (O2T)’s market performance, positioning it as a formidable competitor to established tokens like Solana (SOL) and Cardano (ADA). Option2Trade (O2T) O2T's Potential to Outperform Established Tokens The strong belief in Option2Trade's (O2T) potential to outperform giants such as Solana (SOL) and Cardano (ADA) is rooted in its strategic approach to blending cutting-edge technology with a user-centric trading platform. By offering features that support network governance, enable staking, and facilitate social trading, Option2Trade (O2T) is not just creating a token but cultivating a vibrant ecosystem that responds to the needs and preferences of its users. In conclusion, the top analyst's prediction that will eclipse Solana (SOL) and Cardano (ADA) reflects a broader shift towards valuing platforms that offer technological sophistication, market inclusivity, and community engagement with its licensed A.I exchange platform, user-friendly features, and a Tier-1 listing on the horizon, Option2Trade (O2T) is well-positioned to secure a prominent place in the crypto exchange market, challenging established tokens and reshaping investor expectations for what a trading platform can offer. As the market continues to evolve, Option2Trade’s (O2T) focus on innovation and user experience sets a new benchmark for success in the cryptocurrency space. Option2Trade (O2T) For more information on the Option2Trade (O2T) Presale: Use promo code O2TLaunch to get a 15% bonus Visit Option2Trade (O2T) Join and become a community member: | Telegram Twitter This story was distributed as a release by BTCWire under HackerNoon’s Business Blogging Program. Learn more about the program here: https://business.hackernoon.com/

Top Analyst Predicts Licensed A.I Exchange Token Will Eclipse Solana and Cardano

শীর্ষ বিশ্লেষক ভবিষ্যদ্বাণী করেছেন লাইসেন্সপ্রাপ্ত A.I এক্সচেঞ্জ টোকেন সোলানা এবং কার্ডানোকে গ্রহণ করবে

Top-Analysten sagen voraus, dass der lizenzierte A.I Exchange Token Solana und Cardano in den Schatten stellen wird

Un importante analista predice que el token de intercambio de IA con licencia eclipsará a Solana y Cardano

Un analyste de premier plan prédit que le jeton d'échange A.I sous licence éclipsera Solana et Cardano

शीर्ष विश्लेषक ने भविष्यवाणी की है कि लाइसेंस प्राप्त एआई एक्सचेंज टोकन सोलाना और कार्डानो पर ग्रहण लगा देगा

トップアナリストは、認可されたA.I交換トークンがSolanaとCardanoを凌駕すると予測

최고 분석가는 라이선스가 부여된 AI 교환 토큰이 Solana와 Cardano를 잠식할 것으로 예측합니다.

Principais analistas prevêem que token de troca de IA licenciado irá eclipsar Solana e Cardano

Ведущий аналитик прогнозирует, что лицензированный токен AI Exchange затмит Solana и Cardano

En İyi Analistler, Lisanslı Yapay Zeka Değişim Tokenının Solana ve Cardano'yu gölgede bırakacağını tahmin ediyor

Nhà phân tích hàng đầu dự đoán Token trao đổi A.I được cấp phép sẽ làm lu mờ Solana và Cardano

顶级分析师预测获得许可的 A.I 交易所代币将超越 Solana 和 Cardano

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Let's learn about via these 43 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Search /Learn Repo 1. Instant Search and Related Stories: Algolia + HackerNoon Instant search powered by Algolia cover to HackerNoon. Showing tags, companies and users as well. 2. Scrape Google Images with Node JS This tutorial will teach us to scrape Google Images with Node JS. 3. How to Find Your Number in a Sorted List: Binary Search Explained Binary search works exactly like finding a word in a dictionary. 4. What it Takes to Build a Really Great Search Engine Building a successful search takes more than technical smarts, but if done right is one of the most rewarding products you could work on. 5. Here’s Why I’m Gambling It All Away On My Open Source Startup By Han Xiao, Founder and CEO of Jina AI. Edited by Bing He and Alex C-G 6. Understanding Vector Embeddings for AI-Powered Search Vector embeddings will eclipse keyword-based search. Here's how. 7. How the autocomplete search in the Mozilla Documentation Works Last month, Gregor Weber and I added an autocomplete search to MDN Web Docs, that allows you to quickly jump straight to the document you want. 8. First Impressions of YouCode: The Search Engine for Programmers As a tech enthusiast and programmer, I love trying new platforms that attempt to reinvent the way we interact with computers, the internet, and each other. One of the most outdated yet crucial tools we interact with every day — the search engine — is due for disruption. Many companies recognize this and have tried to redesign and reinvent the search process. To stay at the forefront of this search engine revolution and take control over my search results, I experimented with several smaller search engines (most still in beta). One of the most innovative and curated alternative search engines is You.com. In my opinion, their recent release of YouCode has the potential to reshape how programmers interact with the internet, expedite problem solving, and enhance software design. Today I will be reviewing this novel search engine and discussing how I use it to improve my coding. 9. Google Ads Update: What Crypto Marketers Need to Know Google is changing the way it displays cryptocurrency-related ads on its search engine and various platforms. Starting August 3rd, crypto exchange and wallet... 10. Can Distributed Search Engines Challenge Google’s Dominance? Who would have thought that the narrative, which fueled the emergence of the internet, would later birth Google that had since dominated the proceedings of the ever-growing internet world? 11. Know More About The Google Images You Search For Discovering pictures is simple, yet realizing their setting isn’t generally self-evident. As of not long ago. 12. 7 SEO Mistakes That You Should Avoid in 2022 Take a look at the 7 SEO mistakes you should avoid if you are serious about increasing your site traffic as much as you can. Keep your SEO strategy intact! 13. How to Use Data Grid to Render Great Info in Your Web Apps Using a data grid is important if your web application renders a lot of data, such as tracking stats or reports. 14. How Does Google Calculate the SERP? Business visionaries and sponsors the world over are endeavouring to understand how to get their pages to rank better in Google. Nevertheless, it's basic to consider why and how Google ranks locales. Those locales that appear on the essential page for a search question are those that Google considers being the most critical, relevant and finally significant to the searcher, for a specific request. 15. Is Google Doomed?  Only the Paranoid Survive…. The New York Times recently proclaimed  A New Chat Bot Is a ‘Code Red’ for Google’s Search Business. 16. 3-Must-Haves to Win Podcast Search Optimization And Bring in New Listeners Keep these hacks in mind and benefit from additional opportunities to stand out from the crowd of competitors and win new listeners through search algorithms. 17. Simple Twitter Search Tricks for Developers Hey, guys, there is a huge community of developers on Twitter. So, it's just essential and cool to know some Twitter search tricks. All the search
tricks mention here are amazing and important for you. 18. The Google Empire Strikes Back Google has taken an important step in re-claiming the narrative about conversational AI with the launch of Bard, Google's ChatGPT killer. 19. Why Your Website Must Have an SEO Strategy for 2022 If you're running a small business, you know that it's essential to be found online. And if you want to be found online, you need to rank high in Google search 20. Get Rid Of Mistakes In Coding Once And For All: Useful Tips For Beginners Here in this post, I am going to tell you about the 10 common mistakes you will make or who knows you're still making as a beginner and will clear them all. 21. I Built A Handy Browser Plugin To Search Docs And Packages Directly From The Address Bar Hi all. I'm so honored to introduce my product: Go Search Extension, a handy browser plugin to help every Go developer search docs and package in the address bar instantly. 22. 10 Alternative Search Engines to Use in 2020 We know all the names of the big guys who can give us instant access to information, but with far-reaching data leaks and continued concerns about how our data is shared online, many people are looking for alternative search engines. Here is a primer on search engines and some alternatives you can use in 2020. 23. Microsoft’s Collaboration with ChatGPT Could Spell Trouble for Google’s Dominance What does Microsoft's collaboration with OpenAi mean for the search industry? Will Bing finally be able to challenge Google? Here's what I think 24. 10 Reasons Why Long-tail Keywords Drive Traffic Here are ten reasons you should focus on long-tail keywords in your digital marketing strategy. 25. Save and Search Through Your Slack Channel History on a Free Slack Plan Sometimes, we might not be able to afford a paid subscription on Slack. Here's a tutorial on how you can save and search through your Slack history for free. 26. Google, the Rise of Junk Articles and Why it has Become Harder to Find Info on the Web You’re googling something. The first result seems promising. You open it. It’s a really long, messy article, and you can’t find your needle in this haystack. 27. Bite-Sized Tips To Make Chinese Full-Text Search Today I'd like to highlight the challenge of search functionality in Chinese. In this article, we will go through the main difficulties of full-text search implementation for CJK languages and how to overcome them with the help of Manticore Search. 28. The Evolution of Google and Website SEO Shipwreck Kelly was a legend in his day. His face was on the front of many newspapers, and people would drive for miles to see him What made him so special? Kelly could sit atop a flagpole, sometimes hundreds of feet in the air, longer than anyone else. 29. An Introduction to the Power of Vector Search for Beginners An introduction to neural vector search, in comparison to keyword-based search. 30. How Is Anonymous View Different From Private Mode One of the most misunderstood features on most modern browsers is Private Mode, sometimes called incognito mode. When I am offering advice on measures people can take in their privacy such as using a private search engine or a VPN, I am told, “I don’t need those, I use incognito mode.” 31. To Google or Not to Google: What the Future Has In Store for Search In the future, "to Google" may become outdated in light of breakthrough changes anticipating search engines in the months to come. 32. Getting Started with the Weaviate Vector Search Engine Everybody who works with data in any way shape or form knows that one of the most important challenges is searching for the correct answers to your questions. There is a whole set of excellent (open source) search engines available but there is one thing that they can’t do, search and related data based on context. 33. 8 Ways to Improve the CLS Score in Google’s Core Web Vitals The Cumulative Layout Shift (CLS) of a website is important to user experience, which is why it’s one of three metrics included in Google’s new Core Web Vitals. 34. Build A Web Crawler with Search bar Using Wget and Manticore [A Step By Step Guide] Hi everyone. In this article we are going to talk about how can you write a simple web scraper and a little search application using well known existing technologies which you perhaps didn’t know they can do that. 35. Jina, a Deep Learning-Powered Search Framework, Can Help You Build Your Neural Search Use Jina to search text or images with the power of deep learning. 36. SEO, Data Science & Correlative Analysis For Google Organic Traffic This article will touch on how data science can be used in SEO and look at how correlative analysis should be used during the content creation process. For those not familiar with these topics, there will be examples and pictures but as should be expected when covering any complicated topic, the scope of the article will be limited to the main purpose. 37. To be Relevant or not to be: a Search Story about Precision and Recall With the amount of data created growing exponentially each year and forecasted to reach 59 zettabytes in 2020 and more than 175 zettabytes by 2025, the importance of discovering and understanding this data will continue to be, even more than before, a decisive and competitive differentiator for many companies. 38. How to Use Fuzzy Query Matches in Elasticsearch Typo is something that often happens and can reduce user’s experience, fortunately, Elasticsearch can handle it easily with Fuzzy Query. 39. 3 Underused Structured Data Schema Markups Schema markup using structured data is a wonderful thing. Not only does it help Google Search better understand the content of a page, it can also display relevant snippets of information in search results. 40. Highlighting in Search Results In this tutorial you will learn how to highlight search results in Manticore Search. You can benefit from search results highlighting if you want to improve readability of search results in your application or a web site. 41. To be Relevant or not to be: a Search Story about Precision and Recall With the amount of data created growing exponentially each year and forecasted to reach 59 zettabytes in 2020 and more than 175 zettabytes by 2025, the importance of discovering and understanding this data will continue to be, even more than before, a decisive and competitive differentiator for many companies. 42. Fundamentals of Full-Text Operators and Basic Search In this tutorial, we will explore full-text search operators available in Manticore Search. 43. Dead Letter Queue no Elastic Stack Melhore a obsevabilidade da sua Stack Elastic, baseado em fatos reais Thank you for checking out the 43 most read stories about Search on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

43 Stories To Learn About Search

I’m a professional journalist who has worked in tech for a few decades. Since the bloom of social media, it’s been tough times for journalism as so many voices appeared and the cacophony was deafening. AI-generated content adds even more infotrash. But surprisingly enough, I think that , both as a risk factor and as an enabler. Two other articles from last week made me think about this. The first one from Semafor introduced their new offering: . Using Microsoft and OpenAI tools, Signals provides diverse insights on global news, adapting to digital shifts and AI challenges. Reed Albergotti, the technology editor of Semafor, : AI is here to bring us back to the quality of journalism Semafor’s Signals wrote “It’s a great example of a shift that is happening. The advent of social media was a weakening force for media organizations. AI, on the other hand, is a strengthening technology. Social media turned some journalists into stars and helped juice traffic numbers for almost every major publication. But the targeted advertising business, turbocharged by social media, siphoned money away from high-quality publications, and the traffic was just an empty promise. When people think of AI and news, the first thing that comes to mind is reporters being replaced by bots. While a handful of outlets like CNET and Sports Illustrated have been tempted to try this, those examples are just anomalies. AI-generated content is more or less spam, which doesn’t replace journalism. It drives consumers toward trusted publishers.” I totally agree with this point; in the age of AI, there is nothing more important than to have voices/media whom you trust. And here comes the professional journalist. The responsible journalist. Who is this person? That’s a tricky question since ‘responsible’ in the context of AI becomes a joke. In the era of AI, the question of what constitutes responsible journalism gains new dimensions. Last week, for example, was launched, a chatbot designed to avoid misinformation by providing vague responses and being “responsible”. Goody-2 AI can be dangerous and used as — for example — for , but in terms of journalism, it offers a bunch of amazing tools that significantly enhance reporting, editing, and content distribution. For instance, automated fact-checking platforms like in the UK utilize AI to quickly verify claims made in public discourse, enhancing the accuracy and reliability of news reporting. Data journalism has also been revolutionized by AI, with tools like allowing journalists to create interactive charts and visualizations without extensive coding knowledge. Moreover, The New York Times’ experiment with personalized article recommendations showcases how AI can curate content tailored to individual readers’ interests, potentially increasing engagement and subscription rates. audio-jacking Full Fact Datawrapper Last week, The Platformer was also the future of the web and journalism. contemplating “ ” To the extent that journalists have a role to play in the web of the future, it is one they will have to invent for themselves. Use Arc Search, or Perplexity, or Poe, and it is clear that there is no platform coming to save journalism. And there are an increasingly large number of platforms that seem intent on killing it. And here I agree again: no one is coming to save journalism, but with AI — as risk and enabler — journalism can finally return to its essence. Reflecting on the journey of journalism through the digital and AI revolutions, it becomes clear that while challenges abound, the essence of journalism as a pillar of democracy remains intact. Embracing AI thoughtfully allows journalism to return to its core mission: to inform, educate, and hold power to account — to have responsibility — thereby ensuring that it continues to thrive as a trusted guide in an increasingly complex world. News from The Usual Suspects © Vesuvius and Pompeii Using AI, three students read more than in 79 AD and won $700,000. 2,000 Greek letters buried in Pompeii Roblox The game company AI-powered real-time chat translations in 16 languages. introduced Sam Altman Sam Altman seeks for global AI chip production expansion. (That’s a lot…). Gary Marcus offers why the world should say no (that’s not that many…) $5–7 trillion 7 reasons OpenAI meanwhile OpenAI hits annual revenue being among the fastest-growing tech firms. $2 billion OpenAI is working on to automate diverse tasks. two AI agents Microsoft A summary of recent research from Microsoft and around the world that can help us create a new and better future of work with AI. NVIDIA Nvidia wants to start producing personalized chips for AI companies Google Google Bard to Gemini. Read Ethan Mollick about . rebranded mixed strengths and weaknesses A few Nvidia, OpenAI, Microsoft, and nearly 200 other companies the US AI Safety Institute Consortium (AISIC) to support the safe development and deployment of generative AI. joined The freshest research papers, categorized for your convenience Large Language Models and Their Enhancements : Demonstrates how increasing the number of agents in LLMs enhances performance through a sampling-and-voting method. More Agents Is All You Need Read the paper : Adapts general-purpose LLMs to specialized domains using custom input tags for domain- and task-specific behavior. Tag-LLM Read the paper : Introduces a 1-bit post-training quantization approach for LLMs, maintaining high performance under ultra-low bit-widths. BiLLM Read the paper : Enhances model alignment through online feedback, improving exploration and performance. Direct Language Model Alignment from Online AI Feedback Read the paper : Presents Hedgehog, a learnable linear attention mechanism that mimics softmax attention in Transformers. The Hedgehog & the Porcupine Read the paper : Proposes a novel AI framework for domains like Robotics and Healthcare, integrating visual autoencoders, language modeling, and action prediction. An Interactive Agent Foundation Model Read the paper : Pushes the limits of mathematical reasoning in open language models. DeepSeekMath Read the paper : Enables LLMs to self-compose reasoning structures for complex problem-solving. SELF-DISCOVER Read the paper : Compares the in-context learning abilities of State-Space Models against Transformer models. Can Mamba Learn How to Learn? Read the paper : Investigates the impact of pretraining data size and type on LLMs’ downstream performance. Scaling Laws for Downstream Task Performance of Large Language Models Read the paper : Studies optimizing tiny language models for mobile devices. Rethinking Optimization and Architecture for Tiny Language Models Read the paper : Explores depth pruning as a method for improving LLM inference efficiency. Shortened LLaMA Read the paper Multimodal and Vision-Language Models : Achieves personalized text-to-image generation by leveraging CLIP’s latent space. λ-ECLIPSE Read the paper : Proposes an advanced series of Multi-modality Large Language Models focusing on model performance and training efficiency. SPHINX-X Read the paper : Integrates text and speech in a multimodal foundation language model for improved semantic understanding and expressivity. SpiRit-LM Read the paper : Embeds question awareness within the vision encoder for enhanced multimodal reasoning. Question Aware Vision Transformer for Multimodal Reasoning Read the paper : Scales CLIP to 18 billion parameters, achieving significant performance improvements in image classification. EVA-CLIP-18B Read the paper Robotics, Autonomous Systems, and Interactive Agents : Enables adaptation to local traffic rules for autonomous vehicles using LLMs. Driving Everywhere with Large Language Model Policy Adaptation Read the paper : Demonstrates that offline actor-critic reinforcement learning can effectively scale to large models. Offline Actor-Critic Reinforcement Learning Scales to Large Models Read the paper Web Navigation, Conversational Systems, and Real-World Applications : Introduces a benchmark for conversational web navigation, highlighting the need for models that adapt to new web environments. WebLINX Read the paper : Enhances LLM learning by inducing mistakes and reflecting on them to extract task-specific principles. In-Context Principle Learning from Mistakes Read the paper : Presents CodeCompose, an AI-assisted code authoring tool offering both single-line and multi-line inline suggestions. Multi-line AI-assisted Code Authoring Read the paper Time Series Forecasting, Object Detection, and Other Innovations : Introduces a foundation model for univariate probabilistic time series forecasting, showcasing strong zero-shot generalization. Lag-Llama Read the paper : Enhances object detection by training on synthetic datasets generated from diffusion models. InstaGen Read the paper : Presents an algorithm optimizing distributions defined by stochastic diffusions for efficient sampling. Implicit Diffusion Read the paper : Proposes a method enhancing video understanding by consolidating past activations. Memory Consolidation Enables Long-Context Video Understanding Read the paper : Trains a transformer model to achieve grandmaster-level chess performance without explicit search algorithms. Grandmaster-Level Chess Without Search Read the paper Code Representation and Quantization Techniques : Introduces CODESAGE, an advanced model for code representation learning with a two-stage pretraining scheme. CODE REPRESENTATION LEARNING AT SCALE Read the paper Interpretability and Foundation Models : Examines the role of interpretability with the advent of LLMs, advocating for a broader scope in interpretability. Rethinking Interpretability in the Era of Large Language Models Read the paper In other newsletters For those curious about the most transformative innovation to semiconductor manufacturing since EUV — Hybrid Bonding by Semianalysis All My Thoughts After 40 Hours in the Vision Pro by Wait But Why A funny take on a paper that claimed that AGI had been achieved by Jack Clark from Anthropic (Import AI newsletter) The promise and challenges of crypto + AI applications by Vitalik Buterin Also appears . here

Could AI Usher Us to an Era of Quality Journalism?

এআই কি আমাদের মানসম্পন্ন সাংবাদিকতার যুগে সূচনা করতে পারে?

Könnte KI uns in eine Ära des Qualitätsjournalismus einleiten?

¿Podría la IA llevarnos a una era de periodismo de calidad?

L’IA pourrait-elle nous faire entrer dans une ère de journalisme de qualité ?

क्या एआई हमें गुणवत्तापूर्ण पत्रकारिता के युग में ले जा सकता है?

AI は私たちを質の高いジャーナリズムの時代へと導くのでしょうか?

AI가 우리를 양질의 저널리즘 시대로 안내할 수 있을까요?

A IA poderia nos conduzir a uma era de jornalismo de qualidade?

Может ли ИИ привести нас к эре качественной журналистики?

Yapay Zeka Bizi Kaliteli Gazetecilik Çağına Taşıyabilir mi?

AI có thể mở ra kỷ nguyên báo chí chất lượng không?

人工智能能否引领我们进入高质量新闻时代？

280 Stories To Learn About Future Of Ai

Over a month since its launch, some say that the Humane AI Pin may just be the beginning of the world's transition to an era of less screen time. The sail off of this $699 wearable technology could grant users a self-sufficient life where advanced AI technology is integrated into their daily lives with every piece of information available on the device with no screen attached to the lapel of their wears. According to Humane, the production company of AI Pin, this wearable tech is an embodiment of their vision to "integrate AI into our everyday living while enhancing our abilities in the world without overshadowing our humanity". You can say that they aim to present a whole new way for humans to communicate and interact with the world intricately and at all levels without the need for so many screens. Is that possible? Many have termed it "a potential smartphone killer". But if you ask me, I see it nowhere being near the truth. Let's see for ourselves what the prospects of AI Pin are. What is AI Pin? AI Pin is the brainchild of two very talented Apple ex-employees, Imran Chaudhri (hardware designer) and his wife, Bethany Bongiorno (software engineer) aimed at liberating humanity from smartphone addiction. The AI Pin is a small, lightweight, and screenless wearable device that combines AI technology, sensors, and a projector and is designed to provide users with a variety of functionalities that are both natural and intuitive when the device is interacted with. The AI Pin has the functions of a smartphone but as opposed to smartphones, it has no home screen or digital interface that can be looked at. It is like a tech pixie – a tiny powerhouse that marries artificial intelligence with the unassuming charm of a pin and strips away all the interface cruft from the fabric of your daily life. Thoughts are flying – without a screen, how do you operate the AI Pin? A touch on the device powers it on and it switches on at the sound of your voice or your hand gestures. You can talk and say what you want to know or do, and the device will act in response to your demands automatically. AI has grown more efficiently over the years, undergoing a metamorphosis from simple text commands to chatbots, to oral interactions. We've seen AI personas like Apple's Siri, Amazon's Alexa, Google Assistant, and Microsoft's Bing, play personal assistant roles to users. However, Humane makes its AI Pin an AI that you can carry anywhere effortlessly and with all convenience while giving you a more personalized interaction and experience. How Does AI Pin Work? In a , co-founders, Chaudry and Bongiorno detailed the full capabilities and technologies of the AI Pin. 10-minute video The gadget is a technology basically for talking not typing. Hence, it makes use of language models and not applications. Ending an era of apps, Humane's operating system, the cosmOS, runs a cloud-based AI-powered inventory called 'AI Bus" that understands what you need, picks the right response/data, and calls up the AIs and tools you need at the moment, so you no longer have to search for, download, or manage apps. Its unique features include: A Qualcomm Snapdragon chipset (Snapdragon processor with a dedicated Qualcomm AI engine), is crucial for AI technology because it is super fast and ensures optimum performance. An in-built network connectivity built right into Humane's network and connected by T Mobile. Every owner of the pin gets a special phone number. A wireless connectivity that enables users to integrate, control, and interact with various smart devices, and access online services. An ultra-wide RGB camera that scans objects and images immediately for necessary data and takes gorgeous pictures and video just by a double tap on the device. Depth and motion sensors are super smart and fast in tracking and recording your surroundings or detecting your hand gestures and interpreting them. A trust light indicator built directly into the Atkins hardware via a dedicated privacy chip and it indicates when the input optical or audio sensors are active, which ensures full transparency and data security. A laser ink projector that displays a visual interface of the AI Pin on the palm of your hand. A beacon light that notifies you when there is something new for you, like messages, services, etc. A special speaker that creates a 'personic' sphere bubble of sound that can be reduced or increased. A perpetual power system that consists of two pieces – battery boosters and a battery charger which helps in achieving all-day battery life. The AI is powered by GPT-4 and uses natural language processing to listen to, understand, and interpret user interactions. By interacting with the device either by a voice, gesture, or touch command, the AI can assist in tasks such as: Managing schedules, arranging meetings, answering queries, providing recommendations, summarizing important or daily messages, etc. Monitor health and fitness metrics, including heart rate, sleep quality, step count, daily calorie counting, etc. Find out information about events like the next lunar eclipse, map directions, songs to play, restaurants to visit according to your preferences, etc. Carry out transactions. Pay bills, buy items, order for products/meals, etc. Live translations of languages. The AI acts as an interpreter in a bi-lingual conversation, interpreting the receiver's language to you in your language and interpreting your language to the receiver in his/her language in your intonation. and many more. A Review of the AI Pin The wearable device sounds like such a thrill device, that anyone would rush to get one to try it out. I am very much intrigued myself. But is this acclaimed "do everything" AI gizmo truly capable of living up to its expectations? Let’s start by analyzing the design and features in respect to other devices. AI pin is a small thin, sleek, and lightweight hardware with a smooth glass surface, easily pinned to your lapel; the device is very comfortable for your daily activities and almost forgettable. Much more convenient to use than your smartphone in your hands, your wristwatch strapped to your hands, your AirPods stuck in your ears, or the Ray-Ban Glasses on your face. If this wearable device can replace the mentioned devices especially smartphones, then it is an easy sell; but this is improbable as these devices have uniquely positioned themselves in the lives of their users, such that, it  will take the AI pins some more years to play catch up in order to convince users that it is a better alternative. totally But Eras do come to an end, don’t they?? The laser ink display that projects some details like battery life, temperature, music, location, time (and so much more we are yet to find out) on the palms, which can be operated with simple hand and finger gestures, is quite an impressive feature for a wearable device with no screen. The perpetual power system with 2 extra hot swapping batteries (or battery boosters) for longer battery life that could last weeks without charge, may just be able to score some extra points if I do not have to swap the boosters during my day's routine. But sadly, it seems not as Chaudry, in the promotional video, opined: "...and this is how we achieve all-day battery life". Can someone tell me why exactly a device so small would exhaust 3 batteries in approximately 24 hours? That certainly does not give a lot of confidence in the device and has to be improved on. The privacy feature dares to be exceptional; it has no 'wake words' that ensure that the AI is not always listening or recording everything about your life (to cause an AI apocalypse/takeover in the future. lol). It only comes on and is active at its user engagement or voice. In addition, the prominent Trust Light indicates that the sensors are active and could be recording so you can keep whatever you have to keep private. If this is compromised, the pin shuts down automatically and needs Humane's professional service to get it functioning again. The bad side, you cannot contact Humane's professional services until you visit Humane's Care Centre, which is also the center you need to use to manage the AI Pin. To get in touch with the center, you have to resort to your smartphone or PC. (Haha! Play catch up, buddies! You can't completely get rid of your smartphones.) Where AI is concerned, there is still a tough call as to whether the technology is perfectly intelligent and wholly accurate. Humane's debut of the AI Pin served as a low blow to its 5 years of development as it features inaccuracies due to its AI slip-ups or fabrications. First, our hazy AI tells Chaudry that the best view for the next solar eclipse would be in Australia when in all common sense, the best view for the eclipse, which is the 'Great American Eclipse' would be in no other place than America. A huge slip-up, right? Next, after Chaudry asked how many grams of proteins the handful of almonds he held was, AI replied 15 grams. WRONG! According to dieticians, you have to engulf at least 60 almond nuts to get 15 grams of protein. If we have to depend solely on this AI when using the AI Pin, how sure can we be about the information it provides us? Confidence drops to 50%. This brings me to the price. $699? And a $24 monthly TMobile subscription to have access to unlimited calling, texting, and data connectivity to OpenAI's AI models and Microsoft? May not be outrageous for some technologies, but consider a small wearable device pinned to your lapel with no screen, I call that horrendous! Okay, it would be a fair price if it could auspiciously take the place of smartphones in our day-to-day lives by at least 70% and didn't have so many faults. This is its first entry into the market, which means there should be a lot of feedback and reviews that would lead to a couple of updates and upgrades for future models. Buying a debut device at such a price could only be out of curiosity. Can the AI Pin survive the test of time? Wearable devices like , a life-logging device designed to also sit on the user's lapel and take pictures at 30-second intervals, held on for 4 years until it dissolved. However, it would be demeaning to compare the AI Pin to the discontinued tech as it has more use cases and holds more promise. Narrative Clip The Humane couple and ex-Apple geniuses are confident in the future of the Pin. Bongiorno calls it the "world’s first contextual computer" and believes it will have a mass appeal - A computer Beyond Touch…. Beyond Screens Amidst all the criticisms, I must acknowledge that this is a first-of-its-kind gizmo – a screenless, seamless, and sensing AI-powered voice-controlled gadget that does not require connectivity to another smart device to operate. The advent of smartphone technology reduced our dependency on desktop and laptop computers. Likewise, the arrival of the AI Pin technology can greatly reduce our screen time by cutting down our  clinginess to smartphones. No one can tell the future; it is too early to predict as the technology is in its premature state. But just as the first iPhone was released in 2007 and continued to pass through different phases of development to become more sophisticated, the AI Pin is also very capable of this kind of development and growth, especially with the advancement of AI technologies. Are the chances of bigger corporations engulfing Humane and its AI Pin? I can't say for sure. But unapologetically, Humane has the backing and is heavily funded to a ton of  $200 million by A-list companies pushing technology around the globe. Some of these companies include OpenAI, Microsoft, Qualcomm Technologies, TIDAL, T-Mobile, Salesforce, and others. Competitors are sniffing at this technology and taking wild guesses regarding its future – Google, Meta, etc. However, Humane's greatest competitor could be…(your guess is as good as mine), Apple Inc. Apple's fascination with AI makes them a force to reckon with. They are known to have a radical approach that dominates the market and keeps them at the top as a tech giant.  They also play a smart game of acquisitions or competitions. If they can't acquire, they release a strong contender into the market. A pin that has the potential to overshadow the smartphone in our daily lives is not a novel idea that Apple can pass by and ignore. To stay on top of the game, they could watch the pun's prospects in the market and be whipping a checkbook in no time or releasing a more sophisticated version in few years down the line. You can't be too surprised if you hear iPin after a successful acquisition or iClip as a daring competition. (Note: This is solely a prediction from a personal point of view) In all cases, it is not for us to know. Humane could become an unprecedented force leading the technology of AI voice-controlled wearable gadgets and reshaping the way we interact with AI and technology. (P.S: Once Humane becomes a fully registered and public company and releases an upgrade of the AI Pin, I'll be taking up some shares. There is good potential here.) Final Words The world is buzzing with new and newer technologies every day. However, the AI Pin is a pacesetter that proves that it is not another neoteric attempt to make wearable tech a trend but a revolutionary voice-controlled device that will liberate users from the addiction to screens even in a tech-infused world.

Can Humane's AI Pin Survive the Test of Time?

হিউম্যানের এআই পিন কি সময়ের পরীক্ষায় টিকে থাকতে পারে?

Kann der KI-Pin von Humane den Test der Zeit überleben?

¿Puede el pin de IA de Humane sobrevivir la prueba del tiempo?

L'IA Pin de Humane peut-elle survivre à l'épreuve du temps ?

क्या ह्यूमेन का एआई पिन समय की कसौटी पर खरा उतर सकता है?

Humane の AI ピンは時の試練を生き延びることができるでしょうか?

휴메인의 AI 핀은 시간의 시험을 견딜 수 있을까?

O AI Pin da Humane pode sobreviver ao teste do tempo?

Сможет ли ИИ-пин Humane выдержать испытание временем?

Humane'nin AI Pin'i Zaman Testinden Geçebilecek mi?

Pin AI của Humane có thể tồn tại trước thử thách của thời gian không?

Humane 的 AI Pin 能否经受住时间的考验？

Last week, Humane their AI Pin. introduced After raising $230 million and spending years working on a device that would revolutionize the way we interact with technology, what was supposed to be the start of a new era has gone awry. Their launch video, focusing on the features instead of benefits, quickly attracted thousands of people bashing the AI Pin, mocking how the weight of the pin deformed the collar or how it was a gadget more than a revolution. One guy even went as far as saying: “Oh man, if only a device existed that could display information, make a call, & give me directions — oh wait, it does exist. It’s a fucking cellphone.” In short, viewers didn’t understand the real problem the device was solving, and most focused on the details over the long-term vision —all due to a bad story. Here’s what the AI Pin truly is, and how Humane should have marketed their product. A problem worth solving Today, we all more or less use our smartphones in 3 ways: Tools (calendar, photos, etc.) Communication (calls, text messages, etc.) Entertainment (Twitter, YouTube, Instagram, etc.) And Humane's new device has one goal: Connecting us back with other humans by eliminating the third bucket and cutting down our screen time. It’s that simple. Humane's goal is to let you leave the house without your phone, with only your AI Pin on your chest. They want you to finish your day's work, order an that will be at your door when you walk in, text your wife to say you'll be home soon, and take a picture of the sunset on the way home - all without your phone. Uber The AI Pin is what the smartphone was to the computer: a device that performs pretty much the same tasks but finds its relevance in its format. It reconnects you to reality by removing the interface that separates you from it. Being on your chest, the AI Pin can recognize what you're about to eat and remind you to avoid those peanuts if you're allergic. This accessibility is impossible for your phone, which remains far removed from your daily interactions even when carried in your pocket everywhere you go. With its compactness, the AI Pin removes the superfluous. When your smartphone's screen is more often entertaining than relevant, the AI Pin forces you to focus on the essentials. And while your iPhone vibrates at every Twitter notification, the AI Pin only comes to life when you think it's important. It isn't a functional tool. It's an information concentrator. So how should they have shared this vision? The launch video had one single goal: Let us reflect on our addiction to technology — and then judge whether we want to take the first step to claim our attention back. That's it. This means we didn't need to know all the product details in the first 2 minutes of the video. We didn't need a complete review of all the applications available either since they're all much more comfortable on a smartphone. It is evident that our photos will be of better quality on our phones and that the text we receive will be more legible on a screen than on our hands. The AI Pin presentation was here to raise the question: Is a device that'll serve the main functionality of a phone, without the burden of having to check it out every 5 minutes, worth $699? If I were working on marketing at Humane, I'd have made sure the first minutes of their video went something like this: Start with a big claim, explaining clearly the problem it solves. Explain how it solves it with concrete advantages. Close up with a vision of the future and a clear CTA. Better, isn’t it? The problem is clear — we’re bombarded with notifications and information. The solution is clear — it’s a device that removes the superfluous. The benefits are clear — it allows us to live moments fully, not behind a screen. Using the pitch above, their presentation could’ve sounded something like this: https://www.youtube.com/watch?v=iVLoqWK6niQ&embedable=true Always keep the benefits in mind Whether the device will live up to the expectations is another story, but Humane could (and should) have spent more time on their launch story. Last week was a good reminder that before launching a completely new product you spent years and millions building, you should always identify the purpose, highlight the core benefits, and try to make it look like you put in a little effort. Like double checking your information — missing the eclipse date when your logo is an eclipse? Really? Speak soon, - Eliot PS: What did you think of this article? If you enjoyed today's edition, - It'll help me understand what you want me to write about (and it only takes you 10sec). let me know here

Here’s How Humane Should Have Introduced Its AI Pin

Being a QA engineer for over four years, I decided to share my view of building the processes of software testing in companies and sum up everything that is inevitable to know for a good tester. BASIC TERMS First and foremost, let’s define the basic terms – what is ? What’s the main difference between and ? Where do they all stem from? Quality Assurance Quality Assurance Quality Control Well, has been around for quite a while. Its origins can be traced back to the early 20th century. One of the pioneers in the field was , an American physicist. Quality Control Walter A. Shewhart He developed statistical methods for industrial quality control while working at Bell Telephone Laboratories in the 1920s. Over time, these principles have been applied and adapted across various industries to enhance processes and deliver better products and services. …And of course, it touched software development where Quality Control lies in identifying defects or the behaviour which contradicts or do not align with business and functional requirements. Going further with , it’s slightly different process. It became popular in 1970s as organizations began to recognize the need for a more proactive and comprehensive approach to ensuring quality. Quality Assurance involves establishing processes, standards, and methodologies to prevent defects and errors rather than simply detecting and correcting them after production. Quality Assurance (or QA) To draw a conclusion here: Quality Control Quality Assurance We look for the existing bugs such as unexpected behaviour, bad user experience or misunderstanding requirements. We apply all best practices to prevent defects in future by building and enhancing QA processes. QA IN SOFTWARE DEVELOPMENT LIFE CYCLE (SDLC) Quality Assurance engineer is undoubtedly involved in the vast majority of stages of Software Development Life cycle. Analysis + UI/UX design: QA starts by ensuring a clear understanding of project requirements to set the foundation for quality development. How can we test if we don’t know the expected behaviour? This is why continuous collaboration with the Analysts and Project Management team is crucially important. The same with UI/UX designers. When application is not responsive, or it’s hard to identify the purpose of any UI element, it all makes user experience really bad. Would you want to order pizza from the website which froze for minutes last time you used it? I bet you wouldn’t! Implementation During implementation, developers can direct their questions about functional requirements to QA, particularly in subsequent iterations of development. Mostly, Agile methodologies assume ongoing collaboration among QA, Analysts and developers at each stage of this cycle. Testing itself It’s quite evident that QA plays an important role in test execution making it smoothly due to the prior gathering of requirements and thorough test planning. During testing, we verify that the product aligns with both business and functional requirements. I also incorporate what’s known as in each iteration of testing, involving no planning or documentation, just random scenarios that come to mind. And guess what? Each time it gives me at least a couple of new issues. Ad hoc testing Maintenance QA’s work does not conclude with the , we maintain the product and user feedbacks even after releases. In collaboration with the technical support department, QA remains knowledgeable about all processes and issues raised from the inception to the delivery of  the product. deployment QA PROCESS First let’s remember what is as it’s the most commonly used methodology software development in modern companies. The framework is an iterative methodology. After every sprint, teams reflect and look back to see if there was anything that could be improved so they can adjust their strategy for the next sprint. Here’s the most common QA processes chain. Agile Agile Requirements Requirements should be tested as well as the product itself because they can contradict each other, not respond the best practices of user experience, or the expected behaviour of some scenarios can be simply missing. Test planning The information gained during the requirements analysis phase is used for test planning. The test plan should comprise the software testing strategy, the scope of testing, the project budget, and established deadlines. It should also outline the types and levels of testing required, methods, and tools for tracking bugs and allocate resources and responsibilities to individual testers if there are more than one tester on the product. Preparing test documentation Here we are talking about test cases first of all. Just to remind you the main parts of a good test case are: (like testing environment, specific actions that need to be done with your system), , . Writing test cases can be time-consuming that’s why it’s better to allocate enough time for preparing them. In case of lack of time there can be the following options: preconditions steps expected behaviour You can write test cases only for the basic functionalities, cover smoke scenarios You can limit your documentation by checklists which are clear and understandable for professional testers but take quite fewer time than creating complete test cases coverage You can ask for AI help. If you generate a correct request to ChatGPT, for example: ‘ . It will give a good output which you can use at least while there’s no time for doing it properly and manually. Write smoke test cases for testing a 1-on-1 messenger as a support chat on the website. Include steps, actual behaviour and preconditions.’ Testing So it’s time to execute tests and if we didn’t miss all previous stages, we are good to execute testing the entire feature or any bug that has been pushed to testing. If QA finds a serious issue thanks to the flexibility of Agile methodology the bug can be fixed while testing is being performed. Reporting Depending on the bug tracking system selected on the project, or whether any bug trackers are used, reporting defects requires a solid understanding and proficiency in working with this system. The key here is to know the steps to reproduce a mistake and clearly describe actual vs expected behaviours. Automation And last but not least, automation stage. Ideally, between testing iterations, QA should have enough time to cover necessary scenarios with automation tests, but in practice, the lack of time often delays the creating automation scripts. Since automation is time-consuming process, it’s advisable to automate only basic scenarios in the early stages of product development. Start by covering all smoke scenarios initially, and then, if time permits, add the scenarios from the extended path. What to automate? Just to remind you the principle of choosing scenarios for automation, let’s look at the following image. What would I cover here with automation tests? we are going through the most and user case when a new user is being registered with valid data. This includes filling all inputs, clicking Sign up button.       Additionally, I would include the verification of – we need to make sure that user is created and added to a database. Automation frameworks are also capable to pull data from . First of all, basic positive backend databases that must be included to (whether it’s manual or automated), login if user already has an account. Even it’s the other feature but we are referring to it from our tested form. That’s why we need to make sure that we are able to open login form and authorise with valid credentials. The second scenario smoke testing Everything the rest does not go to the first iteration of automation. What will be included on the next iterations in automation? Basically everything that you will repetitively be testing each time for : invalid data input like special symbols, some kind of Javascript and HTML injections, or any other data not mentioned in product requirements. Here also goes filling the form with one missing input, with all missing inputs, registering the existing user and etc. Everything where your fantasy leads you and it makes sense in terms of regression testing. regressions Choosing automation framework The market proposes lots of paid and unpaid options. Here are the main factors which you should pay attention to: As I said there are pretty many free open-source options which are good for the starting small products but can cause extensibility or technical support. On the other hand, open source code is better in terms of debugging any issues that work incorrectly. Price: It’s good if an automation framework has a complete and clear documentation describing the main features and workflow, or at least support where you can address all related issues. Documentation and support: Scripts and data separation Automation test scripts separated from input data store (for example: XML, Excel files). No modification is required to the test scripts. Only input data gets manipulated for testing with multiple input values. Assume your application is so dynamic and your test scenarios are based on multiple logics (Ex:- If you click on A then B should be visible, else C should be visible), then you will need to develop your automation suite with your own methods which satisfy this requirement. To develop your own methods, the framework should provide its base methods. Opportunity to automate multiple logics This is a very interesting point. Some projects have specific requirements on testing features visually such as 3D engines, all games and web and desktop design tools, basically everything that has meaningful and editable visual assets. Visual testing: I personally used Cypress and its modules for web applications and Squish framework for desktop applications. How does visual regression testing works? In the first run, the script captures the actual image which we expect to be a reference image. In the next runs, the script captures the actual image and pixel by pixel compares the actual and the reference images. As the output, it creates a diff image showing which areas of actual image do not correspond with the reference. Before producing the output image, the tool considers whether there is any sensitivity factor or any other values that the user has specified. Sensitivity is also called . The or value defines how strictly comparison should take place. The higher the value, the lower the sensitivity and the comparison will ease out. threshold sensitivity factor BUILDING A TEAM The bare minimum that the QA team should cover is manual testing which includes both functional and non-functional. Automation engineer qualifications If we are talking about the necessity of hiring a separate automation engineer, that means that our product is not at its early stage of development, as having an automation engineer along with manual QAs can cost quite much money. Anyway, if we hire an automation engineer he or she should have: Working experience as a manual tester. It’s inevitable as these two close areas are interrelated. Background in programming ideally but at least solid understanding of what programming is. Expertise in any of automation framework And here I do not highlighting any particular framework as I personally think if a software tester knows how to work with one automation framework and has expertise in programming, they will be able to familiarize themselves with any other framework. Therefore, we have the following team: responsible for Quality Assurance in the company; Team Lead: responsible for the Quality Assurance of any project; Test manager: the quantity may vary but usually a good option is one QA per two developers; Manual specialists: depends on the product; Automated engineers: To sum up, to build a QA team you need to: Prepare project documentation for an easier onboarding Asses your resources and needs: expertise level, requirements for new hires, the number of new hires etc. Pick the right tools for the job: bug tracking system, test documentation platform, automation framework, CI/CD. Collaborate with recruiters and interviewing SELECTING TOOLS All members of development team, stakeholders and project management, everybody should be on the same page. By collecting all related issues in the same place, task management tools allow team members to be in the context of what’s going on and collaborate on planning and execution.
Such collaboration is useful as it keeps priorities of current tasks visible and help prevent the majority of issues from being pushed to release by mistake. Criteria of a good management tool The first criterion which should be considered when choosing a management tool is . What does it mean? It means that the selected tool should ideally have any training options like tutorial or tech support on how to get started, be ease of use, satisfy all project’s needs: for example, the feature to create sprint boards, adapt them to Kanban, Agile or any other methodology which your team uses or the fields for creating bug, the types of issues that are available to be created and lots of more issues which you face on a daily basis. integrability Tasks statuses, adjustable boards & sprints, tags, labels, assignees etc. – so basically all custom need that you’re applying in your software development cycle. Even if you are working according to one of the popular development methodology, you are not doing everything according to the set rules. The length of sprints can differ, the logic of moving tasks between projects can vary and so on and so forth. Customisation: Moving to a test management platform other than Excel is often driven by the need for to collaborate efficiently. However, when multiple users access the tool, challenges arise from tracking and security perspective. For instance, one of the critical things is whether the test management tool locks a particular test case when it is being accessed, preventing simultaneous edits by two individuals. multiple users Finally and most importantly, as other tools, the cost of a solution should be looked into while selecting a test management tool. This involves taking into account not only the upfront amount it costs to buy a tool, but also training, implementation, and support costs. Pricing: Besides managing tasks, it’s important to fill your environment with supporting tools and frameworks. What tools do you also need for a productive work? a must-have for those who maintain automation tests or stores test documentation in repos. The most popular version control system is Git for sure. It allows to track changes in any set of computer files, usually used for coordinating developers during software development but also widely used by software testers to develop and maintain automation tests and test documentation. Version control system: Depending on the programming language, tools like Visual Studio Code, IntelliJ IDEA, or Eclipse provide a comfortable environment for writing and debugging code. IDEs also support Git embedded to them. Integrated Development Environment: Automation testing tools have a significant impact on the final quality of product. We touched the criteria for choosing the right automation tool in the previous section but what should also be noticed here is that choosing automation framework depends on what type of application you’re developing: web application, mobile or desktop – they all have slightly different approach to testing and automating as a result. I personally use Postman. To make my work more comfortable, I create an hierarchy of folders with different types of requests depending on what feature they relate to.  This all is called workspace and it’s easily shared between team members. API testing tools: I guess most of us agree that AI became irreplaceable during every day work: writing the skeleton of test cases, asking for automation help and advices, language support. ChatGPT: video and chat like Slack, Zoom, or Google Meet and tools controlling your timetable and ideas like Apple Notes or Microsoft OneNote By the way, I became way more productive since I started using notes because all my tasks are listed there, I am not stuck thinking what I forgot to do, who I should reply to, what else is on my plate. These thoughts are destructive and don’t allow to focus on your job. Communication tools: Conclusion Quality Assurance is an integral part of software development that ensures the delivery of a high-quality product to its users. Therefore, setting and optimizing the testing environment and processes is a priority for anyone leading QA team, as well as for each team member. (Header image by pikisuperstar on Freepik)

Building QA Processes From Scratch: QA in SDLC, Collaboration and AI

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