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Artificial Intelligence (AI) has made strides over the last few decades. Further, it reached a point where we can find it in many aspects of our daily lives. It's a fact that knowing AI is a considerable advantage for developers. That's why, in this article, we'll be focusing on this topic. And as React is one of our favorite development tools, we decided to combine these two. Below, we'll go over React and AI basics. Then, we'll move on to some examples of unique AI-based features developed with React. Let's dive in! React Development Although many people refer to React as a framework, it is a front-end JavaScript library. This library is open-source and used to build user interfaces (UIs) for the web. Also known as ReactJS or React.JS, Facebook created it for internal use in 2011. Later, in 2013, they released it into the world. Today, React is a prevalent dev tool, and it's currently in its 18.0.0 version. Also, has lots of essential features. For instance, it's declarative and component-based. Furthermore, it supports the server side and is fast and easy to learn. React Artificial Intelligence The concept behind Artificial Intelligence is quite simple. It lies in the fact that computers can learn from existing decision-making examples. As a result, we can build smart machines that can perform human tasks. Some examples include speech recognition, fraud prevention, and smart assistants. Since AI is a broad field, it's divided into many sub-fields. What's more, these may also have their sub-fields. For example, there are neural networks, robotics, and machine learning. There's also fuzzy logic, natural language processing, and deep learning. React for AI Development Artificial Intelligence has brought on outstanding improvements to our daily lives. Its uses are far-reaching and are in almost, if not every, industry. When it comes to development, React has also shown considerable flexibility. Its features go from blogs and social networks to eCommerce and cross-platform mobile apps. What can these two achieve when combined? Speech Recognition Nowadays, speech recognition is an impressive and popular attribute. Moreover, it's beneficial for people with hearing or visual impairments. It has many uses, like hands-free control of various devices and equipment. Also, it allows writing documents through voice-to-text tech and security voice identification. These are a few examples of its wide applications. When it comes to React, there are several ways to add speech recognition. For instance, integrates ML to React to allow speech recognition. You also can use a text-to-speech API called and hook for assistance. this ready-made boilerplate rev.ai npmjs's react-speech-recognition Shopping Carts The AI of this shopping cart deserves its very own section. With AI plus React, websites can add items to their cart with voice recognition. For it, you'll need the framework. It allows through voice commands! Alan AI running an entire application ML Web-Apps You can also combine AI with React to create web apps with . To do so, you should develop the front end in React and the back end in Flask. Adding a machine learning model lets you predict values for specific inputs. Flask Image Search Let's say you want to add an image search feature to your project. React can help you with this as well! , used React for the front-end user interaction. Further, it used Node.js and its package manager NPM to build the back end. Other tools included Cloudinary for image storage and Algolia to start the AI search. As a result, the AI image-search tool looks for patterns among uploaded images. In this project Christian Nwamba Tic Tac Toe You can also use artificial intelligence to have some fun! That's the case in for AI development with React. This AI-based Tic Tac Toe uses Node.JS, React, and Adaptive Intelligence Program (AIP-3). As a consequence, it adapts to an opponent's skill level. How do you think AI fares against a human Tic Tac Toe player? this project Can Artificial Intelligence (AI) Write React Code? A big question regarding Artificial Intelligence is whether it will take over what are now human jobs. So, it would be interesting to dive into the question. Could AI write your React code for you? The short answer is yes, and then some. For instance, there is Generative . This autoregressive language model is a creation of . Also, it's trained to produce human-like text with deep learning from literary works, business memos, and, yes, codes. It can also write poems, fiction, and humor texts. CEO used GPT-3 to write React code for a fully-functioning app in seconds. If you are worried about your future as a programmer, don't panic! Although GPT-3 has shown fantastic potential, this AI cannot make breakthroughs. Yet, it is a tremendous tool to delegate smaller tasks so you can have time to focus on the bigger picture. You can sign up to be part of ! Pre-Trained Transformer 3 (GPT-3) OpenAI Debuild OpenAI's beta Final Thoughts As you can see, the opportunities are endless for AI development with React. We hope our overview has inspired you to use React in your next AI project! Also published . here

Can React Be Used for AI Development? We Believe So!

Let's learn about via these 53 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Machine Learning Uses /Learn Repo 1. Use Cascade Models to Get Better Speed and Accuracy in Computer Vision Tasks Great way to improve your Computer Vision models metrics 2. The Four Types of Machine Learning | Part 2 In the previous post, we saw the first two types of machine learning. In this post, we will discuss the other two types of machine learning. These are — Semi-su 3. The Convergence of AI + IOT is Imminent & Your Competitor is Already Preparing for It With the emergence of ever-cheaper and robust hardware, 5G connectivity around the corner, and most importantly, a growing list of real world use cases, we can all agree that IOT projects are here to stay. But is that where it ends ? 4. Adversarial Examples In Machine Learning Explained There are easy ways to build adversarial examples that can fool any deep learning model and create security issues no matter how complex the model is. 5. Reimagining Customer Behavior Through Machine Learning Here what you need to know about Machine Learning in business market strategy 6. Machine Learning: Santa’s little helper He’s making a list and checking it… well… once, because his model has a 98% accuracy 7. How AI Is Transforming The Field Of Education Artificial Intelligence (AI) is one of the wonders of the modern world, which isn’t going to cease to amaze the most intelligent of human beings. Like other fields, the field of education is also gaining the maximum amount of benefits out of the promises of the AI-powered technology. 8. Artificial Intelligence on Making Court Decisions In Estonia, artificial intelligence will play a crucial role in the future of human beings. It will play a crucial role in the functioning of judicial institutions, which is a great innovation. According to the authorities in this Baltic country, they are empowered to arbitrate cases of minor offenses autonomously. Unbelievable but true! 9. The GPUs for Deep Learning: NVIDIA vs AWS vs Azure and More Take a deeper dive into what a GPU is, when you should use it or shouldn’t for Deep Learning tasks, and what is the best GPU on-premises and in the cloud in 202 10. Debunking 4 Common Myths About Machine Learning Machine learning is a subset of artificial intelligence that involves the use of algorithms and statistical models to enable computers to improve them. 11. How Document Classification Can Improve Business Processes The process of labeling documents into categories based on the type of the content is known as document classification. It can also be defined as the process of assigning one or more classes or categories to a document (depending on the type of content) to make it easy to sort and manage images, texts, and videos. Document classification can be done using artificial intelligence, machine learning, and python. 12. How To Get Started With Machine Learning With The Right Mindset You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club. 13. How Companies Are Actually Using AI in Everyday Practices When thinking of AI (artificial intelligence), mixed emotions often come to mind. For movie buffs, we might immediately see images of Will Smith battling it out with humanoid AI creatures in IRobot or the even more realistic looking depiction of artificial intelligence in the movie aptly called AI. In our human minds, AI is something that could potentially lead to a catastrophic apocalypse as machines take over the world. 14. Every Way Natural Language is Better Than SQL Since the dawn of time, humans have communicated through gestures, drawings, smoke, or speech. Along the way, Structured Query Language (SQL) made its way into human life so we could speak to databases. However, it’s time to revert back to our natural language and rethink how we talk to our data. 15. How Machine Learning Can Help With Fraud Prevention Technology, without a doubt, has eased up a lot of issues for us, including the likes of fraud prevention. But before we start talking about the technological inputs pertaining to the same, it is necessary to understand why fraud prevention is actually required by businesses and why this genre of functionality is wide-spread and extremely popular. Firstly, financial firms are probably the most affected ones as fraudsters are actually interested in siphoning off money more than anything else. Secondly, fraudulent activities aren’t restricted to one vertical and it is a challenge for the firms to develop newer strategies for combating evolving threats. 16. Introduction to Different Machine Leaning Tools Machine Learning is one of the emerging technologies of the present IT industry. This technology has now become the talk of the town and has seen  an abnormally high growth over the few years. 17. Deploy Computer Vision Models with Triton Inference Server There are a lot of Machine Learning courses, and we are pretty good at modeling and improving our accuracy or other metrics. 18. Basic Use Cases of AI, ML, Deep Learning and Internet of Things The world’s most influential companies and technologies are influenced by the efficiency of Artificial intelligence and similar technologies. Whether it is Facebook or Amazon, Google or Microsoft, all firms are harnessing AI techniques and algorithms to introduce high-level performance and streamlined operations. 19. How is AI-powered Software Development influencing Pet Tech Technology is revolutionizing all aspects of our lives. Let's take a look at how AI-powered software development influencing pet tech. 20. An Introduction to AI-Based Visual Inspection for Defect Detection “Why should I care about a cool new technology until it’s solving any of my problems?” – this was the exact conversation I had with the executive of a water purification plant over a warm cup of coffee. 21. Announcing ModelDB 2.0 release Since we wrote ModelDB 1.0, a pioneering model versioning system, we have learned a lot and adapting it to the evolving ecosystem became a challenge. Hence we decided to rebuild from the ground up to support a model versioning system tailored to make ML development and deployment reliable, safe, and reproducible. 22. Most Useful ML Ops Applications Many ML Ops tools allow overseeing the entire machine learning model life cycle. Here are some of the most worthwhile ones to consider. 23. Vladimir Vapnik's New Learning Model Vladimir Vapnik recently gave a talk about a new theory of learning he is working on. 24. Evaluating Regression Models in Machine Learning Model evaluation is very important since we need to understand how well our model is performing. 25. Breaking into Deep Learning: Transforming the World Without Expert Input Deep learning is a subdivision of machine learning in which Artificial Neural Networks (ANNs) learn from a huge influx of data to produce high-quality output. 26. Model Tests are Essential for Building Domain Knowledge Testing protects against regressions. But the most important product of testing is domain knowledge and powerful capabilities. 27. Can Graph Neural Networks Solve Real-World Problems? In this article, we will learn about GNNs and its structure as well as its applications 28. The Future of Artificial Intelligence: To Kill or To Heal? The evil cyber-intelligence from the Matrix and a cyborg killing machine from the Terminator movies - that’s what most people used to imagine when talking about the future of artificial intelligence. 29. What’s the Difference Between AI And Machine Learning? It’s nearly impossible to have a conversation about technology without mentioning artificial intelligence (AI) or machine learning (ML). 30. Here’s How Libratus, a Poker-Playing AI, Bluffed Four Professional Texas Holdem Players The world of technology is changing at a faster rate than we can possibly fathom. Long gone are the days when we were the sole trailblazers in a human-tech relationship when the incentive resided in our hands. 31. What's the Difference Between MLOps and AIOps An overview of the MLOps and AIOps worlds to understand what they mean, how they relate to DevOps, and how they compare in terms of benefits. 32. Machine Learning Applications Across Different Industries 1952 witnessed the world’s first computer that could learn while it was running. It was a game of checkers developed by Arthur Samuel. It has barely been half a century since then and we’re already having a conversation about whether we should commercialize self-driving cars or not. Machine Learning gave birth to some of these great advancements in technology and we’re going to dive deep into everything it can do to make our lives much easier than ever before. 33. How AI and Machine Learning Changes Modern-day Industries It’s important to know exactly how AI and Machine Learning are transforming the industries and their role in our technological advancements. 34. Applications of Artificial Intelligence in Business Artificial Intelligence, the concept of ‘machines with brains’ has been in the spotlight around the last seven decades. A theoretical notion that started as simple rule-based automation in the 1950s' has now grown so much that now the scientists are trying to make human-like robots. The question- What AI might do to us? — has created a lot of controversies in and out of the scientific community. 35. 8 Machine Learning Trends that Impact Business in 2021 and Beyond Let’s discover the latest innovations in machine learning in 2021-2022 and go over various examples of how this technology can benefit you and your business. 36. Success With Machine Learning Projects in Python In this article, we will give you a sense of the applications for machine learning and explain why Python is a perfect choice for getting started. 37. Build A Commission-Free Algo Trading Bot By Machine Learning Quarterly Earnings Reports [Full Guide] Introduction 38. What is Machine learning and Why is it Important? Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. 39. Is Automation Jeopardizing Our Future? Is automation jeopardizing our future? What's its impact on our future and the job market? And how can we cope up? 40. Universal Data Tool Introduction: Weekly Update 2 If you haven’t heard of the Universal Data Tool, it’s an open-source web or desktop program to collaborate, build and edit text, image, video, and audio datasets with labels and annotations. 41. An Introduction to Variational Autoencoders Using Keras In this tutorial, we’ll explore how Variational Autoencoders simply but powerfully extend their predecessors, ordinary Autoencoders. 42. How To Improve Data Quality When With Unsupervised Machine Learning There won’t be any business insights if the data quality is poor. 43. How Machine Learning is Used in Astronomy Is Astronomy data science? 44. Will Machine Learning Algorithms Encroach on Content Marketers? Since its inception, the field of online content marketing has been in a constant state of flux. This tendency is built into it — since it operates in an ever changing online world, all it can ever do is change along with the internet. For better or for worse, the rapid advent of machine learning algorithms in online processes will only lead to more change in the field of content marketing. 45. How To Identify Trees with Deep Learning Idea / inspiration 46. Pecan.ai Raises 11 Million to Bring Machine Learning to Business Analysts Pecan.ai has just come out of stealth, raising an $11M Series A, to enable business analysts to build machine learning models automatically. Dell Capital led the round, joined by S capital and bringing the total funding of the company to $15M. 47. Embeddings in Machine Learning: Everything You Need to Know Here's a deep dive into the history of machine learning embeddings, common uses, and current infrastructure solutions, including the vector database. 48. Quantum Machine Learning Using TensorFlow Quantum INTRODUCTION 49. How Data Analysis Helps Unveil the Truth of Coronavirus These days we are all scared of the new airborne contagious coronavirus (2019-nCoV). Even if it is a tiny cough or low fever, it might underlie a lethargic symptom. However, what is the real truth? 50. Big Tech Companies Need Machine Learning Engineers Machine learning is no longer a sci-fi concept, but an actual application of AI technology we use every day. 51. No Such Thing As The Intelligent Edge But it will be much bigger than the Internet. 52. Why It’s Very Difficult to Create AI-Based Slow Motion Over the last few years a number of open source machine learning
projects have emerged that are capable of raising the frame rate of
source video to 60 frames per second and beyond, producing a smoothed,
'hyper-real' look. 53. Optuna Vs. Hyperopt: Which Hyperparameter Optimization Library You Should Choose Thinking which library should you choose for hyperparameter optimization? Thank you for checking out the 53 most read stories about Machine Learning Uses on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

53 Stories To Learn About Machine Learning Uses

If you use ChatGPT in your everyday work, you've probably found that copy-paste prompts from your text or Excel file are a pain. Well, the solution could be a light weighted Chrome Extension that appears on the ChatGPT interface, and honestly, I searched for extensions in Chrome Web Store but these extensions are not so usable if you want to handle your own library or collection. I also understand that most people have a prompt library of about 50-150 prompts; we simply don't use 10,000+ prompts every day. But sometimes we do a lookup for a specific one that could be useful. The Problem With Copy-Pasting Prompts Copy-pasting prompts or other text into input fields is often a repetitive and inefficient process that can lead to several issues. Mistakes in copying can cause truncations or formatting errors, while inconsistencies in content across different sources may result in an uneven appearance. The constant overwriting of the clipboard and the time-consuming nature of repetitive copy-pasting tasks can hinder productivity, not to mention the time-consuming nature of searching for a specific prompt in a raw text or Excel file. Solution: PI Prompts (Chrome Extension) For Prompt Engineers Why? You can simply add or upload your already existing prompt library to the extension which will appear . The magic starts as soon as you start writing in the ChatGPT input field. on the right-hand side of the ChatGPT interface What Does ‘PI' Mean? ‘PI' means and comes from a modern sci-fi book called (The Wise Society Book 1). In this book, every human had a personal Artificial General Intelligence (AGI) that gave a right hand in every situation for the human owner. ‘Personal Intelligence' Conjunction Hence, the book is a work of fiction, it includes a very important principle that AI should belong to people, not corporations. The story shows a unique utopistic vision of decentralized AI, though it also contains a CIS (Artificial Super Intelligence) to solve broader problems for humanity. AI assistants today are working in the cloud which isn't ok from a data protection point of view. PI is representing a concept where AGI is decentralized and has its only purpose to serve its owner. How to Use PI Prompts? Step 1: Use the ‘Add' or ‘Upload' Button to Fill Your Panel With Your OWN Prompts There will be a new ‘Add' button on the ChatGPT interface, where you can add frequently used prompts to the PI panel. Another solution is to upload prompts as a JSON file to the extension. Simply use the following format in a text editor, and save it as a .JSON file. [“your prompt 1″,”your prompt 2”, “your prompt 3”] Step 2: Start Writing Normally in the ChatGPT ‘Send a Message’ Field, and the Panel Will Filter Your Prompts Automatically The extension filters prompts based on what the user types into the ChatGPT input field. The matching text part is also highlighted on the panel and only the matching prompts will remain on the panel. Step 3: Click on the Right Prompt in the Panel and It Will Quickly Fill It in the ChatGPT Input Field, Where You Can Extend the Prompt With Custom Context The extension fills the ChatGPT input field with the prompt text when a prompt in the panel is clicked. This is a very intuitive and hassle-free process. How to Get PI Prompts? Register a free account on OpenAI's , and log in to the chat interface. ChatGPT “Add to Chrome” the free Chrome Extension to your browser (since the Extension is absolutely free, please don't forget to give a star rating in the under the “Review” tab). PI Prompts Chrome Web Store The right panel will appear on the ChatGPT interface. You may want to download my own if you are new to prompt engineering. Prompt List Main Features of PI Prompts No registration required! Upload or Add your own frequently used prompts Save (backup) your prompts locally in a simple file Filters your prompt library instantly when entering any text into the ChatGPT input field (highlights the found text part in the prompts) Writes the prompt into the ChatGPT input field when clicking on it You can edit or remove your prompts right in the panel Syncs your prompts across your devices seamlessly Compatible with AIPRM Chrome Extension (replaces “Own” prompts functionality, but in a more intuitive way) 10 Tips for New Prompt Engineers If you just started using ChatGPT or you feel still a newcomer in the world of AI, we collected some actionable takeaways for new prompt engineers. 1. Define the Objective Clearly Before writing a prompt, explicitly outline what you want the model to achieve. For example, if you need to write a program with Javascript, specify the structure and key features of your program, and describe how it should look like. Consider creating a detailed requirement document that includes the expected inputs, outputs, user interactions, and any dependencies or constraints. This clear definition helps ensure that the final product aligns with your goals and can serve as a reference throughout the development process, keeping everyone on the same page. 2. Use Specific Keywords and Phrases Instead of vague terms, use precise keywords or phrases in your prompts. For instance, instead of asking “Tell me about X,” ask “Provide a brief overview of X, focusing on its history, main features, and applications.” By being more specific, you guide the model to provide exactly the information you need. This approach minimizes misunderstandings and reduces the need for follow-up questions or clarifications. It's a simple adjustment that can make a significant difference in the quality and relevance of the responses you receive. 3. Build a Prompt Library It saves a lot of time, and here is where the Chrome extension comes into the picture. Organize your commonly used prompts in separate JSON files, and switch your prompt library if you are working on a separate project. PI Prompts This method (sharing JSON prompt libraries) is also useful to give easy access to other team members. By centralizing your prompts, you create a repository that can be quickly updated, customized, and shared. This not only enhances collaboration but also ensures consistency across different tasks and projects, contributing to a more efficient workflow. 4. Context Is Everything To get better answers from ChatGPT, provide more context and background information. Instead of a one-line input, copy-paste article parts to the LLM (Large Language Model). By providing more context, you allow the model to understand the specific nuances and subtleties of your query. It helps in generating responses that are more aligned with your expectations and the underlying subject matter. Think of it as a conversation where more information leads to more thoughtful and informed responses. This approach can be particularly beneficial when dealing with complex or specialized topics. 5. Request a Specific Style If you are working on a specific project, don't forget to request the answer's style. Like if you are working on a research project, request the characteristic of a scholar from ChatGPT. Specifying the desired tone, language, and format helps ensure that the response fits seamlessly into your project. Whether you need a formal academic analysis, a casual blog post, or a creative narrative, articulating your stylistic preferences helps the model tailor its output accordingly. This adds another layer of customization and can save you time and effort in editing and revising the generated content. Conclusion Whether you're a seasoned prompt engineer or just starting with prompt engineering, is the Chrome extension you need. It not only saves your prompts but also provides an efficient and intuitive interface for managing and accessing them. PI Prompts Give it a try today and enhance your workflow like never before! This article originally appeared on . Joelbooks

Accessing Your ChatGPT Prompts Without Copy-Paste (2023): PI Prompts for Prompt Engineers - A Guide

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

Technology is rapidly reshaping our everyday lives, providing us with greater access to information and allowing us near-seamless communication with anyone, anywhere, at any time. We tend to perceive the digital and technological drive towards transformation as a possible threat to our ordinary and seemingly nostalgic way of life. Yet, technology has enabled us to better understand our planet and those around us. It’s helped us create a better understanding of life and everything that makes us human. It’s allowed us to make faster, better, and more accurate data-driven decisions and mitigate the potential of long-term risks. For all of this to happen, continuous investment in innovation and the masterminds behind them ensures that humanity, in (AI) can reach further parts of the universe, come up with better solutions to social and inequality issues, and act as the pivotal moment that enables us to enter a new digital era. collaboration with machines and Artificial Intelligence Implementing Technology in Your Business With all of this technology, endless digital tools, reams of data, and countless resources, why wouldn’t you want to invest in the potential of technology and the future of your business? While an important question to ask, the more important thing to consider is what tools you have available and how they will help increase employee satisfaction, drive customer engagement, and improve overall productivity. Technology helps to reshape our way of thinking, interacting, working, and communicating. Already, businesses are seeing the potential of technology on a wider scale and leveraging new tools to help scale their business, increase market share, and put them ahead of their competitors. As a result, more than half of business owners - 56 percent - have recently reported that they have started increasing their investment in technology, by cloud-based accounting conglomerate . according to a report Xero Following this, a robust 40 percent have mentioned that they strongly intend to further build on their technological investing in the year ahead, purely as these tools are helping them reach new customers, increase their market presentation, and help scale their business. For any business owner, introducing a new strategy, concept, or idea often requires careful consideration. Understanding your organization’s strengths and weaknesses can help identify new opportunities and help you and others pay close attention to potential risks, including cybersecurity pitfalls and malicious cyber threats. just earlier this year published research on and found out how American adults lost more than $2.7 billion last year on social media scams and fraud. This alarming amount is only set to increase in the coming years as more people begin to use technology for everyday activities and companies and governments continue to digitize their infrastructure. ExpressVPN 2024 scams to be aware of Through the right tools and facilitating training sessions for employees, without having to disrupt day-to-day workflow or further increase budget expenditure, your company can develop a digital transformation strategy that increases employee output, boosts productivity, and promotes overall team engagement. How Does New Technology in the Workplace Benefit Employees? Whether you employ a handful of people or are in the process of rapidly growing your employee headcount, right off the bat, it’s important to consider how new workplace technology will affect, benefit, and influence the way staffers are working, communicating and engaging with their peers and your customers. Increased Workflow Your employees’ time is valuable, and often, the disconnection is that with technology, employees will have more work on their hands instead of alleviating their workloads - although this isn’t always the case. In one estimate, experts can help improve 90 percent of knowledge workers and help to further replace repetitive and time-consuming tasks. believe that automation in the workplace By implementing the right set of tools, you can help minimize potential barriers for your teams, whether it’s communication gaps or employees working in different time zones, help boost creativity, and minimize the need to complete time-consuming tasks in their day-to-day lives. Improved Productivity Thanks to technology, and the right sets of tools, your employees can now get more done in less time, ultimately helping to drive overall business output. In one report, businesses in software, telecommunications, and internet publishing have seen since 2005, well above the lackluster 1.4 percent U.S. average. productivity grow by 5.5 percent These companies have seen productivity propelled by the innovations and wide-scale introduction of internet services, software, and cloud computing. By enabling employees to have access to the right digital assets of your business, you’re not only investing in near-term successes but long-term scalability. Data Harvesting On the back end, data plays an important role in the entire business structure. With access to the right data and information, companies can better understand their consumers and help provide them with the services they need. However, as an employer, this provides an opportunity to find and retain highly skilled individuals, train new employees more effectively, and monitor performance. With data at the helm of things, owners can now ensure that employees receive training in areas where they may be lacking critical skills. They can further help to improve communication abilities among teams, as they now better understand their peers and their clients' needs. How Does Technology Benefit My Business? Next, you should be considering how technology, in the wider scope of things, will help benefit your business right now and in the future. Improved Customer Engagement Having your eyes and ears everywhere all the time can be challenging. Fortunately, tech enables you to increase your presence, not just physically, but in the way through which you interact, engage, and communicate with clients. Through technology, businesses can now provide around-the-clock customer service with things such as chatbots. They can follow trends, understand how customer demands are changing, make quick and accurate decisions, and, most importantly, enhance the customer experience by providing them with the answers they want. Provides Competitive Advantage Customers expect you to be where they want you to be, but it's a bit hard to get going when you’re only a handful of people running the business. With digital tools, owners can begin to connect the dots, seeing where their customers are and how they can stand out against their competitors. Making the switch over to technology will enable you to plan for changing market trends and provide you with the insights needed to gain a footing above other businesses. Delivery of high-value insights, such as consumer data and macro data, helps you better understand your positioning in the marketplace and how to navigate challenges. Importance of AI You’ve probably realized that you might need to introduce some form of artificial intelligence into your business. In fact, one of 1,000 small business owners found that 91 percent of those who had implemented AI witnessed an improvement in their success. AI is helping improve company efficiency, driving productivity, and helping boost employee workflow. survey More than this, AI is designed to provide personalization, allowing businesses to create content and ideas that are closely related to their business and their customers. AI enhances the customer experience through unique algorithms, helps to gather and sort data more efficiently, and provides customer support when no one is around. Artificial intelligence helps to fill the cracks and bridge the gaps, ensuring your business is always operating at its peak performance. What Are the Security Concerns Regarding More Tech in the Office? Cybersecurity plays an important role in a business that works, communicates, and engages mostly online. Potential Security Risks There is no such thing as “too small” of a business to experience a cyberattack. In 2023, more than 73 percent of small business owners and leaders reported a data breach or cyberattack. Cybercriminals come in all shapes and forms, often disguised as unsuspecting emails, a link on a social media post, or even a text message. Not only this, but the various types of threats a person may encounter can range from malware attacks, spyware injections, ransomware, or social engineering attacks. You always run the risk of coming face to face with some sort of suspicious cyber activity, and when that time does come around, you’ll need to be best prepared. Employee Cybersecurity Training While it’s important to provide employees with sufficient digital training, other aspects, such as cybersecurity training, can be just as important for any employer and their business. Knowing what a cyberattack might be or what it looks like can help employees use predetermined models to curb potential threats. By making sure that your employees are well-trained and know what to do in the event of a cyberattack, you can protect valuable information and reduce the risk of losing money or having your company’s reputation tarnished. What Are the Short-Term Considerations? Although it’s important to think about the long-term success of a tech transformation in your business, the near-term turnaround is perhaps more important at the moment. Employee Training Being ready for the future means preparing everyone right now, and that includes sufficient employee training. Your technology will only be as successful as the teams using it, and without adequate training, employees tend to lose interest or often feel demotivated to work in collaboration with technology and artificial intelligence. You want to hire a digital consultant to provide insight regarding training boot camps. You can talk to employees long before implementing any technology to better understand their opinions and level of expertise with certain programs and digital tools. Communication is key, and the more there is of this, the better, that’s because think they’re helping employees learn new skills, when in fact, only 38 percent of employees agree. 74 percent of employers Available Resources Unfortunately, implementing new technology in the workplace isn’t a simple plug-and-play scenario. From the first day, you will need to make sure that you have the capacity to handle such a big transformation and that you can manage all the various facets of a digital transformation. You’ll need to make sure that your team has the necessary skills to work with certain tools, and if not, how you can provide them with sufficient training. Additionally, you will need to develop a standard operating procedure that employees can use as a reference when they are unsure of something. Holding regular training sessions and making sure you have the necessary resources will help make the transition feel less unorganized. Running Costs Next is the cost of implementing the office tech and the initial operating costs that will follow. Typically, business owners only plan for the initial cost of implementing and starting up their new office tech; however, other unforeseen costs can arise at any given moment. Routine maintenance, upgrading tools, or even replacing some components are all normal things that come with having office tech. As a business owner, you should ensure that you have a budget and the necessary finances to cover the cost of new technology and all the . various components that come with such a transformation Final Thoughts The future of work is beginning to change, and business owners need to continuously deliver exceptional digital solutions to ensure they remain ahead of their competitors and perhaps more importantly, leverage technology as a way to grow and increase their market share. With the right set of tools and the right skills, your business can transform from a robust company to a seamlessly running enterprise that uses technology to promote communication and engagement among employees and customers and provide sufficient, timeless, and relevant data-driven solutions that can benefit the scalability of your business.

How to Choose The Best Office Tech For Your Business

It's been a busy few weeks, with each of the tech behemoths reporting their earnings for the third quarter of the year. Here's a quick recap of the billions each one of them made: -parent saw a whopping 11% year-over-year in its revenue during the three months ended Sept. 30. The tech titan made a profit of $19.69 billion on revenues of $76.69 billion in the preceding quarter, compared to a profit of $13.91 billion on revenues of $69.09 billion in the same period of 2022. Google Alphabet increase The increases were driven by "meaningful growth in Search and YouTube, and momentum in Cloud," Alphabet CFO Ruth Porat said in a statement. too reported an in its revenues and profit for the three months ended Sept. 30. The Windows maker generated $56.52 billion in revenue and $22.29 billion in income last quarter, compared to the $50.12 billion in revenue and $17.56 billion in net income in the same quarter last year. Microsoft increase As with Google, Microsoft attributed a momentum in cloud computing as a catalyst for the increased sales. Meanwhile, over at Mark Zuckerberg's Meta, the Menlo Park, Calif.-based social media giant had an eye popping . The company made $34.15 billion in revenue, up 23% year over year, but the breakthrough was of course, the profit: up more than 2.5x to $11.58 billion from the $4.40 billion a year ago. turnaround story Topping things off, said its net sales increased 13% year over year to $143.1 billion during the most recent quarter while net income was to $9.9 billion from $2.9 billion a year ago. Amazon up Despite raking in billions, each of these companies of people this year in a bid to save cost and even out the lack of growth from the COVID-19 days when their businesses were booming. laid off thousands Google ranked #6 on HackerNoon's Tech Company Rankings this week. Microsoft ranked #8 while Meta was on the #24 spot. ⛲ Amazon, Google's Plan to Beat ChatGPT: Invest in Its Competitor It looks like Google is partnering with Amazon in funding a startup that promises to compete head to head with Microsoft-backed OpenAI's ChatGPT. We are, of course, talking about Anthropic, the San Francisco-based generative AI startup that received an inflow of $1.25 billion from Amazon last month with promises of another cool $2.75 billion. Well, Anthropic is now Google to its list of investors, as the search giant too is investing a cool half a billion dollars in the startup with commitments of up to $1.5 billion in the future. adding The combined $6 billion from Amazon and Google, while nothing to scoff at, is still less than half the $13 billion Microsoft has reportedly into OpenAI ever since it shook hands with the company in 2019. injected What's also interesting is the fact that, as opposed to OpenAI, Anthropic has garnered interest from two major tech giants who compete against each other in the cloud space. It just might seem that companies that are lagging behind in the AI space are trying to play catchup and catch lightning in a bottle, similar to how Microsoft did with its investment in OpenAI. Also, an interesting fact: Anthropic was co-founded by former OpenAI executives and siblings Dario and Daniela Amodei. Exciting times ahead! 👋 You’re reading of HackerNoon's Tech Company News Brief, a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. went live yesterday. Prefer reading the whole thing a day early AND in one go? No problemo! Just subscribe to receive the newsletter in your inbox every Tuesday. part 2 Part 1 here complete In Other News.. 📰 Resident Evil Village on the iPhone could be a preview of Apple’s gaming future — via . The Verge Google CEO Sundar Pichai to testify in US antitrust trial — via . Reuters Amazon’s Tye Brady discusses generative AI, humanoid robots and mobile manipulation — via . TechCrunch A look back at Elon Musk’s first year owning Twitter, in tweets — via . CNN Fidelity has marked down the value of Twitter/X by 65% — via . Axios Biden unveils U.S. government’s first-ever AI executive order — via . CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's page. Tech Company Rankings

The Tech Company News Brief: How Much Money Did Tech Companies Make Last Quarter? 

টেক কোম্পানির সংবাদ সংক্ষিপ্ত: টেক কোম্পানিগুলো গত ত্রৈমাসিকে কত টাকা উপার্জন করেছে?

The Tech Company News Brief: Wie viel Geld haben Technologieunternehmen im letzten Quartal verdient?

Resumen de noticias de The Tech Company: ¿Cuánto dinero ganaron las empresas de tecnología el último trimestre?

The Tech Company News Brief : Combien d’argent les entreprises technologiques ont-elles gagné au dernier trimestre ?

टेक कंपनी समाचार संक्षिप्त: टेक कंपनियों ने पिछली तिमाही में कितना पैसा कमाया?

テクノロジー企業ニュース概要: テクノロジー企業は前四半期にどれくらいの利益を上げましたか?

기술 회사 뉴스 개요: 기술 회사는 지난 분기에 얼마나 많은 돈을 벌었나요?

Resumo das notícias da The Tech Company: Quanto dinheiro as empresas de tecnologia ganharam no último trimestre?

Краткий обзор новостей технологических компаний: сколько денег технологические компании заработали в прошлом квартале?

Tech Company Haber Özeti: Teknoloji Şirketleri Son Çeyrek Ne Kadar Para Kazandı?

Bản tin tóm tắt về công ty công nghệ: Các công ty công nghệ đã kiếm được bao nhiêu tiền trong quý vừa qua?

科技公司新闻简报：科技公司上季度赚了多少钱？

As if the underwhelming launch of 's " " processors wasn't bad enough, the Nasdaq-listed company now has to contend with competitors eating away at its market share. Intel next generation In a development that spelled bad news for the long-time maker of processors, a last week detailed attempts by to enter the personal computers market by designing its own CPUs based on ARM technology. Now, Nvidia is mostly known for its graphics cards, but this wouldn't be Team Green's first stint at designing processors: it's dabbled in producing integrated processors under the Tegra family — which also utilize ARM technology — to power things like the Nvidia Shield and even the ! media report Nvidia Nintendo Switch By designing new processors, Nvidia is looking to capture the Windows market. Currently, Intel predominantly supplies all the hardware that is used in Windows-powered laptops, but isn't cool with that. It wants to be able to diversify its supply, and it really badly wants processors with ARM technology. Why? Because they're great at powering things like laptops and tablet computers, but also, because has had great success in using ARM-based processors to power its Mac computers, giving them an edge over competitors due to their battery life and speedy performance. Microsoft Apple But that's not all. A note from Morgan Stanley earlier this year detailed how Apple's A-series and M-series chips were well-positioned to benefit from the rise of AI work loads being pushed to the edge. Basically, given Apple's efforts to optimize the integration of hardware, software, and services, the has been able to roll out more powerful and efficient chips each year. world's most valuable company Now, with Apple wanting to transition AI-intensive tasks onto the edge, these ARM-based processors, which power things like the iPhone but also the iPad and the Mac, are primed to help users generate content on-device more quickly, and Microsoft knows. Which is why, it is encouraging companies like Nvidia to develop hardware that could help Windows-based hardware compete with the likes of Mac. Nvidia's experience with producing graphic cards that are primed for AI workloads gives the company a bit of an edge, but Team Green isn't the only game in town. According to Reuters, too is looking at developing ARM-based CPUs. AMD AMD's shtick has always been to stick it up to the likes of Intel and Nvidia on things like pricing and performance. When Intel and Nvidia get with and get too comfortable with their market position, AMD's there to that it exists. too cocky their hardware remind them From our point of view, this trifecta of companies looking to compete against each other on things like CPUs, GPUs, and ARM-based technologies can be massively beneficial for consumers as it gives them more options and better prices. But, and more importantly, this looming competition could finally give these companies a reason to build bigger and better hardware instead of just new code onto silicon chips as if that would make them perform better than last gen hardware. lazy slapping The race for hardware that blows everyone's minds is on, and Intel is lagging behind. Will Team Blue bring its house into order? Will it experience a comeback or will it be forgotten? We'll be here to let you know. Intel ranked #50 on HackerNoon's this week. Nvidia was on the #66 spot. Tech Company Rankings 👋 You’re reading of HackerNoon's Tech Company News Brief, a weekly collection of tech goodness that combines HackerNoon's proprietary data with internet trends to determine which companies are rising and falling in the public consciousness. goes live tomorrow. Hate waiting? No problemo! Just subscribe to receive the newsletter part 1 Part 2 here complete a day early in your inbox. In Other News.. 📰 Resident Evil Village on the iPhone could be a preview of Apple’s gaming future — via . The Verge Google CEO Sundar Pichai to testify in US antitrust trial — via . Reuters Amazon’s Tye Brady discusses generative AI, humanoid robots and mobile manipulation — via . TechCrunch A look back at Elon Musk’s first year owning Twitter, in tweets — via . CNN Fidelity has marked down the value of Twitter/X by 65% — via . Axios Biden unveils U.S. government’s first-ever AI executive order — via . CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's page. Tech Company Rankings

The Tech Company News Brief: It's a Bad Time to be Intel

টেক কোম্পানির সংবাদ সংক্ষিপ্ত: ইন্টেল হওয়ার জন্য এটি একটি খারাপ সময়

The Tech Company News Brief: Es ist eine schlechte Zeit, Intel zu sein

Resumen de noticias de The Tech Company: Es un mal momento para ser Intel

The Tech Company News Brief : C'est un mauvais moment pour être Intel

टेक कंपनी समाचार संक्षिप्त: इंटेल बनने के लिए यह एक बुरा समय है

テクノロジー企業ニュース概要: インテルになるには悪い時期です

기술 회사 뉴스 요약: Intel이 되기에는 나쁜 시기입니다.

Resumo de notícias da The Tech Company: É um mau momento para ser Intel

Краткий обзор новостей технологической компании: сейчас плохое время для Intel

Teknoloji Şirketi Haber Özeti: Intel Olmak İçin Kötü Bir Zaman

Tóm tắt tin tức của công ty công nghệ: Trở thành Intel là thời điểm tồi tệ

科技公司新闻简报：现在是英特尔的糟糕时代

Dear reader, Welcome to the latest edition of the “ One More Thing in AI newsletter.” For Startup founders and Business Leaders like you who want to get smarter on AI in less than 5 minutes . I hope you enjoy this edition. I'd love to hear your feedback (positive or negative). Best regards, Renjit Philip In this Edition 🤖👥 : AI Paradox: Meta's Chief Scientist Weighs in on the Existential Debate AI -Humanity 🎵📜 : The Fine Line: AI, Lyrics, and Copyright Battles Music 🛠️🖨️ : The Blueprint of Tomorrow: AI Build's Smart 3D Printing Software 3D Printing 💳🤖 : Square's AI Playbook: A New Chapter in Business Automation Payments 🌍🤝 : Bridging AI Horizons: OpenAI and G42's Strategic Middle East Expansion UAE 📊🤖 : The David vs. Goliath of AI: Why Small Language Models Could Be the Next Big Thing LLMs The AI Paradox Meta's Chief Scientist Weighs in on the Existential Debate Picture a world where AI is as ubiquitous as smartphones, yet the debate rages on: friend or foe? Meta's Chief AI Scientist, Yann LeCun, recently stepped into the ring to share his perspective. 🔍 The Existential Question: Since the release of OpenAI's ChatGPT-4, the AI conversation has shifted towards its potential risks. While some, like Geoffrey Hinton, have left their positions to warn about AI's dangers, LeCun takes a different stance. 🏢 Big Tech and Regulation: LeCun warns that premature regulation could stifle innovation and solidify Big Tech's dominance. It's like putting training wheels on a race car; you won't get very far, very fast. This stance is ironic since LeCun comes from Meta, and you can argue that Meta is late to the AI party compared to Microsoft with its investment in Open AI. Regulation usually helps the leaders, not the laggards. Regulatory Capture: According to LeCun, the term "AI safety" is being used as a smokescreen for what he calls "regulatory capture." It's as if we're putting a leash on AI research under the guise of safety, potentially holding back progress. 🤖 AI's Future Role: LeCun envisions a future where AI mediates our interaction with the digital world. Think of it as your digital butler, making your life easier. The debate on AI's existential risk is far from settled.
While some see it as the proverbial wolf at the door, others, like LeCun, view it as a kitten that has yet to grow claws. One thing is clear: the conversation is just getting started, and it could shape the future of AI and its impact on our society. Music AI, Lyrics, and Copyright Battles 🎵 Imagine you're humming along to the Rolling Stones' "You Can't Always Get What You Want," and you realize you've forgotten the lyrics. You prompt your AI assistant to help, and voila! The lyrics are there. But what if that seemingly innocent act lands someone in a legal quagmire? 📜 The Legal Landscape: Universal Music Group and other music publishers have taken Anthropic, an AI company, to court. The bone of contention? Anthropic's AI model, Claude 2, can generate lyrics almost identical to copyrighted songs. It's not just about responding to specific song requests; even generic prompts can result in the AI spitting out copyrighted lyrics. 🔍 The Underlying Issue: It's about the intellectual property that fuels the music industry. Many platforms pay to license lyrics, but Anthropic has been accused of sidestepping this crucial step. The company is also alleged to have used copyrighted material to train its language models, raising questions about the ethical boundaries of AI training. 🤖 AI Ethics and Investment: Anthropic isn't a small player; it has significant investment backing, including $4 billion from Amazon and $300 million from Google. The company claims to take "trust and safety" seriously and even talks about "constitutional AI," a framework for rule-based AI systems. 🔮 Looking Ahead: As generative AI becomes more sophisticated, the line between innovation and infringement is getting blurry. This case could set a precedent for how intellectual property laws adapt to the age of AI. It's not just about the music industry; it's a wake-up call for anyone leveraging AI in their business operations. 🎤 The Mic Drop: This case is a cautionary tale for those navigating the evolving landscape of AI and data. As this case unfolds, it's clear that the next big hit in the AI world might be a gavel striking down. The Blueprint of Tomorrow Ai Build's Smart 3D Printing Software Imagine you're an engineer, and you've just designed a complex structure. Now, you need to bring it to life. You could go the traditional manufacturing route or leverage 3D printing. But what if the 3D printing software could think, adapt, and optimize? Enter , a London-based startup, just secured $8.5 million in Series A funding. Ai Build 📈 The Investment Landscape: Nikon has jumped in as a strategic investor in Ai Build's Series A round. IQ Capital led the round and saw participation from existing investors like Superseed and ACT Venture Partners. The additive manufacturing (AM) industry is pegged at $16 billion and is growing at over 20% per year. Ai Build aims to unlock this sector's full potential. 🎨 From Architects to Innovators: The founders of Ai Build, Daghan Cam and Michail Desyllas, started their journey as architects, solving complex geometric problems. Their experience led them to identify a niche in optimizing 3D printing processes, which are often error-prone. They developed AiSync, a machine learning-based software that perfects the toolpath for depositing melted materials. 🤝 Partnerships and Expansion: Ai Build has joined forces with industry giants like Boeing and Rolls-Royce. They collaborate with about 25 hardware manufacturers and have diversified their material range to include plastics, metals, cement, and epoxies. 🗣️ Natural Language Commands: One of Ai Build's most recent innovations is the ability to command the software using natural language. This feature is designed to lower the barrier to entry and make 3D printing accessible even to those with minimal engineering knowledge. 🎯 Takeaway: The Series A funding will be used primarily for software development and expansion into the United States. Ai Build aims to make 3D printing more efficient and redefine how we think about manufacturing itself. Square's AI Playbook A New Chapter in Payments 🤖 Picture this: you're running a bustling café, and you're swamped with orders, inventory management, and customer queries. What if AI tools could take some of that load off your shoulders? The US-based financial services company is making this a reality with its new suite of generative AI features. Square 🛠️ The Toolbox Unveiled: Square has rolled out ten generative AI tools to automate operations and speed up workflows. These tools are integrated directly into Square's existing business software. The goal? To act as an extra set of hands for businesses grappling with multifaceted demands. 🍽️ On the Menu: One of the standout features is a Menu Generator for restaurants. With a few clicks, businesses can create a full menu, saving valuable time when launching operations on Square's platform. 📸 Picture Perfect: E-commerce sellers can now elevate their websites with AI-generated backgrounds and style prompts via the latest version of the Photo Studio app. 📧 Communication Overhaul: From generating personalized email copy to sending out team announcements, Square's AI features are making communications more efficient and tailored for the business. 🌐 SEO and More: Square's AI-assisted copy generator helps enhance websites and boost SEO, from setup to refresh and from headlines to blog posts. 🤝 Personal Touch: Advanced AI responses in Square Messages allow for personalized messaging to buyers, enhancing customer engagement. 📊 Data-Driven Decisions: Square's new AI-powered starter library suggests items for businesses to adopt based on sales insights, making inventory management smarter. 🔄 Switching Made Easy: For those looking to switch booking platforms, Square Appointments now auto-imports service names, descriptions, durations, and prices during onboarding. Takeaway: Square's new AI features are a technological advancement and a strategic move to create exit barriers for its customer base. If you are a founder or a business leader in the payments domain, has your company identified generative AI as a business priority? Time to take a step toward solving your merchant’s problems by offering AI-powered tools that make their business run easily. UAE’s AI Ambitions OpenAI and G42's Strategic Middle East Expansion 🌍 , the entity behind the renowned ChatGPT, and UAE’s tech holding group G42 have recently partnered to expand AI capabilities in the Middle East region. G42 has the UAE government backing it through its Mubadala Investment arm. OpenAI 🤝 The Partnership: OpenAI and G42 intend to deploy generative AI models across various sectors, notably financial services, energy, healthcare, and public services. The collaboration aims to simplify the integration of advanced AI capabilities for organizations in the United Arab Emirates and beyond. 🔗 Strategic Synergies: G42 has committed to leveraging its substantial AI infrastructure to support OpenAI's regional operations, mainly through Microsoft Azure data centers. OpenAI's CEO, Sam Altman, emphasized that G42's industry connections would facilitate AI solutions finely tuned to the region's unique characteristics. 🌐 Global Context: This partnership comes when AI developments are gaining traction globally. For instance, Saudi Arabia has recently announced a collaboration with Chinese universities to develop an Arabic-based AI system. These developments occur against increasing scrutiny by U.S. regulators over AI semiconductor chip exports, including to the Middle East. 📊 Regulatory Landscape: The U.S. has been ambivalent about AI exports to the Middle East. New rules have expanded licensing requirements for exporting advanced chips to countries under a U.S. arms embargo, which includes several Middle Eastern nations. 🎯 Takeaway: Sam Altman suggests that this partnership will benefit the Middle East and advance generative AI globally. These types of partnerships unlock new markets and offer a nuanced approach to AI adoption, considering regional specificities. In this particular deal, Microsoft, Open AI, and the UAE government win. David vs. Goliath of AI Why Small Language Models Could Be the Next Big Thing Imagine you're a chef in a kitchen. You could have all the fancy gadgets in the world, but sometimes, a simple knife and cutting board do the job more efficiently. In AI, particularly language models, bigger doesn't always mean better. 🚀 Quick to Train: Time is of the essence in any project. Smaller language models (LLMs) are like quick recipes; they offer faster training, fine-tuning, and results. The shorter feedback loop means you can iterate and improve much faster. 💻 Runs Anywhere: Think of smaller LLMs as a Swiss Army knife. They can run in various environments, even locally, on your laptop, making them incredibly versatile. 🔧 No Special Hardware: Smaller LLMs are a breath of fresh air in a world where the latest and greatest chips are hard to come by (I wrote about this in an earlier newsletter). They rarely require specialized hardware for training or inference. ⚡ Low Latency: In a fast-paced world, speed is crucial. Smaller LLMs can generate completions faster and are well-suited for low-latency environments. 🌐 Edge Computing: Smaller LLMs are like pocket-sized travel guides; they're perfect for running at the edge due to their low latency, smaller file size, and quick startup times. 🤝 Ensemble Power: Rumor has it that GPT-4 is an ensemble of eight smaller models. This strategy has been effective for years in machine learning, proving that teamwork often trumps individual prowess. 🤔 Bonus Points: Smaller LLMs might offer better interpretability and enhanced reproducibility. Understanding a 7-billion parameter model is likely easier than deciphering a 60-billion parameter behemoth. 🎯 Takeaway: In the AI arena, it might just be that the smaller contenders are the ones to watch. These LLMs will help create a level playing field for Small Businesses and Startups who want to use the power of AI in their solutions. That is it for this edition of the newsletter. If you , you get our newsletter first, and it stays in your mailbox as a future reference. Until next time, keep learning, applying, and experimenting with AI! subscribe to our email edition Also published . here

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HUMANTIC AI

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