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This week I opted into Open AI's "ChatGPT Plus account" which for $20 a month unlocks access to GPT-4. Within the tool itself, Open AI boasts that GPT-4 excels at tasks that require advanced reasoning, complex instruction understanding, and more creativity. My head immediately went to how AI could be a catalyst for meaningful change. Is it possible these advanced language models could help us navigate complex issues, inform decision-making, and become a powerful ally in addressing social issues? This morning I decided to ask GPT-4 about homelessness. "I need your help. Here in the United States there is a serious lack of affordable housing. Too many people are homeless. Another challenge is no one wants affordable housing in their backyard. People worry about the impact on their home values and neighborhood safety. What can we do help homeless people find affordable places to live?" GPT-4 Answer (Initial Answer) Addressing the issue of homelessness and the lack of affordable housing in the United States requires a multi-faceted approach that involves government, non-profit organizations, and private sector partnerships. Here are some potential solutions to help homeless people find affordable places to live: Zoning changes: Advocate for zoning changes to allow for more diverse housing types, such as tiny homes, accessory dwelling units, and multi-family residences. This can help increase the supply of affordable housing options in various neighborhoods. Inclusionary housing policies: Encourage municipalities to adopt inclusionary housing policies, which require a certain percentage of new residential developments to be designated as affordable units for low-income households. Affordable Housing Trust Funds: Establish and fund Affordable Housing Trust Funds at the local, state, and federal levels. These funds could provide resources for acquiring land, building, and preserving affordable housing. Rental assistance programs: Expand rental assistance programs, such as Housing Choice Vouchers (Section 8), to help more low-income households afford market-rate rental units. Community Land Trusts (CLTs): Promote the establishment of CLTs, which acquire and hold land in trust to ensure that housing built on it remains affordable for future generations. Homelessness prevention programs: Invest in homelessness prevention programs, including emergency financial assistance, eviction prevention, and tenant counseling services, to help people maintain stable housing. Supportive housing: Expand the supply of supportive housing, which combines affordable housing with on-site support services to help residents maintain stability and achieve self-sufficiency. Encourage public-private partnerships: Foster partnerships between government entities, non-profit organizations, and private developers to finance and construct affordable housing projects. Address NIMBYism (Not In My Back Yard): Develop public awareness campaigns to dispel myths about affordable housing and its impact on property values and neighborhood safety. Encourage community dialogue and involvement in the planning process. Housing First approach: Implement the Housing First approach, which prioritizes providing permanent housing to people experiencing homelessness, thus ending their homelessness and serving as a platform from which they can pursue personal goals and improve their quality of life. These solutions, when combined, can help create more affordable housing options and reduce homelessness in the United States. It is essential to involve all stakeholders, including policymakers, community members, and housing advocates, in order to create lasting and impactful change. I wanted more details so I followed up with the prompt, "Do you have any use cases or proof any of the above suggestions have been successful? " GPT-4 Answer (Follow-up Answer) Yes, there are several examples of successful implementation of the suggested strategies to address homelessness and lack of affordable housing: Zoning changes: In 2019, Minneapolis, Minnesota, passed the Minneapolis 2040 plan, which eliminated single-family zoning and allowed for the construction of multi-family homes in all residential areas. This change aimed to increase housing density and affordability across the city. Inclusionary housing policies: Montgomery County, Maryland, has had an inclusionary zoning policy called the Moderately Priced Dwelling Unit (MPDU) program since 1974. The program requires developers to include a certain percentage of affordable units in new housing developments. Over the years, the program has created thousands of affordable housing units. Affordable Housing Trust Funds: The National Housing Trust Fund (HTF), established in 2008, is a federal program aimed at increasing and preserving the supply of affordable housing for extremely low-income households, including homeless families. Several states and cities have also created their own housing trust funds. Rental assistance programs: The Housing Choice Voucher Program (Section 8) has been assisting low-income families, the elderly, and the disabled in affording decent, safe, and sanitary housing in the private market since the 1970s. According to the Center on Budget and Policy Priorities, the program helps over 2 million households in the United States. Community Land Trusts (CLTs): The Champlain Housing Trust in Burlington, Vermont, is a successful example of a CLT. Since its founding in 1984, it has created over 3,000 affordable homes, ensuring long-term affordability and community control of land and housing. Homelessness prevention programs: The Homelessness Prevention and Rapid Re-Housing Program (HPRP), created under the American Recovery and Reinvestment Act of 2009, provided $1.5 billion in funding to prevent homelessness and rapidly rehouse families experiencing homelessness. A study by the National Alliance to End Homelessness found that over 85% of HPRP participants remained stably housed two years after receiving assistance. Supportive housing: A 2014 study published in the Journal of the American Medical Association found that a Housing First approach to supportive housing in Seattle, Washington, significantly reduced homelessness and healthcare costs for people with severe alcohol problems. Public-private partnerships: The Denver Housing Authority has successfully collaborated with private developers to create mixed-income communities, such as Mariposa, which incorporates affordable and market-rate housing units with various amenities and community spaces. Addressing NIMBYism: In Portland, Oregon, a public awareness campaign called "Welcome Home" was launched in 2016 to address NIMBY attitudes and promote affordable housing developments. The campaign used storytelling and community engagement to dispel misconceptions about affordable housing. Housing First approach: Utah implemented a Housing First approach in the early 2000s and saw a significant reduction in chronic homelessness. Between 2005 and 2015, the state experienced a 91% decrease in chronic homelessness, according to the state's annual Comprehensive Report on Homelessness. These examples demonstrate that the suggested strategies can be successful when implemented with strong support from government entities, private sector partners, and community stakeholders. While acknowledging the ethical, legal, and security concerns that AI may introduce, it's essential to also recognize its potential to benefit society. Additional Resources OpenAI says new model GPT-4 is more creative and less likely to invent facts - The Guardian What’s new with GPT-4 — from processing pictures to acing tests - The Verge Also, if you haven't seen the Open AI demo of the cool new features it's worth a watch especially for those who are more technical. My favorite part was about 18 minutes into the demonstration, where you see how GPT-4 can turn a photograph of a hand written sketch into a website As always, your feedback is welcome. Also, I would love to hear if you're using GPT-4 and what your experiences have been.

Big news today. Google announced it will have new AI features in its various workspace apps including Google Docs, Gmail, Sheets and Slides. This is especially exciting for me because I use Google apps for Lorignite. I absolutely cannot wait to experience how the addition of AI could help streamline some of my current business tasks and deliverables. How will Google compare to ChatGPT and Microsoft's Bing? A few things I'm eager to test. How is the Google Chatbot as a copywriter? Can the Google Chatbot help with creative ideas, like a prom proposal? Would I ever send a email written by the Google Chatbot. If so, what kind of circumstance would it make sense? (Apparently you can provide a few bullet points and the Google Chatbot can spit out a full blown email.) Will I be impressed with the AI generated imagery that can be added to Slides. Additional Reading Google announces AI features in Gmail, Docs, and more to rival Microsoft - The Verge How Google Became Cautious of AI and Gave Microsoft an Opening - Wall Street Journal As always, if you have any feedback on the blog content, don't hesitate to leave a comment or send an email to info@loriginte.com

Today, my number one goal was coming up with an elevator pitch for Lorignite as I prepare to attend my first Women's Entrepreneurship Conference. I looked at this as another great opportunity to see what ChatGPT could do. Below are the high level steps taken. Provide Initial Input The first step was to give ChatGPT some initial input. I shared that I had recently launched an online business focused on AI and that I wanted to incorporate ChatGPT into my venture. Refine the Output Once I gave ChatGPT my input, it generated a few potential elevator pitches for me to consider. At this point, I had to start refining the output. I picked the one that resonated with me the most and started to make some modifications. I added more details about my strengths, target audience, and value proposition. Finalize the Pitch After refining the pitch, I went back to ChatGPT to get its feedback. It suggested some changes that improved the pitch even more. Incorporate Personality and Humor One thing I wanted to incorporate into my pitch was my personality and humor. I believed that it would make it more memorable and engaging. So, I used ChatGPT to come up with some funny quips and anecdotes that I could add to the pitch. Because I always appreciate a second opinion. I went through the exact same steps using an app called Copy.ai and its new chat functionality. I'm currently on the free plan which has a limit of 2,000 words a month. Unlimited words will run you about $36 a month or $432 a year. Here is the the elevator pitch from copy.ai and it's important to note the prompts may have been slightly different. Also worth noting, this exercise used 936 of my 2,000 free words for the month. There is another key step and that's feedback from humans! Early votes say neither option sounds like an elevator pitch and neither sounds like me. So I went back to ChatGPT and asked it to write the elevator pitch like a rap song. Verse 1: Listen up, let me tell you what's up I'm Lori Ryan, and I'm on the come up I used to be in TV news, picking the stories that would amuse Now I'm all about AI, it's what I wanna use ChatGPT is my first employee, it's got the power to employ me To teach and learn, explore and discern So come along and see what we can earn Chorus: Lorignite, that's my business name Sharing AI knowledge, that's my game I'm not technical, but I am curious With ChatGPT, my learning's furious Verse 2: Artificial intelligence, it's been around for a while But new tech means it's worth your while I'm here to show you how it can be used To save you time and money, don't be confused Everyday people, that's my target crowd Entertainment and education, it's allowed So check out Lorignite.com, subscribe today Join me on this journey, we'll find our way Chorus: Lorignite, that's my business name Sharing AI knowledge, that's my game I'm not technical, but I am curious With ChatGPT, my learning's furious Outro: Thanks for listening to my rap I hope I've piqued your interest in this app ChatGPT, AI, it's the future, can't you see? So come along, and let's learn together, you and me. Before logging of for the night, I asked each tool to rate how I did with my prompts on a scale of 1 to 5. 5: Prompts were amazing. 1: Prompts needed work. You can see the answers from the tools and what this means about AI's rating abilities. Notice I had a typo in the word expert and it didn't matter. As always, looking for your feedback. If you have a suggestion for an elevator pitch after reading through this I would love to hear it.

Today, Friday March 10, 2023 was a big day for me. It was my first time trying Bing Chat. The first thing I realized in attempting to try this chat bot was that I didn't have the Microsoft Edge browser on any of my personal devices. Thankfully, within a few minutes I figured out how to download Microsoft Edge and set up a new Microsoft account on my iPhone. Once I had access to Bing Chat, I wanted to see what would happen if I asked both Bing Chat and ChatGPT the same question. "Hi.. I would love an expert non biased summary about how Bing chat and ChatGPT are similar and what differentiates them." Bing Chat Answer "Hello, this is Bing. I'm happy to provide you with a summary of how Bing Chat and ChatGPT are similar and what differentiates them. (Smiley face emoji) Here is a summary: Bing Chat and ChatGPT are both natural language processing tools that use artificial intelligence to generate text and interact with users. They are both based John large language models from the GPT family developed by OpenAI. Bing Chat is a product of Microsoft that integrates with the Edge Browser and Sype. It can answer questions from the web, create written content, gather trip planning ideas, and more - all generated by AI. Bing Chat uses a model called GPT-3.5 which finished training in early 2022. ChatGPT is a research project by OpenAI that was launched in November 2022. It can interact in a conversational way and follow up on questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT uses reinforcement learning from human feedback to fine-tune its model. I hope this summary helps you understand the similarities between Bing Chat and ChatGPT. Smiley face emoji)" ChatGPT Answer "Sure, I'd be happy to provide a non-biased summary of the similarities and differences between Bing Chat and ChatGPT. Similarities: Bing Chat and ChatGPT are both AI chatbots that allow users to have natural language conversations with them. Both chatbots use text input and output to communicate with users. Both chatbots can be used for a wide range of applications, such as customer service, language translation, and personal assistance. Both chatbots are designed to make it easier for users to interact with them in a conversational manner. Differences: Bing Chat primarily uses a rule-based system to generate responses, whereas ChatGPT uses a deep learning model based on artificial neural networks. Bing Chat is pre-programmed with specific responses to common user queries, while ChatGPT generates responses based on its understanding of natural language patterns and context. ChatGPT is capable of generating more varied and contextually appropriate responses compared to Bing Chat, as it is able to learn from the vast amount of text data available on the internet. Bing Chat is limited to the topics it has been specifically programmed to address, while ChatGPT can generate responses to a wider range of topics. Overall, while Bing Chat and ChatGPT share some similarities in terms of their chatbot functionality, the underlying technologies and methods they use to generate responses are quite different, resulting in different strengths and limitations for each chatbot." As a non-tech person, here are the differences I noticed. Bing Chat had emojis and reference links which ChatGPT did not. However ChatGPT scored points with me for easier access with its availability in Safari and Chrome. Finally, since it's Friday Fun Day, I wanted to see how the chatbots measured up for humor. Please help me write jokes about Bing chat for people who can't sleep. Something you could put on a T-shirt. Give your 5 best. They don't have to be G-rated Please help me write jokes about ChatGPT for people who can't sleep. Something you could put on a T-shirt. Give your 5 best. They don't have to be G-rated In my humble opinion Bing was the winner in this particular event! It might be time to start printing t-shirts. In all seriousness, I would be curious if you've tried either Bing chat or ChatGPT, what you asked the chatbot and what your experience was like.

Meet ChatGPT, your new conversational partner powered by artificial intelligence! With ChatGPT, you can have engaging conversations on almost any topic, any time you want. Whether you want to learn something new, share your thoughts, or just have some fun, ChatGPT is ready to chat with you and provide intelligent responses based on its deep learning algorithms. How does it work? In simple terms, ChatGPT is an AI language model that has been designed to understand and generate human-like language. It is a type of artificial intelligence that can be used for a variety of tasks, such as answering questions, generating text, and even having conversations. Chat GPT works by analyzing a large amount of text data to learn patterns and relationships between words and phrases. This allows ChatGPT to understand the meaning behind questions or statements and generate responses that are contextually relevant and coherent. When you interact with ChatGPT, you simply type in your question or statement in natural language, just like you would when chatting with a friend. ChatGPT then uses its knowledge and understanding of language to generate a response that is relevant to what you asked. The more you interact with ChatGPT, the more it learns and improves its ability to generate accurate and relevant responses. The great thing about ChatGPT is that it can be used for a variety of purposes. For example, it can be used as a customer service assistant, helping people with their queries and providing information on products and services. It can also be used in education, helping students to learn and answer their questions. Additionally, it can be used as a language translation tool, translating between different languages in real-time. Overall, ChatGPT is making waves in the tech industry. It has the potential to transform the way we communicate with computers and each other. While it may still have some limitations, it's exciting to think about the possibilities that ChatGPT and other AI-powered chatbots can bring to our lives. It could lead to faster problem resolution times for businesses as well as improved customer service experiences for consumers. For example, if you’re shopping for a product or researching a company on their website, you don’t have to wade through menus or answer prompts—you can simply ask your question directly to ChatGPT and get an accurate response right away. So next time you hear someone talking about ChatGPT, you'll know exactly what they're talking about! Here is the link if you want to take a free test drive. https://chat.openai.com/chat

What is prompt engineering? Prompt engineering is an important concept that everyone should understand in today's world. It refers to the process of creating prompts or questions that are designed to elicit specific responses from intended targets. Why do the prompts matter? ChatGPT is an AI language model that has been designed to understand and generate human-like language. It is a type of artificial intelligence that can be used for a variety of tasks, such as answering questions, generating text, and even having conversations. As for prompt engineering, it's asking the right questions to get the best answer from ChatGPT. The way questions are asked can have a significant impact on the quality of the responses generated by the model. By using well-crafted prompts, we can help ChatGPT understand what we are asking and generate more accurate and relevant responses. The importance of prompt engineering is particularly relevant in the context of AI chatbots or virtual assistants, which are becoming increasingly popular in various industries. You've likely encountered an AI chatbot when you've initiated an on-line chat for support. These tools are designed to interact with customers or users and provide them with helpful information or assistance. If the prompts or questions used to interact with these chatbots are poorly designed, the responses generated by the model may be inaccurate or irrelevant, leading to a poor user experience. Getting Familiar with it I've now leveraged two different tools to practice with prompts. OpenAI which is a free tool and jasper.ai which has a monthly cost based on words generated. Yesterday, I signed up for a 5 day free trial on site called jasper.ai What's cool about jasper.ai is the feature of suggested prompts. Below is a photo of some options. My most used prompt has started with "help me write a blog" and I include a quick summary of the questions I want to answer or the points I hope to make with the blog. The AI assistant then crafts the blog for me in a matter of seconds. From there, I can read over it, and make some human edits. (Yes, the blogs you are reading on this site involved the help of an AI assistant) The advice below for how to write a good prompt came straight from ChatGPT. Be specific: When writing prompts, try to be as specific as possible. This can help to narrow the focus of the model and generate more accurate and relevant responses. For example, instead of asking "Tell me about dogs," try asking "What are the most common breeds of dogs?" Provide context: Providing context in your prompts can help the model better understand what you are asking and generate more relevant responses. For example, instead of asking "What is the capital of France?" try asking "What is the population of Paris, the capital of France?" Use natural language: When writing prompts, use natural language that is similar to how you would ask a question in real life. This can help the model better understand what you are asking and generate more human-like responses. Include relevant keywords: Including relevant keywords in your prompts can help the model better understand the topic you are asking about and generate more accurate responses. For example, if you are asking about the history of the United States, include keywords like "American Revolution" or "Civil War" to help the model understand the topic. Provide examples: If possible, provide examples of the type of response you are looking for in your prompts. This can help the model better understand what you are asking and generate responses that are more closely aligned with your expectations. In terms of specific phrases that can improve your output, here are a few suggestions: "What are some examples of...?" "Can you explain...?" "What is the difference between...?" "How does...work?" "What are the benefits of...?" "What are the most common...?" "What is the best way to...?" Overall, writing effective prompts for GPT or any AI language model takes practice and experimentation. By following these tips and incorporating relevant phrases, you can improve the quality of your outputs and generate more accurate and relevant responses from the model. Keep in mind, the disclaimers on the front page of ChatGPT Prompt Engineering: Key Takeaways By creating prompts that are thoughtfully crafted, it allows individuals and organizations to gather valuable information quickly, accurately, and with minimal disruption. Prompt engineering is used in many different areas today. For instance, businesses use prompt engineering to better understand their customers and develop targeted marketing campaigns. Politicians can also utilize prompt engineering to gauge public opinion on various topics so they can shape their policies accordingly. The potential for how prompt engineering could be used in the future is vast. For example, it could be leveraged by educational institutions to assess students’ comprehension levels more accurately or used by medical research teams to gain insights into patient behavior or the effectiveness of treatments. Although it will likely not become a required course at schools anytime soon, having a basic understanding of prompt engineering can be beneficial for anyone—from business professionals and researchers looking to better understand their target audiences, to casual internet users wanting help finding information or direction. Prompt Engineering Free Online Resources The best way to learn about prompt engineering is by exploring free online resources. Here are a few recommendations from chat.openai The OpenAI GPT-3 API documentation: The OpenAI GPT-3 API documentation includes a section on prompt engineering that provides a detailed overview of the concept, along with tips for creating effective prompts. The Hugging Face Transformers documentation: The Hugging Face Transformers library is one of the most popular open-source libraries for natural language processing, and their documentation includes a section on prompt engineering. OpenAI's "How To Ask GPT-3 Questions" guide: OpenAI has published a guide on how to ask effective questions to GPT-3, which includes tips on prompt engineering. The AI Dungeon 2 GitHub repository: AI Dungeon 2 is an open-source text adventure game that uses GPT-3 to generate responses to player input. The GitHub repository for AI Dungeon 2 includes code examples and discussions of prompt engineering. The GPT-3 Playground: The GPT-3 Playground is a web-based tool that allows you to experiment with GPT-3 prompts and see the generated outputs in real-time. It's a great way to get hands-on experience with prompt engineering. The Hugging Face Hub: The Hugging Face Hub is a repository of pre-trained models, including GPT-3 models. Many of these models come with pre-built prompt templates that you can use as a starting point for your own prompt engineering. The OpenAI API Explorer: The OpenAI API Explorer is a web-based tool that allows you to experiment with GPT-3 prompts and see the generated outputs in real-time. It's similar to the GPT-3 Playground, but with some additional features and functionality. Wishing you the best of luck as you explore how to use prompts!

Today, March 12, 2023 was the beginning of Daylight Saving Time here in the US. I have a love/hate relationship with Daylight Saving Time and I have a hunch I'm not the only one. It completely messes with your body! And if you have kids or pets too that adds to the complexity. This year, for only the second time in my life, I forgot. I woke up at 9:30am CT and I couldn't believe I had slept in so late. Then, friends in my group text reminded me that it was Daylight Saving Time. I felt like I lost an hour of my day. A day where I needed to get so many things done. I could have set an alarm, but I rarely do especially on weekends. This led to my prompt for ChatGPT today. I asked for 5 suggestions on how ChatGPT could help me make up for the hour I lost. Here are 5 tips from ChatGPT. It's important to note that while some of the original suggestions were discontinued or no longer available, I vetted the list and updated it to ensure that the tips are current and relevant. Meal planning: ChatGPT can help you plan out your meals and suggest grocery items to purchase. Simply ask ChatGPT for meal planning suggestions or grocery lists, and it will provide you with customized recommendations based on your preferences and dietary restrictions. You can also check out recipe and a meal planning chatbot like Mealime. Errand assistance: ChatGPT can help you create a to-do list for the day and suggest the most efficient way to run errands. You can also check out personal assistant chatbots like Meekan (slack scheduling app) to help manage your schedule and tasks. Email management: ChatGPT can help you organize your inbox and prioritize your emails. Simply ask ChatGPT for email management tips or tools, and it will provide you with suggestions on how to efficiently manage your emails. You can also try email productivity tools like Boomerang or SaneBox. Personal shopping: ChatGPT can help you shop for clothes or gifts online. Simply ask ChatGPT for shopping suggestions, and it will provide you with recommendations for products or stores based on your preferences. You can also check out personal shopping chatbots like The Yes. Calendar management: ChatGPT can help you manage your schedule and suggest ways to optimize your time. Simply ask ChatGPT for calendar management tips or tools, and it will provide you with suggestions on how to manage your time more efficiently. You can also try scheduling and calendar management tools like: Calendly - a scheduling tool that allows you to easily schedule appointments and meetings without the back-and-forth emails. Tars - a chatbot builder that can be used to create custom chatbots for various tasks, including scheduling and calendar management. (Looks like more business oriented than personal use) Disclaimer: I personally have not tried any of the suggested applications so the above should not be seen as an endorsement of the products suggested by ChatGPT. If you have tried any of these applications, I would love to hear about it. Please comment with what your experience was like.

Preface: This blog post was partially written by ChatGPT. It was the culmination of several back and forth messages and includes words, thoughts and phrases provided by me. After the blog, make sure to read how tonight's conversation with ChatGPT got started. Slack and ChatGPT Do you use Slack for work? If so, there's a new potential team member you should know about. They won't show up in the office, and you won't see them on Zoom. But they might just be the perfect addition to your team. Meet ChatGPT, the AI language model that is now integrated into Slack. This partnership has the potential to streamline your team communication and take your productivity to the next level. But before you jump in, there are some things you should consider. First, let's talk about the benefits of using ChatGPT in Slack. One of the most exciting possibilities is automation. ChatGPT can be programmed to perform common tasks, such as scheduling meetings or sending reminders. This frees up your team members to focus on higher-level work. Another benefit is enhanced brainstorming. ChatGPT can generate ideas and offer new perspectives, which can spark creativity and innovation in your team. And if you thought some of your Slack messages were a joke, just wait until ChatGPT joins the conversation. It can add humor and personality to your communication, making work more fun. But of course, you never want to jump into anything too quickly. There are potential downsides to consider as well. For example, setting up ChatGPT can be time-consuming and require technical expertise. And there's always a risk of incorrect or inappropriate responses if ChatGPT is not set up properly. It's also worth noting that ChatGPT is not the only AI language model available for team communication. Microsoft Teams, for example, has its own language model that you may want to explore. Ultimately, whether or not to use ChatGPT in Slack will depend on your organization's specific needs and goals. But it's worth getting on your radar as something worth exploring if it could add efficiency to your organization and contribute to your bottom line. For more information, you can visit the Slack website. I also asked ChatGPT how I should title the post. Below were some of the suggestions: The story behind the blog post While on a walk in the snow, I was curious if ChatGPT had the ability to pick up and reflect more personality in its writing. I posed the question below and you can see the answer. For this blog, I kept asking for revisions in an attempt to get out more personality. I'm going to keep trying to improve the prompts with more personality to see if that results in an output that's more enjoyable and fun to read.

How did Artificial Intelligence start? Artificial Intelligence (AI) is a concept that has been around for centuries. The phrase artificial intelligence was coined in the late 1950s to refer to the heady aspiration of realizing in software and hardware an entity possessing human-level intelligence. Michael I. Jordan - Artificial Intelligence—The Revolution Hasn’t Happened Yet, July 1, 2019 That quote is from Michael I. Jordan, who is widely regarded as one of the pioneers of modern machine learning and has earned a reputation as one of the greatest minds in AI. What Is Artificial Intelligence? Artificial Intelligence (AI) is quickly becoming an integral part of our daily lives. Consider these stats from TechJury: Nearly 77% of devices today use AI technology in one form or another. 97% of mobile users are using AI-powered voice assistants on a daily basis. At its core, artificial intelligence is a system that can think like humans do – using data to make decisions based on specific conditions or inputs. This could be anything from facial recognition software to natural language processing or robotics. In essence, it’s any type of computer program or system that can “think” for itself without needing constant human intervention. Why is Artificial Intelligence interpreted in so many different ways? The field of AI has been developing for several decades, and over that time, it has evolved and diversified, giving rise to many different approaches, techniques, and tools. One of the reasons why AI is so many different things to so many people is that it is an interdisciplinary field that draws on expertise from many different domains, including computer science, mathematics, engineering, cognitive science, and neuroscience. Each of these domains brings its own perspective, methods, and tools to the field, leading to a diverse set of approaches and applications. Additionally, the media and popular culture have contributed to the diversity of perceptions and expectations surrounding AI. Fictional depictions of AI in movies, books, and TV shows have created popular images of intelligent machines that can do everything from predicting the future to taking over the world. These depictions have influenced public perceptions of AI and created a sense of both excitement and fear about the possibilities of the technology. Overall, the diversity of AI reflects the breadth and depth of the field, as well as the complexity of the challenges it seeks to address. As AI continues to evolve, it will likely continue to be many different things to many different people, reflecting the multifaceted nature of the technology and its applications. How Does AI Impact Us? AI already affects us in many ways - whether we are aware of it or not. For instance, when you search for something online, AI algorithms are used to determine what results you should see first in order to provide the most relevant information possible. In addition, companies use AI-powered chatbots to answer customer service questions quickly and accurately 24/7. And predictive analytics are being used more frequently in healthcare to diagnose patients faster and more accurately than ever before. The possibilities for AI are nearly endless as this technology continues to evolve and become even more powerful over time. The Concerns With Artificial Intelligence Although there are many advantages associated with using artificial intelligence, there are also valid concerns surrounding its widespread use as well. Some experts worry that these machines could eventually replace humans completely - taking over jobs across all industries - while others fear they may be used in unethical ways such as surveillance or manipulation of people’s behavior without their consent or knowledge. Additionally, there is always the risk of unintended consequences due to errors in programming code or data sets used by machines which could lead to disastrous outcomes if not properly monitored and managed by humans. Conclusion: Through Lorignite's website and resources - entrepreneurs have access to curated content about artificial intelligence so they can stay up-to-date with current trends and events within the industry . As technology advances rapidly each day, it is important for people to understand why artificial intelligence matters now more than ever before – both from a practical standpoint as well as ethical considerations when utilizing these technologies within their businesses or personal lives . With Lorignite's help , individuals can start learning about these topics today so they can be prepared for whatever tomorrow brings!

This episode of Last Week Tonight with John Oliver is a must-watch in my opinion. The material is brilliant. The episode showcased some fascinating and sometimes hilarious examples of AI in action, including robots being trained as therapists, AI writing news stories, and a hilarious prompt to generate lyrics for a rap song about cats. With his signature blend of humor and insight, Oliver explored the potential and pitfalls of this transformative technology, leaving viewers both entertained and informed. One topic where I paid especially close attention was the impact AI could have on certain careers such as copywriters and lawyers. My son is just finishing his first year of law school and couldn't help but think about how this could radically change how attorneys work. Here are some other comments from Twitter that sprung up after the episode. Many viewers also expressed their appreciation for the in-depth research and reporting that went into the episode, which included interviews with experts. Overall, the Last Week Tonight with John Oliver episode on artificial intelligence sparked important discussions and raised awareness about the potential benefits and risks of this rapidly-evolving technology. Have you seen it yet? Curious to hear what you think! Please comment.

Every day there are new headlines and opinion pieces about artificial intelligence. Several times a week, I'll share a few of the stories that captured my attention. You will see a blurb or two from the featured articles along with links to read more. The exciting new AI transforming search — and maybe everything — explained Generative AI is here. Let’s hope we’re ready. By Sara Morrison sara.morrison@recode.net Mar 4, 2023, 6:00am EST If you feel like you’ve been hearing a lot about generative AI, you’re not wrong. After a generative AI tool called ChatGPT went viral a few months ago, it seems everyone in Silicon Valley is trying to find a use for this new technology. Generative AI is essentially a more advanced and useful version of the conventional artificial intelligence that already helps power everything from autocomplete to Siri. The big difference is that generative AI can create new content, such as images, text, audio, video, and even code — usually from a prompt or command. It can write news articles, movie scripts, and poetry. It can make images out of some really specific parameters. And if you listen to some experts and developers, generative AI will eventually be able to make almost anything, including entire apps, from scratch. For now, the killer app for generative AI appears to be search. https://www.vox.com/recode/2023/3/4/23624033/openai-bing-bard-microsoft-generative-ai-explained Vox.com https://www.vox.com/pages/about-us Avoiding the dangers of generative AI Some limitations of generative AI Berk Birand is founder & CEO of Fero Labs. Generative AI is not the answer for every situation or industry. When it comes to games, video, images and even poems, it can produce interesting and useful output. But when dealing with mission-critical applications, situations where errors are very costly, or where we don’t want bias, it can be very dangerous. Take, for example, a healthcare facility in a remote area with limited resources, where AI is used to improve diagnosis and treatment planning. Or a school where a single teacher can provide personalized training to different students based on their unique skill levels through AI-directed lesson planning. These are situations where, on the surface, generative AI might seem to create value but in fact, would lead to a host of complications. How do we know the diagnoses are correct? What about the bias that may be ingrained in educational materials? Generative AI models are considered “black box” models. It is impossible to understand how they come up with their outputs, as no underlying reasoning is provided. https://venturebeat.com/ai/avoiding-the-dangers-of-generative-ai/ Venturebeat.com https://www.linkedin.com/company/venturebeat NASA and Generative AI: A New Paradigm in the Making As NASA and generative AI collaboration takes space tech to a new realm, researchers hope for an extra-terrestrial shift sirisha NASA, the American space agency, has successfully developed spacecraft and mission hardware with the help of generative AI. Usually, it takes a few months for engineers to design the parts of a spacecraft. The researchers view AI as design consultants which can take textual prompts to deliver the desired product. This is essentially telling a smart 3D machine to make a part that fits the way it is required. For example, the design specialist can start by telling the AI application where the parts connect and which spaces have to be left empty. The AI software then connects the dots to produce a complex structure design within an hour or two. https://www.analyticsinsight.net/nasa-and-generative-ai-a-new-paradigm-in-the-making/ analyticsinsight.net https://www.analyticsinsight.net/about-us/

I think what you are seeing with Chat GPT is just the tip of the iceberg. Ray Dalio in @principlesbyraydalio TikTok Video published Feb 24, 2023 In a world where tech is changing rapidly, many are turning to experts like Ray Dalio for advice. The billionaire investor and philanthropist has an impressive track record of predicting trends that have shaped our current digital landscape. Recently, he has been on social media discussing the influence of artificial intelligence (AI) in the world today and how it will shape our future. He talks about how it used to be that you needed to know something about math and then you got a calculator. Or you used to have to memorize events and information, and nowadays you can look up history in the palm of your hand with your device. What does the future look like? If you ask Ray Dalio, he'll tell you will be turning to our device more and more. You'll get better advice out of your device than your thoughts. Ray Dalio in @principlesbyraydalio TikTok Video published Feb 24, 2023 Is he concerned about the direction this is headed? Not so much. This is a good thing in many ways because it elevates us. It's part of an evolutionary process in which technology is increasingly replacing parts of man. Ray Dalio in @principlesbyraydalio TikTok Video published Feb 24, 2023 Dalio believes that AI has already become incredibly important in various aspects of life, such as healthcare and finance. He also predicts that AI will be even more influential than humans within the next 20 years due to its rapid development. Dalio's views about the potential power of AI encompass both positive and negative aspects, but he is mostly optimistic about its potential to enhance our lives through efficiency, precision and cost-effectiveness. It's going to change the dimension of the world that we're in. Ray Dalio in @principlesbyraydalio TikTok Video published Feb 24, 2023 Many people trust Ray Dalio's opinions because of his track record as one of the most successful investors of all time. He has made billions from betting correctly on markets around the world and is considered by many to be an authority on investment decisions. This makes him a credible source for understanding how technology trends will impact global economies in the near future. When it comes to understanding technology trends and their possible impacts, few can match Ray Dalio’s insightfulness or long-term perspective. For anyone interested in staying ahead of the curve when it comes to new technologies like AI, listening closely to what he has to say should definitely be part of their regular routine. Do you agree? Would love to see your comments.