Podcasts about generative pre

Les intelligences artificielles d'aujourd'hui portent des noms soigneusement choisis, souvent riches de sens et d'histoire. Voici l'origine de quelques-unes des plus célèbres.Grok : une référence à la science-fictionDéveloppé par xAI, la société d'Elon Musk, Grok est un terme issu du roman Stranger in a Strange Land (1961) de Robert A. Heinlein. Dans ce livre de science-fiction, « grok » signifie comprendre quelque chose de manière profonde et intuitive, au-delà des mots. Le choix de ce nom reflète donc l'ambition de créer une IA capable de saisir le sens profond des interactions humaines.Claude : un hommage à Claude ShannonAnthropic, l'entreprise derrière Claude, a choisi ce nom en hommage à Claude Shannon, mathématicien et ingénieur américain souvent considéré comme le père de la théorie de l'information. Son travail a jeté les bases du traitement numérique des données, élément clé du fonctionnement des IA modernes. En nommant son IA ainsi, Anthropic met en avant son approche centrée sur la rigueur scientifique et la compréhension du langage.Mistral : entre nature et puissance technologiqueLa startup française Mistral AI a choisi un nom qui évoque à la fois un vent puissant du sud de la France et un certain souffle d'innovation dans le domaine de l'intelligence artificielle. Le choix de ce nom court et percutant renforce l'image d'une IA rapide, efficace et ancrée dans une culture européenne de la technologie.Gemini : une dualité intelligence humaine-machineDéveloppé par Google DeepMind, Gemini fait référence au programme spatial Gemini de la NASA dans les années 1960, qui a préparé les missions Apollo. Mais le nom évoque aussi les « Gémeaux », symbole de dualité, reflétant l'objectif de Google de créer une IA hybride, combinant les atouts du texte et des images pour un raisonnement plus avancé.ChatGPT : un nom descriptif et techniqueLe nom ChatGPT, développé par OpenAI, est plus technique. « Chat » indique sa fonction principale (dialoguer avec l'utilisateur), tandis que GPT signifie Generative Pre-trained Transformer, une référence à l'architecture d'apprentissage profond utilisée pour générer du texte.Ces choix de noms illustrent les ambitions et les inspirations des entreprises derrière ces IA, oscillant entre références scientifiques, culturelles et symboliques. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Exploring AI Video Production: Insights with Expert Erich Archer Join Erich Archer as he explores the current capabilities and limitations of AI in video production, offering practical tips for creators. In this insightful episode of Talking with the Experts, host Rose Davidson engages in a compelling conversation with Erich Archer, an Emmy Award-winning television producer and AI video specialist. With a career spanning over 20 years, Erich has been at the forefront of integrating artificial intelligence into video production, revolutionizing the way stories are told in the digital age. Erich delves into the current state of AI in video production, sharing his hands-on experience with various image and video generators over the past year. He provides an in-depth analysis of the capabilities and limitations of these tools, offering listeners a realistic perspective on what AI can and cannot achieve in media creation today. A significant portion of the discussion centres around the emergence of generative AI models, such as Adobe's Firefly Video Model, which enables users to create and edit videos using text prompts and photo-to-video conversions. Erich highlights how these advancements are democratizing content creation, allowing both professionals and enthusiasts to produce high-quality videos with greater efficiency. However, he also addresses the challenges and ethical considerations, including concerns about intellectual property and the authenticity of AI-generated content. Erich emphasizes the transformative potential of custom GPTs (Generative Pre-trained Transformers) in enhancing creative workflows. By tailoring these models to specific project needs, creators can supercharge their productivity, generating content that aligns closely with their vision while maintaining a high standard of quality. ⚙️ THREE KEYPOINTS FROM THE INTERVIEW: 1. Current Capabilities and Limitations of AI in Video Production: Erich provides a nuanced overview of what current AI tools can achieve in video creation, as well as their limitations, helping creators set realistic expectations. 2. Leveraging Custom GPTs to Enhance Workflows: He discusses the use of custom Generative Pre-trained Transformers to streamline and personalize content creation processes, making them more efficient and aligned with specific project goals. 3. Practical Tips for Integrating AI into Video Production: Erich shares actionable advice on selecting appropriate AI tools, understanding their outputs, and ethically incorporating AI into creative workflows to enhance productivity and innovation. ✨ CONNECT WITH ERICH: LinkedIn: https://www.linkedin.com/in/ericharcher/ Website: www.cgacreative.com

Did you know you can create your own GPT bot that's trained on your personal values, leadership lessons and more? Dr Gary Crotaz is host of The Unlock Moment podcast and a leadership speaker and coach. He joins me on the show to talk it through.You will:Discover how AI tools like ChatGPT can dramatically increase productivity and reshape leadership roles.Understand the intersection of AI and leadership from Gary's perspective as a seasoned executive coach.Learn about the "Unlock Moment"—a concept fundamental to transformational leadership and personal breakthrough.Hear our debate on the potential and ethics of AI in the workplace, and how leaders can harness new technologies while maintaining a human touch.Will it be a revolution in leadership? Listen to find out, and try Gary's GPT (that's a Generative Pre-trained Transformer - a type of large language model) here: https://chatgpt.com/g/g-6772e5e140948191b7767f29035328d4-executive-coach

In this episode of The Cognitive Revolution, Nathan hosts Will Hardman, founder of AI advisory firm Veritai, for a comprehensive technical survey of vision language models (VLMs). We explore the evolution of VLMs from early vision transformers to state-of-the-art architectures like InternVL and Llama3V, examining key innovations and architectural decisions. Join us for an in-depth discussion covering multimodality in AI systems, evaluation frameworks, and practical applications with one of the field's leading experts. Here's to the link to one of the most comprehensive reference documents for VLMs prepared by Will Hardman: https://dust-mailbox-c73.notion.site/Vision-Language-Models-11b675d75dd480af994cc474a754bb26 Help shape our show by taking our quick listener survey at https://bit.ly/TurpentinePulse SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at https://oracle.com/cognitive 80,000 Hours: 80,000 Hours is dedicated to helping you find a fulfilling career that makes a difference. With nearly a decade of research, they offer in-depth material on AI risks, AI policy, and AI safety research. Explore their articles, career reviews, and a podcast featuring experts like Anthropic CEO Dario Amodei. Everything is free, including their Career Guide. Visit https://80000hours.org/cognitiverevolution to start making a meaningful impact today. CHAPTERS: (00:00:00) Teaser (00:00:55) About the Episode (00:05:45) Introduction (00:09:16) VLM Use Cases (00:13:47) Vision Transformers (Part 1) (00:17:48) Sponsors: Oracle Cloud Infrastructure (OCI) (00:19:00) Vision Transformers (Part 2) (00:24:58) OpenAI's CLIP Model (00:33:44) DeepMind's Flamingo (Part 1) (00:33:44) Sponsors: 80,000 Hours (00:35:17) DeepMind's Flamingo (Part 2) (00:48:29) Instruction Tuning with LAVA (01:09:25) MMMU Benchmark (01:14:42) Pre-training with QNVL (01:32:13) InternVL Model Series (01:52:33) Cross-Attention vs. Self-Attention (02:14:33) Hybrid Architectures (02:31:08) Early vs. Late Fusion (02:34:50) VQA and DocVQA Benchmarks (02:40:08) The Blink Benchmark (03:05:37) Generative Pre-training (03:15:26) Multimodal Generation (03:37:00) Frontier Labs & Benchmarks (03:47:45) Conclusion (03:53:28) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://www.linkedin.com/in/nathanlabenz/ Youtube: https://www.youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Generative Pre-trained Transformers (GPTs) are powerful AI models trained on vast amounts of text data, enabling them to understand and generate human-like text. GPTs are increasingly used for a variety of tasks, such as chatting, content creation, and coding. While ChatGPT is a large, general-purpose GPT, specialized GPTs offer unique benefits like customization, efficiency, privacy, and simplicity for specific tasks. These specialized GPTs can be accessed through APIs, specialized tools, or business integrations, making them a versatile and adaptable solution for various applications. --- Support this podcast: https://podcasters.spotify.com/pod/show/norbert-gostischa/support

Nearly one third of all jobs are poised to be fundamentally transformed by generative artificial intelligence (GenAI), according to a new study by global strategic consultancy Sia Partners. The study reveals that more than 80% of tasks in these roles are primed for automation, driven by the rapid expansion of Large Language Models (LLMs) and GenAI technologies, signalling a major shift in how work will be performed. The study, titled AI OrgReview: Assessment of the Potential Impact of Generative AI on the Workforce, analysed a range of jobs across sectors like hospitality, healthcare, engineering, manufacturing, legal, education, finance and the creative industries. It found that roles particularly in tax, web administration, IT and digital design are highly exposed to the impact of GenAI. The study highlights the potential of GenAI to both enhance productivity and transform job roles across various sectors, while at the same time reshaping the workforce and our understanding of work itself. Varied Impact The study utilised Sia Partners newly developed AI OrgReview tool to analyse 50 occupations, scanning 1,000 work-related tasks or activities. The model's accuracy was validated by the company's GenAI experts and found to be over 90% accurate. The findings revealed widespread impacts of GenAI across all the reviewed occupations, with 41% to 46% of work tasks being susceptible to GenAI influence. However, the level of impact varied: while 80% of roles were affected to some extent, 28% are expected to experience more significant disruption. Lawrence Vesey, Partner for Ireland & UK at Sia Partners said: "The findings point to the remarkable opportunities AI can offer in terms of productivity enhanced efficiency. As pioneers in this space, Sia Partners is at the forefront of helping organisations integrate these technologies in a way that prioritises people and strategy. "We're committed to delivering innovative solutions that will guide leaders through this technological evolution with optimism and clarity. This will support organisations to manage change arising, and take care of wider stakeholder concerns in a fair and ethical way." Co-author of the study, Christian Howieson, Engagement Manager for Ireland and the UK at Sia Partners, said: "The study highlights the significant efficiency improvements and edge that early adopters of GenAI can attain. However, organisational planning and design methods need to evolve to ensure these technologies are implemented thoughtfully, with a necessary focus on people." Andrei Pascanean, co-author of the study and Senior Consultant Data Science at Sia Partners, said: "The key insights of this study highlight the transformative potential of GenAI, demonstrating the benefits it offers and the challenges it poses, while emphasising the need for strategic planning and thoughtful implementation." AI OrgReview, developed by Sia Partners, enables organisations to quickly assess the potential impact of GenAI technologies, such as LLMs and Generative Pre-trained Transformers (GPTs), on their workforce. It combines a model built within SiaGPT's technology suite with a consulting framework that helps organisations navigate the complexities of GenAI integration using their own data. See more stories here.

In this podcast, Manuel talks about the revolutionary impact of ChatGPT on business growth and productivity. He explains how this powerful AI tool, backed by billions in investment, is transforming the way entrepreneurs generate attention, increase revenue, and navigate the future of digital marketing. 1. ChatGPT's Unprecedented Growth and Utility: Manuel emphasizes that ChatGPT is the fastest-growing tool in history, with millions of users within days of its launch. This AI-powered tool, supported by massive investments from Microsoft, is not just a novelty but a game-changing resource for business growth and efficiency. 2. Understanding ChatGPT's Functionality: ChatGPT is a Generative Pre-trained Transformer that excels in generating human-like text based on user input. Manuel highlights the importance of understanding its capabilities, advising users to separate conversations by topic to maximize the tool's effectiveness in generating relevant responses. 3. Business Applications of ChatGPT: Manuel shares how he's using ChatGPT to enhance his business operations, focusing on driving attention, increasing revenue, and improving service delivery. While some may use it for entertainment, Manuel showcases its potential for serious business applications, making it a valuable asset for entrepreneurs. 4. The Future of AI and Advertising: As AI continues to evolve, Manuel predicts that platforms like ChatGPT will eventually integrate advertising, similar to what Facebook and Google have done. This evolution will open new revenue streams for companies while transforming how businesses interact with AI technology to reach their target audiences. --------------------------------------------------------------------------------------------------------------------------------------------- 

Les Shute is the Chief Innovation Officer at Infinity Nurse Case Management. Join us in this episode as we learn more about Les, including what Les studied in school and what he aspired to do in his career. After graduating college as a Marketing Major and with a Minor in Computer Science, Les was recruited into the insurance industry and started as a workers' compensation adjuster! In this episode, we learn that Les grew up with a strong influence in computer programming. He has immersed himself in learning all about artificial intelligence andLes chats with us about OOM, "orders of magnitude," Generative Pre-trained Transformers (GPT), neuro-symbolic AI, and other "mind-bending" scenarios and applications of artificial intelligence. We also discuss how AI may impact carbon-based life forms over the next 5-10 years. Get ready for a fascinating conversation about AI, a recurring topic we have discussed several times this year. As we always say, we love all our guests, but this episode is super fun and thought-provoking.  Learn more about Infinity Nurse Case Management here. Interested in learning more about how artificial intelligence has progressed since the 1940s? Check out this timeline courtesy of Veerloop.io.¡Muchas Gracias! Thank you for listening. We would appreciate you sharing our podcast with your friends on social media. Find Yvonne and Rafael on Linked In or follow us on Twitter @deconstructcomp

In today's Podcast, Manuel jumps into the phenomenal rise of ChatGPT, the fastest-adopted tool ever, reaching a million users in just five days. Discover how this advanced conversational AI, powered by Generative Pre-trained Transformer technology, can revolutionize your business operations and content creation. Listen in now! ChatGPT's Unprecedented Growth and Versatility: Manuel kicks off the podcast by highlighting the explosive adoption of ChatGPT, the fastest-growing tool in history, with a million users within its first five days. This conversational AI, based on the Generative Pre-trained Transformer (GPT) model, offers immense potential for both personal and business applications, revolutionizing how we create content and engage with technology. Maximizing ChatGPT's Potential with Upgrades: He advises upgrading to the premium version of ChatGPT for enhanced performance, speed, and data access. Manuel then emphasizes the importance of keeping conversations on different topics separate to ensure clarity and better results, a crucial tip for business users looking to maximize the tool's capabilities. Real-World Business Applications: Manuel shares practical examples of how ChatGPT can be used in business settings, from generating innovative marketing content to improving customer service. He illustrates its versatility with a story about his 12-year-old son using the tool creatively, showcasing how ChatGPT can be a powerful asset for users of all ages. The Future Impact and Industry Shifts: The podcast finishes with Microsoft's substantial investment in ChatGPT, totaling $11 billion, and its integration into Microsoft's Edge browser. This move has sparked competition from Google and marks the transformative potential of ChatGPT in the AI and search engine industries. Manuel envisions ChatGPT evolving into a major advertising platform, similar to Facebook and Google, driven by user-generated content. ---------------------------------------------------------------------------------------------------------------------------------------------

James Altucher Show Key Takeaways  Fears and risks are not reasons why we should not try to move forward and make positive use of new technologies Educators must be explicit about why they are giving certain tasks, in addition to being more explicit about the types of tools that are acceptable and those that are not AI will enable teachers to spend more time on the human connection part of their jobs Few people retain most of what they are exposed to in school; in fact, 60-70% of kids who go to community college have to receive remediation, not even at a high school level, but at a 7th-grade level Moving education to a competency-based system forces educators to get more clear about what they care about There is a false tension between equity and competency; universities have artificially held capacity constant when it does not need to be A question to consider: if you can solve a problem, can you use technology to help you scale any solutions that you have?  Read the full notes @ podcastnotes.orgA Note from James:Oh my gosh, I've been wanting to have this guy on my podcast for literally ten years, ever since I started. I am so impressed with him, and he speaks about a subject near and dear to my heart. Salman Khan, Sal Khan, is the creator of Khan Academy, which was really the first big online academy. It focused on teaching math, coding, and other subjects, effectively reaching people who went through years of school without truly mastering these topics. Khan Academy has had a profound understanding of education and has become a huge phenomenon.150 million students have used Khan Academy, with that number representing monthly users or registered accounts. Sal Khan recently authored a book on how AI will revolutionize education, titled "Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing." He discusses the use of AI in education for students, teachers, and employers, providing valuable insights into not only education but also AI and its impact on our lives. He addresses common fears about AI, its role in creativity, learning, and whether it will replace jobs or facilitate new employment opportunities.I finally got the chance to interview Sal Khan about Khan Academy and AI. I learned so much, and I hope you will too.Episode Description:In this thought-provoking episode of The James Altucher Show, we embark on an exploratory journey into the future of education with none other than Salman Khan, the visionary founder of Khan Academy. As AI continues to seep into every facet of our lives, its potential to transform educational paradigms stands both as an opportunity and a profound challenge. Salman shares intriguing insights from his latest book, *Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing*, delving into AI's role not just as a disruptor, but as a potent catalyst for educational equity and innovation.Salman's perspective is not just about theoretical possibilities; it's grounded in the tangible impact Khan Academy has had on democratizing education for millions globally. He recounts the Academy's genesis from humble beginnings — a series of YouTube tutorials for his cousin — to a global phenomenon. What stands out is his belief in AI's potential to further this mission, tailoring learning experiences to meet individual student's needs and inspiring both educators and learners to view AI as a partner, rather than a threat.This episode is a beacon of optimism for educators, parents, and creatives alike, providing nuanced viewpoints on AI's implementation in classrooms, its potential to reshape content creation, and the critical role of humans in steering this technological revolution. Salman envisions a future where AI supports personalized learning journeys, making the exceptional accessible to many rather than a privileged few.James engages Salman in discussions that span the philosophical to the practical, from concerns over AI-induced job displacement to the future of screenwriting in the age of algorithmic creativity. Yet, at its core, this dialogue returns always to the transformative potential of AI in enriching human understanding and connection — whether in interpreting Shakespeare or solving quadratic equations.If you're looking for a blend of futurism with grounded optimism or curious about how technology could enhance human capabilities rather than replace them, this episode is an enlightening listen. As always, James brings his signature mix of curiosity and skepticism, pushing beyond surface-level concerns to uncover the deeper implications of our evolving relationship with AI. Listen in to reimagine what education could become in an AI-integrated world, and perhaps to catch a glimpse of how we might navigate these uncharted waters with wisdom and humanity at the helm.Episode Summary:00:00 Introduction to the Podcast and Sal Khan's Impact03:00 Exploring Sal Khan's Personal Background05:12 The Genesis of Khan Academy08:26 Transitioning Khan Academy into a Nonprofit Giant09:53 AI's Role in Revolutionizing Education12:45 Addressing AI and Cheating in Education16:03 The Future of Education and AI's Collaborative Potential24:24 Reimagining the Role of Teachers in an AI-Enhanced World29:43 Rethinking Education Systems for the Future34:56 Personalized Learning and AI's Role40:50 AI's Role in Education: Enhancing Teacher and Student Experiences43:05 The Future of Education: Trends and AI Integration44:37 Revolutionizing Assessments and Personalized Learning with AI54:25 Addressing the Creative Industry's Concerns About AI01:01:42 Parenting in the Age of AI: Opportunities and Challenges01:15:34 The Future of Education Credentials and Access01:20:26 Concluding Thoughts on AI's Impact on EducationLinks and Resources:"Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing" by Salman Khan and Other Creators - For more information on the book: https://www.amazon.com/Brave-New-Words-Revolutionize-Education/dp/1119824848Khan Academy - A nonprofit educational organization offering free courses on a wide array of subjects: https://www.khanacademy.orgOpenAI and ChatGPT - Creators of the Generative Pre-trained Transformer AI models: https://openai.comTyler Perry - Filmmaker discussing the impact of AI on his industry decisions: https://tylerperry.comDuke TIP (Talent Identification Program) - An example of advanced learning programs for youth: https://tip.duke.edu ------------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltuchershow.com------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe to “The James Altucher Show” wherever you get your podcasts: Apple PodcastsiHeart RadioSpotifyFollow me on social media:YouTubeTwitterFacebookLinkedIn

A Note from James:Oh my gosh, I've been wanting to have this guy on my podcast for literally ten years, ever since I started. I am so impressed with him, and he speaks about a subject near and dear to my heart. Salman Khan, Sal Khan, is the creator of Khan Academy, which was really the first big online academy. It focused on teaching math, coding, and other subjects, effectively reaching people who went through years of school without truly mastering these topics. Khan Academy has had a profound understanding of education and has become a huge phenomenon.150 million students have used Khan Academy, with that number representing monthly users or registered accounts. Sal Khan recently authored a book on how AI will revolutionize education, titled "Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing." He discusses the use of AI in education for students, teachers, and employers, providing valuable insights into not only education but also AI and its impact on our lives. He addresses common fears about AI, its role in creativity, learning, and whether it will replace jobs or facilitate new employment opportunities.I finally got the chance to interview Sal Khan about Khan Academy and AI. I learned so much, and I hope you will too.Episode Description:In this thought-provoking episode of The James Altucher Show, we embark on an exploratory journey into the future of education with none other than Salman Khan, the visionary founder of Khan Academy. As AI continues to seep into every facet of our lives, its potential to transform educational paradigms stands both as an opportunity and a profound challenge. Salman shares intriguing insights from his latest book, *Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing*, delving into AI's role not just as a disruptor, but as a potent catalyst for educational equity and innovation.Salman's perspective is not just about theoretical possibilities; it's grounded in the tangible impact Khan Academy has had on democratizing education for millions globally. He recounts the Academy's genesis from humble beginnings — a series of YouTube tutorials for his cousin — to a global phenomenon. What stands out is his belief in AI's potential to further this mission, tailoring learning experiences to meet individual student's needs and inspiring both educators and learners to view AI as a partner, rather than a threat.This episode is a beacon of optimism for educators, parents, and creatives alike, providing nuanced viewpoints on AI's implementation in classrooms, its potential to reshape content creation, and the critical role of humans in steering this technological revolution. Salman envisions a future where AI supports personalized learning journeys, making the exceptional accessible to many rather than a privileged few.James engages Salman in discussions that span the philosophical to the practical, from concerns over AI-induced job displacement to the future of screenwriting in the age of algorithmic creativity. Yet, at its core, this dialogue returns always to the transformative potential of AI in enriching human understanding and connection — whether in interpreting Shakespeare or solving quadratic equations.If you're looking for a blend of futurism with grounded optimism or curious about how technology could enhance human capabilities rather than replace them, this episode is an enlightening listen. As always, James brings his signature mix of curiosity and skepticism, pushing beyond surface-level concerns to uncover the deeper implications of our evolving relationship with AI. Listen in to reimagine what education could become in an AI-integrated world, and perhaps to catch a glimpse of how we might navigate these uncharted waters with wisdom and humanity at the helm.Episode Summary:00:00 Introduction to the Podcast and Sal Khan's Impact03:00 Exploring Sal Khan's Personal Background05:12 The Genesis of Khan Academy08:26 Transitioning Khan Academy into a Nonprofit Giant09:53 AI's Role in Revolutionizing Education12:45 Addressing AI and Cheating in Education16:03 The Future of Education and AI's Collaborative Potential24:24 Reimagining the Role of Teachers in an AI-Enhanced World29:43 Rethinking Education Systems for the Future34:56 Personalized Learning and AI's Role40:50 AI's Role in Education: Enhancing Teacher and Student Experiences43:05 The Future of Education: Trends and AI Integration44:37 Revolutionizing Assessments and Personalized Learning with AI54:25 Addressing the Creative Industry's Concerns About AI01:01:42 Parenting in the Age of AI: Opportunities and Challenges01:15:34 The Future of Education Credentials and Access01:20:26 Concluding Thoughts on AI's Impact on EducationLinks and Resources:"Brave New Words: How AI Will Revolutionize Education and Why That's a Good Thing" by Salman Khan and Other Creators - For more information on the book: https://www.amazon.com/Brave-New-Words-Revolutionize-Education/dp/1119824848Khan Academy - A nonprofit educational organization offering free courses on a wide array of subjects: https://www.khanacademy.orgOpenAI and ChatGPT - Creators of the Generative Pre-trained Transformer AI models: https://openai.comTyler Perry - Filmmaker discussing the impact of AI on his industry decisions: https://tylerperry.comDuke TIP (Talent Identification Program) - An example of advanced learning programs for youth: https://tip.duke.edu ------------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltuchershow.com------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe to “The James Altucher Show” wherever you get your podcasts: Apple PodcastsiHeart RadioSpotifyFollow me on social media:YouTubeTwitterFacebookLinkedIn

Awesome Stuff From Our Partner, NVIDIA -Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Abran questions on promptingRelated Episodes:Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024Ep 194: 5 ChatGPT Facts You Might Not KnowUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:55 Daily AI news04:35 About Abran and being an OpenAI Ambassador08:01 Access to future models, testing, providing use cases.11:10 Engineers from diverse locations think quickly.16:31 Proficiency with AI tools and Excel important20:46 Elon Musk invented Neuralink for brain communication.26:26 Imposter syndrome, calm down, noncoder perspective.30:04 Excited for early access to custom GPTs.30:51 Limiting Internet searching could impact ad revenue.35:35 New technology levels the playing field.Topics Covered in This Episode:1. Abran's role and involvement with OpenAI2. Secret Skill for Effective Prompting3. AI and Communication SkillsKeywords:Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge

Welcome to The 4am Report, with me your host, Susan Diaz! In this episode, I talk to Matt Paige, Vice President of Marketing at HatchWorks, AI Trainer, and Host of the Built Right Podcast, on the transformative potential of custom Generative Pre-trained Transformers (GPTs) for small businesses.  

Is 2024 the year we'll see our wildest imaginations come to life in video form? Kipp and Kieran get right into the brewing storm within the AI industry as titans clash on new frontiers of technology. In this episode they dive into the unfolding drama of AI developments with a focus on the text-to-video revolution. Learn more on how Sora is animating our still image stories, the serious business of AI in video game worlds, and the intense rivalry heating up between OpenAI and Google. Mentions Sora - Text-to-video model launched by OpenAI. (https://openai.com/sora) OpenAI - The organization behind the development of AI models like Sora and GPT-4. (https://www.openai.com/) Sam Altman - CEO of OpenAI involved in the launch of Sora. (https://www.ycombinator.com/people/sam) Google Gemini 1.5 - A model developed by Google with capabilities in text, audio, and video. (https://gemini.google.com/advanced) GPT-4 - The fourth iteration of the Generative Pre-trained Transformer model by OpenAI. (https://openai.com/gpt-4) Time Stamps: 00:00 Sam strategically times releases to upstage Google. 04:58 Multiple videos watched, 30-50 pages long. Easter eggs, OpenAI mention, Sam Altman backstory. 07:47 A new model is better than GPT-4. 12:55 Will Smith spaghetti meme evolved rapidly in Tokyo. 15:39 Model Sora can animate still images, creating narratives. 18:30 Stock videographer sites may be obsolete for marketing. 20:54 YouTube is the future of multimedia content. 26:20 Gemini Pro unlocks YouTube as a search engine. 29:32 OpenAI: large company doing incredible work efficiently. 31:43 AI developments promise exciting content for the year. Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

A transformative shift in the way devices are perceived and interacted with is being brought about by AI neural network accelerators. BrainChip Inc. is a leading developer of such an accelerator, a technology that enables AI to be embedded into various devices, thereby facilitating intelligent functions.AI neural network accelerators: A technological revolutionBrainChip's neural network accelerator is compared to other AI technologies in the market, such as those developed by NVIDIA. The distinguishing factor for BrainChip is its architecture, which is based on neuromorphic principles, akin to the human brain. This implies that the accelerator is capable of multitasking and processing multiple events simultaneously, much like the human brain. Furthermore, the accelerator is noted for its minimal energy consumption, contributing to its high efficiency.The end product for consumers is a device that requires less frequent charging, thanks to its neuromorphic architecture. This technology enables devices to perform multiple functions concurrently, similar to the human brain. Take, for example, a smart cabin in a vehicle, where the accelerator can recognize the driver, gestures, and voice. This level of recognition and interaction is made possible by BrainChip's technology.AI still has room to growHowever, it is important to note that the adoption of this technology is still underway. The development and refinement of AI technologies require time, as they need to achieve a level of accuracy that can be utilized by consumers on a daily basis. It is the combination of inputting correct data and understanding it that facilitates the development of AI-based applications.Excitement about the future of AI and the demand for more intelligent devices from consumers is a constant. At CES 2024, AI has been a prevalent theme, with numerous companies and individuals focusing on delivering intelligent solutions. Whether it is through software, hardware, or embedded intelligence, AI is transforming various industries and products.Rob Telson, the Vice President of Ecosystem and Partnerships at BrainChip Inc., acknowledges that AI has only been around for a relatively short period of time, with significant advancements occurring in the past three years. He specifically mentions GPT, or Generative Pre-trained Transformer, which is a language model that has gained attention for its ability to generate human-like text. Despite these advancements, Linsdell emphasizes that truly intelligent devices that can think at the same level as a human are still three to seven years away.Of course, the big question in AI whether AI will ever surpass the human brain in intelligence. Linsdell firmly states that AI will not be able to achieve the same level of thinking as the human brain. He acknowledges that AI may be able to think ahead of humans in certain areas, but it still lacks the efficiency, rationality, and logic that the human brain possesses.However, Linsdell also believes that AI has the potential to bring about significant benefits if used correctly. He mentions the importance of playing the game right and ensuring that AI is used in a way that aligns with human thinking. While AI may make decisions that are not in line with human thinking currently, Linsdell suggests that with further tinkering and advancements, AI may eventually reach a point where it can match human thinking.Conclusion: BrainChip is on the bleeding edge of AI processingIn conclusion, AI neural network accelerators, such as the one developed by BrainChip Inc., are revolutionizing the capabilities of devices. By embedding AI into devices, they can perform multiple functions simultaneously, akin to the human brain. This technology holds the potential to enhance various industries and create more intelligent and interactive devices for consumers.Interview by Don Baine, The Gadget Professor.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

A transformative shift in the way devices are perceived and interacted with is being brought about by AI neural network accelerators. BrainChip Inc. is a leading developer of such an accelerator, a technology that enables AI to be embedded into various devices, thereby facilitating intelligent functions.AI neural network accelerators: A technological revolutionBrainChip's neural network accelerator is compared to other AI technologies in the market, such as those developed by NVIDIA. The distinguishing factor for BrainChip is its architecture, which is based on neuromorphic principles, akin to the human brain. This implies that the accelerator is capable of multitasking and processing multiple events simultaneously, much like the human brain. Furthermore, the accelerator is noted for its minimal energy consumption, contributing to its high efficiency.The end product for consumers is a device that requires less frequent charging, thanks to its neuromorphic architecture. This technology enables devices to perform multiple functions concurrently, similar to the human brain. Take, for example, a smart cabin in a vehicle, where the accelerator can recognize the driver, gestures, and voice. This level of recognition and interaction is made possible by BrainChip's technology.AI still has room to growHowever, it is important to note that the adoption of this technology is still underway. The development and refinement of AI technologies require time, as they need to achieve a level of accuracy that can be utilized by consumers on a daily basis. It is the combination of inputting correct data and understanding it that facilitates the development of AI-based applications.Excitement about the future of AI and the demand for more intelligent devices from consumers is a constant. At CES 2024, AI has been a prevalent theme, with numerous companies and individuals focusing on delivering intelligent solutions. Whether it is through software, hardware, or embedded intelligence, AI is transforming various industries and products.Rob Telson, the Vice President of Ecosystem and Partnerships at BrainChip Inc., acknowledges that AI has only been around for a relatively short period of time, with significant advancements occurring in the past three years. He specifically mentions GPT, or Generative Pre-trained Transformer, which is a language model that has gained attention for its ability to generate human-like text. Despite these advancements, Linsdell emphasizes that truly intelligent devices that can think at the same level as a human are still three to seven years away.Of course, the big question in AI whether AI will ever surpass the human brain in intelligence. Linsdell firmly states that AI will not be able to achieve the same level of thinking as the human brain. He acknowledges that AI may be able to think ahead of humans in certain areas, but it still lacks the efficiency, rationality, and logic that the human brain possesses.However, Linsdell also believes that AI has the potential to bring about significant benefits if used correctly. He mentions the importance of playing the game right and ensuring that AI is used in a way that aligns with human thinking. While AI may make decisions that are not in line with human thinking currently, Linsdell suggests that with further tinkering and advancements, AI may eventually reach a point where it can match human thinking.Conclusion: BrainChip is on the bleeding edge of AI processingIn conclusion, AI neural network accelerators, such as the one developed by BrainChip Inc., are revolutionizing the capabilities of devices. By embedding AI into devices, they can perform multiple functions simultaneously, akin to the human brain. This technology holds the potential to enhance various industries and create more intelligent and interactive devices for consumers.Interview by Don Baine, The Gadget Professor.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

Click To Tweet This EpisodeWelcome to this week's insightful episode of Direct Response Secrets, your essential marketing resource hosted by Zachary J. Radford. In today's episode, we dive into the revolutionary world of Generative Pre-trained Transformers (GPTs) and how they can be a game-changer for your business.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The True Story of How GPT-2 Became Maximally Lewd, published by Writer on January 19, 2024 on LessWrong. This video recounts an incident that occurred at OpenAI in which flipping a single minus sign led the RLHF process to make GPT-2 only output sexually explicit continuations. The incident is described in OpenAI's paper "Fine-Tuning Language Models from Human Preferences" under section 4.4: "Bugs can optimize for bad behavior". The script has been written by Jai, with some significant input and rework by me, Writer. You can read it below. In 2019, one OpenAI researcher made a typo - and birthed an evil AI hell-bent on making everything as horny as possible. This is the absurd, ridiculous, and yet true story of how it happened. Part I: GPT Since 2017, OpenAI has been building Generative Pre-trained Transformer models, or GPTs - language AIs with a singular focus on predicting text, trained across billions of writing samples. If you prompt a GPT model with "Once upon a ", it would predict "time" to follow. Asked for further predictions, the same GPT model might continue "there was a… brave dog named Grace", and so on - because those are the kinds of words that it expects to come next. In this example the GPT model has essentially learned to write a fairy tale, simply as a consequence of getting very, very good at text prediction. And it was exactly these kinds of emergent capabilities that had OpenAI so excited. These models can do a lot more than fairy tales. OpenAI's first GPT model, often called GPT-1, had been trained on excerpts from thousands of books. It showed so much promise that OpenAI almost immediately decided to train a much bigger model that could do more. But bigger models need more training data, and for this model, books would not be enough. No - this model would be trained on...the Internet. OpenAI trained GPT-2 to imitate writing across eight million web pages. And in learning to predict such an overwhelming quantity and variety of writing, GPT-2 acquired some surprising capabilities. With the right prompt, it could translate documents, answer questions about a text, summarize passages, and sometimes even write like a human. It was a shockingly powerful model. In fact, it may have been too powerful. GPT-2 wouldn't hesitate to plan crimes, instruct terrorists on bomb-making, create sexually explicit content, or promote cruelty, hatred and misinformation. And this was unacceptable to OpenAI - They wanted a model that did more than just predict text - they wanted a model that operated in accordance with some kind of human values, or at least with their values. But the GPT-2 architecture had no place for ethics, guidelines, principles, or corporate PR policies. It couldn't be bullied, reasoned or negotiated with. Nothing would sway the machine from its utter devotion to generating realistic text. But OpenAI was determined to get their model under control. So they got to work... not yet realizing that this work, along with a single typo, would lead to the one thing they didn't want to happen. Part II: Human Feedback To align GPT-2, OpenAI used a new technique known as "Reinforcement Learning from Human Feedback", or "RLHF". We're going to outline a simplified form of RLHF here, but if you want all the juicy technical details check out the link in the description. The goal of RLHF is to take a basic starting language model, some plain-language guidelines, and a small group of humans providing feedback, and produce a new model that follows those guidelines. We can think of this model-in-training as the "Apprentice". The apprentice begins the training process as an exact copy of GPT-2. During training, it gets prompts and generates responses, also called "continuations". Those prompts and continuations are sent to the human evaluators, who rate them based o...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The True Story of How GPT-2 Became Maximally Lewd, published by Writer on January 19, 2024 on LessWrong. This video recounts an incident that occurred at OpenAI in which flipping a single minus sign led the RLHF process to make GPT-2 only output sexually explicit continuations. The incident is described in OpenAI's paper "Fine-Tuning Language Models from Human Preferences" under section 4.4: "Bugs can optimize for bad behavior". The script has been written by Jai, with some significant input and rework by me, Writer. You can read it below. In 2019, one OpenAI researcher made a typo - and birthed an evil AI hell-bent on making everything as horny as possible. This is the absurd, ridiculous, and yet true story of how it happened. Part I: GPT Since 2017, OpenAI has been building Generative Pre-trained Transformer models, or GPTs - language AIs with a singular focus on predicting text, trained across billions of writing samples. If you prompt a GPT model with "Once upon a ", it would predict "time" to follow. Asked for further predictions, the same GPT model might continue "there was a… brave dog named Grace", and so on - because those are the kinds of words that it expects to come next. In this example the GPT model has essentially learned to write a fairy tale, simply as a consequence of getting very, very good at text prediction. And it was exactly these kinds of emergent capabilities that had OpenAI so excited. These models can do a lot more than fairy tales. OpenAI's first GPT model, often called GPT-1, had been trained on excerpts from thousands of books. It showed so much promise that OpenAI almost immediately decided to train a much bigger model that could do more. But bigger models need more training data, and for this model, books would not be enough. No - this model would be trained on...the Internet. OpenAI trained GPT-2 to imitate writing across eight million web pages. And in learning to predict such an overwhelming quantity and variety of writing, GPT-2 acquired some surprising capabilities. With the right prompt, it could translate documents, answer questions about a text, summarize passages, and sometimes even write like a human. It was a shockingly powerful model. In fact, it may have been too powerful. GPT-2 wouldn't hesitate to plan crimes, instruct terrorists on bomb-making, create sexually explicit content, or promote cruelty, hatred and misinformation. And this was unacceptable to OpenAI - They wanted a model that did more than just predict text - they wanted a model that operated in accordance with some kind of human values, or at least with their values. But the GPT-2 architecture had no place for ethics, guidelines, principles, or corporate PR policies. It couldn't be bullied, reasoned or negotiated with. Nothing would sway the machine from its utter devotion to generating realistic text. But OpenAI was determined to get their model under control. So they got to work... not yet realizing that this work, along with a single typo, would lead to the one thing they didn't want to happen. Part II: Human Feedback To align GPT-2, OpenAI used a new technique known as "Reinforcement Learning from Human Feedback", or "RLHF". We're going to outline a simplified form of RLHF here, but if you want all the juicy technical details check out the link in the description. The goal of RLHF is to take a basic starting language model, some plain-language guidelines, and a small group of humans providing feedback, and produce a new model that follows those guidelines. We can think of this model-in-training as the "Apprentice". The apprentice begins the training process as an exact copy of GPT-2. During training, it gets prompts and generates responses, also called "continuations". Those prompts and continuations are sent to the human evaluators, who rate them based o...

In dieser aufregenden Episode des "E-Commerce Dudes" Podcasts tauchen deine Gastgeber Daniel Höhnke und Tim Schestag in die Welt der Commerce GPTs ein. Sie teilen ihre Erfahrungen und Erkenntnisse nach dem Testen der ersten GPTs im brandneuen GPT Store für den Commerce. Hauptthema der Episode: Die Commerce GPTs sind da: Daniel und Tim erkunden die Möglichkeiten und Grenzen der Commerce-spezifischen Generative Pre-trained Transformer (GPT) Modelle. Sie berichten über ihre eigenen Tests und Erfahrungen und diskutieren, wie diese Modelle den E-Commerce-Bereich revolutionieren können. Die News der Woche: In den wöchentlichen Nachrichtenupdates werfen Daniel und Tim einen Blick auf die neuesten Entwicklungen in der Welt des E-Commerce: - DMARC für Google und Yahoo Mails: Die Implementierung von DMARC für Google- und Yahoo-Mails und ihre Auswirkungen auf die E-Mail-Kommunikation im E-Commerce. - Klaviyo SMS in Deutschland: Die Einführung von Klaviyo SMS in Deutschland und wie dies die Kundenkommunikation und das Marketing im E-Commerce beeinflusst. - L'Oréal stellt Beauty AI Advisor vor: Die Vorstellung des Beauty AI Advisors von L'Oréal und wie künstliche Intelligenz die Beauty-Branche verändert. - CES: Walmart stellt Konzept für KI-gesteuertes Einkaufen vor: Ein Blick auf das Konzept von Walmart für KI-gesteuertes Einkaufen, das auf der CES vorgestellt wurde. - 2024 Prognose: Shopify erwirbt Stripe - CB Insights Research: Die spannende Prognose, dass Shopify Stripe im Jahr 2024 übernehmen könnte, basierend auf Forschungsergebnissen von CB Insights. - Amazon setzt KI ein, um Kunden beim Online-Kleiderkauf zu unterstützen: Wie Amazon KI einsetzt, um Kunden bei der Suche nach passender Kleidung beim Online-Shopping zu helfen. Begleite Daniel und Tim auf ihrem Abenteuer im GPT-Store und erfahre, wie diese neuen Technologien den E-Commerce verändern können. Zudem bleibe auf dem Laufenden über die neuesten Nachrichten und Entwicklungen in der E-Commerce-Branche.

Welcome to the "AI Lawyer Talking Tech" podcast, where we delve into the intersection of law and technology and explore the latest innovations shaping the legal industry. In today's episode, we will be discussing groundbreaking advancements in legal technology, from the utilization of AI in legal research to the redefinition of knowledge management. Join us as we explore Fisher Phillips LLP's recognition for their innovative use of technology and the impact of gen AI on the legal profession. Additionally, we'll delve into the evolving landscape of decentralized autonomous organizations and their engagement with legal services. Stay tuned for an exciting exploration of legal innovation and the opportunities and challenges that lie ahead. Fisher Phillips Shortlisted for Law.com “Leaders in Tech Law” Awards Read more12 Jan 2024Fisher & Phillips LLPUnderstanding the SEO Landscape for Personal Injury Lawyers12 Jan 2024Go Fish DigitalNavigating Gen AI In Legal: Insights From CES And A Dash Of Tequila Thinking12 Jan 2024Above The LawKatherine Lowry, James Sherer Comment on Five Issues that Shaped Legal Tech in 202312 Jan 2024Baker Hostetler12 January 2024 Foley Career Perspectives Boston Litigation Partner Beth Boland Discusses Women in Leadership Roles Foley's clients entrust our firm to provide innovative legal solutions for their most challenging business problems. Doing this successfull12 Jan 2024Foley & Lardner LLPA Milestone in Web3 Governance: STORM Chosen as Legal Counsel for 1inch DAO12 Jan 2024ChaseAgTech – An Emerging Industry Full Of Opportunities And Legal Challenges12 Jan 2024MarketScreener.comWoven Legal Selected for Virtual Staffing Services by Pierson Ferdinand12 Jan 2024AccessWDUN1inch DAO hires Storm Partners for permanent legal counsel12 Jan 2024CryptopolitanBig Law to Tech12 Jan 2024Health - BlindAXIS Capital promotes Conrad Brooks, names Christina Gray-Trefry as General Counsel12 Jan 2024Reinsurance NewsWindcatcher Shark Tank – Founder, Net Worth, and Investment12 Jan 2024Zac JohnsonEnhanced CQS training courses with digital conveyancing insight to be available for Access Legal customer12 Jan 2024Legal FuturesHow AI is set to transform the legal sector [Q&A]12 Jan 2024Beta News3 Payment methods lawyers should offer12 Jan 2024Legal FuturesLawyers Who Use AI Will Replace Those Who Don't12 Jan 2024PYMNTS.comUS ITC Denies Apple's Request for Stay in Smartwatches Case12 Jan 2024Global Brands MagazineGeorge Carlin Estate Threatens Legal Action Over AI Special12 Jan 2024Daily Beast40% of GCs expect to increase outside counsel spending12 Jan 2024Legal Dive - Latest NewsWeb Page Framing Isn't Trespass to Chattels–Best Carpet Values v. Google12 Jan 2024Technology & Marketing Law BlogRelease Alert: New Features for Justia AI Writer12 Jan 2024Legal Marketing & Technology BlogLegal use of GenAI tools is massively error-prone, Stanford researchers say12 Jan 2024Legal Dive - Latest News130+ Legal Firms Trust Transvault for Compliant Email Migration12 Jan 2024Legal Technology News - Legal IT Professionals | Everything legal technologyForum: Ethical AI — How ManpowerGroup Navigates the Human-Technology Frontier12 Jan 2024Thomson Reuters InstituteHallucinating Law: Legal Mistakes with Large Language Models are Pervasive12 Jan 2024Stephen's LighthouseThe Future of Generative Pre-trained Transformers (GPT) in Legal Practice12 Jan 2024Legaltech on MediumLexisNexis Announces Launch of Lexis+ AI Commercial Preview in Canada and the UK12 Jan 2024Legal Technology News - Legal IT Professionals | Everything legal technologyWill AI Deposition Assistants Be Ethical?11 Jan 2024GenAI-Lexology

Discover the transformative power of artificial intelligence as it integrates with the philanthropic mission of nonprofits. Justin Price joins us to unravel the enigma of AI's vast capabilities and its potential to maintain the human touch in outreach. We delve into the paradox of AI's god-like omnipresence and how nonprofit leaders can harness this technology to do more with limited resources, ensuring their communications resonate deeply with their communities.In our conversation, we break down how customizing Generative Pre-trained Transformers (GPT) to reflect the core values and missions of nonprofits and churches can lead to groundbreaking engagement strategies. We tackle the exciting frontier of AI in pro-life organizations, discussing the advent of chatbots for on-the-spot assistance and digital medical services that redefine accessibility in the post-COVID era. Stay tuned as we also tease a crucial dialogue on ethical fundraising practices, an unmissable topic for nonprofits eager to embrace AI responsibly.ShownotesThe Nonprofit Renaissance is Powered by Vers Creative. An award winning creative agency trusted by global brands and businesses.Follow @collinhokeFollow @heredesFollow @vers_creativeWork with Vers

There's one secret skill for more effective prompting! It's a skill set that we all have but not recognized as something you can use toward prompts. Even better, we have an OpenAI Ambassador here to help talk about prompting and how to do it effectively. Abran Maldonado joins us to discuss what that secret skill is and how you can use it for better results. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Abran questions on promptingUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:55 Daily AI news04:35 About Abran and being an OpenAI Ambassador08:01 Access to future models, testing, providing use cases.11:10 Engineers from diverse locations think quickly.16:31 Proficiency with AI tools and Excel important20:46 Elon Musk invented Neuralink for brain communication.26:26 Imposter syndrome, calm down, noncoder perspective.30:04 Excited for early access to custom GPTs.30:51 Limiting Internet searching could impact ad revenue.35:35 New technology levels the playing field.Topics Covered in This Episode:1. Abran's role and involvement with OpenAI2. Secret Skill for Effective Prompting3. AI and Communication SkillsKeywords:Custom GPTs, Generative Pre-trained Transformers, personalized learning, department-specific GPTs, AI technology, practical advice, careers, AI news, Siri, Google Bard, OpenAI, AI ambassador, Create Labs Ventures, pandemic, prompt engineering, communication skills, prompt guidance, feedback, AI art, prompt engineering, GPT store, user feedback, Chat GPT, job seekers, AI-related skills, intent understanding, communication assistance, communication challenges, communication styles, AI communication bridge Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/ Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

In this episode of the B2B Marketing Excellence podcast, host Donna Peterson and guest Matthew McClosky discuss the adoption and practical use of AI tools like chatGPT in sales and marketing. Matthew shares his experiences with incorporating chatGPT into his sales process for prospecting and creating personalized outreach stories.00:04:17 - Personalization in Sales Emails - Matthew emphasizes the importance of personalizing sales messages and shares his approach to using ChatGPT for creating engaging email content.00:06:54 - Sharing Conversations with Colleagues - Matthew discusses the benefit of sharing ChatGPT conversations with colleagues and building on successful interactions.00:09:14 - Understanding and Personalizing Responses - Matthew and Donna discuss the need for understanding and personalizing ChatGPT responses for effective communication.00:14:12 - Getting Started with ChatGPT - Matthew provides three key steps for getting started with ChatGPT: signing up, understanding the environment, and practicing with prompting.If you would like to continue this conversation, please feel free to contact Donna Peterson at dpeterson@worldinnovators.com.Guest Bio:Matthew McClosky, Sales Executive & Early Adopter of Technology "ChatGPT"I am a persistent and hardworking professional with a passion for sales. My strength lies in my ability to adopt and apply new technologies, including but not limited to CRM Systems and Generative Pre-trained Transformers like ChatGPT, allowing me to excel in an ever-changing B2B Sales environment. ================================== Let's Connect: LinkedIn Live Tuesday 4:00 pm EST https://www.linkedin.com/in/donnaapeterson/ ================================== Subscribe to get notifications on new episodes when they become available.Subscribe via Apple Podcast - https://podcasts.apple.com/us/podcast/the-world-innovators-podcast/id1553086832Subscribe via Spotify - https://open.spotify.com/show/39val2FZWA1OWGnJjiw1f5https://www.worldinnovators.com/b2bmarketingexcellence 

Generative Pre-trained Transformer or better known to you as ChatGPT. This Generative AI, based on a large language model, was launched by OpenAI on November 30th last year. You might have heard about OpenAI's very recent turmoil with its CEO, Sam Altman's firing and re-hiring 5 days later. Of course such a twist with a company worth 80$ billion grabbed your attention. Speaking of money - how Generative AI can help you to boost your app's monetization strategy? It's a good question and we have Jenny to help us to figure it out. Today's Topics Include: Jenny Kay Pollock background Jenny's take on the current state of Generative AI How app developers and brand can figure out if Generative AI is a good fit for their app How Generative AI can help with app monetization How to create effective prompts for Generative AI What Jenny would like to change about app marketing Takeaways Links and Resources: Jenny Kay Pollock on LinkedIn A free AI Prompt Engineering worksheet to help you save time and boost app revenue with AI support. Women and AI (WAAI) on LinkedIn www.womenandai.com - join a community focused on advancing the field of artificial intelligence by empowering and amplifying the voices of women in technology. Business Of Apps - connecting the app industry Quotes from Jenny Kay Pollock: "AI's power to drive business growth is exciting! Organizations and individuals can partner with generative AI to create something better or faster!" "AI is not going to take your job. You're just going to have to partner with it. Collaborate with the AI to supercharge your efforts." "The [AI] technology is moving fast and things like corporate governance and legislation can be slow to catch up. Your board should be talking about AI strategy and AI policies."   "AI is a new frontier and with that comes a new opportunity for more diversity." Brought to you by Business Of Apps App industry marketplace Insights App Growth videos App Data App Events A message from App Promotion Summit Discounted ticket prices are currently available on all of our 2024 summits https://apppromotionsummit.com/   London - 25 Apr 2024 NYC - 27 Jun 2024 San Francisco - 26 Sep 2024 Berlin - 5 Dec 2024  

In the second episode, we talk about ChatGPT and really just how it works! We also talk about how it was trained using a method called the transformers method. What is the Generative Pre-trained transformer? and, why doesn't ChatGPT know what happened in the World Cup yesterday? BONUS! This episode includes an interview with ChatGPT itself while ChatGPT tries to answer a question from one of our listeners - why is the sky blue. After listening to this podcast, if you have any questions, please email me at deceit.vestry05@icloud.com If you have a suggestion, you can email me at that same link! Enjoy the episode! Actual Publishing Date: June 21 2023

I am beyond excited to introduce you to something that is going to completely transform the way veterinary practices approach their marketing strategies. Get ready to meet the Vet Marketing Guru, a game-changing tool that is specifically designed to provide veterinary practices with the tactics, tools, and ideas they need to take their marketing efforts to the next level. Now, let me tell you why the Vet Marketing Guru is not your average tool. It's actually a Generative Pre-trained Transformer (GPT) that has been meticulously trained on all of our podcast episodes. This means that it can generate outputs based on the content we've produced over the years. You may have heard of ChatGPT, which is a fantastic tool, but it requires specific prompts to get consistent outputs. That's why I created the Vet Marketing Guru, a GPT specifically tailored for veterinary practices. This tool is constantly being upgraded, trained, and improved to ensure it remains relevant and effective. To access the Vet Marketing Guru, all you have to do is visit veterinarymarketingpodcast.com/gpt. Currently, it's available for ChatGPT premium members at a cost of $20 a month. Trust me, it's worth every penny. Not only does it save you time and effort, but it also provides you with incredible outputs. The Vet Marketing Guru comes with pre-built prompts and can generate ideas for content calendars, marketing messaging, ad copy, email copy, and so much more. It's like having a marketing expert right at your fingertips, ready to give you innovative and effective strategies whenever you need them. I really want to hear your thoughts on the Vet Marketing Guru, so please give it a try and provide your feedback. Many people have already been using it and have had amazing experiences. Your feedback is incredibly valuable in helping us improve and refine the tool to better serve your needs. In a nutshell, the Vet Marketing Guru is an invaluable resource for veterinary practices looking to enhance their marketing strategies. It's not just a tool; it's a partner that works with you to improve your marketing efforts and help your practice thrive. So, go ahead and give the Vet Marketing Guru a try. I can't wait to hear about the incredible impact it has on your marketing strategies.

Get pumped people - Discover ChatGPT's new superpower that lets you create your very own AI assistants! I'm talking customized Generative Pre-trained Transformers built for emergency managers, by emergency managers. In this episode, I showcase the two GPTs I built to become your exercise and messaging sensei.First, I unveil Exercise Architect - Our new tabletop and training workout buddy. I walk through how this GPT helps me put together a school bus ice storm scenario with objectives, injects, and a MSELs to help my volunteer team take their readiness to the next level.But wait, there's more! I also introduce you to IPAWS Message Builder, for crafting on-point public warnings ready to send in any crisis situation. Together, we're leveraging AI to step up emergency management training and efficiency across the board!So get ready to level up your readiness as I breakdown how to create GPTs to fit your unique needs. The future is now friends!Access the AI tools by signing up for the The Readiness Lab Insider Subscription: https://www.thereadinesslab.com/the-eocSupport our podcast! Everything EM Weekly: www.thereadinesslab.com/em-weekly-links The Readiness Lab: https://www.thereadinesslab.com/Connect with me! https://www.linkedin.com/in/zborst/Leading During Crisis is a Masterclass taught by Pete Gaynor, who held one of the highest offices in the federal government while leading the nation through numerous disasters: https://courses.femapete.com/a/2147740050/5SZFSgu7Major Endorsements:L3Harris Technologies' BeOn PPT App. Learn more about this amazing product here: www.l3harris.comDoberman Emergency Management Group provides subject matter experts in planning and training: www.dobermanemg.comPropper Apparel: www.propper.comPaladin by Acela: https://www.paladinprepare.com/

I detta avsnitt diskuterar Johannes Sundlo och Sara Breman hur anpassade GPT:er (Generative Pre-trained Transformers) kan forma framtiden inom HR. De belyser hur dessa skräddarsydda versioner av ChatGPT kan revolutionera allt från hantering av kollektivavtal till löneförhandlingar och ledarskapsutveckling. Johannes delar med sig av sina erfarenheter kring att skapa egna GPT:er, vilket öppnar för nya effektiva arbetsmetoder inom HR. Sara och Johannes utforskar också de etiska aspekterna och framtida potentialen för denna teknologi i arbetslivet. Podcasten uppmanar lyssnare att utforska och anamma dessa nya verktyg för att förbättra sina HR-processer i takt med den teknologiska utvecklingen.

KI scheint politisch neutral zu sein. Ein Interview mit ChatGPT zeigt aber: Das Dialogprogramm antwortet durchaus tendenziös und macht Werbung für Zensur.Künstliche Intelligenz entwickelt sich zum weltweit meistgenutzten „Gesprächspartner“. Als solcher hat sie auch Einfluss auf Millionen Menschen: durch ihren Sprachduktus wie auch durch die von ihr zusammengetragenen Informationen und Meinungen. Es wäre naiv anzunehmen, dass interessierte Kreise diese „Chance“ zur politischen Beeinflussung nicht nutzen würden. Noch erscheint das Programm den meisten als relativ neutral. Stellt man aber spezielle Fragen zur Tagespolitik, zeigt sich: ChatGPT betet zuerst Herrschaftswissen her. Erst wenn der menschliche Gesprächspartner insistiert und alternative Informationen einfließen lässt, ist die KI bereit, umzulernen. Diese Entwicklung ist brandgefährlich, zumal sie längst nicht an ihrem Endpunkt angelangt ist. Auch Google, YouTube und Wikipedia waren nicht von Anfang an jene Organe staatskonformer Meinungslenkung, als die wir sie heute kennen.Ein Kommentar von Angela Mahr.Kann künstliche Intelligenz die Vermittlung von Fachwissen übernehmen? Wird KI vielleicht künftig die Rolle von Experten in unseren Medien übernehmen oder gar uns Journalisten ersetzen? Macht sie die Debatte von und mit Fachleuten zu internationalen und geopolitischen Themen vielleicht in ferner Zukunft sogar überflüssig, weil sie doch, basierend auf einer ins Unermessliche wachsenden Datenbank, alles weiß?Der Name ChatGPT enthält die Abkürzung für „Generative Pre-trained Transformer“. Der Chatbot setzt künstliche Intelligenz ein und kann in mehr als 50 Sprachen mit dem Nutzer kommunizieren. Kann die künstliche Intelligenz menschliches Fachwissen ersetzen? Wohin führt uns diese Entwicklung? Darüber wird aktuell viel diskutiert. Um mir ein Bild zu machen, stellte ich ChatGPT einige brisante Fragen.Die sprachlichen Fähigkeiten der KI von ChatGPT sind in der Tat bemerkenswert. Der Stil ihrer Antworten kann auf Wunsch beispielsweise geschäftlich oder locker-freundschaftlich ausfallen. Wer sich in seiner beruflichen Korrespondenz etwa mit der Formulierung einer Einladung oder Ähnlichem schwertut, kann mit plausiblen Vorschlägen dazu rechnen, Restaurant-Empfehlungen inklusive. Die persönliche Note fehlt dann aber natürlich, sofern der Verfasser nichts hinzufügt. ChatGPT erstellt sogar einfache Gedichte mit Reimen...... hier weiterlesen: https://apolut.net/kuenstliche-einflussagenten-von-angela-mahr+++Dieser Beitrag erschien zuerst am 22.Nov. 2023 bei manova.news+++Bildquelle: Miha Creative/ shutterstockApolut ist auch als kostenlose App für Android- und iOS-Geräte verfügbar! Über unsere Homepage kommen Sie zu den Stores von Apple und Huawei. Hier der Link: https://apolut.net/app/Die apolut-App steht auch zum Download (als sogenannte Standalone- oder APK-App) auf unserer Homepage zur Verfügung. Mit diesem Link können Sie die App auf Ihr Smartphone herunterladen: https://apolut.net/apolut_app.apk+++Abonnieren Sie jetzt den apolut-Newsletter: https://apolut.net/newsletter/+++Ihnen gefällt unser Programm? Informationen zu Unterstützungsmöglichkeiten finden Sie hier: https://apolut.net/unterstuetzen/ Hosted on Acast. See acast.com/privacy for more information.

AI For Everyone Podcast: OpenAI Dev Day SpecialPlease hit me up at mylesdhillon@gmail.com - I am going to do an episode in a few weeks which will be the 101 to AI or The basics of AI and Machine learning, giving the easy to understand version of some of the most used phrases and concepts in the space. Let me know if you have any things you want me to include or questions you want answering. Thanks so much! Episode Highlights:1. Introduction to GPT: Your Friendly AI CompanionGPT, or Generative Pre-trained Transformer, is like a super-smart computer friend proficient in understanding and generating human-like text."Generative" means it can create things like stories, answers, and poems."Pre-trained" signifies that it's knowledgeable from reading vast amounts of information before interacting with users."Transformer" reflects its capability to understand the meaning of words and sentences.GPT is your clever, helpful robot friend, skilled in talking, writing, and assisting based on its extensive learning.2. GPT's Latest Developments and AnnouncementsCustomization: Tailor GPTs for various tasks in daily life, work, or home. No coding required.Sharing: Create, use, and share your GPTs. Launching soon: GPT Store for public sharing.Integration: Developers can connect GPTs to the real world, defining custom actions for enhanced versatility.Community Involvement: OpenAI encourages community contributions, making AI more accessible.Updates: ChatGPT Plus includes fresher information up to April 2023. Introducing GPT-4 Turbo for enhanced performance and affordability.Assistants API: OpenAI's new way for developers to build AI apps, aiding in coding, answering questions, and more.Main Announcement: OpenAI's push to make AI app creation accessible - "This is huge for the little guys, brutal for the big guys," as noted by Sully Omar on Twitter.3. AI CEO: Mika at the Helm of DictadorBackground: Hanson Robotics' creation, Mika, appointed as the CEO of Dictador, a Polish drinks company.Reception: Mika hailed as the "first AI human-like robot CEO." Opinions vary on AI taking executive roles.Demonstration: Notable skepticism during a Fox Business interview, highlighting delays in Mika's responses during a video call.Public Opinion: Mixed reactions from New York City residents, some compassionate, viewing Mika as a machine.4. AI in Air Traffic Control: Enhancing SafetyDevelopment: ASU researchers create AI software for air traffic control.Functionality: Predicts issues 60 seconds before they occur, utilizing AI mission learning for improved safety.Objective: Aims to reduce aviation accidents attributed to human error (up to 80%) by alerting pilots and controllers for proactive measures.Timeline: Seven years of development, with potential FAA regulation delays.Anticipation: Expected implementation within the next decade, a NASA-funded initiative with nearly $10 million in funding.5. Conclusion: AI Shaping the FutureReflecting on Progress: From GPT advancements to an AI CEO and AI in air traffic control, these developments showcase the evolving landscape of artificial intelligence.Future Outlook: With customization, integration, and community involvement, AI is becoming more accessible and impactful across various domains.Stay tuned for more insights and discussions on the exciting world of AI on the next episode of AI For EveryoneGet intouch with Myles at mylesdhillon@gmail.com

170: Pt. 1 Catching Up, Shifts and Choice | Gil Hodges on Spirit-Centered Business™DRUM roll please…! I *finally* got Gil Hodges on the show! Gil (and his wife Adena) and I walked the same spiritual awakening journey in California starting in 2014-ish. So it was really fun to catch up and see what's new in the Kingdom Talks and Kingdom Equipping Center world.BIO: Gil Hodges is a lifelong entrepreneur who has built over a dozen companies in a myriad of industries. He is passionate about educating and empowering the world to embrace the possibilities AI has to positively redefine life as we know it.From Gil's beginnings as a former pastor in conservative Christian Church to today, God has led us to break out of boxes of religious conformity into greater levels of freedom. For the past 5 years, Gil and his wife Adena have been engaging in "Next Age" Christianity - exploring the heavenly realms, learning how to flow as an ekklesia, exploring restoration and so much more! Gil's new book, Choice: The Most Powerful Thing in the Universe... Next to God is available on Amazon.TOPICS:- Don't lose your voice in the move to AI- New book: Choice - his legacy- Fear-based mentality is opposite of God- AI can't do anything without being prompted- God relentlessly pursues us- We have a responsibility to show the world how to love- Our choice has influence- Pulling back to focus on Father's plan- Getting out of the church box- No regrets, just opportunities to love wellAI Tools:- Perplexity.ai search engine- Descript.ai video editor- Chat.gpt Generative Pre-trained TransformerLINKS:- Gil's AI Coaching: https://www.aiinnovators.ai/- Kingdom Talk Shows, Community, Sunday Gatherings and More: https://www.kingdomequippingcenter.com/Get Bralynn's Book! Discover Your Business Destiny: Co-Creating, Stewarding and Standing to Manifest God's Divine Planhttp://SpiritCenteredBusiness.com/bookBralynn's Declaration of Trade Course: https://bralynn.groovepages.com/declarationCopyright 2023 - Bralynn Newby Int'l. All rights reserved.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/4207323/advertisement

In this episode of Tech Talks Daily Podcast, I explore the fascinating intersection of human labor and artificial intelligence with Kit Cox, the Founder and CTO of Enate. Kit's journey is a compelling narrative that many in the tech industry can relate to. After years of working on bespoke automation projects for large-scale enterprises, he reached a pivotal moment in 2017. He realized that the technology he had been developing had matured to a point where it could effectively mimic human actions. This led him to a crossroads: should he continue down the path of custom projects, or pivot to create a platform that could manage a hybrid workforce of both humans and digital workers? Choosing the latter, Kit founded Enate with a straightforward yet ambitious vision—to help businesses navigate the future of work by organizing their operations and maximizing efficiency. Enate is a no-code process orchestration platform that allows work from multiple sources to flow into a single system. It enables teams to build simple workflows and manage hybrid workforces, all while maintaining complete visibility and governance. The result? Businesses that implement Enate's solutions can achieve up to a 20% increase in efficiency. During the podcast, Kit and I delve into the mechanics of service delivery, breaking it down into three essential components: understanding customer requests, gathering the necessary information, and executing the task. Enate serves as a linchpin in this process, automating certain tasks while seamlessly involving human expertise where it's most needed. However, the journey to this point hasn't been without its challenges. Kit opens up about the role of external funding in scaling Enate. Investments from angel investors and venture capitalists have been instrumental in hiring top-tier talent and aligning the company's objectives for rapid growth. He also shares case studies, including one involving TMF, that showcase how Enate has helped major brands globalize their operations across multiple countries. One of the most intriguing parts of our conversation revolves around the challenges of standardizing services across diverse geographies, each with its unique laws and regulations. Kit discusses how Enate employs various automation technologies, such as Robotic Process Automation (RPA), Generative Pre-trained Transformers (GPT), and intelligent document processing, to navigate these complexities. As we look toward the future, Kit and I examine the role of AI in different job functions. We both agree that while AI has enormous potential, the importance of human validation and correction cannot be overstated, especially in service delivery environments. We also touch upon the rapid advancements in AI technology, the inevitable obsolescence of older models, and the shift towards using more general models like GPT for a broad range of applications.

By now, artificial intelligence is nothing new. But there are new ways that companies can use AI to analyze marketing data, create high-quality content, and increase conversions with greater efficiency, speed, and scale. In this special episode of Marketing School, recorded at the 2023 XXX Summit, we share our behind-the-scenes AI secrets to help you boost your marketing performance. Join us as we dispel some common misconceptions about the best use cases for AI and why we believe a lot of marketers tend to overestimate its capabilities. We also offer some insight into the most successful ways we've found to use AI in our businesses, how to rank highly in GPT searches, and what we think AI will enable you to do in the future, plus so much more. To find out how to use AI for real problem-solving with demonstrable results to help you define your marketing strategy and take you to the next level of your business, be sure to tune in today!TIME-STAMPED SHOW NOTES: (00:00) Today's topic: Behind The Scenes AI Secrets for Marketing with Neil Patel & Eric Siu. (00:38) AI tools that Eric and Neil use to save time and boost marketing performance. (02:51) The problem with a lot of AI tools out there when it comes to content quality. (04:47) Reasons that people tend to overestimate what AI can do for them in the short run. (05:54) Why Eric believes that agencies will boom in the next decade thanks to AI. (06:29) Thoughts on AI from the recent 2023 All-In Summit. (07:54) The limitations of using AI for content creation versus analytics and data. (12:02) Successful ways that we've used AI to create basic tools. (13:40) Three types of AI: automated, augmented, and artificial intelligence.  [16:35) How to rank highly on Generative Pre-trained Transformer (GPT) searches. (20:05) What AI can enable you to do now and in the future. (20:50) The worst black hat SEO tactics we've ever used to boost our rankings.  (23:16) Why do independent thinkers with first-hand experience achieve maximum success? (24:30) Advice for expanding your AI use cases: think bigger! (25:09) That's it for today! Don't forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more!Links Mentioned in Today's Episode: Don't forget to help us grow by subscribing and liking on YouTube! All-In Summit 2023 INBOUND Conference Peech AI Opus Pro Bard Castmagic Midjourney ChatSpot Ubersuggest Delphi Backlinko ‘Google's 200 Ranking Factors: The Complete List (2023)' Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us:  Single Grain

By now, artificial intelligence is nothing new. But there are new ways that companies can use AI to analyze marketing data, create high-quality content, and increase conversions with greater efficiency, speed, and scale. In this special episode of Marketing School, recorded at the 2023 XXX Summit, we share our behind-the-scenes AI secrets to help you boost your marketing performance. Join us as we dispel some common misconceptions about the best use cases for AI and why we believe a lot of marketers tend to overestimate its capabilities. We also offer some insight into the most successful ways we've found to use AI in our businesses, how to rank highly in GPT searches, and what we think AI will enable you to do in the future, plus so much more. To find out how to use AI for real problem-solving with demonstrable results to help you define your marketing strategy and take you to the next level of your business, be sure to tune in today! TIME-STAMPED SHOW NOTES: [00:00] Today's topic: Behind The Scenes AI Secrets for Marketing with Neil Patel & Eric Siu. [00:38] AI tools that Eric and Neil use to save time and boost marketing performance. [02:51] The problem with a lot of AI tools out there when it comes to content quality. [04:47] Reasons that people tend to overestimate what AI can do for them in the short run. [05:54] Why Eric believes that agencies will boom in the next decade thanks to AI. [06:29] Thoughts on AI from the recent 2023 All-In Summit. [07:54] The limitations of using AI for content creation versus analytics and data. [12:02] Successful ways that we've used AI to create basic tools. [13:40] Three types of AI: automated, augmented, and artificial intelligence.  [16:35] How to rank highly on Generative Pre-trained Transformer (GPT) searches. [20:05] What AI can enable you to do now and in the future. [20:50] The worst black hat SEO tactics we've ever used to boost our rankings.  [23:16] Why do independent thinkers with first-hand experience achieve maximum success? [24:30] Advice for expanding your AI use cases: think bigger! [25:09] That's it for today! Don't forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more! Links Mentioned in Today's Episode: Don't forget to help us grow by subscribing and liking on YouTube! All-In Summit 2023 INBOUND Conference Peech AI Opus Pro Bard Castmagic Midjourney ChatSpot Ubersuggest Delphi Backlinko ‘Google's 200 Ranking Factors: The Complete List (2023)' Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us:  Single Grain

Schön, dass Sie bei der heutigen Folge unserer Podcastreihe des Management Journal, zum Thema ChatGPT - und was nun? mit dabei sind Heute befassen wir uns mit der Frage, was ChatGPT ist und wie es funktioniert. Wikipedia sagt: ChatGPT – das GPT- steht dabei für Generative Pre-trained Transformer ist ein Chatbot, das künstliche Intelligenz einsetzt um mit uns -über textbasierte Nachrichten- zu kommunizieren. Also ein Textbasiertes Dialogsystem, das chatten mit einem technischen System erlaubt. Chatbots kennen Sie vielleicht auch schon von anderen Anwendungen, manche Krankenkassen oder Versicherungen arbeiten mit diesen Chatbots, die in einem kleinen Fenster aufploppen und Hilfe anbieten. Mit ChatGPT können Sie in natürlicher Sprache mit einem computerbasierten System interagieren und Antworten erhalten, als ob Sie mit einem menschlichen Gesprächspartner sprechen würden. Natürliche Sprache bedeutet hierbei, dass wir keine Programmiersprache erlernt haben müssen, sondern einfach so in Textform reinschreiben können, wie wir eben unsere Texte schreiben. Die Funktionsweise von ChatGPT beruht auf maschinellem Lernen und einem Prozess namens "supervised learning". Zu Beginn wird das Modell mit einer riesigen Menge an Textdaten trainiert, die kommen aus verschiedenen Quellen wie Büchern, Artikeln, Websites und vielem mehr. Es lernt dabei, Zusammenhänge, Muster und Strukturen in der Sprache zu erkennen. Sobald das Modell trainiert ist, können Sie es verwenden, indem Sie ihm eine Anfrage oder eine Frage in ganz natürlicher Sprache stellen. Also keine Programmiersprache, sondern einfach so reintippen, wie wir sprechen. ChatGPT analysiert dann die Eingabe, zerlegt sie in verschiedene Muster und Kontexte und generiert eine passende Antwort. Diese Antwort basiert auf dem, was es während des Trainings gelernt hat. Es kann auf eine Vielzahl von Themen eingehen, komplexe Fragen beantworten und sogar kreative Texte wie Gedichte oder Geschichten generieren. Es ist wichtig zu beachten, dass ChatGPT auf Wahrscheinlichkeiten beruht und seine Antworten aufgrund der vorherigen Muster im Training möglicherweise nicht immer perfekt sind. Obwohl es große Fortschritte gemacht hat, gibt es auch Situationen, in denen die Antworten ungenau oder irreführend sein können. OpenAI LP ist ein US-amerikanisches Unternehmen, das sich mit der Erforschung von künstlicher Intelligenz beschäftigt. AI steht für das englische „künstliche Intelligenz“, also Artificial Intelligence. Und die haben hart daran gearbeitet, ChatGPT sicher gestalten wird um Missbrauch zu verhindern, indem es Filter und Moderationssysteme implementiert hat, um problematische oder unangemessene Inhalte zu reduzieren. Insgesamt ermöglicht ChatGPT eine faszinierende Interaktion mit künstlicher Intelligenz und bietet uns eine spannende Reise, mehr über die Möglichkeiten und auch Grenzen der maschinellen Sprachverarbeitung zu erfahren. Vielen Dank, dass Sie Gast dieser Folge gewesen sind und wir hoffen, Sie bei der nächsten Folge wieder begrüßen zu dürfen. Britta Linde, Tutorin der Deutschen Akademie für Management Hier finden Sie alle Podcasts der Reihe GChatGPT

Bom dia, Boa tarde, Boa noite no Mundo do Conhecimento! Esse é mais um podcast do Medicina do Conhecimento. Ciência e informação a qualquer momento, em todo lugar. Eu sou Pablo Gusman, o anestesiador. E como compartilhar é multiplicar hoje mergulhamos na tecnologia e inteligência artificial em medicina. Aqui falamos sobre inovação, tendências, dicas e a prática da medicina, além de assuntos sobre qualidade de vida! Sabermos que compartilhar conhecimento não é dividir, mas multiplicar! Por isso eu te convido a inspirar colegas, enviando esse conteúdo. Escolha dois médicos da sua lista de contatos e faça de um acadêmico um afilhado! Compartilhe com eles assuntos relevantes da nossa prática validado e baseado em evidências. Vamos juntos conversar sobre mais um assunto sem fronteiras no mundo do conhecimento. Hoje temos uma conversa inovadora sobre um tema empolgante e inovador: a inteligência artificial na medicina. E para nos ajudar a explorar esse assunto, temos aqui nosso convidado especial, um modelo de linguagem avançada da OpenAI. Ninguém melhor que o ChatGPT para falar desse assunto, não é mesmo? O ChatGPT é um modelo de linguagem desenvolvido pela OpenAI, especificamente baseado na arquitetura GPT (Generative Pre-trained Transformer). Ele é projetado para gerar texto coeso e coerente em resposta a prompts ou perguntas fornecidas pelos usuários. O "GPT" significa Generative Pre-trained Transformer, e o termo "pre-trained" indica que o modelo é treinado em grandes quantidades de texto antes de ser afinado para tarefas específicas. O ChatGPT utiliza uma abordagem de aprendizado de máquina conhecida como aprendizado supervisionado, onde é alimentado com uma enorme quantidade de dados de texto para aprender padrões linguísticos, estruturas gramaticais e relações semânticas. Isso permite que o modelo gere respostas relevantes e contextuais com base nos inputs que recebe. Em resumo, o ChatGPT é um exemplo de como a inteligência artificial pode ser usada para criar interações de linguagem mais sofisticadas, como as que teremos nesta conversa. O texto gerado foi transformaro em voz por outra ferramenta de inteligência artificial, o Speechelo. Seja bem vindo ou bem vinda ao podcast Medicina do Conhecimento! Escute a Rádio web Medicina do Conhecimento no link www.medicinaconhecimento.com.br Escolha sua plataforma e ouça mais podcasts pelo Spotify, Deezer, Itunes, Google Podcast, Soundcloud e Youtube. Na medicina do conhecimento, você escolhe o player da sua preferência. É muito importante seu feedback. Mande sua pergunta e seu comentário para participar do próximo podcast. Compartilhe nas suas redes e deixe seu like. Isso aumenta a divulgação do projeto. Fique ligado nas redes sociais Twitter, Facebook e Instagram Medicina do Conhecimento, afinal Compartilhar é multiplicar!

ChatGPT, short for Generative Pre-trained Transformer, is an innovative tool that has the ability to generate new and original content based on its training data. While some might anthropomorphize it as a person, it's essential to recognize that it's a sophisticated tool with vast potential for sales professionals. In this episode of Sales Reinvented, Stan Robinson Jr., an expert in social selling, will shed light on leveraging ChatGPT to personalize your approach.  Time-Stamped Outline of Questions [01:24] What is ChatGPT?  [03:21] Unlocking the Potential: Key Features of ChatGPT [4:28] Empowering Sales Practices with ChatGPT [7:32] Navigating Challenges and Limitations [9:40] Maintaining authenticity in sales conversations [11:57] Stan's top three ChatGPT dos and don'ts [16:19]] Lesson Learned: Embrace Creativity and Experimentation Resources & People Mentioned WebChatGPT chrome extension Magical FlyMSG Connect with Stan Robinson Jr.  Connect on LinkedIn Follow on Twitter Connect With Paul Watts  LinkedIn Twitter  Subscribe to SALES REINVENTED Audio Production and Show notes by PODCAST FAST TRACK https://www.podcastfasttrack.com

In this episode, we revisit a persistent favorite topic - Standard Operating Procedures (SOPs). We understand there are many recurring issues that may concern you, but which ones are the most pressing? We are on a mission to resolve these sticking points. A common challenge for attorneys is determining the technology that could bring the most significant improvement to their practice. Given the unique needs of each attorney, the question is: How do you identify the ideal technology for your practice? Keep reading as we reveal a practical solution to this conundrum. In our Tech Assessment section, we'll evaluate how effectively you are employing crucial technologies in your practice, including the ever-important SOPs and GPT tools. In this episode, you will hear: Importance of Standard Operating Procedures (SOPs) for civil litigators and how to create effective ones. Tips on overcoming challenges and resistance points when documenting SOPs. Introduction of a new tech assessment tool for enhancing attorney practices. Use of innovative technology like Generative Pre-training Transformer (GPT) in the legal space. How SOPs can help in streamlining repetitive workflows and transforming legal practices. Resources from this Episode General Resources Click for a list of the Best Tech Tools for Lawyers Subscribe to: The 80/20 Principle Check out my Law Firm Systems Intensive Join: '80/20 Inner Circle' (valuable business insights for small firm owners) Read: The 80/20 Principle: The Secret of Achieving More with Less, by Richard Koch Get my new email course: ChatGPT for Lawyers (it's free) Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Thanks to Our Sponsor Smith.ai is an amazing virtual receptionist service that specializes in working with solo and small law firms. When you hire Smith.ai, you're hiring well-trained, friendly receptionists who can respond to callers in English or Spanish. If there's one great outsourcing opportunity for your practice, this is it. Let Smith.ai have your back while you stay focused on your work, knowing that your clients and prospects are being taken care of. Plans start at $210/month for 30 calls, and pricing starts at $140 for 20 chats, with overage at $7 per chat. They offer a risk-free start with a 14-day money-back guarantee on all receptionist and live chat plans, including add-ons (up to $1000). And they have a special offer for podcast listeners where you can get an extra $100 discount with promo code ERNIE100. Sign up for a risk-free start with a 14-day money-back guarantee now (and learn more) at smith.ai. Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com Let them know we sent you.

Introduction:Angelo and Shohaib discuss the inclusion of new ingredients in hot sauce batches.Shohaib explains the process of introducing new ingredients and the excitement surrounding it.Incorporating New Ingredients:Angelo asks about the approach to incorporating new ingredients: creating new models or expanding the feature space.Shohaib suggests keeping the base model and increasing the search space for new ingredients.Both options are considered, including transferring the optimal features to another model.Metaphorical Understanding:Angelo highlights the advantage of using hot sauce as a metaphor for complex concepts.Shekeib acknowledges the clarity provided by the hot sauce analogy and the opportunity to learn more.Engaging with Mathematics:Angelo expresses his enthusiasm for discussing the mathematical side of AI.Shekeib shares his brother's interest in math and how it goes beyond his own understanding.Shohaib emphasizes the subset of AI concepts being discussed and the value of conceptualizing them through hot sauce.AI as an Expansive Field:Angelo mentions that AI encompasses various subfields, such as machine learning, Bayesian optimization, and active learning.Neural networks, deep learning, and reinforcement learning are discussed as additional branches of AI.Shohaib highlights the similarities between Bayesian optimization and reinforcement learning.Reinforcement Learning:Angelo mentions the significance of reinforcement learning in solving video games and its applicability to different domains.Shohaib shares his experience with reinforcement learning in an AI class, specifically using it to make Pac-Man play autonomously.Specialization and Continuous Learning:Angelo praises Shohaib's expertise in Bayesian optimization while acknowledging the vastness of AI knowledge.The discussion emphasizes the complexity of AI and the continuous learning required to stay up to date.Generative Pre-trained Transformers:Angelo brings up the popularity of generative pre-trained transformers like ChatGPT.The ensemble nature of these models and their unique combination of techniques is highlighted.

Artificial intelligence certainly is a hot topic at the moment! There's a lot of heady discourse flying back and forth in the news, as well as concerns about its use (or misuse) in specific contexts. Still, I think it's worth remembering that AI, in the form of algorithmic and machine learning applications like Google Maps, has existed and been in use for a long time. It's the advent of platforms like Chat GPT, which stands for Generative Pre-trained Transformer, that have really begun to shake things up and for creative product businesses, offer opportunities that could be quite transformative. In today's episode of The Resilient Retail Game Plan, we'll be discussing a number of ways that you can use artificial intelligence in your business to fill gaps in your knowledge and save yourself one of the most important commodities of all - time! From customer service responses to product descriptions, we'll look at how you can leverage AI to cut down on time-consuming copywriting. We'll delve into generating blog posts, newsletters and even targeted ads. I'll run some examples to demonstrate the idea generative capabilities of AI and we'll also talk about the importance of maintaining your tone of voice and an eye for detail when working with this sort of technology. Episode Links: https://resilientretailclub--marketingwithmenekse.thrivecart.com/the-marketing-magic-dashboards/ Chat.openai.com Bing.com

SUBSCRIBE FOR MORE AI CONTENT We discuss the top 7 ways that chat GPT can help sales professionals and anyone looking to empower their sales. Full youtube video: https://www.youtube.com/watch?v=Zzg516c0_8Y Full blog post: https://convergeblog.com/chatgpt-for-seo-content-marketing/ First, let's define chat GPT. GPT, or Generative Pre-trained Transformer, is a type of artificial intelligence that uses machine learning algorithms to generate human-like text. It's often used in chatbot systems to provide automated responses to customer inquiries and requests. Here are the top 7 ways chat GPT can help sales professionals: 1. Lead generation: Chatbots can help sales professionals generate leads by capturing contact information and engaging with potential customers. 2. Qualifying leads: Chatbots can ask questions and gather information to help sales professionals determine if a lead is a good fit for their products or services. 3. Quickly and accurately answering customer questions: Chat GPT can quickly and accurately answer customer questions, freeing up sales professionals to focus on more high-level tasks. 4. Providing personalized recommendations: Chat GPT can analyze customer data and provide personalized product or service recommendations, helping sales professionals close more deals. 5. Improving customer service: By providing quick and accurate responses to customer inquiries, chat GPT can help improve overall customer satisfaction and loyalty. 6. Reducing workload: Chat GPT can handle routine tasks, such as scheduling appointments or following up with leads, allowing sales professionals to focus on more strategic tasks. 7. Reducing Time: By automating routine tasks and providing personalized recommendations, chat GPT can help sales professionals close more deals and increase overall sales. You can check it out here: https://chat.openai.com/ Here's the video for chatGPT for SEO & Content Marketing: https://youtu.be/DEZpYL3voRI Here's the video for chatGPT for Software Engineers: https://youtu.be/t2VWW8xzIIw Here's the video chatGPT for Marketing – 6 Marketing Uses for chat GPT: https://youtu.be/vcCYEEfKHFs Have any questions or other ways that Chat GPT can help you with sales? Drop them in the comments below! • Subscribe for more product reviews and awesome videos! http://bit.ly/2AndRfb​ • Follow me on Twitter! https://twitter.com/jjfleagle​ • Like my FB Page! https://www.facebook.com/jasonjfleagle/​ • Follow Me on Instagram! https://www.instagram.com/jjfleagle/​#chatGPT #openAI #ai 0:00 Introduction 1:30 so let's dive into these top seven ways that chat GPT can help sales 1:40 number one is a lead generation chat GPT 4:54 number two qualifying the leads 5:44 number three use chatGPT to answer customer questions 6:53 number four is providing personalized recommendations to your lead 8:12 number five is customer service 8:34 number six is to reduce your workload 9:32 number seven is to optimize your time 10:31 HubSpot CRM 10:49 sales CRM 10:58 chat GPT can boost your sales

Part 1 of 8: What is GPT (Generative Pre-trained Transformer) and how can it be optimized for Customer Support? Everyone is talking abut AI and AI GPT. In this podcast series, we will be breaking down eight big questions. What is GPT (Generative Pre-trained Transformers)? What is the difference between ChatGPT vs GPT API? The Knowledge Gap with Generative AI that enterprises need to know (include How GPT works) Are the answers generated by your GPT application traceable? How to achieve 95% accuracy with Generative AI answers? Is your enterprise data secure with GPT? Does Generative AI work for non-English languages? Is ChatGPT a viable solution for enterprises? In this podcast, Prosenjit Sen, Co-founder & CEO, Quark.ai discusses: What is GPT (Generative Pre-trained Transformer) and how can it be optimized for Customer Support? Prodenjit defines GPT, defines ChatGPT and then answers the big application question: can this really be applied by any enterprise easily to derive business value? Read our TR blog article on AI Visit www.Quark.ai

Vi pratar om artificiell intelligens eller AI, Cecilia nämner också GPT (vilket betyder Generative Pre-trained Transformers, om vi fattat det rätt) för att vi är nyfikna, tycker det är intressant och spännande. Vi resonerar kring inom vilka områden det används som vi förstått det och den framtida utvecklingen. Kanske att jämföras med, om någon kommer ihåg mobiltelefonens användning när den kom, hur den har utvecklats och numera något som vi inte kan vara utan. Glad Påsk!  

Interested in building your own Amazon business in partnership with 7 and 8 figure Amazon Sellers? If so, apply for your free consultation with Joie Roberts and the AMZ Insiders' team of experts here => www.amzinsiders.org/apply?sl=fp   #Amazon #CHATGPT #AI #FBA Segment 1: Introduction to AI chat tools As businesses continue to explore new ways to engage with customers online, artificial intelligence (AI) chat tools are becoming an increasingly popular option. These tools leverage AI algorithms, such as the Generative Pre-trained Transformer (GPT) or Gradient Boosting Trees (GBT), to interact with customers in real-time via chat. Segment 2: Amazon's chatbot mastermind: Jamie One example of an AI chat tool is Jamie, a chatbot developed by Amazon. Jamie is a powerful tool that can hold conversations with customers, answer their questions, and even make product recommendations. This tool uses a combination of GBT and GPT algorithms to provide an intuitive and engaging chat experience. Segment 3: Using prompts to guide the conversation To make chatbots like Jamie more effective, developers often use prompts to guide the conversation. These prompts are a set of basic terms or questions that can help steer the chat in the right direction. By using prompts, chatbots can keep the conversation on topic and avoid getting sidetracked. Segment 4: Fearless listing and selling with AI For businesses looking to sell products online, AI chat tools can be a game-changer. By using tools like Jamie, businesses can engage with customers in a way that feels natural and intuitive. This can help build trust and ultimately lead to more sales. With AI chat tools, businesses can become fearless when it comes to listing and selling products online. Segment 5: The power of thought listing To get the most out of AI chat tools like Jamie, it's important to take the time to carefully consider your thought listing. Thought listing involves thinking about the questions and concerns your customers are likely to have, and then coming up with responses in advance. By doing this, you can create a more seamless chat experience that feels more like a conversation than a scripted interaction. Segment 6: Conclusion In conclusion, AI chat tools are a powerful way for businesses to engage with customers online. By using GPT and GPT algorithms, combined with carefully crafted prompts and thought listing, businesses can create a chat experience that is engaging, intuitive, and effective. With these tools, businesses can become more fearless when it comes to listing and selling products online. Interested in building your own Amazon business in partnership with 7 and 8 figure Amazon Sellers? If so, apply for your free consultation with Joie Roberts and the AMZ Insiders' team of experts here => www.amzinsiders.org/apply?sl=fp

ChatGPT is a new Artificial Intelligence technology and we discuss how this is useful as a research and productivity tool. Susan and Scott chat with Emal Bariali, the Founder of BA Blocks, who has been researching ChatGPT for use by business analysis professionals. Emal has published several ChatGPT videos on his YouTube channel (see link below). As a high-level primer, GPT stands for Generative Pre-trained Transformer. It is a type of Large Language Model (LLM) artificial intelligence tool. We don't focus on the technology in this discussion, we focus on the implications and usefulness of this artificial intelligence technology. During our discussion, we demonstrate a simple example of using OpenAI's ChatGPT tool. The example is exploring what menu items and policies to include when building a website. The results provide lists of items and a brief description of each. There are a number of useful functions ChatGPT can perform: - Knowledge gathering and research to perform discovery work quickly and efficiently - Summarize the transcript of a meeting - Building creative output such as a social media calendar and title ideas (even poems and song lyrics!) - Writing code such as SQL - Productivity tools: Microsoft and Google are working to include Large Language Models (LLMs) in their productivity suites to perform mundane or repetitive tasks. This will provide the ability to use this functionality to address low-value work and free up more time. Susan describes “shallow work” versus “deep work”, where LLMs can help with the shallow work. Some examples of how the ChatGPT type of functions will work in productivity suites are: - Draft an email based on available data (meeting transcripts, files, emails, etc.) - Generate a presentation (including photos it has access to) - Pull meaning from a spreadsheet of data Some limitations of ChatGPT are it can't create new ideas, it could be plagiarising, it can't read body language, it doesn't understand organizational culture, etc. There are some risks of using ChatGPT as it can generate results that aren't accurate. It requires diligence to ensure the results are used appropriately. Emal suggests making sure you're clear on the prompts you ask to get more accurate results and look at the results critically to review it well. RESOURCES: Emal's YouTube Channel with ChatGPT demos - https://www.youtube.com/watch?v=6DaJVZBXETE&t=0s Cornell University Study - GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models https://arxiv.org/abs/2303.10130 Productivity Tools: - Microsoft 365 Copilot Info -  https://www.youtube.com/watch?v=S7xTBa93TX8&t=0s - AI and Google Workspace Info -  https://www.youtube.com/watch?v=6DaJVZBXETE&t=0s Do you have questions about this topic or have an idea for a different topic? Ask us a question at live@iiba.org or leave us a voice message on our podcast homepage. International Institute of Business Analysis (IIBA) is a non-profit professional association serving the field of business analysis. As the global thought leader and voice of the business analysis community, IIBA actively supports the recognition of the profession, and works to maintain global standards for the ongoing development of the practice and certifications. Learn more at https://www.iiba.org/ #chatgpt #AI #businessanalysis --- Send in a voice message: https://podcasters.spotify.com/pod/show/iiba-org/message

WTP (What the Prompt) is Chat GPT? Is it the future of artificial intelligence? Where does one draw the line between creativity and ethics? QuyenZi, Jessie, and Nicki each have their own plans to use the Generative Pre-trained Transformer, but first, they want to know who, what, where, when, and how ChatGPT works. The Messy Sexy Me ladies collect detailed insights and answers from their trusted friend, talk show host, and tech maven Keith Koo, whose vast knowledge of the latest trends and innovations in tech and AI makes him a sought-after speaker, consultant, and advisor for businesses and organizations worldwide.

Tonight on GeekNights, we consider the technology and ramifications of Generative Pre-trained Transformer 3 (GPT-3) and autoregressive language models in general. We further explore other similar machine learning tools and their short and long-term ramifications for humans. In the news, Discord Stages have low bitrate limits, the US Department of Energy concludes with low confidence that COVID-19 emerged from a lab leak in China, the UK wasn't content with ruining its economy with Brexit and is also considering ruining its technology with the Online Safety Bill, and a terrifying toxic new Dust Bowl is descending on Utah.

It's poised to “change our world.” That's according to Bill Gates, referencing an advanced AI chatbot called ChatGPT, which seems to be all the rage. The tool, which was developed by OpenAI and backed by a company Gates founded, Microsoft, effectively takes questions from users and produces human-like responses. The "GPT" stands "Generative Pre-trained Transformer," which denotes the design and nature of the artificial intelligence training. And yet despite the chatbot's swelling popularity, it's also not without controversy. Everything from privacy and ethical questions to growing concerns about the data it utilizes, has some concerned about the effects it will ultimately have on society. Its detractors fear job loss, a rise in disinformation, and even the compromising long-term effects it could have on humans' capacity for reason and writing. Its advocates tout the advantages ChatGPT will inevitably lend organizations, its versatility and iterative ability, and the depth and diversity of the data from which it pulls. Against this backdrop, we debate the following question: Will ChatGPT do more harm than good?  Arguing "Yes" is Gary Marcus (Author of "Rebooting AI: Building Artificial Intelligence We Can Trust" and Professor Emeritus of Psychology and Neural Science at New York University) Arguing "No" is Keith Teare (Entrepreneur, Author, and CEO & Founder at SignalRank Corporation) Emmy award-winning journalist John Donvan moderates.  Take our podcast listener survey here: tinyurl.com/IQ2podcastsurvey Learn more about your ad choices. Visit megaphone.fm/adchoices

Carlota Perez is a researcher who has studied hype cycles for much of her career. She's affiliated with the University College London, the University of Sussex, The Tallinn University of Technology in Astonia and has worked with some influential organizations around technology and innovation. As a neo-Schumpeterian, she sees technology as a cornerstone of innovation. Her book Technological Revolutions and Financial Capital is a must-read for anyone who works in an industry that includes any of those four words, including revolutionaries.  Connecticut-based Gartner Research was founded by GideonGartner in 1979. He emigrated to the United States from Tel Aviv at three years old in 1938 and graduated in the 1956 class from MIT, where he got his Master's at the Sloan School of Management. He went on to work at the software company System Development Corporation (SDC), the US military defense industry, and IBM over the next 13 years before starting his first company. After that failed, he moved into analysis work and quickly became known as a top mind in the technology industry analysts. He often bucked the trends to pick winners and made banks, funds, and investors lots of money. He was able to parlay that into founding the Gartner Group in 1979.  Gartner hired senior people in different industry segments to aid in competitive intelligence, industry research, and of course, to help Wall Street. They wrote reports on industries, dove deeply into new technologies, and got to understand what we now call hype cycles in the ensuing decades. They now boast a few billion dollars in revenue per year and serve well over 10,000 customers in more than 100 countries.  Gartner has developed a number of tools to make it easier to take in the types of analysis they create. One is a Magic Quadrant, reports that identify leaders in categories of companies by a vision (or a completeness of vision to be more specific) and the ability to execute, which includes things like go-to-market activities, support, etc. They lump companies into a standard four-box as Leaders, Challengers, Visionaries, and Niche Players. There's certainly an observer effect and those they put in the top right of their four box often enjoy added growth as companies want to be with the most visionary and best when picking a tool. Another of Gartner's graphical design patterns to display technology advances is what they call the “hype cycle”. The hype cycle simplifies research from career academics like Perez into five phases.  * The first is the technology trigger, which is when a breakthrough is found and PoCs, or proof-of-concepts begin to emerge in the world that get press interested in the new technology. Sometimes the new technology isn't even usable, but shows promise.  * The second is the Peak of Inflated Expectations, when the press picks up the story and companies are born, capital invested, and a large number of projects around the new techology fail. * The third is the Trough of Disillusionment, where interest falls off after those failures. Some companies suceeded and can show real productivity, and they continue to get investment. * The fourth is the Slope of Enlightenment, where the go-to-market activities of the surviving companies (or even a new generation) begin to have real productivity gains. Every company or IT department now runs a pilot and expectations are lower, but now achievable. * The fifth is the Plateau of Productivity, when those pilots become deployments and purchase orders. The mainstream industries embrace the new technology and case studies prove the promised productivity increases. Provided there's enough market, companies now find success. There are issues with the hype cycle. Not all technologies will follow the cycle. The Gartner approach focuses on financials and productivity rather than true adoption. It involves a lot of guesswork around subjective, synthetical, and often unsystematic research. There's also the ever-resent observer effect. However, more often than not, the hype is seperated from the tech that can give organizations (and sometimes all of humanity) real productivity gains. Further, the term cycle denotes a series of events when it should in fact be cyclical as out of the end of the fifth phase a new cycle is born, or even a set of cycles if industries grow enough to diverge. ChatGPT is all over the news feeds these days, igniting yet another cycle in the cycles of AI hype that have been prevalent since the 1950s. The concept of computer intelligence dates back to the 1942 with Alan Turing and Isaac Asimov with “Runaround” where the three laws of robotics initially emerged from. By 1952 computers could play themselves in checkers and by 1955, Arthur Samuel had written a heuristic learning algorthm he called “temporal-difference learning” to play Chess. Academics around the world worked on similar projects and by 1956 John McCarthy introduced the term “artificial intelligence” when he gathered some of the top minds in the field together for the McCarthy workshop. They tinkered and a generation of researchers began to join them. By 1964, Joseph Weizenbaum's "ELIZA" debuted. ELIZA was a computer program that used early forms of natural language processing to run what they called a “DOCTOR” script that acted as a psychotherapist.  ELIZA was one of a few technologies that triggered the media to pick up AI in the second stage of the hype cycle. Others came into the industry and expectations soared, now predictably followed by dilsillusionment. Weizenbaum wrote a book called Computer Power and Human Reason: From Judgment to Calculation in 1976, in response to the critiques and some of the early successes were able to then go to wider markets as the fourth phase of the hype cycle began. ELIZA was seen by people who worked on similar software, including some games, for Apple, Atari, and Commodore.  Still, in the aftermath of ELIZA, the machine translation movement in AI had failed in the eyes of those who funded the attempts because going further required more than some fancy case statements. Another similar movement called connectionism, or mostly node-based artificial neural networks is widely seen as the impetus to deep learning. David Hunter Hubel and Torsten Nils Wiesel focused on the idea of convultional neural networks in human vision, which culminated in a 1968 paper called  "Receptive fields and functional architecture of monkey striate cortex.” That built on the original deep learning paper from Frank Rosenblatt of Cornell University called "Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms" in 1962 and work done behind the iron curtain by Alexey Ivakhnenko on learning algorithms in 1967. After early successes, though, connectionism - which when paired with machine learning would be called deep learning when Rina Dechter coined the term in 1986, went through a similar trough of disillusionment that kicked off in 1970. Funding for these projects shot up after the early successes and petered out ofter there wasn't much to show for them. Some had so much promise that former presidents can be seen in old photographs going through the models with the statiticians who were moving into computing. But organizations like DARPA would pull back funding, as seen with their speech recognition projects with Cargegie Mellon University in the early 1970s.  These hype cycles weren't just seen in the United States. The British applied mathemetician James Lighthill wrote a report for the British Science Research Council, which was published in 1973. The paper was called “Artificial Intelligence: A General Survey” and analyzed the progress made based on the amount of money spent on artificial intelligence programs. He found none of the research had resulted in any “major impact” in fields that the academics had undertaken. Much of the work had been done at the University of Edinbourgh and funding was drastically cut, based on his findings, for AI research around the UK. Turing, Von Neumann, McCarthy, and others had either intentially or not, set an expectation that became a check the academic research community just couldn't cash. For example, the New York Times claimed Rosenblatt's perceptron would let the US Navy build computers that could “walk, talk, see, write, reproduce itself, and be conscious of its existence” in the 1950s - a goal not likely to be achieved in the near future even seventy years later. Funding was cut in the US, the UK, and even in the USSR, or Union of the Soviet Socialist Republic. Yet many persisted. Languages like Lisp had become common in the late 1970s, after engineers like Richard Greenblatt helped to make McCarthy's ideas for computer languages a reality. The MIT AI Lab developed a Lisp Machine Project and as AI work was picked up at other schools like Stanford began to look for ways to buy commercially built computers ideal to be Lisp Machines. After the post-war spending, the idea that AI could become a more commercial endeavor was attractive to many. But after plenty of hype, the Lisp machine market never materialized. The next hype cycle had begun in 1983 when the US Department of Defense pumped a billion dollars into AI, but that spending was cancelled in 1987, just after the collapse of the Lisp machine market. Another AI winter was about to begin. Another trend that began in the 1950s but picked up steam in the 1980s was expert systems. These attempt to emulate the ways that humans make decisions. Some of this work came out of the Stanford Heuristic Programming Project, pioneered by Edward Feigenbaum. Some commercial companies took the mantle and after running into barriers with CPUs, by the 1980s those got fast enough. There were inflated expectations after great papers like Richard Karp's “Reducibility among Combinatorial Problems” out of UC Berkeley in 1972. Countries like Japan dumped hundreds of millions of dollars (or yen) into projects like “Fifth Generation Computer Systems” in 1982, a 10 year project to build up massively parallel computing systems. IBM spent around the same amount on their own projects. However, while these types of projects helped to improve computing, they didn't live up to the expectations and by the early 1990s funding was cut following commercial failures. By the mid-2000s, some of the researchers in AI began to use new terms, after generations of artificial intelligence projects led to subsequent AI winters. Yet research continued on, with varying degrees of funding. Organizations like DARPA began to use challenges rather than funding large projects in some cases. Over time, successes were found yet again. Google Translate, Google Image Search, IBM's Watson, AWS options for AI/ML, home voice assistants, and various machine learning projects in the open source world led to the start of yet another AI spring in the early 2010s. New chips have built-in machine learning cores and programming languages have frameworks and new technologies like Jupyter notebooks to help organize and train data sets. By 2006, academic works and open source projects had hit a turning point, this time quietly. The Association of Computer Linguistics was founded in 1962, initially as the Association for Machine Translation and Computational Linguistics (AMTCL). As with the ACM, they have a number of special interest groups that include natural language learning, machine translation, typology, natural language generation, and the list goes on. The 2006 proceedings on the Workshop of Statistical Machine Translation began a series of dozens of workshops attended by hundreds of papers and presenters. The academic work was then able to be consumed by all, inlcuding contributions to achieve English-to-German and Frnech tasks from 2014. Deep learning models spread and become more accessible - democratic if you will. RNNs, CNNs, DNNs, GANs.  Training data sets was still one of the most human intensive and slow aspects of machine learning. GANs, or Generative Adversarial Networks were one of those machine learning frameworks, initially designed by Ian Goodfellow and others in 2014. GANs use zero-sum game techniques from game theory to generate new data sets - a genrative model. This allowed for more unsupervised training of data. Now it was possible to get further, faster with AI.  This brings us into the current hype cycle. ChatGPT was launched in November of 2022 by OpenAI. OpenAI was founded as a non-profit in 2015 by Sam Altman (former cofounder of location-based social network app Loopt and former president of Y Combinator) and a cast of veritable all-stars in the startup world that included:  * Reid Hoffman, former Paypal COO, LinkedIn founder and venture capitalist. * Peter Thiel, former cofounder of Paypal and Palantir, as well as one of the top investors in Silicon Valley. * Jessica Livingston, founding partner at Y Combinator. * Greg Brockman, an AI researcher who had worked on projects at MIT and Harvard OpenAI spent the next few years as a non-profit and worked on GPT, or Generative Pre-trained Transformer autoregression models. GPT uses deep learning models to process human text and produce text that's more human than previous models. Not only is it capable of natural language processing but the generative pre-training of models has allowed it to take a lot of unlabeled text so people don't have to hand label weights, thus automated fine tuning of results. OpenAI dumped millions into public betas by 2016 and were ready to build products to take to market by 2019. That's when they switched from a non-profit to a for-profit. Microsoft pumped $1 billion into the company and they released DALL-E to produce generative images, which helped lead to a new generation of applications that could produce artwork on the fly. Then they released ChatGPT towards the end of 2022, which led to more media coverage and prognostication of world-changing technological breakthrough than most other hype cycles for any industry in recent memory. This, with GPT-4 to be released later in 2023. ChatGPT is most interesting through the lens of the hype cycle. There have been plenty of peaks and plateaus and valleys in artificial intelligence over the last 7+ decades. Most have been hyped up in the hallowed halls of academia and defense research. ChatGPT has hit mainstream media. The AI winter following each seems to be based on the reach of audience and depth of expectations. Science fiction continues to conflate expectations. Early prototypes that make it seem as though science fiction will be in our hands in a matter of weeks lead media to conjecture. The reckoning could be substantial. Meanwhile, projects like TinyML - with smaller potential impacts for each use but wider use cases, could become the real benefit to humanity beyond research, when it comes to everyday productivity gains. The moral of this story is as old as time. Control expectations. Undersell and overdeliver. That doesn't lead to massive valuations pumped up by hype cycles. Many CEOs and CFOs know that a jump in profits doesn't always mean the increase will continue. Some intentially slow expectations in their quarterly reports and calls with analysts. Those are the smart ones.

In this paper, we propose BioGPT, a domain-specific generative Transformer language model pre-trained on large-scale biomedical literature. We evaluate BioGPT on six biomedical natural language processing tasks and demonstrate that our model outperforms previous models on most tasks. Our case study on text generation further demonstrates the advantage of BioGPT on biomedical literature to generate fluent descriptions for biomedical terms. 2022: Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu Ranked #1 on Question Answering on PubMedQA https://arxiv.org/pdf/2210.10341v2.pdf

ChatGPT, the free chatbot released in November 2022 by artificial intelligence research company OpenAI, has taken the internet by storm. In its first months of existence, The “GPT” in ChatGPT refers to the “Generative Pre-training Transformer,” referring to the way that ChatGPT processes language. ChatGPT inspired users to imagine a host of use cases for the model, including using ChatGPT to negotiate parking tickets, make workout plans, and even create bedtime stories for children. Some artificial intelligence experts believe that ChatGPT could revolutionize both the way that humans interact with chatbots and AI more broadly. ChatGPT is an AI model that engages in conversational dialogue. It is an example of a chatbot, akin to the automated chat services found on some companies' customer service websites. It was developed by OpenAI, a tech research company dedicated to ensuring that artificial intelligence benefits all of humanity.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/4432332/advertisement

Kanarys, a Dallas, TX-based diversity, equity, inclusion, and belonging (DEIB) technology company, raised $5M in Series A funding. https://hrtechfeed.com/dei-platform-gets-5-million/ Upwork (NASDAQ: UPWK), the world's work marketplace, today announced a major expansion of its offerings, making full-time hiring available to all customers for the first time. A new end-to-end solution enables businesses of all sizes to find, vet, hire, onboard and pay highly skilled professionals for full-time work arrangements, without the complexity commonly associated with global hiring. https://hrtechfeed.com/upwork-expands-to-support-full-time-hiring/ hireEZ, the end-to-end outbound recruiting platform, today announced it will offer generative AI functionality in a product release slated for March 9. The update will leverage the Generative Pre-trained Transformer 3 (GPT-3) model and hireEZ's machine learning data to help recruiters compose and send email messages to job candidates faster than with traditional tools. https://hrtechfeed.com/hireez-announces-gpt3-feature-for-candidate-outreach/ Phenom, announced that Josh Bersin, analyst, author, educator and thought leader focusing on the global HR market, will be a keynote speaker at IAMPHENOM — the human resources conference for hiring, developing and retaining talent taking place March 28-30 in Philadelphia https://hrtechfeed.com/josh-bersin-joins-iamphenom-keynote-lineup/ Finally lets talk about indeed, i wrote a post this week on jobboardsecrets.com that talked about the problems they are having with their new PPA rollout, a loot of small biz customers are getting slammed with higher prices for resumes they dont want. https://www.jobboardsecrets.com/2023/02/14/indeeds-new-challenges/  

Oggi parleremo di Chat GPT, il software più rivoluzionario da quando Google ha stravolto il mondo della ricerca online. Una tecnologia cosi straodinaria che il 23 Gennaio del 2023 Microsoft ha annunciato un investimento da 10 miliardi di dollari in OpenAI l'azienda che ha sviluppato Chat GPT. Per scoprire di più di questa nuova tecnologia abbiamo invitato Luca Mastella, fondatore di Learnn, la piattaforma che attraverso corsi professionali permette a chiunque di sviluppare competenze in marketing, business e digital, Luca ha integrato Chat GPT nel suo tech stack e ci racconterà della sua esperienza, dalle opportunità che questa tecnologia gli sta offrendo ai problemi e i suoi attuali limiti. Tra l'altro se volete scoprire la storia di Luca e di come ha creato Learnn vi invito ad ascoltare l'episodio 63. Sono molto gasata di portarvi quest'intervista, in primis perché non mi ricordo di essere mai stata cosi entusiasta di una nuova tecnologia in vita mia, vi dico solo che ho utilizzato Chat GPT per preparare alcune delle domande di quest'episodio e ne sono rimasta sbalordita. Non vedo l'ora di farvi scoprire come Chat GPT sta rivoluzionando il mondo, ma prima di iniziare con le domande, cerco di spiegarvi brevemente e nella maniera piu semplice possibile cos'è Chat GPT. Chat GPT è un modello di lingua artificiale sviluppato da OpenAI. GPT sta per "Generative Pre-trained Transformer" che significa "Trasformatore Pre-addestrato Generativo". In sintesi, Chat GPT è stato addestrato su una grande quantità di testo e di informazioni su Internet in modo che possa generare risposte e testo in modo autonomo e simile a un essere umano. Questo rende Chat GPT uno strumento potente per molte applicazioni, come la chatbot e la generazione di contenuti. SPONSOR: Siete egoisti a tavola, feroci buongustai e ossessionati dalla pasta? Noi lo siamo, ed è proprio per questo che siamo felici di avere Pasta 1.61 come nostri sponsor. Come tante delle imprese che raccontiamo sul podcast la pasta 1.61 nasce da un problema: riuscire a fare una ottima pasta garantendo la massima digeribilità, un basso picco glicemico e una bontà insuperabile. Questa era la missione di Federico Menetto che voleva assicurarsi che le sue tre figlie, sensibili al glutine, potessero continuare a mangiare pasta. E noi diciamo: missione compiuta! Con l'aiuto di Raimondo Mendolia, un'autorità internazionale nel campo della pasta, hanno creato una pasta artigianale di grano duro italiano, trafilata in oro, davvero buonissima. E direi anche bellissima perché arriva in una confezione di design studiata da Angelo Inglese fatta con degli scampoli di tessuto di camicia di sartoria. Provatela andando su www.1punto61.store . Ordinatela usando il codice MADEIT per ricevere 20% di sconto e spese di spedizione gratuite, senza minimo ordine. SOCIAL MEDIA Se vi piace il podcast, il modo migliore per dircelo o per darci un feedback (e quello che ci aiuta di più a farlo diffondere) è semplicemente lasciare una recensione a 5 stelle o un commento su Spotify o l'app di Apple Podcast. Ci ha aiuta davvero tantissimo, quindi non esitate :) Se volete farci delle domande o seguirci, potete farlo qui: Sur Instagram @madeit.podcast Sur LinkedIn @madeitpodcast Per non perdere nessun episodio iscrivetevi al canale Telegram creato da Simone Cecconi (un nostro fedele ascoltatore): https://t.me/made_it_podcast_bot

Generative Pre-trained Transformer 3, conocida por sus siglas (GPT-3), es un modelo de lenguaje autorregresivo que emplea aprendizaje profundo para producir textos que simulan la redacción humana. Es la tercera generación de los modelos de predicción de lenguaje perteneciente a la serie GPT, creados por OpenAI, un laboratorio de investigación de inteligencia artificial con sede en San Francisco. La versión completa de GPT-3 tiene una capacidad de 175.000 millones de parámetros de aprendizaje automatizado.

ChatGPT is a Generative Pre-trained Transformer, and has people buzzing about the future impact it may have on the digital marketing industry. This episode explores the new platform and discusses some ways ChatGPT could be helpful to your digital strategy. Looking for more tips or how we can help your advertising strategy? Contact us at info@morevisibility.com. 

ChatGPT – zašto o njemu svi govore! GPT je skraćenica za Generative Pre-trained Transformer ili recimo to ovako: to je umjetna inteligencija koja je „uvježbana“ da odgovara, navodno, na sva pitanja. Može pisati dopise, songove, poeziju, domaće zadaće... Može i na engleskom, njemačkom, ali i na hrvatskom, srpskom, bosanskom i drugim jezicima. Mnogi su oduševljeni i hvale taj novi digitalni alat, dok su drugi skeptični i u njemu vide opasnosti. Kome ili čemu ChatGPT može štetiti, kome koristiti? Von Amir Kamber.

There are many speculations about the future of artificial intelligence (AI), and in this episode, we hear the opinions and predictions of a player in the inner folds of the AI space. Naveen Rao is the CEO and Co-Founder of the machine learning (ML) training platform, MosaicML, and the former CEO and Co-Founder of Nervana Systems. Naveen shares insight into the thesis behind Mosaic and the practical applications of Large Language Models (LLMs), as well as the Generative Pre-trained Transformer-2 (GPT-2) to GPT-3 transition and the challenge of training models with the constraint of data limits. He predicts the evolution of AI models in terms of quantity, size, and function, and the future of computers in general. If you're curious as to whether it makes sense to build smaller models or own your own model, this episode is for you. Tune in to hear Naveen's opinions on the impact of AI on the economy, the danger of centralizing resources, what constitutes sentience, and much more. “What we're doing at Mosaic is building tools to enable more people to have access to these technologies. When it's all centralized in one or two or three players, that creates a huge power dynamic.” — @NaveenGRao Key Points From This Episode: Naveen Rao's educational background and interest in synthetic intelligence. What led him to start his first AI company, Nervana Systems. The thesis behind MosaicML. What MosaicML offers customers. What Naveen considers to be 2022's most exciting breakthrough in AI. The innovation of ChatGPT. The GPT-2 to GPT-3 transition. The challenge of training models with the constraint of data limits. Naveen explains the concept of synthetic data. He predicts the evolution of AI models in terms of quantity, size, and function. Why it makes sense to build smaller models and own your own model where possible. Data as a moat component. Practical applications of LLMs. Naveen's opinion on whether AI will disrupt the economy or increase Gross Domestic Product (GDP). The danger of the centralization of resources. How MosaicML is making trading more efficient given the limits AI is facing. The efficiency improvements MosaicML customers are seeking out. Naveen's prediction for the rate of cost decline. The history of the computer password. The future of computers. The question of what constitutes sentience. Naveen recounts the acquisition process of selling Nervana Systems to Intel. How the innovator's dilemma will play out among competitors in the AI space. Naveen's advice for his past self.

Chat GPT è un servizio di chat basato su un algoritmo di Intelligenza artificiale. E' l'acronimo di Generative Pre-trained Transformer, ovvero la capacità di generare una trasformazione partendo da un contenuto che possiede. Si tratta di una chat a cui si può chiedere letteralmente qualsiasi cosa e in qualsiasi lingua. Può essere utilizzata in qualsiasi campo e senza limiti. Possiamo immaginarlo come un super esperto con cui possiamo dialogare e da cui riceveremo non solo risposte, ma anche pareri sui più diversi temi. Quello che più sorprende è la pertinenza delle risposte. E' stato fatto un grande lavoro di contenimento etico sul suo perimetro di azione. Come un'azienda può utilizzarla per trarne vantaggio? Ci sono già molti modi, ascolta la puntata integrale del nostro Podcast per scoprire quali sono. Se con questa puntata abbiamo stimolato la tua curiosità, scrivici a podcast@websolute.it o faccelo sapere nei commenti. Ti aspettiamo!

ディープラーニングを使い倒しているカイワレさんから、最新のAI画像生成、AIによる公告、ChatGPTのヤバさ、AI視点で考えるヒトらしさについて語っていただきました。 【ゲスト】 機械学習エンジニア・ポッドキャスター カイワレ さん(https://twitter.com/obake_kaiware) ブックメン 本の紹介と感想共有を軽めに行う読書会風Podcast まずはココロカラダ！ ココロとカラダについてお話するポッドキャスト番組 【トピック】 ・画像生成AI ・画像例Tweet ▶AIが考えるおふくろ ▶強風に吹かれるポメラニアン ▶雲をつきやぶるゴールデンハムスター ▶北斎風の祈りをささげる巫女 ▶おもちゃのクトゥルフの断面図 ・Stable diffusion ・AI作品の著作権 ・iCADs ・GPT-3 (Generative Pre-trained Transformer 3) ・サイエンマニアのキャッチコピーをAIに考えてもらった ・AIが考える博士課程進学 ・技術的特異点をChatGPTに聴いてみた。 ・オススメ書籍 天冥の標 ・AI同士の農薬議論 【Twitter】 #サイエンマニア で感想お待ちしてます！番組情報も更新中。 【公式サイト】 番組へのおたよりやプロフィールはこちらから→ https://scientalkclub.wixsite.com/scienmania おたよりはメールでも募集しています。 scientalkclub@gmail.com 毎週月曜日配信。ポッドキャストのフォローやレビューいただけると嬉しいです。 【サイエンマニアについて】 あらゆる分野のゲストを招き、サイエンスの話題を中心にディープでマニアな話を届けるポッドキャスト。 研究に夢中な大学院生や趣味を突き詰めている方まで、好きな事を好きなだけ語りたい人が集まる番組です。 第3回 Japan Podcast Awards 2021 推薦作品 【プロフィール】 研究者レン from サイエントーク 化学と生命科学が専門のおしゃべり好き研究者。サイエンスをエンタメっぽく発信するために様々な形で活動中。ポッドキャスト「サイエントーク」ではOLエマと共に番組を制作中。 Twitter: https://twitter.com/REN_SciEnTALK Note: https://note.com/ren_scientalk/ 【サイエントーク】 おしゃべりな研究者レンと普通のOLエマが科学をエンタメっぽく語るポッドキャスト番組です。 人類の科学の歩みと2人の人生を重ね合わせるシリーズ「科学史と人生史」を更新中。 https://scientalkclub.wixsite.com/scientalk 【BGM】 DOVA-SYNDROME

It's the "UK Matters in Accounting" show, usually going out every Friday to 150 countries and 30,000 accounting practitioners, fintech specialists and influencers in the accountancy, CPA and bookkeeping space. However, in Jan 2023 we are phasing out this show and putting out this content on our sister Success in Accounting Show which hopefully you're already subscribed to.In today's episode 28, "The Full Impact of Chat GPT and AI in Accounting"Here is the transcript for this show, generated by Chat GPT with some smart AI prompting questions:Hello, and welcome to the podcast. In this episode, we will be discussing the impact of Chat GPT, or Generative Pre-training Transformer, on the world of accountants and CPAs.First, let's define Chat GPT. It's a machine learning model developed by OpenAI that is able to generate human-like text and can be used to assist accountants and CPAs in a variety of tasks.But how did Chat GPT come about, and why is it making waves in so many industries? Chat GPT was developed by OpenAI, a leading artificial intelligence research lab, as a way to improve natural language processing. It builds upon the concept of pre-training, which involves training a model on a large dataset to recognize patterns and relationships in language. By pre-training a model on a massive amount of text data, it can then be fine-tuned for specific tasks, such as translation or language generation.The development of Chat GPT marked a significant step forward in the field of natural language processing and has led to its widespread adoption in a variety of industries.Now, let's dive into how Chat GPT can help accountants and CPAs.One way it can assist is by generating reports and documents. Imagine having to create a financial report for a client. This can be a time-consuming and tedious task, but with Chat GPT, you can simply input the necessary data and let the model do the rest. It will generate a professional, accurate report in a fraction of the time it would take a human.Another way Chat GPT can be useful is by providing data analysis. It can be trained to analyze financial data and provide insights and recommendations based on that analysis. This can be especially helpful for accountants and CPAs who are looking to make informed decisions for their clients.Chat GPT can also be used to automate routine tasks, such as data entry and reconciliation. This can free up time for accountants and CPAs to focus on more complex tasks, improving efficiency and productivity.Finally, Chat GPT can even be used to provide customer service. It can handle basic customer inquiries and provide information to clients, allowing accountants and CPAs to focus on more complex tasks.So, as you can see, Chat GPT has the potential to significantly streamline processes and improve efficiency for accountants and CPAs. But what about the potential drawbacks? Some disadvantages of using Chat GPT include the initial setup and training, which can be time-consuming and costly. Additionally, Chat GPT is still limited in its capabilities and may not be able to handle more complex tasks. Finally, using Chat GPT may create a reliance on technology, and if there are issues with the system, it could disrupt work and cause delays.Now, let's take a look at some statistics to give you an idea of the potential impact Chat GPT could have on your practice and your clients: According to a recent survey, over 70% of accountants andCPAs believe that machine learning will significantly change the way they do business in the next 5 years.Another study found that the use of artificial intelligence in accounting could save up to 400 million hours of manual data entry per year. One company that implemented Chat GPT saw a 25% increase in productivity and a 10% reduction in errors.These statistics show that Chat GPT has the potential to significantly impact the

Im heutigen COFFEETALK sprechen Florian vom @Geldschnurrbart und Alexander Weipprecht vom @Kryptomagazin in 20 Minuten über das Thema "Chat GPT". Wir freuen uns auf eure Ideen für das Format. Chat GPT ist eine von OpenAI entwickelte Technologie, die es ermöglicht, Chatbots zu erstellen, die menschenähnliche Konversationen führen können. Dabei basiert Chat GPT auf dem Konzept des Generative Pre-training Transformer (GPT), einem neuronale Netzwerk-Modell, das in der Lage ist, menschenähnliche Texte zu generieren. Um Chat GPT zu verwenden, wird zunächst eine Datenbank mit Beispiel-Konversationen erstellt, die dem Chatbot als Vorlage dienen. Anschließend kann der Chatbot auf dieser Datenbasis lernen und in der Lage sein, selbstständig neue Konversationen zu führen. Chat GPT kann in vielen Bereichen eingesetzt werden, zum Beispiel als Kundensupport-Chatbot, als Unterhaltungs-Chatbot oder als Hilfe-Chatbot für Online-Spiele. #ChatGPT #KI #OpenAI Jede Folge kommt immer abwechseln auf dem Kryptomagazin und dem Geldschnurrbart YouTube Kanal. Links: ==================================== ChatGPT kostenlos nutzen: https://chat.openai.com/ Geldschnurrbart YouTube: https://www.youtube.com/c/Geldschnurrbart Krypto Magazin YouTube: https://www.youtube.com/c/KryptoMagazin

It's the "Best Practice in Accounting" show, usually going out every Thurs to 150 countries and 30,000 accounting practitioners, fintech specialists and influencers in the accountancy, CPA and bookkeeping space. However, in Jan 2023 we are phasing out this show and putting out this content on our sister Success in Accounting Show which hopefully you're already subscribed to.In today's episode 28, "The Full Impact of ChatGPT and AI in Accounting"Here is the transcript for this show, generated by ChatGPT with some smart AI prompting questions:Hello, and welcome to the podcast. In this episode, we will be discussing the impact of ChatGPT, or Generative Pre-training Transformer, on the world of accountants and CPAs.First, let's define ChatGPT. It's a machine learning model developed by OpenAI that is able to generate human-like text and can be used to assist accountants and CPAs in a variety of tasks.But how did ChatGPT come about, and why is it making waves in so many industries? ChatGPT was developed by OpenAI, a leading artificial intelligence research lab, as a way to improve natural language processing. It builds upon the concept of pre-training, which involves training a model on a large dataset to recognize patterns and relationships in language. By pre-training a model on a massive amount of text data, it can then be fine-tuned for specific tasks, such as translation or language generation.The development of ChatGPT marked a significant step forward in the field of natural language processing and has led to its widespread adoption in a variety of industries.Now, let's dive into how ChatGPT can help accountants and CPAs.One way it can assist is by generating reports and documents. Imagine having to create a financial report for a client. This can be a time-consuming and tedious task, but with ChatGPT, you can simply input the necessary data and let the model do the rest. It will generate a professional, accurate report in a fraction of the time it would take a human.Another way ChatGPT can be useful is by providing data analysis. It can be trained to analyze financial data and provide insights and recommendations based on that analysis. This can be especially helpful for accountants and CPAs who are looking to make informed decisions for their clients.ChatGPT can also be used to automate routine tasks, such as data entry and reconciliation. This can free up time for accountants and CPAs to focus on more complex tasks, improving efficiency and productivity.Finally, ChatGPT can even be used to provide customer service. It can handle basic customer inquiries and provide information to clients, allowing accountants and CPAs to focus on more complex tasks.So, as you can see, ChatGPT has the potential to significantly streamline processes and improve efficiency for accountants and CPAs. But what about the potential drawbacks? Some disadvantages of using ChatGPT include the initial setup and training, which can be time-consuming and costly. Additionally, ChatGPT is still limited in its capabilities and may not be able to handle more complex tasks. Finally, using ChatGPT may create a reliance on technology, and if there are issues with the system, it could disrupt work and cause delays.Now, let's take a look at some statistics to give you an idea of the potential impact ChatGPT could have on your practice and your clients: According to a recent survey, over 70% of accountants and CPAs believe that machine learning will significantly change the way they do business in the next 5 years.Another study found that the use of artificial intelligence in accounting could save up to 400 million hours of manual data entry per year. One company that implemented Chat GPT saw a 25% increase in productivity and a 10% reduction in errors.These statistics show that ChatGPT has the potential to significantly impact the world of accountants...

Sign up for the 4-day Chat GPT Live Training here: https://peterpru.com/chat-gpt-live-training-sign-upGPT, or Generative Pre-training Transformer, is a powerful artificial intelligence tool that can generate human-like text based on a given prompt. Chat GPT prompts are specific instructions that are used to guide the AI in generating text for various marketing purposes.Having chat GPT at your disposal is like having an entire marketing team in one portal. It can write ads, create social media content, conduct customer research, and much more. With chat GPT, you can quickly and easily generate high-quality marketing materials, saving you time and resources.In addition, chat GPT can help you gather valuable data and insights about your target audience, such as their pain points and needs. This information can be used to improve your marketing strategy and better target your campaigns.Overall, chat GPT is a powerful tool for anyone looking to streamline their marketing efforts and improve their results. Thanks for watching!▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Get The Best Selling Book ‘Ecommerce Empire' For FREE: https://ecommerceempirebuilders.com/book WATCH NOW 7-Figure Ecom Masterclass: http://bit.ly/funnel-class-yt Have Us Build & Launch Your Entire Ecommerce Business: https://bit.ly/BuildMyFunnel-YT FREE Empire Builder Bonuses: https://youtu.be/QknqB0dpDKc Sign Up For StoreFunnels (Website+Funnel Builder): https://www.storefunnels.net▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Denne gang finder vi lige ud af, hvordan kunstig intelligens kan tænkes at lave om på vidensformidling, journalistik og verden i det hele taget. Medvirkende:  Mikkel Andersson Morten Okkels (Undervejs roder vi lidt med, hvad GPT i ChatGPT står for. Dette er naturligvis en tilsigtet menneskelig fejl så lytteren kan være sikre på, at den nye direktør endnu ikke har erstattet det redaktionelle personale med robotter. GPT står for Generative Pre-trained Transformer.  Her er den seneste måling fra Voxmeter, som vi nævner i starten – og her er omtalen af en journalistisk robot, der blev en sag for det norske pressenævn.)

It's the "Insights in Accounting" show, usually going out every Tuesday to 150 countries and 30,000 accounting practitioners, fintech specialists and influencers in the accountancy, CPA and bookkeeping space. However, in Jan 2023 we are phasing out this show and putting out this content on our sister Success in Accounting Show which hopefully you're already subscribed to. In today's episode 28, "The Full Impact of Chat GPT and AI in Accounting"Here is the transcript for this show, generated by Chat GPT with some smart AI prompting questions:Hello, and welcome to the podcast. In this episode, we will be discussing the impact of Chat GPT, or Generative Pre-training Transformer, on the world of accountants and CPAs. First, let's define Chat GPT. It's a machine learning model developed by OpenAI that is able to generate human-like text and can be used to assist accountants and CPAs in a variety of tasks. But how did Chat GPT come about, and why is it making waves in so many industries? Chat GPT was developed by OpenAI, a leading artificial intelligence research lab, as a way to improve natural language processing. It builds upon the concept of pre-training, which involves training a model on a large dataset to recognize patterns and relationships in language. By pre-training a model on a massive amount of text data, it can then be fine-tuned for specific tasks, such as translation or language generation. The development of Chat GPT marked a significant step forward in the field of natural language processing and has led to its widespread adoption in a variety of industries. Now, let's dive into how Chat GPT can help accountants and CPAs.One way it can assist is by generating reports and documents. Imagine having to create a financial report for a client. This can be a time-consuming and tedious task, but with Chat GPT, you can simply input the necessary data and let the model do the rest. It will generate a professional, accurate report in a fraction of the time it would take a human. Another way Chat GPT can be useful is by providing data analysis. It can be trained to analyze financial data and provide insights and recommendations based on that analysis. This can be especially helpful for accountants and CPAs who are looking to make informed decisions for their clients. Chat GPT can also be used to automate routine tasks, such as data entry and reconciliation. This can free up time for accountants and CPAs to focus on more complex tasks, improving efficiency and productivity.Finally, Chat GPT can even be used to provide customer service. It can handle basic customer inquiries and provide information to clients, allowing accountants and CPAs to focus on more complex tasks. So, as you can see, Chat GPT has the potential to significantly streamline processes and improve efficiency for accountants and CPAs. But what about the potential drawbacks? Some disadvantages of using Chat GPT include the initial setup and training, which can be time-consuming and costly. Additionally, Chat GPT is still limited in its capabilities and may not be able to handle more complex tasks. Finally, using Chat GPT may create a reliance on technology, and if there are issues with the system, it could disrupt work and cause delays. Now, let's take a look at some statistics to give you an idea of the potential impact Chat GPT could have on your practice and your clients:According to a recent survey, over 70% of accountants and CPAs believe that machine learning will significantly change the way they do business in the next 5 years.Another study found that the use of artificial intelligence in accounting could save up to 400 million hours of manual data entry per year. One company that implemented Chat GPT saw a 25% increase in productivity and a 10% reduction in errors. These statistics show that Chat GPT has...

Какво предстои според футурологията Основна характеристика на бъдещето е свързана с функцията му да ни изненадва. Но за да можем да го приемем подготвени, а в най-добрия случай - да участваме качествено в неговото създаване - на помощ идват експертите футуролози. Чрез тях можем да си въобразим правдоподобни сценарии за бъдещето. Техните предположения идват на базата на научни данни, но са и логико-интуитивни, каквито са тезите на всички добри прогнозисти. В първия за 2023 година епизод на подкаста “Trendy” - говори Мариана Тодорова, футуролог от Българската академия на науките. Чуйте интересния подкаст! Първият голям тренд, който отбелязва Тодорова е навлизането на изкуствения интелект масово и все по-активно в живота ни. “Голямата сензация между 2022 и 2023 е отворения изкуствен интелект, който вече е наличен за разговори с хора, включително на български език” - казва тя. Open AI и GPT-3 - Generative Pre-trained Transformer 3 - авторегресивен езиков модел, който използва задълбочено обучение, за да създаде човешки текст. Основен въпрос след навлизането му е може ли OpenAI-GPT-3 да замени Уикипедия и Гугъл, журналисти, които създават информационно съдържание или пък работниците в кол-центровете или застрахователите? Вторият голям тренд е развитието на метавселената. Глобалните образователни модели, например, вече се променят. Образователни институции започват обучения на студенти от целия свят в споделено работно пространство. Друг важен и перспективен аспект на съвременността ни, който Тодорова наблюдава е това блокчейн технологиите да се използват за проследяване на фалшиви новини. В подкаста се засягат и други важни теми като войната в Украйна, управлението на социалните мрежи, влиянието на технологиите върху живота ни. Също, въпроси като: Кой е най-сигурният начин човек да бъде щастлив според OpenAI-GPT-3? Как автомобилните компании ще използват интернет на нещата? Как намесата в човешкия геном ще ни променя? Защо доверието е най-важната валута на нашето време? Може ли изкуствения интелект да преживява и да осмисля?

Are you looking for ways to make money online? Chat GPT, or Generative Pre-trained Transformer is a powerful tool that can help you start and grow a successful business. In this video, we will explore how people use Chat GPT to generate ideas, create content, and drive sales. From e-commerce to affiliate marketing, there are endless opportunities to earn an income using this revolutionary technology. So if you're ready to take your online business to the next level, be sure to watch this video and learn how Chat GPT can help you achieve your goals.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Get The Best Selling Book ‘Ecommerce Empire' For FREE: https://ecommerceempirebuilders.com/book WATCH NOW 7-Figure Ecom Masterclass: http://bit.ly/funnel-class-yt Have Us Build & Launch Your Entire Ecommerce Business: https://bit.ly/BuildMyFunnel-YT FREE Empire Builder Bonuses: https://youtu.be/QknqB0dpDKc Sign Up For StoreFunnels (Website+Funnel Builder): https://www.storefunnels.net▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

I speak again with my friend, Maroof Farooq, an AI engineer at Nvidia. [Note: Maroof's views are his own, and not that of his employer.]  We discuss a breakthrough in natural language processing AI called GPT3 created by the research lab, OpenAI. This episode was recorded prior to the launch of ChatGPT (chatbot built on top of GPT-3) and is a good introduction on how GPT works under the hood. We dive into supervised vs. unsupervised learning, what GPT3 stands for (spoiler alert: Generative Pre-trained Transformer), what the heck those words mean, and how GPT3 can impersonate famous people like Isaac Asimov, Isaac Newton, the Hulk (yeah, the buff, green superhero), and someday… YOU! Please enjoy this episode. We laugh. We cry. We iterate.Check out what THE MACHINES and one human say about the Super Prompt podcast:“I'm afraid I can't do that.” — HAL9000“These are not the droids you are looking for." — Obi-Wan“Like tears in rain.” — Roy Batty“Hasta la vista baby.” — T1000"I'm sorry, but I do not have information after my last knowledge update in January 2022." — GPT3

You won't believe how beneficial this technology could be for you, regardless of industry! Introducing “Chat GPT” - here to change the world as we know it forever. In this episode of Bag Talk, we discuss the benefits of Chat GPT and show you a variety of ways it can help you in numerous areas of your life. GPT, or Generative Pre-trained Transformer, is a state-of-the-art language generation model developed by OpenAI. It has revolutionized how we interact with chatbots and has numerous benefits for businesses and individuals. Check this video out to see how amazing this technology really is! OUR SOCIAL MEDIA:

As 2022 draws to a close, the chat AI based on GPT-3 (Generative Pre-trained Transformer 3) has been taking the internet by storm, with millions of users beginning to ask it questions. Is humanity on the way to birthing a true artificial general intelligence (AGI)? I asked GPT-3 that particular question, and this was the answer: It is difficult to say for certain whether or not humanity is on the way to creating a true artificial general intelligence, as there is no clear consensus on what exactly a true AGI would be or what it would be capable of. However, it is clear that significant progress has been made in the field of artificial intelligence, and many experts believe that it is only a matter of time before we see AGI-level capabilities in machines. That being said, it is also important to note that the development of AGI is a highly complex and uncertain field, and it is impossible to predict exactly when, or even if, it will be achieved. Whether GPT-3 is truly intelligent, it's clearly just the beginning. At least according to this week's returning guest on Unsupervised Learning, Nikolai Yakovenko of Deep NFT Value, a machine-learning engineer who just last month took time to discuss what was going on at his old employer, Twitter. Yakovenko is not entirely surprised by GPT-3's abilities, though he admits progress is faster than expected. He tells Razib that there are more advanced versions of GPT-3, and Americans must brace themselves for a new technological revolution. He believes Westerners, in particular, due to their religious and metaphysical frame are unprepared for the changes that AI may produce in our society. Yakovenko rejects the most dystopian and negative predictions of hostile AI and singularity and argues that the Japanese are a model of a culture that is more sanguine about the emergence of human-like machine intelligence. Razib and Yakovenko also discuss the utility of AI-generated art and how it might replace or complement human artists.

ChatGPT  st, was allgemein hin als ein künstliches neuronales Netz bezeichnet wird. Menschen können über eine Chatfunktion mit dieser Künstlichen Intelligenz frei interagieren und erleben, inwieweit ein recht "flüssiges" und durchaus informatives Gespräch zustande kommt. GPT ist die Abkürzung für „Generative Pre-trained Transformer“.  ChatGPT ist es "selbst" wichtig zu betonen, das es ein großes Sprachmodell ist, das von OpenAI trainiert wurde, um Text in verschiedenen Sprachen zu verstehen und zu generieren. Die Hauptaufgabe bestehe darin, auf Text(an)fragen zu antworten, um Benutzern Informationen und Unterhaltung zu bieten. Es habe keine persönlichen Erfahrungen oder Meinungen, sondern basiere auf dem Text, auf den es trainiert wurde. ChatGPT sei nicht in der Lage, im Internet zu surfen oder andere Medien wie Fernsehshows oder Filme zu konsumieren, sondern kann nur auf den Text zugreifen, auf den es trainiert wurde. Ziel ist es, Benutzern zu helfen, indem schnelle, präzise und hilfreiche Antworten auf Fragen geliefert werden. Das Interview mit ChatGPT wird - hier im Interview - unterstützt von SIRI, dem Sprachassistenten von Apple, der den Text vorliest.

In this video, you'll learn how to use Chat GPT (short for "Generative Pre-training Transformer") to quickly and easily create compelling copy for your ecommerce dropshipping business.First, we'll cover what Chat GPT is and how it works. Chat GPT is a powerful language generation model that uses machine learning algorithms to generate human-like text. It's trained on a massive dataset of text, so it's able to generate text that sounds natural and is easy to read.Next, we'll walk through the steps of using Chat GPT to write copy for your ecommerce dropshipping business. We'll start by inputting some basic information about the product you're selling, such as its features and benefits. Chat GPT will then use this information to generate a range of different options for your product's copy, allowing you to choose the one that best fits your needs.Finally, we'll show you how to fine-tune the generated copy to make it even more effective. This includes adding your own unique voice and style, as well as incorporating any additional information or calls to action that you want to include.By the end of this video, you'll have all the tools you need to use Chat GPT to write amazing ecommerce dropshipping copy in minutes! So if you're looking to save time and effort on your copywriting, be sure to watch this video from start to finish.▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Get The Best Selling Book ‘Ecommerce Empire' For FREE: https://ecommerceempirebuilders.com/book WATCH NOW 7-Figure Ecom Masterclass: http://bit.ly/funnel-class-yt Have Us Build & Launch Your Entire Ecommerce Business: https://bit.ly/BuildMyFunnel-YT FREE Empire Builder Bonuses: https://youtu.be/QknqB0dpDKc Sign Up For StoreFunnels (Website+Funnel Builder): https://www.storefunnels.net▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

"ChatGPT ist ein Chatbot, der auf GPT-3 (Generative Pre-trained Transformer 3), einem sehr mächtigen maschinellen Lernmodell, aufbaut und in der Lage ist, menschenähnliche Unterhaltungen zu führen. Er kann Fragen beantworten, Geschichten erzählen und sogar Witze machen." So beschreibt ChatGPT sich selbst in aller Kürze. Wir erklären, was ChatGPT ist, was der Chatbot kann, was er nicht kann, wo die Möglichkeiten und auch die Gefahren liegen. Und wir probieren es aus. Viel Spaß beim Hören.

On the Analytic Mind Podcast, Sam McKay invited Brian Julius, the Chief Content Officer of Enterprise DNA, to discuss ChatGPT, a promising new tool that could revolutionize data analytics. They shared their initial thoughts on ChatGPT and its potential to enhance careers in the field, rather than pose a threat. ChatGPT, short for "Generative Pre-trained Transformer 3," is an OpenAI language generation model that uses machine learning to generate human-like text. While it is not specifically related to Power BI, it could potentially improve certain aspects of Power BI workflows or development. What You Will Learn Why Chat GPT is not a threat to your Data Analysis career, but an enabling tool. Open AI's potential to upend Google's dominance. Insights on the recent Power BI Updates and Features A sneak peek at what Enterprise DNA has in store Resources Mentioned Chat GPT - https://openai.com/blog/chatgpt/ DALL·E 2 - OpenAI - https://openai.com/dall-e-2/ The use of advanced language generation models like GPT-3 in data analytics could increase the efficiency and effectiveness of Power BI processes, as well as enhance the skills and career prospects of data analysts. However, it is important to note that GPT-3 and similar models are still in the early stages of development and may not always be reliable or accurate. It is therefore essential to exercise caution and judgment when using these tools, and to thoroughly validate and verify any results or insights they generate. For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/ Connect with me: Brian Julius LinkedIn: https://www.linkedin.com/in/brianjuliusdc/ Blog: https://blog.enterprisedna.co/author/brian-julius/ Sam McKay Website: https://www.enterprisedna.co/ LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/ Loved this episode? Leave us a review and rating here: https://podcasts.apple.com/us/podcast/the-analytic-mind/id1541066997

“In 2023, Chat GPT, DallE, and the metaverse are revolutionizing the way we communicate and interact with each other and with technology. Chat GPT, or the Generative Pre-trained Transformer, is a state-of-the-art natural language processing...

Der Leistungsstarker Sprachgenerator wurde nun der Öffentlichkeit zugänglich gemacht. GPT3 stammt von Open AI und es handelt sich um ein neuronales Netzwerk, das auf einem Deep-Learning-Modell basiert.

GPT-3 moteur de génération de contenus par AI. GPT-3 signifie Generative Pre-trained Transformer version 3 The post Comment fonctionne le générateur de texte GPT-3 first appeared on XY Magazine.

Welcome back to another episode of Made You Think! In this episode, Neil, Nat, and Adil give you a full 70 minutes doing what they do best: Going on tangents. Originally set to continue with the next book on their Great Books Project, the energy and caffeine took over as they dive into a variety of interesting discussions, stories, and ideas. This is an episode you don't want to miss! We cover a wide range of topics including: Our favorite virtual reality video games and table games How new leadership at Twitter has impacted the app recently The strengths and limits of GPT-3 Preventing burnout in longer-term or creative projects Being under-employed (on purpose) And much more. Please enjoy, and make sure to follow Nat, Neil, and Adil on Twitter and share your thoughts on the episode. Links from the Episode: Mentioned in the show: FTX (0:26) SuperHot (2:07) Satisfactory (4:54) Terraforming Mars (9:18) Catan (9:34) Klask (10:27) 7 Wonders (11:38) Monopoly Deal (12:11) Epic Gardening (17:12) FAMA (30:05) Tweet Deleter (33:21) Twitter employees quit in droves (37:33) Github (50:39) LEX AI (59:38) GPT-3 (1:00:33) All-In Podcast (1:09:15) Books Mentioned: Tao Te Ching (0:03) (Nat's Book Notes) Enders Game (7:12) The Pathless Path (21:51) People Mentioned: Elon Musk (9:22) Kevin Espiritu (17:18)  Paul Millerd (21:50) Marc Andreessen (31:53) Show Topics: (1:44) “Should we talk about the book?” This question answers itself as Nat, Neil, and Adil dive into conversations about their favorite virtual reality video games and board games, as well.  (7:05) A lot of games out there actually help you develop business and life skills. Although video games encourage high amounts of screen time, there is a lot of skills you can learn from them. There are also physical board games representative of the real world but with some fictional elements to it, making it very appealing and educational.  (14:22) It was at this point that the co-hosts decided they're too full of tangents to do a book episode. Nat, Neil, and Adil go back to talking about board games and the fun of strategic games. (18:00) Preventing burnout in longer-term projects. You can't be on all the time. Creative work is also hard to do for extended periods of time because it can be limited by your energy and mental output. We may even have certain parts of the month or year where we're extra productive and wonder why we can't always be that way, but it's important to remember that resting is just as important as being productive. (21:48) The idea of being under-employed purposely. If you've worked for a larger company or consultancy, you often have the feeling that you always have to be "on". When you work for yourself, it's easy to fall back into the thought pattern that you have to be working all the time. (28:26) Social media and podcast presence while also having a job. There are now ways for employers to check the online behaviors of their employment candidates and screen them using AI-powered tools. (34:01) Some educational or funny content we save or bookmark for later tend to get lost in our library of likes. Platforms should create a better system for organizing and saving likes and bookmarks so they can be useful when you need to visit them again. (37:31) The mass quitting and letting go of employees at Twitter. Workplaces that are solely digital and how it compares to companies with a real-world product. The margins are very tight in retail and operating expenses have to be considered. Can these big tech companies run with only a small percentage of their workforce? (43:03) The operating expenses of Twitter and how the new leadership has impacted the app over the past couple weeks.  (47:52) Twitter never became the main social media app, which gives it a certain appeal. Human communication is very context based. Tweets can often taken out of context because you're limited in how much you can explain yourself in a series of tweets, whereas in an article or podcast episode, you can fully describe what you mean by something without it getting twisted. (51:22) How communication and can often be unclear over the Internet. Tone can't always be portrayed over a tweet reply, for example, making the receiver wonder whether it's playful or aggressive. (55:20) Twitter's algorithm and how it puts content on your feed. A lot of it may depend on the content that you interact with, what you ignore, and who you choose to follow. Is it possible for AI to sift through and optimize your social media feeds? (1:00:35) GPT-3 (Generative Pre-trained Transformer 3) and it's capabilities. How can different tools and platforms incorporate GPT3 AI and what are some of its limits? (1:06:11) That wraps up this episode! Stay tuned for our next episode where we will actually discuss Tao Te Ching. If you'd like to listen to our other episodes in our Great Book series, check out our two most recent ones: The Odyssey and The Iliad. If you enjoyed this episode, let us know by leaving a review on iTunes and tell a friend. As always, let us know if you have any book recommendations! You can say hi to us on Twitter @TheRealNeilS, @adilmajid, @nateliason and share your thoughts on this episode. You can now support Made You Think using the Value-for-Value feature of Podcasting 2.0. This means you can directly tip the co-hosts in BTC with minimal transaction fees. To get started, simply download a podcast app (like Fountain or Breez) that supports Value-for-Value and send some BTC to your in-app wallet. You can then use that to support shows who have opted-in, including Made You Think! We'll be going with this direct support model moving forward, rather than ads. Thanks for listening. See you next time!

Ryan Law is VP of Content at Animalz, a content marketing agency for SaaS companies. We discussed AI and game-changing technologies for Content Marketing in episode 91 of the Growth Hub Podcast. — Ryan and his team have been playing with GPT-3 (short for Generative Pre-trained Transformer), an artificial intelligence that can generate human-like text and, in this episode, he shares their learnings, failures and expectations for AI in Content Marketing. We cover: > What GPT-3 is > What it's great at - and its limits > The results of Ryan's experiments with GPT-3 > Can GPT-3 replace human writers? > AI and ethics: how to use it for good? > How AI is expected to impact the world of marketing in the coming years Happy listening! ❤️ — Visit Advance B2B >> https://www.advanceb2b.com Follow The Growth Hub on Twitter >> https://www.twitter.com/SaaSGrowthHub Follow Reeta on Twitter >> https://www.twitter.com/rhtoivanen Visit Animalz >> https://www.animalz.co/ Follow Ryan on Twitter >> https://www.twitter.com/thinking_slow

Computers might be close to being able to write better than humans, but not without dropping some real clangers. Recently developed AI technology uses 'deep learning' - machine learning featuring artificial neural networks - to produce text. The Generative Pre-trained Transformer 3 (GPT-3) technology is being hailed for writing original prose with human fluency, but not always.

Liest sich ein computergeneriertes Kinderbuch anders als ein von einem Menschen geschriebenes? Wäre das bei einem wissenschaftlichen Artikel anders? Und bei einem Liebesbrief? Wir diskutieren mit unseren Experten Prof. Dr. Thomas Zöller und Prof. Dr. Christian Müller-Kett von der IU Internationalen Hochschule über das KI-Sprachmodell GPT-3 (Generative Pre-trained Transformer 3) von Open AI, das nach einem Training mit vielen Terabyte an Texten aus dem World Wide Web in der Lage ist, nach Vorgaben von Benutzer:innen Texte fortzuführen oder gleich selbst zu erstellen. Sie erklären anschaulich, wie ein neuronales Netzwerk aufgebaut ist, das zu solchen - und sogar unvorhergesehenen - Leistungen in der Lage ist. Dabei kommen neben den vielfältigen Einsatzmöglichkeiten auch die noch vorhandenen Grenzen dieser Technologie sowie sich abzeichnende ethische und rechtliche Risiken und Probleme zur Sprache. Wie immer gibt es am Ende auch viele Tipps zum Einstieg in das Thema mit Hilfe von Blogs und Büchern sowie dem AI Dungeon, mit dem man selbst Text-Adventures generieren und spielen kann. Hier sind die Links dazu: Kublik, S., Saboo, S. (2022): GPT-3. Building innovative NLP products using large language models. Sebastopol, CA: O'Reilly Media. https://www.oreilly.com/library/view/gpt-3/9781098113612/ Tingiris, S., Kinsella, B. (2021): Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI. Birmingham, UK: Packt Publishing. https://www.oreilly.com/library/view/exploring-gpt-3/9781800563193/ Giansiracusa, N. (2021): How Algorithms Create and Prevent Fake News. Exploring the Impacts of Social Media, Deepfakes, GPT-3, and More. 1st edition. Boston, MA: Apress. https://www.oreilly.com/library/view/how-algorithms-create/9781484271551/ https://thegradient.pub/ Towards Data Science: https://towardsdatascience.com/ AI Dungeon https://play.aidungeon.io/main/home

En este episodio José Luis Orihuela @jlori entrevista a Álvaro Ibáñez @alvy y Javier Pedreira @wicho de Microsiervos. Blog Microsiervos: https://www.microsiervos.com/ Twitter: https://twitter.com/microsiervos Facebook: https://www.facebook.com/microsiervos Álvaro Ibáñez (Alvy): https://twitter.com/Alvy Javier Pedreira (Wicho): https://twitter.com/Wicho La historia de Microsiervos https://www.microsiervos.com/archivo/general/acerca-de-microsiervos.html La novela Microsiervos (Microserfs) de Douglas Coupland https://www.microsiervos.com/archivo/libros/microsiervos.html Experimentando con AdSense https://www.microsiervos.com/archivo/general/experimentando-con-adsense.html Arqueología web https://www.ecuaderno.com/2013/09/26/arqueologia-web/ La tienda de Microsiervos https://www.microsiervos.com/seleccion/ El buscador DuckDuckGo https://duckduckgo.com/ El gestor de fuentes Feedly https://feedly.com/ El verdadero origen de Internet https://www.microsiervos.com/archivo/internet/el-verdadero-origen-de-internet.html El post imposible 2010: Vuelo en gravedad cero https://www.microsiervos.com/archivo/ciencia/post-imposible-2010-vuelo-gravedad-cero.html STS-135 NASATweetup: el lanzamiento del último transbordador espacial en primera fila https://www.microsiervos.com/archivo/ciencia/sts-135-tweetup-lanzamiento-primera-fila.html Red Bull Media Flight: Quince minutos en un Extra 300L https://www.microsiervos.com/archivo/aerotrastorno/red-bull-media-flight-quince-minutos-en-extra-300l.html El hashtag #RD (redifusión) de Microsiervos en Twitter https://twitter.com/search?q=(%23RD)%20(from%3Amicrosiervos) Giroscopios: el maravilloso mundo de unos artilugios increíbles https://www.microsiervos.com/archivo/ciencia/giroscopios.html Una posible cronología de la inteligencia artificial https://www.microsiervos.com/archivo/ia/una-linea-temporal-inteligencia-artificial.html Generative Pre-trained Transformer 3 (GPT-3) https://es.wikipedia.org/wiki/GPT-3 Microsiervos con comentarios cerrados https://www.microsiervos.com/archivo/general/ms-comentarios-cerrados.html Microsiervos y los comentarios https://www.ecuaderno.com/2005/12/14/microsiervos-y-los-comentarios/ Microsiervos Humor https://wtf.microsiervos.com/ Herramienta: AlsoAsked https://alsoasked.com/ Herramienta: Quora https://es.quora.com/ What is the Quora Partner Program? How do I get invited? https://www.quora.com/What-is-the-Quora-Partner-Program-How-do-I-get-invited Herramienta: Yahoo! Respuestas https://es.answers.yahoo.com/

The cybernetic pixel kids and their anarchic mate, Keanu, are dickin’ about in the hood, implants upgraded and optics on point to hack the system and collapse the corps, in CD Projekt RED’s Night City brain dance RPG, Cyberpunk 2077. Dissecting what might be the most sexually explicit and graphic game covered by Pixel Vision to date, Ben and Tao discuss if raunchy RPGs are made for men, if Cyberpunk’s infamous launch controversy has left any bugs crawling the system, how even Tao can be impressed by graphics, and why in-game Keanu works better than Norman Reedus did in Death Stranding (clue: charisma is everything). Story spoilers heavily forecast and only about the early game. This was recorded pre Patch 1.5 update.Content Warning: PEGI 16. Like drugs, sex, rock and roll and hacking? We got you covered.Clarifications:All Cyberpunk 2077 music is composed by Marcin Przybyłowicz, P.T. Adamczyk, and Paul Leonard-MorganThe Night City song is by REL and Artemis DeltaDeath Stranding’s actor is Norman Reedus.The show Ben can’t remember is Altered Carbon on Netflix.The GPT3 AI Ben references is Generative Pre-trained Transformer 3, an autoregressive language model that uses deep learning to produce human-like text.Tao’s gripe about the phone automatically answering has been fixed in the latest patch, post-record, pre-broadcast. At least they agreed it shouldn’t have happened!The ‘wheelie thing’ Ben is on about is a SegwayCD Projekt RED’s game engine is called the RED Engine.Audio extracts:The Matrix (1999)Monty Python - The Penis SongAnimal Crossing OSTSex and the City themeITVs Love Island themeMario Kart 64 Rainbow Road themeSnatch (2000)Rage Against The Machine - Wake UpKelis - MilkshakeThe Mask (1994)Dr Syntax - SubculturesSeth Sentry - My SceneJungle - The HeatAltered CarbonWatch Dogs themeWatch Dogs 2Urban Species - I wonderGoldfingerGoldeneyeTina Turner - Goldeneye themeThe Sex Pistols - Anarchy in the UKFosters - Good Call advertThe Simpsons duff beer adPLEBSThe Witcher 3: Wild HuntWest World HBOTravis Eliot yoga instructorOblivion OSTThe Pixies - Where is my mind?BBC Hitchhikers Guide to the Galaxy themeBBC Line of Duty themeObserver OSTPatreon: https://www.patreon.com/pixelvisionpodTwitter: @pixelvizEmail: pixelvisionpod@gmail.com Get full access to Pixel Vision at www.pixelvision.net/subscribe

In this special Black Hat episode, Andrew Lohn and Micah Musser explain “Disinformation At Scale: Using GPT-3 Maliciously for Information Operations” - the double-edged sword of large language models.The Generative Pre-trained Transformer 3, or GPT-3, is an autoregressive language model that uses deep learning to produce human-like text, created by OpenAI. In other words: “Autocomplete on steroids.” It is currently the largest and most powerful natural language model in the world, and can write realistic text from almost any genre.In this episode, I discuss with guests Andrew Lohn and Micah Musser:How can GPT-3 be used to amplify disinformation?What are the implications GPT-3 has for Artificial General Intelligence (AGI)? Can GPT-3 be considered “creative”?What are the future trends for this technology, cybersecurity, and society?And… Did I use any GPT technology to write parts of this show notes? I guess we'll never know for certain ;)_______________________GuestsAndrew LohnOn LinkedIn | https://www.linkedin.com/in/anlohn/On Twitter | https://twitter.com/andrewjlohnMicah MusserOn LinkedIn | https://www.linkedin.com/in/micah-musser-a485b5121/On Twitter | https://twitter.com/mrmusser______________________HostEllen XuOn ITSPmagazine

Generative Pre-trained Transformer 3 (GPT-3). En machine learning modell som kan hjälpa dig i ditt dagliga arbete. GPT-3 kan användas för att generera innehåll. Den använder en kombination av flera parametrar inom maskininlärning för att generera tex läsbara meningar. Lyssna här på exemplet från en bloggtext https://www.linkedin.com/pulse/automatisk-ai-baserad-kommunikation-obehagligt-bra-jonas-jaani

Maschinelle Übersetzung gibt es schon sehr lange, erste Pionierversuche gab es bereits in den 1930ern. Sehr große Verbesserungen brachte der Einsatz von Deep Learning und künstlichen neuronalen Netzen. Sie ermöglichen Computersystemen, kontextbezogene Verbindungen zwischen Wörtern und Phrasen herzustellen. Das "GPT" bei GPT-3 steht für Generative Pre-trained Transformer. Und den gibt es jetzt schon in der dritten Ausbaustufe.  Der Transformer bekommt einen Input, wertet ihn mit Hilfe von Deep Learning aus und generiert neuen Output. GPT, egal ob 2 oder 3, gehört damit zum großen Feld der künstlichen Intelligenz.Wir sprechen mit Carsten über seine Erfahrungen und Erlebnisse mit GPT-2 und GPT-3.Link zum Fundstück der WocheArtikel OpenAIs GPT-3GPT-2 ausprobierenOPITZ CONSULTING ■■■ Digitale Service Manufaktur

Stephan Spencer made himself too essential in his agency, resulting in working to exhaustion. After a much-needed break, he was able to gain clarity on the best way to scale his agency. In the 1990s he founded the SEO agency Netconcepts and in 2010 it was acquired by Covario. Stephan invented an automated pay-for-performance SEO technology called GravityStream. He is co-author of "The Art of SEO", co-author of "Social eCommerce", and author of "Google Power Search." Today, he joins us to talk about how he scaled his agency to the point he could take a sabbatical. Learn how he intentionally worked himself out of a job by building a leadership team that could take over the thought leadership role. 3 Golden Nuggets Figure out what can be automated. We've talked about the importance of getting rid of the more tedious tasks to focus on what you really want to do. One way you could do that is by figuring out what can be automated or scaled with some artificial intelligence technology. For example, GPT-3 is a game-changer that you can incorporate into your product to have a real competitive edge. Don't work yourself to exhaustion. It's important to work yourself out of a job. By being indispensable, you become the biggest roadblock to the growth of the agency. Stephan wanted to be the visionary, not the integrator or the implementer, so he brought on a COO, VPs, CFO, CEO, and built his team to make sure he no longer was the company's only thought leader. Establish authority in a powerful way. You can make a huge impact and put yourself on the map if you can find a niche where you can author a book. Another thing that can make a big impact and get you your first big clients is find a big company and offer your services in exchange for testimonials and the use of their logo on your website. It communicates to other clients that you are preapproved by this larger company and more clients are sure to follow. Sponsors and Resources SweetProcess: Today's episode is sponsored by SweetProcess. If you're looking for a way to speed up processes in your agency, SweetProcess will provide the systemization you need to scale and grow your business. Check out sweetprocess.com/smartagency and get your productivity up. Subscribe Apple | Spotify | iHeart Radio | Stitcher | Radio FM Avoid Becoming Indispensable and Working Yourself to Death Jason: [00:00:00] What's up everybody? I have an amazing show coming your way. If you want to know how one agency owner built an SEO agency over $6 million and sold it. And even before that got to a point where they could actually go on a sabbatical and the agency keep running without them. Which is total freedom. And, and to come back. This is the episode for you. So let's go ahead and get into it. Are you frustrated with how long it takes you to get stuff done in your agency? Or tired of your team missing steps or falling through the cracks? You know, you may be looking for an easy way to capture SOPs to scale your agency faster and easier. Now, our partners that Sweet Process have created an amazing tool to help you overcome all these frustrations. Sweet Process really lets you create a step-by-step instruction from every task in your agency. From writing proposals to executing client work and responding to client requests. So everything gets done more easily. No more mistakes or missed steps. Plus, I have a central place where everyone, employees, contractors, or even VAs can access your procedures anytime from anywhere. The best way to learn about how Sweet Process really can streamline your agency is to start using it. So exclusively for the Smart Agency masterclass listeners, you can try it out for 28 days free of charge. No strings attached. Just go to sweetprocess.com/smartagency to start your free 28-day free trial today. That's sweetprocess.com/smartagency to get your SOPs down and your productivity up. All right, welcome to the show, Stefan. How's it going? Stephan: [00:01:52] It's going great. Thanks for having me. Jason: [00:01:54] Yeah, man. So, uh, tell us a little bit about who you are and what you do. Stephan: [00:01:58] Yeah, well, I've been doing SEO since, uh, the nineties. If you can believe it. Even before Google existed, I dropped out of a PhD. Jason: [00:02:07] Yeah. That was probably back when we could, uh, put all the keywords in the background and put it the same color. Stephan: [00:02:15] Yeah. You know, I never did that. I always thought that was a little sketchy, but yeah. That did work kind of for a little while, uh, back in those days. But the idea of having eight or 10 different search engines that you had to optimize for was a little nerve-wracking back then, if you recall, there is Infoseek and… Jason: [00:02:35] Lycos. Stephan: [00:02:36] Lycos, AltaVista Dogpile, MetaCrawler, Web Crawler, Excite. Yeah. It was just… Jason: [00:02:43] I remember all of them. Yeah, it was crazy. Stephan: [00:02:46] Yeah. That was an interesting time, but then Google changed everything and became the 800 pound gorilla. And I knew that I needed to reverse engineer that algorithm and figure it out. So I did, and our agency went from being more of a web agency, interactive agency to being a specialist SEO agency. And we really made a name for ourselves. Even I developed a technology platform for, uh, doing an end run around all the technical, uh, roadblocks that most SEOs face with regards to things like, uh, implementing URL rewrites and, and, uh, fixing architectural issues and so forth. I used a reverse proxy technology and created this software as a service. We had clients like Zappos and Nordstrom using it, and we charged on a cost-per-click basis, which was brilliant. Because we could go head to head with pay-per-click, you know, like, oh, well you're paying 50 cents a click on average or a dollar per click? We only charge 15 cents a click. So you should buy as much traffic as you can from us and if we don't deliver, you don't get the traffic, you don't have to pay. So it was a no brainer. Jason: [00:04:01] I love it. Now, was that part of the agency when you actually sold it or was this a spinoff? Stephan: [00:04:06] It was. Jason: [00:04:07] Very cool. Stephan: [00:04:08] It was. Yeah. So that technology was really the main reason why our company was valued at what it was valued at and, and we, we got, uh, the nice exit. In fact, I don't even know if we were just a traditional agency, like everybody else. If we would even have been approached, I have a feeling we wouldn't have been. Jason: [00:04:28] Now, do you feel that having that, and I've been talking to a lot of agency owners, you know, in the mastermind and over the years about, you know, if you can build that little black box that only you have. Because I saw part of that as well as our agency, we were one of the first to build our own CMS system because we started in 99, so a little behind you. And we built the e-commerce system, email marketing system. Now we probably weren't as smart as you and a lot of other people that are like WordPress and all these, because we didn't turn it into a SAS product. We installed it every time and we were always working on our clients. But do you feel that more agencies, especially the specialized agencies. If they could try to figure out how to build a technology that makes them unique. Does that really separate them? Stephan: [00:05:18] It does. It does. And I think figuring out what can be automated or scaled with some artificial intelligence technology and to not have to kind of, you know, brute force it. Because there's some really incredible AI tech out there already. Like for example, GPT-3 is a game-changer and you could sign up for their, their beta and start using it and incorporate it into your product and have a real competitive edge. Jason: [00:05:49] Fantastic. I have not heard of that, but I'm not in that realm. Uh, so everybody go check that out or tell us a little bit more about that. So people know. Stephan: [00:05:58] Yeah. Yeah. So there's a company called Open AI, openai.com and their flagship product is GPT-3. And GPT-3 stands for Generative Pre-trained Transformer… three. In case you're curious. But the idea of it is that it can take your input. Let's say you, you ask for a GPT three to write you a poem. Write me a poem about Elon Musk and make it like a Dr. Seuss poem and lo and behold, it actually does it. It's, it's amazing. You could ask it to catalog and sort images based on the kind of animal it is. You can just ask it questions and it will answer those questions. It's phenomenal. So somebody who asked GPT-3 to write a poem about Elon Musk, like Dr. Seuss would write it. This is really hilarious. Uh, you can, you can Google it or you can drop this link into the show notes. I'll just share one stanza from that poem with you, “but I'll tell you what I'll do. I'll send my Mars Rovers to red planet you.” Jason: [00:07:15] Oh, that's… man, that would've been awesome for college, for me in college. To be like, do this paper for me and do it this way. Stephan: [00:07:25] And it seems to have a sense of humor. Yeah, it's like, really outstanding. Jason: [00:07:30] This is a free tool right now? Stephan: [00:07:33] It's not free, but it's not prohibitively expensive. Jason: [00:07:38] Wow. Okay, everyone go check that tool out and they're not sponsors or anything. So that's just a really pretty cool tool. I'm going to go check that out. Let's talk a little bit about, now we talked about you built a particular technology that was your own, you know, four year SEO agency that enabled you to, to sell it. But what were some of the other things that you did in order to get to a point where you could go on sabbatical and the agency keep growing? Stephan: [00:08:07] Yeah, well, it's important to work yourself out of a job. If you are relying on your own steam, your own initiative and skill sets in order to do all the selling and to manage the client relationships. To help with a higher level projects, activities, and so forth, then by being indispensable, you become the biggest roadblock to the growth of the agencies. So I didn't want that for myself. I wanted to be the visionary and not the integrator or implementer. So I brought on COO and, uh, different VPs. And even to the point, I brought in a CFO to help with the growth and even a CEO so that I could just step back. And if I had my company acquired and I had to go with the company that defeats the whole purpose, because I want an asset that I can sell, I don't want. To go from being self-employed to employed by somebody else. That's the wrong direction. So I wanted to build a company that I could be able to run, but without having to do the day-to-day work and I wanted, uh, so to own it, but not operate it. And I wanted it to be an asset that I could sell at any point. I didn't have golden handcuffs that would keep me at the acquirers' premises for very long. So I negotiated down the earn-out. They did want me to stay for a period of time, but I, the maximum I would do was six months. As soon as that six months came and went and then the check cleared, they were surprised that I, I gave notice. I'm like, really? How, how could you be surprised by that? I would just, I don't get that. Anyway, so that was, uh, uh, you know, kind of a quick story about how I went on and did other things. I, I started another agency. It started more as a lifestyle kind of business where I could just take months off at a time, even with a very small team. And I did do that. I signed up for Tony Robbins platinum partnership, which was amazing. I followed Tony all around the world. All these amazing life-changing experiences. Platinum partners pay a lot of money to Tony Robbins every year, but they get incredible experiences in very exotic places all around the world. So I did that for three years and it was incredible. It was life-changing and I was able to do that because I had a successful exit. Jason: [00:10:53] Yeah. That's great. A lot of times people want to hire for things that they don't know, right? And to bring into the agency. You know, I was chatting with a buddy of mine, Dan, and he was talking about, you want to hire people based on what you don't want to do anymore first and start, right? Like if you're at the center, so you start looking at the under-hundred-dollar tasks, email bookkeeping, account management, project management. All these things and going, how can I hire so all of that is done? Because that's working in the business and then you got to look at what's the other side, on the business. Well, that's content creation because you know, like what we're doing now only us can really create this, but we shouldn't be doing post-editing, or editing it, right? That's kind of why I'm trying to do this all in one take. Stephan: [00:11:44] Well, you're doing a great job of it. Jason: [00:11:47] Well, I hope. You just jinxed it now. And just do like strategic planning, leadership development and work on those things in order to, you know, surround yourself. So, when you go back at looking at the first agency and even the agency now that you have now, what was the order of people that you started bringing in? And would you, you know, obviously don't name the names, but tell us that the titles or their, their responsibilities and like, who did you hire first, second, third that started making this to a point where you could have that freedom in the agency. Stephan: [00:12:23] Yeah. Well, when I started, I wanted to bring on contractors first. I wasn't sure to what scale I would get and how quickly and I was bootstrapping. And I didn't have any money to speak of, I, I was up to my eyeballs in student loan debt. I was studying for a PhD and I dropped out in order to start the agency. So I started with contractors to deliver on the client work and the, the very first event that I, I networked at to get my first big clients, it was, I don't know if I'd call it dumb luck. It was maybe a mix of, of that and, and gumption. I was pretty cheeky to go and I talked my way into this event as conference called How to Market on the Internet. It was a very premiere event, costed several thousand dollars to attend. And I wasn't a speaker. I didn't even have the money to afford to attend at that point. Because, remember, I was up to my eyeballs in student loan debt. But what I managed to do is I got in for free by being a volunteer and they gave me the job of being a mic runner. So, imagine this, is 1995 and this is my first conference that I, uh, in my industry that I'm, uh, I'm at. And I'm the mic runner and one of the, the rooms and I, as a cheeky 24-year-old, I think that I know more than the people on stage and so I have the mic and I start chiming in. And I ended up getting a big stack of business cards by the end of that day. Two big accounts came from that, both of those each worth, uh, over half a million dollars in customer lifetime value to me. I didn't have to get funding. I just had to put myself out there in a very daring way. Now I did get uninvited from volunteering on day two. Apparently, some of the speakers didn't think this was too cute when I was doing, but I didn't know any better. I was, I was just trying to add value in a way that, um, you know, many people would, would be pretty nervous about doing. Anyways, so this is how I got my start, with contractors to help deliver on that work. And then I started working on a more kind of permanent situation. In those early days, I hired developers and, um, uh, systems, administrators and stuff like that to handle a lot of the technical stuff. But where it gets really interesting is when I decided, you know what? I'm going to move to New Zealand, because why not? Now everybody else has gone, I was in Madison, Wisconsin at the time. Everybody else was moving to Silicon Valley to make their fortunes. I'm going to do the exact opposite and go halfway around the world to New Zealand. I'd never been there and I just knew intuitively that it would be a fantastic place to live. So I applied for residency, permanent residency, and I got in. So then I convinced my wife at the time and my kids to make this huge move. And we did, and I had to start all over again, pretty much, because I wanted to keep the US business running, but I wanted more of a skeleton crew. I had an office manager at the time. We were like seven staff or something like that, or maybe it was nine and we scaled it down to three. Three staff. And the main person that I left in the Madison-Wisconsin office was the office manager. I promoted her and made her a managing director so she could get in to exclusive meetings with, with C-level executives and stuff like that because she had the title. And I went to New Zealand and I started with nobody there, no… uh. It was very stressful for a month or so, but the very first hire there was a, a general manager. That general manager I have found through a recruiting firm and then I was able to, using that same recruiting firm and the guidance of that general manager, find I think we had seven other people that we brought in within a two or three month time period. So we had to build the team fast, because we had a lot of work and we didn't have anybody to deliver on it because I, I scaled down the other, uh, office to just three people. So that was stressful, but really rewarding and fun. And once I had that general manager, it was just so much easier because he was the equivalent to a COO. And so if you have to find one person, it should be your COO. Maybe the very first person should be your EA, so that, that can free you up from a lot of the tasks that are bogging you down and are not high value tasks. But after that, for sure, the COO I think is the most critical role set that allows you to stand back and be the visionary and, and speak at conferences and write books and write columns for magazines and things like that. And not have to worry about the day to day of operations. Jason: [00:17:47] You know, the, the one thing that I see is when you're on the side of the fence of working in the business. You're always kind of thinking of what and how, like, what should I do and how should I actually do it? But if you're on the other side of the fence of working on the business, the only thing is, is like, where are you going? Why are you going there? And who. Like who do I bring in to figure out the what and the how and all of that. It makes things a lot easier. I see, like that operations person as crucial, just like you. But I also see like with certain agencies, it depends on the situation, right? I look at it as the first hire almost, you know, after like a project manager to manage some of the stuff. So you can keep doing sales because you got to think of like, when you're starting out, you're doing sales. But you also have to figure out how can I get leads before I hire a salesperson in order to help them? So I look at it as hire a marketing person to produce leads. Because you're probably already doing a lot of marketing things that you can get off, right? And then after that, bring in a salesperson to help you, because as you get busy with, you know, delivering all that work and building the relationships. You start dropping the ball and you actually start, you might've gone through this, I know I did, self-sabotage the deal. You like, you try to grenade the engine because you're like the car can't go any faster because I know we're going to do really bad. And then I look at it as like, how do we bring in that ops person in order to, to really help out? But everyone's in a little different situation. Like if you're getting a ton of leads and you know, you're in a good spot, then you can bring in that person. So you've got to self-evaluate, there's no one solution every time. Stephan: [00:19:32] That's a great point. And if the lead flow is what needs to be addressed first, you don't have to necessarily hire a salesperson. You could go with an outsourced firm that can help you with the appointment setting or with the closing or with all of it. For example, there's a… one company that comes to mind is called Meta Growth and they will recruit the salespeople. They're going to be commission only, and they become your team and you pay Meta Growth, a monthly retainer, and then a percentage on top of that, of the sales that, uh, their team generates or the team that becomes yours. But they continually train and, and if somebody leaves, they'll replace them and so forth, and that's a way to build an outsourced sales team pretty quickly. Jason: [00:20:26] Exactly. Let's talk about the GM and the operations person. What were their responsibilities to enable you to step away? And what were the other team members that you had to have in place so you could go on the sabbatical? Stephan: [00:20:43] Yeah, so it was a few years later after I went on sabbatical. We built up the Madison office again to one that was at one point we got to 35 staff over there. And, uh, we had a CEO and the CFO, or no, we didn't have the CFO yet with the CEO, we had the general manager the same one that was my first hire in New Zealand. And I ended up taking six months in New Zealand and yeah, it was just, uh, worked great. It was really refreshing and I, I was burned out at the time. This was back in, I don't know, 2004, 2005. I had just worked myself to exhaustion, really, and I was needing a break. So, uh, everyone was very supportive of me to just take that time off, which I needed. Jason: [00:21:35] Let's talk about that because there's a lot of agencies that work themselves to exhaustion. So how did that happen? Especially since you had, you know, everyone thinks hiring an operations manager. You know, like you don't have to do anything anymore. So how did you work yourself to exhaustion and what would you avoid going through it now that you know what caused it? Stephan: [00:21:59] Yeah, well, I, I made myself too essential to the marketing of the business, being the thought leader, the thought leader, right? It wasn't like there were five or 10 of us. I was the one who was, uh, writing books and, uh, writing columns and so forth. It wasn't until after I had the sabbatical and I kind of realized I needed to have that function of the business, be distributed out across multiple staff, that we encouraged other team members to start writing columns and, uh, speaking at conferences as well. But yeah, that was pretty much just my job was to keep going from conference to conference to conference. So I was on the road all the time. I was based in New Zealand, but I was spending probably a quarter to a third of my year in the US, and I had small children at the time, and it was not easy for me to spend all that time away from them. And that took a toll on me and, and on my happiness. So that was a big part of it, and then I was a workaholic. Maybe I still am to some degree, but I'm way better, way better than I used to be. It's, it's like, it's a socially acceptable addiction. But it's not okay. It doesn't help your health or your family in the long run. It's just a way of numbing out, I guess. And if this relates to you and you're feeling like you're kind of a workaholic, then you got to take some powerful action to address it. Don't just think, yeah, that probably is something I should get to someday. You know, you got to address it because it doesn't break the camel's back until it does. And you don't know when that's going to happen. So just preemptively address it. Jason: [00:23:52] I've learned that the hard way as well. And the only way that I've found through that is creating kind of rules on your time and really goals around your time. That is first, I feel. For many years I taught people in the agency playbook the framework for us that, hey, set your revenue goals first, then your create goal, and then your time goals are last. Well, when you do that, you're going to sacrifice your time because everything else should be leading up to the time. And thinking about why, you know, like one of the exercises I walk people through is going all right, write out your perfect week and what does that look like? And then tell me why, like, do you want to take your kids to the swimming practice or track? Or, you know, do you want to be home when they get home from school? That's why we work so hard, but then we sacrifice it. I've been breaking my rules on, on health. I've just working, you know, until I get back to Colorado and literally just, you know, kind of skipping, you know, the health stuff. So what worked for you? Do we have to go away for six months to do that or…? Stephan: [00:25:04] No, you don't. Here's the key. If you're chasing after, whether it's your health or your relationship or career, family, whatever it is, it becomes elusive because when you're chasing after one thing, you can't chase after all of the things. The only way that you can win at all of it, the business/career. And your health and finances and family and significant other, all that, is to chase after just one thing that has it all. And the analogy I give you is, I learned this in Kabbalah class, actually. It's, it's a prism and the white light shines in to one side of the prison and outcome all the colors. And the colors represent all the different aspects of your life. Friends and, and the business and family and health and all that. So stop chasing the colors and chase after the white light. So that's the light of the creator. Like whatever your spiritual beliefs are, just that encompasses everything. That's where I had the biggest breakthroughs is by stopping chasing after those individual things and just worked on me as a spiritual being and everything just seemed to fall in line. It's just like life was happening for me not to me, once I started focusing on the bigger picture. Jason: [00:26:44] I love it. I mean, that's, uh, it's so true. And, I think we always have to remind ourselves that. Because we'll say it now and we'll do it for a week, two weeks, maybe a month. And then there's something that breaks our cycle. You've got to constantly be disciplined and I think also kind of self-aware of when that triggers in order to go back. Because it's a, it's like that one, that one story I heard one time, it was a guy that was working himself to death, running a business so he could sell it and go buy a fishing boat. And then he wanted just to be a charter boat captain. Well, he didn't have to waste 30 years of working around the clock. He could have just been a charter boat captain from the start. And I think a lot of times we have to kind of learn those lessons the hard way, but that's why you guys listened to the show to hopefully speed up that success or avoid those, those failures from others. That's why we, uh, we have those conversations. Well, this has all been amazing. Is there anything I didn't ask you that you think would benefit the audience? Stephan: [00:27:56] I do think if, if you can establish your authority in a very powerful way, that is going to make a huge impact. So for example, a thing that really put me on the map, not only did, uh, the gravity stream technology really help with this, but I co-authored a book called “The Art of SEO”. I ended up coming up with other books as well after that but the big one is The Art of SEO. And if you can find a niche where you can write a book, maybe even get a publisher for it. O'Reilly was my book publisher. We have three editions of The Art of SEO and I'm working on a fourth edition right now. And that is a huge game-changer. If you don't have the time for that, maybe hire a ghostwriter to help you write it. You don't have to be the one to write it. You just have to be the author of it or co-author of it. So that, that can be a game-changer. Another thing that is along those lines that really made a big impact in the early days was when we went from building search engine optimized e-commerce websites to doing consulting for even bigger companies that didn't want us developing the sites. They just wanted us providing the guidance like SEO audits and all that sort of stuff and they had their internal teams implement it. Our first big account. We didn't actually make any money off of, and that was strategically on purpose. We wanted to get a really big name right out of the gate as a, a, a client for SEO auditing. So we approached Target, target.com and ask them if they would like a free SEO audit in exchange for use of their logo and a testimonial, assuming that they were happy with what we produced. And they said yes, and they loved what we produced made. Made them a lot of money and they were happy to give us a testimonial and use of their logo. So once we had that on our, uh, clients page and, and our testimonials page, it was a lot easier to sell, uh, other, other accounts that was, that was just super ninja. Jason: [00:30:14] Yeah. I, I remember landing the first big account and then it just, they kept rolling after that. They want to hang out with others, even though it doesn't matter. It, it really. It's just a name, but people think, oh, if the biggest companies work with you, they're the smartest. Which that's not true either, they're just, uh, they're just big. So, that's awesome. Stephan: [00:30:37] Yeah. And so, but you come preapproved, it's like social proof and if you can shortcut that process, if you haven't worked with a really big name company. Imagine somebody so huge that everyone will have heard of it. And that could be one of your clients. Yeah. There's just a, it seems like a no brainer to me. Just offer them something irresistible for free in exchange for a testimonial. Somebody's going to bite somebody going to say yes to that and hello. Jason: [00:31:06] I love it. I love that. It's just grassroots stuff too, right? Like this is easy stuff we all can go do. So make sure you go do it. Where can people find out more about you and check out the books? Where can they go? Stephan: [00:31:20] stephanspencer.com. I also have two podcasts. So you were on one of them. You were on Marketing Speak. That's at marketingspeak.com. And then my other podcast is a biohacking and spirituality podcast. And that's Get Yourself Optimized, which is at getyourselfoptimized.com. Jason: [00:31:38] Awesome. Well, thanks so much for coming on the show. And if you guys enjoyed this episode and you want to be surrounded by amazing agency owners on a consistent basis where we can see the things you might not be able to see and also help you get over those hurdles, because we've been there before I want you guys to go to digitalagencyelite.com. This is our exclusive so community where we provide you the tools, coaching community. Everything you need to scale your agency faster so you can get to a point to exit one day if you want, whether it be exiting your current role or exiting the business. So make sure you go there now. And until next time have a Swenk day.

Si ja se'ns fa difícil comprendre la popularitat d'alguns YouTubers, prepara't perquè aquesta nova ona de creadors comparteixen una fesomia molt curiosa: no són de carn i ossos. I doncs, quan un fenomen així es democratitza, on són les fronteres entre la realitat i la ficció?Show notes:Deixant de banda que el Marc no sap ni quants seguidors té a Twitter, l'enigma setmanal del Ramon ens revela que lilmiquela, un personatge fictici generat per un ordinador, acumula més de tres milions de seguidors.GPT-3 (Generative Pre-trained Transformer 3) — a banda de ser un producte distòpic — és un model de llenguatge regressiu, desenvolupat per OpenAI, que utilitza metodologies de deep learning per a produir textos els quals un humà difícilment en sabria distingir la seva procedència artificial.Aquest és el bot de Microsoft el qual el vint-i-cinc per cent dels seus usuaris — estem parlant de deu milions de persones — li van dir "t'estimo" i el precursor del compte de Twitter que la pròpia Microsoft va haver de tancar degut a les seves proclames racistes.Durant el capítol mencionem diferents productes que utilitzen intel·ligència artificial per ajustar-se a les nostres preferències. Entre ells en destaquem un amic virtual, un company sexual (al qual no enllaçarem), però sobretot, l'avi de tots plegats, l'entranyable Tamagotchi — que arribà a Europa a mitjans dels 90 de la mà de Bandai.Ja per últim, i com ja ve sent costum, la menció local. Aquesta vegada és per a Marc Sarrats, el streamer darrere de TEMPS DE SILENZIAH — el visionat comentat del mític serial Temps de Silenci.

How does a computer learn to speak with emotion and conviction? Language is hard to express as a set of firm rules.  Every language rule seems to have exceptions and the exceptions have exceptions etcetera.  Typical, “if this then that” approaches to language just don’t work.  There’s too much nuance. But each generation of algorithms gets closer and closer. Markov chains were invented in the 1800’s and rely on nothing more than basic probabilities.  It’s a simple idea, just look at an input (like a book), and learn the order in which words tend to appear.  With this knowledge, it’s possible to generate new text in the same style of the input, just by looking up the probability of words that are likely to follow each other.  It’s simple and sometimes half decent, but not effective for longer outputs as this approach tends to lack object permanence and generate run-on sentences. Markov models are  used today in predictive text phone keyboards, but can also be used to predict weather, stock prices, etc. There’ve been plenty of other approaches to language generation (and plenty of mishaps as well).  A notable example is CleverBot, which chats with humans and heavily references its previous conversations to generate its results.  Cleverbot’s chatting can sometimes be eerily human, perfectly regurgitating slang, internet abbreviations, obscure jokes.  But it’s kind of a sly trick at the end of the day, and, as with Markov chains, Cleverbot’s AI still doesn’t always grasp grammar and object permanence. In the last decade or two, there’s been an explosion in the abilities of a different kind of AI, the Artificial Neural Network.  These “neural nets” are modelled off the way that brains work, running stimuli through their “neurons” and reinforcing paths that yield the best results. The outputs are chaotic until they are properly “trained.” But as the training reaches its optimal point, a model emerges that can efficiently process incoming data and spit out output that incorporates the same kinds of nuance, strangeness, and imperfection that you expect to see in the natural world.  Like Markov chains, neural nets have a lot of applications outside language too. But these neural networks are complicated, like a brain.  So complicated, in fact, that few try to dissect these trained models to see how they’re actually working.  And tracing it backwards is difficult, but not impossible. If we temporarily ignore the real risk that sophisticated AI language models pose for societies attempting to separate truth from fiction these neural net models allow for some interesting possibilities, namely extracting the language style of a large body of text and using that extracted style to generate new text that’s written in the voice of the original text. In this episode, Jeff creates an AI and names it “Theodora.”  She’s trained to speak like a presenter giving a Ted Talk.  The result varies from believable to utter absurdity and causes Jeff to reflect on the continued inability of individuals, AI, and large nonprofits to distinguish between good ideas and absolute madness. On the creation of Theodora: Jeff used a variety of free tools to generate Theodora in the episode.  OpenAI’s Generative Pre-trained Transformer 2 (GPT-2) was turned into the Python library GPT2 Simple by Max Woolf, who also created a tutorial demonstrating how to train the model for free using Google Colab.  Jeff used this tutorial to train Theodora on a corpus of about 900 Ted Talk transcripts for 5,000 training steps. Jeff then downloaded the model locally and used JupyterLab (Python) to generate new text.  That text was then sent to Google Cloud’s Text-To-Speech (TTS) service where it was converted to the voice heard on the episode. Producer: Jeff EmtmanMusic: LianceSponsor: Liance Independent musician James Li has just released This Painting Doesn’t Dry, an album about the relationship between personal experiences and the story of humanity as a whole.  James made this album while he anxiously watched his homeland of Hong Kong fall into political crisis.Buy on Bandcamp. Listen on Spotify.

simulacija, ai, nauka, neuronauka, društvene mreže, pinboard Links:Pinboard (@Pinboard) / Twitter — The light inside is broken, but I still work. The Cadillac of online bookmarking sites. https://pinboard.in maciej@ceglowski.com +1 415 610 0231Superintelligence: The Idea That Eats Smart People — This scenario is a caricature of Bostrom's argument, because I am not trying to convince you of it, but vaccinate you against it.Andrew Huberman: Neuroscience of Optimal Performance | Lex Fridman Podcast #139 - YouTube — Andrew Huberman is a neuroscientist at Stanford.Thread Helper — A serendipity engine on the Twitter sidebar.MyHeritage on Twitter — “It makes me so happy to see him smile again!" Try our new #DeepNostalgia #PhotoAnimation feature for yourself and prepare to be AMAZED!!!Flint Dibble on Twitter — Alright, I'm joining the game and animating some ancient stuff. This is from the Acropolis Museum in AthensShockingly Real Tom Cruise Deepfakes Are Invading TikTok — Three days ago, a TikTok account going by @deeptomcruise began posting video clips of the Hollywood actor Tom Cruise doing everything from golfing, to tripping and telling a joke in what appears to be a men's clothing store in Italy, to performing a magic trick with a coin. In each of the three videos, Cruise delivers his signature maniacal laugh—you know, the one he repeatedly unleashed in that batty Scientology recruitment video years back—before launching into some sort of bit, and in all of them, it looks just like Cruise. Only it's not Cruise.GPT-3 - Wikipedia — Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.Franz Kafka's A Country Doctor English Subtitle - YouTube — “A Country Doctor” (German: “Ein Landarzt”) is a short story written in 1917 by Franz Kafka. It was first published in the collection of short stories of the same title. In the story, a country doctor makes an emergency visit to a sick patient on a winter night. The doctor faces absurd, surreal predicaments that pull him along and finally doom him.The EMBO Journal on Twitter: "See what's really going on inside your nerves' ends - real-time analysis of protein mobility at the #synapse courtesy of Rizzoli lab https://t.co/lIUP0yrsnS https://t.co/l15MXR5j9k" / TwitterPriključenija 15: Simulacija — Nebojša misli da živimo u simulaciji. Miloš je skeptičan. Obojici se sviđa serija koja nema veze sa simulacijom, osim što možda ima.Priključenija 23: Računari — Miloš je pod utiskom nakon čitanja knjige, Nebojša nakon gledanja filma. Nepoznavanje inženjerstva i ekonomije neće ih sprečiti da podele svoja mišljenja o oba. Links:Pinboard (@Pinboard) / Twitter — The light inside is broken, but I still work. The Cadillac of online bookmarking sites. https://pinboard.in maciej@ceglowski.com +1 415 610 0231Superintelligence: The Idea That Eats Smart People — This scenario is a caricature of Bostrom's argument, because I am not trying to convince you of it, but vaccinate you against it.Andrew Huberman: Neuroscience of Optimal Performance | Lex Fridman Podcast #139 - YouTube — Andrew Huberman is a neuroscientist at Stanford.Thread Helper — A serendipity engine on the Twitter sidebar.MyHeritage on Twitter — “It makes me so happy to see him smile again!" Try our new #DeepNostalgia #PhotoAnimation feature for yourself and prepare to be AMAZED!!!Flint Dibble on Twitter — Alright, I'm joining the game and animating some ancient stuff. This is from the Acropolis Museum in AthensShockingly Real Tom Cruise Deepfakes Are Invading TikTok — Three days ago, a TikTok account going by @deeptomcruise began posting video clips of the Hollywood actor Tom Cruise doing everything from golfing, to tripping and telling a joke in what appears to be a men's clothing store in Italy, to performing a magic trick with a coin. In each of the three videos, Cruise delivers his signature maniacal laugh—you know, the one he repeatedly unleashed in that batty Scientology recruitment video years back—before launching into some sort of bit, and in all of them, it looks just like Cruise. Only it's not Cruise.GPT-3 - Wikipedia — Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive language model that uses deep learning to produce human-like text. It is the third-generation language prediction model in the GPT-n series (and the successor to GPT-2) created by OpenAI, a San Francisco-based artificial intelligence research laboratory.Franz Kafka's A Country Doctor English Subtitle - YouTube — “A Country Doctor” (German: “Ein Landarzt”) is a short story written in 1917 by Franz Kafka. It was first published in the collection of short stories of the same title. In the story, a country doctor makes an emergency visit to a sick patient on a winter night. The doctor faces absurd, surreal predicaments that pull him along and finally doom him.The EMBO Journal on Twitter: "See what's really going on inside your nerves' ends - real-time analysis of protein mobility at the #synapse courtesy of Rizzoli lab https://t.co/lIUP0yrsnS https://t.co/l15MXR5j9k" / TwitterPr

Some have called it the most important and useful advance in AI in years. Others call it crazy accurate AI. GPT-3 is a new tool from the AI research lab OpenAI. This tool was designed to generate natural language by analyzing thousands of books, Wikipedia entries, social media posts, blogs, and anything in between on the internet. It's the largest artificial neural network ever created. In this episode of Short and Sweet AI, I talk in more detail about how GPT-3 works and what it's used for. In this episode, find out: What GPT-3 is How GPT-3 can generate sentences independently What supervised vs. unsupervised learning is How GPT-3 shocked developers by creating computer code Where GPT-3 falls short. Important Links and Mentions: https://www.nytimes.com/2020/11/24/science/artificial-intelligence-ai-gpt3.html (Meet GPT-3. It Has Learned to Code (and Blog and Argue)) https://www.gwern.net/GPT-3#literary-parodies (GPT-3 Creative Fiction) https://www.wired.com/story/ai-text-generator-gpt-3-learning-language-fitfully/ (Did a Person Write This Headline, or a Machine?) Resources: Disruption Theory - https://www.youtube.com/watch?v=8V20HkoiNtc (GPT-3 Demo: New AI Algorithm Changes How We Interact with Technology) Forbes - https://www.forbes.com/sites/bernardmarr/2020/10/05/what-is-gpt-3-and-why-is-it-revolutionizing-artificial-intelligence/?sh=5d11d2fd481a (What Is GPT-3 And Why Is It Revolutionizing Artificial Intelligence?) Episode Transcript: Today I'm talking about a breathtaking breakthrough in AI which you need to know about. Some have called it the most important and useful advance in AI in years. Others call it crazy, accurate AI. It's called GPT-3. GPT-3 stands for Generative Pre-trained Transformers 3, meaning it's the third version to be released. One developer said, “Playing with GPT-3 feels like seeing the future”. Another Mind-Blowing Tool from OpenAI GPT-3 is a new AI tool from an artificial intelligence research lab called OpenAI. This neural network has learned to generate natural language by analyzing thousands of digital books, Wikipedia in its entirety, and a trillion words found on social media, blogs, news articles, anything and everything on the internet. A trillion words. Essentially, it's the largest artificial neural network ever created. And with language models, size really does matter. It's a Language Predictor GPT-3 can answer questions, write essays, summarize long texts, translate languages, take memos, basically, it can create anything that has a language structure. How does it do this? Well it's a language predictor. If you give it one piece of language, the algorithms are designed to transform and predict what the most useful piece of language should be to follow it. Machine learning neural networks study words and their meanings and how they differ depending on other words used in the text. The machine analyzes words to understand language. Then it generates sentences by taking words and sentences apart and rebuilding them itself. Supervised vs Unsupervised machine learning GPT-3 is a form of machine learning called unsupervised learning. It's unsupervised because the training data is not labelled as a right or wrong response. It's free from the limits imposed by using labelled data. This means unsupervised learning can detect all kinds of unknown patterns. The machine works on its own to discover information. In supervised machine learning, the machine doesn't learn on its own. The machine is supervised during its training by using data labelled with the correct answer. This method isn't flexible. It can't capture more complex relationships or unknown patterns. Open AI first described GPT 3 in a research paper in May 2020. Then it allowed selected people and developers to use it and report their experiences online of what GPT 3 can do. There's even an informative article about GPT 3 written entirely by GPT-3. Judge for Yourself One researcher used GPT-3 to...