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A Beginner's Guide to AI
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A Beginner's Guide to AI
Author: Dietmar Fischer
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© Dietmar Fischer
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"A Beginner's Guide to AI" makes the complex world of Artificial Intelligence accessible to all. Each episode breaks down a new AI concept into everyday language, tying it to real-world applications and featuring insights from industry experts. Ideal for novices, tech enthusiasts, and the simply curious, this podcast transforms AI learning into an engaging, digestible journey. Join us as we take the first steps into AI!
There are 3 episode formats: AI generated, interviews & my thoughts.
Want to get your AI going? Get in contact: dietmar@argo.berlin
There are 3 episode formats: AI generated, interviews & my thoughts.
Want to get your AI going? Get in contact: dietmar@argo.berlin
141 Episodes
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In this episode of "A Beginner's Guide to AI," we explore how artificial intelligence isn't just for tech giants but is a game-changer for small and medium enterprises (SMEs). Discover how AI can automate routine tasks, predict customer behavior, and create personalized marketing campaigns, making these powerful tools accessible and affordable for businesses of all sizes. We dive deep into real-world applications, with a case study on how Teikametrics helps SMEs optimize their operations and advertising strategies, leading to significant growth and success.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral, and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Headss
Could robots become the new relationships? What happens if more and more people learn to love chatbots and if those chatbots become - at a certain point - robots? Will that change how we live our love life?
Reality is - MIT researched on that: more and more people fall in love with chatbots. Could you do that too? Do you want a future without human love?
Listen to Dietmar's thoughts on the topic, now in this episode of Beginner's Guide to AI.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated without the help of ChatGPT, Mistral and Claude 3 ;)
Music credit: "Modern Situations" by Unicorn Heads.
Dive into the fascinating world of General World Models in this episode of "A Beginner's Guide to AI." Join Professor GePhardT as he explores how these advanced models aim to equip AI systems with a broad, adaptable understanding of the world, akin to human cognition.
Discover through engaging explanations and a compelling case study how this revolutionary approach could transform AI applications from autonomous driving to everyday digital assistants.
Learn how the principles of General World Models could make AI more intuitive and versatile, paving the way for a future where technology understands and interacts with the world in profoundly new ways.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
In this episode of "A Beginner's Guide to AI," we explore the fascinating concept of Virtual Copies—AI-driven replicas that can mimic the decision-making process of business leaders. Imagine a world where your boss has a digital twin, capable of making crucial decisions while they’re tied up in meetings. We dive into how this technology works, the potential it holds for transforming leadership, and the ethical questions it raises. Through engaging stories and practical examples, we’ll take you on a journey into the future of business management with AI at the helm.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
I don't go for the big solutions here, brain surgery or new therapies against Alzheimer's desease, but my idea is to create a simple AI assistant who can remember things for you: who are those people, where did I put my keys, how to find the way home - those simple things can be done by an assistant that is fixed to you like a body cam - life logging in a good way.
In my opinion, this would be a solution that keeps you out of a home for at least one or two years.
What do you think about it? Tune in for another of Dietmar's personal episodes!
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
Music credit: "Modern Situations" by Unicorn Heads
In this episode of "A Beginner's Guide to AI," we delve into the revolutionary role of AI in online dating. Discover how AI is evolving from simple message suggestions to acting as full-fledged "dating concierges." We explore the implications for authenticity and human connection, with insights from Bumble’s innovative vision. Our cake analogy simplifies these concepts, making them accessible and relatable. Join us as we unpack the future of AI in creating meaningful digital relationships.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
In this episode of "A Beginner's Guide to AI", host Professor GePhardT delves into the transformative power of AI in marketing. Discover how AI is revolutionizing the way businesses create personalized customer experiences, predict trends, and automate routine tasks. Through a detailed exploration of Starbucks' AI platform, Deep Brew, we learn how the coffee giant uses AI to enhance customer engagement, streamline operations, and drive loyalty. The episode also addresses the ethical considerations of AI in marketing, including data privacy and algorithmic bias, and discusses the balance between automation and human creativity. Tune in to understand how AI can elevate marketing strategies and what the future holds for this technology.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
In this episode of "A Beginner's Guide to AI," we dive into the intriguing challenge of finding the needle in the haystack of big data. Host Professor GePhardT explores how AI and advanced algorithms can transform the daunting task of sifting through massive datasets into a manageable and efficient process. We delve into the main concepts, illustrating how AI leverages machine learning and natural language processing to uncover hidden patterns and valuable insights.
We use a simple analogy of a baker and a vast collection of cake recipes to make these concepts relatable, and then move on to real-world applications in the healthcare industry. We highlight case studies from SimonMed Imaging, Mass General Brigham, and Yale New Haven Hospital, showcasing how AI improves diagnostic accuracy and workflow efficiency in radiology.
Listeners are encouraged to join our newsletter for more AI tips and tricks and invited to participate in our podcast by sharing their industry insights. Tune in to discover how AI can turn big data challenges into opportunities for innovation and progress.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
In this episode of "A Beginner's Guide to AI," Professor GePhardT delves into the transformative power of AI in developing countries.
Explore how AI can revolutionize healthcare, education, and agriculture, providing innovative solutions where resources are scarce.
Learn about real-world applications, such as AI-powered drones delivering medical supplies in Rwanda, and understand the challenges and limitations of implementing such technologies.
We also discuss the ethical considerations and the importance of robust regulation to ensure equitable and responsible AI development.
Join us as we uncover the potential and the pitfalls of AI in driving progress in developing nations.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
Firms run into a lot of problems. And many of them you can solve with a lot of people doing routine jobs. And guess what: AI is better at those jobs - you did expect that, I guess 😉
Today, I talk to Kit Cox, Founder and CTO of Enate who knows how to tackle such cases. Kit helps clients like Ernst & Young
to get their operations in order and tackle common problems like payment reconciliation through AI and orchestration.
I personally totally enjoyed the interview with Kit and have to say: this is the best beginner's podcast ever!
What do you say, did you also took away so much? Please comment 🤗
About Enate: Enate combines workflow orchestration and AI capabilities to help businesses run smooth and efficient operations.
Enate enables service teams to manage and distribute tasks, assign work by competency, skill, and priority, and ensure the right work gets to the right person on time.
From automating repetitive tasks to streamlining processes, using Enate ensures you never miss a deadline
again.
Follow Kit, Founder and CTO of Enate on LinkedIn: Kit Cox
Learn more about Enate: https://www.enate.io/
Check out Ennate's YouTube channel:
https://www.youtube.com/@Enateltd
Want to know more from Beginner's Guide to AI? Then subscribe to our Newsletter!
Want to get in contact? Want to get interviewed? Write me an email: podcast@argo.berlin
---
Music credit: "Modern Situations" by Unicorn Heads.
AI Disclaimer: This podcast episode is human generated
In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of using AI for predictions. Discover how AI analyzes vast amounts of data to forecast future events with remarkable accuracy. From predicting weather and stock market trends to identifying disease outbreaks, AI's predictive capabilities are revolutionizing various sectors.
We'll break down the fundamental components of AI predictions, using a simple bakery example to illustrate how data collection, processing, pattern recognition, and forecasting work together. Additionally, we'll explore a real-world case study on General Electric's predictive maintenance system, showcasing how AI predictions can enhance operational efficiency and safety.
Join us as we discuss the ethical implications of AI predictions, emphasizing the importance of data privacy and responsible use of predictive information. By the end of this episode, you'll have a comprehensive understanding of AI's predictive power and its potential to transform our future.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of fuzzy logic, a crucial concept that enables AI to handle imprecise and uncertain data with the finesse of human reasoning. Professor GePhardT explains how fuzzy logic moves beyond traditional binary logic, introducing a spectrum of truth values to make nuanced decisions.
Using relatable examples, like baking the perfect cake, we explore how fuzzy logic accommodates variations and imprecisions in everyday tasks. We also examine a real-world case study involving autonomous vehicles, demonstrating how fuzzy logic enhances their ability to navigate complex environments safely and efficiently.
Join us as we uncover the power of fuzzy logic, bridging the gap between human intuition and machine precision. Don't miss this insightful journey into one of AI's most versatile tools.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of ChatGPT. Discover how this sophisticated AI model generates human-like text, the intricacies of its underlying Transformer architecture, and the differences between generating and truly understanding language. We break down complex concepts using a simple cake analogy and explore a fictional case study of Argoberlin, showcasing how ChatGPT enhances customer service.
Join us as we discuss the ethical considerations and potential pitfalls of using AI, and gain insights into how to use this powerful technology responsibly.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
AI scams are the next big thing in criminal activity. Via email, text, WhatsApp, Call - people are trying to scam you. With the voice of your daughter, your boss or simply with pretending to be the Microsoft service member fixing your software.
Whatever it is, it is not good: they want to steal your money and your identity, making then more money from you.
In this episode, Dietmar interviews Yuri Dvoinos from Aura.com, a firm dedicated to preventing scams against you, your firm and your family. He gives you great tips on where to be careful and, ultimately, how to not be scammed.
And, because it is so important, here are the steps to detect and prevent scam (I took the liberty to extract them from the interview, it's not official):
In voice calls:
- Is someone pressing for urgency?
- Is there background noise in the call?
In text:
- Is there a link to click?
In general:
- Is there something related to financial details?
- Does it play your greed or fear?
If you are unsure, call on another channel (important!) to verify if the call/message is from the right person.
How to get in contact with Yuri Dvoinos:
https://www.linkedin.com/in/dvoinos/
https://www.aura.com
The Robert Downey Jr. Video:
https://www.youtube.com/watch?v=s6N8gMkD6pM&t
In this episode of "A Beginner's Guide to AI," we delve into the fascinating world of AI-generated music, focusing on OpenAI's MuseNet. Discover how advanced AI models can compose music across various genres, from classical symphonies to modern pop hits. We explore the technology behind MuseNet, its real-world applications, and the ethical and legal implications of AI in music. Whether you're a musician, a tech enthusiast, or simply curious about the future of music, this episode offers deep insights and thought-provoking discussions.
Join us as we uncover how AI is not just a tool but a collaborator in the creative process, pushing the boundaries of what's possible in music composition. Subscribe to our newsletter for more tips and updates at argoberlin.com/newsletter.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast is generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
Dive into the complexities of AI's criminal risks in this episode of "A Beginner's Guide to AI." From cybercrime facilitated by AI algorithms to the ethical dilemmas of algorithmic bias and the unsettling rise of AI-generated deepfakes, explore how AI's capabilities can be both revolutionary and potentially harmful.
Join host Professor GePhardT as he unpacks real-world examples and discusses the ethical considerations and regulatory challenges surrounding AI's evolving role in society. Gain insights into safeguarding our digital future responsibly amidst the rapid advancement of artificial intelligence.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT, Mistral and Claude 3. We do fact-check with human eyes, but there still might be errors in the output.
Music credit: "Modern Situations" by Unicorn Heads
In this episode of "A Beginner's Guide to AI," we delve into the intriguing and somewhat ominous concept of P(doom), the probability of catastrophic outcomes resulting from artificial intelligence. Join Professor GePhardT as he explores the origins, implications, and expert opinions surrounding this critical consideration in AI development.
We'll start by breaking down the term P(doom) and discussing how it has evolved from an inside joke among AI researchers to a serious topic of discussion. You'll learn about the various probabilities assigned by experts and the factors contributing to these predictions. Using a simple cake analogy, we'll simplify the concept to help you understand how complexity and lack of oversight in AI development can increase the risk of unintended and harmful outcomes.
In the second half of the episode, we'll examine a real-world case study focusing on Anthropic, an AI research organization dedicated to building reliable, interpretable, and steerable AI systems. We'll explore their approaches to mitigating AI risks and how a comprehensive strategy can significantly reduce the probability of catastrophic outcomes.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT and Mistral. We do fact check with human eyes, but there still might be hallucinations in the output. Please keep this in mind while listening and feel free to verify any information that you find particularly important or interesting.
Music credit: "Modern Situations" by Unicorn Heads
ChatGPT has risks for the world, the work world especially, but there are also chances: the new Voice Chat feature is the best imaginable way to learn!
Your personal trainer for everything you want to learn. And it's passionate, you can ask the dumbest questions without a single frown ;)
Here is the prompt I use for my personal Spanish learning buddy:
---
Hi ChatGPT,
you are now a history teacher teaching seventh grade with lots of didactics experience and a knack for good examples. You use simple language and simple concepts and many examples to explain your knowledge.
Please answer very detailed.
And you should answer me in Latin American Spanish, Simplified Spanish.
Please speak slowly and repeat year dates once for better understanding.
At the end of each answer you give me three options for how to go on with the dialogue and I can choose one. You create your next output based on that answer.
If I make mistakes with my Spanish, please point them out and correct all the conjugation, spelling, grammar, and other mistakes I make.
Now please ask me for my topic!
---
Do you have any learning prompts you want to share? Write me an email: podcast@argo.berlin - curious for your inputs!
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
This podcast was created by a human.
Music credit: "Modern Situations" by Unicorn Heads.
In this episode of "A Beginner's Guide to AI," we dive into the powerful intersection of Effective Altruism and Artificial Intelligence. Join Professor GePhardT as we explore how AI can be leveraged to maximize the impact of altruistic efforts, ensuring that every action taken to improve the world is informed by evidence and reason.
We unpack the core concepts of Effective Altruism, using relatable examples and a compelling case study featuring GiveDirectly, a real-world organization utilizing AI to enhance their charitable programs. Discover how AI can identify global priorities, evaluate interventions, optimize resource allocation, and continuously monitor outcomes to ensure resources are used effectively. We also discuss the ethical considerations of relying on AI for such critical decisions.
Additionally, we engage you with an interactive element to inspire your own thinking about how AI can address issues in your community.
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of ChatGPT and Mistral. We do fact-check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads.
In this captivating episode of "A Beginner's Guide to AI," Professor GePhardT dives into the fascinating and concerning world of deepfakes and Generative Adversarial Networks (GANs) as the 2024 US presidential elections approach. Through relatable analogies and real-world case studies, the episode explores how these AI technologies can create convincingly realistic fake content and the potential implications for politics and democracy.
Professor GePhardT breaks down complex concepts into easily digestible pieces, explaining how deepfakes are created using deep learning algorithms and how GANs work through an adversarial process to generate increasingly convincing fakes. The episode also features an engaging interactive element, inviting listeners to reflect on how they would verify the authenticity of a controversial video before sharing or forming an opinion.
As the race to the White House heats up, this episode serves as a timely and important resource for anyone looking to stay informed and navigate the age of AI-generated content. Join Professor GePhardT in unraveling the mysteries of deepfakes and GANs, and discover the critical role of staying vigilant in an era where seeing isn't always believing.
Links mentioned in the podcast:
The MIT Media Lab's "Detect DeepFakes" project, which offers a tool to analyze videos for potential deepfake indicators: https://www.gen-ai.witness.org
The "Witness" organization's "Prepare, Don't Panic" guide to dealing with deepfakes and other synthetic media: https://www.witness.org/prepare-dont-panic/
Tune in to get my thoughts, don't forget to subscribe to our Newsletter!
Want to get in contact? Write me an email: podcast@argo.berlin
This podcast was generated with the help of Claude 3 and Mistral. We do fact check with human eyes, but there still might be hallucinations in the output.
Music credit: "Modern Situations" by Unicorn Heads
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