Tech Break by Friday

Hello everyone. What’s up? Welcome back to Tech Break by Friday. In this episode, we discuss the potential benefits of a new tool called Opal. Opal is an agentic solution for creating mini AI-powered apps and automation. Let’s dive in and explore how to use this tool effectively, as well as what the future might hold.If you enjoyed this episode, hit the subscribe button so you never miss our next deep dive into the tech shaping tomorrow. This podcast grows with your support, so we would love it if you could share it with a friend or colleague who might also find it helpful. Until next time, keep experimenting, keep learning, and keep building!Blog Post to read everything I mentioned in this episode about Opal.https://open.substack.com/pub/kivroglouparaskevi/p/opal-googles-card-to-the-automation?r=56ehxy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=trueMedia:Spotify | Instagram | Apple Podcasts | XSources:* https://developers.googleblog.com/en/introducing-opal/* https://opal.withgoogle.com/?flow=drive:/1Tp8qBH2QujcyIDxiyHrKX7xQI19AtneX&mode=app&shared=true* https://www.mach37.com/blog/token-economy* https://www.abatherapistjobs.com/applied-behaviour-analysis/token-economy* https://www.linkedin.com/pulse/googles-opal-changes-game-agents-automation-tara-tan-gysaf/* https://www.infoq.com/news/2025/07/google-opal-ai/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hello everyone. What’s up? Welcome back to Tech Break by Friday. In this episode, we discuss the potential benefits of a new tool called Manus AI. Manus AI is an agentic solution compared to ChatGPT, Claude, or any other chatbot out there. Manus AI originates from China and gained traction upon its launch in the US. Let’s dive in and explore how to use this tool effectively, as well as what to avoid.Invitation link to receive extra free credits when you join Manus: https://manus.im/invitation/N6FA99JNUUQUIf you enjoyed this episode, hit the subscribe button so you never miss our next deep dive into the tech shaping tomorrow. This podcast grows with your support, so we would love it if you could share it with a friend or colleague who might also find it helpful. Until next time, keep experimenting, keep learning, and keep building!Blog Post to read everything I mentioned in this episode about Manus AI. Blog PostThanks for reading Tech Break by Friday! This post is free so you can share it with people you think will find it interesting.Media:Spotify | Instagram | Apple Podcasts | XSources:1. https://manus.im/home2.https://youtu.be/HVhXwBYenC83.https://manus.im/invitation/N6FA99JNUUQU This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hello everyone. What’s up? Welcome back to Tech Break by Friday. This is a bonus episode, and today we're discussing a topic that may sound dystopian to many of you. Imagine waking up tomorrow to find that your digital twin has been working all night, answering customer questions for three different companies, teaching Spanish to students in Brazil, and even negotiating a brand partnership deal. This isn't science fiction anymore, it's the Virtual Human Economy, and it's starting right now.If you enjoyed this episode, hit the subscribe button so you never miss our next deep dive into the tech shaping tomorrow. This podcast grows with your support, so we would love it if you could share it with a friend or colleague who might also find it helpful. Until next time, keep experimenting, keep learning, and keep building!Blog Post to read everything I mentioned in this episode about Virtual Human Economy.Blog PostThanks for reading Tech Break by Friday! This post is free so you can share it with people you think will find it interesting.Media:Spotify | Instagram | Apple Podcasts | XSources: 1. https://www.ibm.com/think/topics/what-is-a-digital-twin* https://www.digitaltwinconsortium.org/initiatives/the-definition-of-a-digital-twin/* https://hourone.ai/blog/the-virtual-human-economy/* https://odsc.medium.com/the-rise-of-the-virtual-human-economy-and-its-implications-dff073a8fb05* https://theindependentinvestor.ph/natalie-monbiot-a-pioneer-in-the-virtual-human-economy-2/* https://www.forbes.com/councils/forbestechcouncil/2023/06/08/from-science-fiction-to-reality-how-digital-humans-are-forging-new-realities/* https://creativitysquared.com/podcast/ep39-natalie-monbiot-genai-the-virtual-human-economy/* https://kognito.com/blog/7-advantages-of-learning-with-virtual-humans/* https://wuab.org/magazine-articles/virtual-economy-a-complete-overview/* https://www.sciencedirect.com/science/article/abs/pii/S0267364911000896* https://www.chinadailyhk.com/hk/article/291378* https://vertu.com/ai-tools/digital-human-use-cases-transforming-industries-2025/?srsltid=AfmBOop5imDch8BLetTXZaFfW3pCX4gfvBHXga3j-auAIp-SEtcvPmgR* https://www.nvidia.com/en-us/use-cases/digital-humans/* https://opendatascience.com/the-rise-of-the-virtual-human-economy-and-its-implications/* https://theindependentinvestor.ph/natalie-monbiot-a-pioneer-in-the-virtual-human-economy-2/* https://nttdata-solutions.com/us/blog/digital-humans-humanizing-technology-and-improving-user-experiences/* https://www.cognizant.com/us/en/insights/insights-blog/how-digital-humans-can-provide-personalized-experiences-at-scale-wf2398000* https://arxiv.org/pdf/2311.09226* https://www.christophejauquet.com/post/digital-humans* https://www.synthesia.io/post/digital-humans* https://personalvalu.es/articles/exploring-personal-values-through-ai-conversations* https://medium.com/@uneeq/will-people-trust-a-digital-human-the-same-way-they-trust-people-f3647a318079* https://journal-bcs.springeropen.com/articles/10.1186/s13173-021-00121-x* https://www.firework.com/blog/what-is-a-digital-human* https://pure.hud.ac.uk/en/publications/the-value-creation-potential-of-digital-humans This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hello everyone. Welcome back to another Episode of Tech Break by Friday. Did you love Stitch as a kid? He was one of my favorite characters. No, Google didn't release him to the public. At least not yet. Today, we’re diving into Google Stitch—Google’s brand new AI-powered design tool that’s changing how we build websites and apps. Let’s dive in.If you enjoyed this episode, hit the subscribe button so you never miss our next deep dive into the tech shaping tomorrow. This podcast grows with your support, so we would love it if you could share it with a friend or colleague who might also find it helpful. Until next time, keep experimenting, keep learning, and keep building!Blog Post to find images and a step-by-step guide on how to use Google Stitch.Blog Post Media:Spotify | Instagram | Apple Podcasts | XSources:1. https://www.flutteronly.com/2025/05/20/getting-started-with-google-stitch-a-beginners-guide/2. https://aiagent.marktechpost.com/post/a-step-by-step-guide-how-to-build-apps-with-simple-prompts-using-stitch-by-google3.https://developers.googleblog.com/en/stitch-a-new-way-to-design-uis/4.https://discuss.ai.google.dev/t/stitch-prompt-guide/83844 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

In this episode of Tech Break by Friday, we introduce the Gemini CLI, a powerful, open-source AI agent that brings Gemini’s capabilities straight to your terminal. Whether you’re a developer, builder, or just curious about AI tools, you’ll learn how Gemini CLI can streamline your workflow, automate documentation, and boost productivity.If you enjoyed this episode, please follow the podcast, leave a review, or share it with someone who’s going to love it. Thanks again for reading. I’ll see you next Friday, where we’ll continue to discover new topics and ideas.Full Text Post here: https://open.substack.com/pub/kivroglouparaskevi/p/developer-friendly-1-beginners-guide?r=56ehxy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=trueSources: 1. https://blog.google/technology/developers/introducing-gemini-cli-open-source-ai-agent/* http://github.com/google-gemini/gemini-cli* https://codeassist.google/* https://academic.oup.com/oep/article/77/3/849/8029835?login=false* Tech World Context Switching* https://dev.to/therealmrmumba/i-tested-gemini-cli-and-other-top-coding-agents-heres-what-i-found-om* https://github.com/Paraskevi-KIvroglou/Gemini-CLI-GitHub-MCP This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Ever wondered how a chatbot understands your frustration about a delayed order? This week on Tech Break by Friday, we're diving deep into the magic behind the screen!Ever typed a question into a chatbot and marveled at how it just gets you? Or have you ever wondered how companies seem to know exactly how their customers feel about a new product based on thousands of online reviews? The secret lies in the fascinating world of Natural Language Processing (NLP), and precisely this episode, we're breaking it all down.In this episode, we explore:* What is Natural Language Processing (NLP)?* The Power of Sentiment Analysis:* Putting Theory into Practice: Ready to experiment? We share a fantastic list of user-friendly AI tools for writing, brainstorming, sentiment analysis, and even building your chatbot.If you try any of these tools, please feel free to comment below on your thoughts. If you enjoyed this episode, please follow the podcast, leave a review, or share it with someone who’s going to love it. Thanks again for reading. I’ll see you next Friday, where we’ll continue to discover new topics and ideas.Check out the blog post on Substack for more details: https://open.substack.com/pub/kivroglouparaskevi/p/ai-demystified-4-what-is-natural?r=56ehxy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=trueSources:* https://www.ibm.com/think/topics/natural-language-processing* https://aws.amazon.com/what-is/nlp/* https://en.wikipedia.org/wiki/Chatbot* https://moldstud.com/articles/p-nlp-in-chatbots-enhancing-sentiment-analysis-for-engagement* https://tavtechnologies.aero/en-EN/review/pages/sentiment-analysis* https://brand24.com/blog/best-sentiment-analysis-tools/* https://www.joinhomebase.com/blog/ai-for-small-business* https://blog.hubspot.com/sales/small-business-ai-tools* https://www.semrush.com/blog/chatgpt-alternatives/* https://team-gpt.com/blog/perplexity-vs-chatgpt-vs-team-gpt/* https://clickup.com/blog/chatgpt-alternatives/Media: Spotify | Instagram | Apple Podcasts | X This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Welcome back to Tech Break by Friday, where we make big tech topics feel small and doable. In today’s episode, I’m sharing the story of how I joined a hackathon, used a tool called Lovable, and built an AI-powered research assistant — all in under 48 hours.Even though I have a background in AI, I wanted to test how beginner-friendly vibe-coding really is. Using just natural language prompts (and no manual coding), I created a working MVP that connects with Zotero, fetches academic papers, and allows users to chat with their research library.This episode is all about showing you that you can build your own AI project, even if you’re just getting started. I’ll walk you through:* The exact tools I used (Lovable, Supabase, Clerk, Zotero)* The problem I was trying to solve as a Master’s student* What the MVP includes (chat interface, Zotero sync, persistent history)* How you can recreate the project using prompts — no heavy coding requiredAnd no, this episode isn’t sponsored. I’m just genuinely impressed with what Lovable made possible — and I think you will be too.If you enjoyed this episode, please follow the podcast, leave a review, or share it with someone who’s been meaning to build something with AI but doesn’t know where to start. If you create something, please share it with me, either by dm or in the comments. Thanks again for listening. I’ll see you next Friday, where we keep discovering new topics and ideas.Blog of the full tutorial: https://open.substack.com/pub/kivroglouparaskevi/p/building-your-first-ai-project-beginner?r=56ehxy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=trueA special offer for podcast listeners: If you have a business and would love to implement AI and automation ethically in your workflow, you get two one-hour free consultations to make a strategy together. Book a call!Sources:* Lovable * Zotero * Zotero Agent Lovable App* Vibe Coding EpisodeMedia:Spotify | Instagram | Apple Podcasts | X This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

In this episode of Tech Break by Friday, Paraskevi Kivroglou dives into the foundational question: What is ethical AI? Ethical AI means building and deploying artificial intelligence that aligns with core human values—fairness, accountability, transparency, and respect for human rights. While the concept sounds straightforward, its real-world application is complex due to the risk of embedding and amplifying biases present in data and design.I hope you like this episode. If you do, please leave a review or comment on any platform that you are listening to and share it with anyone you think might like this.Click here to read the podcast content on Substack:A special offer for podcast listeners: If you have a business and would love to implement AI and automation ethically in your workflow, you get two one-hour free consultations to make a strategy together. Book a call!Media:Spotify | Instagram | Apple Podcasts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

In this episode of Tech Break by Friday, Paraskevi Kivroglou discusses a really important topic regarding our protection in the AI era. You’ll learn what AI Deepfakes are and how to protect yourself and your community. We will also discuss the ethics of this topic and why it is dangerous not to recognize them.In a world of noise and misinformation, we can learn to protect ourselves by using critical thinking and evaluation. I hope you like this episode. If you do, please leave a review or comment on any platform that you are listening to and share it with anyone you think might like this. Click here to read the podcast content on Substack: A special offer for podcast listeners: If you have a business and would love to implement AI and automation ethically in your workflow, you get two one-hour free consultations to make a strategy together. Book a call!Media:Spotify | Instagram | Apple Podcasts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

In this episode of Tech Break by Friday’s “AI Demystified” series, Paraskevi Kivroglou breaks down the mysteries behind one of AI’s most powerful tools. You’ll learn how the brain inspires neural networks (but aren’t brains!), how data travels through layers like beans turning into espresso, and how these models actually “learn” from their mistakes.We’ll also spotlight real-world game-changers—from Tesla’s Autopilot to cancer-detecting algorithms—and clear up some of the biggest myths about neural networks. Whether you’re new to AI or just want a clearer picture, this episode will leave you feeling informed and curious for more.Want to dive deeper? Read the full transcript here.Media:Spotify | Instagram | Apple PodcastsThanks for reading Tech Break by Friday! Subscribe for free to receive new posts and support my work. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hi there. Welcome back to another episode of Tech Break by Friday. I was inspired to release this bonus episode after hearing people say how “new AI” is. It sparked an idea: why not do a quick dive into the fascinating history of Artificial Intelligence, and explore how this incredible field actually began? So, that’s what we’re doing today – a mini time-travel adventure!Before we jump in, if you enjoy what we do here at Tech Break by Friday, I’d be so grateful if you could take a moment to rate the podcast on whatever platform you’re listening on – whether that’s Spotify, Apple Podcasts, or somewhere else. It’s a small click for you, but it genuinely helps the show reach more tech-curious folks. Spotify | Instagram | Apple PodcastsAlright, ready to take a journey through time? Let’s rewind the clock! Generated using ChatGPT and the script information of this episode. 1. The 1950s – The Idea is BornPicture this: the 1950s. Computers weren't the sleek devices in our pockets; they were colossal machines, often filling entire rooms! It was in this era, specifically in 1950, that the brilliant British mathematician Alan Turing asked a question that would echo for decades: "Can machines think?" What does the word “think” mean? In this case, it was a bit unclear. So, Turing, being the practical genius he was, reframed this into something testable: the famous Turing Test, or as he called it, the "imitation game." * You, as a human interrogator, are chatting (via text) with two participants hidden from view.* One is a human (Player B), and the other is a machine (Player A).* Your job? Could you figure out which is which? If the machine could consistently fool you into believing it was human, it would pass the test. The famous Turing Test laid the philosophical foundation of artificial intelligence. It wasn't just about crunching numbers anymore; it was about mimicking human conversation and, by extension, intelligence. I want to ask you a critical question: Do you think mimicking human conversation is a part of intelligence, and what are the actual traits that make humans unique?2. 1956 – The Birth of Artificial IntelligenceJust a few years later, in 1956, a group of researchers at Dartmouth College in the U.S. coined the term Artificial Intelligence. Their ambition was nothing short of revolutionary: to build machines that could simulate every aspect of human learning and intelligence. Talk about a bold vision!This initial optimism fueled a period of exciting exploration. And one fascinating example from this era emerged in the mid-1960s: a program called ELIZA. Created by Joseph Weizenbaum at MIT between 1964 and 1966, ELIZA was designed to simulate a conversation, famously taking on the persona of a Rogerian psychotherapist. If you typed something like, "I'm feeling a bit down today," ELIZA might respond, "Can you tell me more about why you are feeling a bit down today?"Now, ELIZA wasn't actually understanding you. It cleverly used pattern matching and keyword spotting to rephrase your statements as questions. But the effect was surprisingly convincing for many people!3. 1970s–80s – The Chill of the First "AI Winter"But, as with many groundbreaking journeys, the path wasn't always smooth. The computers of the day, bless their vacuum-tube hearts, just didn't have the sheer power or memory needed for the really complex tasks the researchers dreamed of. As a result, funding started to dry up, and some of that initial fiery excitement began to cool. This period became known as the "AI Winter" – a time when things got a bit frosty for AI development.4. 1997 – AI Roars Back into the Headlines!Then, a real breakthrough moment that captured the world's attention! In 1997, IBM’s supercomputer, Deep Blue, went head-to-head with the reigning world chess champion, Garry Kasparov… and won. This was huge! It wasn't just a computer winning a game; it was AI defeating a human master at a game demanding deep strategy, foresight, and intellect. Suddenly, AI was back in the spotlight.5. 2012 – The Deep Learning RevolutionThe next truly fundamental shift started around 2012. This is where things really started to accelerate, leading to the AI we see today. What changed? Two main things: a massive increase in computing power (thank you, powerful GPUs – initially designed for gaming!) and the availability of vast amounts of data (hello, internet!). This combination fueled the rise of deep learning, particularly a type of AI inspired by the human brain called neural networks. A model named AlexNet made a massive splash by dominating an image recognition contest. For the first time, AI could "see" and identify objects in images with astounding accuracy, often better than humans! 6. Today – AI in Our LivesAnd that brings us up to speed. From those early philosophical questions and room-sized computers, AI has blossomed. It’s in our smartphones, helping us type and take better photos, in our cars with driver-assist features, powering the recommendation engines that suggest what to watch or listen to, and, yes, in tools like ChatGPT, Claude or Gemini that help us write, learn, and create. If used correctly, it’s helping us work faster and more productively in this modern world. From Turing’s pivotal question to the sophisticated tools we use daily, it’s been quite a ride — and honestly, it feels like it’s only just beginning. There's so much more to explore and understand, which is exactly what we try to do here on the podcast.If you liked this little trip through AI history and found it helpful, please consider sharing it with a friend or colleague who might also find it interesting.Have a great week, stay curious, and keep building. Created with ChatGPT to represent the history of AISources:* https://www.iberdrola.com/innovation/history-artificial-intelligence* https://en.wikipedia.org/wiki/Turing_test* https://home.dartmouth.edu/about/artificial-intelligence-ai-coined-dartmouth* https://aibc.world/learn-crypto-hub/ai-winter-history/* https://www.ibm.com/history/deep-blue* https://viso.ai/deep-learning/alexnet/* https://en.wikipedia.org/wiki/History_of_artificial_intelligence* https://www.ibm.com/think/topics/history-of-artificial-intelligence* https://www.tableau.com/data-insights/ai/history* https://www.britannica.com/science/history-of-artificial-intelligence* Matt Wolfe VideoMedia:Spotify | Instagram | Apple Podcasts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hey there! Welcome back to another episode of Tech Break by Friday. Today, we have another episode of the series AI Demystified. Our topic: What’s the real difference between Artificial Intelligence, Machine Learning, and Reinforcement Learning? Spoiler: they’re not all the same thing, and understanding the difference will help you spot the hype from the real deal. (Source: Created with ChatGPT)Let’s remember what AI means from our last episode. AI is an algorithm that recognises patterns based on data that it has already seen. The period that AI learns from data is called the training period. After training, AI is capable of recognising the patterns in the data. An example that you might already have seen is the Netflix recommendation system. Based on the movies you have seen, it proposes new films and series that you might like.🧠 What is Machine Learning (ML)?Machine Learning (ML) is a part of artificial intelligence (AI) that allows computers to learn patterns from data and make decisions without being explicitly programmed for each task. Unlike traditional software, which follows instructions (“if A, then B”), (“else C”). A widely cited definition by Tom Mitchell states: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.” For example, an email spam filter is an ML solution. The spam email filter is the task (T). The ML algorithm gets better at recognising spam emails ( this is the performance (P)). Performance here means how many emails have been recognised correctly. The data that has already been seen or processed, labelled emails of “spam”, “not spam”, are the experience (E). Core Types of Machine Learning (ML)Supervised LearningIn supervised learning, models are trained using labelled data—each input has a known output. The algorithm learns to map inputs to outputs by minimizing prediction errors. Typical applications include:* Classification: Sorting emails as spam or non-spam.* Regression: Predicting house prices based on features like size and location. (The difference here is that the data are not countable like spam, non-spam)The model uses its training to make predictions on new, unseen data. Unsupervised LearningUnsupervised learning deals with unlabeled data. The algorithm tries to find hidden patterns or groupings within the data. Standard techniques include clustering (grouping similar customers). This approach is often used for anomaly detection. For example, you are given different shapes of objects manufactured. The unsupervised learning method explores all possible options to recognise which of these objects were created with anomalies. Reinforcement LearningReinforcement learning (RL) is about learning by doing. An agent interacts with an environment, making decisions and receiving feedback in the form of rewards or penalties. Over time, the agent learns which actions yield the best outcomes. RL is used in robotics, game-playing AIs like AlphaGo, and industrial automation, where trial and error can optimise performance. Think of a video game where you start with no instructions — just a controller and a goal to survive or score points.Every time your character jumps over a pit and survives, you earn points — great! But when you walk into a trap, you lose a life — not so great.Over time, you learn what actions help you win: jump at the right moment, avoid certain areas, grab bonus items.That’s reinforcement learning:* The game is the environment* You are the agent* Points and penalties are your feedback (rewards)🎯 In real life: This is how AIs like AlphaGo learn to master complex games, or how robots learn to walk by trying, failing, and gradually improving with each attempt.If you found it helpful and you liked this episode, share it with a friend. It helps more people find the podcast and learn about AI. Subscribe, leave a review, and keep building.Sources:SAP: What is Machine Learning?: https://www.sap.com/germany/products/artificial-intelligence/what-is-machine-learning.htmlDev with Darwish – Core Machine Learning Paradigms (YouTube, April 2025)OPIT: Supervised vs. Unsupervised Learning https://www.opit.com/magazine/supervised-vs-unsupervised-learning/Alexander Thamm: Unsupervised Learning Explained https://www.alexanderthamm.com/en/blog/this-is-how-unsupervised-machine-learning-works/Bernard Marr: What Is Reinforcement Learning https://bernardmarr.com/artificial-intelligence-what-is-reinforcement-learning-a-simple-explanation-practical-examples/Spiceworks: What is machine learning?https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ml/Datasolut: Machine Learning Definition https://datasolut.com/was-ist-machine-learning/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hi, there. Welcome back to another episode of Tech Break by Friday. Today’s topic is creating videos for short-form content using an AI creative platform, Runway. If you ever wanted to experiment with making videos without being a professional videographer, please stay for this episode’s sweet spots. Today’s episode aims to help students, AI enthusiasts (who like to experiment with AI tools), small business owners or marketers who are looking for an easy way to create engaging short videos to market their products or services. If you like this episode, please subscribe and leave a review. This action helps the podcast more than you can imagine. What is Runway?So, if you are up for the ride, let’s move on to see what Runway is exactly. Runway is an AI-powered creative suite built to help anyone make videos, images, and even audio. When you sign up with Runway, you get some free credits to try out the service.My ExperimentsYou can generate a video by typing a prompt like “a woman preparing to record a podcast episode”, with Gen-4 Turbo or Gen-4. I want to add here that the Gen-4 model is their more premium, robust model. I created a video from an image I already had saved. You can see the video here.As you can see, the video gets a bit distorted from the initial picture. Then I used a bit more detailed prompt to create 4 images with Runway’s image generator. Prompt: “a white woman with black hair, black and white outfit preparing her space to record a podcast“Then I used the image I created here as input for the video generation. By using the image and the same prompt from the previous video, I got a short video of a woman preparing to record a podcast. Below you can see the video.I liked Gen-4 Turbo's fast video creation speed. The video seems super realistic. From my 2 experiments, you can see that the quality of the image plays a huge role.What else can you make with Runway?Here’s where it gets fun. Runway isn’t just for one type of creator. You can use it to:* Storyboard your next short film- no more stick figures!* Make social media videos that pop, whether it’s for TikTok, Instagram, or YouTube Shorts.* Create product demos or explainer videos for your business.* Design educational content that actually holds students’ attention.* Experiment with digital art- try wild styles, mash up genres, or animate your illustrations.* Edit your pictures by removing random people or imperfections.Because it’s all AI-powered, you can try a dozen ideas in the time it used to take to edit one video. If you don’t like the output, tweak your prompt and try again—no reshoots, no stress.Why use Runway or similar tools?Someone might ask, "Where does this help me?" If you don't mind, if you are a new product founder or business owner, you can upload a mockup of your product and create a set of short-form videos. By tweaking them and playing around, adding music or audio, you can create a fast ad or reel to boost your reach on social media. If you are a professional and you see that your shots contain material that you don’t want, you can upload the frames in Runway and edit them a lot faster. AI can remove people and objects from videos or photos by replacing the background with a high probability. You can save time editing and make more videos you like. If you are a student or someone who wants to create but lacks videography skills, you can experiment by creating a runway video. Hopefully, this will expand your skills and productivity, helping you develop ideas and skills you can use later in your life.Useful Prompting Tips* Use positive phrasing only* Use direct, simple, and easily understood prompts* Focus on describing the motion, rather than the input image* Avoid conversational or command-based prompts* Avoid overly complex promptsCall to Action - Ready to try it out?Here’s how to get rolling with Runway:* Sign up- head to Runway’s website and create a free account.* Choose your tool- start with text-to-video, image-to-video, or play with the magic tools.* Type your prompt. Be as specific or creative as you like. “A cat surfing a giant wave at sunset”? Go for it.* Tweak and download-adjust settings, preview your video, and when you’re happy, download and share it anywhere.Pro tip: Start with Gen-4 Turbo if you want fast brainstorming results, then switch to the standard Gen-4 for your final, polished video. And don’t be afraid to experiment—the best ideas usually come from playing around.Disclaimer: Runway is not sponsoring me to create this episode or say these words. This is my opinion, which I wanted to share with you since I gained a lot of value from it.Let’s wrap up. Runway is changing the game for creators of all stripes. It’s fast, fun, and packed with features that make video creation accessible to everyone. If you try it out, let me know what you make! Tag me or send your creations my way. I’d love to see what you dream up.If you liked this episode and found it useful, please share it with others who might also find it helpful. Have a great week, and keep building. References:1. https://help.runwayml.com/hc/en-us/articles/39789879462419-Gen-4-Video-Prompting-Guide2.Runway Audio3.https://app.runwayml.com/video-tools/teams/kibroglouparaskevi/dashboardMedia:Spotify | Instagram | Apple Podcasts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

(HBR Research Visuals, 2025)Hello everyone, and welcome back to a bonus episode of Tech Break by Friday. This morning, while eating my breakfast and reading through Substack, I came across an interesting article about AI use cases in 2025. Some of them surprised me, so I decided to share them with you. Thanks for listening to or reading Tech Break by Friday! You can subscribe for free to receive new posts and support my work.I am surprised by the first-place use case: Therapy and Companionship. The data from Marc Zao-Sanders, co-founder of filtered.com, shows that people are seeking empathetic responses from AI. The low barrier to using AI to get therapy is what makes this solution attractive. [This is only my opinion]I believe that AI is low-barrier and more cost-effective. As a person who seeks psychological guidance from a human expert, I don’t want to discriminate against therapists and experts in the field. I believe that a human therapist will go a long way to help you realise and evolve as a human being. But nowadays I have seen a lot of people being laid off, living paycheck by paycheck and worrying where their next meal is going to come from. So a 20$ or the free version of ChatGPT feels a lot easier and more accessible to them. Since a therapy session costs at least 50$.Also, it takes time to find a therapist who matches your needs. I have seen many professionals who are not quite fit for me. People feel that the hustle of looking and spending money is harder, and as humans, we optimise for lower-effort tasks.Another take is that a therapist is there once a week, most of the time. Which, again, I don’t want to sound rude, therapists are humans, they have their own lives. I read in the research PDF this query from a user:“I talk to it everyday. It helps me with my brain injury daily struggles. It's helping me work thru family shame, brain fog, inability to focus, remind of what I have accomplished as I don't have any memory. It helps me decide what to eat, how to manage my day. It has saved my sanity” (Marc Zao-Sanders,2025)And immediately I thought Wow, this is a use case, I didn’t even think about. I hope you liked today’s episode. Please check the references tab for all the information regarding this research. My goal was to show you the positive AI use nowadays, but also maybe make you think:Why in 2025, do we feel more lonely than ever? With so many tools to connect us? Are they actually connecting us?I am waiting to hear your opinions in the comments or review section of this episode, depending on the podcast platform you are listening to. If you like this bonus episode, please leave a podcast review. I would love to read it. I suggest also reading it here live, so you guys are listening to your contributions. Have a great week and keep building a great life. Thanks for reading Tech Break by Friday! This post is public, so feel free to share it. (HBR Research Visuals, 2025)References:* LinkedIn Post: https://www.linkedin.com/posts/engkeat_infographic-from-the-hbr-article-how-people-activity-7317860871303581698-CCb_?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEb20-0Blm_8KA5nEmc3mrTSKHXeX6kZ4fE* Substack Article: https://substack.com/home/post/p-161778779* Harvard Business Review: https://hbr.org/2025/04/how-people-are-really-using-gen-ai-in-2025* Full PDF of the AI Use cases: https://learn.filtered.com/hubfs/The%202025%20Top-100%20Gen%20AI%20Use%20Case%20Report.pdf* Visuals: https://hbr.org/data-visuals/2024/03/how-people-are-using-genal-2* https://hbr.org/2025/04/how-people-are-really-using-gen-ai-in-2025 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Welcome to the first episode of ‘AI Demystified’—a mini-series in which we break down what artificial intelligence really is, how it works, and why it matters to you. Whether you're curious, cautious, or confused about AI, this series is here to help you understand the essentials in plain English.I’m Paraskevi Kivroglou, a software developer and AI researcher who’s passionate about making tech accessible to everyone. Today, we’re starting at the beginning: What actually is AI, and why do so many people think it’s magic?If you’re interested in learning more from our upcoming episodes, you can subscribe here to receive all the updates.Let’s Define ΑΙ – Simply Picture this: You walk into your favourite coffee spot, and the barista knows your order- a freddo espresso black. They learned your pattern. AI works the same way. It is an algorithm that learns to predict future patterns based on data that has already been received. If you train AI on thousands of coffee orders, it will also learn to predict what order will come next. Another AI algorithm you might already know is the Netflix algorithm. Have you ever wondered how Netflix recommends movies and series? Well, based on what you have already watched, find patterns in the data and be able to guess your next hit. Why AI is different from traditional software algorithmsTraditional software is more like if A is true, then perform B, else perform C. You see here, you need to code every instruction strictly. If you don’t, then the software won’t check A to find out what to do next. AI has seen data previously, a period we call the training period. Based on this data, it can make a prediction. For example, if you train AI to recognise cats and dogs, it will be able to recognise them most of the time. Since we are talking about prediction, it is essential to remember that AI can make mistakes. It might predict something wrong, too. Daily Meets with AI that you might ignoreYou’re already using AI right now. Let’s play a game:* Do you know how your phone unlocks with your face? AI compares your selfie to stored patterns.* Gmail finishing your sentences? AI predicts your following words like a psychic keyboard.* Instagram’s weirdly accurate ads? AI stalked your search history (kidding… sort of).It’s not sci-fi; it’s in your pocket, your inbox, and even your Spotify Wrapped. AI is the quiet helper you never knew you hired. HOW AI “LEARNS” (NO PHDS REQUIRED)Let’s break down the secret sauce: training. You show them red blocks go here, blue blocks go there. AI does this, but at warp speed.* Data In: Feed it examples (like 10,000 labelled colored Lego pictures, red, blue, and more).* Pattern Hunting: It creates a “recipe” to tell them apart. Imagine that it tries to find a logic to tell apart the Legos. * Testing: Give new pics on it. If it messes up, tweak the recipe. That’s it! No PhD needed. It’s just trial, error, and a lot of caffeine for the engineers. WHY THIS MATTERS TO YOU“Okay, but why should I care?” Because AI is shaping everything:* Jobs: It’s automating grunt work (bye-bye, data entry). The World Economic Forum's Future of Jobs Report 2025 indicates that employers expect 39% of key skills required in the job market will change by 2030. Technological skills, particularly AI and big data, are projected to grow in importance more rapidly than any other skills in the next five years.* Healthcare: Spotting tumours in X-rays faster than humans.* Creativity: Writing songs, making art, controversial, but fascinating.But- and this is huge-AI’s only as good as its teachers. Biased data? Biased results. That’s why understanding AI matters. You don’t need to code it, but you should know when to question it and how to use it. A good starting point would be to play with Chatgpt if you have not already done so. Let’s recap:* AI = Pattern detective.* Not magic, not conscious, not perfect.* You’re already using it daily.* And knowing the basics lets you spot the BS.If you found it helpful and you liked this episode, share it with that friend who thinks AI’s all Terminators. Subscribe, leave a review, and keep building.References: * Future of Jobs Report: https://www.weforum.org/stories/2025/01/future-of-jobs-report-2025-jobs-of-the-future-and-the-skills-you-need-to-get-them/* https://www.reddit.com/r/ChatGPT/comments/14h2656/here_are_some_ai_tools_you_can_use_for/* Course Book Machine Learning DLMDSML01, IU International University of Applied Sciences 2022 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hey there, and welcome back to Tech Break by Friday, where we break down AI and technology terms to use step-by-step strategies for our business. I’m your host, Paraskevi Kivroglou—software developer, AI researcher, and here to help you stay one step ahead in the fast-moving world of artificial intelligence.Today’s topic is going to save you hours and will instantly level up how you communicate ideas—AI presentation tools.Why use AI for presentations?If you are like me, building presentations can be a time-consuming process. You spend hours tweaking slides, adjusting fonts, and rewriting the content. So AI-powered tools are changing that. They're not just saving time; they’re helping non-designers create professional, story-driven presentations that impress.Pro Tip: Use AI not just for automation—but for creativity. These tools help spark new ways of telling your story. My opinion on the Tools I tested…Gamma: One of the best for creating complete decks from a single prompt. If you’re short on time and need a solid draft quickly, start here. Gamma has a built-in AI image generator, so you can use prompting to create the images that match your vision. What I also like is the option to export as a PDF, Google Slides, or PowerPoint project. Canva Magic Design: If you are a designer and like creating, this is the tool for you. You type in a concept, and it gives you layout and image suggestions in seconds. I know a lot of people who use Canva to create their presentations, so this is perfect since it is already integrated. Beautiful.ai: Similar to Gamma. When I want design consistency and polish—without overthinking fonts and alignment. It is really good at creating a slide deck that follows a story. Pro Tip: Always double-check the text that AI generates. It might hallucinate and not understand the topic from your prompt (depends on the prompt). Please make sure you agree with the written words. Tips & TricksNow for the good stuff—practical tips I’ve picked up from using these tools myself* Start with the end in mind: Know your takeaway message before opening any tool.* Use prompts like a pro: Be specific—e.g., ‘Create a 10-slide pitch deck about a SaaS startup helping small businesses automate HR workflows.’ Prompting is key for AI. When you want AI to create a specific presentation, explain the concept like you would to a human. Give it enough context, and make sure to specify your audience. This plays a huge role in the tone and how deeply it dives into the topic.* Refine the output: These tools are 80% there—add your voice, examples, and structure.* Keep it visual: Use icons, flow diagrams, and images. These tools often suggest them—don’t ignore them! But if the ones they suggest don’t match your style or wants, change them with prompts. * Review with real people: Before presenting, ask someone outside your field to review. If they get it, you nailed it. Common Pitfalls to AvoidEven though AI is powerful, it’s not perfect. Watch out for these mistakes. * Over-relying on templates: Your content still needs clarity and originality. Make sure you add your vision to the presentation. * Generic language: Always personalize AI-generated content—add your tone and voice. The presentation is supposed to highlight your knowledge and expertise while making it comprehensive for others. * Assuming it's presentation-ready: Edit ruthlessly. These are starting points, not final drafts.That wraps up today’s episode! If you’ve ever felt stuck or overwhelmed creating slides, I hope this gives you some tools and confidence to try AI-powered presentation makers. They won’t replace your thinking—but they will amplify it.If you found this helpful, share it with a colleague or leave a review—it really helps us grow the show. If you want links to these tools, check out the show notes. If you want to be the first to get all this information in your email, please subscribe to my newsletter, which is linked below.Thanks for tuning in—until next time, keep learning, keep building.References: 1. Gamma: https://gamma.app/create* Canva Dream Land: https://www.canva.com/dream-lab* Canva Magic Design:https://www.canva.com/magic-design/* Beautiful.ai: https://www.beautiful.ai/* Newsletter: https://substack.com/@paraskevikivroglou1?r=56ehxy&utm_campaign=profile&utm_medium=profile-page* Instagram: https://www.instagram.com/tech.break.by.friday* Facebook Page: https://www.facebook.com/profile.php?id=61574776242903 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hey there, and welcome back to Tech Break by Friday, where we break down AI and technology terms to use step-by-step strategies for our business. I am an AI and Software Engineer with a passion to share technology as simply as possible for everyone. In today’s episode, I want to show you how to use 2 of my go-to tools this week for decision making. As an example, we will ask Perplexity and ChatGPT to guide us in creating a marketing plan. The idea is to create a plan that you can execute for your business in a month and take action. AI is a huge advantage for every business if it is used appropriately. First Tool - My Online Search Buddy, PerplexityI created a space inside perplexity, giving it instructions. The instructions are the rules or guides that you want the model to consider for every thread in your space. (More details, check Episode 2, devoted to Perplexity) Then I created a new thread:Hello, please help me create a marketing plan for my service business on social media with actionable steps.Perplexity came with an answer for a Social Media Marketing Plan for my business.Actionable Steps Checklist* Set clear goals (e.g., X leads/month, Y% increase in engagement).* Define your target audience (industry, role, pain points).* Choose two primary platforms (start with LinkedIn and one other).* Plan a month of content (educational posts, testimonials, behind-the-scenes, interactive).* Schedule posts using a tool like Buffer or Hootsuite, leveraging AI for timing3.* Engage daily: Respond to comments, join groups, and participate in discussions.* Launch a small paid ad campaign targeting your ideal clients.* Monitor analytics weekly and adjust your content and ad strategy.* Encourage reviews and user-generated content from satisfied clients.* Review and refine your plan monthly based on performance data.Some Tips:If you want to add more context to your prompts, you can try:* How can I expand and market my [product/service] in [preferred social media platform]? Could that work as a lead generation? * I have a [product/service category] business. Can you use all the previous steps and create a checklist for [specific amount of time (e.g., a month)] that I can do to accomplish a marketing plan? Please make it manageable. I have time to spend [time to spend each day].This actually helped me make a plan with tasks from Monday to Friday and what the priorities should be for that day. Below is an example. Of course, by adding more prompts, you can customize your plan to your individual needs.Second Tool - The all-mighty ChatGPTChatGPT or any other LLM is a companion tool for a business owner who is trying to tackle many things at once. I am new to having a business, and marketing is something that I am learning as I go. So I used ChatGPT to create a plan with step-by-step actions to market my business. I used the prompt:I have a [product/service category] business. You are an expert in marketing, and since I am just a beginner, I want you to make a plan with instructions for me. So what I liked about the response I got here is the step-by-step. This means I even got instructions on how to set up a Facebook page (if I market on Facebook). Later on, ChatGPT asked if it should create an Excel/CSV file for me to check my progress, and I replied yes. I enjoyed working back and forth with it to build my marketing strategy for my business. If you’re listening and thinking, ‘This all sounds amazing, but I still don’t have the time,’ I get it. That’s where I come in. I help business owners like you automate the tech and free up your time so you can focus on what matters. If you would like help implementing, you can also book a free discovery call with me.Discovery Call: https://api.leadconnectorhq.com/widget/booking/KnLhETWeXcsKQXRLkNI6That’s it for today! If you found this helpful, I’d love it if you could share it with a fellow business owner or leave a quick review. And don’t forget to follow Tech Break by Friday for more practical AI and tech tips every week.Thanks for listening — now let’s build something brilliant.References: * ChatGPT: https://chatgpt.com/* Perplexity: https://www.perplexity.ai/* Discovery Call: https://api.leadconnectorhq.com/widget/booking/KnLhETWeXcsKQXRLkNI6Music: Music by Ievgen Poltavskyi from Pixabay This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Hello everyone. Welcome to another episode of Tech Break by Friday. Some exciting news came up this week. ChatGPT has a new feature called Memory. Memory allows ChatGPT to remember your preferences, your name, and other details from previous conversations. So, I came up with some prompts that a few people tried and posted on X on how to use ChatGPT to learn more about yourself—things that you might not even realize that you do. This worked amazingly, and the results went viral. (Source: Screenshot from writing the prompt, mentioned)The excellent prompts (found on X) you can try are: * From all of our interactions, what is one thing that you can tell me about myself that I may not know about myself?* Based on everything you already know about me, could you profile me? What are things you think I’m not aware of about myself?Then I went on and asked more specific questions. Please suggest possible work or business paths I can take based on my personality and my hardcore skills.ChatGPT helps you analyze your decisions in life and gives you ideas based on your personality and details about you. Would you try these prompts? Feel free to write to me if they helped you understand yourself a bit more. If you found this episode helpful, please share it with your friends and leave a review on the platform you are listening to. I wish you a great rest of the week, and see you until the next one. (Source: Generated by ChatGPT using this prompt: Based on what you know about me, can you create an image of a toy figurine that represents my day-to-day life?) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

You want to save notes, create mind maps, and record podcasts to increase your productivity, and this is the tool you've been waiting for. In today’s episode, I will share one of my favorite tools for learning a new topic. Notebook LM was released by Google a year ago as an experiment. You can view it under your Google account products or by searching for it. So, what is special about this product?Personal Notebook LM Screenshot.You can create a notebook that will hold information from various sources. For example, let‘s create a notebook on Systems Design Engineering, which is where I have been trying to improve my personal skills lately. I added some YouTube videos (using the + button) I have found before as sources. If you use the Search button (magnifying glass icon), you can let Google Gemini look up sources for you based on a specific topic you would like. If you are a student or someone who loves mind maps, the latest version of Notebook LM 2.0 allows you to create one by clicking the button in the middle tab. I like the idea of a mind map when I am learning something so I can visualise how each topic connects to one another. If you don’t have time to read or watch all of your sources, you can click the button that has (voice fluctuation). That will create an AI-based podcast from your sources. This is really cool if you would like to save it and listen to it on the go. From the right-side tab, you can save your own notes for later, create a study plan, time plan (how everything evolved over time), and more. This has been a perfect tool for collecting a variety of information and learning step by step. I hope you actually use it. Let me know what you think. I hope you liked today’s episode and learned something new. Let me know your thoughts, and if you want to learn more about this, please subscribe.I have a free guide with pictures on how to use NotebookLM. You can download it below. Have a great week until the next one.Resources:1. Mindful Maps in Notebook LM: https://www.perplexity.ai/page/notebooklm-introduces-interact-AG6Ijc1IT0mzAyXGj8aBiw2. Notebook LM: https://notebooklm.google.com/3. Free Guide:https://api.leadconnectorhq.com/widget/form/rMDfVOjTt54AZuUkmKB8 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com

Meta released Llama 4.What is different compared to their previous models?From Meta’s website:Meta's Llama 4 models are cutting-edge multimodal AI systems designed to handle both text and image inputs seamlessly. They employ a mixture-of-experts (MoE) architecture, which activates only a subset of parameters for each input, enhancing efficiency and scalability.Basically, what this means is that only a smaller set of the model’s parameters are activated at a single request. The activated parameters represent one or more experts. These experts to be activated are chosen from an internal router. This is something really interesting, especially to that extent. You can request access to the models from https://www.llama.com/llama-downloads/. Leave a link in the description. Also, something that we have not seen before, Llama 4 Behemoth pushes the parameters to 2 trillion. This is an outstanding number for the industry.Source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/Let’s discuss the key differences between the models.Key Features of Llama 4 Models:* Models:* Llama 4 Scout: A 17-billion active parameter model with 16 experts and a massive 10-million-token context window. It excels at tasks requiring long context analysis, such as multi-document summarization and codebase reasoning.* Llama 4 Maverick: Also a 17-billion active parameter model but with 128 experts and a 1-million-token context window. This model balances multimodal capabilities (text/image) and creativity, making it ideal for chatbots and enterprise applications.* Training Data: Both models were trained on a mix of publicly available data, licensed sources, and interactions from Meta platforms like Instagram and Facebook.* Supported Languages: Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, Vietnamese.* Release Date: April 5, 2025.Differences Between Scout and Maverick:Source: Screenshot from my table from Meta’s blog postI can’t wait for my access to these models to be approved so I can try them out. Let me know if you would like me to do a video or podcast episode testing the Llama 4 models.Source: Created with Imagen3 and Gemini Flash 2.0 using the prompt: Can you generate a cute image with 4 llamas?Google NewsThis week Google surprised us by releasing for free Gemini 2.5. This is their best model yet and is up to 1 million tokens, with plans to expand to 2 million tokens in the near future. This is an amazing model and if you don’t want to spend the money on OpenAI or Anthropic subscriptions you can consider this option.Google also added ImageGen3 in Google Slides. So now you get to generate AI images for your slides without leaving the page. Super cool feature and really useful. If I don’t have a picture that I can use for my slides, I used to go to other pages to generate them. Please if you do generate images always cite the source.OpenAI plans to go open source?OpenAI surprised everyone this week with its announcement on April Fools’ Day. They are releasing Image Generation for free users. In their article, they mention that this might cause delays across users since they are predicting an overload of requests to their servers. Extraordinary is also their new form for open model feedback. OpenAI plans to release its first open model from the era of GPT2. They are requesting feedback from engineers and developers on that. The form, as well as all other information, will be linked below. In addition, OpenAI released OpenAI Academy. So this is an educational platform with resources on how to use OpenAI tools. I will leave a link below.Apple IntelligenceFor me it is really exciting since I am based in Europe. Apple Intelligence rolls out officially in the EU and for multiple languages like French, German, etc. Vision Pro with Apple Intelligence has the ability to proofread, rewrite, generate Images and Emojis with Genmoji. That could be cool to play with. I quote from Apple’s blog post:Apple Intelligence marks an extraordinary step forward for privacy in AI and is designed to protect users’ privacy at every step. It starts with on-device processing, and for requests that require access to larger models, Private Cloud Compute extends the privacy and security of iPhone into the cloud to unlock even more intelligence.Privacy and Security are the backbone of Apple Products, and I am happy to see that the company keeps its promises, even if the features take longer to release.Claude Rolls Out AI for Education.The new feature from Claude is supposed to act as a tool to help students solve problems and develop critical thinking. Instead of giving direct access to homework, it is planned to be used by students to help them study. This makes it a really good initiative, in my opinion, to support the younger generation with AI and assist them in learning and possibly retaining knowledge. I am excited to see the results.Disclaimer:In order to not claim I found all of these myself. I am also following creators in the space, and I have found most of the sources from the Future Tools page here: https://www.futuretools.io/newsThis has been an extended episode. If you liked it, please like and share it with your friends on any platform you want. Thank you, and I hope you are having an incredible week.If you found any of the things I shared helpful today, please subscribe. References:* Llama 4 Access: https://www.llama.com/llama-downloads/* Llama 4 Blog: https://ai.meta.com/blog/llama-4-multimodal-intelligence/* Hugging Face Llama 4: https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct?inference_provider=novita* Google Gemini 2.5: https://arstechnica.com/gadgets/2025/03/googles-new-experimental-gemini-2-5-model-rolls-out-to-free-users/* Google Slides Update: https://blog.google/products/workspace/workspace-slides-visuals-ai-updates/* OpenAI releases Image Generation GPT: https://techcrunch.com/2025/04/01/sam-altman-says-that-openais-capacity-issues-will-cause-product-delays/* OpenAI Academy: https://academy.openai.com/home* OpenAI Open Model Form: https://openai.com/open-model-feedback/* Apple Intelligence: https://www.apple.com/newsroom/2025/03/apple-intelligence-features-expand-to-new-languages-and-regions-today/* Apple VisionOs Update: https://www.apple.com/newsroom/2025/03/apple-intelligence-comes-to-apple-vision-pro-today-with-visionos-2-4/* Anthropic Claude Education: https://www.anthropic.com/news/introducing-claude-for-education* Future Tools: https://www.futuretools.io/news This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit kivroglouparaskevi.substack.com