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  • In this episode, we dive deep into the world of AI with Lisa Weaver-Lambert, author of The AI Value Playbook and a veteran in leveraging technology for impactful solutions.

    Lisa shares her incredible journey from financial services to global boardrooms, offering insights into AI adoption, decision-making augmentation, and overcoming challenges in traditional and cloud-native businesses.

    She breaks down how leaders can bridge the gap between technical teams and business goals, drawing on interviews with over 30 leaders from diverse industries.

    Whether you're curious about AI literacy, hybrid workforces, or practical use cases, this episode delivers actionable takeaways for anyone looking to navigate the AI revolution.

    If you want to know more about Lisa, you can connect with her on LinkedIn.

    And take a look at her book, if you want to go indepth on the topic: The AI Value Playbook: How to make AI work in the real world

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    Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • In this episode, sales genius Joe Ingram takes the mic to share his journey from electrical engineering to driving over $1.7 billion in sales.

    Discover how Joe leverages AI tools like ChatGPT to transform the sales process, automate tasks, and create custom solutions for entrepreneurs.

    He dives into simplifying complex ideas, turning chatbots into virtual business partners, and using innovative hacks to save time and boost productivity.

    Whether you're new to AI or a seasoned pro, Joe's insights on harnessing technology for real-world results are sure to inspire and empower your next steps.

    Want to get some of Joe's insights? You can find his central website with all of the good stuff: TheGeniusLinks.com - and of course you also find him on LinkedIn.

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    Tune in to get my thoughts, and don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

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  • Do you need just one digital coworker—or an entire AI-powered team? In this episode of A Beginner’s Guide to AI, Professor Gephardt takes you deep into the exciting world of AI agents, exploring why relying on a single assistant might soon be outdated.

    Discover how specialized digital agents can effortlessly collaborate, handling everything from repetitive daily tasks to complex marketing strategies, allowing you to focus on creativity and strategic thinking.

    Plus, explore how Ferrari turbocharged fan engagement using a dynamic AI-powered platform, and find out how you can practically apply these insights to your own workflow.

    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

    Want to get in contact? Write me an email: [email protected]

    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. And, by the way, it's read by an AI voice.

    Music credit: "Modern Situations" by Unicorn Heads

  • What happens when a physics professor dives headfirst into the world of AI—and also writes space operas on the side?

    In this episode, we talk with Chris Kulp, professor at Lycoming College and award-winning science fiction author, about the fascinating collision of science, storytelling, and machine learning.

    From teaching physics with Gemini to drafting novels with a little help from generative AI, Chris shares how these tools reshape both the classroom and the creative process.

    We explore everything from AI solving real physics problems (scarily well), to why students still need to understand the fundamentals.

    Chris also breaks down how he uses AI to “fail faster” when modeling complex systems, and how fiction can help us ask deeper ethical questions about our AI future.

    Bonus: we get a sneak peek into his new book Lost Origins—featuring androids, moral dilemmas, and a galaxy where Earth is just a myth.

    You can find Chris Kulp online at chriskulp.com, and follow him on social media:

    Instagram

    Facebook

    LinkedIn

    His latest book, Lost Origins, is available wherever books are sold—including, obviously, Amazon! - and as a professionally produced audiobook 😎

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    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • Step into this episode as Dev Bharti—consultant, author of Demystifying AI Agents and lifelong tech tinkerer—unpacks what an “AI agent” really means.

    Dev turns an unexpected metaphor (🐜 ants!) into a crystal-clear framework for building agentic networks that cooperate, adapt and learn.

    You hear why memory and reinforcement matter, where the human-in-the-loop fits, and how a triage bot already transforms insurance claims without pushing staff to the sidelines.

    Dev also shares the exact workflow that turns scattered LinkedIn posts into a 210-page playbook, the biggest adoption blockers he sees inside enterprises, and his frank answer to the burning question: “Will AI take my job?”

    You can connect to Dev on LinkedIn - and don't forget to get his book, "Demystifying AI Agents" on Amazon!!!

    Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • In today's exciting episode of A Beginner's Guide to AI, Professor Gephardt dives into the big debate: Should you become a T-shaped professional or a versatile generalist to thrive in the AI-driven workplace?

    Using vivid analogies involving delicious cakes, this episode explores why deep expertise (chocolate cake, anyone?) and broad adaptability (hello, marble cake!) both have critical roles in your professional future.

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    Don't forget to take a look at ⁠⁠Sectionai.com⁠⁠ for your AI learning journey!

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    Learn from the real-world example of Shoosmiths, the British law firm brilliantly blending specialist and generalist approaches to AI, fostering a transparent, innovative culture.

    Plus, walk away with practical tips on mapping your skills and strategically adding new AI tools to your skillset.

    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

    Want to get in contact? Write me an email: [email protected]

    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. And, by the way, it's read by an AI voice.

    Music credit: "Modern Situations" by Unicorn Heads

  • Austin Vance joins the show and we plunge straight into how AI reshapes real work—no hype, just hard-won lessons.

    Austin breaks down why GPT-3 flipped a switch for every software team, how “pair-programming with a model” doubles developer velocity, and why smart leaders start with data - not robots - when rolling out AI.

    We hear vivid stories: a restaurant chain searching for its first practical use-case, an automaker wrangling thousands of coders, and a soon-to-launch AI therapist app that knows when to hand the mic back to a human.

    From killing low-value data entry to turning an entire slide-deck archive into a conversational expert, Austin shows how businesses turn knowledge chaos into profit.

    We even get his trick for measuring a broken camper-window with nothing but a smartphone photo and ChatGPT.

    Plus: pragmatic takes on governance, ROI in under 90 days, and whether the Matrix scenario is worth losing sleep over.

    🔗 You can catch Austin on LinkedIn or X.com:

    Or go to to Focused.io to see how they can help you 🚀

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    Don't forget to take a look at ⁠Sectionai.com⁠ for your AI learning journey!

    ---

    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!!

    Want to get in contact? Write me an email: [email protected]

    Music credit: “Modern Situations” by Unicorn Heads

  • In this episode, I speak with Don Gossen, a seasoned AI entrepreneur who works on new ways to handle payments among AI agents.

    We explore why AI agents need their own dynamic payment rails, how blockchain technology fits into this vision, and the potential for trillions of AI “consumers” to transform global commerce.

    Don describes how his team is tackling the emerging world of AI commerce by creating seamless transactions between human and non-human agents.

    It’s a thrilling look at where data, analytics, and machine learning converge—and how this shift might ultimately free human creativity while AI handles the busy work.

    Tune in to never miss an episode: don't forget to ⁠subscribe to our Newsletter⁠!

    Want to get in contact? Write me an email: ⁠[email protected]

    Music credit: "Modern Situations" by Unicorn Heads.

  • In this episode, Leslie Grandy - film-industry veteran turned AI thought-leader - drops straight into the studio and shows how to turn generative AI into a fearless creative partner.

    She walks you through her “Creative Velocity” framework and explains why contradictory thinking is the antidote to prompt-engineering paralysis.

    We unpack her days on Terminator 2, debate whether Skynet panic is overblown, and discover how AI helped her write (and sanity-check) her new book.

    Expect real-world examples for entrepreneurs, product managers, and even sales teams—plus a candid chat on keeping bias in check and boosting confidence when the blank page stares back.

    🚀 You can connect to Leslie Grandy on LinkedIn!

    📖 And you should definitely get her book "Creative Velocity"

    💌 Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: “Modern Situations” by Unicorn Heads

  • Hollywood loves a good AI apocalypse—but how likely is a real-life Skynet scenario? In today's episode of A Beginner's Guide to AI, Professor GePhardT takes you on an entertaining yet eye-opening journey into Artificial General Intelligence (AGI).

    From understanding why films like The Terminator shape our deepest AI anxieties, to real-world safety measures inspired by these sci-fi nightmares, this episode breaks down exactly how humanity can steer advanced AI towards a beneficial future—rather than a robotic uprising.

    Expect to hear why a smart kitchen assistant could unintentionally cause chaos, how fictional tales are influencing actual AI research, and what top thinkers like Elon Musk and Stephen Hawking have warned us about. It's a conversation packed with fascinating examples, practical tips, and an honest look at how we're preparing for AGI today.

    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

    Want to get in contact? Write me an email: [email protected]

    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. And, by the way, it's read by an AI voice.

    Music credit: "Modern Situations" by Unicorn Heads

  • In this episode, I sit down with Ethan Monkhouse, co-founder of Naviro, to explore how AI is revolutionizing the creator economy.

    We dive into the fascinating world of super fans—those loyal advocates who drive 70% of revenue for artists and creators.

    Ethan shares how Naviro uses advanced AI to identify and nurture these super fans, moving beyond vanity metrics like likes and impressions to uncover the emotional and financial drivers of true fandom.

    From analyzing public data to building custom AI models tailored to each artist, this conversation unveils the tools and strategies creators need to thrive in a competitive digital landscape.

    Ethan also reveals how AI simplifies workflows, enhances audience engagement, and helps creators shift from being overwhelmed by data to making informed, actionable decisions.

    Whether you're a content creator, marketer, or just AI-curious, this episode is packed with insights you won't want to miss.

    Want to get in contact with Ethan Monkhouse or Naviro?

    You can find Ethan on ⁠LinkedIn ⁠or on ⁠Instagram⁠.

    If you want to see what Naviro has to offer, ⁠go to their website ⁠and get started!

    Tune in to get my thoughts: don't forget to ⁠subscribe to our Newsletter⁠!

    Or want to get in contact? Write me an email: [email protected]

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    Music credit:"Modern Situations" by Unicorn Heads.

  • Lisa Weaver-Lambert returns to unpack the trillion-dollar surge in digital infrastructure—and turns the idea of “boring” data centers on its head.

    She breaks down why global private infrastructure now tops $1.3 trillion, how Europe rockets from 6 % to 30 % of data-center investment, and why 15-to-20-year hyperscale leases create gold-rush conditions for real-estate giants like Blackstone.

    We dive into power-hungry GPUs, three-year hardware refresh cycles, and the paradox of using AI to design the very facilities that run AI.

    From modular builds in Norway that heat greenhouses to Sam Altman’s audacious $500 billion “Stargate” project, this episode is your fast-moving guide to where money, megawatts, and machine learning collide.

    Want to know more? Connect to Lisa on LinkedIn 🚀

    And get her book THE AI VALUE PLAYBOOK with 20% off on print and digital with using my code: 20DIETMAR

    You can order the book here at Packt (or whereever you buy your books - but then without 20% rebate 😉)

    ---Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://argoberlin.com/newsletter/Music credit: "Modern Situations" by Unicorn Heads

  • Two years, 500 000 streams and counting! In this jubilee special, host Dietmar pulls back the curtain on Beginner’s Guide to AI—from its humble origin as a one-man, AI-generated history show to today’s chart-climbing interview podcast. 🎙️

    You’ll hear:

    The accidental launch: why an ancient-Greek travel prep turned into an AI-powered audio experiment.

    Tech trials & triumphs: hunting for natural-sounding voices, chaining prompts to beat token limits, and the DIY workflow that still underpins every episode.

    Pivot to people: how PR pitches and curious CEOs pushed the show from scripted explainer to human-driven interviews—and sent it rocketing into the global Top 50 tech charts.

    Audience & analytics: 25,000 subscribers, 1,200 plays per episode, and an Ango-American listener map.

    What’s next? Daily drops? More expert chats? Dietmar wants your vote.

    And, while you are on it, don't forget to ⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 😉

    Want to get in contact? Write me an email: ⁠[email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • What happens when a curious finance guy joins PayPal and stumbles into the world of machine learning? You get Mike Todasco — someone who’s been riding the AI wave before it made headlines. In this episode, Mike shares why he thinks most businesses are already behind on AI, how teachers can use it to deeply personalize learning, and what skills will still matter even when the bots take over the boring stuff. From robot lawnmowers to AI-powered bedtime quizzes for kids, this conversation is full of practical insight and future-facing optimism.

    We also talk about the myth of the Terminator scenario, why software engineers are feeling the heat first, and how AI can help you learn German while driving your kid to school.

    Connect to Mike on LinkedIn and don't forget to get his newsletter on LinkedIn!

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    Also, while you are on it, don't forget to subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 😉

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • AI strategist and upcoming author Bruce Randall jumps behind the mic to explore how artificial intelligence is colliding with everyday life—no coding degree required.

    Bruce unpacks his journey from software sales to earning an MIT “no-code data-science” certificate, and reveals why he’s writing The AI Human Paradox to give non-tech folks a crystal-clear roadmap through the jargon jungle of LLMs, brain-computer interfaces, and autonomous systems.

    We dig into the art (and science) of great prompting, the power—and peril—of Neuralink-style implants, and why “trust but verify” is Bruce’s golden rule for hallucination-free insights.

    You’ll hear practical wins for small businesses—from AI-powered chat-bots that rescue bad restaurant reviews to HR tools that actually boost morale—and learn how global pharma giant Sanofi slashes drug-development time with full-stack AI.

    We examine the ethics of AI-generated college papers, the very real risk of runaway super-intelligence, and Bruce’s optimistic blueprint for keeping humanity in the driver’s seat as machines get smarter.

    Whether you’re an entrepreneur, a curious creator, or just wondering what “BCI” even means, this episode arms you with the mindset and resources to thrive in an AI-accelerated world.

    You can connect to Bruce on LinkedIn. If you want to know more about him, go to his podcasting portfolio page!

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    Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • Ever wondered why robots still haven’t mastered grandma’s unbeatable cake recipe? Or why McDonald's AI-driven drive-thru ended up causing more chaos than convenience?

    In today's episode of A Beginner’s Guide to AI, Professor GePhardT dives into a fascinating reality: despite all the hype, 47% of tasks remain stubbornly, uniquely, and beautifully human.

    Explore why AI struggles with creativity, empathy, and ethical judgment—and why that's brilliant news for marketers and businesses.

    Filled with relatable stories, humorous misfires, and practical insights, this episode celebrates the human skills that machines simply can't replicate (at least, not yet!).

    Tune in to get my thoughts, don't forget to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscribe to our Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!

    Want to get in contact? Write me an email: [email protected]

    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. And, by the way, it's read by an AI voice.

    Music credit: "Modern Situations" by Unicorn Heads

  • Will the machines take over, will terminators exterminate us - or will we be in the Matrix, not knowing that the AI took over?

    What sounds funny at first, is not so funny at all: AI is quickly developing to levels nobody dreamed about 3 years ago.

    But is the threat from AI real? I asked 3 AI experts on their opinion and they say... but for that you'll have to listen to the podcast!

    My guests today are:- Kid Cox from Enate

    - Khalid Baker from SecondSelf AI

    - Bidhan Roy from Bagel

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    Tune in to get my thoughts, and don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠!

    Music credit: "Modern Situations" by Unicorn Heads

  • What if your knowledge could stick around—forever? In this episode, Dan Thomson from Sensay returns to dive deep into the idea of digital replicas and the Wisdom Engine powering them.

    We explore how AI can extend your presence, answer your emails, prep your job interviews, and even preserve institutional knowledge after someone retires.

    Dan shares real-life examples—from HR bots to aging population companions—and explains why personalization is the real superpower of replicas.

    It's not just a productivity tool; it's a way to preserve human memory and decision-making across time zones, generations, and even lifespans.

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    You can follow Dan on LinkedIn and if you want to know more about Wisdom Engines, go to the Sensay website 🚀

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    Tune in to get my thoughts, don't forget to subscribe to our Newsletter!

    Want to get in contact? Write me an email: [email protected]

    Music credit: "Modern Situations" by Unicorn Heads

  • Step into the fascinating world of artificial intelligence with Ron Green, the co-founder and Chief Technology Officer of KungFu AI.

    In this episode, Ron shares how AI reignites his passion for computer science, the story behind the name "KungFu AI," and why the secret to mastering AI lies in skill achieved through hard work.

    Discover how KungFu AI helps businesses navigate their AI journeys—from developing cutting-edge breast cancer risk prediction models to safeguarding endangered bird habitats and beyond.

    Ron also dives into the myths and misconceptions surrounding AI, offering practical insights on strategy, ethics, and bias in AI implementation.

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    You can find Ron ⁠on LinkedIn⁠ or at ⁠KungFu AI⁠, where they have great resoources for further information!

    Ron's Podcast, Hidden Layers, brings you deep info on AI topics, you find it here on Kungfu AI's website!

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    Tune in to get my thoughts, and don't forget to ⁠subscribe to our Newsletter⁠!

    Want to get in contact? Write me ⁠an email⁠!

    ___

    Music credit: "Modern Situations" by Unicorn Heads.

  • Probably my most inspiring podcast episode up until now - if you didn't listen the first time, now is a must!

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    What is AGI really — and why are today's AI models not getting us there? In this thought-provoking episode, Peter Voss, CEO and Chief Scientist of Aigo.ai, joins me to explore the real meaning behind Artificial General Intelligence.

    Peter, who helped coin the term "AGI" back in 2001, explains why current AI systems like large language models are fundamentally on the wrong track.

    We dive deep into the differences between narrow AI and cognitive AI, discuss the future potential of AGI to revolutionize industries, and tackle big questions like: Could AGI actually save humanity?

    Peter also shares how his team is developing an AGI system that learns like a child — starting at the level of a three-year-old and advancing naturally, not through brute-force data.

    We talk about why today's AI funding priorities may be holding true progress back, and why the biggest threat might not be AGI itself, but misunderstanding its nature.

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    To go deeper into the topic, you'll find Aigo here: ⁠Aigo.ai⁠

    And you can find Peter on ⁠⁠LinkedIn⁠⁠!

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    Tune in to get my thoughts, don't forget to ⁠⁠⁠subscribe to our Newsletter⁠⁠⁠!_

    Want to get in contact? Write me an email: ⁠⁠⁠[email protected]⁠⁠⁠

    Music credit: "Modern Situations" by Unicorn Heads.