Low-Code Magic: Can It Transform Analytics? (Ep. 260)

Data Science at Home

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הוסף לפני two שנים

תוכן מסופק על ידי Francesco Gadaleta. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Francesco Gadaleta או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Lost Cultures: Living Legacies

1
Bermuda: The Crossroads of the Atlantic 51:57

לפני יומיים51:57

הפעל מאוחר יותר

רשימות

לייק

אהבתי

51:57

On the Season 2 debut of Lost Cultures: Living Legacies , we travel to Bermuda, an Atlantic island whose history spans centuries and continents. Once uninhabited, Bermuda became a vital stop in transatlantic trade, a maritime stronghold, and a cultural crossroads shaped by African, European, Caribbean, and Native American influences. Guests Dr. Kristy Warren and Dr. Edward Harris trace its transformation from an uninhabited island to a strategic outpost shaped by shipwrecks, colonization, the transatlantic slave trade, and the rise and fall of empires. Plus, former Director of Tourism Gary Phillips shares the story of the Gombey tradition, a vibrant performance art rooted in resistance, migration, and cultural fusion. Together, they reveal how Bermuda’s layered past continues to shape its people, culture, and identity today. Learn more about your ad choices. Visit podcastchoices.com/adchoices…

לפני שנה 33:45

MP3•בית הפרקים

Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms.
Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs.
David shares insights on overcoming common challenges, enhancing data governance, and success stories from organizations thriving with Panoply.
Sponsors

Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months

References

Connect and analyze ALL of your data https://panoply.io/
https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps
https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence
Blog: The Transformative Power of an All-in-One Data Platform
Whitepaper: Eradicating Platform Inefficiencies

285 פרקים

#Tech #News #Tech News #Francesco Gadaleta

Data Science at Home

Low-Code Magic: Can It Transform Analytics? (Ep. 260)

Data Science at Home

published לפני שנה

שתפו

MP3•בית הפרקים

Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months

References

Connect and analyze ALL of your data https://panoply.io/
https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps
https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence
Blog: The Transformative Power of an All-in-One Data Platform
Whitepaper: Eradicating Platform Inefficiencies

285 פרקים

#Tech #News #Tech News #Francesco Gadaleta

Усі епізоди

Data Science at Home

1
DSH/Warcoded Kill Chains and Algorithmic Warfare – Autonomy in Targeting and Engagement (Ep. 282) 26:29

לפני 9 ימים26:29

26:29

In this gripping follow-up, we dive into how AI is transforming kinetic operations—from identifying a threat to executing a strike. 🔍 Highlights from this episode: How AI compresses the OODA loop (Observe, Orient, Decide, Act) The spectrum of autonomy: human-on-the-loop vs. human-out-of-the-loop Real-world systems like loitering munitions (Switchblade, Harpy) and Selective Ground Response AI (SGR-AI) The ethical and legal dimensions of delegating lethal decisions to machines As the lines blur between algorithm and operator, we explore who—or what—is pulling the trigger. Sponsors Warcoded is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com Warcoded is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai #Warcoded #DataScienceAtHome #AI #AutonomousWeapons #MilTech #DefenseTech #KillChain #OODAloop #LAWs #EdgeAI #Podcast…

Data Science at Home

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DSH/Warcoded: Eyes and Ears of the Machine – AI Reconnaissance and Surveillance (Ep. 281) 19:20

לפני 16 ימים19:20

19:20

Welcome to DSH/Warcoded We explore how AI is transforming ISR (Intelligence, Surveillance, Reconnaissance)—from satellite imagery to drone feeds. In this episode: 🔍 Computer vision for target ID 📡 Predictive surveillance & pattern-of-life modeling 🧠 LLMs for SIGINT & OSINT intelligence briefings 🌍 Real-world examples: Ukraine, Gaza & more Listen now and see how machines are learning to see, predict, and inform at the edge of modern conflict. Sponsors Warcoded is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at amethix.com Warcoded is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai #AI #defensetech #ISR #LLM #Warcoded #DataScienceAtHome #OSINT #SIGINT #dronewarfare…

Data Science at Home

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AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280) 55:46

לפני 6 weeks55:46

55:46

🎙️ In this episode of Data Science at Home, we sit down with Kenny Vaneetvelde, the mastermind behind Atomic Agents, a groundbreaking framework redefining AI development. 🔍 Discover how atomicity simplifies complex AI systems, why modularity matters more than ever, and how Atomic Agents is eliminating hidden assumptions and redundant complexity in AI workflows. 💡 From real-world applications to the tech stack behind the framework, Kenny takes us on a deep dive into this lightweight, powerful tool for creating consistent and brand-aligned AI. 🔥 Whether you’re a seasoned developer or just AI-curious, this conversation is packed with insights you don’t want to miss. 📌 Timestamps: 0:00 - Intro 2:30 - Kenny’s journey in AI 5:00 - What are Atomic Agents? 10:45 - Why atomicity matters in AI 18:20 - The tech behind Atomic Agents: Instructor, Pydantic & more 25:00 - Real-world use cases and future vision 40:45 - Advice for AI developers and businesses 📲 Check out Atomic Agents on GitHub: https://github.com/BrainBlend-AI/atomic-agents https://brainblendai.com/ 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyvaneetvelde/ 💬 Got questions? Drop them in the comments! Don’t forget to like, subscribe, and share this episode with your fellow AI enthusiasts. #AI #AtomicAgents #DataScience #Podcast…

Data Science at Home

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Run massive models on crappy machines (Ep. 279) 47:10

לפני 7 weeks47:10

47:10

AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on "crappy machines"—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough. With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere. By democratizing AI, we can empower individuals and small teams to experiment, create, and solve problems without needing deep pockets or enterprise-grade resources. AI for everyone, on everything. Let’s make it happen. ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

Data Science at Home

1
WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278) 51:47

לפני 8 weeks51:47

51:47

Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs? Enter WeightWatcher—the AI detective tool that peeks inside neural networks without needing their data. In this episode, we chat with its creator, Dr. Charles Martin, to uncover what makes LLMs tick, the hidden patterns inside models like GPT-4 and DeepSeek, and whether AI is headed for a breakthrough—or a bottleneck. If you’re into cutting-edge AI, you won’t want to miss this one! ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

Data Science at Home

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Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 277) 17:33

לפני 8 weeks17:33

17:33

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing here are my thoughts about AI replacing programmers... ✨ Connect with us! 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/ Instagram: https://www.instagram.com/datascienceathome/ Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!…

Data Science at Home

1
Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276) 48:55

לפני 22 weeks48:55

48:55

In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods. Tune in for a masterclass in leveraging data for impact and innovation! Links https://blueorange.digital/ https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/ https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/…

Data Science at Home

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Autonomous Weapons and AI Warfare (Ep. 275) 17:43

לפני 23 weeks17:43

17:43

Here’s the updated text with links to the websites included: AI is revolutionizing the military with autonomous drones, surveillance tech, and decision-making systems. But could these innovations spark the next global conflict? In this episode of Data Science at Home, we expose the cutting-edge tech reshaping defense—and the chilling ethical questions that follow. Don’t miss this deep dive into the AI arms race! 🎧 LISTEN / SUBSCRIBE TO THE PODCAST Apple Podcasts Podbean Podcasts Player FM Chapters 00:00 - Intro 01:54 - Autonomous Vehicles 03:11 - Surveillance And Reconnaissance 04:15 - Predictive Analysis 05:57 - Decision Support System 08:24 - Real World Examples 10:42 - Ethical And Strategic Considerations 12:25 - International Regulation 13:21 - Conclusion 14:50 - Outro ✨ Connect with us! 🎥Youtube: https://www.youtube.com/@DataScienceatHome 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: Francesco Gad 📷 Instagram: https://www.instagram.com/datascienceathome/ 📘 Facebook: https://www.facebook.com/datascienceAH 💼 LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast 💬 Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com . 📫 SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! #DataScienceAtHome #ArtificialIntelligence #AI #MilitaryTechnology #AutonomousDrones #SurveillanceTech #AIArmsRace #DataScience #DefenseInnovation #EthicsInAI #GlobalConflict #PredictiveAnalysis #AIInWarfare #TechnologyAndEthics #AIRevolution #MachineLearning…

Data Science at Home

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8 Proven Strategies to Scale Your AI Systems Like OpenAI! 🚀 (Ep. 274) 17:23

לפני 23 weeks17:23

17:23

In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 8 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techniques will transform your infrastructure. Hit play to learn how the pros do it and apply it to your own projects! LISTEN / SUBSCRIBE TO THE PODCAST YouTube: https://www.youtube.com/@DataScienceatHome Apple Podcasts: https://podcasts.apple.com/us/podcast/data-science-at-home/id1069871378 Podbean Podcasts: https://datascienceathome.podbean.com/ Player Fm: https://player.fm/series/data-science-at-home-2600992 Chapters 00:00 Intro 00:34 Scalability Strategies 01:08 Stateless Services 02:47 Horizontal Scaling 04:51 Load Balancing 06:14 Auto Scaling 07:41 Caching 09:27 Database Replication 11:07 Database Sharding 12:54 Async Processing 14:50 Infographics RESOURCES & LINKS Data Science at home: https://datascienceathome.com Amethix Technologies: https://amethix.com CONNECT WITH US! Instagram: https://www.instagram.com/datascienceathome/ Twitter: @datascienceathome Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com SEND US MAIL! We love hearing from you! Send us mail at: hello@datascienceathome.com…

Data Science at Home

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Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273) 49:33

לפני 26 weeks49:33

49:33

In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida. Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social media to news. How reliable are current detection tools like DetectGPT? What are the ethical and technical challenges ahead as AI continues to advance? And is the balance between innovation and regulation tipping in the right direction? Tune in for insights on the future of AI text detection and the broader implications for media, academia, and policy. Chapters 00:00 - Intro 00:23 - Guests: Souradip Chakraborty and Amrit Singh Bedi 01:25 - Distinguish Text Generation By AI 04:33 - Research on Safety and Alignment of Generative Model 06:01 - Tools to Detect Generated AI Text 11:28 - Water Marking 18:27 - Challenges in Detecting Large Documents Generated by AI 23:34 - Number of Tokens 26:22 - Adversarial Attack 29:01 - True Positive and False Positive of Detectors 31:01 - Limit of Technologies 41:01 - Future of AI Detection Techniques 46:04 - Closing Thought Subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome…

Data Science at Home

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AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272) 18:56

לפני 26 weeks18:56

18:56

Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor. In this episode, I’ll break down the bold (and often bizarre) claims in Altman’s grand speech for the Intelligence Age. I’ll give you the real scoop on what’s realistic, what’s nonsense, and why some tech billionaires just can’t resist overselling. Think AI’s all-knowing, all-powerful future is just around the corner? Let’s see if we can spot the fairy dust. Strap in, grab some popcorn, and get ready to see past the hype! Chapters 00:00 - Intro 00:18 - CEO of Baidu Statement on AI Bubble 03:47 - News On Sam Altman Open AI 06:43 - Online Manifesto "The Intelleigent Age" 13:14 - Deep Learning 16:26 - AI gets Better With Scale 17:45 - Conclusion On Manifesto Still have popcorns? Get some laughs at https://ia.samaltman.com/ #AIRealTalk #NoHypeZone #InvestorBaitAlert…

Data Science at Home

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AI vs. The Planet: The Energy Crisis Behind the Chatbot Boom (Ep. 271) 22:28

לפני 27 weeks22:28

22:28

In this episode of Data Science at Home, we dive into the hidden costs of AI’s rapid growth — specifically, its massive energy consumption. With tools like ChatGPT reaching 200 million weekly active users, the environmental impact of AI is becoming impossible to ignore. Each query, every training session, and every breakthrough come with a price in kilowatt-hours, raising questions about AI’s sustainability. Join us, as we uncovers the staggering figures behind AI's energy demands and explores practical solutions for the future. From efficiency-focused algorithms and specialized hardware to decentralized learning, this episode examines how we can balance AI’s advancements with our planet's limits. Discover what steps we can take to harness the power of AI responsibly! Check our new YouTube channel at https://www.youtube.com/@DataScienceatHome Chapters 00:00 - Intro 01:25 - Findings on Summary Statics 05:15 - Energy Required To Querry On GPT 07:20 - Energy Efficiency In BlockChain 10:41 - Efficicy Focused Algorithm 14:02 - Hardware Optimization 17:31 - Decentralized Learning 18:38 - Edge Computing with Local Inference 19:46 - Distributed Architectures 21:46 - Outro #AIandEnergy #AIEnergyConsumption #SustainableAI #AIandEnvironment #DataScience #EfficientAI #DecentralizedLearning #GreenTech #EnergyEfficiency #MachineLearning #FutureOfAI #EcoFriendlyAI #FrancescoFrag #DataScienceAtHome #ResponsibleAI #EnvironmentalImpact…

Data Science at Home

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Love, Loss, and Algorithms: The Dangerous Realism of AI (Ep. 270) 24:25

לפני 28 weeks24:25

24:25

Subscribe to our new channel https://www.youtube.com/@DataScienceatHome In this episode of Data Science at Home, we confront a tragic story highlighting the ethical and emotional complexities of AI technology. A U.S. teenager recently took his own life after developing a deep emotional attachment to an AI chatbot emulating a character from Game of Thrones. This devastating event has sparked urgent discussions on the mental health risks, ethical responsibilities, and potential regulations surrounding AI chatbots, especially as they become increasingly lifelike. 🎙️ Topics Covered: AI & Emotional Attachment: How hyper-realistic AI chatbots can foster intense emotional bonds with users, especially vulnerable groups like adolescents. Mental Health Risks: The potential for AI to unintentionally contribute to mental health issues, and the challenges of diagnosing such impacts. Ethical & Legal Accountability: How companies like Character AI are being held accountable and the ethical questions raised by emotionally persuasive AI. 🚨 Analogies Explored: From VR to CGI and deepfakes, we discuss how hyper-realism in AI parallels other immersive technologies and why its emotional impact can be particularly disorienting and even harmful. 🛠️ Possible Mitigations: We cover potential solutions like age verification, content monitoring, transparency in AI design, and ethical audits that could mitigate some of the risks involved with hyper-realistic AI interactions. 👀 Key Takeaways: As AI becomes more realistic, it brings both immense potential and serious responsibility. Join us as we dive into the ethical landscape of AI—analyzing how we can ensure this technology enriches human lives without crossing lines that could harm us emotionally and psychologically. Stay curious, stay critical, and make sure to subscribe for more no-nonsense tech talk! Chapters 00:00 - Intro 02:21 - Emotions In Artificial Intelligence 04:00 - Unregulated Influence and Misleading Interaction 06:32 - Overwhelming Realism In AI 10:54 - Virtual Reality 13:25 - Hyper-Realistic CGI Movies 15:38 - Deep Fake Technology 18:11 - Regulations To Mitigate AI Risks 22:50 - Conclusion #AI#ArtificialIntelligence#MentalHealth#AIEthics#podcast#AIRegulation#EmotionalAI#HyperRealisticAI#TechTalk#AIChatbots#Deepfakes#VirtualReality#TechEthics#DataScience#AIDiscussion #StayCuriousStayCritical…

Data Science at Home

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VC Advice Exposed: When Investors Don’t Know What They Want (Ep. 269) 17:57

לפני 30 weeks17:57

17:57

Ever feel like VC advice is all over the place? That’s because it is. In this episode, I expose the madness behind the money and how to navigate their confusing advice! Watch the video at https://youtu.be/IBrPFyRMG1Q Subscribe to our new Youtube channel https://www.youtube.com/@DataScienceatHome 00:00 - Introduction 00:16 - The Wild World of VC Advice 02:01 - Grow Fast vs. Grow Slow 05:00 - Listen to Customers or Innovate Ahead 09:51 - Raise Big or Stay Lean? 11:32 - Sell Your Vision in Minutes? 14:20 - The Real VC Secret: Focus on Your Team and Vision 17:03 - Outro…

Data Science at Home

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AI Says It Can Compress Better Than FLAC?! Hold My Entropy 🍿 (Ep. 268) 21:05

לפני 31 weeks21:05

21:05

Can AI really out-compress PNG and FLAC? 🤔 Or is it just another overhyped tech myth? In this episode of Data Science at Home, Frag dives deep into the wild claims that Large Language Models (LLMs) like Chinchilla 70B are beating traditional lossless compression algorithms. 🧠💥 But before you toss out your FLAC collection, let's break down Shannon's Source Coding Theorem and why entropy sets the ultimate limit on lossless compression. We explore: ⚙️ How LLMs leverage probabilistic patterns for compression 📉 Why compression efficiency doesn’t equal general intelligence 🚀 The practical (and ridiculous) challenges of using AI for compression 💡 Can AI actually BREAK Shannon’s limit—or is it just an illusion? If you love AI, algorithms, or just enjoy some good old myth-busting, this one’s for you. Don't forget to hit subscribe for more no-nonsense takes on AI, and join the conversation on Discord! Let’s decode the truth together. Join the discussion on the new Discord channel of the podcast https://discord.gg/4UNKGf3 Don't forget to subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome References Have you met Shannon? https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/…

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