Data Science at Home

著者: Francesco Gadaleta
  • サマリー

  • Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3
    Copyright 2024 datascienceathome.com All rights reserved.
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あらすじ・解説

Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3
Copyright 2024 datascienceathome.com All rights reserved.
エピソード
  • AI vs. The Planet: The Energy Crisis Behind the Chatbot Boom (Ep. 271)
    2024/11/13

    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

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    22 分
  • Love, Loss, and Algorithms: The Dangerous Realism of AI (Ep. 270)
    2024/11/06

    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

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    24 分
  • VC Advice Exposed: When Investors Don’t Know What They Want (Ep. 269)
    2024/10/28

    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

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    18 分

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