Saturday, August 24, 2024

Starting small businesses with AI ... Collapsing AI models ... Stopping AI scaling ... Gen Z vs AI ...AI going to Fakesville ... PODCAST 24Aug24

Last update: Saturday 8/24/24
Welcome to our 24Aug24 podcast summary of the past week's most interesting opinions & speculations on our "Useful AI News" page, as summarized by OpenAI's ChatGPT into a TL;DR ... then recorded by the Descript app doing an AI imitation of the voice of the blog's editor ... We're offering opinions & speculations instead of top news stories because last week was a slow AI news week due to wall-to-wall DNC coverage on most media ... 1) Starting small businesses with AI, (2) Collapsing AI models, (3) Stopping Ai scaling, (4) Gen Z vs AI, and (5) AI going to Fakesville.
 
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TL;DR link  HERE

A. TL;DR of 5 interesting opinion/speculation articles last week . ..  
1. Small Business | 2. AI Models | 3. AI Scaling | 4. Gen Z | 5. Fakeville 

1) "How A.I. Can Help Start Small Businesses", Sydney Ember, NY Times, 8/18/24

This article explores how AI tools are becoming increasingly accessible and beneficial for small businesses, offering advantages like cost savings, efficiency, and personalized customer interactions. It highlights case studies of startups successfully integrating AI and discusses the challenges, including ethical considerations and the potential for job displacement.



2) "Why AI Models Are Collapsing And What It Means For The Future Of Technology", Bernard Marr, Forbes, 8/19/24
Bernard Marr discusses the recent trend of AI model failures, attributing them to overreliance on flawed datasets and the inherent complexity of scaling AI. The article warns of the risks these collapses pose to industries and emphasizes the need for robust testing and ethical frameworks to ensure AI’s future success.


3) "What Could Stop AI Scaling?", Stephanie PalazzoloThe Information8/20/24

This article examines the potential barriers to AI scaling, including infrastructure limitations, regulatory challenges, and the lack of skilled talent. It delves into how these factors could slow down AI’s growth and what companies need to do to overcome these hurdles.


4) "This Week in AI: Gen Z has mixed feelings on AI", Kyle Wiggers, TechCrunch, 8/21/24

Kyle Wiggers analyzes Gen Z’s ambivalence toward AI, noting that while they appreciate its convenience, they are also concerned about privacy, ethical issues, and job displacement. The article explores how these mixed feelings could shape AI’s future adoption and development.


5) "Welcome to Fakesville: Inside an AI Nightmare That Tore Apart a School", David Kushner, The Information, 8/23/24
The article  discusses a troubling incident where AI-generated deepfakes wreaked havoc on a school community. The AI technology was used to create realistic but fake images and videos, leading to false accusations and significant emotional and social damage among students and staff. The story highlights the dangers of unchecked AI capabilities and the urgent need for regulations and ethical considerations in AI development.


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