Ep 306: Our 2024 AI Predictions Midterm Report – how did we do?
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In December 2023, we laid out 24 spicy hot takes on the future of Generative AI. We're giving ourselves a midterm report as we hit the halfway point of 2024 to see if we crushed our predictions, or if the nonstop pace of GenAI crushed us. Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan questions on AI)**Related Episodes: Ep 124: 5 Ways Generative AI Shows Up in 2024) **Ep 171: GenAI in 2024 – What’s coming and what it means for you)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Review of 24 predictions for 20242. AI Robotics3. AI Misinformation and Legislation4. Large Language Models5. Future of Big Tech Companies6. Future of GenAI7. Competition against NVIDIA8. Predictions about OpenAI9. Job Market Changes due to AITimestamps:**02:50 A look at our 2024 AI predictions.05:52 Remote workers struggle to access AI systems.11:11 Excited attendee sees NVIDIA's unveiling of robotics.20:57 Training large language models requires quality data, not bots and trash content from Twitter.26:02 GPT-4: Future desktop assistant with agent capabilities.28:39 Rag becoming a buzzword in AI industry.34:27 Copyright infringement lawsuits expected for large companies.37:47 Expect number 9, big changes in AI.43:09 NVIDIA's stock split made them top company.51:33 Many AI tools can create products quickly.57:29 AI investment leads to successful layoffs in 2024.59:04 Midway through 2024, what about AI?01:06:32 20 out of 24 predictions are true.**Keywords:**Jordan Wilson, generative AI, AI predictions, second computer AI, individualized learning, AI robotics, AI misinformation, AI legislation, AI watermarks, Grok, Apple AI, home assistants, AI agents, legacy media companies, large language models, Gen AI training, Microsoft, Amazon, NVIDIA, compute resources, Inflexion AI acquisition, AI future of work, agent capabilities, LangChain, retrieval augmentive generation (RAG), mini-RAG, traditional SEO decline, copyright battles in AI, OpenAI, video AI.