We made it to episode 50! In celebration of our 50th anniversary, we're breaking down 50 things you NEED to know about AI!
For more details, head to our episode page.
Join the conversation and ask Jordan any questions you have here!
Time Stamps:
[00:00:16] Daily AI news
[00:04:00] #50 - AI will take your job
[00:07:37] #40 - AI has been used since the 1980s
[00:14:00] #30 - AI boom started in 2020 with GPT-3
[00:19:55] #20 - Need to use ChatGPT instead of Google
[00:24:39] #10 - ChatGPT CEO worried about disinformation and economic shock
[00:31:19] #1 - If you don't learn AI you will be replaced
Topics Covered in This Episode:
1. Controversy over Gizmodo using generative AI instead of human writers
- Explore the implications and debate surrounding AI-generated content in journalism
2. New York law requiring companies to disclose AI usage in hiring
- Examine the significance of this law and its potential impact on employment practices
3. EU and Japan partnership on AI and chips
- Discuss the global collaboration in AI development and the importance of GPU chips for AI tools
4. AI's potential to take jobs and the prediction from Goldman Sachs
- Evaluate the growing concern over job displacement due to AI advancements
5. Inaccurate AI-related information on social media
- Expose the prevalence of misinformation and define what truly qualifies as AI
6. AI's history since the 1950s
- Explore the origins of AI, including the Turing test and the establishment of the first AI lab at MIT
7. Introduction of the first AI chatbot, Eliza
- Delve into the development and purpose of Eliza as an early AI simulation
8. AI's impact in business since the 1980s
- Discuss the rise of specialized AI systems in various industries, driven by expert systems
9. Deep learning and its contribution to AI adoption
- Explain the significance of deep learning in driving the widespread adoption and attention around AI
Keywords:
Gizmodo, generative AI, human writers, controversy, staff members, New York, law, companies, disclosure, hiring, US, AI exports, EU, Japan, partnership, chips, China, GPU chips, large language models, AI tools, US economy, jobs, Goldman Sachs, social media, incorrect updates, computer, human brain, 1950s, Turing test, AI lab, MIT, AI chatbot, Eliza, psychotherapist, business, expert systems, deep learning, datasets, adoption, attention, Everyday AI, ChatGPT
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