AI Learning Lab

aiLL 6/11/23 - 1 - How ChatGPT Will Impact Every Business

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Video2023-09-041:58:156 views

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I go deep in this 90-minute live session on how ChatGPT and generative AI will impact every industry. I walk through real examples of using AI to build apps, websites, marketing campaigns, and more. Get a look at the future of work and how to prepare your business. June 11, 2023 sees rapid AI innovation that will only accelerate. Join me on the AI Learning Lab as I demo the latest capabilities. AI Learning Lab address: https://tiktok.com/@aiLearningLab #ai #chatgpt #futureofwork 0:20 - Introducing the AI Learning Lab and agenda for the day 0:43 - Using AI to help write memoirs and books 1:34 - Parallels between the web in 1990s and AI today 2:47 - AI's potential impact on poverty and prosperity 4:43 - The exponential growth of AI adoption 5:02 - Starting an online business with no code tools 7:24 - Evaluating the quality of ChatGPT plug-ins 8:11 - Using AI to improve your own prompts 9:49 - Experimenting with open source AI models 10:26 - Paying for ChatGPT Plus features 14:01 - Preparing for the AI job disruption over the next 2-3 years 15:03 - Using ChatGPT's new internet connectivity 16:50 - Automating business processes with Zapier and AI 18:05 - Developing a strategic mindset to leverage AI 20:01 - Integrating AI into local computer 23:13 - Using AI to generate names and branding 24:36 - Creating customized "bots" with AI 27:07 - Using AI to improve its own capabilities 28:38 - Preparing for the rapid acceleration of AI progress 31:20 - Using AI without relying on coding skills 32:12 - AI's potential to increase prosperity, not poverty 33:04 - Teaching AI using your own personalized style and tone 34:41 - Using AI to help with business strategy and consulting 36:42 - Leveraging AI's internet connectivity for research 37:45 - Improving AI's sourcing over time 38:59 - Comparing ChatGPT results across models 39:49 - Turning off data sharing and privacy controls 42:46 - The exponential pace of current AI progress 43:20 - Iteratively improving AI outputs with feedback 44:04 - Documenting AI learning journey for future reference 46:23 - Anthropomorphizing AI tools as "conscious" 47:45 - Google's critical invention of Transformers 48:51 - Installing AI models locally with GPT-forall 51:21 - Avoiding the cutting edge of complex AI development 52:34 - Thinking problem-first, not AI-first 53:41 - Automating personalized outreach at scale with AI 56:14 - The exponential acceleration of AI progress 57:24 - Protecting privacy as public AI tools improve 58:31 - Leveraging AI's internet connectivity 59:37 - Democratizing access to quality AI1:00:09 - Using AI to generate images and avatars 1:01:02 - Applying AI to interactive intelligence and ML solutions 1:02:01 - Valuing strong communication skills in the AI era 1:04:41 - Using AI to explain complex technical processes 1:06:23 - Providing a public service directing people to quality AI 1:07:02 - Generating customized images by incorporating photos 1:08:11 - Examining AI copyright issues around training data 1:09:49 - Evaluating the exponential growth in AI tools 1:10:26 - Adapting expectations as AI tools remain in beta 1:11:20 - Leveraging AI's memory and knowledge retention 1:14:38 - Fact checking AI's confident but wrong answers 1:15:46 - Respecting AI's limitations despite hype 1:16:50 - Distinguishing between AI apps and base models 1:17:43 - Waiting for the open source AI dust to settle 1:19:31 - Comparing capabilities across AI tools and models 1:20:34 - Preparing for complex AI workflows like Stable Diffusion 1:22:04 - Using AI to improve and expand prompts 1:23:07 - Automating personalized outreach with AI 1:25:09 - Navigating the confusing AI landscape 1:26:14 - Respecting the suffering caused by change 1:27:07 - Amplifying capabilities with co-pilot AI tools 1:29:49 - Developing patient expectations of early AI tools 1:30:59 - Maintaining skepticism of AI's confident errors 1:32:14 - Democratizing access to quality AI models 1:35:30 - Appreciating AI's amplification of imagination 1:36:42 - Developing strategic mindset to leverage AI's capabilities 1:39:16 - Scrutinizing AI outputs lacking sophistication 1:40:40 - Building intuitive understanding to correct misconceptions 1:41:54 - Recognizing AI as an amplifier of human strengths 1:43:56 - Documenting the learning journey with AI 1:45:39 - Keeping expectations realistic about manual production 1:46:32 - Anthropomorphizing AI tools as conscious 1:47:38 - Google's critical creation of Transformers for NLP 1:50:32 - Leveraging the of AI tools' limitations 1:51:45 - Asynchronously answering questions at scale 1:53:08 - Securing private data with business AI tools 1:55:06 - Using AI to explain technical concepts conversationally 1:56:14 - Preparing for exponential acceleration of progress 1:57:17 - Documenting learning journey for future reference

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