
AI Learning Lab
aiLL 6/11/23 - 1 - How ChatGPT Will Impact Every Business
Video2023-09-041:58:156 views
Transcript
Description
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