– English Lyrics

Lyrics & Translation

[English]

To get you started with AI, I have four guiding  principles that I like to start people with. The  

first principle is always invite AI to the  table. Use it for everything you legally and  

ethically can. And that's because we you don't  know what AI can do. And likely the creators  

of the AI system you're using don't know what  it can do for you and your industry, your job,  

your life. You have to use it to figure it  out. Ask it questions if about idea that  

you have. Help it write a memo for you with  the permission of people in the room. Have it  

record what's happening and give you feedback  on your performance. Summarize notes for you.  

Write code. Analyze data. You won't know what  it's good or bad at until you use it. And you  

might find some really surprising insights of  what it can do well. And you might find some  

disappointments. That's part of the process.  So you have to use it to learn how it works.

My second principle is to be the human in  the loop. And this is an idea from control  

systems that you should always have a human  involved in final decision-m I think that's  

important. We have to decide where humans fit in  decision-m when we start letting AI do things.  

But it's also a deeply personal principle because  AI actually does a lot of tasks quite well. And  

there's a good chance that some of the tasks you  do for your job, the AI might already do better  

than you. Part of what you want to think about  is what tasks do I actually want to do? A lot of  

times what you want to do is actually focus on  what makes you human, what human task you like  

the best and think about how do I give the stuff I  don't want to do to the AI to help me with? How do  

I get support from AI rather than thinking about  it as a potential replacement or as a competitor?  

And I think there's a deep set of questions we  need to think about about what do we actually  

want to do with our lives? What do we actually  want to focus on? Where is our talent? And using  

that talent, I think, is a very powerful way  of thinking about how an AI empowers us all.

My third principle is to treat AI like a person  and tell it what kind of person it is. Talk to it  

like a an employee, like an like an intern, and  you'll get a large part of the way there. And  

on top of that, treat tell it what kind of person  it is. So AI works better with context. Give it a  

context by telling it you are an expert marketer.  You are a lesson plan designer. And that gives the  

AI context to understand what kind of questions  you're asking and how. The danger of treating the  

AI like a person is you're committing the cardinal  sin of AI researchers, which is to pretend that a  

computer is a human. And there's a lot of reasons  you don't want to pretend a computer is a human.  

It's not a human. It doesn't think like a human.  You might start to become more persuaded by it.  

You might become blind to its biases. You  might think it's more capable than it is.

AI kind of works a little bit like  a psychic. It's it's really good at  

figuring out what you want to hear from  it and then telling you what you want to  

hear. And so it's very easy to lose track  of that if you start treating like a human  

being. Use it like a human, but also  always keep in the back of your mind,  

I'm talking to a machine. There's no mind  behind this. There's no emotion or personality.

The fourth and final principle is assume this  is the worst AI you're ever going to use.  

We are in the middle of technological progress,  not at the end. The progression of AI has been  

extraordinarily rapid and it's hard to measure  directly. There's a lot of test scores and  

attempts to measure it, but I tend to think of it  kind of subjectively. When you think about GPT3,  

which was a earlier AI and it came out in uh 2021,  it wrote at about the level of a sixth grader,  

which was really amazing. I was like, "Wow, I  can't believe it could write this well." By the  

time GPT 3.5 came out, which was the version of  that came with chat GPT in the end of 2022, that  

wrote about as well as a sophomore in college, and  then GPT4, which came out in 2023, was as about  

as good a writer as a freshman PhD. That's a very  fast progression. And we know that GPT5 and other  

technologies in the timeline. You may already have  access to those by the time you watch this video.  

And this is a pretty fast progression. We don't  know how far it's going to go. We don't know how  

good these systems are going to get. We're not  in control of how fast these systems improve.

We are in control of how we decide to use  them and how we decide to apply them. As  

managers and leaders, you get to make these  choices about how to deploy these systems to  

increase human flourishing rather than necessarily  replacing people or watching them more closely.  

As individuals, we get to decide how to be the  human who uses these systems well rather than  

having the systems tell us what to do. And  we get to make a lot of decisions this way.

To watch the full class, become a  member at bigthink.com/membership.

Key Vocabulary

Vocabulary	Meanings
principle /ˈprɪnsəpəl/ B2	noun - A fundamental truth or rule that serves as the foundation for a system of belief or behavior.
ethically /ˈeθɪkli/ C1	adverb - In a way that relates to moral principles or avoids moral wrongfulness.
permission /pərˈmɪʃən/ B1	noun - Official approval or consent to do something.
surprising /sərˈpraɪzɪŋ/ A2	adjective - Causing surprise or wonder; unexpected.
insight /ˈɪnsaɪt/ C1	noun - The capacity to gain an accurate and deep intuitive understanding of a person or thing.
disappointment /ˌdɪsəˈpɔɪntmənt/ B2	noun - The feeling of sadness or displeasure caused by the nonfulfillment of one's hopes or expectations.
potential /pəˈtenʃəl/ B2	adjective - Having or showing the capacity to become or develop into something in the future. noun - Latent qualities or abilities that may be developed and lead to future success or usefulness.
competitor /kəmˈpetɪtər/ B1	noun - A person or organization competing against others, especially in business or sports.
empower /ɪmˈpaʊər/ C1	verb - Give someone the authority or power to do something; make someone stronger and more confident.
cardinal /ˈkɑːrdɪnəl/ C2	adjective - Of the greatest importance; fundamental.
persuade /pərˈsweɪd/ B2	verb - Cause someone to do or believe something through reasoning or argument.
bias /ˈbaɪəs/ B2	noun - Prejudice in favor of or against one thing, person, or group compared with another, usually in a way considered unfair.
psychic /ˈsaɪkɪk/ C1	noun - A person considered or claiming to have psychic powers, such as telepathy or clairvoyance.
extraordinarily /ɪkˈstrɔːrdənərəli/ B2	adverb - In a highly unusual or exceptional manner; remarkably.
subjectively /səbˈdʒektɪvli/ C1	adverb - In a way that is based on personal opinions or feelings rather than facts.
sophomore /ˈsɑːfəmɔːr/ C1	noun - A student in the second year of a high school or college.
freshman /ˈfreʃmən/ B2	noun - A first-year student at a high school, college, or university.
deploy /dɪˈplɔɪ/ C1	verb - To bring into effective action, utilize, or spread out for a deliberate purpose.
flourishing /ˈflɜːrɪʃɪŋ/ C1	noun - The state of developing, growing, or prospering successfully.