Sohow can you figure out how to best use your intern1? Just like any new worker, you are going to have to learn its strengths and weaknesses; you are going to have to learn to train and work with it; and you are going to have to get a sense of where it is useful and where it is just annoying. The stakes for this are quite high. People using AI have 30-80% higher productivity in some writing and coding tasks, and often feel happier having offloaded their most annoying work. That is a big incentive to learn to work with your intern.
And this is really your intern. What it is worth using it for will be different for everyone, and the value will vary by task. Different people with different preferences may find very different uses. If you are a strong writer with a particular voice, you may never want to use AI for writing. If you are continually paralyzed when faced with a blank page, AI may be more useful. No one can provide clear guidance or a magical prompt; you are going to have to figure it out yourself. Your goal is to learn enough about your AI intern to fill out this chart:
Just Me Tasks are those where the AI is not useful and only gets in the way, at least for now. They might also be tasks that you believe strongly should remain human, with no AI help. As AI improves, the latter category likely becomes more important than the former.
Centaur Tasks. Gary Kasparov popularized the term centaur for tasks that combine human and AI work, like the half-human/half-horse of myth. Centaur tasks are those that you will learn to integrate AI deeply into your workflow and work. For example, when I am writing something that is more technical than a blog post (these tend to be mostly Just Me Tasks for now, hence the grammar errors), I will throw paragraphs and even sentences to the AI for help, have Bing look up sources and explain them in different ways, and generally move back and forth between multiple AIs and my own work. It stops me from ever losing momentum, and often gives me ideas I never could have come up with before. Centaur tasks are where AI becomes most valuable. Figure out a few of these, if you can.
Instead, you should tell it who it is and what it can do. This might change from task to task, but giving the AI context and constraints makes a big difference. So you are going to tell it, at the start of any conversation, who it is: You are an expert at generating quizzes for 8th graders, you are a marketing writer who writes engaging copy for social media campaigns, you are a strategy consultant. This will not magically make the AI an expert in these these things, but it will tell it the role it should be playing and the context and audience to engage with. It will be you that will need to judge how good it is at these tasks.
Treat errors from the AI like you would a person. When it makes a mistake, point that out and ask for it to do better. See if it improves, or if you needed to provide additional information in your prompt. Unlike a person, the AI never gets discouraged, so you can ask for volume instead of aiming for a single perfect answer: give me fifty marketing slogans, rewrite this paragraph in ten distinct styles, solve this data analysis problem in as many ways as possible. Sometimes this quantity has a quality all its own.
I love these articles that encourage people to think about AI as a person. Not because it is or isn't a person, but because we naturally know how to interact with people, and that mindset makes it easier to approach working with AI.
1. This intern is a super-intern! They majored in every subject, from English to Engineering. So they can teach you a thing or two as well! For example, my intern taught me how to code and is currently trying to teach me some marketing.
2. Instead of an intern, also try to consider this alien as your teammate. While you might dismiss ideas from your intern, you might be more open to ideas from your respected teammate. For example: ask your teammate to give you ten ideas for something you're working on together - you might find some gems there.
3. Even for "just me" tasks, maybe some of them could benefit from a second look, some non-judgmental feedback, or polish. For example - when writing this comment, I asked ChatGPT for feedback, and it said I could provide specific examples :)
I love the humanizing analogies because they make it natural to see how you might benefit from having more "people" on your team. And the intern analogy hints at maintaining appropriate oversight of the AI's work. I've found "teammate" to be another valuable analogy. This article has me thinking if there are more I haven't considered yet! Any thoughts?
Oh, and, If you read all the way here, you might find this interesting: My "AI teammate" and I write about our experience working together on a project. So far, we've worked on planning, coding, making videos, and writing. Check it out for some more specific ideas and examples:
Intern is a great term here- I find over and over again that people stop using ChatGPT the moment they get a wrong or overly simplistic answer. Their brain tells them "ChatGPT is great at XYZ but can't handle this more complex topic" and they move on. Which you would never do if brainstorming with a human. It has the answers in there, it just requires some patience to tease it out. So maybe it's an intern with potential: Gonna get some stuff wrong, but boy oh boy, when it gets it right...
In previous posts, I have made the argument that, for a variety of reasons, it is better to think of AI as a person (even though it isn\u2019t) than a piece of software. In fact, perhaps one of the most interesting aspects of our current AI moment is that several billion people just got free interns. They are weird, somewhat alien interns that work infinitely fast and sometimes lie to make you happy, but interns nonetheless.
Delegated Tasks are those that you assign the AI, and which you expect to review and offer oversight (remember, the AI makes stuff up all the time), but ultimately do not want to spend a lot of time on. This is usually stuff you really don\u2019t want to do and is low importance, but time consuming. You are going to hope that AI keeps getting better at this in the future.
Automated Tasks are ones you leave completely to the AI, and don\u2019t even check on. Perhaps there is a category of email that you just let AI deal with, for example. This is likely to be a very small category\u2026 for now. Today, AI makes too many mistakes to use in an automated fashion. (Though, for example, I often ask it to write Python programs to solve problems, and I don't know Python so I just use whatever code it tells me). You will want to keep an eye on the growing capabilities of AI in the future.
You are going to need to decide on your intern\u2019s personality and capabilities by picking the AI models you want to use. I have written in the past about the various foundational models, and have kept that guide fairly updated. As of this moment, though, you should probably plan on using one AI connected to the Internet and, likely, a second, fast AI.
There are no good benchmarks or comparisons, but, for most people, your AI connected to the Internet is going to be Microsoft\u2019s Bing in Creative Mode (the purple screen lets you know it is in creative mode) which is GPT-4, but free and connected to the internet. It is also weird. It has a personality and some other constraints that might make it harder to work with (again, like some people you might know). So you will probably want an offline, less opinionated AI to work with on longer projects or exchanges. There are two good options. You can use GPT-4 (which you can get through ChatGPT Plus, for a fee), which is the most powerful model available and has a fairly calm, neutral personality. Or else you can use Anthropic\u2019s Claude, which is not quite as powerful, but has a longer memory and a remarkably pleasant personality (yes, this sounds weird, but trust me, you will know it when you see it). Google\u2019s Bard is very hit-or-miss, even after its updates, so I would skip it for now, though hopefully that will change. If you have specialized needs, like particular programming or language needs, you will also have to learn more about which models work best for that case. If you create images in any way, you will probably want Midjourney. When Code Interpreter is widely released as part of ChatGPT Plus, I would strongly suggest getting it if you work with data in any way.
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