Today’s video is a more philosophical one. It questions the “role” of human creatives in the future if AI can do a lot more of the work.
This video asks an important question and I’m excited to hear any thoughts and comments you all may have below.
Today’s video is a more philosophical one. It questions the “role” of human creatives in the future if AI can do a lot more of the work.
This video asks an important question and I’m excited to hear any thoughts and comments you all may have below.
Today’s video is more GPT-3 focused! I talk about using AI tools to get feedback on your work more often and how this trend will only accelerate in the future as AI models improve.
Today’s video is on this idea of “realtime creativity” and what that means for the future of creativity:
I’m really biased but honestly, this video is really important if you’ve tuned into any of the videos for the series so far.
I love the concept of “realtime creativity”. Effort does not equaly creativity. Further, not having the technical skills, or time for the effort doesn’t equal a lack of creativity. Anyhow, love this idea!
I have a lot to say about this one.
Some context: I’m a writer who just spent ten years writing a novel. Producing creative work is constant tension between wanting the product to be finished and the time it actually takes to finish it. This is what you mean by “painstaking.” I have experienced that pain over and over and over again.
Having said that, I am convinced that there are no shortcuts in art. Works of art take the time that they take. I have been destroyed time and time again by rushing something that wasn’t ready. And in the process, I find that it is in the very quality of being painstaking where art’s greatest rewards lie. I would not trade the ten years it took me to write that novel for anything. If someone were to offer me a way to cut that time in half, I never, never, never would take that offer. It’s like removing the cumbersome and laborious sex part from the process of making babies.
What is far more exciting to me about incorporating AI into the creative process is applying the same level of painstaking attention with a new set of tools. I don’t see GPT-3 as a shortcut at all.
All the blind alleys, frustrations, deleted chapters, and tangents are just as much a part of the novel as the parts that readers will read. And these parts, that only the writer experiences, are never a waste of time.
The ego is seduced by shortcuts that promise external validation. We want people to like us, to post nice things about us on social media, to write glowing reviews, but these are never the true reward. The true reward is in the actual act, in the moment of creation, when it’s just you and the blank canvas or page. A positive review gives me a dopamine boost for a couple minutes. Knowing a character and witnessing their transformation over a decade is several orders of magnitude more rewarding.
I would say my video argues that creativity will indeed be realtime but our attention will then gives focus on experimentation and exploration which may take just as long. Imagine initializing the image with AI but spending 2-4 more hours experimenting and editing on top of what was already generated … getting it “just right”.
How long before AI models are creating videos about what the future might hold for AI?
Hopefully not long 
Glad you’re posting these. I’m finding them really useful in helping think through the implications of integrating GPT-3 into the writing process.
No two ways about it, writer’s block sucks. I think the key to overcoming it is understanding why it happens in the first place, and somewhat counterintuitively respecting it. Creative writing involves establishing a partnership in one’s mind between the conscious, critical mind and the idea-generating subconscious. The subconscious bristles when it starts feeling pushed around, denigrated, or held to an externally mandated deadline. In these instances it does the only thing it actually has the power to do–it clams up. The subconscious finds the ego, with its expectations and demands and desire for acclaim, unseemly.
I’ve counseled many writers through writer’s block. The first step is to resist beating yourself up. This only makes it worse. Then, I’ve told writers I’ve worked with to just sit with a blank page for 20 minutes and if a sentence comes, great, if not, that’s okay too. The key is to get up after those 20 minutes and not consider it a waste of time or a failure. Then repeat that process every day, and sooner or later the writing will appear.
I personally wouldn’t look to an algorithmic solution to solve a psychological challenge. And I don’t expect those challenges to ever go away. I just assume at this point they’re part of the deal, and I respect what writer’s block is trying to tell me. What’s more intriguing to me is doing things with GPT-3 that have never been done before.
Thank you for sharing your insights. You’re right - I did not address the psychological aspects to this stuff at all which is the larger issue going on here.
However, I guess I don’t even mean writer’s block necessarily in the video, writer’s block is this deep hopeless/burned out stage of the process. I could have done a better job explaining it but what I’m saying is - I found that GPT-3 is really handy whenever you’re stuck, you can just pull it out and keep hitting generate, and it might come up with something to help you out in that moment as a writer. So, I guess I’m saying that it has the potential to pull you out of tight corners, keep your flow going, and perhaps even avoid the state of writer’s block altogether.
Hello everyone,
yesterday and today’s videos all deal with Multimodal AI and making money, how it could impact the success of an artist:
Today’s video talks about how Multimodal models like DALL-E could affect society in the near future.
Today’s video is on, “Silicon Hollywood” - this idea I have about movies made entirely with multimodal AI:
it’s a really important video I hope you love!
Today’s video is on the ethics of multimodal AI creativity. What sorts of ethical challenges keep you up at night?
Today is the last video! Can you believe it’s been a month?
It’s on predicting the characteristics of the next generation of AI creatives. Let me know what you think!
… And that’s a wrap!
Thank you all for your love, support, and tuning in. I learned a lot from all of you - thank you for your thoughtful comments and discussion. Our work is yet to be done, we have so much more left to do if we want to create even more powerful creative tools in the future.
the last video in the series can be found here: