As someone who lectures university Stats majors: if AI is an amplifier and you get out what you put in, my worry is that students haven’t yet built the “self” worth amplifying. How do you think we should change our teaching so they develop judgement first, rather than outsourcing it before it forms?
> How do you think we should change our teaching so they develop judgement first
By practicing judgment every day, in every assignment. And, good news! Now that we no longer need to teach students how to write code, we have a lot more time to devote to teaching judgment.
Wonderful insights for someone like me who doesn’t code. But would like to. Thanks for this and especially the intro on how you used Claude to converted a talk to this
Nice article, Hadley, thanks! (re: the format, the pictures are nice but I am perfectly happy with just the text too)
>for the stuff that you really care about, that’s important to you and your professional development, you can go deep on quality. You can use AI to pick apart your ideas, to pick apart your code, and produce high-quality work. Because at the end of the day, AI is an amplifier. And I really urge you, to the best of your abilities, to use it to amplify the best parts of you, the most human parts of you — not the laziest part.
I could not agree more! I have been telling myself (and others!) to "Use AI to not just make work easier, but to make work richer."
> Would you like to see more of my talks in this form in the future?
Yes! All of them please! And it would be great if other Posit folks, like Jenny Bryan, did the same. I find it so much more pleasant and efficient to read a cleaned up talk like this than to watch the video.
Hi Hadley, love this! Even though this is text and pictures, it both sounds and “feels” like a live Hadley talk. Pls do more for the readers out there (like me!)
Also: I’m so heartened to see how you are using this confusing and precarious moment to lean into intellectual excellence, creativity, and humanity. The genie is indeed out of the bottle for good, but we each have a choice in how we respond. Another person writing about this, from an organization and people perspective, is Jess Von Bank, also on Substack. Check out her recent series - I think you’ll like it!
Thanks for the details Hadley. Indeed this format was helpful. I'm now convinced that I need to lean into AI for coding. How shall I get started - can you pls give some guidance? I've been using R for 12 years now.
Hey Hadley, really enjoyed this format! Would love to see more of your talks in this written form. Your work, and approach to data science and programming has greatly impacted my career, and my life. Probably one of the biggest "aha" moments in talks I've seen was your talk on Many Models, where you introduced functions, and purrr, and list columns, at WOMBAT 2016 (10 years ago!). I would love to see that talk distilled into a blog post like this.
So, I really am enjoying being able to read your thoughts on this new era of AI and LLMs. Thank you for sharing these.
One of the things that you’d kind of expect given what you say here is that software and data science should be accelerating in terms of the useful products and end results they yield. Do you get a sense that is actually happening?
As someone who lectures university Stats majors: if AI is an amplifier and you get out what you put in, my worry is that students haven’t yet built the “self” worth amplifying. How do you think we should change our teaching so they develop judgement first, rather than outsourcing it before it forms?
> How do you think we should change our teaching so they develop judgement first
By practicing judgment every day, in every assignment. And, good news! Now that we no longer need to teach students how to write code, we have a lot more time to devote to teaching judgment.
I'd like to report an error, I'm pretty sure the title of this talk is actually "lowkenuinely skills-maxxing fr before you get code-mogged by ai"
People have stopped responding to my genz-baiting posts so genz is now dead to me.
Time to return to millennial roots.
"TFW AI pwns your code game, lol rekt, git gud"
Yes, please! Such a brilliant article - thank you, Hadley.
Wonderful insights for someone like me who doesn’t code. But would like to. Thanks for this and especially the intro on how you used Claude to converted a talk to this
Nice article, Hadley, thanks! (re: the format, the pictures are nice but I am perfectly happy with just the text too)
>for the stuff that you really care about, that’s important to you and your professional development, you can go deep on quality. You can use AI to pick apart your ideas, to pick apart your code, and produce high-quality work. Because at the end of the day, AI is an amplifier. And I really urge you, to the best of your abilities, to use it to amplify the best parts of you, the most human parts of you — not the laziest part.
I could not agree more! I have been telling myself (and others!) to "Use AI to not just make work easier, but to make work richer."
> Would you like to see more of my talks in this form in the future?
Yes! All of them please! And it would be great if other Posit folks, like Jenny Bryan, did the same. I find it so much more pleasant and efficient to read a cleaned up talk like this than to watch the video.
Great summary and insights. Now off to learn more about parquet!
It gave me many valuable insights.
Reflects much of what I'm thinking about now for using AI in my research and coding. Yes, please, can we have some more?
Hi Hadley, love this! Even though this is text and pictures, it both sounds and “feels” like a live Hadley talk. Pls do more for the readers out there (like me!)
Also: I’m so heartened to see how you are using this confusing and precarious moment to lean into intellectual excellence, creativity, and humanity. The genie is indeed out of the bottle for good, but we each have a choice in how we respond. Another person writing about this, from an organization and people perspective, is Jess Von Bank, also on Substack. Check out her recent series - I think you’ll like it!
Thanks for the details Hadley. Indeed this format was helpful. I'm now convinced that I need to lean into AI for coding. How shall I get started - can you pls give some guidance? I've been using R for 12 years now.
Hey Hadley, really enjoyed this format! Would love to see more of your talks in this written form. Your work, and approach to data science and programming has greatly impacted my career, and my life. Probably one of the biggest "aha" moments in talks I've seen was your talk on Many Models, where you introduced functions, and purrr, and list columns, at WOMBAT 2016 (10 years ago!). I would love to see that talk distilled into a blog post like this.
So, I really am enjoying being able to read your thoughts on this new era of AI and LLMs. Thank you for sharing these.
Amazing, insightful read!
This is a great article. Thank you.
One of the things that you’d kind of expect given what you say here is that software and data science should be accelerating in terms of the useful products and end results they yield. Do you get a sense that is actually happening?