Hi Alberto, congrats on your impressive success with your substack. If it fits within your vision for this blog, I'd enjoy reading more about how you are building your audience. For myself, I'm all the way up to one free subscriber. :-)
I'd also hope to read your additional thoughts on this:
"If you think 2022 has been a crazy year for AI, just imagine how 2023 will be."
As you know by now, I'm very interested in the role AI will play in further accelerating the knowledge explosion. What emerges from an AI accelerated knowledge explosion may prove to have more impact than AI itself?
If each year gets a little crazier than the last, what are the implications of such a trend?
Thanks Phil! I may write about that in the future, in a different section to not mix topics.
About the "accelerated knowledge explosion," I don't think AI is really going in that direction right now. These tools are nice engineering products and can be useful for certain applications, but they're not advancing science or our understanding of pretty much anything (this is a topic for a whole article).
That sounds right Alberto, thanks. I suppose I was looking forward as I often do. I see AI as a next step in a progression from computers => internet => AI. If AI isn't being used to accelerate the knowledge explosion now, that's got to be coming.
I'm probably still not clear where the dividing line between traditional software and AI is. Maybe there isn't such a line? Dunno...
Exactly, there isn't such a line. The criteria to classify something as "traditional software" and "AI" isn't the same, therefore there's considerable overlapping between the two concepts. The criteria to classify something as "AI" is *very* blurry because, above all else, it's a marketing term. "Traditional software" is exclusively a technical concept.
Great summary! I found some articles that I missed and loved them.
I found this substack after getting utterly obsessed about AI after stable diffusion.
Sadly, the mainstream media, or even tech focused substacks, produce too little content on AI. The ones that do focus on AI, are often really just twitter news aggregators, with no analysis or insight. Finally I found this substack, which is properly focused on AI, and clearly has significant effort put into every post, so this is my first paid sub!
I think this sub has plenty of room to grow. Generative AI moves so blisteringly fast and is so widely impactful that it can sustain a specialized publication just focusing exclusively on this topic. This sub could really be the prestige publication for generative AI.
"The ones that do focus on AI, are often really just twitter news aggregators." Yup, I've noticed that, too!
"so this is my first paid sub" Appreciate it very much, thanks :)
I plan to focus a lot on generative AI--it's going to grow much more in the coming years.
But I won't abandon my other topics. I'll make room for everything!
I think having a holistic view of AI (and science/tech, and their impact on society, culture, philosophy, politics, business...) is critical to be able to assess the significance of AI, including gen AI or any other branch that may become notorious in the future.
Hi Alberto, congrats on your impressive success with your substack. If it fits within your vision for this blog, I'd enjoy reading more about how you are building your audience. For myself, I'm all the way up to one free subscriber. :-)
I'd also hope to read your additional thoughts on this:
"If you think 2022 has been a crazy year for AI, just imagine how 2023 will be."
As you know by now, I'm very interested in the role AI will play in further accelerating the knowledge explosion. What emerges from an AI accelerated knowledge explosion may prove to have more impact than AI itself?
If each year gets a little crazier than the last, what are the implications of such a trend?
Thanks Phil! I may write about that in the future, in a different section to not mix topics.
About the "accelerated knowledge explosion," I don't think AI is really going in that direction right now. These tools are nice engineering products and can be useful for certain applications, but they're not advancing science or our understanding of pretty much anything (this is a topic for a whole article).
That sounds right Alberto, thanks. I suppose I was looking forward as I often do. I see AI as a next step in a progression from computers => internet => AI. If AI isn't being used to accelerate the knowledge explosion now, that's got to be coming.
I'm probably still not clear where the dividing line between traditional software and AI is. Maybe there isn't such a line? Dunno...
Exactly, there isn't such a line. The criteria to classify something as "traditional software" and "AI" isn't the same, therefore there's considerable overlapping between the two concepts. The criteria to classify something as "AI" is *very* blurry because, above all else, it's a marketing term. "Traditional software" is exclusively a technical concept.
Great summary! I found some articles that I missed and loved them.
I found this substack after getting utterly obsessed about AI after stable diffusion.
Sadly, the mainstream media, or even tech focused substacks, produce too little content on AI. The ones that do focus on AI, are often really just twitter news aggregators, with no analysis or insight. Finally I found this substack, which is properly focused on AI, and clearly has significant effort put into every post, so this is my first paid sub!
I think this sub has plenty of room to grow. Generative AI moves so blisteringly fast and is so widely impactful that it can sustain a specialized publication just focusing exclusively on this topic. This sub could really be the prestige publication for generative AI.
"The ones that do focus on AI, are often really just twitter news aggregators." Yup, I've noticed that, too!
"so this is my first paid sub" Appreciate it very much, thanks :)
I plan to focus a lot on generative AI--it's going to grow much more in the coming years.
But I won't abandon my other topics. I'll make room for everything!
I think having a holistic view of AI (and science/tech, and their impact on society, culture, philosophy, politics, business...) is critical to be able to assess the significance of AI, including gen AI or any other branch that may become notorious in the future.