This idea came from one of the most influential essays Iโve ever read: Superhistory, Not Superintelligence, by Venkatesh Rao @vgr
This is a homage to his work. I want to increase the surface area of his brilliant conceptualization. Iโll share the original piece at the end.
This is a homage to his work. I want to increase the surface area of his brilliant conceptualization. Iโll share the original piece at the end.
"Aging" is more relevantly viewed through the lens of data exposure, not bodily decline.
Example: if I can impart 5 years worth of experience to you, you just got 5 data years older.
AI can age centuries in days. It can do this due to its vastly superior data surface area.
Example: if I can impart 5 years worth of experience to you, you just got 5 data years older.
AI can age centuries in days. It can do this due to its vastly superior data surface area.
I can only consume info one. slow. singular. human reading at a time. My surface area of info exposure is constrained by my meatness.
In a way it's beautiful, the journey is what makes life worth living. Not autistic data maximizing.
But AI doesn't have a nostalgic approach.
In a way it's beautiful, the journey is what makes life worth living. Not autistic data maximizing.
But AI doesn't have a nostalgic approach.
I can't pool my brain and share it with you. Pre-internet, human's had just 1 human's life worth of info.
AI can pool it. GPUs take all human documentation and run it through The Machine.
AI's data surface area has no limit or bias.
AI can pool it. GPUs take all human documentation and run it through The Machine.
AI's data surface area has no limit or bias.
Illustration: how old was @MagnusCarlsen when he became world chess champion? The answer isn't 22.
When Magnus won, it's reported he played "older" in a way. The same was said about AlphaGo when it defeated Lee Sedol at Go.
That's because Magnus was raised by ancient trainers.
When Magnus won, it's reported he played "older" in a way. The same was said about AlphaGo when it defeated Lee Sedol at Go.
That's because Magnus was raised by ancient trainers.
A modern player trained with AI has a true "player age" that is some function of their biological age and data age.
So by virtue of being trained by an ancient teacher, Magnus Carlsen looked like a kid, but in chess years was possibly decades or centuries older than opponents.
So by virtue of being trained by an ancient teacher, Magnus Carlsen looked like a kid, but in chess years was possibly decades or centuries older than opponents.
He mostly stopped educating around 25. Learned things about life, family, and work over the next 10ish years. And then after that, it was kinda the same loop.
I understand this disregards the love and beauty found within that loop. But still...
youtube.com
I understand this disregards the love and beauty found within that loop. But still...
youtube.com
This was a transformative thought for me. It's why I'm sharing this.
It's altered how I view someone's capabilities and wisdom. Including myself and those around me.
I now tend to understand people in data years when judging the things we all judge about each other.
It's altered how I view someone's capabilities and wisdom. Including myself and those around me.
I now tend to understand people in data years when judging the things we all judge about each other.
If you've been using Google the last 20 years, you've accessed several human lifetimes of info compared to someone who had to go to the library and laboriously search through stacks of paper to figure out one thing.
If you're on tpot, you're probably at least a data centenarian.
If you're on tpot, you're probably at least a data centenarian.
This may speak to why some boomers feel child like. They were raised in human time and are weakly digitally augmented. It's palpable sometimes.
Younger generations will have increasingly larger information exposure growing up. We're more centaur-like. Older data ages.
Younger generations will have increasingly larger information exposure growing up. We're more centaur-like. Older data ages.
What's also exciting (scary?) is AI can create its own history.
Once AlphaGo was trained how to play Go, it mostly played itself to learn. Taking the concept of superhistory to the next level. Artificial Time.
Human-made data will soon be the minority of data AIs learn with.
Once AlphaGo was trained how to play Go, it mostly played itself to learn. Taking the concept of superhistory to the next level. Artificial Time.
Human-made data will soon be the minority of data AIs learn with.
Superhistory, Not Superintelligence is longer and touches on other adjacent topics, but I feel they're all in service of the core takeaways shared in this thread.
Thank you again to @vgr for sharing his creative and insightful work.
studio.ribbonfarm.com
Thank you again to @vgr for sharing his creative and insightful work.
studio.ribbonfarm.com
Systems thinking like this is what I tend to gravitate to.
After you sub to Venkatesh's blog, kindly sub to mine if that's your thing (it could be your thing!): blog.rabbitx.io
After you sub to Venkatesh's blog, kindly sub to mine if that's your thing (it could be your thing!): blog.rabbitx.io
On current limitations of LLMs and how AI superiority is the incorrect framing when understanding what humans value.
You want to watch Magnus play chess, not two AIs. Why? The AIs are technically superior.
It's because what you value is the human...
You want to watch Magnus play chess, not two AIs. Why? The AIs are technically superior.
It's because what you value is the human...
Unrelated: things are going really well. More to come.
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