ChaitanyaSai
Joined 19 years ago
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409
Member since
Jan 27
Recent submissions
Comment · 1 day ago
When we get good at something, it results in flow state, but it also means that was mechanizable in a way and now AI is taking that away. So we are always grappling with the new and effortful. And the context switching, jeez. We need entirely new visualizations of work flow that recognizes we are now doing more, and in parallel. Wonder if this is how air traffic control people feel.
Comment · 4 days ago
Think openai should start including visual and interactive explainers in these where the viewer can toggle level to get a more accessible/technical explanation as needed. Would also be a great demo, and perhaps increasingly essential for us to know that explainability is not lagging behind provability.
Comment · 6 days ago
This might be the end of personal challenges but we have so many really hard challenges that could do well with a lot of people coming together. How do we solve for poverty and the lack of clean air, water, and food in urban India (could be anywhere, but this I see daily). What could we do to get people to collaborate at scale on problems that are not currently profitable for an org? Cheap air conditioning. Senior citizen loneliness. So many problems to take up. We probably can't even think in that direction because these seem so huge now. But that's hopefully what intelligence on tap is now bringing into the tractable domain
Comment · 9 days ago
Thanks! How is AI-IQ computed here? I know this sounds like a plug, but have a feeling you'll really like our book! https://www.goodreads.com/en/book/show/60500189-journey-of-t...
Comment · 9 days ago
This is quite incredible. I've been mulling this idea that we are entering a Great Intelligence event much like the Great Oxygenation that lead to the Cambrian explosion. But that was one of brutal competition. We can hope that with intelligence we quickly realize that we can collaborate and not compete (in many, many areas). Your post shows me how!
Comment · 17 days ago
But it is more than a writing style becoming cliched with overuse, it is unreadable. See this from the site.
"One band per run length, your last five presses at the top. Every grain is one time you made that run." This was never good writing. It is weird compaction. It is just hard to picture this. It's as if this does not know that we have shared visual attention at the moment on a particular graph and is instead looking at some bizarre version of it while I am looking at/picturing something else. Maybe that's what it is, it does not get good explanation as a moment by moment transfer of understanding.
Comment · 17 days ago
I find these unreadable. How, if these are trained on writing, and then reinforced to appeal to people, do they end up with this writing style? Is AIs voting on AI writing how we arrived at this unbearable load-bearing moment?
Comment · 19 days ago
A question: How long does it now take for someone reasonably good at undergraduate mathematics and motivated to spend some time, get really good in at least understanding the frontier in some sub-field? For example, something in number theory. Has AI really helped accelerated motivated learners to reach the frontier fast? Has anyone tried this?
Comment · 24 days ago
That comes down to evolving interests too. Maybe the way to get to latin quicker was a bridge that wasn't present. Or you just didn't really appreciate languages until you had to have a particular set of experiences. We change too. So learning something which we don't like because we might like it some day doesn't really work (even if that's how school pretty much operates). Music is a great example. A lot of kids are pushed hard to do well in very structured music classes and they become fluent players but so many just fall out of love with it.
Comment · 25 days ago
We saw this when it was released, and it's not because of any amazing prescience.
https://blog.comini.in/p/why-khanmigo-will-fail
It's just quite obvious when you run a school (we do). It's because AI is focused on making the mechanics easy. But as long as we focus on measurement (how much are they learning) and start from there, the near-term focus is inevitable on the surface mechanics of learning (can they decode or encode when reading, do their tables etc)
Meaning > Motivation > Mechanics > Measurement
The natural order of learning is when we are allowed to discover, explore, find meaning. This motivates us to focus on getting better, mastery, which is where mechanics should come in. And finally, because it is helpful to know where we are generally, we measure some outcomes. But schooling systems have completely inverted this!
More here if anyone's interested: https://blog.comini.in/p/schooling-has-a-meaning-crisis-para...
Comment · 26 days ago
Yes, the whole language method does not provide enough scaffolding. But phonics alone without the context of the joy, utility, meaning of reading or too much driling is essentially so much scaffolding that it blinds you to the big picture. What we know about how the brain learns tells us it is a dance between the whole and the parts, the portrait and the particulars. This is pretty much lost in our reductive approach to learning, which in turn builds on a reductive approach to science, which worked quite well for us until we encountered complex interconnected systems that need systems thinking. Worth watching! https://www.youtube.com/watch?v=JRQY01Hhrww&t=201s
Comment · 26 days ago
That's the sort of well-meaning intention that's backfired because we don't really know how to measure learning unlike height. And yet we've used these proxies to determine so many learning interventions. Take phonics. Sure, that's the right scaffolding pretty much like balance bikes are better than training wheels. But we leach out all meaning by doing narrow drills becaause we are too myopically focused on the "are they reading" goal, which is further broken down into reductive sub-goals "are they blending" "are they decoding" and so on. But learning is multi-dimensional. We learn to find meaning and meaning comes from connected the world to things we see, hear, touch, feel, and finally invent.
Think about how you might want to "measure potential" and ensure "they have everything"
We wrote a book explaining Consciousness - Journey of the Mind: How Thinking Emerged from Chaos https://www.amazon.com/Journey-Mind-Thinking-Emerged-Chaos/dp/1324006579/
I write here https://saigaddam.medium.com/ and here https://blog.comini.in/
sai email comini dot in