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But unlike the author of this post (or cited authors) I'm not sore. AI is providing a much better education model for students. So it's us that we have to adapt, not complain that the world is changing.
For example, in Machine Learning our projects are sometimes extremely long and repetitive. Because before AI, it was a valuable skill to be able to recall APIs quickly (what is the method to drop duplicates in a dataframe again?).
But today that's no longer the truth, and for the better. I am happy students don't have to go over the same repetitive low-value processes that I had to go to. Students can now focus on more high level valuable tasks: understand the domain, compare evaluation methods, compare models, balance tradeoffs, present solutions/reports, etc.
It's like in the 50s when students had to memorize tables of logarithms. Nobody misses that.
We are in the process of recreating all our projects to adapt to the new world. We'll see how it goes.
Maybe when it comes to any coding-related learning, I can agree with that point.
However I think the future of education in general is very bleak. When we have plummeting scores for the PISA exam across the world [1], I fear people will get dumber and dumber.
There will always be those who thrive, but the easier it is to obtain information/knowledge, the less I think people have an incentive to do it. And I don't buy that AI will solve all intellectual jobs anyway.
[1] https://www.dw.com/en/pisa-2026-results-reading-math-scores/...
This is exactly what AI companies need, so that's development should be celebrated. There are two paths to capture the value that's currently wasted on paying people:
1. Build a system that's superior to nearly all people.
2. Make people worse, so even an inferior system is superior to them.
Getting AI into the classrooms and degrading the educational system are important for path #2.
It's good not to put all your eggs in one basket, so I'm glad the AI industry is pursuing a multi-pronged strategy against their competitors. Who cares about the waste and destruction for humanity, as long the investors get good returns?
We end up with shit results and where they arent shit students are rushed though as if to prevent them from thinking about the materials.
We have libraries full of unused education formulas. Some 2000 years old. Then there is nutrition, sleep and other work/rest ratios, physical health.
How expect results without learning to teach and learning to learn?
Onto what should one anchor learnings if the suroundings are always the same?
I never hear a word about spaced repetition in school. Its so basic i must conclude they knew nothing about what should have been their area of expertise.
When things get bad enough we will [finally] have reason to improve.
Maybe the great work of Salman Khan is merely a hint?
COVID generation.
The pandemic was barely 3 years ago, and stretched over 1-3 years depending on where you lived.
It will likely have a material impact on most developmental statistics for another decade.
LLms dont help here either.
Part of learning is about struggle. Seems many here want to disregard that fact and just run to the LLM lmao. Yeah you can do that - the knowledge won't really stick.
It's a real shame a leader of an education company doesn't value the actual learning process. Those "low value" processes are the building blocks to understand and master high level concepts. I'm not spending my day to day thinking about the low level memory allocation in my job, but that knowledge and work helps immensely in how I approach the higher level assignments and wider architecture. And I still kick myself because my assembly knowledge is is only 1.5 semester's worth.
And yes, I still look up how to construct an array in C++. Not really because my memory is bad (okay, kind of), but more for the practice of reviewing API's and parameters and maybe making new revelations. I probably knew internally some 12 years ago I could set an initial capacity in one of the array's constructors. I didn't really "understand" the value in that until one random work day 4 years later as I was working through some in-house container packages.
You can even say that doesn't matter if you know what resize() is, but it's those little bits of learning nuggets that builds you up from a "fine engineer" to a "great engineer". Less the knowledge and more the work ethics built to obtain it.
That’s a shame. I’m surprised someone so well versed in web technologies has such a brittle setup. Cloudflare Pages, or if you you’d prefer to stay CDN-less, a $4 VPS, will handle any sort of traffic this blog can reasonably receive.
I use AI both in the cloud (I tend to avoid Anthropic...) and with local models.
I've probably written more code in the past year than in my whole career. I can now create what I desire (I just created a telemark skiing game over the weekend based on my Strava segments). I think this has helped my teaching as well. In a recent ML course, I created many interactive examples that in the past were just doodles on my whiteboard, but are now embedded in the notebooks I give students.
I've also taught a few AI courses to clients as well. However, with the inevitable rust/ASM-ification of everything, I'm not sure how long those skills will be valid. I do, however, think that having a human in the loop for ML and data analysis is still important.
How will skill building happen when LLMs and coding harnesses seemingly provide all the answers at one's fingertips?
Having the taste and business sense to develop the right thing will be important. If it stops working, ask the AI to fix it.
That's at least what I do. Sometimes it feels performative at best, other time I get genuinely new ideas by having a vague thought turn into a tweak able viz.
Superior to any teacher I've ever had, no matter how involved they are. I genuinely don't even see what my teacher is needed for beyond a requirement for me to be there. I can ask the bot "can you clarify X section" at 3am and it'll do in 1 second. In class, the teacher reads the slides, adds some extra points and takes questions. But my bot does all this, completely personalized to me.
Times move on, and I don't see teachers surviving. I'm hoping by next year the college will offer an "at home, self paced course" option. Theres no reason for me to be there.
Have you independently verified your learning?
AI is moving fast, so I'm very open to the suggestion that Claude can do today what it couldn't six months ago. But my experience with folks who are learning from AI, historically, has been that they have high confidence in abilities they are not able to demonstrate when asked to show mastery through conventional problem solving.
I think that is possible with AI (I haven't experienced it), but I also feel like most folks use basic/naive/cursory techniques when using AI because they don't know what they don't know.
Part of it is shear volume of "stuff" that I'm doing on the fly while leaning on AI as a crutch for speed (otherwise why wouldn't I just do it myself), the other part is that it's ephemeral, even if you read all the lines of code, it's hard to beat manually typing them yourself for retention _and_ failing at it, and being forced to teach myself what I did wrong.
All that's to say, I think AI psychosis can happen at a group level.
I do, all the time. I get test, do good and then the college signs off that Im a certified mechanic when Im done.
Maybe its more of a critique on the school, but no one tests you on your ability to disassemble an engine and rebuild it. They simply make you write a test based off terms you learned in a textbook.
This was exactly my experience in high school, university, and now the same in college.
I would of killed for this bot during my math courses in university.
Then, for better or worse, I was pushed to honors and AP classes in high school. The same methods didn't work there. Things got more abstract and I needed to connect multiple concepts together. Math drills turned into word problems that revealed weaknesses in my older math fundamentals. reciting facts from a required reading wasn't enough; I needed to know what that meant and understand the setting of the book.
My grades suffered and you can argue the "academically optimal" way would have been to not take so many advanced classes. But those experiences definitely helped me to critically think better. Eventually (My English and History appreciation would come much later. Math and Science trained me well).
It is also a shame how much the quality of the teacher can affect this experience and perception of education as a whole. I wonder if those enthusiastic to replace the teacher ever had one that fit their needs?
Teachers and schools need to let LLMs do the things they are better at, and concentrate on having instructors do the things that LLMs cannot. Teachers that only read from the slides have always been a problem.
Your instructor should be having you dismantle an injector pump or bleed an air locked injector rail. You can read a book about how to do that, but you won’t really know how to do it until you’ve done it for reall
LLMs are not the solution to providing the best teacher at scale that people think it is.
You clearly have enough humility in your field to be able to soak up knowledge. That's great for you! I suggest your dedication is rare and teachers continue to be essential for society.
I never saw a teacher that managed to do that. Not to any of my classmates, nor to me.
Teaching should turn into conveyance of taste. The teacher should help figure out what needs to be examined and how to examine; help figure out ways to close the gap between the textbook and reality. AI can't do those things well yet, and perhaps it never will be able to.
We are kind of envisioning that university will be a place for social activities, mingling, rich people meeting partners, etc. So we are moving towards more of that.
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