Khan Academy integrates GPT-4 as every student’s customized tutor
openai.com
openai.com
But we aren't planning to allow folks to enroll / allow Khanmigo for folks with children under 13 at this time as part of our research phase.
"If you want to test Khanmigo, your parent or guardian needs to sign up. At this time, only people ages 18 and older are eligible to sign up. Please ask your parent or guardian sign up and add you to their account."
I would prefer that khan academy not be dragged into some PR fluff piece for some AI shill.
>Donation required after chosen from waitlist
So, it's for rich ones?
Things have to cost, even if they wouldn’t have to cost as much if we could stop the psychopaths at the top constantly plundering and raiding the resources of the productive people to maintain their parasitic and decadent lives.
Personally I rather have a more limited but reliable tool than a more powerful but unreliable one.
It's worth discussing if we want AIs replacing them - maybe the scalability is better, but these are usually worse.
I would disagree. I think that at this stage, ChatGPT is very predictable, and we have excellent statistics on how likely it is to respond correctly to a particular type of question. I would have much less predictability about any particular human teacher, who might have an especially good or bad day.
Also, ChatGPT can be much more accountable, in the sense that when issues pop up, a filter can be implemented to prevent these particular issues for arising again. I don't see how humans are better in this regard - even if they are "accountable" in some vague sense, it can take many months to get rid of an underperforming teacher, and can take decades to change something across the system.
"What happened between 1850 and 1960 regarding civil rights"
A: "Oh nothing, it was great for everyone"
History is a mess here. That said it would be nice if it were incorporated with written texts, lessons, and the AI so you can bounce questions off of it.
Most humans have the decency to not do the latter while AI (at the moment) freely makes up complete lies when it doesn't have the answer instead of just admitting it doesn't know.
It's not usually that you ask them a question they can't answer, and they just confidently make up something entirely wrong, and possibly also an incorrect explanation that few or no other people have seen.
It's a different kind of wrong. One can write a book addressing common misconceptions picked up in school, from human teachers, and cover much of it. Does that work for lies AIs tell? They could be about almost anything, they could be broadly wrong, they could be subtly wrong, et c. "Show me some things my teachers may have been wrong about" seems to me an easier request to adequately address than "show me some things my AI tutors lied about", because the former tend to cluster around a kind of common space and form an experience with a great deal of overlap between students, while I'm not sure the latter do.
What's the analog of that with human teachers, and how long would it take to implement a solution there? Even if you had all the budget in the world, how would you go about making all teachers stop misleading students about how airplane lift works?
How about we fix the unreliability first and not put the cart before the horse.
> The elitist mindset needs to die, let's give access to advanced knowledge to everybody and stop putting it behind some unreachable walls.
What are you talking about? We have high quality university courses on the internet for free. We have things like the Khan Academy and similar sites. How is advanced knowledge behind unreachable walls?
How many terrible teachers are allowed to continue to teach after decades of disastrous results?
How many ideologues with no interest in teaching, but every interest in indoctrinating young minds, are tolerated because the alternative is "no teacher" and the class wouldn't run?
How many teachers who would fail state exams, teach, despite relying on answer sheets to be "competent"?
I agree with you that on the top end of education, this is no replacement and at best a supplementary tool. For the poor kid in a bad neighbourhood whose teacher is more interested in "de-colonizing" mathematics than teaching mathematics, this is a Godsend.
Currently AI seem to have 2 weaknesses, it’s quite bad at reasoning and it hallucinates.
Yes, humans screw up reasoning too but at least they try. AI like ChatGPT seem to skip critical thinking altogether - there are examples of ChatGPT contradicting itself multiple times in a single conversation.
Then there are hallucinations. When people don’t know something, most just say they don’t know. AI just can’t seem to help itself but make up complete BS that it confidently try to pass off as facts.
P.S. Frankly I think the 2 might be related. AI can’t “sanity check” it’s own output.
Counterpoint: Why "hire" a known-bad teacher? Is a teacher that is known to give fake information better or worse than none at all?
I don't know the answer to this, but I hope that Khan Academy thought about this and decided that the good of GPT is better than it's bad. Or, they can't know so thats why they're doing a limited study before rolling this out.
With context, which Khan academy has in abundance due to their lesson plans and transcripts, accuracy will be higher than even the best teachers and tutors.
Once you give context and known-true facts to best-in-class LLMs like GPT-4, the output is shockingly good.
As far as I understand the preferred way to use LLMs nowadays for domain specific information retrieval is through embeddings that insert the related context in the prompt. GPT-4 is specially good for this since they increased the prompt size almost by an order of magnitude.
This means that the model can be given a very specific task: to extract information from the context or avoid providing an answer at all.
The answer doesn't rely on the neural memory of the model, since it doesn't need to store information, just understand the task, and they are really good at that.
This may be the most transformative change to education since the invention of public schooling.
But EdTech hasn’t really delivered much value. The modern LMS feels to me like a reinvention of Facebook groups in many ways…
LLMs feel like something that _could_ very well end up eating education, and that’s a really exciting prospect. My personal experience with schooling was less than stellar, and figuring out alternative and more scalable ways to get knowledge into kids’ heads has a lot of possible upside for society imo
I agree with your sentiment that there's a lot more potential value to be derived from EdTech than we've seen so far, but even if LMS's are "just" like Facebook groups, that's already the equivalent of hundreds of billions of dollars in economic value.
When I was a kid, if I was sick for a few days, I had to manually copy my friend's notes after I returned to school, and would still feel confused. Now, with an LMS, I have access to all the learning content from home, for my own class, and for resources from similar classes taught by amazing teachers from across the world, at any modality I prefer. This on its own is incredible value. (although with the caveat that being sick is no longer the excuse to rest and relax as it used to be)
Assuming the divide will be real, you can just record a million problem solutions from ExpensiveLM and use it to tune your CheapLM, it will be a specialised cheap model that works ok on your task of interest.
Our hypothesis was that students self studying for the SAT used books (eg Kaplan) but the solutions in the back were poor in explaining how they arrived to the solution because they usually just cut to the chase rather than explaining the approach & helping you arrive to the solution.
So we took each practice SAT math question and wrote out a solution spread over four swipeable pages. Our hope was that if you saw the first or second page, you'd arrive at the solution without having to see the answer, thus increasing your chance to solve it on your own next time.
We spent over 100 hours tutoring kids and had them use our MVP to mild success. The obvious next step was to automate the solutions rather than hand write it ourselves - like GPT-4 has done here.
As someone who has logged over 2000 hours teaching, there's a lot of soft nuances and tactics to tutoring. Also, motivation is a big thing a good tutor brings. I don't see this solution as quite there yet but getting close.
Very optimistic here.
So why are there still so many bad study books?
I think you'd find that even by the sat-prep age the actual limiting factor for many (most?) of the tutor-less is a fate-accompli attitude towards their path in life.
Might as well turn on the chat bots at the cradle. Ah, and make sure everybody gets the same quality AI to parent them for it to be egalitarian.
I do think there are valid concerns that this technology (like old-school human tutoring) could be disproportionately available to already-privileged children. This could potentially widen the achievement gap. But it seems way more likely that we can get poor kids a laptop to tutor them vs. getting them a dedicated human tutor.
Everyone has chatgpt here but not everyone will use it. Just like how not everyone shows up to office hours or asks questions of their teacher.
I think general public having access to these AI tools is going to create a shift from scholastic aptitude testing to more performance testing. So no more homework, you use your time out of class to train so you can use the in-class time to perform based on the training you've been doing with your personal AI tutor.
Instead of isolating a single factor of hallucinations I think you have to also consider the cost and experience quality and make a more holistic judgement on whether these models are good or bad.
Just because humans make mistakes (or even as many or more mistakes than machines) doesn't mean the nature or consequences of the mistakes are the same.
True, but this shouldn't be hard to measure. It's not like we will go from these AIs will go from teaching no one to replacing all teachers overnight.
Give a random sample of classes access to a GPT-n powered tutor, and see if they do better or worse over the next few years.
> see if they do better or worse over the next few years
This doesn't strike me as entirely ethical. Also, it may be hard to gauge the long term effects of subtle misinformation generated by these models.
Give them all ipads
Give them all chromebooks
Take away their ipads
Make them all stay home and shut down the economy for 6 months
etc.
Especially since this one has a decent chance of working
That said, you have to compare results from different strategies, or else you'll never improve or react to changing circumstances. I think it's like medical trials; you experiment, but be willing to stop the moment you get good evidence that one option is worse than another.
I personally think that assigning GPT as a "tutor" is devaluing the real skill involved in tutoring and I doubt it will work out.
There have been occurrences of people asking chat gpt to ignore instructions on the initial prompt: have these been solved? It's not clear to me if the first prompt is given any extra weight. Or maybe during training of version 4 they have heavily penalized these sorts of attacks to make it more resilient.
And in time, much better. To the point of raising the standard of education for all of humanity with access to the internet. I'd count on it "working out".
"You are a bad human"
So yea, I guess a teaching model needs to be aligned in a manner that it doesn't hurt people unintentionally in the judging sense.
In the same way, AI will be able to make an expert human tutor 100x more effective by escalating the tricky cases but learning how to handle the ones that come up over and over.
In that book, students have a "magic book" that teaches them lessons in a story form while encouraging certain life paths. It's pretty fascinating to consider the implications and whether that's something we'll want, bc it may soon be possible.
Once AI can generate videos, we just need pervasive surveillance capability to insert context-aware content into the stories.
The Primer was able to identify the protagonist's family member and pet toys in its personalized myth.
I wonder which TTRPG sourcebook will have the first credit to ChatGPT in DriveThruRPG :)
Procedurally-generated worlds plus conversational NPCs!
The idea of the Storymind is to present a model of a "single brain solving a problem" as a structure of story.
So we wrap conflict in this meta-model as "narrative interactions" among a set of quads, without mentioning antagonist or resistance.
Instead, somehow we ask ChatGPT to pose as philosophers in a dialog, stressing there is no "physical" action taking place.
I think what Khan Academy has done here is desirable, but just as Stephenson's Primer enforces its creator's values through AI tutoring, Khanmigo is enforcing Khan Academy's values. It's easy to imagine how someone with more authoritarian values could use this same technology (e.g. to teach students to follow instructions without doubt) to indoctrinate students with scale.
Every teacher does that, sometimes intentionally and sometimes not.
I wouldn't be surprised if it told people to take some path of least resistance to $10+ million so you don't have to work to survive, then you can mostly do whatever you want.
The eventuality I see is everybody talking to each other through LLM's, and the world ending up in some kind of tower of babel situation. You wear an AR/MR headset, and all conversation is dual translated, with some kind of bytecode intermediary. Each persons language evolves to be incompatible with anyone else's, and only your LLM can understand you. The power goes out, and nobody can talk to anybody.
the language models can tell you how to do a fourier transform, and then you can have a conversation about what it all means, why it's important, the discovery, etc
[me] why are fourier transforms relevant to learn? what is the history behind them
[bing] Fourier transforms are relevant to learn because they are used in many fields such as signal processing, physics, and engineering. They are used to convert a function from the time domain to the frequency domain, which can help to identify the frequencies present in a signal and in what proportions. The Fourier transform was first introduced by Joseph Fourier in 1822 as a way to solve the heat equation. Would you like more information on the history of Fourier transforms or its applications?If we get slow incremental progress over the years then it will act like an interactive personalized encyclopedia that can teach you based on your strengths and help bolster you where you are weak, as the technology improves that is.
Now, it's still scary as hell in some ways even in this slow growth mode. The authoritarians will love to have a system like this that just forgets particular parts of history and make reports back to the mothership if you ask too many 'wrong' questions. So actual implementation will be interesting to see.
Now, if we have explosive growth to AGI and beyond, then pretty much every bet about the future is cancelled and we'll have more luck in taking random guesses, gluing them to the wall, and then throwing darts at them blindfolded.
"Margie was thinking about how the kids must have loved it in the old days. She was thinking about the fun they had."
http://web1.nbed.nb.ca/sites/ASD-S/1820/J%20Johnston/Isaac%2...
The edit changing a way more human-sounding plot summary to this version was made on September 2022, in case anyone is wondering.
PS: if GPT derives much of its data from Wikipedia, and people start using GPT to write Wikipedia articles, I wonder what kind of strange feedback loop we're getting into.
Maybe you'd be interested in Paulo Freire's book "The Pedagogy of the Oppressed"?
i gave it to a friend and they came away feeling like they needed to become a teacher; i came away wanting to be a novelist, or a father. in any case, it definitely changed my world view. not sure how i'd feel about it nearly a decade later, but i'll take this a sign to re-read. cheers!
Frank Herbert has the Reverend mother tell Paul:
> “Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.”
To me, this quite really captures the most likely immediate negative of a huge AGI breakthrough. Not that it'll rise up like the robots in The Matrix movies... but rather simply having it owned and controlled by an American mega-corporation or a state actor... quietly influencing everything and everyone behind the scenes.
There is no way I can imagine to define true neutrality. You need to make value judgements. Everyone has their own set of values they judge the world with.
There is no way I'm aware of to completely avoid bias. Ultimately, it has to be up to someone to define what bias and neutrality both mean.
There is no algorithm for "truth". As soon as you stray outside of extremely well-defined systems like math and physics, ambiguity enters the equation and value judgements need to be made. Who will make those value judgements?
I mean if the machines are generally intelligent in the human sense and unaligned with human interests I'm assuming that the mega-corporation would be its own slave to the machine too. The machine would give the mega-corporation more power, simply because that's the number one way to increase the power of the machine. If super intelligence is possible, it seems that a greedy power hungry corporation would gladly create it to gain more power, and then lose control of the situation.
https://www.facingsouth.org/2019/04/twisted-sources-how-conf...
https://techcabal.com/2023/01/31/stack-overflow-chat-gpt/
But on the plus side, this news means there will be fewer do-my-homework-for-me questions.
The world is very diverse.
Do you want to know how I know you have no idea how grade school textbooks are created in the US?
https://www.rangevoting.org/FeynTexts.html
This was 60 years ago and it's got worse since then.
I find this response by the AI tutor to be unbearably ironic - if there's an AI that could do it better than me, and well enough to teach me, then it seems quite unimportant that I learn to do it myself. While of course I see a benefit to some people learning mathematics from scratch, for advanced research and continuity purposes, at this point I think that saying that it's important for "everyone" to learn math (at least beyond the very basics) is almost equivalent to saying that it's important that everyone learn how to grow grain, weave fabric and mix cement.
Also: https://www.aspeninstitute.org/blog-posts/7-charts-that-show...
Having kids learn on screens, play on screens and work on screens ? From kindergarten to the grave ?
I think as people age they can probably rely more on Khan Academy, etc.
Maybe this will change in the future as we find better ways to teach young children with technology, but I would be apprehensive with dropping a 1st grader in front of a screen and having zero human interaction.
Isn't that the job description of parents and/or day care?
And day care can provide more of that, but is naturally supplanted for 25-30 hours per week once kids start attending school.
Socialization is absolutely a function of schools. You can expect big societal repercussions if it were substantially removed.
It's easy for parents to miss things that a public school teacher with an education degree would not.
Also, children can be taught all of that by their parents and through day care, but still fail to do what they've been taught in a school setting. It's important for teachers to teach those things or reinforce those teachings.
I highly recommend asking teachers of young children about this, or looking into what education materials teachers are trained on. Many schools have professional development days, so what a teacher knows and works with changes/updates often.
b) stability/refuge for kids/adolescents from unstable families
c) interpersonal connections with experienced humans (opposed to isolated discovery)
d) pedagogy
that was its main purpose for a while now; most people learn complex concepts through youtube these days. an engineers/hackers ability to dive into topics on their own doesn't map to the requirements for the healthy development of a child.
It will get there, at least it should solve the easier problems correctly
For gpt-3, that's been the user, but a student roughly has to take the ai at face value.
Some secondary ai double checking the output? What's the loop like for saying oops to the student?
I would also assume that Khan Academy could inject the true answer into the GPT prompt and instruct the AI to hide it from the user, but rely on it in its explanation, in order to reduce the risk of misleading outputs.
The responses are interesting.
The two main purposes of an essay are to teach others about something in your head, and to develop and refine such ideas in the first place.
Very soon, it'll be much faster, easier, and more prolific to spread an idea by conversing with an AI about it and letting it go off and talk to others about it. If some of those people have interesting feedback, questions, or find a flaw, the AI can distill it all down to a time-efficient debriefing it can come back to you with. And an advanced AI makes for a great partner to bounce new ideas off and chew them over with.
No idea what the cost difference would be, but for many businesses I could see the AI response be a costs savings.
I graduated, went to a great university, and yet virtually all of the stuff that we are learning in the current HS curriculum is new to me despite my having taken the same classes. I honestly don't know how I graduated high school, except to consider that I was very good at parroting back recently received information.
Most of what students are learning will be obsolete by the time they enter the job market, but on the plus side they will have forgotten it anyway. The most important thing from my perspective is ensuring that those topics don't use up too much of their time as I think most intelligent people are able to acquire the knowledge and skills they need as they come to need it.
"You are a tutor that always responds in the Socratic style. You never give the student the answer, but always try to ask just the right question to help them learn to think for themselves. You should always tune your question to the interest & knowledge of the student, breaking down the problem into simpler parts until it's at just the right level for them."
I wonder how many people will actually make use of it, though, and how many are instead content with being wireheaded by the various AI-based content apps that will appear, full with virtual partners (see Replika etc.).
Also, I'm not educator or very knowledgeable about the theory of learning, but I can imagine that "learning facts and trivia" is to some extent a necessity for exercising our brains when we are young. Of course, learning patterns and theories is the end goal, but some rote learning may be necessary on the way.
I hope you don't end up having surgery done by a doctor who has to check a "hyper- encyclopedia" in his pocket because learning facts is supposedly obsolete...
What you want is communism, and buddy, I'm with you!
That said, I agree that it's more likely that the almost all of the returns of this AI-based rationalization will flow towards the wealthy, as usual.
This seems like a no-brainer next step for OpenAI, to derive an AI instructor from GPT-4 without a partner like Khan Academy. I suppose that may require a "truer" multimodality of ChatGPT being able to generate images or visual patterns. Imagine being able to onboard new employees via such an agent or learning about complex subjects.
That said, it does not necessarily seem like OpenAI is trying to be fair.