Transcript

00:00:00I think AI and especially how students use AI is very telling of those motivations.
00:00:03You know, there are some students who are using it to complete work for them, you know, to do it on
00:00:08their behalf. And there are some students who, you know, are staying away from AI or using it
00:00:12proactively. They're using it in ways that reinforce their learning. It's our responsibility
00:00:16now as students to, you know, use this tool to, you know, achieve your own individual outcomes.
00:00:22Everyone is talking about how AI is changing education, but we figured what better way to
00:00:27learn about these changes than by asking actual students. My name is Greg, I'm from Anthropic,
00:00:32and today I'm joined by four university students who are here to give us the inside scoop. So why
00:00:37don't you all introduce yourselves? Hey, my name is Zain. I'm a final year student at the London
00:00:41School of Economics and I study Accounting and Finance. Hi, my name is Chloe. I'm a junior at
00:00:47Princeton studying Psychology and Computer Science. Hi, I'm Marcus. I'm a senior at UC Berkeley studying
00:00:52Econ and Data Science. I'm Tino. I'm a second year grad student at the Thunderbird School of Global
00:00:58Management at Arizona State University and I'm studying a master's in Digital Transformation.
00:01:03Amazing. Thank you for being here. Thank you. So let's start by setting the scene. What are the
00:01:08vibes like on campus these days with AI? How are people thinking about it? Yeah, so I did a survey
00:01:15not too long ago on how students are using AI and I saw that, you know, 90% of students are using AI
00:01:22in their day-to-day workflows, using it to summarize lectures, using it to answer problem sets
00:01:27to help give feedback on assignments that they had written. And so really a diverse sort of a use
00:01:34case for AI within students. It's having an impact. Universities are having to manage that. We're
00:01:40seeing changes in rules and regulations. We're seeing, you know, some courses ban it, other courses
00:01:45encourage it. And so students are in a bit of a gray zone right now where they may not know how to use AI.
00:01:52Yeah, I also concur. There is a lot of chaos in understanding AI and what role it will play in
00:01:58universities, but at the same time there's a lot of energy surrounding it, especially being at Berkeley
00:02:04and being so close to AI hype in the Bay Area. I also agree that like over 90%, if not basically
00:02:12everyone, uses AI in some way or form, mostly in the form of chatbots. Yeah, like summarizing
00:02:20lectures, doing assignments, answering questions where or when teachers, TAs, like can't answer them
00:02:28for you. I will say there is also a lot of confusion on like administrations or like a professor's end on
00:02:36how AI can play a role in the classroom. I mean we're slowly seeing some changes around that.
00:02:43As business students I see even myself and my colleagues like we use AI for a lot of different things.
00:02:50We use AI to understand and analyze business cases, do market research, just come up with financial
00:02:58research as well. So people use that for that as well. People also use AI as well to complete
00:03:05quizzes, you know, like when you don't have time because when you're a grad student sometimes you've
00:03:09got multiple jobs that you're working and you don't always have time. So sometimes you can see
00:03:15someone who just, you know, quickly submit answers and everything. So that's the bad side of it that
00:03:20when you're in grad school, you know, it's supposed to be like a time for you to expand
00:03:25your critical thinking. A time for you to be someone who is like more decisive, someone who has like
00:03:32substance in how you make decisions. And so that's I think that's the bad side of it. Yeah, I would say
00:03:38definitely the vibes are like really chaotic right now. Both I guess in a good and bad way. I think the
00:03:43good obviously like Zain said there's a lot of exploration and cool projects and stuff popping up.
00:03:48The bad is because everything is such a gray area it can be very difficult to stay resilient and hold
00:03:54yourself accountable. It's very easy to just be like I'm just going to give up and feed this all to AI
00:03:59and not do any of the thinking. I've noticed that there's a lot of tension as well between I guess
00:04:04like the line of how much is over relying on AI or how much is it good to actually have like an
00:04:09actual cooperation between those two. And I have also noticed that some people are really into it.
00:04:15So they use it a lot in terms of like all of their different workflows while others like my humanities
00:04:19and maybe some social science friends are a bit more hesitant and have a bit more concern. So there seems
00:04:25to be a growing like identity polarization effect that I think is will be really interesting to see
00:04:30how it goes. I'm curious you say that they're hesitant are they hesitant but still using it
00:04:37pretty regularly or is it a mix of some are using it a lot some are not using it at all? Yeah great
00:04:41question. I think there's a spectrum. A lot of especially like the pure humanities students have
00:04:46just completely opted out. I think because often in their classes and research there's a lot more of
00:04:51just close reading. While other I think like for social science I have noticed a slow trend where
00:04:57they're trying it out more and just seeing AI being applied beyond just like pure computational
00:05:02or like machine learning like context which has been cool. In a lot of computer science and also
00:05:08like other engineering classes it's still kind of a taboo to use AI. I mean in application these days
00:05:16we're using a lot of like AI coding assistance to build actual projects outside the classroom but in
00:05:22the classroom we're still using like vs code and blocking out these AI features because professors
00:05:29at least at the moment are still kind of discouraging it but we might see a shift
00:05:32in the next few years. I mean I know Stanford is beginning to have a course about learning to use
00:05:39AI tools in like software development and engineering. I think that's the number one
00:05:47I guess breakthrough with these AI tools is that the accessibility and barrier into building
00:05:53something like a project or software in general has gone down a lot especially with a lot of courses
00:05:59like with like Claude and like the developer docs for example it's been really helpful in teaching
00:06:05folks who don't come from like computer science background like in political science or in like
00:06:10psychology or even something like math be able to build their own projects on the side from like
00:06:19ideation to like a working prototype that's on a website or some kind of app deployment within
00:06:26the span of like a few days. Yeah I've seen that a lot at my university where students who you know
00:06:33don't typically have the confidence to go and build with you know raw code have now you know started
00:06:40using the terminal for example which is which is incredible to see and you know Claude code for
00:06:45example makes that so much more accessible so much friendlier which I think has been one of like the
00:06:51most crazy changes so far like myself even I don't have a computer science background but I'm
00:06:57comfortable in the terminal now which is crazy and I've seen it within societies as well so we have a
00:07:03number of societies at LSE and they each have like an Instagram page pretty basic easy to put together
00:07:10but now we're seeing societies have websites and these websites have a load more information
00:07:15and they're building them with Claude code because it's just so much easier now. So it seems like the
00:07:19AI transformation for students has already happened and we have mixed feelings about it. One thing that
00:07:25you all share is that you all are Claude campus ambassadors and you are each leading a student
00:07:30organization called the Claude Builder Club on your campus. So first of all maybe can one of you like
00:07:35give a quick summary of what it means to be a Claude campus ambassador and then the club that you're
00:07:40leading? Yeah I mean as Claude campus ambassadors our number one job slash role is to be the point of
00:07:50contact of engagement between what Infropic and Claude is offering and between that and students
00:07:57basically being a facilitator for that on campuses. Cool and since it's a club about builders what
00:08:05are people building? What are you seeing happen at your clubs? A lot of cool things have been built.
00:08:09I'll reference an example from a recent vibe-a-thon I did. I think a lot of the most fun ideas is not
00:08:14the most technically savvy ones but the ones that really start with human emotion. So one that was
00:08:19really cool was there's called the Princeton Prospect there's like kind of a bucket list of
00:08:24people that things people would like to do before they graduate and kind of gamifying that through
00:08:29a leaderboard and the best part of it actually was the winning team they were just a bunch of freshmen
00:08:35and they were all roommates so they just came into this for fun and with that human insight we're able
00:08:40to build out something that resonated with everyone and that was something really cool that I enjoyed
00:08:44seeing them build. I think one cool tool that my friend and I built was this place where you could
00:08:51basically put in your lecture slides and it gives you sort of like professor annotations down the
00:08:55side of each slide so it's it's so cool I've been using it so much for you know just revising through
00:09:00content in preparation for end of term exams and it's so good because it kind of preempts my
00:09:07questions and so I've prompted it such that it knows that I want to know the definitions of certain
00:09:12things on the slides. The slides can sometimes be a bit abstract and missing context so adding
00:09:16in the context on the side. Did you get a good grade in the class? I don't know we'll see.
00:09:20I think one one of my favorite things that someone has built with AI is this it's an app called
00:09:30course here and we have this challenge where like the most like amazing fun classes like when it's
00:09:36time to register for classes they just run out so quickly and you can like wait weeks and weeks to
00:09:42get like a seat in that class so um what they did is they built this AI and you can like just input
00:09:48the course that you want and then it's gonna alert you the moment a seat is open in that class so you
00:09:54can register for it. Oh we get that at our school. Instead of you like going back and checking every
00:09:58day class search. You get a notification that you jump on. Jump on and you get a seat yeah.
00:10:03I love that your next project idea. No exactly it's actually funny we have we have like a shortage of
00:10:10seats at university at my university. I'm talking about like actual seats like in the library for
00:10:15example um and so again my friend built this amazing tool that basically scans um all of all
00:10:21of the data that you can get the data on you know which classrooms are free and so it basically
00:10:26points all the free classrooms and tells you you know if there are no seats in the library then go
00:10:30to these ones and again like non-technical student building this which is insane unheard of but you
00:10:34know this is these are the possibilities. I've seen in the past few um hackathons or entrepreneurship
00:10:43classes where a lot of students have been looking into like health care use cases mixing computer
00:10:50vision with a cloud API to interpret a person's like emotions for like a mental health use case
00:10:59um like signs of stroke via like a camera on like someone's phone or like a separate like medical
00:11:05device or even signs of like dementia for example and all of them has been really interesting. It's
00:11:14so cool that people are spending their time doing that in school because that is kind of the magic
00:11:17of being a student is you do have time to just work on ideas and try new things and come up with
00:11:22projects that are just for fun they're just a side project absolutely yeah cool. So let's talk about
00:11:28learning with AI. I think one of the more tricky parts of this is that you know AI can be a tool
00:11:35to help you learn about anything you want to learn but it can also be used as a crutch to maybe
00:11:40prevent learning if you lean on it so I'm curious how you each personally balance that and how you
00:11:46see students balancing it and if you see students at your university balancing well. I think initially
00:11:52what we noticed was that even like amongst all classmates at first it was just like whatever
00:11:57the AI gives you that's what you put and then it's over time attitudes have started to change
00:12:03for like let's just put a little more effort and not even just let's just put effort in what we're
00:12:08putting together because let's say you have a group project and they're like four or five people on
00:12:12that group project everyone gets a different part and if everyone just does the first thing that AI
00:12:17gives them that's not going to produce a very good project at all. I think one thing about AI and
00:12:22education is that it's very telling of students motivations like why you're at university. I think
00:12:28students you know you can typically group three objectives for university. The first I would say
00:12:34is to learn to you know to deepen your understanding in your chosen topic. I would say a second
00:12:39objective is to you know position yourself for a career you know get a good job and I think the
00:12:45third is the social element of university where students are coming to to network to have fun
00:12:49enjoy themselves. I think like those are the three broad objectives for students and every student
00:12:55waits those differently like some students prefer you know they're coming to learn and they don't
00:12:59really care about the social aspect of uni and there are other students who you know they're
00:13:03coming because they want to get a good job and they want to enjoy university and they don't really care
00:13:07about the learning really and I think AI and especially how students use AI is very telling of
00:13:12those motivations. You know there are some students who are using it to complete work for them you know
00:13:17to do it on their behalf and those are typically the students who want to save time and want to
00:13:22you know put their efforts and motivations towards other things which is fine and there are some
00:13:26students who you know are staying away from AI or using it proactively they're using it in ways that
00:13:31reinforce their learning that make them better make them stronger and those are typically students that
00:13:35want to they want to learn themselves they want to depth you know have some depth to that to their
00:13:39knowledge and so I think that's what AI is revealing like why you're really at university because we have
00:13:44the tools now to be honest to get through university without actually learning much it's our
00:13:49responsibility now as students to you know use this tool to you know achieve your own individual outcome
00:13:55if you want to learn you can and if you want to bypass you know a lot of the exams and assignments
00:14:00you can pretty much do that and I don't think there's going to be any sort of like rules or
00:14:04regulations that come in place that can change how students use AI because like fundamentally I don't
00:14:10see how that would be possible and so I think the responsibility is in the student's hands it's like
00:14:15you're in control yeah definitely I actually agree and I think a lot of for how I use and approach AI
00:14:21is like intention I think even before I actually start prompting or asking it to do stuff I like to
00:14:26think about am I asking it to for example directly complete a task for me or is it more of like
00:14:31something that I'm brainstorming and I'd like to think about it from different perspectives
00:14:34and I think that piece is like I'm starting to see a lot more happen because I think AI is very good
00:14:40as like a catalyst for especially implementing and building things but the intention I think
00:14:45really comes from the students themselves I really resonate with that I think when these AI chatbots
00:14:50start coming out a few years ago either because of the technical limitations back then or just
00:14:57how little we understood about AI at the time the typical workflow was just you ask the chatbot
00:15:05question you get an answer and you do that maybe like 50 to 100 times across different
00:15:10conversations now I think people are becoming smarter and like you said are becoming more
00:15:15intentional with how they're using AI we're starting to have like more extended conversations
00:15:20across talking about one specific topic I've started like when I'm studying I'll have
00:15:26projects on Claude where I would have one for each class upload like the syllabus and a bunch of
00:15:34different course content I take in for each project and have a bunch of conversations acting as like
00:15:41individual files in like a folder for example and with these chatbots being able to in recent years
00:15:48manage context better manage memory better be a much more helpful assistant and I guess
00:15:53conversationalist when like working with me on a specific task you wonder how long it'll take before
00:16:01the societal aspect of things are going to catch up to how fast the technology
00:16:05is evolving right now like one example is that in like CS classes I know a few professors who do say
00:16:15like hey if you do use AI like you can put a disclaimer in like your assignment and also
00:16:22describe like how you use it and like each like homework or or a lab assignment but there isn't
00:16:27really like a integrated like framework thinking about like using AI in the class as part of the
00:16:34curriculum and I think we're still kind of waiting on integrations like that into like
00:16:39education that we may see in the next like five years so you feel like in general your professors
00:16:47and the administration might be a little bit behind the students in terms of AI literacy and adoption
00:16:51yeah I think there's still there's still adapting to it and I think naturally students are more like
00:16:57the fastest adopters because we're just reacting to like what's out there and we access information
00:17:05a lot quicker because we're like native to the internet yeah yeah I have to say I've seen some
00:17:10like pretty cool advancements in some of the courses at my university so we have a course
00:17:16called LSE 100 and every first year student has to take it and when I did it two years ago now
00:17:22there was no I mean we had AI but there was no guidance on how it should be used for this course
00:17:28my brother now actually is in first gen he's doing the course at LSE and he's told me it's completely
00:17:34changed so they basically give you guidance on how to use Claude so they say you should have a
00:17:39conversation with Claude give it a persona so they're giving guidance on students on how to
00:17:45actually use these and and use Claude for ways that aren't just direct outputs you know like getting
00:17:50the answers for your problems but actually a conversation with it and then they ask for the
00:17:54the conversation log because they want to see you know how are you interacting with it are you asking
00:17:59you know good questions back and is it a good conversation and then they film a video instead
00:18:04of putting an essay together so now it's a video of yourself and so you're encouraged to use AI
00:18:10but now in terms of like the marking you know you can't use it irresponsibly I have also noted that
00:18:16for some of my classes like the machine learning class I was taking this semester they have their
00:18:20own chatbot actually they built to specifically answer student questions and if they want to refer
00:18:25to lecture notes specifically it's pretty helpful for it I do think however that this is more of a
00:18:30band-aid approach because it doesn't really prevent students from just going to other types of AI tools
00:18:35that is not the school one to just ask for answers and advice yeah yeah university is is a one size
00:18:42fits all right at the moment where you know you have one lecturer for potentially two three hundred
00:18:46students in a class and those students all learn you know in different ways and so AI is acting
00:18:54more as a personalized tutor if you prompt it in the right way and if you you know encourage it to
00:18:59do so and and I've seen the learning mode from Claude where you know it's asking questions back
00:19:05to you it's it's more of a like a progressive development of of understanding which is good
00:19:10and there are students that are using it but I think you know it's about finding the students
00:19:16that that you know want to learn and want to progress because there are many students that
00:19:21you know if one AI tool goes away from like giving direct output or giving direct answers
00:19:27we're going to see just a shift of students to to the other. Tina were you going to say something
00:19:31about this by the way? Yeah I think I was going to piggyback on what Zain said because at my school
00:19:37Arizona State University we're super pro AI our career management center they built like a prompt
00:19:44bank for us for prompts that we can use to you know work through different scenarios and roles
00:19:51they also built like for our sustainability class as well the professor built her own bot
00:19:56as well and we actually there's a new class that they introduced called artificial intelligence
00:20:01chip strategy in the future of work and it was taught like for one semester but people were like
00:20:07yo we need this class and now it's taught like the whole fall and spring. This is all very positive
00:20:14which is great but I know that it's not all positive it's not all roses so I'm curious what
00:20:20are things that you are seeing that are not on the right track or things that you're afraid of or
00:20:25things that scare you? I mean cheating is like the top three use case if not like top one in
00:20:30universities but without a doubt it just comes from like what we discussed you put in a prompt or some
00:20:38input and chat gives out an output and a lot of students what they started off doing and a lot of
00:20:45them are still doing it's just taking that output and you know submitting it in an assignment. I
00:20:50think I mean if you look at the interface it's waiting for a question we're given the questions
00:20:55from the university it's never been easier to take that question and put it into the chatbot
00:21:00and get the mark scheme pretty much and so it's just so easy to get the answer and you really have
00:21:06to be strong as a student to go and work on that problem by yourself and do it yourself. Yeah I
00:21:12think a bit more of a nuanced take I have also noticed that for even students who are using AI
00:21:18to build their own projects and for example to try out different types of I guess technical
00:21:22implementations there's been a really strong sense of ownership shame that I've noticed whenever AI
00:21:28even gets mentioned that oh when I was building this project I used AI a little bit just because
00:21:32like I said I think the line between of how much the human is using the AI versus how much is the
00:21:38AI actually just controlling the whole project is very blurry right now so especially at the
00:21:43vibe-a-thon when I was for example asking the winners like how did you use Claude in your
00:21:47projects I had seen a lot of them build out brainstorm think through and like really iterate
00:21:53with Claude but when I asked him that question a lot of them just defaulted to oh Claude just like
00:21:58was very helpful and they did everything which I think right now like there's a lack of vocabulary
00:22:02and frameworks to like regard these types of AI usages which I also think is what's causing a lot
00:22:08of this polarization effect where schools are just either completely banning it but students are still
00:22:13using it regardless hence a lot of the cheating and just like not really being intentional or using
00:22:18their brains when they're interacting with AI which I'm a bit skeptical about the direction of this
00:22:24just because I think students are now required to be the resilient ones in the age of AI
00:22:29where they really need to be skeptical of every single time they use it without guidance from
00:22:33schools and institutions so I feel like if institutions or school can't really adapt to
00:22:38this quick enough there is a danger in it just kind of skewing and going into a more polarized
00:22:43direction I will say though the sensement and like how we interact with AI among students is changing
00:22:51I think like as university students we naturally do want to use our brains and and use it for something
00:22:57that's interesting to us in the past couple years yes people have just been pasting in questions
00:23:05as like prompts and taking the outputs to submit as like deliverables or assignments but people
00:23:12are beginning to be more interested in like doing something more with that like taking more ownership
00:23:17of their maybe their assignments but even more importantly like I guess projects on the side are
00:23:23things they want to make or or explore and I think a lot of students just kind of need that little push
00:23:29to see what's available and what's out there and back to the point about cheating I think a lot of
00:23:34students are also realizing that AI is pretty bad at cheating in context because there's all these
00:23:39patterns that started to come up like oh there's like a lot of m dashes or AI has a specific voice
00:23:44or tone or it doesn't actually understand to the level of what you know about the class which could
00:23:53be a whole conversation about how students actually know more than they think they do
00:23:58yeah I agree and I think students are evolving you know with AI I think when it first came out
00:24:04everyone's very excited students you know we're using the outputs directly but now like Mark has
00:24:09said you know people students are being more intentional with their prompts so potentially
00:24:15you know writing a little bit longer prompts you know directing Claude a little bit better
00:24:19than before them and I think that's just because we're getting more used to it like myself as a
00:24:24student I must have spent like thousand plus hours like talking to Claude now like I know what it you
00:24:29know how it responds and I'm learning more about the tool and as a result my interactions with it
00:24:34are getting better and like you said we're students and we want to use our brains the majority of us
00:24:40you know want to be intellectually stimulated and and so I think we're moving to to a time where
00:24:47students do genuinely use AI tools to benefit themselves and to actually you know go further
00:24:53rather than kind of limit themselves I guess by just relying on its output yeah I think when it
00:25:02comes to like cheating for example you know you've got that first level of you you ask you ask a
00:25:08question you get your output but in my instance the the final bosses can you present to us what
00:25:15you think you got to put together a presentation 10 minutes 15 minutes different your position
00:25:20and the AI is not going to be there you know at that time to speak for you or to give your
00:25:25ideas so in that way I feel that there's that like first level of like using it like you mentioned
00:25:32like maybe but then you get to a level where you need to in our case explain what what do you mean
00:25:40and everything so it's not so much a case of like yes there's that level of like people are cheating
00:25:46like doing just like small quizzes but then in our instance as well you actually have to always
00:25:51defend your position so you have to know what you're talking about let's talk about after
00:25:56college entering the job market first of all maybe we can do like a thumbs up down middle
00:26:03how does everyone feel about getting a job after graduation like constantly just like okay okay
00:26:12okay um tell me more okay well I guess like the good ones I think is like just having AI to be
00:26:20like a better like companion for like practicing for interviews brainstorming tailoring the resumes
00:26:26etc unfortunately the downside is that also companies are obviously using AI a lot more
00:26:32which involves a lot of higher views I've basically been talking to a like a screen this entire
00:26:37recruiting cycle um which is great but also can feel a little less human because I don't feel like
00:26:43there's like no chemistry like talking to a screen um are you doing are you doing interviews with like
00:26:49uh like you're talking to a robot not where it's explicitly but it's just like kind of a question
00:26:54on a screen for me and then I'm just like talking to myself um and I have also heard just a lot of
00:27:00anxiety about companies also using AI just to screen candidates and I think this also has just not been
00:27:07great for I guess like both my self-worth and also just like trying to figure out what the best like
00:27:12interviewing strategy or even like what jobs to apply to because now it just feels so much more
00:27:17random than before um I'm curious what do you guys think I agree with you especially like the
00:27:23screening job candidates um it's so painful because you can realize like from the entire
00:27:29hi I would like to invite you to apply for this job right up until you submit your CV you've put
00:27:34time together tailored your application everything and then 15 minutes later sorry regret to inform
00:27:39you when did you have time you know the AI generated email the AI generated email so that's like I think
00:27:48the really like big downside of that the upsides really are that um AI fluency has become a major
00:27:56like for example consulting firms now I know the top four consulting firms they used to hire
00:28:01generalist MBAs but now they are looking for MBAs who've got AI fluency so if you understand like how
00:28:08do you apply AI to different industries then you're like their number one candidate actually back to
00:28:13like Chloe's point I have had an AI like interview me before really and it was it was so nice it would
00:28:19give responses like like your response was super invigorating and informative and exciting and then
00:28:27let's move on to the next question did you get the job no but it was because um I didn't qualify
00:28:35I think they were looking for like rising juniors and I was a rising senior okay so I still got auto
00:28:40screen but um it wasn't as bad as I thought I guess um traditionally like Chloe said like there's higher
00:28:48views right now where like they take a recording rather than like an interactive conversation
00:28:53I actually kind of enjoyed um having a nice interview yeah as an AI I agree I agree okay uh
00:29:00speaking of um you know uh interesting uses of AI um Merriam-Webster named slop a word of the year
00:29:09um so I'm curious what AI slop means to you all and how do you see it impacting the people around
00:29:15you on campus I think it's like AI slope for me is when I receive an output from Claude or any
00:29:22other AI tool that I know that if I had just used my own brain like I could have come up with
00:29:26something better than that like that's kind of slop for me when so I think just going back to job
00:29:31applications when I'm asking it to you know help me write a cover letter for example which is a major
00:29:35use case for a lot of students and it gives me a cover letter which is so generic like every other
00:29:40student is applying with this and it's like this is not going to get me the job like that's you know
00:29:44the AI slop I think it's really funny that like AI responses can be so generic that it's its own voice
00:29:50at this point it's like a common like meme I guess for AI to have a lot of em dashes and um certain
00:29:57sound bites like you're absolutely right or like like let me think about that or or it has this
00:30:02like two sentence structure that it keeps giving me whenever I try to write like letters or um scripts
00:30:09for example where it's like you're not reinventing the wheel like you're building the next tesla
00:30:14yeah yeah um honestly it's everything you guys have said yeah um and then like you get you get
00:30:22the feedback you get the output and then it's up to you you know some people if you work with them
00:30:27in a group sadly they'll just paste that and you could see that at the end uh would you like claud
00:30:32to keep oh yeah that's claud can make mistakes retry retry yeah yeah that's my definition of AI slop so
00:30:41you mentioned group projects and I think this is a big thing right when you have a group of four or
00:30:45five at university and you have maybe a five thousand word report you how do you guys go about
00:30:51it because at my university there is there is sometimes some students who like don't want to use
00:30:56it I remember what like one student was saying like I'm gonna do this project before you guys get your
00:31:01your grubby AI hands on it and I was like okay um but like some students did he use that term
00:31:10like some students feel really strongly against it and when you're working in a group you know
00:31:13you have to take into consideration other people's thoughts um yeah what are your guys thoughts on
00:31:18that I can go first because we do a lot of those five thousand words uh kind of projects like maybe
00:31:25uh create a business case out of this business dilemma and how we do it like how we've recently
00:31:30started working on it is we'll take the paper or the question and we'll like create an outline
00:31:35or maybe ask AI can you create an outline for this paper for me like what should be in this paper and
00:31:40stuff and then we divide it amongst ourselves one thing I like doing a lot um is yes using that
00:31:46outline for like this example of like a five thousand word report amongst like four people
00:31:51like split it into different sections and then for each person covering um each section it's up to you
00:31:57and how you want to use AI whether you use it or not at all um what I like to do personally is have
00:32:06a lot of like bullet points or just like thought dumping into cloud and working with it to kind of
00:32:12structure my thoughts of going from random like bullet points or one-off phrases into more of an
00:32:20outline and then into paragraphs that I can kind of manually edit the wording of so it's more like
00:32:26my voice and tone and then one thing I really like asking Claude actually um is to give the
00:32:34context of who is usually reviewing my work for a job application for example it's like um this
00:32:40VP or like recruiter and then like in a class it's like a professor or a TA and ask like hey
00:32:47here are some criteria rate my work uh score out of 10 and I would do that maybe like two to three
00:32:56times um and it would always give me reasons about like why I graded like gave me a score
00:33:02a certain score yeah and what I could work and improve on a lot of times I like the feedback
00:33:08sometimes I think some of the feedback is a bit overzealous or ridiculous and in newer models like
00:33:16sauna and opus 4.5 there's they're starting to give like a bit of urgency whenever I ask it to evaluate
00:33:26my work too much almost like they're calling me out for overthinking um after maybe like the third
00:33:31try of like this like evaluation they'll be like it's ready to ship like yeah nice nice are there
00:33:37AI slackers and group projects like people who you can tell are not turning on their brains for the
00:33:42project with their grubby AI I mean definitely I think something that is most helpful for me
00:33:48is like obviously besides alignment and just like being very intentional when you're using AI a lot
00:33:53of face-to-face time actually yeah so what I like to do when I work on a group project is just block
00:33:58out a time chunk sit down with my group and we just talk about it as we work through it I think very
00:34:04often it's easy to feel like you're alone when you're just working on a group project on yourself
00:34:08which is what makes AI so tempting because you're just like oh what if I just had someone write it
00:34:12for me but if we were all forced to let's say sit down and talk together like if someone had a
00:34:17problem and work through it I think that definitely helps a lot with the more human piece of working
00:34:22together nice agreed okay I'm going to shift us to some rapid fire questions um so each should be like
00:34:28one to two sentences maximum so uh my first question is uh what is the tip that you have for students
00:34:35right now who are navigating this whole world of AI in education learn it learn it learn how to use it
00:34:41it's only to your advantage if you understand how it can optimize your career or if you decide to be
00:34:48an entrepreneur how it can optimize your business if you're trying to learn new concepts or revising
00:34:54for exam start a new project for every class you're taking in university try and paste in all the
00:35:02relevant files and perhaps you already have existing conversations where you've worked with claud to go
00:35:09through certain assignments and set the writing style to concise mode that's been most helpful for
00:35:16me to get a quick rundown in an efficient manner of like every concept I need to cover for an exam
00:35:24sub stack and open source materials there are so many cool people out there who know the best or
00:35:30newest ways to use different types of AI tools and what I've found most helpful is just soaking that
00:35:35up like a sponge and then applying it to my own projects Nate Jones on sub stack he's pretty good
00:35:40um my tip would be uh use the styles so uh you've mentioned it briefly the concise mode the learning
00:35:47mode is fantastic if you want to augment your own brain and augment your your own skills use the
00:35:53learning mode it will ask you questions back be confident in your replies back and you genuinely
00:35:58will get a better output than just leaning on on claud by itself all right next question um how do
00:36:04you in one sentence personally draw the line how do you draw the line between using AI as a tool
00:36:11and using AI as a crutch how do you where do you find that balance if I was in a room like this and
00:36:18I can't explain or defend what I've built even if someone asks like a super critical or specific
00:36:25question I think that's the line where you kind of don't really understand what's going on that's
00:36:30good I totally resonate with that it's a mix of like the ownership and intentionality if you can't
00:36:36really explain what you've done along with also including what AI's role was in your work or what
00:36:44you're doing then that's a line for me yeah that's another line for me as well like I should be able
00:36:49to explain it like I'm explaining to someone in fifth grade um whatever the output is and I should
00:36:55be able to present it as well even at a graduate level anything that I prepared so that's my line
00:37:01anything I create with AI I should be able to give that lower level and that upper level explanation
00:37:09yeah I agree with all of you I think if you're not comfortable with with the content that you've
00:37:13produced at the end of the day like is that really yours or are you just stealing that content from
00:37:19from Claude and so just feeling comfortable having some sort of like feeling of ownership that I've
00:37:25produced this work that's the line for me you know there are there have been times where I've submitted
00:37:31pieces which are like fully AI and it's just like this is not going to take me anywhere at the end
00:37:37of the day but you learn that and I think that's the biggest thing with students is that it takes
00:37:41time to learn those feelings and you kind of have to give it that time like a student might have to
00:37:47submit something 100 AI to realize that actually this was not beneficial for me and I think
00:37:52universities need to be conscious of the fact that students will learn and you've got to trust the
00:37:56students right at the end of the day they will they want to you know they they live their own lives and
00:38:01you know you want to set yourself up you have that equality between students and we'll figure it out
00:38:07like we'll figure out what works where it's good where it's not yeah like holding space I feel like
00:38:13that's a fantastic place to end I just wanted to say you know the we'll figure it out mentality
00:38:17this whole time I kind of expected this conversation to to shift into doomerism
00:38:22and it never quite did I think like all of you are you know thoughtfully positive about the
00:38:28future in a way that I I think is really exciting and really encouraging so thank you all for for
00:38:34being here for being honest and uh yeah I really appreciated this conversation thank you thank you

Key Takeaway

University students are navigating a chaotic but promising AI transformation where 90% use AI tools daily, with success depending on intentionality and maintaining the ability to explain and own their work rather than simply copying AI outputs.

Highlights

90% of students use AI daily for tasks like summarizing lectures, answering problem sets, and getting feedback on assignments

AI reveals students' true motivations at university - whether they're there to learn, get a job, or socialize - based on how they use it

Students are becoming more intentional with AI, having extended conversations and using features like learning mode rather than just copying outputs

Universities are slowly adapting: some courses now require students to submit conversation logs with AI to show their thinking process

AI has dramatically lowered barriers to building projects, allowing non-technical students to create working prototypes and websites within days

The job market is increasingly using AI for screening and interviews, creating both anxiety and new requirements for AI fluency

Students draw the line at AI as a crutch when they can't explain or defend what they've created without AI assistance

Timeline

The Current State of AI on Campus

Students discuss the widespread adoption of AI at universities, with approximately 90% of students using AI tools in their daily workflows for tasks like summarizing lectures, completing problem sets, and getting feedback on assignments. There's significant chaos and confusion around AI policies, with some courses banning it while others encourage it, creating a gray area for students. The conversation reveals different adoption rates across disciplines - computer science and business students embrace it heavily, while pure humanities students often opt out completely. A key breakthrough mentioned is how AI has dramatically lowered the barrier to building projects, enabling non-technical students to use tools like Claude Code to create websites and applications they couldn't have built before.

Student Projects and the Claude Builder Club

The students, all Claude campus ambassadors leading Claude Builder Clubs at their universities, share examples of innovative projects built by their peers. Notable projects include a tool that annotates lecture slides with professor-style explanations, an app that alerts students when seats open in popular courses, a classroom availability finder for library-scarce campuses, and healthcare applications using computer vision to detect signs of stroke or dementia. The winning team at one hackathon was a group of freshmen roommates who gamified Princeton's bucket list traditions through a leaderboard system. These examples demonstrate how students are using AI not just for coursework but to solve real campus problems and explore creative applications, with many builders coming from non-computer science backgrounds.

Learning with AI: Motivations and Intentions

The discussion shifts to how AI reveals students' true motivations for attending university - whether to learn deeply, position themselves for careers, or socialize - based on how they use these tools. Students explain that AI can be used either to bypass learning entirely or to enhance it through intentional prompting and conversation. The group emphasizes that student responsibility is paramount since no regulations can truly prevent misuse. They note evolving usage patterns: initially students just copied AI outputs, but now many engage in extended conversations, use learning modes, and organize coursework into projects with uploaded syllabi and course materials. Universities are slowly catching up, with some courses like LSE 100 now requiring students to submit conversation logs with AI and create video presentations instead of essays to demonstrate authentic understanding.

Challenges: Cheating, Polarization, and Institutional Lag

Students candidly discuss the darker side of AI adoption, acknowledging that cheating is among the top use cases at universities, with the ease of pasting questions into chatbots and submitting outputs. They identify a growing polarization effect where some students embrace AI fully while others, particularly in humanities, completely opt out. A significant challenge is the 'ownership shame' students feel when using AI for legitimate projects, lacking vocabulary to articulate how they collaborated with AI versus having AI do everything. The group notes that computer science classes still discourage AI use despite industry adoption, creating a disconnect between education and professional practice. They observe that students are required to be resilient and self-regulating in this age without sufficient institutional guidance, and that professors and administrations are generally behind students in AI literacy and adoption.

Job Market Realities and AI Slop

The conversation turns to post-graduation concerns, with students expressing mixed feelings about the job market transformed by AI. They describe increasingly depersonalized hiring processes including AI-screened applications that reject candidates within 15 minutes and 'HireVue' interviews where candidates talk to screens rather than humans. On the positive side, AI fluency has become a major hiring criterion, especially for consulting firms that now prioritize MBAs with AI skills. The group discusses 'AI slop' - generic, low-quality AI outputs characterized by excessive em dashes, phrases like 'you're absolutely right,' and formulaic two-sentence structures. Students recognize slop when AI produces something they know they could have done better themselves, particularly evident in generic cover letters that won't stand out in competitive job applications.

Group Work, Best Practices, and Drawing the Line

Students share practical strategies for navigating AI in group projects and coursework, including using AI to create outlines, bullet-point brainstorming with AI to structure thoughts, and asking AI to evaluate work from a professor's perspective multiple times for iterative improvement. They emphasize the importance of face-to-face collaboration time to prevent over-reliance on AI and maintain the human element. When asked how they draw the line between tool and crutch, all students converge on the same principle: if you can't explain and defend what you've created to someone else - whether at a fifth-grade or graduate level - then you've crossed into crutch territory. The conversation ends on an optimistic note with students expressing a 'we'll figure it out' mentality, trusting that students will learn through experience where AI helps and where it hinders, and that universities need to hold space for this learning process rather than imposing rigid restrictions.

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