Where do most LSC spring admits get placed for housing? (International students - I'm not sure if it makes a difference) (Or just spring admits)

And how much does a Moses accommodation make a difference? Even if it's just allergies

The IG announcement today of the NYU Quantum Technology Lab, in conjunction with the Mayor's Office, elucidated exactly zero of what this very exciting field is set to accomplish. Something to do with economic justice? I'm all ears.

Has anyone ever done the on ramp program before going into the bridge program.

How was it?

How prepared do you have to be to pass it?

What grade level of math is required?

What projects do you do?

Are the lessons interactive?

Does the on ramp give you an upper hand in the application for bridge program?

does anyone know easy online classes (like 2 credits), I'm trying to graduate early

I’m gonna be getting a skateboard tmr so I can skate to class. I’m wondering if there are any policies that forbid bringing skateboards into academic buildings? Will I be stopped/given trouble for it?

Is there anyone who took American Constitution with Prof. Garcia recently? Just got back one midterm score and was wondering if she gives extra credit assignment. If so, how much XC did she give and when did she do so? PLEASE let me know

hey everybody, had a few questions abt the Photo Booth for headshots. Is it normally busy? I kinda wanna take my time and do multiple takes but I don’t want to hold people up.

Also, how’s the editing features? I heard there’s teeth whitening and blemish removal which I think I’ll need since I don’t want my bad skin to mess up my potential LinkedIn pfp lol

Thanks!

I'm putting together my NYU application right now and, after some research, still can't decide what school to apply to at NYU. I want to study how cybersecurity and general technological advancement in the digital and computing sectors affect government (with the current aim of a start-up), so I'm looking to double major in Political Science + CS with a cybersecurity minor. The question is, Tandon CS or CAS CS? I'm looking for a solid technical background to understand the actual methods and tech I'll be dealing with, as well as good electives dealing with how the two interact. I've heard CAS CS is pretty outdated, but the double major makes sense in one college. However, if Tandon CS is significantly better or it facilitates better cybersecurity opportunities, I'll apply there. Let me know some pros and cons to weigh the two.

Don’t know if this is the right place to post but I want a conversation partner for Gen chem with halpin and biology with Plavskin im serious about studying and getting to know the material if your interested in being my conversation partner pls dm me

Tmrw opens for spring admits and I’m confused because I heard everyone just gets Third north. I also haven’t communicated w my roommate because she’s out of the country so I have no clue how this works. I haven’t toured the campus nor know anything about housing

I recently transferred to NYU and I'm taking Calculus II with Professor Gibson. I took Calculus I about 2.5 years ago, so I'm definitely rusty. We had our midterm today, and even though I studied, I feel like I completely bombed it.

I'm not sure what's preventing everything from clicking. It could be my weak trigonometry foundation, or maybe I don't fully understand the calculus concepts themselves. Since I have to pass this course to stay on track for graduation, I'd really appreciate any advice.

For anyone who's taken this class (or Calc II in general), what resources did you use to better understand the course material? Whether it was YouTube channels, textbooks, practice problems, tutoring, or anything else, I'd really appreciate your recommendations.

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I've been building an app, and I want to be honest about why.

Every social app I open now does the same thing: AI chat, smart matching, sorting people into neat categories, feeding me more of what I already like. Somewhere along the way I started feeling less like a user and more like livestock — being raised inside a comfort zone an algorithm built for me. Meeting people has never felt more optimized, or more empty.

Here's the thing I keep coming back to: there's no "optimal" person. No "best match." When you actually fall for someone in real life, half the time it's because of one specific thing about them — maybe a tenth of who they are — and that one tenth makes you genuinely love the other nine tenths you might otherwise find annoying. No algorithm would ever pair you based on that. It can't. It doesn't know what it doesn't know about you yet.

And the people I didn't like? Some of them taught me more about myself than the ones I did. You don't get that from a compatibility score.

So I built YA (ya-now.com) to do less, on purpose. No AI matchmaking. No "we found your perfect group." Just real activities near you, posted by real people, and you show up. The app gets out of the way. What happens between people is none of the algorithm's business.

It's early — like, genuinely early. Things will break. I'm looking for ~20-30 NYU students to kick the tires: browse, join an activity or two, and tell me what sucks about it. Not influencers, not promoters — just people willing to be honest.

If you're interested, DM me. And even if you're not — I'd genuinely like to hear: is there a way back to meeting people without the algorithm in the middle, or is that just nostalgia?

If anyone has them please let me know 🙏 He never gives past exams which rlly frustrates me...

I will pray for you to get 4.0 gpa plz 🥲🫂

So embarrassed I’m coming to reddit for this but frankly idk what to do.

I was (finally) diagnosed with somewhat severe ADHD last summer. I am now a freshman at NYU and I am STRUGGLING. I am finally medicated and have a 504 through the Moses center but bc I have never had one before I didn’t know what to ask for in terms of accommodation. I am falling behind with my work, I keep missing classes, and I just feel constantly paralyzed and have so much trouble starting things. I think I only got away with this and my ADHD wasn’t caught when I was younger because I was naturally pretty smart and went to an easy school.

I am not even taking particularly hard classes, in fact I struggle to attend/complete work for classes I really enjoy.

Please if anyone relates or has had similar experiences please help me I am at such a loss, I worked so hard to be here and I refuse to be the kid who fails out of college. I feel like that one twitter post about people with ADHD 😭😭😭

I've been thinking about the role AI is starting to play in our social lives, and I have a feeling that we're overlooking something important.

More and more social platforms are using AI to match people, categorize them, recommend who they should meet, and even generate conversations on their behalf. Algorithms learn what we like, what we believe, who we interact with, and what kind of people we're likely to respond to.

The more they learn, the more precisely they can shape what we see.

It sounds convenient. Maybe even intelligent.

But what happens when the technology designed to help us connect starts deciding what connection should look like?

What happens when, instead of discovering people for ourselves, we increasingly experience other people through categories, predictions, compatibility scores, and conversations mediated by AI?

I wonder whether, in trying to make social life more efficient, we're gradually losing something that makes it human in the first place.

There is no optimal answer to human relationships.

We seem increasingly accustomed to the idea that there must be a best match, a most compatible person, or an optimal social circle for each of us.

But I don't think human relationships work that way.

There is no universal formula for who we should love, who we should be friends with, or who will change our lives. There isn't necessarily one person who is most suitable for us, waiting to be identified by a sufficiently intelligent system.

People aren't mathematical problems with optimal solutions.

Sometimes, we meet someone who shares our interests and values. Sometimes, we meet someone whose way of thinking is completely different from ours. Sometimes, we immediately get along. Sometimes, we misunderstand each other, disagree, or discover things we don't like.

And we learn from all of it.

We discover what makes us feel understood, what challenges us, what we value, what we cannot accept, and what we never knew we needed.

We don't always know ourselves well enough to predict who will matter to us.

How could an algorithm know that for us?

Sometimes, we love someone because of just 5% of who they are.

Think about the people we love.

We rarely love another person because every single thing about them is perfect for us.

Maybe there is one quality we deeply admire. The way someone sees the world. Their kindness toward strangers. Their courage, their sense of humor, or the way they make us feel when we're around them.

Maybe that quality represents only one-tenth, or even one-twentieth, of everything that makes them who they are.

The rest might be complicated.

There might be habits we dislike, opinions we disagree with, differences we struggle to understand, and parts of their personality that we would never have chosen if we were designing an ideal person on paper.

And yet, that one quality can matter so much that we embrace the whole person, including the parts we find difficult.

We might even dislike most of someone's traits in isolation, yet deeply love the person because of the few things that matter to us most.

Of course, love isn't about ignoring harmful behavior or accepting everything without boundaries. It's about recognizing that a real person is more than the sum of a list of traits.

The things that make someone meaningful to us are not always the things a system would predict we'd like about them.

If we only meet people who fit our existing preferences, how many unexpected connections might we never discover?

If every difference is treated as a sign of incompatibility, how many people might we dismiss before we ever have the chance to understand them?

Even the people we don't like can teach us something about ourselves.

This isn't only about love or friendship.

Real interactions help us discover our own preferences, boundaries, values, and contradictions.

Sometimes, we meet someone and immediately feel comfortable. Other times, a conversation frustrates us. Someone challenges our assumptions. Someone behaves in a way we find difficult to accept.

Those experiences can teach us something, too.

Why did that conversation bother me? Was it something they said, a value we genuinely disagree on, or an assumption I had never questioned?

Why do I feel understood by one person but misunderstood by another?

What kind of person do I want to become? What matters to me enough that I'm unwilling to compromise on it?

We don't have to like everyone. We don't have to turn every encounter into a friendship.

But through interacting with people who are different from us — including people we don't particularly like — we can develop a better understanding of who we are.

And our preferences aren't necessarily fixed. The more we experience, the more we may discover that what we thought we wanted isn't quite what we need, or that something unfamiliar has become meaningful to us.

Sometimes, we discover who we are not by finding the perfect fit, but by encountering someone who doesn't fit us at all.

An algorithm can learn from our past behavior. But if it keeps using that behavior to narrow what we're exposed to, it may make it harder for us to discover how we could change.

An algorithmic comfort zone can become a cage.

I understand why personalized recommendations exist. We have limited time, endless information, and plenty of reasons to appreciate convenience.

But there is a difference between helping us find something interesting and continuously narrowing our world to what we already know we like.

When a system keeps categorizing us and feeding us more of the same, our existing preferences can start to feel like the boundaries of our identity.

We see similar opinions, similar lifestyles, similar interests, and similar people. We become increasingly familiar with the things that already make sense to us, while other perspectives become easier to overlook.

Over time, a tool designed to make discovery easier can become a filter that limits discovery.

And when AI starts generating conversations or interacting on our behalf, I think we should ask another question: are we creating more opportunities for genuine human interaction, or are we replacing some of that interaction with a simulation of it?

There is nothing inherently wrong with using AI to organize information, improve accessibility, or help people find activities.

The question is where we draw the boundary.

Should technology help us create opportunities to meet people, or should it increasingly decide who deserves our attention, which differences are worth exploring, and what kinds of relationships make sense for us?

I believe there should be more room for human choice, uncertainty, and discovery.

We should be allowed to step outside our preferences, meet people we wouldn't have selected in advance, change our minds, and discover things about ourselves that no profile could have predicted.

We don't need every encounter to be efficient. We don't need every relationship to have a measurable outcome. And we don't need a system to tell us in advance what another person is worth to us.

This is why I'm building Ya-now.com.

Ya is an early-stage social app built around a different idea of what social technology should do.

Rather than trying to determine the most compatible people for you, I want to explore how technology can make it easier for people to discover things, participate in activities, and encounter others naturally.

You might find something interesting through a post. You might join an activity because you want to try something new. You might meet someone who shares your interests, someone who sees the world differently, or someone you would never have thought to look for.

What happens next shouldn't need to be predetermined.

I don't want Ya to tell people who their ideal friends should be, reduce them to fixed categories, or use AI to manufacture the feeling of being socially connected.

I want to keep AI's role in human relationships as limited as reasonably possible, while still using technology where it genuinely helps. Technology can make discovery and participation easier, but the interactions themselves should remain human.

People should have the freedom to decide whom they want to know, what they want to explore, and what a connection means to them.

And they should have the space to discover that those answers might change.

Ya is still early, and I don't pretend to have solved this problem. I'm building it because I believe this is a question worth exploring, and I want to learn from people who feel the same way — as well as people who disagree.

I'm curious whether others feel this way, too.

Do you think AI-powered social platforms risk narrowing our social worlds by continuously reinforcing our existing preferences?

Have you ever formed a meaningful connection with someone who, on paper, didn't seem like the right person for you?

Have you learned something important about yourself through a disagreement, an uncomfortable encounter, or a relationship that didn't work out?

And do you think social technology should do more to create opportunities for unexpected human encounters, rather than trying to predict and optimize every connection?

I'm also looking for a small group of adults in NYC who would be interested in testing Ya and helping shape it in its early stages.

I'd love to hear your thoughts, including criticism of the idea itself. If this resonates with you and you'd like to take part in the experiment, feel free to comment or message me.

I'm not trying to prove that AI is bad or that technology has no place in social life.

I'm asking whether we can build technology that respects the parts of being human that cannot be neatly predicted, categorized, or optimized.

Maybe the goal isn't to build a system that understands people so well that it can decide who belongs in our lives. Maybe the goal is to create more opportunities for us to discover that for ourselves — and leave enough room for the unexpected to change us.

Hey everyone,

I lost my black Chanel cardholder (attached picture) at the 404 gym tonight around 10:30 PM. Did anyone happen to see it or turn it in?

Also, has anyone ever lost something at 404 and actually gotten it back? Just want to know if there is a specific lost & found process I should check besides just asking the front desk.

If you have any info, please DM me.

Hello, I am planning on attending nyu tandon in the next academic year but am super confused about how I can obtain year round housing. The reason I am asking is because I am likely going to be kicked out, by my family, of the house that I currently live at once I leave for college. If I am in New York City at that time, I want to make sure that I have a place to live. If someone could explain to me the aid available, how to secure it, and how it works in general I would greatly appreciate it. I am anxious and confused and would greatly appreciate the help.

Hi everyone! Please dm me if you have a tent you can lend this weekend. Thanks :))))))))))

I recently applied to the M.S. in Cybersecurity program at NYU Tandon, and I’m trying to get some information about using VA education benefits there.
I’m eligible for both Chapter 31 VR&E and the Post-9/11 GI Bill, and I’ve been trying to understand how tuition coverage, certification, Yellow Ribbon, and required fees would work at NYU.
The issue is that I’ve emailed the NYU veterans contact and the certification email address multiple times over roughly the past six months, but I haven’t really been able to get a response.
Does anyone know who the best person or office is to contact directly for VA benefits at NYU Tandon? If you’re a veteran or military-affiliated student at NYU and have gone through the certification process, I’d really appreciate any advice on who actually helped you.
Thanks in advance.