I've mostly used it for reading textbooks or academic papers (and taking notes on them) and it works fine for me. It can be a little small but you can zoom in if you need
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It's likely because GPU calculations are non-deterministic and small differences in floating point numbers could lead to different outcomes (either in the way you described or somewhere deeper in the model)
That's not how the First Amendment works. Cornell University is a private organization and it can choose not to do business with people if it wants to, provided that it's not breaking other laws by doing so. Students get suspended or expelled for speech all the time. (I would guess public universities can too - the First Amendment says "Congress shall make no law..." - not sure where its boundaries are drawn though.)
Private universities can be subject to free speech rules: states could mandate them, and if they take federal grants or otherwise do business with the federal government they could be subject to additional rules. See https://campusfreespeechguide.pen.org/the-law/the-basics/
A public university is restricted by the first amendment. That doesn't mean they can never have speech limitations, but political speech is very heavily protected.
Cornell is a private university, but it does receive significant government money and some of it's underling colleges are state funded. If it was acting in a way as to obviously disrespect the first amendment, that funding could be revoked.
Cornell isn’t a fully private university. I really doubt it can do any more censorship than a fully public university.
> Although it's an Ivy League university, chartered as a private institution, it includes undergraduate colleges and schools that receive some funding from New York State. They are sometimes called state contract colleges. The state subsidy results in lower tuition for students who have New York State residency and are enrolled in these colleges or schools
Many of my friends who are tech workers who've worked at unicorns and tech giants for 5-10 years bought their first homes in SF during the pandemic. I would guess part of the drop in rents is a shift in demand from former renters to new homeowners. Also, there was a general increase in prices across all asset classes during the pandemic that continued to drive prices up. Finally, property prices have actually gone up less in SF than they have in the US as a whole, likely because of the general effect of people moving away - compare the change from January 2020 to today in this chart https://fred.stlouisfed.org/series/MSPUS vs this chart https://www.zillow.com/san-francisco-ca/home-values/
Rents are definitely down - or at least they were 1.5 years ago when I last moved. Before the pandemic, 1 bedrooms were usually at least $3500 and often $4000+. When I looked last January, there were decent places between $2500 and $3000. I emailed some landlords saying "is there any chance you could go lower" and they offered me free rent for 1-3 months. I ended up with a pretty good deal on a large one bedroom in the Mission.
I have seen more 'For rent' signs in the last 3 or 4 months than I have in the last 15 years I've been living here. No idea how that translates to rent prices though.
Do you have specific mathematical topics you're interested in?
I have tried reading textbooks a few times to teach myself but found it hard to stay motivated, so I found a tutor on Upwork to assign and grade homework problems and answer my questions. Along with math textbooks and YouTube videos, this has been super helpful for fleshing out my knowledge of college-level math that I never learned properly. It's also great because they can go at the pace you want and focus on topics you find challenging, interesting, or useful.
I like yoga but I don't feel that it's a super social activity. Maybe I just go to the wrong studios. Do you find that you talk a lot with other attendees? Or do you think the yoga itself is social?
My experience with that is that the attendees know of or attend other mindfulness, or consciousness events, sometimes colloquially called spiritual community. Its a relevant conversation starter to find out where those things are.
There is a parallel lingo and phrasing associated with them, that they gravitate towards if you speak that way.
Its a decent way to begin to see the same people in multiple places, which has a couple of benefits between you and them, as well as others around (or being introduced to others).
And finally, a yoga session is an okay date or social activity to bring someone else to.
i'd say in part that depends on how easy you are to talk to people. for an introvert it may not be social at all, and it may not be what helps if you actually seek interaction but you are to shy to initiate. on the other hand it may be just what you need. and environment where you are around others without being forced to talk to them but allowing you to slowly become comfortable over time.
Thanks for posting this! I found myself feeling quite lonely at the end of a 5-year relationship a few years ago and have spent a lot of time in the past few years trying to work through loneliness. I can't compare it to your situation - divorce with children must be really difficult - but I think male loneliness is a super important problem in our society and unfortunately it's something I had to put in a lot of work to address.
> The thing is I don't even like hanging out with people most of the time but I get into this space where it feels like a biological necessity.
Connecting with people is a biological necessity! It takes work but it's totally worth it.
I definitely agree with others that therapy is a good place to start. Also, it's okay to feel lonely. It's also okay to want to connect with people and to put work into it.
A few things that have worked for me:
- Just because older friendships have withered doesn't mean they can't be revived. Reach out to people to catch up - everyone loves feeling wanted every once in a while. Most of these won't turn into close friendships, but some might. And even if they don't, seeing old friends will make you feel more connected to more people and make life more colorful. The world is a lot more interesting when you hear more people's perspectives, I think.
- Join a club. Or join multiple clubs, even. A lot of people are looking for social outlets as pandemic restrictions recede. I like running so I joined a running club, but I'm sure you can find other clubs to join. There will probably be a lot of new members like yourself wanting to socialize - my running club is 20 years old but most of the active members joined since June 2021.
- You might consider finding roommates. Living alone is nice in some ways, but having roommates gives you built-in social interaction every day (as long as they're people you can tolerate). IMO more than one roommate is best.
- Make friends at work. If people don't eat lunch together, try to invite people to lunch. If they don't hang out after work, try proposing going to a bar one day. This might be higher effort than other ideas here, but I usually find that having casual work conversations fills at least a little of my social needs each days. (Obviously this doesn't apply if you work remotely.)
- Be vulnerable. You might be worried about others judging you for feeling lonely, but I don't think they will. You can express it to them in less direct terms, too - maybe "I feel like I've lost touch with my friends and I wanted to see how you're doing" or "I've been trying to rekindle friendships since the pandemic/the divorce." I had a conversation with a high school friend just a few weeks ago just like this, in fact. I think being vulnerable about things in my life (including but not limited to loneliness) helps deepen the relationships I have and makes my social interactions fill more of my emotional needs too.
For me, a mix of all these things have helped. I still feel lonely sometimes, but I feel a lot better than a few years ago. It's a lot of work to build friendships and a social structure, but it's well worth it for your happiness (and it'll make your new friends' lives better too).
You can just do that by adding large hidden layers or more hidden layers, up to a point. But eventually the signal that's coming from the input data is so diluted through all the neurons and layers that your models stop performing better as you add more neurons. Many of the advances in NNs come from structuring the neurons in particular ways - for example, in computer vision, convolutional neural networks. These are kind of a small neural network that looks at each part of the image and gives an output - basically, shrinking and summarizing the image - which is then fed into another small neural network that shrinks & summarizes some more, and so on until you have only one result, like "is this a cat" or something like that. Transformers, which are mostly used for natural language processing, have small neural network layers that let the network figure out which other words in a text are relevant for understanding a given word (or, token, really). These help simplify the problem for the NN so it doesn't have to sort through all the data it has at once, which is a bottleneck on scaling NNs.
Not sure that explains it like you're 5, but hopefully it addresses your question
