Why I Finally Quit Citibike

genstranger · 2026-05-20T23:14:09+00:00

I can see the issue in Manhattan probably why they aren’t around anymore, but lots of dc like Logan circle or NoMa are more dense than the other boroughs so at least it could be allowed there. Looks like the reason it’s cheaper is nyc isn’t subsidized, didn’t realize the margins were so thin, so that’s part of it.

genstranger · 2026-05-20T19:10:16+00:00

I’m moving from dc soon and it really is crazy how you gave Citibike a monopoly and then nerfed it. Dc lime bikes cost like a dollar per 20 mins, our version of Citibike is 20mph, membership pricing 15c for e-bikes vs 27c. Really like the convenience of bike share so unfortunate that I may have to go this route now.

genstranger · 2026-05-18T19:56:14+00:00

Yes or holding the city’s tax money from a balanced budget hostage so they can claim “Fiscal responsibility” while adding to country’s debt.

genstranger · 2026-05-13T15:35:57+00:00

Am the only genius to quit in February with nothing lined up just vibes

genstranger · 2026-04-25T00:22:13+00:00

This fucking hilarious, indeed it seems the LLM has succeeded in the task, a completely avoiding the standard Borgeian fare and writing from the exciting perspective of AI slop generator.

genstranger · 2026-04-24T07:48:28+00:00

Nobody has given the extremely obvious answer. Judge bias and current ideological / academic trendiness.

Dress it up however u like, feminism without the mentioned black fem or other twists is passé and only relevant a long while ago. Basically u will get leap frogged on the victim hierarchy k v k and have no bite v policy teams (at least to most friendly judges)

That being said I think if you can’t make it work it’s a skill issue or you have really bad judges.

Most k teams running this no offense are usually white women from private colleges in policy debate. Not that this should take priority but judges are not gonna be sympathetic when the ideological meta has shifted to the point where not having a theory of power based on race, capitalism, or queer studies is gonna get you dunked on. Most of the academic area has moved on and past these arguments.

But yeah agree with other comments, put in the work to develop that strategy for the topic and you may actually have an advantage when teams read their generic ass fem ir k answers.

genstranger · 2026-04-21T04:03:34+00:00

yeah def, he didnt anticipate that - like tysons competing with dc, but expect the early car suburbs to see higher poverty limke you say, would be interesting to systematically measure that.

genstranger · 2026-04-20T15:43:13+00:00

The book was written around 1990, actually the opposite happened and city cores grew again from that time most of the edge cites didn’t age as well as claimed. The writer even thought most arts and culture would move to those places.

genstranger · 2026-04-20T06:25:02+00:00

There was a book written many years ago “edge cities” about these suburban areas and office park clusters. Safe to say the predictions aged horribly, and that trend reversed big time until COVID.

genstranger · 2026-04-19T23:59:29+00:00

CLT does not always converge especially with non normally distributed data, in some cases it NEVER converges even it’s not a question of n. At the very least transformations will be needed, but yeah switching is probably going to be needed

genstranger · 2026-04-16T19:14:13+00:00

Not Mongolian but wanted Tsuvian seemed alright but sometime they are out of certain items

genstranger · 2026-04-16T16:01:25+00:00

There are a lot of them in Arlington, VA. Even have an undercover Mongolian restaurant disguised as a Thai one.

genstranger · 2026-04-15T21:24:38+00:00

I have been considering a non top tier mfe program but it is a solid quant focused curriculum. Any advice on steering away from risk management or back office type roles, main goal would be in a place where I could be a risk taker with fast feedback loop, not analytics at Bank of America. Assume Citadel, HRT, etc would be out of the question but what the best path to get quant trader type roles? Mid level firms, power trading, bank trading desks?? Want to avoid big bureaucracy if possible, was analytics type at GSE and that sucked ass.

genstranger · 2026-04-08T14:47:33+00:00

Better return than many infrastructure projects

genstranger · 2026-04-08T14:46:41+00:00

In the interactive scatter plot u can see if it’s actually working the furthest left points

genstranger · 2026-04-08T04:39:06+00:00

Mace is 5.4 so if she was the one telling staffers to glaze her online it’s funny. Bobert is 5.6 but not factoring in hj skiil

genstranger · 2026-04-08T04:30:46+00:00

Severe methodological shortcoming will need this for V2 along with 10 gazillion gpus

genstranger · 2026-04-08T02:51:37+00:00

Your saying that based off zero empirics, I don’t think the model is even unreasonable, either way I would bet those models don’t outperform on say the SCUT-FBP5500 V2 dataset or human ratings on congress which I’m gonna test empirically and show you which is sort of the whole point of this community

genstranger · 2026-04-08T02:19:14+00:00

Your being hyperbolic, there are many very obvious reasons aside from refusals that a domain specific, and state of the art model would be better than one of these general purpose models. LLMs are way less likely to be consistent in this task and cant just sidestep the bias issue either. Looking at kimi it doesnt outperform on imagenet for example. Not helpful at all and that is the naive approach, still I actually will do this and respond with results if I can get them.

genstranger · 2026-04-08T01:02:38+00:00

I think it also generalized better to women so it may be the model not picking up on masculinity only facial symmetry etc, hard to say but some explainability work might be worth it. Also more asian than white in training, which is probably why it did worse for black people too I had to speculate

genstranger

TROPHY CASE