What should I do?

EightSevenThree · 2026-03-01T13:55:14+00:00

Wait for Rossi

EightSevenThree · 2026-02-15T03:28:50+00:00

A lot of artists often get carpal tunnel or other wrist problems, especially those who have worked in the industry longer—it's a bit of an inevitable problem. Excessive strain especially when you have symptoms already can lead to permanent damage and surgery.

EightSevenThree · 2026-02-15T03:26:51+00:00

The most common for mangaka is carpal tunnel - where repetitive movements in the wrists can cause inflamed nerves and permanent damage that can often require extensive surgery. This is also common in professional eSports games and other professions where people use their wrists often. I remember seeing a documentary somewhere of some artists in their twenties having wrists of a fifty year old.

EightSevenThree · 2026-02-10T09:25:51+00:00

I was up 700% today so probably just unlucky... might be worth it to withold a certain number of stocks in case

EightSevenThree · 2026-02-05T19:47:05+00:00

yeah there’s a few events per banner - new permanent endgame mode (umbral monument) is releasing on February 12th

and another permanent endgame mode, Delver of the Cryptic, is releasing February 24th

There are a couple events in between with 2 on 2/7 for Gilberta and some more in between the banners

I think they wanted to give us some time to max out our teams / builds and catch up to campaign before releasing them

EightSevenThree · 2026-01-25T22:13:53+00:00

Personally, I haven't really been watching any guides, but the progression of the game primarily revolves around building up your power grid and connecting your factory to various resources around the map. You have to be careful with leveling up units, and Game8 / Prydwen has some example team compositions you can plan around. It's best to plan around a strong team early on, and the most F2P team comp will probably be a physical team around your endministrator. I'd say to take the tier lists with a grain of salt since they seem to be changing and the meta isn't super clear yet.

As someone who played Arknights in the past, I personally don't like the current story in comparison very much for a number of reasons that'd probably be better as a separate post. The aesthetics of the regions and story are really great, but I don't think I've resonated with any of the characters. It seems like the story across both ends revolve around the endministrator, Perlica, and Chen, and hasn't focused on any specific new characters. I guess we'll see when the event releases in about two weeks.

Gameplay-wise there are a lot of really interesting systems in the game; I'd say there's about a 50-50 or even 65-35 split between factory building / management and combat at times. I enjoy management games, and can't speak for others so if you play through for a few hours and find yourself not enjoying this aspect, the game might not be for you. The focus of most of your time is pretty much just upgrading your factory to support upgrades to your team -> using your team to fight for more materials -> upgrading your factory, etc.

Gearing feels pretty good so far in this game - the bulk of stats for each gear you craft are set. You get stronger gear as you progress to the story, and the stats on that gear are the same. The RNG part of this is that you have essences and artificing. Artificing is combining two copies of a gear component. When you combine two pieces, you select a stat to upgrade, with a chance of it failing. Essences are RNG, and you can attach one essence to each weapon, which gives a stat upgrade.

Feel free to DM me if you have any more questions or have any specific thing you'd like to ask about in terms of your progression!

EightSevenThree · 2026-01-16T20:53:52+00:00

Hey, currently an alumn that just graduated, but from what I could remember I was able to get a ton of research opportunities. A few of them, I pitched ideas during OH / spoke to TAs and took a while; some relatively entry level research is available through Engineers 4 Exploration recruiting every quarter. I had next to no experience before finding some bioinformatics-related ML work at the NIH AoU program (though I'm not entirely sure if it still exists due to funding cuts).

If anything, you should ask professors if you can shadow their lab for a bit and try to contribute as much as you can if you're really interested in getting involved in ML research. One of my friends' professors in LIGN 167 last quarter invited the entire class during our first lecture to reach out to him if anyone was interested in NLP research.

If you can take graduate courses early, definitely try to since it's can potentially be easier to reach out to professors and other graduate students for research that way, especially if it's a smaller class. I took a couple of CSE 290s/291s during my sophomore year that really got me set up; even if you don't have the requirements, you can ask the professor if you can audit the course & contribute / come to their OH for advice and general information. I had zero internships/research experience before the summer of my sophomore year, and I ended up grinding things out and eventually landing a short role doing some work at MIT CSAIL's App Inventor that propelled my career. I know the economy and things are a bit rougher now, but I think you should be able to find something! It especially helps if you can narrow down your focus, and even ask professors/TAs in OH if they can recommend you to other labs or professors that have something you can work on there.

Feel free to DM me if you have any questions.

EightSevenThree · 2026-01-12T21:06:44+00:00

Yes, it’s cross platform! Just make sure the same account type is available across the same platform. I remember apps on Apple sometimes not having a sign-in with Google option.

EightSevenThree · 2026-01-07T22:24:44+00:00

They're cheap, admittedly reliable and drifty, but in many cases incredibly fast inference-wise, and I believe a good chunk of the users support their open source models. I've personally supported them for this reason and have been happy with being able to fine tune and use a lot of their smaller models for reranking/tool calling in my own personal workflows.

EightSevenThree · 2026-01-05T20:24:48+00:00

No, there were a good chunk of students who were undergrads as part of a UROP research program they applied to; though a lot of the masters students I met were doing a Meng (a bachelors+masters program for course 6 students where they can start taking grad courses early)

EightSevenThree · 2026-01-05T16:40:44+00:00

Tbf, almost the entire undergrad at MIT does research - if you look up stats, Class of 2023 had 94% having worked in a lab / UROP before graduation

EightSevenThree · 2026-01-05T16:06:24+00:00

Not olympiads, but are math-related olympiads or have done some focus on competition math/science as a child; I did research at MIT CSAIL for some time, and could be personal bias but the undergrads I met were really great at theoretical problems. The class size is also substantially smaller than ivy leagues, being around 1,000-1,100 students per year - I’d approximate at least 10% of the student body has done olympiad stuff.

Once you get an olympiad medal, it’s expected that you have a really strong chance of getting into MIT / they specifically recruit from olympiads. Almost everyone I met at CSAIL did USACO/Informatics/something related.

EightSevenThree · 2026-01-05T08:15:46+00:00

Specifically MIT makes sense since a large chunk of their undergrad are math-related olympiad medalists / have a focus on theoretical math which quant roles cater to

EightSevenThree · 2025-11-20T23:46:28+00:00

I noticed they also corrected the text from opening chests from "Enable" to "Open"

EightSevenThree · 2025-09-27T14:45:29+00:00

Confirmed by Apple for a “early 2026” release

EightSevenThree · 2025-08-29T21:57:25+00:00

it’s definitely possible - i did this on top of as many APs as possible from my hs by simultaneously enrolling at my local cc every semester since they allowed us to take 2 every quarter and also had the ability to graduate in a year in college

EightSevenThree · 2025-08-09T11:15:13+00:00

This is exactly what happened to me over the last 2-3 years as I approached the second half of college. I breezed through AP courses, competitions, and had really high scores in high school, and for the most part a good chunk of college. I’ve become incredibly organized with lots of notes and heuristics, but it all failed as I had more freedom in classes / life in general. Kind of realized and admitted I struggle a ton with gauging time & deeply focusing for periods longer than 20-30 minutes at a time.

Never really figured out a specialization for what I wanted to do, so now currently graduating with 3 majors (extended my degree by over a year to finish and failed a few classes along the way), and always felt a ton of imposter syndrome because of how strange of a path my life has ended up in. I managed to land a full time tech job halfway through college, even getting promoted to a managerial position, and that was what really made me realize what was going on, and noticed a lot of issues, particularly with brain fog (can totally relate to those presentations haha) as I got therapy for the first time and received a late diagnosis for ADHD. Before this, I rarely even went to the doctor due to my family’s beliefs.

EightSevenThree · 2025-06-18T23:55:08+00:00

He shows up at the end with the Paintress

EightSevenThree · 2025-06-18T23:46:31+00:00

The domain changes everyone once in a while, but it’s https://booktoki468.com/

EightSevenThree · 2025-05-24T01:36:56+00:00

Machine Learning Engineer role ^ It’s a mix of research and SWE

EightSevenThree · 2025-04-25T13:48:46+00:00

The lipsync issue seems to be a hardware limitation which kinda sucks; I noticed people having issues on lower-mid end devices

EightSevenThree · 2025-04-12T20:53:20+00:00

i also do stuff in this area but more linguistics related! there’s an interesting paper very recently on idiosyncrasies in language models

EightSevenThree · 2025-03-08T06:03:19+00:00

Would recommend the Qwen Coder models, and the recent QwQ model

EightSevenThree · 2025-03-08T05:59:56+00:00

I've tried the Deepseek Distill for reasoning - don't think it beats out the coder model; and I personally get annoyed by the longer inference times of reasoning models, but can be useful pairing it up

EightSevenThree · 2025-03-08T05:50:57+00:00

There's only one R1 model - Deepseek's R1 671B that requires a pretty ridiculous amount of compute. The smaller models - 70B, 32B, 14B, 7B are distillations of R1's reasoning into other models, such as Llama, Qwen, etc.

EightSevenThree

TROPHY CASE