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easterneyenews · 3 months

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hamletthedane · 10 months

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Still laughing at Brian May offhandedly writing the greatest understatement in the history of academia in his astrophysics doctoral dissertation:

Ah, yes - “various pressures.” Like being one of the greatest guitarists ever and playing/writing/singing for the most legendary rock band of all time.

Those various pressures.

#queen #Brian May #just a rock and roll god and also an astrophysicist #it’s like Deacon casually inventing the technology for all modern bass stereos bc he was an electrical engineer #a side gig of being a genius #along with their friends ‘learned opera at 5yo and literally SAW music’ and ‘chaos tornado with a promising career in dentistry’#Music #shut up e #these are twitter thoughts but twitter is dead so now I subject you all to them

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techtalkiz · 1 year

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#technology careers

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identityquest · 5 months

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allysion... girl i havent drawn u in 3 years

#sketch #digital art #ocs #oc:allysion #furry #sfw furry #her name is pronounced ah-liss-ee-un #shes one of my many alien cat species... shes the same species as enoseavion and areson. theyre all arteli #arteli have a clan system where different clans handle different careers and study paths. allysion is from a clan of mostly geologists #she specializes in speleology and mining technology. but she also married into a clan that specializes in linguistics #shes the direct ancestor of my oc areson. hes another i dont post often abt...#hes the last in his clan in the modern era and hes the first nonhuman to learn to speak english and communicate w/ romsir and co

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simplyavatrice · 2 months

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alba baptista in real performances in an unreal world - flite bts

#alba baptista #warrior nun #avatrice #albabaptistaedit #flite #she's so cute and small and her little beanie i'm losing it #i love her so much #and i love how fascinated she was with the technology #i think alba's acting career is way more about experiences than fame or anything like that #she just wants to try new stuff #her <3 #myedits

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jessanight · 2 months

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#Im not even really sure how to tag this #Art process #Art #maybe #i wrote this in response to more new AI technology #I just wanted to express why someone might be moved to create art or pursue a creative career beyond monetary gain #I think its essential to the human condition #Thats all #artists on tumblr

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sleepless-in-starbucks · 5 months

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hey guys wanna hear my hot take on changing established UI design choices?

IF IT AIN'T FUCKING BROKE DON'T FIX IT

#the cryptid speaks #caps tw #grringbitingbarkinghittingkilling discord #i didnt actually see the mobile update til a few hours ago and ARGH #if u have an established design!! and it's accessible!! and no one's complaining about it!! just!! leave it!!!!!! for the love of the gods!#things that make me want to abandon technology forever for real <- career plans are based around technology

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izicodes · 1 year

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Technology Stacks in Software Development

Have you ever been curious about how your favourite apps or websites are created? The process begins with selecting the appropriate technology stack!

I like to think of a technology stack as being like a recipe for making a cake (I love cakes, especially strawberry-flavoured ones). A technology stack is a set of tools and programming languages that developers use to create software applications. And just like how a cake recipe can use different ingredients, different technology stacks can use different programming languages, frameworks, and databases to build apps and websites.

So, what are some popular technology stacks that developers use? Let's review them~!

The specific combination of technologies that make up a stack can vary depending on the needs of the application, but here are some common technology stacks in software development:

LAMP Stack

This is a popular open-source stack that includes Linux as the operating system, Apache as the web server, MySQL as the database, and PHP as the programming language.

MEAN Stack

This is a stack that uses MongoDB as the NoSQL database, Express as the web framework, AngularJS as the frontend framework, and Node.js as the backend runtime.

MERN Stack

This is a stack that uses MongoDB as the NoSQL database, Express as the web framework, React as the frontend library, and Node.js as the backend runtime.

Ruby on Rails Stack

This is a stack that uses the Ruby programming language, the Rails framework, and a variety of tools and libraries to build web applications.

Java Stack

This is a stack that uses Java as the programming language, Spring as the web framework, and a variety of tools and libraries to build web applications.

.NET Stack

This is a stack that uses the .NET framework, C# as the programming language, and a variety of tools and libraries to build web applications.

Python Stack

This is a stack that uses Python as the programming language, Django as the web framework, and a variety of tools and libraries to build web applications.

“Do you have experience with this stack?”

If you're actively looking at job listings for developers, you might have seen 'MERN' or 'LAMP', etc in the job description. Companies often prefer to hire developers who have experience with specific technology stacks, as different stacks may have unique requirements and work better for certain projects.

It also ensures consistency across their applications and infrastructure. This gives developers an advantage in their job search, but it's important to remain adaptable and continue learning new technologies as the tech industry evolves.

Thanks for reading!! I tried super hard to condense what I learnt from the youtube videos I watch about technology stacks into a single post! Hope you learnt something new! 👏🏾💻💗

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outsidereveries · 4 months

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in the ninth issue you have access to see..

itzy, health check: from what i can see, i pulled (unconsiously) 1 card for each member - i can feel that lia is definitely feeling the worst out of the rest (last card). i really don't want to burden my audience more or less, but it's certain that jype didn't lie how she's really feeling. i feel that the fourth card is possibly yuna; whoever that is, is feeling better rather than a while ago. the middle card imo is, i am assuming, yeji, and i am aware she's gemini sun. whether this is yeji or not, is also healing, possibly from practice or something, related to dancing/exercise(s), but overall, she's ok. the second card is chaeryeong, at least i believe that's her: she is also feeling great. if she had injury or was ill, she's feeling better. the first card is possibly ryujin, i see that she's training a lot more on herself, whether that's about her health or to gain some more muscles, or practicing. if her health was shaky, she's healthier now. i am certain where i saw chaeryeong and lia but i am unsure of the rest of them, but i don't think the difference is much - apart from lia, the rest are feeling great.

why the drama surrounding fifty fifty happened: basically someone got seriously greedy, and i don't think it's someone from the group at all but someone from one of these two companies, i personally believe they're from the givers. there's nothing much but the other side seems to have been through similar times and they're trying to not make the same mistake again. definitely behind the scenes issue.

how outsiders see selena's position surrounding the i-p* conflict: they don't care for some reason? i am not sure that i actually see mixed opinions. she got called out because of it, right? i do see that these opinions aren't actually the ones that are the main point of view from outsiders' side. i actually see that these people actually, idk, don't care. don't get me wrong, but the situation is incredibly complex, even more than the previous one between u-r^ in my opinion because it's more one-sided, like a lot more, and i thought that the first^ was one-sided, the current* is different breed where people are actually aware and when in the previous situation i could actually see the both sides, i cannot in the reoccuring conflict^. the outsiders simply don't care in which side selena is and even if part of them actually do, the rest of them are simply egoistic for not being aware of usa's doings. i do see their main opinion is quite ignorant about this situation and they love how selena says that she cannot change the world with a post. i would say that their opinion could be better but it's egoistical one, and for obvious reasons.

how m'bappe feels about messi winning his 8th ballon d'or: he was happy, to be honest. he isn't jelaous or envious, m'bappe seems to be happy to live in the same era with messi himself. kyllian is feeling that duty for what he's acomplished so far, and he is happy for messi. like, he's like a proud son/brother, similar feeling like that.

johnny nct, career until march 24': not as well as he might expect? he might prefer to renew with sme, and i see that some other people might want to leave.. that will lead his solo career to be stagnant, or even uncertain at some point. it will get better after everything is resolved. since they asked about acting career and overseas activities, the second one is more likely to happen as of now, tbh, but i don't think they'll be in his home country for now.

usa's elections for their next president and their influence after them: yet again, the americans seem to not have choice but "settle" for someone who's less bad. no, no, that's not how it works, americans, either vote for different person who isn't scandalous, or not vote at all and make the elections invalid. their next president might be someone who is still bad but not that bad, you know? i don't see biden, or feel him. i do feel trump and someone else who is way worse than trump. americans might be still dissatisfied that trump won again? i do see trump winning again as of now. i don't think there will be newbies, just familiar faces. the reason i think why trump will win as of now is that the people outside of usa will feel better and not as controlled as of now. unless if there will be a cataclysm where trump isn't candidates, i see trump winning. i don't see biden, but i do see trump. i also feel worse energy from democratic party's side.

blackpink, comeback in the end of 2024? or subunit of them?: since i asked before the group renewals, as of now, lisa seems to be strongly against it, like very strongly. there are unresolved issues between her and yge and unless yge give her these fucking money, she'll oppose. i do see travelling for the girls and important gigs which possibly are group ones but idk, up to that. i don't see subunit debut.

jaemin nct, 2024 career: he might leave sme atp, there's something going on behind the scenes. he'll be overwhelmed :(

what sme thinks of jaemin: very smart but also a person who knows their secrets. if jaemin told sme that he'll reveal everything, they might be afraid of him. also very hardworking person.

what type of scandal boynextdoor might have in the future?: i've heard about the drama about that security guard person. it's not about that. possibly difficulties between 2 of the members (water and fire sign?? big3 is possible too)' personalities. it can be made into bullying scandal, by the way, but it might turn into controversy too, i am not sure how it might turn out.

what red velvet think of "chill kill" era?: tbh they're satisfied, they like it.

what red velvet think of their disbandment rumors: very dissapointed atp, it won't happen!

katseye, overall success: seems to be guaranteed, can do very well for a western girl group with k-pop standarts. won't be very, very famous but it will be enough to be popular.

skz hyunjin, shinee taemin bond: VERY much work-related dynamics, and they match really well. outside of work though.. no. just no. not that they won't match, but it just doesn't exist.

i'll-it, success: not as what they've (belift, hybe) expected. small fanbase outside of south korea, local fandom might be a bit bigger, fans from r u next? are still MAD for how hybe rigged everything. i do see water energy girl standing out, possibly wonhee or youngseo, but it can be both girls tbh. just focus them on solo activities pls

i'll-it, concept: very similar to enhypen, seems to focus on empowerment. might be teen crush?

taylor swift, 2024 career: might be merging with her personal and love life. i do see viral moments, breaking record and similar things. i am unsure if she'll release something in 2024, but she has to be prepared as kelce might cheat on taylor. she might learn about the preparations on it in one way or another and she will try to stop him just for the sake of their popularity (individual, as couple, idqk). she might learn to be more aware of what she actually wants in 2024, she seems to be blind about that.

why treasure's hyunsuk is more scandalous these days: he seems to experiment with his vibe, aesthetics and style. he might've wanted to do it for a while. like, he's aware, but he isn't that sorry from what i see. he's just experimentinnnnng

will hyunsuk be more scandalous: i intepret it as no, he doesn't want to be more extreme.

*israel-palestine ^ukraine-russia

** there's no need to read this since this paragraph isn't related to my usual content. although i do not stand with israel's side, my content that's provided here is directed only to divination-related readings and it will stay this way. personally i agree with selena that a post, or even threads on social medias won't change anything and although taking a side might be nice if we are aware of the conflict in question (doesn't matter which), i personally believe only mass protests for indefinite time will make actual impact, unless if they're restricted by more influental people. (that's to sofia's ex-mayor btw :)) my country has problems that are in the dust for the most of its citizens and we don't look through them. how tf we have to be aware of other issues and conflicts when we aren't aware of our owns? that's issue between israel and palestine. my country and people have no place in this. i really try to support palestinians with what i can, but to take a side? i never chose ukraine or russia. i won't choose israel or palestine either. i do hate some of the countries' laws and so on, but i will stay as neutral as i can. these issues aren't bulgaria's. sorry for this ted talk but i felt it's needed. **

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iampikachuhearmeroar · 26 days

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im sorry UTS, but WHAT on fucking earth is "creative intelligence and innovation"????? and why on earth would anyone studying nursing or midwifery need "entrepreneurship and innovation" as a double degree??

#life #about me #shut up ilona #uni #uni life #uts is uni of technology sydney btw #thought i'd have a look today at what courses they offer to see if they got rid of that library course i was going to do back in 2019 #and my GOD. reading the subject outlines for the “creative intelligence and innovation” subjects......#....were literally just vague asf corporate-speak gobble-de-gook for 'system thinking and innovation leaders of tomorrow'#what the fuck does that have to do with nursing or midwifery???#WHY would you add another like 16 to like 20 grand to a nursing degree with this useless ass diploma of corporate brainrot???#like motherfucker. do you really WANT a theranos 2.0 or an elizabeth holmes 2.0???#bc that's what you're opening up the world to with this bs 'creative intelligence and innovation' course....#..... paired with many of the egotistical high school mean girls that apparently go into nursing and other medical field careers...#....and also entrepreneurship.... or at least in my opinion anyway #you can also pair it with science which also to me could lead to sketchy shit tbh

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thediktatortot · 2 months

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Honestly, I love DJO's 'End of Beginning', but 'On and On' is probably my favorite song on the Decide album. It's that feeling and depression and realization that you've been spending too much time ignoring real life and focusing yourself onto this space in the digital world.

It's pretty good at getting that point over too and it's crazy to think that we are the generation who is some of the first ones to really experience this particular phenomena as adults. We can create art from it now that we understand it's effects and how it can harm us.

End of Beginning is a song about understanding when something is over and done, when you can remember it and feel it again at small times in your life, but you can never truly come back to it. It is gone.

Edit: Adding 'Climax' here because to me, this feels like the feeling you get right before you make a change, the emptiness and the disconnect you have with yourself and what you feel you should be seeing.

It's like...you see yourself, but it's not YOU.

#DJO #I just really love song lyrics and meanings #and DJO has skyrocketed to a favorite band #I'm also feeling it #Joe & I are only a year a part #and it feels like a lot of the things he sings about are things I've been experiencing myself at this age #and living in this technological lifestyle #I may not have the career he does but it still feels like it applies to the every day life things

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jamelalatise · 5 months

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#and reflecting on how I made a career with such simple techniques and technology what a blessing #studio #having a space >>>

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jobsopportunity · 2 years

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It is no secret that the tech industry is going through extraordinary growth right now, and this shows no sign of slowing down anytime soon. There have been many incredible advances made in the tech field

#technology Careers #technology Careers in demand #Careers oppertunity in technology #information technology Careers

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superlinguo · 2 years

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Linguistics Jobs: Interview with a Language Engineer

This month’s linguistics jobs interview is with Brent Woo, a Language Engineer for a voice assistant. Brent has an MA from Eastern Michigan University and a PhD in Linguistics from the University of Washington. In this interview, Brent describes how his career provides him with work-life balance and how his linguistics training ties into his work developing technology we use every day, but might not realize requires language data to run smoothly.

You can find Brent online on LinkedIn.

What did you study at university?

Linguistics and more linguistics! I entered undergrad not really knowing what I wanted to do. I took some finance and economics with the vague idea of becoming an accountant, but I didn’t have an interest in the material. I took some political science and cultural studies classes with some interest in “international affairs” but it still wasn’t quite right for me. I took an intro linguistics class and knew immediately this was it. This was the mix between analytical thinking and interesting human issues that I was looking for. I went on to finish BAs in Linguistics and Russian Studies, and then an MA and PhD in Linguistics. What is your job?

Language Engineers work on the language designs for voice assistants. When you say something funny like “let’s raise the roof” and the voice assistant can interpret that to raise its volume to the maximum level, that was likely due to an LE language design. LE look into common variations on requests, understand the failures in human-machine communication, and adjust recognition coverage for them. We work on the scale of millions of utterances a day, so this process also has to be automated to some degree. How does your linguistics training help you in your job?

I’m lucky to be considered a subject matter expert in language, and can usually make compelling arguments for utterance coverage based on language and human arguments alone. A common scenario is product or business stakeholders will request to have utterance X go to feature Y, and an LE will know from their expertise that no sane human customer would utter X to trigger Y. The LE has to present the case why that wouldn’t be a good design, and propose alternatives, and overall help the feature get better language coverage. This involves classic syntax for figuring out sentence structures and variations, and semantics for the annotation schema. Sometimes phonetics comes up when there are speech recognition conflicts or misfires! What was the transition from university to work like for you?

Graduate school was great preparation for moving into this position. I already had experience running quantitative experiments and analyzing the results, managing different stakeholders (advisor, students, lab, external collaborators), and—most importantly—dealing with difficult customers. Two things were new to me at the beginning: having conversations at the business and product level, and the pace of work. I wasn’t familiar how to navigate conversations about project budget and headcount, but I had a good friend as a mentor who helped me out with these early on. The pace of work differs from grad school: work comes and goes with the product release cycles, there are periods of crunch time and periods of relative calm and catch-up. Do you have any advice you wish someone had given to you about linguistics/careers/university? If you’re interested in exploring a non-academic path, talk to linguists in those paths, watch the panels and webinars we’ve run on these topics, ask for mock interviews, and read Superlinguo! You’ll get a sense of what background you need and what projects you should be working on.

Any other thoughts or comments?

The most important thing for me when finding a job after graduate school was to find a work-life balance. While I’m happy and lucky to have an interesting job related to language, I was really thrilled to discover that it was very flexible and I can live a rich life outside of work responsibilities. There were other jobs that may have been a better fit, but were more demanding on my lifestyle or diplomatic capacity (for example, managing people). I have many colleagues at this and other companies who have taken on more intense positions and end up burning out or quitting due to the stress. I find the work-life balance in this position almost ideal and I am very happy.

Related interviews:

Interview with a Natural Language Annotation Lead

Interview with a Software Engineer

Interview with a Data Scientist

Interview with a User Experience (UX) Researcher

Interview with a Computational Linguist

Recent interviews:

Interview with a Data Manager & Digital Archivist

Interview with a Natural Language Annotation Lead

Interview with an EMLS/Linguistics instructor & mother of four

Interview with a Performing Artiste and Freelance Editor

Interview with a Hawaiian and Tahitian language Instructor, Translator & Radio Host

Resources:

The full Linguist Jobs Interview List

The Linguist Jobs tag for the most recent interviews

The Linguistics Jobs slide deck (overview, resources and activities)

The Linguistics Jobs Interview series is edited by Martha Tsutsui Billins. Martha is a linguist whose research focuses on the Ryukyuan language Amami Oshima, specifically honourifics and politeness strategies in the context of language endangerment. Martha runs Field Notes, a podcast about linguistic fieldwork.

#linguistics jobs #linguist jobs #linguistics #careers #language engineer #language tech #language technology #jobs #work #AI #language AI

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jobs76 · 24 days

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We are seeking a virtual assistant to assist with a task immediately! Applicants must have USA email. This is a fantastic opportunity for new freelancers. The task is straightforward and takes only 10 minutes to complete. and you can gate paid. Please submit your proposals; in the inbox

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jcmarchi · 2 months

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Dealing with the limitations of our noisy world

New Post has been published on https://thedigitalinsider.com/dealing-with-the-limitations-of-our-noisy-world/

Dealing with the limitations of our noisy world

Tamara Broderick first set foot on MIT’s campus when she was a high school student, as a participant in the inaugural Women’s Technology Program. The monthlong summer academic experience gives young women a hands-on introduction to engineering and computer science.

What is the probability that she would return to MIT years later, this time as a faculty member?

That’s a question Broderick could probably answer quantitatively using Bayesian inference, a statistical approach to probability that tries to quantify uncertainty by continuously updating one’s assumptions as new data are obtained.

In her lab at MIT, the newly tenured associate professor in the Department of Electrical Engineering and Computer Science (EECS) uses Bayesian inference to quantify uncertainty and measure the robustness of data analysis techniques.

“I’ve always been really interested in understanding not just ‘What do we know from data analysis,’ but ‘How well do we know it?’” says Broderick, who is also a member of the Laboratory for Information and Decision Systems and the Institute for Data, Systems, and Society. “The reality is that we live in a noisy world, and we can’t always get exactly the data that we want. How do we learn from data but at the same time recognize that there are limitations and deal appropriately with them?”

Broadly, her focus is on helping people understand the confines of the statistical tools available to them and, sometimes, working with them to craft better tools for a particular situation.

For instance, her group recently collaborated with oceanographers to develop a machine-learning model that can make more accurate predictions about ocean currents. In another project, she and others worked with degenerative disease specialists on a tool that helps severely motor-impaired individuals utilize a computer’s graphical user interface by manipulating a single switch.

A common thread woven through her work is an emphasis on collaboration.

“Working in data analysis, you get to hang out in everybody’s backyard, so to speak. You really can’t get bored because you can always be learning about some other field and thinking about how we can apply machine learning there,” she says.

Hanging out in many academic “backyards” is especially appealing to Broderick, who struggled even from a young age to narrow down her interests.

A math mindset

Growing up in a suburb of Cleveland, Ohio, Broderick had an interest in math for as long as she can remember. She recalls being fascinated by the idea of what would happen if you kept adding a number to itself, starting with 1+1=2 and then 2+2=4.

“I was maybe 5 years old, so I didn’t know what ‘powers of two’ were or anything like that. I was just really into math,” she says.

Her father recognized her interest in the subject and enrolled her in a Johns Hopkins program called the Center for Talented Youth, which gave Broderick the opportunity to take three-week summer classes on a range of subjects, from astronomy to number theory to computer science.

Later, in high school, she conducted astrophysics research with a postdoc at Case Western University. In the summer of 2002, she spent four weeks at MIT as a member of the first class of the Women’s Technology Program.

She especially enjoyed the freedom offered by the program, and its focus on using intuition and ingenuity to achieve high-level goals. For instance, the cohort was tasked with building a device with LEGOs that they could use to biopsy a grape suspended in Jell-O.

The program showed her how much creativity is involved in engineering and computer science, and piqued her interest in pursuing an academic career.

“But when I got into college at Princeton, I could not decide — math, physics, computer science — they all seemed super-cool. I wanted to do all of it,” she says.

She settled on pursuing an undergraduate math degree but took all the physics and computer science courses she could cram into her schedule.

Digging into data analysis

After receiving a Marshall Scholarship, Broderick spent two years at Cambridge University in the United Kingdom, earning a master of advanced study in mathematics and a master of philosophy in physics.

In the UK, she took a number of statistics and data analysis classes, including her first class on Bayesian data analysis in the field of machine learning.

It was a transformative experience, she recalls.

“During my time in the U.K., I realized that I really like solving real-world problems that matter to people, and Bayesian inference was being used in some of the most important problems out there,” she says.

Back in the U.S., Broderick headed to the University of California at Berkeley, where she joined the lab of Professor Michael I. Jordan as a grad student. She earned a PhD in statistics with a focus on Bayesian data analysis.

She decided to pursue a career in academia and was drawn to MIT by the collaborative nature of the EECS department and by how passionate and friendly her would-be colleagues were.

Her first impressions panned out, and Broderick says she has found a community at MIT that helps her be creative and explore hard, impactful problems with wide-ranging applications.

“I’ve been lucky to work with a really amazing set of students and postdocs in my lab — brilliant and hard-working people whose hearts are in the right place,” she says.

One of her team’s recent projects involves a collaboration with an economist who studies the use of microcredit, or the lending of small amounts of money at very low interest rates, in impoverished areas.

The goal of microcredit programs is to raise people out of poverty. Economists run randomized control trials of villages in a region that receive or don’t receive microcredit. They want to generalize the study results, predicting the expected outcome if one applies microcredit to other villages outside of their study.

But Broderick and her collaborators have found that results of some microcredit studies can be very brittle. Removing one or a few data points from the dataset can completely change the results. One issue is that researchers often use empirical averages, where a few very high or low data points can skew the results.

Using machine learning, she and her collaborators developed a method that can determine how many data points must be dropped to change the substantive conclusion of the study. With their tool, a scientist can see how brittle the results are.

“Sometimes dropping a very small fraction of data can change the major results of a data analysis, and then we might worry how far those conclusions generalize to new scenarios. Are there ways we can flag that for people? That is what we are getting at with this work,” she explains.

At the same time, she is continuing to collaborate with researchers in a range of fields, such as genetics, to understand the pros and cons of different machine-learning techniques and other data analysis tools.

Happy trails

Exploration is what drives Broderick as a researcher, and it also fuels one of her passions outside the lab. She and her husband enjoy collecting patches they earn by hiking all the trails in a park or trail system.

“I think my hobby really combines my interests of being outdoors and spreadsheets,” she says. “With these hiking patches, you have to explore everything and then you see areas you wouldn’t normally see. It is adventurous, in that way.”

They’ve discovered some amazing hikes they would never have known about, but also embarked on more than a few “total disaster hikes,” she says. But each hike, whether a hidden gem or an overgrown mess, offers its own rewards.

And just like in her research, curiosity, open-mindedness, and a passion for problem-solving have never led her astray.

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