#Where can I study software development?

[tangentiallly]

One way to spot patterns is to show AI models millions of labelled examples. This method requires humans to painstakingly label all this data so they can be analysed by computers. Without them, the algorithms that underpin self-driving cars or facial recognition remain blind. They cannot learn patterns.

The algorithms built in this way now augment or stand in for human judgement in areas as varied as medicine, criminal justice, social welfare and mortgage and loan decisions. Generative AI, the latest iteration of AI software, can create words, code and images. This has transformed them into creative assistants, helping teachers, financial advisers, lawyers, artists and programmers to co-create original works.

To build AI, Silicon Valley’s most illustrious companies are fighting over the limited talent of computer scientists in their backyard, paying hundreds of thousands of dollars to a newly minted Ph.D. But to train and deploy them using real-world data, these same companies have turned to the likes of Sama, and their veritable armies of low-wage workers with basic digital literacy, but no stable employment.

Sama isn’t the only service of its kind globally. Start-ups such as Scale AI, Appen, Hive Micro, iMerit and Mighty AI (now owned by Uber), and more traditional IT companies such as Accenture and Wipro are all part of this growing industry estimated to be worth $17bn by 2030.

Because of the sheer volume of data that AI companies need to be labelled, most start-ups outsource their services to lower-income countries where hundreds of workers like Ian and Benja are paid to sift and interpret data that trains AI systems.

Displaced Syrian doctors train medical software that helps diagnose prostate cancer in Britain. Out-of-work college graduates in recession-hit Venezuela categorize fashion products for e-commerce sites. Impoverished women in Kolkata’s Metiabruz, a poor Muslim neighbourhood, have labelled voice clips for Amazon’s Echo speaker. Their work couches a badly kept secret about so-called artificial intelligence systems – that the technology does not ‘learn’ independently, and it needs humans, millions of them, to power it. Data workers are the invaluable human links in the global AI supply chain.

This workforce is largely fragmented, and made up of the most precarious workers in society: disadvantaged youth, women with dependents, minorities, migrants and refugees. The stated goal of AI companies and the outsourcers they work with is to include these communities in the digital revolution, giving them stable and ethical employment despite their precarity. Yet, as I came to discover, data workers are as precarious as factory workers, their labour is largely ghost work and they remain an undervalued bedrock of the AI industry.

As this community emerges from the shadows, journalists and academics are beginning to understand how these globally dispersed workers impact our daily lives: the wildly popular content generated by AI chatbots like ChatGPT, the content we scroll through on TikTok, Instagram and YouTube, the items we browse when shopping online, the vehicles we drive, even the food we eat, it’s all sorted, labelled and categorized with the help of data workers.

Milagros Miceli, an Argentinian researcher based in Berlin, studies the ethnography of data work in the developing world. When she started out, she couldn’t find anything about the lived experience of AI labourers, nothing about who these people actually were and what their work was like. ‘As a sociologist, I felt it was a big gap,’ she says. ‘There are few who are putting a face to those people: who are they and how do they do their jobs, what do their work practices involve? And what are the labour conditions that they are subject to?’

Miceli was right – it was hard to find a company that would allow me access to its data labourers with minimal interference. Secrecy is often written into their contracts in the form of non-disclosure agreements that forbid direct contact with clients and public disclosure of clients’ names. This is usually imposed by clients rather than the outsourcing companies. For instance, Facebook-owner Meta, who is a client of Sama, asks workers to sign a non-disclosure agreement. Often, workers may not even know who their client is, what type of algorithmic system they are working on, or what their counterparts in other parts of the world are paid for the same job.

The arrangements of a company like Sama – low wages, secrecy, extraction of labour from vulnerable communities – is veered towards inequality. After all, this is ultimately affordable labour. Providing employment to minorities and slum youth may be empowering and uplifting to a point, but these workers are also comparatively inexpensive, with almost no relative bargaining power, leverage or resources to rebel.

Even the objective of data-labelling work felt extractive: it trains AI systems, which will eventually replace the very humans doing the training. But of the dozens of workers I spoke to over the course of two years, not one was aware of the implications of training their replacements, that they were being paid to hasten their own obsolescence.

— Madhumita Murgia, Code Dependent: Living in the Shadow of AI

[linkons-most-wanted]

In a far better world, what do you think Sylus would major in, business or computer/mechanical engineering (STEM guy Sylus is 😘) or just do a double/triple major being his effortlessly overachieving self?

Ooh, great question! It'd have to be a far better world than this one because low key I do not think Sylus buys into academia 😂

You mean I have to fill out a paper to prove to the professor that I actually read the book, which I am reading of my own volition because I want to learn things? And I have to format my citations with italics and underlines and semicolons why? Excuse me? I have better things to do.

And he would be bored out of his miiiiiiiind in any lecture that wasn't going fast enough. He'd probably read ahead in the textbook, quiz himself on the practice problems, get them all correct, and then stop showing up to that class because he's already learned it all and why bother checking the box for someone else's approval. 😂

In my HS AU I had him basically skip college and just start a business and earn a young entrepreneur award because Sylus is not going to spend a damn minute working for someone else if he can be his own boss.

BUT. All that aside. Imagining a world where academia was actually 100% focused on learning, I def think he'd want to take a really eclectic mix of classes. STEM would come infuriatingly easy to him, which is why you'd find him studying most diligently in Literature or History or something else unexpected. The Business professors would probably hate him for barely showing up to class but acing every project and assignment 'cause he's out there doing side hustles and talking to business leaders and generally developing his intuition.

I think Mech E is spot on, though, he's a tinkerer! I think he'd prefer that to pure software eng. (Mech E's still do a good bit of automation programming and the hands-on aspect is really appealing.) And, speaking from personal experience, the way to do it is to go after the Eng degree and splash in the elective business/culture classes that most interest you because it doesn't really work the other way around.

Not that anything could stop Sylus from just showing up to classes he wasn't enrolled in because he thought they sounded interesting 😂 Imagine the confusion of a professor hitting midterms and realizing that their favorite student isn't even enrolled in their class.

I could also totally see him taking art classes and being pretty bad at it (cough like his singing cough) but absolutely giving it his all and having a good time and being a favorite of the teachers because he's just so locked in because he finds it challenging.

And then after four years the dean would be like "Okay, so, you technically haven't taken the right mix of classes for us to grant you a major in any one thing... but also you're one of our most excellent students... so um... idk we'll make an exception."

Or he drops out right before graduation (making all his professors FURIOUS) to go found a startup that ends up taking the world by storm 🤷‍♀️

[skysometric]

Skysometric Design Retrospective, Part 1

Where It All Started

somehow, after a decade on the internet, i've become one of those people who has a whole Personal Brand���. at first i leaned into it on purpose, partly because i wanted to make videos as my shtick (until i didn't), and partly because i didn't really know how else to express myself on the internet early on. these days, however, keeping up a personal brand is less about Who I Am and more that i just enjoy graphic design. making this stuff is fun!

so over the past few years since coming out and rebranding as Skysometric, i've put a lot of work into a new logo, website design, icons, video thumbnails, and even more besides. i'm pretty proud of how it all turned out! and now that most of the heavy lifting is done, i'd like to write about how it went and some things i've learned along the way. there's a lot to talk about, so strap in for a pretty long series!

but, to start, i can't talk about Skysometric without a quick history lesson about WillWare, the old me – the one who got the ball rolling on graphic design in the first place.

———

maybe this is obvious to the trained eye (or maybe not!), but i'm an entirely self-taught graphic designer. i've never taken any classes, studied design styles, learned the fundamentals, or even so much as had a single course teaching me how Photoshop works. (not that i use Adobe anymore, but you get my point!)

instead, everything i know, i learned by doing. i learned how image editing software works by making tiles and backgrounds for Mari0 levels. my fundamentals are deeply rooted in drawing mazes as a kid, so i quickly discovered how to set up grids in every image editor i got my hands on. i picked up other design techniques by attempting to imitate their logos or styles for personal projects over the years.

on the one hand, this means that i've developed a style and workflow that is wholly and uniquely my own! on the other hand, anytime i get stuck, i don't always have the tools to get un-stuck... or even the words to google it.

so instead of googling it, i used the tools i had to make all of this:

rest in peace, WillWare (the brand). clockwise from top left: logo, social media banner, video end slate, stream archive thumbnail.

what started as just a fancy logo to replace my old Sonic profile picture, snowballed into an entire branding suite across web and video! i learned a lot about graphic design as i gradually expanded these designs into my other creative pursuits. you can see so much of that self-taught style i described above in these few examples – geometric grids and graph paper, simple shapes and layers like my Mari0 work... and imitation of Google's Material Design guidelines, like drop shadows and color choices.

in fact, i leaned so hard on Material Design that, after some time, it no longer felt like my own style. anytime i wanted to branch out, i felt constrained by somebody else's design standards! so i challenged myself to find my own design style from scratch, which I called "New WillWare":

this neon light grid is still pretty dang inspired, but it's not "me" anymore.

it took a couple years of slow iteration to arrive at this neon-looking "light grid," and while it rocks, it also painted me into a corner. i had no idea how to make anything more than pretty promotional pictures in this style – i couldn't figure out how to make it work with video, webpages, or even just text, no matter how much i tried to go back to the drawing board. and my lack of formal experience made it that much more difficult to solve these problems!

so after a while, i felt pretty stuck. my old design didn't feel like my own, my new design was a dead end, and i felt like i was too invested in both to start completely from scratch again. i was simultaneously too burnt out to continue, and too scared to throw everything out and start fresh!

and then i transitioned, and started calling myself Sky.

in case you missed the *cough* subtle indicators, both of my old designs are centered around the letter W (being part of my old username and all). "Sky" does not have a W. so, uh, none of this fits anymore! even though i love this old work, and still consider it part of my history, it no longer accurately represents me or my identity. ready or not, it's time to design something new!

on one side, i felt pressure to get away from my old look, the product of a younger designer whose efforts were still the standard for my online presence. on the other side, i felt pressure to rise from the ashes of my redesign, make something of all the failures, successes, and lessons that i learned.

and thus, shedding my old brand identity and donning my new gender identity, i hit the sketchbook running.

to be continued...

[twosides--samecoin]

hey! i appreciate you offering me some advice!

i’m workin on my first ever fic (and creative writing for that matter lmao) and i keep running into the same issue

i’m really struggling to come up with plot/story. if i have like key moments or anything i have no issue writing it. i have a few pivotal moments that i want to happen but filling in the moments between them is super hard for me. is there any way to get over this?

Most people have a few key scenes they want to see when they think of writing a story, and it's normal not to know how to link them together. My longfic was my first try at creative fiction. Here's some of the thought process behind how I took my fic from an idea to a story arc!

Planning a story arc is about developing the journey. How did your main character get from Point A to B?

There's so much that goes into this answer, so here's a table of contents for this post:

Writer mental health: Or, How I Learned to Stop Worrying and Love the Process

Planning Documents

Question Everything

Study [Part 1] Themes & Motivation

Study [Part 2] The Source Material & Your Inspirations

Study [Part 3] Storycraft

Sidequest: Questions, themes, motivation & storycraft for a story about nothing

🧠Writer mental health: Or, How I Learned to Stop Worrying and Love the Process: I've written a post or two about perfectionism and writer mental health. Stories are sort of like plants; writers are like gardeners. No plant or story is fully formed from the jump. If your idea is a plant, then it grows from a seed. If a writer is a gardener, then they're tending a plant that grows over time. Allow yourself to make changes. Be willing to draft the story, edit, then sleep on it for a day or two and edit again before you post it online. You can always press the edit button after publication. I'm starting with this because the sooner you develop a growth mindset, the more likely you will avoid common writer mental health pratfalls. Treat writing like an oil painting in a museum: it began from a sketch and wasn't done all in one go. This point might not feel relevant until you have a bad day as a writer.

📝Planning documents: Take notes on anything and everything. Most writing software will have an outline/table of contents feature to help you organize. One document could be character notes, another might be a timeline of events. One could be scene ideas. Don't feel pressured to explain yourself too much. Treat these documents as scrap paper where you can write down quick ideas and move on; use a bullet point format. As my fic grew, my documents and the contents changed. Mine are now quite messy, and I don't feel the need to use them every chapter. I've outgrown them to a degree, but I still have them for my own reference.

I encourage you to avoid deleting large sections, even if you retcon an idea. Instead, move them to a cutting room floor document. You never know what you're going to need, and though it's in your head right now, you never know what you might forget.

❓Question Everything: While you know who your characters and what some big pivotal scenes are, you need to ask Who, What, When, Where, Why & How about these people and events. If you're from an analytical background such as law or journalism, you were trained to think this way when you learned issue spotting.

Asking these questions about the pivotal scenes and characters will spawn further questions you need to answer, which will then help you figure out what to write in-between the big scenes. If your pivotal scene is a fight between the Hero and a Big Bad, or the Love Interest proposing to the main character, you should ask questions about how the characters got there. What is the conflict between the Hero and the Big Bad? How did the MC and Love Interest meet? What challenges did they have along the way?

The genesis of my fic began with these questions. I thought:

"[What] would I do to fix the canon Fallout 4 [Who] RJ MacCready story?" I was then granted a vision of RJ hiking in the snowy mountains of [Where] Banff National Park. The [Why] was "Med-Tek didn't work out". That partly answered the [When] (North America in the post-apocalypse, over two hundred years since the bombs dropped; at the end of RJ's canon story). [How] did they figure out he needs to go to Banff?

After this idea took hold of my brain, I kept asking questions. As I answered them, I kept notes.

[What] happened at Med-Tek? [How] does RJ get from Boston to Banff? If this fic begins at the end of his canon story, [Who] is the Sole Survivor who helped him through it? [Where] are the key locations in Banff RJ should go and [Why]?

Some questions are more pertinent to explain than others. For example, travel was a big question I had to solve given my story is set in a post-apocalyptic version of our world. Distance travel- unless you're a caravan or the Brotherhood of Steel- is a luxury for your average Wastelander. So I looked up the closest real world equivalent to a vertibird (a tiltrotor aircraft such as the Bell-Boeing V-22 Osprey), spent time researching forums and roughly figured out how much fuel and how many stops a vertibird would need between Boston and Banff.

Another writer in the Fallout fandom might not find that pertinent or put in the same research. I value being able to point at something and say, "Oh, I figured that out" to help me better inform my writing.

📗Study [Part 1] Themes & Motivation: Ok, so you're thinking about how the Hero got involved with the Big Bad and the conflict between them; you started with the proposal and marriage between your MC and Love Interest and are now thinking of how they met and how their families react to their partnership.

What are your character's goals and objectives?

What is their background? What makes them think or feel a certain way? Keep in mind that people are complex. A traumatized person isn't always "acting" traumatized to the other characters or the audience.

What are some activities you've observed in real life relationships?

What do your characters like to do when they aren't working?

Who are your characters outside of the events of the story? Who are they before the story? Who are they after? If the story events didn't happen, who would they be instead?

What does one character observe in a room that another will not notice? If one character turns their nose up at a concept or idea, why or why not?

How does your character react under pressure?

What classic literary tropes apply to your character/story? Can you mix and match, or subvert a classic trope?

A love story is rarely ever just a love story. A superhero movie is rarely ever just about superpowers and fighting. What themes, concepts or ideas do you want to explore? Do you have any intellectual curiosities or side hobbies you want to bring to your writing? I really love studying philosophy and enjoy hiking. I am a big fan of works that examine the relationships humans have with nature and each other, as well as the nature of power. These are two things that make my fanfiction different: my characters react to their environments. They observe differences between Banff/Boston and remark upon what happened to Earth when the bombs fell. One of the best compliments I ever had on my fic was from a reader from Alaska who saw their childhood home reflected in Banff's boreal forest; who almost felt as though they could smell the environment by reading the story. My wife @edaworks is a multihyphenate and autodidact- statistician, sociologist, attorney, hobby archaeologist and cosplayer among many other things. In her fic, she brings completely different ideas to Fallout than I do.

📙Study [Part 2] The Source Material & Your Inspirations:

If you struggle to think of ideas relating to the central conflict, you can always return to the source material.

Are there details you notice that you have questions about?

Is there a character interaction that intrigues you?

Is there something you feel the original creator didn't explain? (For me, I wanted to figure out how resource-intensive travel like flight is possible in Fallout.)

Outside of the original text, think about works by other people that inspire you to make your own work. What intrigues you about what they do? How does your fave author or director handle the moments in between the pivotal scenes?

What literature outside of fanfiction do you enjoy? (Some of my fave books are House of Leaves, Infinite Jest, Walden, Le Petit Prince, The Catcher in the Rye, The Road, Ulysses, Blood Meridian and The Lord of the Rings.)

Do you enjoy comedy? Do you have a particular sense of humour because your parents raised you on Laugh-In and Richard Pryor? How can you infuse your story with jokes?

What movies or TV shows had an impact on you as a kid? Quentin Tarantino's Kill Bill is a love letter to the stories he was inspired by. In turn, Kill Bill inspired my own story. I'm also influenced by stories about courageous kids navigating a corrupt adult world as well as industrialization vs nature, such as in Laputa: Castle in the Sky, Akira, Princess Mononoke. A lot of what I like is hyperdetailed in some way, be it via dense themes, immaculate cinematography or intricate set design.

What music do you listen do? Are there musicians who explore themes that resonate with the story you're writing?

📚 Study [Part 3] Storycraft: Learn about story structures and basic plot types to help you figure out how to build the overall story arc. Get to know your genre.

Note that you're not required to choose a story structure/plot type/genre. Approach to story delivery depends on cultural tradition, genre and the means with which the story is told. An awareness of them will help you understand how you can build your story.

A radio play, college graduation speech and a bedtime story are all part of the oral tradition. Despite being different stories intended for different audiences, all three could be told with a variety of story structures, or the same one. This chart from r/screenplay compares different approaches to story structure. There's even an entry for the Scientific Method.

If your story falls somewhere in the action/adventure genre, a story structure that might help is Joseph Campbell's monomyth; a three-act structure that watches a hero move from a known to unknown world and back again. Published in 1949, The Hero with a Thousand Faces posited that many heroic works can be boiled down to a similar story structure. You might know it as The Hero's Journey. A good movie for examining The Hero's Journey is Hercules (1997).

(The above image is from Bookfox. <- The linked page has similar graphics & explanations for other structures.)

After acquainting ourselves with the Ordinary World of Ancient Greece and Hades' meddling, Weirdo Freak Whom Do Be Too Strong Hercules visits the Temple of Zeus, who tells Herc he can earn his godhood- the Call Of Adventure. Hercules now wants to go the distance and find where he belongs. Zeus sends him to Meet The Mentor, Phil. After a training montage, Hercules and Phil go to Thebes and cross The First Threshold into the Unknown World. Herc wants something, encounters trials & a massive ordeal, then returns to the Known World a changed man.

Let's say one of your pivotal scenes is a huge fight between the Hero and the Big Bad. You could place that almost anywhere on the right side of the wheel. The Call to Adventure could be the first fight. The fights and conflict could get worse until a major fight happens at The Ordeal. Whatever you do, the audience needs to see the pivotal scene contextualized in some way. Whether you begin the story with a fight or are leading up to one, we want to see why it happened. You want to lay the groundwork and context for the pivotal events.

The pivotal events don't mean anything without context to support them, and the audience will not root for your characters if we don't see them struggle and/or aren't given reasons to care or get to know them.

Keep in mind it's not all about drama. Ideally, The Hero's Journey helps an author deliver layers of information that ranges from telling us about the characters' journey/everyday lives to showing the audience details that leads toward the central conflict. Maybe your characters are having a casual lunch and they see people running and screaming down the street. It's out of context in the moment, but it tells the audience, "Something's going on in this story that isn't right". Setup, payoff: the audience learns the reason why things aren't right when you contextualize them through supporting evidence.

These videos [1] [2] by Extra Credits explain the monomyth through an analysis of the video game Journey.

"But Tumblr User twosides--samecoin," you ask, "I'm not writing a heroic journey. What if I want to write a story about people just hanging out?"

👕Sidequest: Questions, themes, motivation & storycraft for a story about nothing

While your Hero doesn't need to slay monsters, some degree of conflict is necessary in most stories. Even the slicest of stories in the slice of life genre like Lucky Star have at least an episode or arc that has some problem to solve.

Seinfeld is known as being "a show about nothing", except that's not quite true. It's a slice of life comedy series that explores the misadventures of a friend group. Many episodes are predicated on telling a certain joke, gag, or are about seeing how the characters act in absurd situations. It's never about nothing. When the show was pitched to NBC, Seinfeld said: "We want to show how a comedian gets his material". The show is about mundane/everyday situations and turning people's worst tendencies into comedy gold.

Example: Seinfeld, season 5 episode 2: The Puffy Shirt

Who: is Jerry Seinfeld? Jerry is the titular character and a comedian. Also-ran are Elaine and George, as well as Kraemer and his new girlfriend, Leslie.

What: the fuck is that garment? The puffy shirt in question is considered a MacGuffin.

When/Where: Early/mid 90's NYC. Jerry's apartment, a photo studio, a restaurant, The Today Show.

Why: It's funny to see a grown-ass man act a fool about a bad fashion choice because of a miscommunication. He has to go on The Today Show and the host mocks the shirt, leading Jerry to snap about it, which then offends Leslie.

How: Jerry mishears Leslie, who has a very quiet speaking voice. In an effort to be polite, he accidentally agrees to wear the puffy shirt on The Today Show while pretending to understand her.

Themes: Miscommunication, humiliation, consequences arising from false politeness, awkward situations

Motivation: Jerry was motivated to be nice in an effort to accommodate Leslie's low talking volume in order to move the conversation along. He didn't realize he was agreeing to something he didn't want to do. This episode is not just about the humiliation Jerry suffers in the A plot- there are also B and C plots containing their own jokes that add to the tension of the episode, which all fall apart when Jerry snaps. Several plots and character arcs create pacing that feels like a boiling pot by the end of the episode: It's layers of mini jokes that support the main joke, which doesn't get a full punchline until the end. It's still one of the funniest 30 minutes of television ever produced, over three decades later.

Hope something in this ramble helps! Thanks for the ask, @publikoccurrences :)

All of my consultation, beta editing and screenshot commissions are free, but if you find what I share helpful: Consider reblogging, buying me a Ko-Fi, or check out my writing on AO3! You can send me an ask about any writing topic and I'll be glad to answer.

[urlknight]

Hi there, Love your work! I'm also doing stuff in Unreal and it feels like it's rarer to find other indie devs using it. I love how clean all your UI feels, and UI is something I seem to really struggle with.

Do you have any recommendations for workflows / tips / sources etc for getting better at UI?

Also I'd love to know more about the material / shader workflow for your latest post if you have more information anywhere.

Thanks :)

Hello there! Thank you!! I hope you don't mind me answering publicly as I feel like some people might be interested in the answer!

I really appreciate your UI (User Interface for those not knowing the acronym) compliment as it's something I've spent a long time working on and specializing in, in my career as a software engineer. UI/UX often goes completely unacknowledged or taken for granted even though it takes a lot of time and hard work to create and develop. In the engineering world I frequently had to advocate for and explain user experiences to those who didn't have as deep of an appreciation for UI or a very sophisticated understanding of why a good, visually appealing user experience makes, or on the flip side, can break everything. I think it's a very challenging, overwhelming topic to grasp and communicate, but just by being interested in it you're already way ahead!

There's a lot going on with UI. From visuals to knowing common design elements to successfully conveying a story to the user to implementation to testing to designing for accessibility to animation and I probably didn't cover everything with that run-on sentence. There's frontend engineers out there whose role is solely to maintain and improve UI component libraries for companies. And that's without throwing games, whose UIs are all uniquely visually tailored to their experiences, into the mix... I could keep going on about this honestly, but I'll get to what I think you can do personally! 1. Learn about common design patterns. What's a toast? What's pagination? What's a card? Little things like that. These apply to all software UI/UX, including video games- and knowing these off the top of your head will make it so much easier for you to invent your own UI designs and patterns.

2. Study the UI in the everyday applications you interact with. Step through menus and think about how you got from point A to point B. Take a moment to think about the why someone put a button where they did. Study the UI in your favorite video games, too! Take a lot of notes on what you think works really well and what you think doesn't. And also there's online resources that are great for inspiration. I personally spend a lot of time on the Game UI Database. - https://dribbble.com/ - https://www.gameuidatabase.com/ 3. Don't be afraid to start with basic sketches or even just simply representing everything with grey boxes. All my UI starts out as really crappy sketches on paper, or tablet sketches on top of screenshots. Visualize your ideas and then keep iterating on them until you've got something. For example, I went from this:

To this. (And come to think of it I might actually still want to make those cooler looking buttons in my sketch) 4. Break everything out into pieces and individual components. A good UI is made up of building blocks that you can reuse all over the place. That's how it stays consistent and also saves you a lot of stress when you need to go in and update components. Instead of a million different looking UI pieces, you just have to update the one! These individual components will make up your very own UI Component Library, which will be the standardized design system and source of reusable components for your project. This also applies to your visual elements that don't do anything (like I personally have a whole mini library of diamond and star shapes that I reuse everywhere).

For reference, here's a breakdown I made of my Inventory UI. On the right, I've labeled most of the individual components, and you might be able to see how I'm reusing them over and over again in multiple places.

5. Spend some time listening to designers talk, maybe befriend some designers! Many of them have an unique, interesting view of the world and how we interact with it even beyond just software. Their perspectives will inform yours.

6. Test your UI on users whenever you can. Get feedback from others. This is the best way for you to see what works and what doesn't. As game devs we spend so much time with our games it's easy for us to lose sight of the full picture.

7. Be patient and don't give up. Continue to be open to expanding your knowledge. These UI skills take time to develop. I personally am still learning even after like 10 years of doing it. Coming up with the visual elements is very challenging for me and I spend a lot of time rearranging things in photoshop before I actually start coding anything at all in Unreal.

Whew, that was a lot, but I hope that gives you some thoughts and a place to start!

I don't have any posts out there about Blender/Unreal shader workflows right now, but I'll consider making another post sometime soonish. I appreciate you asking and you're welcome! :)

[sciderman]

I swear I have read your big post regarding Peter Parker's neurodivergence and why it is best to avoid labelling him, but he definitely has a weird brain

Can't find it and feel kinda sad about it cuz I deeply related to it

i know exactly which post you're talking about and i can't find it either! i've raked through my archive, and it's just - nowhere to be seen. i think tumblr eated it (it happens.)

really, tumblr's search functionality is so so useless, i don't know what to tell you. there are plenty of keywords i can search to find it that post, but the search functionality actually just does not work!

undiagnosed audhd-addled peter parker, my darling, my light, my life, my everything.

i think peter parker's such an interesting creature to write, because a lot of people will point to a certain behaviour about him and say "this is an autistic thing, right?" but a lot of those behaviours are actually, in my head, tied to certain traumas in peter's life too.

people say "oh, the food thing, peter's a picky eater because he's autistic" and yes, absolutely. but also it's tied to his trauma with his parents.

peter gets overstimulated, and yes, it's an autism thing, but also he was bitten by a radioactive spider and his senses are dialled to 11.

it's a similar case i've found for myself, too – where a lot of friends i have kind of diagnose me because i have autistic traits, but actually - i'm hesitant to claim the label or pursue diagnosis because, actually, i know where these certain behaviours come from, and they come from certain traumas. there are events i can pinpoint in my life and say "yep. that's where this behaviour comes from."

so - i think there's a lot of overlap between trauma and autistic traits. the brain is very complex! i think the reason for that overlap is maybe as simple as the fact that people with autism and people with trauma are both doing the same thing - developing behaviours to protect themselves or soothe themselves. so - i think it's nice to be able to see a character like peter parker, who may or may not be autistic, but recognise behaviours in him and see yourself in him.

people who go undiagnosed for whatever reason - people who are really good at masking - so good, in fact, that they have no idea they might be on the spectrum - everyone and anyone at all can look at peter parker and recognise themselves. because i think we discredit the thought that every single brain does the same thing! develops certain behaviours in order to survive. every brain has that same software - we've just all been faced with different hardships that we need to overcome, and that's were all the differences come in.

autism is a spectrum, i guess - everyone falls into it to some degree. and i think events in your life probably push you along on it. but i don't know, i didn't study brain science. probably what i'm saying is very stupid and uninformed. of course there's brain chemistry involved. but i know people in my life living with autism and certain events in their life have exacerbated certain behaviours or made coping with it a lot more difficult. so maybe trauma is a catalyst.

[berry-s0da]

AI “art”

Yesterday I argued with an idiot that thought giving directives to an AI makes you as much of an artist as someone that is actually capable of creating art. It’s extremely worrying that our youth is so incapable of understanding this topic, too self absorbed on their own rigid conception of reality and utterly detached from the real world and the importance of the people you share it with, of consequences, of tangibility. They don’t know how to define art, such a core concept for our species, they are unaware that it’s an exclusively human practice a machine cannot produce by itself or for them.

Some of Oxford Language Learner's Dictionary definitions if you want tangible sources for something that has existed for longer than any piece of technology;

Definition of an Artist: a person who creates works of art, especially paintings or drawings.

3 definitions of Art:

1) the use of the imagination to express ideas or feelings, particularly in painting, drawing or sculpture.

2) the skill of creating objects such as paintings and drawings, especially when you study it.

3) an ability or a skill that you can develop with training and practice.

(defining a piece through words could turn into literature, writing is an outlet for creativity and imagination too, the problem is that they want to claim a graphic piece they had no part on as their creation…which makes no sense for obvious reasons. This might blow your mind but you actually have to be involved in the making of a piece in order for it to be an artist. Writing a brief description of what you want the AI to make for you is not a form of creation, it’s a directive for a machine to do what you can’t)

If you don’t have mental resources, talent, skills, capacity of handling different tools, mediums and techniques then you are not an artist (and that’s okay), but you could be if you tried. Writing a prompt is not making art, everyone with enough mental capacity can come up with a concept for a piece, people that commission artists do that and that doesn’t automatically make them artists.

An AI won’t do shit the way you request it even if you say it does. An AI makes an interpretation of the request but asides from mild guidance, you have absolutely nothing to do with the process or the final “piece” (Frankenstein monster of already existing pieces, taken with or without consent).

An AI without regulation isn’t a new medium or something comparable to the fucking Industrial Revolutionjust, specially considering it isn’t a new, easier way to do the same task (like with an art software). It’s but a shameless way of reusing or straight up stealing pieces produced by the same artists you deem to be now useless and outdated. What you call the future is nothing but plagiarism, the usage of things that already existed in a much higher quality, a wonky replica that is only valued because it’s free for your cheap ass.

“Good artists have nothing to worry about, only shitty artists will disappear” im sorry you have to find out this way but every good artist had to be shit first. We reached a point where we are unaware of periods of time any artist needs in order to grow and develop. This logic is baffling because if only good artists are worth of being respected and having stable jobs then we’ll eventually run out of artists, which is not only silly but impossible. This is but an excuse to avoid the obvious issue that represents stepping over people and making it seem as a fair, natural process.

Finally, If you wanna draw, learn to draw first, nobody stops you but yourself. If you wanna paint learn to paint, if you wanna sculpt, learn to sculpt, if you wanna be an artist then get your ass to work. Not everything is laid out for you in life, you actually have to put work into something, as shocking as it sounds. There are people that draw masterpieces holding pencils on their mouths, you have no excuse other than self pity for being useless, being jealous of those that can actually make things and, ultimately, the unreserved, unapologetic disinterest in those affected by this monster y’all wanna have fun with.

[mariacallous]

On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously worked at Google and AWS, sits back to watch.

“This one is running some tests, that one is coming up with a plan. I am now coding on four different projects at once, although really I’m just burning tokens,” Yegge says, referring to the cost of generating chunks of text with a large language model (LLM).

Learning to code has long been seen as the ticket to a lucrative, secure career in tech. Now, the release of advanced coding models from firms like OpenAI, Anthropic, and Google threatens to upend that notion entirely. X and Bluesky are brimming with talk of companies downsizing their developer teams—or even eliminating them altogether.

When ChatGPT debuted in late 2022, AI models were capable of autocompleting small portions of code—a helpful, if modest step forward that served to speed up software development. As models advanced and gained “agentic” skills that allow them to use software programs, manipulate files, and access online services, engineers and non-engineers alike started using the tools to build entire apps and websites. Andrej Karpathy, a prominent AI researcher, coined the term “vibe coding” in February, to describe the process of developing software by prompting an AI model with text.

The rapid progress has led to speculation—and even panic—among developers, who fear that most development work could soon be automated away, in what would amount to a job apocalypse for engineers.

“We are not far from a world—I think we’ll be there in three to six months—where AI is writing 90 percent of the code,” Dario Amodei, CEO of Anthropic, said at a Council on Foreign Relations event in March. “And then in 12 months, we may be in a world where AI is writing essentially all of the code,” he added.

But many experts warn that even the best models have a way to go before they can reliably automate a lot of coding work. While future advancements might unleash AI that can code just as well as a human, until then relying too much on AI could result in a glut of buggy and hackable code, as well as a shortage of developers with the knowledge and skills needed to write good software.

David Autor, an economist at MIT who studies how AI affects employment, says it’s possible that software development work will be automated—similar to how transcription and translation jobs are quickly being replaced by AI. He notes, however, that advanced software engineering is much more complex and will be harder to automate than routine coding.

Autor adds that the picture may be complicated by the “elasticity” of demand for software engineering—the extent to which the market might accommodate additional engineering jobs.

“If demand for software were like demand for colonoscopies, no improvement in speed or reduction in costs would create a mad rush for the proctologist's office,” Autor says. “But if demand for software is like demand for taxi services, then we may see an Uber effect on coding: more people writing more code at lower prices, and lower wages.”

Yegge’s experience shows that perspectives are evolving. A prolific blogger as well as coder, Yegge was previously doubtful that AI would help produce much code. Today, he has been vibe-pilled, writing a book called Vibe Coding with another experienced developer, Gene Kim, that lays out the potential and the pitfalls of the approach. Yegge became convinced that AI would revolutionize software development last December, and he has led a push to develop AI coding tools at his company, Sourcegraph.

“This is how all programming will be conducted by the end of this year,” Yegge predicts. “And if you're not doing it, you're just walking in a race.”

The Vibe-Coding Divide

Today, coding message boards are full of examples of mobile apps, commercial websites, and even multiplayer games all apparently vibe-coded into being. Experienced coders, like Yegge, can give AI tools instructions and then watch AI bring complex ideas to life.

Several AI-coding startups, including Cursor and Windsurf have ridden a wave of interest in the approach. (OpenAI is widely rumored to be in talks to acquire Windsurf).

At the same time, the obvious limitations of generative AI, including the way models confabulate and become confused, has led many seasoned programmers to see AI-assisted coding—and especially gung-ho, no-hands vibe coding—as a potentially dangerous new fad.

Martin Casado, a computer scientist and general partner at Andreessen Horowitz who sits on the board of Cursor, says the idea that AI will replace human coders is overstated. “AI is great at doing dazzling things, but not good at doing specific things,” he said.

Still, Casado has been stunned by the pace of recent progress. “I had no idea it would get this good this quick,” he says. “This is the most dramatic shift in the art of computer science since assembly was supplanted by higher-level languages.”

Ken Thompson, vice president of engineering at Anaconda, a company that provides open source code for software development, says AI adoption tends to follow a generational divide, with younger developers diving in and older ones showing more caution. For all the hype, he says many developers still do not trust AI tools because their output is unpredictable, and will vary from one day to the next, even when given the same prompt. “The nondeterministic nature of AI is too risky, too dangerous,” he explains.

Both Casado and Thompson see the vibe-coding shift as less about replacement than abstraction, mimicking the way that new languages like Python build on top of lower-level languages like C, making it easier and faster to write code. New languages have typically broadened the appeal of programming and increased the number of practitioners. AI could similarly increase the number of people capable of producing working code.

Bad Vibes

Paradoxically, the vibe-coding boom suggests that a solid grasp of coding remains as important as ever. Those dabbling in the field often report running into problems, including introducing unforeseen security issues, creating features that only simulate real functionality, accidentally running up high bills using AI tools, and ending up with broken code and no idea how to fix it.

“AI [tools] will do everything for you—including fuck up,” Yegge says. “You need to watch them carefully, like toddlers.”

The fact that AI can produce results that range from remarkably impressive to shockingly problematic may explain why developers seem so divided about the technology. WIRED surveyed programmers in March to ask how they felt about AI coding, and found that the proportion who were enthusiastic about AI tools (36 percent) was mirrored by the portion who felt skeptical (38 percent).

“Undoubtedly AI will change the way code is produced,” says Daniel Jackson, a computer scientist at MIT who is currently exploring how to integrate AI into large-scale software development. “But it wouldn't surprise me if we were in for disappointment—that the hype will pass.”

Jackson cautions that AI models are fundamentally different from the compilers that turn code written in a high-level language into a lower-level language that is more efficient for machines to use, because they don’t always follow instructions. Sometimes an AI model may take an instruction and execute better than the developer—other times it might do the task much worse.

Jackson adds that vibe coding falls down when anyone is building serious software. “There are almost no applications in which ‘mostly works’ is good enough,” he says. “As soon as you care about a piece of software, you care that it works right.”

Many software projects are complex, and changes to one section of code can cause problems elsewhere in the system. Experienced programmers are good at understanding the bigger picture, Jackson says, but “large language models can't reason their way around those kinds of dependencies.”

Jackson believes that software development might evolve with more modular codebases and fewer dependencies to accommodate AI blind spots. He expects that AI may replace some developers but will also force many more to rethink their approach and focus more on project design.

Too much reliance on AI may be “a bit of an impending disaster,” Jackson adds, because “not only will we have masses of broken code, full of security vulnerabilities, but we'll have a new generation of programmers incapable of dealing with those vulnerabilities.”

Learn to Code

Even firms that have already integrated coding tools into their software development process say the technology remains far too unreliable for wider use.

Christine Yen, CEO at Honeycomb, a company that provides technology for monitoring the performance of large software systems, says that projects that are simple or formulaic, like building component libraries, are more amenable to using AI. Even so, she says the developers at her company who use AI in their work have only increased their productivity by about 50 percent.

Yen adds that for anything requiring good judgement, where performance is important, or where the resulting code touches sensitive systems or data, “AI just frankly isn't good enough yet to be additive.”

“The hard part about building software systems isn't just writing a lot of code,” she says. “Engineers are still going to be necessary, at least today, for owning that curation, judgment, guidance and direction.”

Others suggest that a shift in the workforce is coming. “We are not seeing less demand for developers,” says Liad Elidan, CEO of Milestone, a company that helps firms measure the impact of generative AI projects. “We are seeing less demand for average or low-performing developers.”

“If I'm building a product, I could have needed 50 engineers and now maybe I only need 20 or 30,” says Naveen Rao, VP of AI at Databricks, a company that helps large businesses build their own AI systems. “That is absolutely real.”

Rao says, however, that learning to code should remain a valuable skill for some time. “It’s like saying ‘Don't teach your kid to learn math,’” he says. Understanding how to get the most out of computers is likely to remain extremely valuable, he adds.

Yegge and Kim, the veteran coders, believe that most developers can adapt to the coming wave. In their book on vibe coding, the pair recommend new strategies for software development including modular code bases, constant testing, and plenty of experimentation. Yegge says that using AI to write software is evolving into its own—slightly risky—art form. “It’s about how to do this without destroying your hard disk and draining your bank account,” he says.

[cyberstudious]

Hey! This is very random, but I saw that you work in cyber security right now. I work in data science, but I'm really interested in cyber security and considering making a switch. I was wondering what kind of cybersecurity work you do, and what has been the most helpful for you to learn what you need for your job!

Hi! Cybersecurity is a really broad field, and you can do a lot of different things depending on what your interests are.

My work is mostly focused around automating things for security, since my background is in programming. Automation is really helpful for speeding up boring, monotonous tasks that need to get done, but don't necessarily need a human involved. A good example is automated phishing analysis, since phishing reports are a big chunk of the cases that security analysts have to deal with, and an analyst usually follows the same few steps at the beginning. Rather than someone having to manually check the reputation of the sender domain, check the reputation of any links, and all of that every single time, we can build tools to automatically scan for things like that and then present the info to the analyst. The whole idea here is to automate the boring data retrieval stuff, since computers are good at that, and give the analyst more time for decision-making and analysis, since humans are good at that.

If you're coming from data science, you might be interested in detection engineering. Cybersecurity is essentially a data problem - we have a ton of logs from a ton of different sources (internal logs, threat intelligence feeds, etc.) - how do we sort through that data to highlight things that we want to pay attention to, and how can we correlate events from different sources? If you're into software development or want to stay more on the data science side, maybe you could also look into roles for software development at companies that have SIEM (Security Information and Event Management) products - these are essentially the big log repositories that organizations rely on for correlation and alerting.

As for starting to learn security, my general go-to recommendation is to start looking through the material for the Security+ certification. For better or worse, certifications are pretty big in security, much more so than other tech fields (to my knowledge). I'm a bit more hesitant to recommend the Security+ now, since CompTIA (the company that offers it) was bought by a private equity company last year. Everyone is kind of expecting the prices to go up and the quality to go down. (The Security+ exam costs $404 USD as of writing this, and I think I took mine for like $135ish with a student discount in 2022). However, the Security+ is still the most well-known and comprehensive entry-level certification that I'm aware of. You can (and should) study for it completely for free - check out Professor Messer's training videos on YouTube. There are also plenty of books out there if that's more of your thing. I'd say to treat the Security+ as a way to get a broad overview of security and figure out what you don't know. (It's certainly not a magic ticket to a job, no matter what those expensive bootcamps will tell you.)

If you aren't familiar with networking, it's worth checking out Professor Messer's Network+ training videos as well. You don't need to know everything on there, but having an understanding of ports, protocols, and network components and design is super useful. I hear a lot that the best security folks are often the ones who come from IT or networking or similar and have a really solid understanding of the fundamentals and then get into security. Don't neglect the basics!

One thing that I'll also add, based on conversations I've had with folks in my network… getting a job in cybersecurity is harder now than it used to be, at least in the US (where I am). There are a ton of very well-qualified people who have been laid off who are now competing with people trying to get into the field in the first place, and with the wrecking ball that Elon is taking to the federal government (and by extension, government contractors) right now… it's hard. There's still a need for skilled folks in cyber, but you're going to run into a lot of those "5 years of experience required for this entry-level job" kind of job postings.

On a slightly happier note, another thing you should do if you want to get into cyber is to stay up to date with what's happening in the industry! I have a masterpost that has a section with some of my favorite news sources. The SANS Stormcast is a good place to start - it's a 5 minute podcast every weekday morning that covers most of the big things. Black Hills Infosec also does a weekly news livestream on YouTube that's similar (but longer and with more banter). Also, a lot of infosec folks hang out on Mastodon & in the wider fediverse. Let me know if you want some recs for folks to follow over there.

The nice thing about cybersecurity (and computer-related fields in general, I find) is that there are a ton of free resources out there to help you learn. Sometimes it's harder to find the higher-quality ones, but let me know if there are any topics you're interested in & I'll see what I can find. I have a few posts in my cybersecurity tag on here that might help.

Thank you for your patience, I know you sent this in over a week ago lol but life has been busy. Feel free to send any follow-up questions if you have any!

[makingspiritualityreal]

Mars Ruled Nakshatras - Longing For Forgotten Shine

The Nakshatras of Mars experience a unique condition of struggling to let go of the past due to external circumstances freezing them in place either physically or emotionally, and the present being exceptionally punishing in contrast with a blissfully unaware and comfortable past.

@thehiddenoctave explored this particular theme in his video about Mrigashira Nakshatra, but this phenomenon is something that can be observed in all Mars ruled Nakshatras.

For most accurate results in chart research, I recommend the Kala Astrological Software by Ernst Wilhelm, that gives you an option of calculating Nakshatras based on the position of Mula in the Galactic Center. This Calculation may slightly change your Nakshatra alignment, although that doesn't always happen, and I find it to be the most accurate Vedic Astrology Calculation option available in the world. It is a game changer, and has been the cherry on top of my many years of Astrology study. I mention this here because I used this software for celebrity research, that led to conclusions for this post.

For more understanding of Mrigashira, I recommend visiting the Hidden Octave's YouTube Channel, where there is a long video focusing on this Nakshatra in particular.

To better explore and understand the theme of difficulty in moving on in Mars Nakshatras, one needs to understand the position of Mars in the Nakshatra wheel. The Mars stage comes right after the Moon stage.

In the Moon stage, we have a unique capacity of garnering attention in one form or another, due to the Moon's ability for capturing the senses and manipulating their audience. Thus, in the Moon stage we enjoy a unique Lunar Radiance, that draws people in. Different Moon Nakshatras have variations in expression of that experience, the circle of trustees getting larger with every stage. Rohini relates more to domestic and family comforts, Hasta extends to business partnerships and Shravana tends to be the collective favourite child and has a knack for being a center piece of communities and attracting crowds. These people tend to naturally attract attention, care and companionship throughout their lives. That happens, even if they suffer personal losses. One person appears to caretake them in some form after the next.

The Mars stage is where we gradually loose all of that attention and protection. Mars Nakshatra natives normally have a knack for early success in life in some form, as they are still running off steam of the latent lunar influence from the previous stage. These natives suffer a lot from the Golden Child syndrome - first pampered, then discarded. The issue with the Mars stage, is that these natives are formed just like the Lunar natives in their childhood years. They naturally get adjusted to receiving a lot of attention and adulation. Then, due to unpleasant external events, they lose that adulation, typically as a result of betrayal by those, that were supplying them with the very emotional care they are so attached to.

As a result, the entire nervous system of these natives goes into shock, and they become fundamentally defensive. Depending on ones chart, two scenarios can occur.

The healthier scenario, is that the native properly develops and uses their Mars energy, and becomes the builder and protector of their own circle of safety, away from those, that subjected them to betrayal in the first place, and making sure no one suffers like they had to. In charts where Mars Nakshatras are particularly well functioning, there is almost an inborn animal instinct, that these people rely on, that makes them look for a way out of birth circumstances and leaving the Moon stage innocence and naiveté behind. That can occur in particular with Ketu in Martian Nakshatras, which shows a past life talent for sensing an inherent lack of safety in any environment. For instance, I have Ketu in Mrigashira, and I never trusted my family circle, and always looked for ways to leave it since the youngest age.

Sadly, there is also another scenario, which can easily occur if the planets in Mars Nakshatras are under some form of affliction, which causes emotional strain to the native and messes with their mindset. In the other scenario, the native becomes frozen in the long forgotten past, living a life of illusions, constantly wounded by the fact, that the life they so cling to will never come back. They realise, that the people who hurt them were never good to begin with and they stopped caring for them in the present, in fact only used them and never cared for them to begin with, and they can't cope with that, so they mentally escape into the past, into a time, where they still felt like they received the protection and nurtuting they miss now.

You can find very good examples of this phenomenon related to Mrigashira Nakshatra in the Hidden Octave video, which mentions a character of a child prodigy that has grown up to become stuck at home, filled with resentment, way into her matured age. She spends her time reminiscing on her easier times as a child actress, adored by her parents, but put into a reprehensible position due to her sister's insane jealousy.

Chitra natives tend to be more physical in their expression of Mars traits, modifying their bodies in order to retain youth and finances, since their family may have been more affluent in the past, but might have faced financial loss or simply separation. This motivates these natives to go to great lengths to preserve the illusion of status and comfort, experienced in the past, and makes them prone to playing social games and enjoying material wealth as "toys", just so they can feel like a child on the playground again.

The screenshot from the top of the post talks about a Dhanishta Moon native, Britney Spears, famous singer and dancer since a very young age, then betrayed and drugged by her family, now a wreck, stuck in her past dream of her family's adoration for her through her career status, still performing young girl dance routines, even though it's more inappropriate and disturbing with every passing day as she matures into her 40s.

These Nakshatra examples are a good place to mention, that the desperation of Mars natives is what can ironically pave their path into further success. A desire for attention leads to developing seduction methods to keep sustaining that attention. A desire for physical beauty motivates these natives towards acts such as plastic surgery to keep looking youthful. A desire for the attention of the crowds makes these natives act in provocative ways, just so that they feel someone will still keep talking about them. However, these acts usually end up either collapsing, as one is not really contributing anything useful to the world, which grows bored of the native, or producing love-hate reactions from the crowds, which only exacerbates these native's emotional problems.

Mars is healed, when it completely cuts off the past, lets go, stops trying to control people's reactions and trying to constantly get external validation and attention and charters its own course, developing independence. A healed Mars is a builder, that sets realistic goals and focuses on them, without looking for external approval. Mars is a spiritual planet, and it is where we develop faith in something bigger than ourselves for the first time, which ends up being crowned and maturing in Jupiter.

Mars is the King's Soldier and a Soldier's Mantra, is that he marches forward even when he doesn't know where he's going, because it's the belief in his path and the rhythm of his journey that keeps him alive.

[codingquill]

Why is landing an Internship as a Computer Engineering/Computer Science Student so hard ?

Hey there, dear coders!

I apologize for my long absence—life caught me off guard with a lot of work and projects. Now that I finally have some time, I wanted to make a post to connect with you all. Thank you so much for 1,000 subscribers! I know maintaining a community requires consistent posting, and I feel like many of you might have forgotten about me. But I promise to make something big out of this. I've been thinking about starting a newsletter where you can receive weekly emails from me, discussing something I learned that week or anything that intrigued me and I felt like sharing.

Now, back to our question: Is it really hard to land an internship as a computer science student? The answer is yes, and as a computer engineering student myself, I can attest to this.

I've often wondered why it's so difficult. After some observations, I discovered that almost every computer science student's resume looks the same. The portfolios are nearly identical, lacking uniqueness. If you've studied at the same school as your friends, what would make a recruiter choose you over them?

This is where uniqueness and a sense of self come in. Your portfolio or website should reflect exactly who you are as a person and highlight your strengths.

The second crucial factor is dedication. I've had classmates who are extremely dedicated. They might not have any special skills, but they show immense interest in what they want to do. This drive is palpable, and recruiters can sense it too.

Sometimes, the resume isn't even the most important aspect. For big companies like Oracle, what you say and know during the interview and technical tests matters more. The resume is just the very first step.

So, what I've learned along the way can be summed up in two words: uniqueness and dedication.

Now how to Create the Perfect Resume to Land an Internship as a Student ?

1. Keep the design simple:

Avoid extra designs or too many colors. While uniqueness is important, recruiters generally do not favor overly designed resumes.

2. Structure your resume properly:

- The Resume Header

Contact Information:

Full name and title: List your first and last name. Use the title of the role you want instead of your current title.

Professional email address: Use a clean format like firstname.lastname@gmail.com.

Phone number: Choose the number you check most frequently. Record a professional voicemail greeting if yours is too casual.

Address: List only your city and state. Let recruiters know if you're willing to relocate if applicable.

LinkedIn or other professional social media: Include your LinkedIn profile if it's active and relevant. List any portfolios or computer engineering-related sites.

- The Resume Summary

A paragraph where you describe yourself by answering these questions:

What is your professional style? (Use one or two descriptive words such as patient, critical thinker, consensus builder, excellent designer.)

What is your greatest engineering strength?

What will you add to this particular team?

What is your process for building and maintaining computer networks?

What are you proudest of in your career?

Example:

Motivated computer engineering student with a strong foundation in software development and solid analytical and problem-solving skills. Looking for an opportunity to enhance my skills in a challenging professional environment.

- The Employment History Section

Be specific about how you contributed to each position and the impact you made.

List the job title, organization name, dates of employment, and 3–6 bullet points showcasing your achievements.

Start each bullet point with a strong action verb like collaborated or designed.

Highlight significant achievements rather than just listing responsibilities.

If you have no experience, include a projects section. This will act as your experience. Highlight how you worked on each project and your passion for it.

- The Skills Section

Combine hard and soft skills. The skills section is often the first place recruiters look to ensure you have the key abilities they're seeking. Your entire resume should support the skills you list here.

- The Education and Certifications Section

List your education, including any relevant courses or special achievements during your degree. Also, mention any certifications you have, whether from freeCodeCamp, Google, Coursera, etc.

By following these tips, you can create a resume that stands out and showcases your unique strengths and dedication. Good luck with your internship search, and remember to stay true to yourself!

[blubberquark]

Are Game Blogs Uniquely Lost?

All this started with my looking for the old devlog of Storyteller. I know at some point it was linked from the blogroll on the Braid devlog. Then I tried to look at on old devlog of another game that is still available. The domain for Storyteller is still active. The devblog is gone.

I tried an old bookmark from an old PC (5 PCs ago, I think). It was a web site linked to pixel art and programming tutorials. Instead of linking to the pages directly, some links link led to a twitter threads by authors that collected their work posted on different sites. Some twitter threads are gone because the users were were suspended, or had deleted their accounts voluntarily. Others had deleted old tweets. There was no archive. I have often seen links accompanied by "Here's a thread where $AUTHOR lists all his writing on $TOPIC". I wonder if the sites are still there, and only the tweets are gone.

A lot of "games studies" around 2010 happened on blogs, not in journals. Games studies was online-first, HTML-first, with trackbacks, tags, RSS and comment sections. The work that was published in PDF form in journals and conference proceedings is still there. The blogs are gone. The comment sections are gone. Kill screen daily is gone.

I followed a link from critical-distance.com to a blog post. That blog is gone. The domain is for sale. In the Wayback Machine, I found the link. It pointed to the comment section of another blog. The other blog has removed its comment sections and excluded itself from the Wayback Machine.

I wonder if games stuff is uniquely lost. Many links to game reviews at big sites lead to "page not found", but when I search the game's name, I can find the review from back in 2004. The content is still there, the content management systems have been changed multiple times.

At least my favourite tumblr about game design has been saved in the Wayback Machine: Game Design Tips.

To make my point I could list more sites, more links, 404 but archived, or completely lost, but when I look at small sites, personal sites, blogs, or even forums, I wonder if this is just confirmation bias. There must be all this other content, all these other blogs and personal sites. I don't know about tutorials for knitting, travel blogs, stamp collecting, or recipe blogs. I usually save a print version of recipes to my Download folder.

Another big community is fan fiction. They are like modding, but for books, I think. I don't know if a lot of fan fiction is lost to bit rot and link rot either. What is on AO3 will probably endure, but a lot might have gone missing when communities fandom moved from livejournal to tumblr to twitter, or when blogs moved from Wordpress to Medium to Substack.

I have identified some risk factors:

Personal home pages made from static HTML can stay up for while if the owner meticulously catalogues and links to all their writing on other sites, and if the site covers a variety of interests and topics.

Personal blogs or content management systems are likely to lose content in a software upgrade or migration to a different host.

Writing is more likely to me lost when it's for-pay writing for a smaller for-profit outlet.

A cause for sudden "mass extinction" of content is the move between social networks, or the death of a whole platform. Links to MySpace, Google+, Diaspora, and LiveJournal give me mostly or entirely 404 pages.

In the gaming space, career changes or business closures often mean old content gets deleted. If an indie game is wildly successful, the intellectual property might ge acquired. If it flops, the domain will lapse. When development is finished, maybe the devlog is deleted. When somebody reviews games at first on Steam, then on a blog, and then for a big gaming mag, the Steam reviews might stay up, but the personal site is much more likely to get cleaned up. The same goes for blogging in general, and academia. The most stable kind of content is after hours hobbyist writing by somebody who has a stable and high-paying job outside of media, academia, or journalism.

The biggest risk factor for targeted deletion is controversy. Controversial, highly-discussed and disseminated posts are more likely to be deleted than purely informative ones, and their deletion is more likely to be noticed. If somebody starts a discussion, and then later there are hundreds of links all pointing back to the start, the deletion will hurt more and be more noticeable. The most at-risk posts are those that are supposed to be controversial within a small group, but go viral outside it, or the posts that are controversial within a small group, but then the author says something about politics that draws the attention of the Internet at large to their other writings.

The second biggest risk factor for deletion is probably usefulness combined with hosting costs. This could also be the streetlight effect at work, like in the paragraph above, but the more traffic something gets, the higher the hosting costs. Certain types of content are either hard to monetise, and cost a lot of money, or they can be monetised, so the free version is deliberately deleted.

The more tech-savvy users are, the more likely they are to link between different sites, abandon a blogging platform or social network for the next thing, try to consolidate their writings by deleting their old stuff and setting up their own site, only to let the domain lapse. The more tech-savvy users are, the more likely they are to mess with the HTML of their templates or try out different blogging software.

If content is spread between multiple sites, or if links link to social network posts that link to blog post with a comment that links to a reddit comment that links to a geocities page, any link could break. If content is consolidated in a forum, maybe Archive team could save all of it with some advance notice.

All this could mean that indie games/game design theory/pixel art resources are uniquely lost, and games studies/theory of games criticism/literary criticism applied to games are especially affected by link rot. The semi-professional, semi-hobbyist indie dev, the writer straddling the line between academic and reviewer, they seem the most affected. Artists who start out just doodling and posting their work, who then get hired to work on a game, their posts are deleted. GameFAQs stay online, Steam reviews stay online, but dev logs, forums and blog comment sections are lost.

Or maybe it's only confirmation bias. If I was into restoring old cars, or knitting, or collecting stamps, or any other thing I'd think that particular community is uniquely affected by link rot, and I'd have the bookmarks to prove it.

Figuring this out is important if we want to make predictions about the future of the small web, and about the viability of different efforts to get more people to contribute. We can't figure it out now, because we can't measure the ground truth of web sites that are already gone. Right now, the small web is mostly about the small web, not about stamp collecting or knitting. If we really manage to revitalise the small web, will it be like the small web of today except bigger, the web-1.0 of old, or will certain topics and communities be lost again?

[gleefulchibi]

It really is a shame that Secret of Evangelion was never translated into English. I would love to be able to actually play the game instead of having to run screenshots through translation software and hope for the best. But I guess this is the best I'll get with a PS2 game from 2006.

Kyoya Kenzaki is a fascinating character. I want to study that man under a microscope. Since you're playing the game from his perspective, you really get to see his thought processes and how he reacts to certain situations.

Even though the rough translations I have, I can tell his character development is excellent. The catalyst of said character development is Kaji's death. Once he kills his closest friend, he really starts to question whether or not he should continue blindly following Gendo's orders. To the point where he comes to loathe Gendo. (Good for you, Kyoya. Gendo is a shitbag.)

Long story short Kyoya Kenzaki is cool AF and it's a real shame more people don't know about him.

Oh yeah did I mention he has angel bits in him? Yeah Ritsuko put angel bits in him without telling him after he got severely injured during an angel attack. This guy is having hallucinations and weird shit is happening to him bc of the angel bits. And he's having an existential crisis over it bc he DOES NOT KNOW that he's essentially been experimented on without his consent. (Finding this out made me like Ritsuko less bc there are several scenes where he goes to her for answers and she just refuses to tell him anything. Girl that's fucked up.)

[whentherewerebicycles]

man oh man i have so many thoughts about how insistently (and i think kind of blindly/uncritically) my university pushes us to frame absolutely every type of learning experience we offer to students in the language of "career readiness" and "career-connected learning" and "professional development." i totally get that we have a large first-gen student population who are making a big investment of time & money in a college degree and who want to be sure that doing so will grant them access to greater socioeconomic mobility. and i DO think it is important for us to think about like, ok, long-term, what comes after these experiences or after this four years in college, and what can we be doing to set students up for success as they transition out of college and into the rest of their lives. but like. idk man. i find it really bleak sometimes. just this relentless messaging that the only thing that matters in your adult life is how competitive you are on the job market. and i also think it pushes us to just like, kind of warp or distort the things we are offering students to make them fit under that rubric, or that particular framework for valuing things? like if we want to convince a student to study abroad we can't be like, living abroad is one of the most amazing things you can do. it's so fun/scary/exhilarating/awesome and it will expand your horizons in ways you can't even anticipate and it will expose you to different ways of seeing the world and you will get to interact with people whose perspectives have been shaped by totally different cultures & contexts and it will help you become more independent and more confident in your ability to handle unfamiliar situations and it will give you stories you will remember all your life and you will build strong friendships with the people you meet and you will take cool pictures or buy little knickknacks that remind you of those experiences in your daily life forever and it will motivate you to travel more and when/if you have kids of your own you will probably make it a priority to travel with them if you can or to encourage them to study abroad when they're older because you know how amazing that experience is and you want them to have access to those kinds of life-changing opportunities. like instead of saying any of that we have to say oh this will develop your skills in time management and project management and professional communication with your supervisors and it will give you something impressive to talk about on your resume or in job interviews and blah blah blah. or even if you use a more capacious definition of career readiness that focuses more on habits of mind (like, in the workplace you will sometimes have to navigate complex situations where expectations are not fully clear! you will also likely have this experience living abroad!), it's still just like... idk man... i find it so reductive lol like yeah sure but "get a skill that applies to your job as a project manager or an IT professional or whatever" just feels so much... Less... than the more humanistic appeal to like, this will enrich your life in so many ways, and you will, through these experiences, just become an all-around more emotionally mature, confident, and interesting human being who has engaged in an experience that challenged you and helped you grow. but then i am all in on the humanities and humanism in general so maybe i am biased here and someone who wants to be a software engineer or whatever would be wholly unmoved by that kind of appeal. idk. anyway. it looks like our team is going to be subsumed into our career center in the next year or two so like. what can you really do except to inwardly say "wow i kinda hate this"

[pupmkincake2000]

I started replaying the game for the first time in a long time. I want to get the bad ending because I need several scenes from it. And the more I play, the more inconsistencies and bad writing I notice.

But I also want to say this

the game is right in some ways, especially regarding unemployment level. It is already clear that many things are being robotized and in another ten or twenty years, human physical labor can easily be replaced by machines. However, in this case, I do not understand humanity and their claims to the robotization of physical labor. After all, this will essentially make life easier for many people, and it is also a good motivation to get an education.

Progress does not stand still, so it has long been clear that many professions will simply disappear, since such work will be done by machines, not even androids, just machines. Not everyone will be able to work there where machines cannot replace humans, but this is still motivation, like, if you want your future job not to be taken away, study hard, develop your intellect.

I also looked for professions that cannot be replaced by artificial intelligence, the list is quite interesting:

Therapist, Human Resources, Social Worker, Teacher, Healthcare worker, Leadership, Skilled professionals, Creative professionals, Judge, Scientists, Artist, Law, Musician, Surgeon, Chief executives, Customer Service Representatives, Graphic Designers, Healthcare professionals, Spiritual leader, Athletes, Dancer, Education, Public Service, Software developer

Although I still have doubts about some professions from this list, the list is quite impressive. And I don’t really understand the indignation of people from the game and people in general “oh, androids will replace us all”. They won’t replace everyone, but if you want to keep your job, you’ll have to try to get a good education, which is the main problem, since good education is not available to everyone.

But this is something we can’t avoid, progress cannot be stopped, and if we try, we’ll all just go back to the Middle Ages.