#Live Software Development Training

[emiliamartin0101]

4 Time-Saving Tips for Getting the Most Out of an Online AI Program

The rise of artificial intelligence (AI) has created unprecedented opportunities in various industries—from finance to healthcare and beyond. Enrolling in an Artificial Intelligence and Machine Learning course is a smart investment in your future, but managing your time effectively is crucial for success, especially with self-paced online programs.

Whether you're a working professional or a student, these four time-saving tips will help you maximize your learning experience in any online AI program. Along the way, we’ll explore essential terms and tools that can enhance your understanding of artificial intelligence systems.

Related Keywords Used Naturally Throughout:

Deep learning

Neural networks

Natural language processing (NLP)

Data science

Predictive analytics

Online learning platforms

Supervised learning

AI certifications

Tip 1: Set Clear Learning Objectives and Milestones

Define What You Want to Achieve

Before diving into an AI program, take the time to outline specific goals. Are you aiming for a career in data science? Do you want to understand how neural networks work? Or perhaps you're interested in applying predictive analytics in your industry?

Setting goals will help you:

Focus on the modules that are most relevant to your interests

Allocate time according to topic complexity

Track progress with measurable milestones

Tip 2: Leverage the Right Tools and Platforms

Optimize Learning with AI-Specific Resources

Modern online learning platforms often come equipped with tools that support different learning styles. These platforms may include:

Interactive coding environments

Real-time quizzes and feedback

Peer discussion forums

Make the most of these by:

Bookmarking video lectures for quick revisits

Joining active forums to resolve doubts on complex topics like *natural language processing

Helpful Tools:

Google Collab for running Python code

GitHub for accessing and sharing AI projects

Jupiter Notebooks for visualizing data in data science tasks

Tip 3: Practice with Real-World Projects

Apply Concepts to Strengthen Understanding

Theory without practice won’t take you far in a field as hands-on as AI. Completing mini-projects or capstone assignments helps you solidify concepts and prepares you for job roles involving *machine learning algorithms* or deep learning frameworks.

Ideas for Mini Projects:

1. Sentiment analysis using NLP on Twitter data

2. Image recognition using convolutional neural networks

3. Fraud detection using supervised learning models

4. Sales forecasting with time-series predictive analytics

Spending time on these practical applications can also enhance your portfolio, which is essential if you’re seeking AI certifications or job placements.

Tip 4: Automate and Batch Your Study Sessions

Reduce Cognitive Load with Smart Scheduling

To make learning more efficient:

Batch similar tasks: Watch multiple videos in one sitting, then set aside another session for quizzes or coding exercises

Automate reminders: Use calendar apps to get notified of assignments or discussion deadlines

Utilize spaced repetition: Revisit complex topics like *neural networks* using flashcards and spaced repetition apps

By automating your study plan and reducing decision fatigue, you free up mental energy for more demanding tasks.

Conclusion

Succeeding in an Artificial Intelligence and Machine Learning course requires more than just logging in and watching videos. With clear objectives, the right tools, hands-on projects, and smart scheduling, you can not only save time but also deeply understand core concepts like natural language processing, data science, and deep learning. These time-saving strategies are essential for anyone looking to thrive in online AI programs and ultimately, the AI-driven workforce.

Frequently Asked Questions (FAQ)

1. What is the best way to start learning artificial intelligence and machine learning online?

The best way to start is by choosing a structured online AI program that offers foundational content on machine learning, neural networks, and data science. Set clear goals and follow a time-managed schedule.

Learn more about Artificial Intelligence and Machine Learning course here.

2. How long does it take to complete an online AI program?

Most self-paced courses take between 3 to 6 months, while intensive boo camps may last 8 to 12 weeks. Your prior experience with programming or predictive analytics can also affect completion time.

3. What are some useful projects to include in an AI portfolio?

Strong portfolios include real-world applications such as image classification, chatbot development using NLP , fraud detection systems, or data visualization dashboards using data science* tools. Projects that showcase the implementation of neural networks or deep learning models are particularly valuable.

4. Are AI certifications from online courses worth it?

Yes, certifications from reputable platforms can enhance your resume and demonstrate proficiency in tools and concepts like natural language processing, data science, and machine learning algorithms. They are especially useful for career changers or professionals seeking roles in tech and analytics.

5. How do I stay consistent while learning AI online?

Maintaining consistency involves setting a fixed schedule, minimizing distractions, and using reminders to stay on track. Batching tasks, leveraging active recall, and regularly reviewing learned material also contribute to long-term retention.

[mythalism]

i know everyone is really excited for the oblivion remake because i was too. oblivion was the first real video game i ever played when i was a kid, and is literally the reason i am a gamer today, but BDS has called for a microsoft boycott, and that includes anything made by bethesda.

this isn't just a "oh they have some obscure business partnerships in isr*el" or "oh they donate to this or that lobby" sort of boycott either, although those are important too. my tone is not meant to be flippant about them, but rather i want to emphasize the gravity of how microsoft directly and deliberately contributes to the palestinian death toll daily, in a way that is uniquely cruel and complicit.

microsoft has had a $35 million dollar contract with the isr*eli military since 2002. they provide cloud storage for surveillance data of gazan civillians, and an artificial intelligence program called a "mass assassination factory" to assist in planning and targeting their attacks, many of which are on civilians or involve mass civilian casualties.

microsoft's service agreements with the isr*eli military also includes the CPU responsible for the military's tech infrastructure, military intelligence units that develop spy technology used against palestinians and lebanese, the maintenance of the palestinian population registry that tracks and (illegally) limits the movement of palestinains in the west bank and gaza, their air force targeting database, and much more. they work closely with isr*eli military intelligence agencies on surveillance systems used to monitor palestians, provide specialized consulting, technical and engineering support, hosts training software for the IOF, provide financial support to organizations based in the illegally occupied west bank, and have repeatedly invested in isr*eli start ups specializing in war technology.

in 2020, internal and external pressure forced microsoft to pull out of its 74 million dollar investment in an isr*eli company that violated international law due to its use of facial recognition technology for military surveillance.

in 2021, microsoft signed a new, 3-year contract with the isr*eli ministry of defense worth $133 million dollars. the isr*eli military is microsoft's second largest military customer. the first? the united states.

you can read more (w/ sources) about microsoft's complicity here.

BDS asks us to boycott microsoft products whenever possible.

microsoft is directly complicit in countless isr*eli war crimes, and the money you provide them will further proliferate this violence. i know the oblivion remake was exciting, but please, consider the lives of palestinians above your own nostalgia. no one is free until everyone is free.

[bi-writes]

whats wrong with ai?? genuinely curious <3

okay let's break it down. i'm an engineer, so i'm going to come at you from a perspective that may be different than someone else's.

i don't hate ai in every aspect. in theory, there are a lot of instances where, in fact, ai can help us do things a lot better without. here's a few examples:

ai detecting cancer

ai sorting recycling

some practical housekeeping that gemini (google ai) can do

all of the above examples are ways in which ai works with humans to do things in parallel with us. it's not overstepping--it's sorting, using pixels at a micro-level to detect abnormalities that we as humans can not, fixing a list. these are all really small, helpful ways that ai can work with us.

everything else about ai works against us. in general, ai is a huge consumer of natural resources. every prompt that you put into character.ai, chatgpt? this wastes water + energy. it's not free. a machine somewhere in the world has to swallow your prompt, call on a model to feed data into it and process more data, and then has to generate an answer for you all in a relatively short amount of time.

that is crazy expensive. someone is paying for that, and if it isn't you with your own money, it's the strain on the power grid, the water that cools the computers, the A/C that cools the data centers. and you aren't the only person using ai. chatgpt alone gets millions of users every single day, with probably thousands of prompts per second, so multiply your personal consumption by millions, and you can start to see how the picture is becoming overwhelming.

that is energy consumption alone. we haven't even talked about how problematic ai is ethically. there is currently no regulation in the united states about how ai should be developed, deployed, or used.

what does this mean for you?

it means that anything you post online is subject to data mining by an ai model (because why would they need to ask if there's no laws to stop them? wtf does it matter what it means to you to some idiot software engineer in the back room of an office making 3x your salary?). oh, that little fic you posted to wattpad that got a lot of attention? well now it's being used to teach ai how to write. oh, that sketch you made using adobe that you want to sell? adobe didn't tell you that anything you save to the cloud is now subject to being used for their ai models, so now your art is being replicated to generate ai images in photoshop, without crediting you (they have since said they don't do this...but privacy policies were never made to be human-readable, and i can't imagine they are the only company to sneakily try this). oh, your apartment just installed a new system that will use facial recognition to let their residents inside? oh, they didn't train their model with anyone but white people, so now all the black people living in that apartment building can't get into their homes. oh, you want to apply for a new job? the ai model that scans resumes learned from historical data that more men work that role than women (so the model basically thinks men are better than women), so now your resume is getting thrown out because you're a woman.

ai learns from data. and data is flawed. data is human. and as humans, we are racist, homophobic, misogynistic, transphobic, divided. so the ai models we train will learn from this. ai learns from people's creative works--their personal and artistic property. and now it's scrambling them all up to spit out generated images and written works that no one would ever want to read (because it's no longer a labor of love), and they're using that to make money. they're profiting off of people, and there's no one to stop them. they're also using generated images as marketing tools, to trick idiots on facebook, to make it so hard to be media literate that we have to question every single thing we see because now we don't know what's real and what's not.

the problem with ai is that it's doing more harm than good. and we as a society aren't doing our due diligence to understand the unintended consequences of it all. we aren't angry enough. we're too scared of stifling innovation that we're letting it regulate itself (aka letting companies decide), which has never been a good idea. we see it do one cool thing, and somehow that makes up for all the rest of the bullshit?

[mariacallous]

Before Duolingo wiped its videos from TikTok and Instagram in mid-May, social media engagement was one of the language-learning app’s most recognizable qualities. Its green owl mascot had gone viral multiple times and was well known to younger users—a success story other marketers envied.

But, when news got out that Duolingo was making the switch to become an “AI-first” company, planning to replace contractors who work on tasks generative AI could automate, public perception of the brand soured.

Young people started posting on social media about how they were outraged at Duolingo as they performatively deleted the app—even if it meant losing the precious streak awards they earned through continued, daily usage. The comments on Duolingo’s TikTok posts in the days after the announcement were filled with rage, primarily focused on a single aspect: workers being replaced with automation.

The negative response online is indicative of a larger trend: Right now, though a growing number of Americans use ChatGPT, many people are sick of AI’s encroachment into their lives and are ready to fight back.

When reached for comment, Duolingo spokesperson Sam Dalsimer stressed that “AI isn’t replacing our staff” and said all AI-generated content on the platform would be created “under the direction and guidance of our learning experts.” The company's plan is still to reduce its use of non-staff contractors for tasks that can be automated using generative AI.

Duolingo’s embrace of workplace automation is part of a broad shift within the tech industry. Leaders at Klarna, a buy now, pay later service, and Salesforce, a software company, have also made sweeping statements about AI reducing the need for new hires in roles like customer service and engineering. These decisions were being made at the same time as developers sold “agents,” which are designed to automate software tasks, as a way to reduce the amount of workers needed to complete certain tasks.

Still, the potential threat of bosses attempting to replace human workers with AI agents is just one of many compounding reasons people are critical of generative AI. Add that to the error-ridden outputs, the environmental damage, the potential mental health impacts for users, and the concerns about copyright violations when AI tools are trained on existing works.

Many people were initially in awe of ChatGPT and other generative AI tools when they first arrived in late 2022. You could make a cartoon of a duck riding a motorcycle! But soon artists started speaking out, noting that their visual and textual works were being scraped to train these systems. The pushback from the creative community ramped up during the 2023 Hollywood writer's strike, and continued to accelerate through the current wave of copyright lawsuits brought by publishers, creatives, and Hollywood studios.

Right now, the general vibe aligns even more with the side of impacted workers. “I think there is a new sort of ambient animosity towards the AI systems,” says Brian Merchant, former WIRED contributor and author of Blood in the Machine, a book about the Luddites rebelling against worker-replacing technology. “AI companies have speedrun the Silicon Valley trajectory.”

Before ChatGPT’s release, around 38 percent of US adults were more concerned than excited about increased AI usage in daily life, according to the Pew Research Center. The number shot up to 52 percent by late 2023, as the public reacted to the speedy spread of generative AI. The level of concern has hovered around that same threshold ever since.

Ethical AI researchers have long warned about the potential negative impacts of this technology. The amplification of harmful stereotypes, increased environmental pollution, and potential displacement of workers are all widely researched and reported. These concerns were often previously reserved to academic discourse and online leftists paying attention to labor issues.

As AI outputs continued to proliferate, so did the cutting jokes. Alex Hanna, coauthor of The AI Con and director of research at the Distributed AI Research Institute, mentions how people have been “trolling” in the comment sections of YouTube Shorts and Instagram Reels whenever they see AI-generated content in their feeds. “I've seen this on the web for a while,” she says.

This generalized animosity towards AI has not abated over time. Rather, it’s metastasized. LinkedIn users have complained about being constantly prompted with AI-generated questions. Spotify listeners have been frustrated to hear AI-generated podcasts recapping their top-listened songs. Reddit posters have been upset to see AI-generated images on their microwavable noodles at the grocery store.

Tensions are so high that even the suspicion of AI usage is now enough to draw criticism. I wouldn’t be surprised if social media users screenshotted the em dashes in this piece—a supposed giveaway of AI-generated text outputs—and cast suspicions about whether I used a chatbot to spin up sections of the article.

A few days after I first contacted Duolingo for comment, the company hid all of its social media videos on TikTok and Instagram. But, soon the green owl was back online with a satirical post about conspiracy theories. “I’ve had it with the CEOs and those in power. It’s time we show them who’s in charge,” said a person wearing a three-eyed Duolingo mask. The video uploaded right afterwards was a direct message from the company’s CEO attempting to explain how humans would still be working at Duolingo, but AI could help them produce more language learning courses.

While the videos got millions of views on TikTok, the top comments continued to criticize Duolingo for AI-enabled automation: “Keep in mind they are still using AI for their lessons, this doesn’t change anything.”

This frustration over AI’s steady creep has breached the container of social media and started manifesting more in the real world. Parents I talk to are concerned about AI use impacting their child’s mental health. Couples are worried about chatbot addictions driving a wedge in their relationships. Rural communities are incensed that the newly built data centers required to power these AI tools are kept humming by generators that burn fossil fuels, polluting their air, water, and soil. As a whole, the benefits of AI seem esoteric and underwhelming while the harms feel transformative and immediate.

Unlike the dawn of the internet where democratized access to information empowered everyday people in unique, surprising ways, the generative AI era has been defined by half-baked software releases and threats of AI replacing human workers, especially for recent college graduates looking to find entry-level work.

“Our innovation ecosystem in the 20th century was about making opportunities for human flourishing more accessible,” says Shannon Vallor, a technology philosopher at the Edinburgh Futures Institute and author of The AI Mirror, a book about reclaiming human agency from algorithms. “Now, we have an era of innovation where the greatest opportunities the technology creates are for those already enjoying a disproportionate share of strengths and resources.”

Not only are the rich getting richer during the AI era, but many of the technology’s harms are falling on people of color and other marginalized communities. “Data centers are being located in these really poor areas that tend to be more heavily Black and brown,” Hanna says. She points out how locals have not just been fighting back online, but have also been organizing even more in-person to protect their communities from environmental pollution. We saw this in Memphis, Tennessee, recently, where Elon Musk’s artificial intelligence company xAI is building a large data center with over 30 methane-gas-powered generators that are spewing harmful exhaust.

The impacts of generative AI on the workforce are another core issue that critics are organizing around. “Workers are more intuitive than a lot of the pundit class gives them credit for,” says Merchant. “They know this has been a naked attempt to get rid of people.” The next major shift in public opinion will likely follow previous patterns, occurring when broad swaths of workers feel further threatened and organize in response. And this time, the in-person protests may be just as big as the online backlash.

[charseraph]

Noosciocircus agent backgrounds, former jobs at C&A, assigned roles, and current internal status.

Kinger

Former professor — Studied child psychology and computer science, moved into neobotanics via germination theory and seedlet development.

Seedlet trainer — Socialized and educated newly germinated seedlets to suit their future assignments. I.e. worked alongside a small team to serve as seedlets’ social parents, K-12 instructors, and upper-education mentors in rapid succession (about a year).

Intermediary — Inserted to assist cooperation and understanding of Caine.

Partially mentally mulekicked — Lives in state of forgetfulness after abstraction of spouse, is prone to reliving past from prior to event.

Ragatha

Former EMT — Worked in a rural community.

Semiohazard medic — Underwent training to treat and assess mulekick victims and to administer care in the presence of semiohazards.

Nootic health supervisor— Inserted to provide nootic endurance training, treat psychological mulekick, and maintain morale.

Obsessive-compulsive — Receives new agents and struggles to maintain morale among team and herself due to low trust in her honesty.

Jax

Former programmer — Gained experience when acquired out of university by a large software company.

Scioner — Developed virtual interfaces for seedlets to operate machinery with.

Circus surveyor — Inserted to assess and map nature of circus simulation, potentially finding avenues of escape.

Anomic — Detached from morals and social stake. Uncooperative and gleefully combative.

Gangle

Former navy sailor — Performed clerical work as a yeoman, served in one of the first semiotically-armed submarines.

Personnel manager — Recordkept C&A researcher employments and managed mess hall.

Task coordinator — Inserted to organize team effort towards escape.

Reclused — Abandoned task and lives in quiet, depressive state.

Zooble

No formal background — Onboarded out of secondary school for certification by C&A as part of a youth outreach initiative.

Mule trainer — Physically handled mules, living semiohazard conveyors for tactical use.

Semiohazard specialist — Inserted to identify, evaluate, and attempt to disarm semiotic tripwires.

Debilitated and self-isolating — Suffers chronic vertigo from randomly pulled avatar. Struggles to participate in adventures at risk of episode.

Pomni

Former accountant — Worked for a chemical research firm before completing her accreditation to become a biochemist.

Collochemist — Performed mesh checkups and oversaw industrial hormone synthesis.

Field researcher — Inserted to collect data from fellows and organize reports for indeterminate recovery. Versed in scientific conduct.

In shock — Currently acclimating to new condition. Fresh and overwhelming preoccupation with escape.

Caine

Neglected — Due to project deadline tightening, Caine’s socialization was expedited in favor of lessons pertinent to his practical purpose. Emerged a well-meaning but awkward and insecure individual unprepared for noosciocircus entrapment.

Prototype — Germinated as an experimental mustard, or semiotic filter seedlet, capable of subconsciously assembling semiohazards and detonating them in controlled conditions.

Nooscioarchitect — Constructs spaces and nonsophont AI for the agents to occupy and interact with using his asset library and computation power. Organizes adventures to mentally stimulate the agents, unknowingly lacing them with hazards.

Helpless — After semiohazard overexposure, an agent’s attachment to their avatar dissolves and their blackroom exposes, a process called abstraction. These open holes in the noosciocircus simulation spill potentially hazardous memories and emotion from the abstracted agent’s mind. Caine stores them in the cellar, a stimulus-free and infoproofed zone that calms the abstracted and nullifies emitted hazards. He genuinely cares about the inserted, but after only being able to do damage control for a continually deteriorating situation, the weight of his failure is beginning to weigh on him in a way he did not get to learn how to express.

[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

[rainbowsky]

Hey RBS.. Wishing you a wonderful week ahead. Do you think Globalfever fansite is being managed directly by someone from GG/DD’s team. Many a times I wonder how that site able to get tickets to all of our boys events and capture such close up candid shots of GGDD unless she is part of their inner circle?

Example today - https://weibo.com/7320958826/OydEkDN0w

not sure if it’s original or edited.. from that video it looks like XZ acknowledged her words of Jiayou and bye bye

Hi Natashayishan, thanks! I hope you're well, and that you have a wonderful week too! 😊

Here's the video for those who don't have access to Weibo.

To answer this question I'm going to start by explaining a bit of background about fansites and how they function (I'm by no means an expert, but here's my understanding of how it all works).

Part 1 - Fansites in General

There has been a lot of talk about fansites over the years, and some have faced accusations, criticisms, confusion, suspicions, theories both positive and negative for a very long time. I think they're largely misunderstood by a lot of fans.

For example, it's not uncommon for people to believe fansites are stalkers, or that they shamelessly profit from the unauthorized use of a star's image or footage, or that they're organizations that exist for the purpose of exploiting stars.

This isn't really how it works at all. In general, a fansite is just one fan who follows a star's career and enjoys sharing photos and videos they take of that star. Plain and simple. Some fansites involve more than one person, but most are just made up of individuals.

Yes, they sometimes make money selling photo books and other merch, but that money tends to go back into supporting the star -buying endorsement products, arranging events and giveaways, buying or upgrading equipment needed to create fansite content (cameras, computer equipment, software), paying for tickets (many of which are overpriced reseller tickets) and travel/accommodations to attend events, etc.

It might seem glamorous - and there's undeniably a glamorous aspect to it - but to me it looks very stressful, like a huge headache. These fans generally have their own lives and careers outside of fandom, so coordinating everything, waiting in lines, standing in the rain outside appearances and events, not to mention the pressure to attend events and post regular updates, and all the haters and antis they are constantly dealing with, the amount of stress and frustration they deal with must be immense.

It's a lot of work, and for this reason, fansites don't always stay fansites. Some retire as their real life interests and obligations shift. One of my favorite GGDD fansites - Midnight Dream - retired a few years ago. 😢

Fansites are an important part of any celebrity's support system. While no - they aren't part of a celebrity's team or on their payroll, they do play a huge part in helping to bring attention to a star and build buzz around them, their projects, their appearances, events and other activities.

If you want an analogy that might help it make more sense to you, just look at some of the sports fans across the globe who will follow all the matches, follow team developments, team picks, managers and training, and share all that info on blogs, podcasts or dedicated sports fan sites.

This is very similar. They're just really dedicated fans who build a following by being where we can't be, and sharing their experiences so that we can feel like we were there, too.

And they provide the fans and the stars an immense, immeasurable service IMHO, despite what we might agree or disagree with about the way fandom culture works. The content they capture and share is almost always far more intimate (generally without being invasive), and of a far higher quality than that of the professionals hired to cover these events on behalf of media agencies and management.

Fansites do get some official support from time to time. For example, there are events where fansites can get approval - almost like a press pass or a security pass - to attend and be in certain locations within or near facilities to take photographs, video, etc., but they are not hired or compensated by the star or their team.

A lot of it is also largely unknown/unknowable, so it's hard to be sure of the details. There are always going to be rumors and claims. For example, there have been claims that during SDOC Yibo was allowed to invite 4 fansites to come to the finale, and of the 4, he chose 3 BXG fansites and only one solo site. I haven't seen proof of that, but the claim was making the rounds a lot at the time.

One thing we do know - he chose a fansite photo to give to Yangkai when he was courting him to join his team in season 4. (Of course, solos made a huge stink and Youku ended up editing the footage to remove the photo, but we saw what we saw).

There are other examples of GG and DD interacting with or showing acceptance of their BXG fansites. I started looking for some references and then realized it was not something I have time for or interest in. I'm not here to give a comprehensive analysis anyway, I'm just here to give a simple-ish answer to your question. If others want to discuss that in the notes, that's fine.

So, hopefully some of that background info will have answered parts of your question, and gives you more tools to evaluate things on your own moving forward.

Part 2 - Global Fever

As for Global Fever specifically, well... Global Fever is one of the most treasured BXG in the entire fandom. This dedicated fan has been following GG and DD BOTH, since they debuted. She is more than just a CP fan, she's been a supporter of their individual careers since day 1.

Yes, since back when Yibo was still the White Peony.

She became a CP fan in the natural way - by seeing her faves work together on The Untamed, by watching them interact and by following them and their careers. No, she doesn't work for their teams (they both have dedicated teams of their own, and they don't need to pay fansites who - after all - will do this stuff for free). It's just that she's recognizable to GG and DD because she's been a fixture in their lives for so many years.

And this is something solos need to get their heads around: BXG are fans too. I think there's this conceit among solos that THEY'RE GG and DD's fans and BXG are something else, but in reality (and, no doubt, in the eyes of GG and DD) BXG are their fans too.

Never could that be more apparent than when a dedicated fan like Global Fever jiejie is calling 'Zhanzhan, jiayou!' and 'byebye!' as he's boarding an elevator on the way to the stage. Of course GG recognized her and smiled at her. Of course.

[nyxtickled]

I kind of can't get over you studying freakin' *robotics engineering.* Now I'm picturing you as the cool engineer on some sci-fi show. Whaddaya think? Star Trek? Something with giant robots? Maybe something grittier and more cyberpunk?

Maybe this is making too light of what you're working so hard for. Follow-up and/or substitute question: what's one of your dream projects or goals? What kind of robot(s) does Nyx most want to create, or work on?

🥹🤭 awww jeez don’t make me all fricken bashful on main i’m supposed to be tough !!!! CYBERPUNK PLEASE AAAAH

ok ok but to answer seriously, so far in my academic career i’ve worked on autonomous cars (1/10 scale autonomous racecars built essentially from scratch, a full size autonomous EV gokart, and i’ve even been fortunate enough to work on a fully autonomous indy 500 car…essentially the most advanced autonomous vehicle in the world. shit was one of the most mind blowing things i’ve ever been a part of), i’ve worked on some cool solar stuff (solar water heater for an orphanage in Tijuana, solar carport concept design for a nonprofit who wants to propose the idea of charging EV cars while they’re parked outside at work all day and distributing leftover power to the building), and my personal favorite was this project i did for a class i took where i designed an autonomous campus rideshare prototype on one of the 1/10 scale cars that was able to use facial recognition to identify the student who requested the ride and would essentially drive itself to the drop off location!

the last one was the most fun for me bc it was the first time i really got into the programming side of robotics. the car would have a starting location where it waited for ride requests, then when you submitted one it would drive itself to the location using LiDAR for collision avoidance and GPS path training. but the real doozy was the pickup stage bc i had to develop the facial recognition code to be able to scan the student’s face upon arrival with computer vision in live time with a camera that was attached to the car, and then match it to a photo of the student that was stored in a database, and then try to match the name of that student to the name of the student who requested the ride! if it matched, the screen would be like “rider verified! hop in!” and proceed to the next stage of driving itself to the drop off point. if it didn’t, the screen would read “sorry, we couldn’t verify your identity with the ride request” and drive itself back to the parking spot where it would wait for the next ride request! and the database of faces would basically come from your student ID picture, cuz the rideshare service would be around campus for students only!

god it was so fucking challenging but i had so much fun with it. so uhhhh to avoid writing 18 more paragraphs about all the cool robotics shit that i’m obsessed with, i would say my dream project is definitely something that combines machine learning software, robotics operating systems programming, and mechanical design all in one. something that could take the technological advancements that we have made and turn it into something useful for everyone. fuck i’m such a nerd i’m sorry i did NOT mean to go on like this ahahahahaha

[puckpocketed]

Published 2016 via The MIT Press - Rogue Archives: Digital Cultural Memory and Media Fandom by Abigail De Kosnik

An examination of how nonprofessional archivists, especially media fans, practice cultural preservation on the Internet and how “digital cultural memory” differs radically from print-era archiving.

Book I'm cracking open some time this off-season. Referenced a chapter for an essay a million years ago, always planned to read the whole thing but never got to it. Seems relevant in light of my current fixation on hockey + sports + fannish archival practices <3 the rest of the blurb + an excerpt of the intro under the cut.

The task of archiving was once entrusted only to museums, libraries, and other institutions that acted as repositories of culture in material form. But with the rise of digital networked media, a multitude of self-designated archivists—fans, pirates, hackers—have become practitioners of cultural preservation on the Internet. These nonprofessional archivists have democratized cultural memory, building freely accessible online archives of whatever content they consider suitable for digital preservation. In Rogue Archives, Abigail De Kosnik examines the practice of archiving in the transition from print to digital media, looking in particular at Internet fan fiction archives. De Kosnik explains that media users today regard all of mass culture as an archive, from which they can redeploy content for their own creations. Hence, “remix culture” and fan fiction are core genres of digital cultural production. De Kosnik explores, among other things, the anticanonical archiving styles of Internet preservationists; the volunteer labor of online archiving; how fan archives serve women and queer users as cultural resources; archivists' efforts to attract racially and sexually diverse content; and how digital archives adhere to the logics of performance more than the logics of print. She also considers the similarities and differences among free culture, free software, and fan communities, and uses digital humanities tools to quantify and visualize the size, user base, and rate of growth of several online fan archives.

Memory Escapes the State

Memory has gone rogue. What I mean by this, first of all, is that memory has fallen into the hands of rogues.

From the late nineteenth through the late twentieth century, memory — not private, individual memory, but public, collective memory — was the domain of the state. Writes Tony Bennett in The Birth of the Museum, "Museums, galleries, and, more intermittently, exhibitions played a pivotal role in the formation of the modern state and are fundamental to its conception as, among other things, a set of educative and civilizing agencies." Bennett points out that "all developed nation-states" have consistently prioritized funding for their memory institutions, and have benefited from these institutions serving as "mechanisms for the permanent display of power," and as "influential cultural technologies" that testify to the states' "ability to command, order, and control objects and bodies, living or dead" (Bennett 1995, 66). Achille Mbembe argues that "the term 'archives" is first of all understood as referring to "a public institution, which is one of the organs of a constituted state. ... There is no state without archives" (Mbembe 2002, 19, 23).¹

But when digital networked media began displacing earlier forms of transmission (television, radio, cinema, print) as what Philip Auslander calls "the cultural dominant" (Auslander 2008, 23) in regions with widespread Internet access, the ties binding public memory to the state began to loosen, and memory started to forge links with many other masters: people who never underwent training in library and information sciences (LIS) but designated themselves "archivists" anyway, built freely accessible online archives, and began uploading (or assisting users with uploading) whatever content they deemed suitable for digital preservation Digital archiving, while of increasing interest to traditional memory institutions, has been most enthusiastically embraced by nonprofessionals — by amateurs, fans, hackers, pirates, and volunteers — in other words, by "rogue" memory workers. Digital archives of cultural content, not associated with any physical museum, library, or archive, populate the Internet, to the point that many people refer to the Internet as a giant archive. (For example, Lev Manovich states in The Language of New Media, "The Internet ... can be thought of as one huge distributed media database" [Manovich 2001, 55].)

Rogue archivists explore the potential of digital technologies to democratize cultural memory. With digital tools and networks, they construct repositories that are accessible by all Internet users, and can choose to preserve either vast quantities of information (they do not have to choose to save some types of content and discard other types because of physical space restrictions) or highly specific materials (such as the documents of subcultures or minority groups) that have been consistently excluded or ignored by traditional memory institutions. In Rogues, Jacques Derrida relates the "roué”or "rogue,” the figure of licentiousness and debauchery in French culture since the eighteenth century, to democracy: "Democracy, the passage to democracy, democratization, will have always been associated with license, with taking too many liberties, with the dissoluteness of the libertine, with liberalism, indeed perversion and delinquency, with malfeasance, with failing to live according to the law, with the notion that 'everything is allowed,' that 'anything goes'" (Derrida 2005, 21). In other words, the process of ending monarchy and inaugurating democracy in France depended on rogues willing to "take liberties" with the very notion of liberty and make themselves over from king's subjects into republican citizens. Similarly, since the late-1980s advent of what we might call the public Internet (that is, the time when the Internet ceased to be a network usable only by government, university, and research lab employees, and became a network with which millions of people engaged on a daily basis)², rogue archivists have acted on the assumption that "anything goes" on the network, taking the initiative to design, found, and run their own cultural memory institutions without waiting for traditional institutions to set any precedents for online archiving, and achieving a degree of democratic inclusion and access for which brick-and-mortar archives never even aimed. What I call rogue archives are defined by: constant (24/7) availability; zero barriers to entry for all who can connect to the Internet; content that can be streamed or downloaded in full, with no required payment, and no regard for copyright restrictions (some rogue archivists digitize only what is already in the public domain); and content that has never been, and would likely never be, contained in a traditional memory institution.

One digital archivist interviewed by my research team, who uses the pseudonym "jinjurly" and runs what is called the Audiofic Archive, sums up the rogue's attitude toward traditional ideas about the institutional qualifications required for archival work:

[I used to say] "I've got an archive, but I'm not an archivist." I don't have an archivist degree. But what does that mean? Okay, when I was cooking in restaurants, I was writing menus and composing recipes and running a line and hiring and firing and running a kitchen, but I wasn't a chef, because I don't have a chef education or whatever. But again, what does that mean? I really, honestly think that — well, okay, everything takes practice—but anyone can do these things. (jinjurly 2012)

jinjurly's words may have been scandalous in an earlier era, but as digital culture develops, her idea that "anyone can do these things" — meaning that anyone can build a digital archive if she cultivates the necessary technical skills, dedicates sufficient time and resources, and commits to serving a public over a long time period of time through an enduring online resource — is becoming more and more common. Indeed, the "scandal" caused by rogue archivists consists precisely of their transforming "archives" and "archiving" from terms that signify exclusivity into terms that signify commonness, so that instead of locked rooms, the word "archives" connotes websites that operate as information commons, and instead of the concealed workings of a rarefied circle of experts, "archiving" refers to acts of database design and maintenance that "anyone can do," that are commonplace. And scandals such as these, caused by roués, Derrida claims, can beget serious social and cultural transformations.

Derrida emphasizes rogues' abilities to bring about change, even on the scale of sweeping, radical revolutions. The rogues of digital archiving have effectuated cultural memory's escape from the state; memory will never again be wholly, or even mostly, under the control of the state or state-approved capitalists. Having fallen under the sway of rogues, cultural memory has become more democratic. But this is not the only way that memory is different in the digital era than it was before.

[sosadraws]

Haii, Sosaaa! Okay, so i wanna get into animation BUT I'm really new. Lucky for me I know someone who's awesome at animating (that's you btw) so I need your expertise. What program do you use, and also do you have any tips for a newbie?

Aww Jay, you flatter me~✨but before answering I must put the disclaimer that I'm just a hobbyst animator with no formal training, that during quarintine thought "Oh woah, these Multiple Animation Projects that people do in YT are so cool! I want to join them!" and started learning by herself. Take everything I say with a grain of salt.

First things first: I mainly use TV Paint. However I'm not letting you spent money on paid stuff you don't even know you'll like, so here are some free alternatives that I've used as well:

Krita is mostly a drawing program, but it also has a animation interface. The red and black parts of the Helena AMV were made with this.

Flipaclip is kinda neat phone/tablet app for when you want to animate on the go, but it can also feel more limiting since various features have to be unlocked by watching ads or getting the premuim version (in typical app fashion, I guess...)

Blender, while mainly meant for 3D animation, also has been developing Grease Pencil, that allows 2d animation in both 2D or 3D spaces. And the lines are vectors, so you can edit them after drawing them and such.

You can even use normal drawing programs. I've animated with Paint Tool Sai and Medibang by drawing all the frames, saving each frame as a image in sequence (001, 002, 003...) and putting them together in some editing program or gif maker. It's possible, but it's more work.

There's also OpenToonz, which is an open source version of the software used by Studio Ghibli in some movies?? I haven't used this one, but I'll leave it here in case you want to give it a try.

For editing (In the rare scenarios where I do fancy editing) I use After Effects. I can't personally recommend any free substitute, but as far as I've read, DaVinci Resolve seems like a good replacement.

Now, regarding actual animation advise, I won't explain the principles or terminology because:

It's very overwhelming since it's A LOT of information, specially for a beginner

I work mostly by vibes, so there are concepts I don't undertand well enough to explain to others

Instead I'll foward you this whole book that goes in detail about all that technical stuff.

That being said, at the end of the day, hand-drawn animation is drawing main poses (aka key poses) and then drawing a bunch of more drawings in between until the drawings together look like they move.

So yeah, it's a lot of work,

....but it doesn't have to be tedious work~ 👀✨

As a hobbyst I live for the philosophy of vibing during the process instead of chasing perfect results, and I'm assuming that you just want to try for funsies and not that you're trying to become a pro industry animator anyways. Here are my personal tips to make the animation process more bearable:

1- Pick something you love! Seriously, any long task becomes more bearable when it's about a theme or character you enjoy. There's a reason why most of my animations have been about HnK or Signalis,

2- SIMPLIFY THAT DESIGN! Before you even pick the pencil, I want you to really look at the design of whatever you're going to animate and ask yourself "Are all the details in this design really necessary?" Every extra detail really starts to add when you have to draw the same thing multiple times for a single second of animation. You don't need to add all the robotic details on replika bodies, or draw every single stripe a tiger has, to put an example.

3- Keep it simple! At some point you might have a cool idea of an anime style epic battle with looks of cool explosions, camera angles, awesome fighting choreograpies and whatnot; but you first have to start small or else you'll get overwhelmed and not finish anything (been there, done that). Start with something simple like a bouncing ball, or if you're feeling brave, a walk cycle or a character turning their head. In that same sense, remember the book I linked? Don't try to learn all of it at once, go one step at a time.

4-Use references! On google images there are multiples breakdowns of things like run, flight or walk cycles, for example, and you can even use youtube videos! (tip: pause the video and use "," and "." to move back and forth between frames). In case you need help with a very specific pose or movement, you can use yourself or a friend recreating the pose irl (yes, the process is very embarrasing, and yes, the results are worth it)

4- You don't have to animate/redraw everything everytime. We aren't going for Oscar winning levels of animation here anyways. It's ok to copy and paste across different frames, only animate certain parts of the body and leave the rest static, panning the camera to simulate movement... Listen, if actual standars profesionals cut corners, why can't we? We aren't even getting paid for this!

6- It's ok to suck at first. My first animation was this kitty back in 2016,

and here's this Elster from last year doing similar movements.

It's not perfect by any means, but I feel like both art and animation-wise there has been some improvement. And I guess that right now I could remake it and make it even better, but that's because I got more experience and a better eye at finding mistakes and how to solve them, and you get that with practice.

...So yeah, there's that, have fun in your animation endeavors 👍✨

[brynvivix]

Asking For Donations — This Will Likely Be My First & Last Time Doing This

Cshpp - $d1pl0mat

Hey all, I'm a neurodivergent transfeminine person who could use a bit of a financial boost. I've been unemployed for over a year due to autistic burnout and a lot of life circumstances piling on in a short time. Thankfully, things seem to be settling into place and good things are on the horizon, but I need a bit of a push to get there.

The Good: I currently have an apprenticeship lined up that will pay me well and get me into my desired field of software development. I only have to do a behavioral interview (which I expect to pass with flying colors) and I'll be starting training next month. This will enable me to move in with my partners and largely get my life back on track.

The Not-So-Good: That still leaves me with about a month and a half of not getting paid yet. Like I said above, I've been unemployed for just over a year, taking odd jobs and helping my partner(s) with finances as a way of keeping afloat. However, the family I'm living with has their food assistance on hold and I'm unsure when that problem will subside. This is on top of running low on gas, medical weed, and with a phone bill due in the very near future.

This request isn't quite as urgent as some of the others you might see, but if you have $10-20 to throw my way I'd be insanely appreciative. I'm seeking a total of ~$300 to be solidly set with groceries, gas, meds, my phone bill, and a little overhead for incidentals.

Thank you in advance <3

[stephantom]

ok personal grievance time.

my company—my parent-company really, because they acquired us several years ago as part of an identity crisis driven strategy but never really integrated us meaningfully so we’ve continued to function independently like the dumb little startup we were—just fired my boss and it is the stupidest, most careless decision I’ve ever…

it’s like they took inspiration from DOGE. just widespread mass firings of people in management positions without any consideration for their actual roles and importance.

this guy was not just the manager of my 3-person-software team—he was our company’s sole sys admin, our software architect, our database manager, our server manager, our go-to general IT person. none of us know how to do half the shit he does, or even what it is. what the FUCK are we going to do without him.

it is now just me and the QA guy and the 20-something junior developer we hired last year to replace our old head developer who quit, and we are going to just limp on for as long as we can, I guess, but literally what the fuck

… and my partner is suddenly back in the office full time for HIS job (because DOGE) when he’d previously been at home, and we just had this baby thinking we knew what our lives looked like and what our jobs looked like but yeah idk I am very checked out at work rn bc. baby. etc. uhh but if I don’t figure out how to suddenly do all these new responsibilities, our app will just stop functioning and our whole company will just be completely screwed.

and our boss is training us (purely because he’s just a good guy) and making sure we have access to various things and adding documentation but it’s so much and some of these platforms are eol in like 2 years and we’ll have to reconfigure everything somehow ahhh fuck

anyway.

I really can’t get over how unbelievably stupid it was to fire him. I would’ve said he was one of 3, maybe 4 people that this company literally couldn’t function without. And they just. Lol.

[midesastremanifiesto]

Teto said they they have a theory why carlos felt in the car how he felt and they will test the hypothesis in Japan, so I think they have "studying the data" part covered. Also as a data analyst, I can tell you that you don't need to sit in group in round table of a conference room to study and analysis data, it can easily be done individually with effective communication with team it you have the right software program. He and his engineers can do this from their respective places then discuss new theory/hypothesis and finding over virtual meetings. Now the sim work, drivers can't just work in the factory and do sim work whenever they want, it is scheduled and structured by the team. Simulator is also used by developers, engineers for upgrades or new development for the car. It's not like he can hop into the simulator whenever he has a bad race weekend.

The bottom line is he is someone who is in this field for 10 years and ha changed team 4 times. He knows what and when needs to be done and he is the most hardworking driver in the grid. So there is absolutely no need to stress out and think that he is slacking in his work when you see him living his life in between race weekend.

P.S. I am not saying these to the specific anon who realised and said that they are probably overthinking, but there has been a trend recently among a section of Carlos fans specially on X. They "worry" that he is not pushing himself hard enough. It's been like this since the beginning of the year when they said he isn't training hard like last year, he isn't going to factory enough, he isn't going to china from Australia asap etc etc. There is always an accusatory tone to it. Idk why but I think we will enjoy the sport more in general when we stop trying to micromanage something that we have hardly any knowledge of

thanks for the detailed explanation, anon!

I don't know if those fans (I am not speaking about my anons here) are seriously "concerned", but if they are, they should question themselves because why are they doubting a guy who has been in F1 for 11 seasons, has raced for 5 teams and is known in the paddock for his technical knowledge and his hard work.

[thegildedbee]

Family/Laugh: May 12 & 13 Prompts from @calaisreno

The exterior nowheres that Sherlock inhabits can be charted by his footfalls as he wends his way through the precincts of temporary cities. The silent drift of assimilating interior nowheres, however, seems to leave no traces, even as he feels unseen changes taking hold. His suspension in the January North of a darkness that persists until late morning, and then quickly returns in the afternoon, intensifies his perception that he lives in a shadow-world, a lone dark figure extracted from the frozen rain that curtains his days. 

The patterns he seeks to capture as he hunts amidst the ones and zeros of cyberspace are likewise intangible – extended solitary vigils as his fingers command the keyboard to winnow through the tangle of codes – as well as tangible, of meetings with the technological mix of people here at Tallinn’s crossroads: software developers seeking the leading edge at corporate labs, security experts at NATO’s Cyber Defence Centre of Excellence, the underground hackers who traverse the landscape of the digital realm’s hollow earth. Both the intangible and the tangible are intense efforts to spy glimpses of Moriarty’s covert presence in the spaces between the ones and zeros, summoning up the networks and nodes of the intersecting spheres of finance, and energy, and communications, as made manifest in trafficking, and counterfeiting, and hijacking, across the physical and human worlds.

He’s accumulated an abundance of leads, some he’s near-certain he understands, and others he’s yet to decipher – but it’s enough to reveal to him his next move on the chessboard: St. Petersburg. He’ll take the train from Tallinn, without needing to step out for border control, which is handled en route. He’ll be leaving Estonia under a new identity; he hopes to keep Lukas Sigerson in his back pocket for later uses, but it’s time to make his presence difficult to trace: it's time to step away from Mycroft’s grid. He’s left seemingly inadvertent clues to allow Mycrofts’s people to (think that they’re) following him, along a pathway that connects the nefarious doings of Mexican cartels involved in establishing meth labs in Nigeria for the Asian market. Their pursuit of him will be turned to good account in dismantling that nexus, even when they realize he is elsewhere. 

St. Petersburg is a hive of hacking activity, the physical site of the infamous Russian Business Network, which catered to the needs of cyber criminals. It’s not surprising that it is the city where Vladimir Putin lived, received his education, and joined the KGB, as an agent in its foreign intelligence wing, before tunneling his way to Moscow. Sherlock doesn’t believe that there are many degrees of separation between Moriarty and the dark internet of Putin’s hellscape. 

He arrives at the end of Tallinn’s usefulness on a Friday evening. As he packs up his kit in the office space he’s made homebase through a courtesy loan in deference to his Norwegian technology credentials, some of the younger workers have swept him up into their murmurating flock as they celebrate the coming weekend in search of alcohol, bar food, and music. In London, Sherlock would have begged off such a request, were anyone intrepid enough to suggest it, and he would have been unperturbed at whatever anyone might think. But he’s not Sherlock, he’s Lukas, at least for a short while longer, and although his persona is reserved, businesslike and uninclined to make small talk, Lukas possesses an average quantity of affability; and remaining unobtrusive is best accomplished by being amidst the motions of others, rather than making himself conspicuous by setting himself off from the norms of sociality. 

He did not, however, anticipate the karaoke session, which is putting a severe strain on the bonhomie he is channeling to Lukas, as it’s clear that he’s going to need to accede to accepting a turn in the spotlight, lest he put a damper on the good spirits of his companions. He nevertheless protests with a smile, holding out his hands, but any input he might have been able to exert on the decision-making disappears, when two of his impromptu friends conspire to tug him toward the microphone, explaining that all three of them will venture forth together, with a song they insist is dead simple to sing, and that the well-lubricated crowd will be delighted to join in with them in belting out the familiar refrain. Which is how he finds himself being carried along within a punchy, melodic stream that turns out to be excruciating emotionally, as the verses unfurl. He listlessly despairs, marooned, a hollowed-out laugh echoing inside his head in response.

. . . When I'm lonely, well, I know I'm gonna be I'm gonna be the man who's lonely without you And when I'm dreamin', well, I know I'm gonna dream I'm gonna dream about the time when I'm with you. When I go out (when I go out), well, I know I'm gonna be I'm gonna be the man who goes along with you And when I come home (when I come home), I know I'm gonna be I'm gonna be the man who comes back home with you I'm gonna be the man who's comin' home with you . . .

He’s exasperated at the universe conspiring to keep him unsettled, to deny him the solace of alone protecting him. He fears that he is fated to have any social contact whatsoever somehow conjure home and reminders of John. The song ends to raucous cheers, and the enthusiasm surges on, and he’s being importuned to name a new song of his own choice before being allowed to return to the table. He looks at the smiling faces helplessly, immobilized by the churning cacophony playing hide-and-seek inside his guts, incapable of conjuring up the simplest of answers. Undeterred, they jolly him along, prompting him to think of a film he’s recently seen, or club he’s been to, or a favorite television show. At the latter suggestion, his mind does slightly slip free, and there is John again, teasing Sherlock into watching another of his favorite shows, Sherlock pretending to be annoyed at being consigned to such a fate. He turns to the young people, and raises his voice to speak into the nearest person’s ear to be heard over the noisy crowd, and says with a question in his voice, Peaky Blinders? He seems to have pleased them, as they fiddle around to pull the selection, bouncing in high spirits and punching their fists into the air, as the music starts, a bell ringing out, and the slithering deep tones speaking of the edge of town, of secrets in the border fires, of a gathering storm -- and a tall handsome man, in a dusty black coat, with a red right hand. 

As Sherlock listens to the song unspool, his mind wanders back to the show's themes, reminding him of a line of thought he’d been considering the last few days – that to focus singularly on Moriarty and faceless confederates is not quite the right way to conceptualize the dead man's web: that there must have also been family members in leading positions, positions of trust. One of the deep divides between himself and Mycroft originated in Sherlock’s refusal in uni to agree to work for SIS. Mycroft knew that he would never be able to trust completely any of the professionals who worked for him – after all they are spies working for money. To be sure, he wanted Sherlock to sign on to be able to appropriate his intelligence, but even more compelling was the fact that never having to question the loyalty of a brother would have made him an asset par excellence. Mycroft considers getting what he wants to be an inviolable law of the universe, and Sherlock doesn't think his brother will ever be able to truly forgive him for the rejection . . . especially given Sherlock's devotion to the inferior endeavors of dedicating himself to a life of metropolitan crime-solving. Family; family is what matters. A Moriarty is gone; but there are other Moriarties yet to be unearthed. ........................................................ @calaisreno @totallysilvergirl @friday411 @peanitbear @original-welovethebeekeeper @helloliriels @a-victorian-girl @keirgreeneyes @starrla89 @naefelldaurk

@topsyturvy-turtely @lisbeth-kk @raina-at @jobooksncoffee @meetinginsamarra @solarmama-plantsareneat @bluebellofbakerstreet @dragonnan @safedistancefrombeingsmart @jolieblack

@msladysmith @ninasnakie @riversong912 @dapetty

.............................................................................

[homestuckreplay]

when your friends don't invite you to the matching username party :(

Now that we've seen all of John's friends talk at least a little bit, I wanted to deep dive into their usernames, and see what they might be able to tell us about the characters we don't know yet. For sure I've seen some weird usernames in my time on sites like MSN Messenger, but these seem especially weird, and not like words most kids would use.

There's also a weird pattern - all three of John's friends only use words beginning with T and G in their screen names. We have TT, TG and GG, so if they were doing a bit together we'd expect John to be GT, but instead he's EB - not even close. Could this be a sign that he feels disconnected from the friend group, not fully part of things, doubting that they want him around? Is it possible that the other three are all each other's 'real life' friends while John only talks to them online? Did John not want to be GT, or did nobody ever tell him there was a theme? Was he GT before, but then got mad at his friends one day and change it to spite them? Or is there another GT we have yet to meet?

Discussion of all four known chumhandles under the cut - only ~1k words :)

ectoBiologist - As discussed in my in depth John thoughts, the strict definition of this is 'someone who studies outside/external biology', which could relate to a huge variety of very niche fields - but, knowing John, almost certainly refers to the biology of ectoplasm, slime, and ghosts, a field which doesn't exist in reality but which John might consider himself a pioneer of.

As a sidenote, if John was GT, he might go in a different direction with his username. We know from TT that John regularly wears disguises while talking to her / interacting with his dad / just in daily life, and that he's into comedy and pranks (NOT clowns). Reflecting those, I came up with guisecladTrouper as a chumhandle that would fit the modifierTypeofguy pattern, as well as the letters. If anyone has any other GT ideas for John, I'd love to hear them!

turntechGodhead - TurnTech is a Chinese company founded in 2001 that makes scientific and educational software. This probably isn't the reference, but you never know; this kid could be really into science, happen to own a piece of software from this company, and have liked the word. I also think it could be short for 'turntable technology', which can be a few different hobbies - records/DJing, railroads, or sculpture/ceramics/metalwork. DJing fits his vibe but I think it'd be so cool if he was a train guy. 'Turn' relates to shaping or forming as well as changing direction, so he could be someone who develops his own technology.

This also fits really well with 'godhead', which is the true or essential nature of God in several major world religions. So this could be a suggestion of a guy with delusions of grandeur and a massively inflated ego, or, it could be someone who takes on the role of a god himself - some kind of creator. I really think this kid is going to be into invention, metalworking, and engineering. Built his own computer from scratch type of guy. I bet he owns a soldering iron and uses it for fun.

tentacleTherapist - Lots of living things have tentacles, including snails, squid, jellyfish, coral, moss animals, caecilians, the star-nosed mole, some carnivorous plants, Squidward, and mind flayers. Tentacles are generally associated with sea creatures, horror media, or both. Therapist, meanwhile, is a person who helps to heal someone's physical or psychological problems. The words sound really good when said together, but don't have an obvious link.

One idea is that she's someone who either lives near water or owns weird pets - a tank of snails or jellyfish seems reasonable - perhaps caring for or rehabilitating them from the wild. But the idea of her being into cosmic horror creates a fascinating parallel between her username and John's. John is a biologist; he studies, analyzes and understands academically, while TT is a therapist; she rehabilitates and understands emotionally. John works with ghosts and slime, while TT works with aliens and deep sea horror. It's delightful to me that they might have bonded by nerding out over paranormal lore, an interest probably neither of them shares with many people around them.

gardenGnostic - I keep reading this as a shortening of 'common or garden gnostic' as in 'your average, everyday gnostic' which, out of all the four usernames, might be the wildest one for a 13 year old to be. Much like 'godhead', 'gnostic' carries a very strong religious theme, especially with the capital letter - I know it's the syntax, but the words could be this way round for a reason. I'm definitely going to do some background reading on Gnosticism as we get to know this character to see how well it fits.

The first word could also be referencing the Garden of Eden, the original sin and the tree of knowledge; the combination indicating a character with a drive for spiritual knowledge and self-understanding above all else. In a more literal sense, I'm imagining someone who spends a lot of time outdoors and who would think nothing of a few injuries from the Slimer pogo ride in the yard. This chumhandle is also only a few letters away from 'garden gnome', which makes me think of someone who enjoys the ornamental, decorative, and whimsical.

Just as John and TT's usernames are a pair with similar themes, TG and GG's handles also match up. (Sidenote: does this mean these are the pairs of 'best friends'? Feels weird considering TT is the only one of the three who didn't wish John a happy birthday). Both TG and GG have chumhandles strongly related to religion, creation, and origins, with TG representing the mechanical and technical side of things, and GG representing the natural and environmental side.

So, that's our four chums! The most interesting thing to me is how well these pairs of usernames work together, despite John being outside of the letter pattern. Both these things feel very intentional and not like I'm reaching; they definitely mean Something in the themes, but it's too soon to say what. I'm so impatient to see more of these characters and learn anything concrete about them at all.

If you've made it this far, here's a quick poll!

[bestmbacolleges]

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