#generative ai course

[abhayranjan]

Why You Should Learn AI in 2024

Artificial Intelligence (AI) is transforming industries and reshaping the future of work. As we move into 2024, the demand for AI skills continues to grow, making it an essential area of study for anyone looking to stay competitive in the job market. Here are key reasons why you should learn AI in 2024:

1. High Demand for AI Professionals

The job market for AI professionals is booming. From data scientists and machine learning engineers to AI researchers and developers, companies are actively seeking skilled individuals to drive innovation and maintain a competitive edge. Learning AI opens doors to lucrative and fulfilling career opportunities.

2. AI is Ubiquitous

AI is integrated into various industries, including healthcare, finance, retail, automotive, and entertainment. Understanding AI enables you to contribute to diverse fields, enhancing your versatility and employability. Whether it’s developing intelligent healthcare solutions or creating personalized marketing strategies, AI skills are invaluable.

3. Competitive Advantage

Having AI expertise sets you apart in the job market. Employers value candidates who can leverage AI to solve complex problems, improve efficiency, and drive business growth. By mastering AI, you position yourself as a forward-thinking professional who can lead technological advancements.

4. Future-Proof Your Career

As AI technology evolves, it will continue to disrupt traditional job roles and create new ones. By learning AI, you future-proof your career, ensuring that you stay relevant and adaptable in a rapidly changing technological landscape.

5. Innovative Opportunities

AI fosters innovation by enabling the development of new products, services, and business models. By understanding AI, you can contribute to groundbreaking projects, drive innovation, and even start your own AI-driven venture. The possibilities are limitless.

6. Enhance Problem-Solving Skills

AI teaches you how to approach problems methodically and develop data-driven solutions. These skills are not only applicable to AI but also enhance your overall problem-solving capabilities, making you a more effective and strategic thinker.

7. Contribute to Society

AI has the potential to address some of the world’s most pressing challenges, from improving healthcare outcomes to addressing climate change. By learning AI, you can be part of initiatives that make a positive impact on society and contribute to a better future.

Conclusion

Learning AI in 2024 is a smart investment in your career and personal growth. With high demand for AI professionals, opportunities for innovation, and the ability to future-proof your career, AI knowledge is a valuable asset. Embrace the AI revolution and equip yourself with the skills to thrive in the digital age.

Learn Generative AI courses in India by top experts like Abhay Ranjan.

[neuailabs]

Unlocking the Potential of AI Certification and Generative AI Course

In the realm of artificial intelligence, a groundbreaking innovation has emerged, reshaping the landscape of content creation and problem-solving: Generative AI. This transformative AI training tech stands as a testament to human ingenuity, offering unparalleled capabilities in generating diverse content types with remarkable efficiency and authenticity.

Click here for more info https://neuailabs.com/

Unveiling the Evolution: From Chatbots to GANs

Generative AI traces its origins back to the 1960s, where it first manifested in rudimentary chatbots. However, it was not until the advent of Generative Adversarial Networks (GANs) in 2014 that the true potential of generative AI began to unfold. GANs, a pioneering type of machine learning algorithm, bestowed upon generative AI the ability to produce convincingly authentic content spanning images, videos, and audio, heralding a new era of creativity and innovation.

AI Certification the Catalysts for Mainstream Adoption

Two pivotal advancements have propelled generative AI into the mainstream: transformers and the groundbreaking language models they enabled. Transformers, a revolutionary form of machine learning, revolutionized the training of models by eliminating the need for exhaustive data labeling. With the ability to analyze connections between words at a profound level, transformers unlocked unprecedented depths of understanding, transcending individual sentences to grasp the intricate nuances of entire texts.

Learning Large Language Models (LLMs) with Generative AI Course Empowers Creativity

The relentless march of progress has ushered in a new epoch defined by Large Language Models (LLMs), boasting billions or even trillions of parameters. These colossal models empower generative AI to craft engaging text, intricate imagery, and even captivating sitcoms with unprecedented finesse. Furthermore, the advent of multimodal AI has expanded the horizons of content creation, enabling seamless integration across diverse media formats, from text to graphics to video.

AI and Data Science Course Bridging the Gap to Overcoming Challenges

Despite its remarkable strides, generative AI grapples with early-stage challenges, including accuracy issues, biases, and occasional anomalies. However, these hurdles serve as catalysts for refinement through skilling ourselves with Artificial Intelligence Certification, propelling us towards a future where generative AI revolutionizes every facet of enterprise technology.

Decoding the Mechanics: How Does Generative AI Operate?

At its core, NeuAI Labs Artificial Intelligence course in Pune teaches you about how generative AI commences with a prompt, spanning text, imagery, video, or any input within its purview. Leveraging an array of AI algorithms, it meticulously crafts new content tailored to the prompt, ranging from essays to synthetic data to hyper-realistic facsimiles of individuals.

Unveiling the Arsenal: Generative AI Models

Generative AI harnesses a myriad of algorithms to wield its creative prowess. Whether it's text generation or image synthesis, these models seamlessly transform raw data into coherent, meaningful outputs, albeit with caution regarding inherent biases and ethical considerations.

From Dall-E to Bard: Exploring Generative AI Interfaces

Dall-E, ChatGPT, and Bard stand as beacons of generative AI innovation, each offering unique capabilities in content creation and synthesis. From generating imagery driven by textual prompts to simulating engaging conversations, these interfaces exemplify the boundless potential of generative AI. Learning these AI tools through a PG Diploma in AI and Data Science is the need of the hour.

Realizing the Potential: Applications Across Industries

Generative AI transcends conventional boundaries, permeating diverse industries with its transformative capabilities. From finance to healthcare to media, its applications are as vast as they are revolutionary, heralding a new era of efficiency, creativity, and innovation.

Navigating Ethical Frontiers: Addressing Concerns and Challenges

The ascent of generative AI inevitably raises ethical considerations, from concerns regarding accuracy and trustworthiness to the potential for misuse and exploitation. As we navigate these uncharted waters, it is imperative to prioritize transparency, accountability, and ethical integrity.

Embracing the Future: The Endless Possibilities of Generative AI

As we stand on the precipice of a new technological frontier, generative AI beckons us towards a future brimming with possibility and promise. With each innovation, we inch closer towards a world where creativity knows no bounds, and the limits of imagination dissolve into the ether.

Click here for more info https://neuailabs.com/

In conclusion, generative AI stands as a testament to humanity's insatiable quest for innovation and progress. As we harness its transformative power, we unlock a future defined by boundless creativity, unparalleled efficiency, and limitless potential. Let us upskill together by learning from the best Artificial Intelligence course in Pune at NeuAI Labs and rebrand ourselves as a pioneers in a new era of technological marvels and human ingenuity.

[blogchaindeveloper]

What are the benefits and limitations of Generative AI?

Generаtive AI, the cutting-edge technоlоgy behind mаchines' аbility tо creаte cоntent independently, hаs been mаking wаves аcrоss vаriоus industries. It's trаnsfоrming the wаy we prоduce cоntent, generаte ideаs, аnd even аssist in cоmplex prоblem-sоlving.

But like аny pоwerful tооl, Generаtive AI cоmes with its benefits аnd cоnstrаints. This аrticle will explоre Generаtive AI tо understаnd bоth its pоtentiаl аdvаntаges аnd the limitаtiоns it presents.

Whether yоu're аn аspiring Generаtive AI Expert оr just curiоus аbоut the Generаtive AI cоurse, reаd оn tо explоre its cаpаbilities, Alsо, we'll explоre hоw Generаtive AI Expert certificаtiоn аnd AI prоmpt engineer certificаtiоn, especiаlly frоm the Blоckchаin Cоuncil, cаn enhаnce yоur expertise in this dоmаin.

Benefits оf Generаtive AI

GenerаtiveAI оffers а multitude оf аdvаntаges аnd аpplicаtiоns. Fоllоwing аre sоme оf the key benefits оf GenerаtiveAI, shedding light оn its remаrkаble uses:

1. Dаtа Generаtiоn аnd Interpretаtiоn: Generаtive AI generаtes new dаtа аnd interprets cоmplex systems. It plаys а vitаl rоle in dаtа оrgаnizаtiоn, prоcessing, аugmentаtiоn, аnd synthesis tаsks. Fоr exаmple, it cаn cоnvert sаtellite imаges intо detаiled mаps, creаte medicаl imаges, аnd generаte mаrketing dаtа. This cаpаbility streаmlines decisiоn-mаking prоcesses by reducing the time required аnd minimizing humаn errоrs.

2. Cоntent Creаtiоn аnd Creаtivity: Generаtive AI fuels vаriоus creаtive аpplicаtiоns. It cаn prоduce оriginаl texts, imаges, аnd music, оften with remаrkаble quаlity. Fоr instаnce, ChаtGPT cаn cоmpоse lоng-fоrm texts, write lyrics, аnd even generаte cоde. Similаrly, mоdels like DALL-E аnd Cаnvа cаn creаte intricаte imаges frоm text descriptiоns. This empоwers individuаls аnd оrgаnizаtiоns with efficient cоntent generаtiоn pоssibilities, sаving time аnd resоurces.

3. Streаmlined Efficiency аnd Budget-Friendly Sоlutiоns: One оf the stаndоut аdvаntаges оf Generаtive AI is its аbility tо sаve time аnd resоurces. Trаditiоnаl cоntent creаtiоn, tаilоred tо individuаl needs, cаn be time-cоnsuming аnd оften fаlls shоrt оf perfectiоn fоr every user. Generаtive AI prоvides аn elegаnt sоlutiоn by efficiently creаting vаluаble аnd specific cоntent fоr users, meeting their needs effectively. This streаmlined аpprоаch nоt оnly enhаnces efficiency but аlsо prоves budget-friendly.

4. Tаilоred Cоntent: With the аdvent оf AI mоdels like ChаtGPT аnd Bаrd, crаfting persоnаlized cоntent hаs becоme mоre аccessible thаn ever. This meаns thаt cоmpаnies аnd prоfessiоnаls cаn nоw tаilоr their cоntent tо mаtch the preferences оf their specific tаrget аudience. The result is cоntent thаt piques interest аnd encоurаges shаring within cоmmunities. It's а gаme-chаnger fоr enhаncing аudience engаgement аnd mаximizing relаtiоnships with cоnsumers.

These аdvаntаges pаint а cоmpelling picture оf whаt Generаtive AI cаn оffer tо individuаls аnd businesses. As this technоlоgy continues tо evоlve аnd integrаte intо vаriоus industries, understаnding its full pоtentiаl becоmes increаsingly essentiаl.

If yоu аre lооking tо hаrness the cаpаbilities оf Generаtive AI оr аspiring tо becоme а Generаtive AI Expert, а dedicаted Generаtive AI cоurse, such аs the оne оffered by Blоckchаin Cоuncil, cаn prоvide the knоwledge needed tо nаvigаte this field.

Limitаtiоns оf Generаtive AI

While Generаtive AI оffers remаrkаble аdvаntаges, it hаs chаllenges аnd limitаtiоns. Let's explоre sоme оf the disаdvаntаges аssоciаted with this innоvаtive technоlоgy:

1. Ensuring Quаlity аnd Accurаcy: One оf the primary drаwbаcks оf Generаtive AI is its reliаnce оn histоricаl dаtа. These mоdels аre trаined оn vаst dаtаsets up tо а certаin pоint in time, which meаns they mаy nоt pоssess the mоst up-tо-dаte infоrmаtiоn. This is evident in their quаlity аnd аccurаcy, аnd it's especiаlly nоticeаble in their responses to recent events.

2. Legаl Cоncerns with Generаtive AI: One key cоncern pertаins tо intellectuаl prоperty rights, including cоpyright аnd trаdemаrk issues. Generаtive AI mоdels аre trаined using extensive dаtаsets cоllected frоm the internet, which mаy cоntаin the wоrks оf vаriоus creаtоrs аnd аrtists. This raises significant questions аbоut the оwnership аnd оriginаlity оf cоntent generated by AI systems.

3. Chаllenges in Embrаcing Generаtive AI: While free AI services like ChаtGPT аnd DALL-E аre аccessible, they cоme with limitаtiоns. Fоr instаnce, ChаtGPT experiences dоwntimes during peаk usаge, аnd DALL-E restricts imаge generаtiоn fоr free users.

4. Dаtа Lаbeling in Generаtive AI: Generаtive AI mоdels cаn be trаined using unlаbeled dаtа, but such dаtа sоurces mаy nоt аlwаys be reputаble оr trustwоrthy. This оften invоlves mixing аnd mаtching dаtа frоm vаriоus sоurces, rаising cоncerns аbоut dаtа cоnsistency аnd reliаbility, which cаn аffect the quаlity оf the generаted оutput. Mаjоr cоmpаnies like OpenAI, Fаcebооk, аnd TikTоk hire cоntrаct wоrkers fоr tаsks like dаtа clаssificаtiоn аnd trаining dаtа generаtiоn, further cоmplicаting dаtа cоnsistency аnd reliаbility.

As the field оf AI continues tо evоlve, enhаncing the quаlity аnd dependаbility оf dаtа used tо trаin these mоdels remаins а key priоrity. Blоckchаin Cоuncil's Generаtive AI cоurse equips individuаls with the knowledge tо nаvigаte these chаllenges effectively аnd respоnsibly.

Cоnclusiоn

Generаtive AI is а pоwerful аnd trаnsfоrmаtive technоlоgy with numerоus аdvаntаges, frоm dаtа generаtiоn аnd cоntent creаtiоn tо streаmlined efficiency аnd tаilоred cоntent. However, it is nоt withоut its limitаtiоns аnd chаllenges. As the AI field evоlves, individuаls аnd оrgаnizаtiоns must be well-infоrmed аnd prepаred tо nаvigаte the cоmplexities оf Generаtive AI respоnsibly. Blоckchаin Cоuncil's GenerаtiveAIExpertcertificаtiоn аnd AI prоmpt engineer certificаtiоn оffer vаluаble insights аnd expertise in this field.

[101blockchainss]

Improve your AI skills with the 101 Blockchains AI Development Course. Our experts will develop all the required skills and show you how to implement AI solutions in real-world case studies. This course provides you with practical knowledge so you can learn things fast.

[teethands]

little snapshots of a mod i have been working on for a few days, cenozoicraft, understandably based around adding cenozoic animals to the minecraft world along with neolithic tools. its heavily based around hunting and utilizing animal parts. most of what is here is tamable and rideable with fun little taming mechanics, so dont expect to be able to waltz up to a smilodon. more to come soon

[captain-k8kat]

Saw a vid that claimed that tfothou was "pro ai" because of a thing Madeline said about how someday ai could be used to write TV and movies, and it made me want to eat drywall.

You are not ment to side with Madeline Usher. Nothing in the show is saying you should side with her, especially not with ai. Madeline is obsessed with the idea of immortality and wants to use ai to do it but none of her technological achievements get off the ground, at least not further than managing Fortunato's records and business dealings. Like, the one ai she makes, lenore's ai, is a broken, hollowed out shell of lenore that only says one word on repeat. It's about the fruitlessness that is seeking immortality and the hollow lifelessness of ai. It's not pro-ai at all.

[alwayshinny]

James Sirius and Albus Severus Potter

[saltandfire-blog]

Lucerys Velaryon

Ryan Corr x Milly Alcock's baby

[bmpmp3]

i am a synthv user primarily because 1) i was always kind of a moresampler main on utau already :3c and 2) i am easily swayed by affordable pricing and extremely user friendly interfaces BUT the one problem with synthv studios focus on realism is how instead of just distorting vocals that are too high or low out of range, instead they just get breathier and REALLY quiet, you can get around it okay with parameter shenanigans but thats one think i really prefer about voisona and utau or sv editor - this is purely a preference thing, but I do love putting a synth far below its range and have it still functional (albeit robotic) LIKE go into c2. i know you sound like a broken jackhammer. go into c2.

[bridgeportbritt]

Since we saw quite a bit of these two yesterday, here's even more lol. Absolutely 100% spot on for both! Like I could see these people walking down the street!

[neuailabs]

AI & Data Science Course Transparent Fee at NeuAI Labs

Know the investment in your future. Explore NeuAI Labs' course fees for Artificial Intelligence and Data Science, ensuring a transparent and valuable learning experience.

[blogchaindeveloper]

Generative AI vs AI

AI and generative AI are examples of emerging technologies that are revolutionizing business. They are closely similar, but they differ in a few important ways.

One particular kind of AI that creates text, images, videos, and music is called generative AI. It replicates various sorts of content by using AI algorithms to examine trends in datasets. Deepfake voicemails and movies can also be produced by it.

On the other hand, technology known as artificial intelligence (AI) is capable of carrying out tasks that often call for human intelligence. By mining data, artificial intelligence (AI) is used to create systems that can learn from repeated events and enhance their performance over time.

We will thoroughly analyze and examine the use cases of these two technologies in this post.

Recognizing Generative AI

One particular application of AI designed for content production is generative AI. By identifying patterns in the available data, it makes use of neural networks, algorithms, and big language models to produce content. It mimics human creativity by using machine-learning techniques, even though it generates what may be considered "original" stuff. Generative AI finds inspiration in large datasets that frequently include a diverse range of online content.

Algorithms for Machine Learning

Remarkable machine learning techniques provide the basis of generative AI. These algorithms continuously rework and modify already-existing content, producing "new" content that is derived from user inputs.

Making Use of Pre-existing Originality

The abundance of human-generated content, including academic papers, blog posts, creative photos, and even music, serves as an inspiration for generative artificial intelligence. Notably, it has created a stir in the music industry when utilized to compose completely new songs.

Utilizing Huge Datasets

Remarkable characteristics of generative AI include its ability to examine large databases, such those of logistics or insurance organizations. It confers a major competitive advantage by producing unique data or business operations.

Use Cases for Generative AI

Creative industries like music, painting, and product design heavily rely on generative AI. It helps musicians, graphic designers, writers, and artists by producing original content. It is used in the business world for concept research, design modifications, and product descriptions.

Generating Text: Business letters and early article drafts are just a few of the subjects on which generative AI may produce readable text. Even employing generative AI to create news pieces is something that some news organizations have tried.

Image Generating: It can mimic freshly painted scenes by creating realistic or strange graphics in response to text queries. But the source of these pictures—which are frequently taken from pre-existing sources—has sparked questions about copyright.

Generating Video: With the use of generative AI, brief videos may be easily produced by automatically assembling textual content.

Producing Music: It is capable of examining a song library and creating original compositions in a certain genre. Exciting outcomes have been achieved when generative AI and human artists collaborate.

Product Design: Using generative AI to propose alternative designs and speed up the creative process is a great tool for product designers.

Personalisation: Product recommendations, customized information, and distinctive personalisation are provided at a rate never seen before, improving user experiences.

Additionally, generative AI acts as a mentor for people just entering the workforce, helping with career planning, interview techniques, professional correspondence, and resume writing.

Knowledge of AI

Conversely, artificial intelligence (AI) is a more comprehensive term that refers to systems and software intended to emulate or even exceed human intelligence. Artificial intelligence (AI)-driven computers are designed to do intricate jobs, evaluate vast volumes of data, and make judgments quickly.

Recognition of Patterns

Large datasets are a great place for AI to find trends. For quick computation, it makes use of specialized GPU processors, and some systems even use predictive analytics to forecast how these patterns might affect the future.

Improvement of Judgment

Businesses can greatly benefit from AI in terms of improved decision-making. In addition to seeing possible risks and opening doors for growth, it also suggests products and enhances customer support. With recommendations from both AI and humans, it can also serve as an extra advisor for CEOs.

Enhanced Analytics of Data

AI provides faster and more accurate data analytics, elevating the field. It enhances business operations quickly, which produces better results and competitive advantages.

Uses for AI

AI is being applied in many different fields; some of the most important use cases are as follows:

Automation: AI streamlines complicated activities by automating them, making network configuration, device provisioning, and monitoring more effective. Another way to streamline repetitive activities is through robotic process automation.

Speed: AI analyzes data remarkably quickly, utilizing neural networks and machine learning to identify patterns and opportunities almost instantly.

Chat: Chatbots and AI-driven chat have become commonplace applications, enhancing search and customer support features among other things. With time, these systems will only get better, providing more organic dialogues.

Enhanced Security: Artificial Intelligence uses machine learning algorithms to find anomalies in network infrastructure, assisting cybersecurity operations by detecting and mitigating threats automatically.

Opening Doors: The Importance of Having a Certification in Generative AI

To remain current in the rapidly evolving field of artificial intelligence, one must obtain an AI certification. The generative AI course provides students with the information and abilities they need to become certified generative AI experts, which is an important certification that attests to the student's competence in generative AI.

The complexity of generative AI is examined in this course, giving students the opportunity to investigate its creative potential and apply AI algorithms to create original content. With the generative AI expert certification, one can become an efficient prompt engineer in addition to a generative AI expert, which opens up new career options in a variety of industries. In the age of technological upheaval, taking a generative AI course is a smart step to stay ahead of the curve. Generative AI is transforming a variety of industries, from music and art to personalized content development. By bridging the gap between generative AI and AI analytics, this certification enables professionals to integrate analytics and creativity for a prosperous future.

The Difference Between AI and Generative AI

In conclusion, while algorithms are used by both generative AI and AI, their functions are distinct. Generative AI is a disruptive kind of AI because it is a creative force that creates new content by merging preexisting patterns. AI, on the other hand, focuses on activities like automation, decision-making, and data processing and covers a broad range of applications.

While standard AI has cemented itself in enterprises, streamlining procedures and enhancing data analytics, generative AI finds its niche in creative domains and personalisation.

It is anticipated that the applications of AI and generative AI will grow as technology develops, providing fresh approaches to a variety of industries.

The Blockchain Council provides thorough certification courses in AI prompt engineer certification for anyone who are eager in delving into the field of generative AI. The goal of the reputable Blockchain Council is to advance blockchain awareness, use cases, and research and development. It is composed of subject matter experts and enthusiasts. Their educational programs offer significant perspectives on this revolutionary technology, emphasizing its manifold uses and capacity to improve the world.

[101blockchainss]

Get enrolled in 101 Blockchain's latest Generative AI Course. Learn the principles of how genealogical AI works and how to use it in real-world applications. This course will cover all basic to advanced concepts.

[solomiracle]

honestly i don't think any gacha company is above using ai but i really wish yall would stop jumping to conclusions and spreading misinfo when it comes to some obey me art

[sherlock-is-ace]

One thing about me is that if I see someone reblogging AI images, I will let them know 👌🏻

[randomnameless]

Localization discourse has started to rear its head again because of some Funimation localizer defending a line from Dragon Maid but it really got me thinking, I feel like so many people are so quick on demonizing anyone who doesn't like localization changes as pro-GG when it's much more simpler. People don't hate localization changes because of the message itself but rather because it's not what the character is saying 9/10 and it comes off as calculated and cynical. I feel like it's kind of a direct consequence of transformative fandom, with the whole "I'm going to write the story the way I want it to be and fill up the spaces" but instead of a fanfic it's with the original source material.

Pro GG?

What is GG? AI?

I remember this argument of the "it's not what the character is saying" and people being pissed because they couldn't get the "right" script - and tbh, after reading some arguments here and there, localisation always comes with necessary changes/adaptation to the text, let it be grammatically or to convey ideas from a language to another, so if you want a 100% faithful script then... better start to learn the language lol

With Funimation though...

The Shinchan earlier post was telling enough of my opinion about drastic changes that aren't used to transcribe a meaning or convey an idea to a foreign audience, it's just... erasing the source material and swapping your own ideas on them.

Like, uhhh

Funimation acquired the Shin-chan US license in 2005. Funimation's dub takes many liberties with the source material and was heavily Americanized. Many sexual references, dark humor, and references to then-current popular American culture were added, including many jokes about subjects such as Jews, terrorism, and Viagra. Characters were given significantly different personalities and new, previously non-existent backstories. For instance, Shin is refused an allowance, on he basis that he could use it to buy drugs (crystal meth), his schoolmate Kazama ('Georgie Herbert Walker Prescott III' in this dub) was an absurdly hawkish ultra-conservative Republican, the unseen father of Nene (known in the dub as "Penny") was suggested to be physically abusive towards both his wife and daughter, Principal Enchou was rewritten as a half Romani, half Peruvian man with a complicated, checkered backstory that includes a stint as an accident-prone magician, The kids' teacher: Yoshinaga-sensei (known in the dub as "Miss Polly"), was rewritten as a kinky and often domineering nymphomaniac,

The earlier Vitello and Phuuz dub also edited some jokes and/or what was considered indecent exposure like shin's buttocks and tried to "occidentalise" a few references, but it wasn't like straight up changing what a character is or their personality!

No doubts funimation was "authorised" by whoever had the rights of the franchise to lolcalise and edit it as they did but it just comes out as a "why did they rewrite that stuff like they did", to make more money, to make another "mature cartoon" like Family Guy expy, idk.

And to be honest... I don't really care, because I grew up with the Vitello Dub and read some manga chapters of Shin-chan, so I know what the manga/anime (sure, the dog wasn't named lucky but shiro!) is supposed to say and/or be about.

I don't agree when you say those "lololcalisations" are a consequence of the transformative fandom in general, transformative works have existed since... forever lol (some dude wrote in the early middle ages (grégoire de Tours?) how Franks are descendans of Achilles or something to explain how kickass his king and his people are like, at this point, he's writing a self-insert OC story, right?)

But in modern times, there used to be a clear (?) divide between what was transformative work and what was canon - 50 Shades of Grey sort of started as a Twilight fanfic, but it became its own thing and no calls it a Twilight adaptation or "Twilight" anymore.

The Aeneid? Despite what devoted fans wants the world to believe, is "just" a fanfiction, aka someone writing about the characters he """loves""" no matter how OOC they are. It's a Fodlan fanfic and treated as such. Or should lol.

Still, if in a fanfic, Flayn can apologise for being born as a lizard because having lizard blood means she's automatically evil and oppresses humanity due to the fact she exists, it's only a fanfic. It's not something I like, OOC as fuck, but okay, moving on. Rhea eating ketchup is my own hc, also OOC since we don't see her eating any in the games, same thing - but fanfics are OOC by essence because they're a transformative work !

As I said, okay, moving on.

But when what is supposed to be as close as "canon", albeit translated, dips in the same "OOC" territory?

Sure, Eng!Raphael will say "I" instead of "ore" to refer to himself - and yet, imo, if professional localisers (at least the people picked by the company to bring games to an international audience!) have some sort of leeway with canon, their work is inherently transformative - since they're localising -they are still bound by some rules, unlike a fanfic author, because the aim of their work is not the same.

When you write a fanfic, you write it for yourself, to tell the story you want.

Of course it depends, like the funi shin chan dub showed, but usually, I think, when you are a professional localising something (a manga, anime, book, tv series, myth, story, anything!) you are supposed to only bring "necessary" changes to the source material to bring this source material to the "targeted audience".

And it's kind of hard to determine at what point is a "change" necessary or not - back in the 2000, "Jonouchi" had to be changed in "Joey" because, supposedly, non japanese children wouldn't be able to understand/connect/watch/idk a show with a foreign name (even here in France, we got "Petit Coeur" aka Small/Little Heart for... Piccolo in the early 90s!) - but now in the 2020s Midorima isn't dubbed "Mike".

(even if 2013 saw a localised Fates edit "Suzukaze" to "Kaze" for reasons as foggy as Fodlan's 10k years of lore)

And we of course have the notion of "targeted audience" - here in France, in the 90s, basically any "animated cartoon" was supposed to be targeted for children, like 3 to 10 years old. Which is the reason why we got lunar dubs for Hokuto no Ken and City Hunter (no "brothels", but instead, "vegetarian restaurants"!).

Yugioh was dubbed for a younger audience than, I guess, what was the targeted audience for the manga (even the original anime, regardless of the dub or not, feels like it was made for younger "children" than the ones who would read the manga!).

And this is where I wanted to come with the modern "transform the source material!" lolcalisations - are they "heavily" edited because they target a specific audience?

Like... the funimation Shinchan dub was obviously not aimed at children the manga, or even the original anime, hell even the Vitello dub, were targeting.

It's almost as if we're not talking about "bringing this definite thing to random people", but "finding/tweaking random things to definite people".

Take Fodlan's lolcalisation, especially Treehouse/Pat's.

NoA was the only regional branch to have, on the official website, something like "the Church controls Fodlan".

Through the 4 (already 4!) years of coverage, some people are still finding dub exclusive lines that portray the CoS as "BaD" or in a more negative light than the original text. Pat completely missed (or was it on purpose?) Rhea's character, so Leigh had to dub Rhage, when Supreme Leader was scrubbed off her most, uh, dubious personality traits (tfw no information campaign anymore :( or calling Rhea a Nabatean as an insult :()

Why? Why those changes? Is it because Pat/Treehouse didn't want to bring the game to the US, but wanted to bring this game to the "Dany revolution yas slay kween" crowd + the "organised religion especially catholicism BaD" crowd? Or because they thought bringing "a game" to this crowd would bring more money than to bring "Fire Emblem Three Houses" to the general US crowd? So they "reworked" FE16 to have messages that would attract this certain crowd ?

(and apparently it worked, iirc the US sales made up for 50% of FE16's sales, so it was very popular (and profitable!!))

The Pat/Treehouse changes weren't "necessary" to understand the source material, or try to find similar references (a trip to a hot spring in Shinchan was replaced with a trip to Paris, because children who might not be familiar with japan might not know what is a hot spring, or what a "trip to the hot spring" is supposed to be), so why were they made?

Is it like the Funimation dub? To reach specific people, even if the meaning and essence of the original material is lost?

In a nutshell, I don't think localisation companies (Treehouse or Funi) work in a vaccum, if they can lolcalise so much, it obviously means they got the authorisation of whoever has the rights to the original source material (maybe even the creator themselves!) to "edit" the content...

But that's what I came to regret the time where localisation, even if they had westernised names and more westernised refs, wasn't that "free", as in, Funi and Pat/Treehouse write their fanfic of Shinchan/FE16 ? Sure, why not, I mean, everyone can write a fanfic. Can I get a peak at the original source - edited as necessary because i'm not reading in the original language and I might not catch all references - please? No, because the only thing available is either something I cannot understand, or a fanfiction that takes liberties, as fanfic do, with canon.

Take Shinchan.

OG : Shin is a preschooler who has a dog named Shiro - meaning white - because his dog is white.

Vitello dub : Shin is a preschooler who has a dog named Lucky.

Funi dub : Shin wants an allowance but his parents are afraid he will buy meth and he has a dog named Lucky.

Remove the "old school" Vitello dub, and either Shin is a preschooler who named his dog "white" because the dog is white, or Shin is... a young child who receives money but lives in an area where he could buy drugs.

I can't understand the OG material, and I know the Funi one is a fanfiction, so what should I do? Treat this fanfic as canon, or, learn the language/try to understand the material by myself using dubious tools like translating apps? Or am I cursed to forever miss on Shinchan, even in the 2000s, aka an era where people can translate and localise movies from one language to another, but apparently for this one manga/anime, it's not possible unless it's lolcalised? Snowhite was turned into "Blanche-Neige" but the story is mostly the same than the one told in the US, but for Shinchan, I can only get the "Family Guy" version that isn't told in Japan?

I remember there was a controversy about localisation (when the thing that sparked that controversy wasn't even localisation related!) where some people, annoyed with the "liberties" they have with their dub version, became intense and rude and want to see localisers as "mere" translators...

And it escalated to have some localisers basically saying a game they localised is "their take" on a story - which is true, because each translation/localisation works with the bias of the translator/localiser, even if they try to be as neutral as possible, they can't completely remove themselves from their work -

Still, in FE16, Pat'n'Treehouse removed the "Supreme Leader uses propaganda" mention. Why? Is it their bias talking, they don't want her to "look bad"? But the script, the game wants the player to know she uses "information campaigns". Pat's "take" is she doesn't use it, but as a player, can't I be offered the choice to make my own take after seeing the script that mentions it, or not? Is Pat the one who directed the script, and wrote it as the "main thread" that links everything in the game (regardless of Fodlan's consistency lol), or was it Kusakihara/someone else?

If pat arbitrarly "removes" this part of the script, but I see it because I play in Japanese/Chinese/Korean/heck maybe other languages whose dub wasn't overseen by Pat, can it be said I played the same game as the players who played with the Pat dub/script?

Pat's CF!Felix calls Dimitri a monster, OG CF!Felix calls him a man -> thankfully we can count on fans to find stuff like this out but, again, why this bias against Dimitri in CF - that comes here from the lolcalisation, and not from the original text?

Why is it there? What if someone wants to play, and hopefully, understand, not Pat's "take" on their relationship in CF, but the writers/developer's? Is that someone fucked, or kindly asked to learn japanese (aka to do Pat'n'Treehouse's job?).

I don't really have The Perfect Solution (tm) anon to the general localisation discourse, at one point I was on the "just translate" fence, but when you understand a pun or a reference, and how it connects to something else, the game/book/anime/movie you're watching takes another level and it's much more enjoyable!

And yet, growing up with 4Kids and seeing shit like Treehouse butchering stuff, or hearing about Funimation Shinchan is... disheartening.

The only thing I can say is I'll always be rooting for dual audio, let it be for preferences but also to get at least what is easily understandable to everyone (I mean intonations, shocks, laughs, etc etc) and a glimpse at what the game/moving/anime is supposed to be enjoyed, especially with story heavy scripts like the FE series - while reading subs, because even the script is translated/localised, at least with the audio, it's easier to spot "lolcalisations".

And let's not forget the most important lol

The Fandom itself!

Let it be for FE, Tales or anything else, what I find fascinating (on Tumblr but even on redshit and SF once upon a time!) is how fans will be able to compare scripts, people familiar/fluent/who know a language will be able to spot the changes, and inform anyone who wants to be informed in the community that, say, Xander and Marx are pretty different characters, just like Jp!Effie and "I love to eat"!Effie.

Of course sometimes there will be misinformation (remember the Dimitri is rude because he uses the omae pronoun?), but I still find fascinating how, faced with ridiculous lolcalisations, fandom itself - aka part of the people who were supposed to be the targets of said lolcalisation - tries to "correct" and remove the unecessary edits. There are still people who dgaf about what was lolcalised from what wasn't, but even if it's just a consequence of the lolcalisation growing more and more unrestrained/unchained to the source material - it makes fandom engagment all the more precious and fascinating.

Like, you have real people basically combing the script and/or providing a translation - for free! - to help other fans, when some lolcalisers are paid to... edit and "lolcalise" the script some fans want to see.

And so, we're back to square 1 : who is the targeted audience of Funi's Shinchan or FE Treehouse?

The players/watchers?

FE Fates was, I suppose, ultimately lolcalised for a """western"" audience", aka an US one because no one gives a fuck about the rest of the world - and yet, assuming a majority of fans are from the US, said lolcalisation was mocked/ridiculed and ultimateld decried by part of that audience from who the game was lolcalised.

Some people (I've seen a redshit post about it today!) claim the lolcalised changed aren't made for the audience, but, much like a fanfiction, those changed weren't made to be more palatable to an audience, but were made for themselves - aka to push some agenda (see redshit's theory about funi pushing a "woke" agenda in their dubs and subs when it doesn't exist in the og scripts).

And to be fair, with FE16's US exclusive "Church BaD and controls the world!!!" + "Dimtri is not a man but a monster!", idk what Treehouse was trying to do, push their "organised religions BaD" agenda and "Supreme Leader is right so let's make her opponents BaD to highlight how right she is" bias? - but I can't help but wonder if it was indeed the case, and given how Pat sucked as a voice director, if the localised!version wasn't just some sort of trolley Treehouse used to convey their ideas, regardless of what the game wanted to say.

I mean, it's still fascinating, to this day, nearly 5 years after the release of the game, that we still find "Treehouse exclusive" lines, or how FEH who's still running, also has "Treehouse exclusive" lines for Fodlan characters that absolutely don't match the non global, aka, jp lines, let them be written or spoken - putting on the tinfoil hat, I wonder if Treehouse or whoever oversees the localisation isn't deadly afraid that if they don't pay extreme attention and/or rewrite anything related to Fodlan, global!players will realise that they were fed "Pat's Fire Emblem Treehouse", instead of FE16, thus takes extra care to comb and/or rewritte every line/dialogue that could make a global player think twice and note that this thing they're reading/hearing of in FEH (or even Engage!! See Dimitri's lolcalised line about people of different races living together!) is completely different from "Pat's Fire Emblem Treehouse".

Tl;Dr because I ranted and disgressed and idk where am I anymore with this post lol :

I think there's a difference between fandom's transformative works - done for fun, as a hobby! - and some lolcaliser's transformative works - they're paid for that and aren't supposed to bring a fanfiction to the audience, at least not as localisers ; so I wouldn't blame "fandom" for the fuckery that happened (Funi's shinchan is more than 17 years old!) and is sadly still happening.

On the contrary, given how fandom (at least some part of it) actively refuses to accept the lolcalised "fanfiction" - to the point of doing translation work! - I think fandom is the reason why this discourse is happening.