#if they wanted to implement an ai to assist artists

[genericpuff]

I followed artsangel since her previous comic immaterial. I have to say she IS talented and has the skills. But her style is verrrrry time consuming and she would only update every 2 weeks. I used to study her art a lot because I was always impressed by it, and Im fairly certain it did not look like like that when it was on canvas. I used to see her progresses on her stories and she uses a lot of assets and predrawn faces to keep her consistent pixar look. The faces were less uncanny and more expressive. Now the eyes are all wonky and displaced.

I think she may have used ai to polish her panels. Perhaps the workload proved too much, or maybe she was feeling insecure. I was concerned when she got picked up by webtoon because I could tell it would be difficult for her to keep up the schedule. Ai is super powerful but its not powerful enough to make a COMIC, not even consistently. She probably using it as an enhancer to her already great skills. A shame though, she doesn’t need it.

Also I think the reason her preproduction period was so quick is because she was highly prepared before launch. She already has multiple comics under her belt and webtoon probably didn’t need to change much. Im sure she just reused her canvas comic for her reboot and built a buffer in the meantime.

Having to meet deadlines can definitely be a reason but not an excuse IMO.

One creator I can think of who has a similar style (albeit in black and grey) is figmentforms, creator of A Tale of Two Rulers.

Updates are slow, she posts maybe a new page once a month, the art is gorgeous but it's clear it takes her time. It's a free to read comic. It's worth the wait.

That said, if she wanted to make her updates more frequent, I wouldn't blame her at all for utilizing new tools and methods to do so - but it wouldn't justify her in using AI tools that are stealing other people's art.

There are loads of shortcuts that artists already use that are fine because they're still genuinely handcrafted. 3D models, overlay textures, blur effects, etc. are all tools that artists use to help speed up the drawing process and were made by hand.

And beyond that, the need to make the process more efficient isn't a crime, but it's in how you do it. You can use these tools irresponsibly or at the cost of your own comic's quality. Case in point, Lore Olympus and Let's Play, which are both godawful in how they implement 3D backgrounds and stock images:

Creating comics is finding a balance between efficiency and quality, not sacrificing one for the other and using it as justification to avoid criticism for that sacrifice.

If Sarah Ellerton was using AI based on her own art and being honest about it, I don't think anyone would be nearly as upset. It might prompt a debate over what's ethical in the world of comics - whether or not it's right for consumers to pay for a product that's being churned out of an AI prompt - but at least it wouldn't be theft and it would probably just be there as an aid to an artist who's been doing this for 20 years and had to find a way to make the process more efficient. I think AI can be used as a productive tool if it's implemented responsibly and without being at the cost of another artist's work.

The issue is that 1.) Sarah is being VERY suspicious over the whole thing which leads us to believe that she's NOT using ethical AI assistance, and 2.) there's a VERY clear distinction near the end of her previous comic, Immaterial, where you can basically tell when she adopted AI. The main character Alex, for example, literally became a whole other person.

This is a common problem for AI coloring prompts, a LOT of them are bad at rendering darker skin tones (I think I mentioned this in my last post, but I literally got to playtest AI coloring tools from WT's a couple years ago, and they could NOT figure out darker skin tones, any dark colors that were put down were assumed to be shadows so characters just looked like white characters with the curtains pulled over their face).

She just looks like a SamDoesArts poster girl now. Everything unique about her has been stripped away and you can see this transition in the final page of Immaterial and the first episode of Quantum Entanglement:

None of it feels like organically her, it feels like a cheap machine reproduction.

I don't doubt that this person has evolved a lot as an artist or that her older work was genuinely her, she's clearly got a lot of skill that only someone who's been drawing comics for years would gain.

But it's clear somewhere along the way she succumbed to insecurity or stopped caring enough to start using AI to do the heavy lifting. I mean honestly, her work from before was fine! So I don't see why she would be using it for 'polishing', there are so many ugly ass webtoons on the platform so even the art from Immaterial - even if she had to simplify it a bit more to make it easier to meet deadlines - would likely be a refreshing change of pace.

But the way she's utilized AI here, I was quicker to assume Sam Yang drew Quantum Entanglement when I first saw it.

And it is a shame, because, as you said, she doesn't need it. Her art is perfectly capable on its own and while I can understand her need to make the process more efficient, there are better ways to do that than using AI that's clearly ripping off other artists and then lying about it. It's a shame she'd put her reputation on the line as a seasoned artist just to meet Webtoons' stupid deadlines. Like, how can it be worth it?

[raymondshieldsofficial]

was talking with my parents about AI today and they had some genuinely really interesting perspectives on it

my mum is an oncology pharmacist and said that AI could be really useful for analysing test results and identifying potentially cancerous tumours in patients’ scans. essentially, it could highlight areas that the oncologist looking over the results may want to focus on. but they’d never leave it up to AI to diagnose the patient (ignoring that this would likely lead to biopsies and further tests, etc)

my dad is a software engineer. he’s 61 and wrote his dissertation on a typewriter because word processors either weren’t invented or not common enough that a university student could have one. he’s worked with computers pretty much since they were invented (in the modern sense). he put some code he was working on into the AI at his work just to see how good it was. it pulled up one line of code, that was abnormal for a specific reason that helped it to do what it needed to do. he told it the reason and apparently the AI was like “oh yeah.” and ran another analysis and the code was fine. which he knew because coding chips for household appliances is relatively simple compared to working on the Opportunity rover. but he still checked it over because he’s an old tech guy and will die before he has a “smart” appliance. real.

my point is, that they both used AI for things that actively helped their jobs. it could help increase the productivity of oncologists, in my mum’s case, and if you know anything about cancer you know that time is of the essence. in my dad’s case, it potentially could have highlighted a potential error that needed to be fixed before the code was sent off for second testing or whatever the fuck- I don’t know, I used to work in oncology myself but never in tech. but it could’ve saved him embarrassment and also several weeks of crashing out over broken code, which has happened in the past. he’s on first name terms with the guy who runs the test branch in Vietnam now. but my point is, no one took AI’s answer for granted. they used it and analysed it. there is not ever going to be a world where an oncologist will look at an AI result and feed back to a patient without fully analysing it, using AI as an assist if that.

my current job is in corporate and they’re desperately pushing for us to use it more - for emails, customer communications, etc, because it’s “quicker”.

another thing about my parents is that they’re both artists. my mum is a traditional artist and my dad is a photographer. they’ve both won awards. I’m an aspiring writer. one thing we all agreed on is that AI needs to stay the fuck out of creative industries. when I push to publish, I am going to have a clause in my contract that AI cannot be used in any capacity relating to my work.

I am currently the reason our area manager has to ban discussing the morals of AI every time he mentions the implementation in meetings.

AI could be brilliant for the medical field. it could stop stupid errors going through in the tech field. but it needs human oversight.

[ozzgin]

hope this doesn't come off as rude, but do you condone the usage of ai art? because I noticed you use ai art for quite a few of your post headers ^^;

No worries, it's a reasonable question, although a rather complex one! There are multiple layers that I would like to go through when answering you.

Do I condone the use of AI as a replacement for actual art? Obviously not. I enjoy drawing, and I enjoy collecting art. This won't change regardless of technology. The reality, however, is that generative AI will continue to develop, whether we like it or not. So, you know, instead of denying its existence, I would prefer to openly discuss it and have it regulated by laws and ethical conducts. For example, laws that would protect artists from being laid off in favor of one single AI engineer. Or laws that would limit the profit companies can make using undisclosed AI. Basically, making sure that this new technology serves the people instead or rendering them useless.

Do I condone the use of AI for individual use? Depends. My opinion is that non-profit, entertainment purposes are not the root of the problem. Someone generating a funny image of a cat is not the equivalent of someone generating hundreds of images a day. Those terrible environmental statistics you see online are mostly targeted at this kind of business usage. If you were to go on Instagram, for example, you would find a lot of accounts who publish vast amounts of AI works, often omitting this fact. Some sell merch, advice, or - if they are honest about their methods - courses and books on prompts and AI imagery. It's an actual thing. Does it take visibility away from actual artists? Absolutely. Even worse, it leads to a lot of doubt, where artists must prove themselves against accusatory claims. Again, I believe the solution is not to ignore progress or demand it stops, but to find concrete measures and implement them.

I use AI images for story headers, strictly for decorative purposes. If I want to express something visually, I will draw it myself. I do not have the time nor resources to draw every single picture I want to use on my hobby blog. Whoever disagrees with it is free to pay me a full employee salary. Mind you, on that note, I've seen a lot of people mentioning Pinterest and similar as open sources for pictures. They are not free repositories to just grab whatever you want. That photograph of a foggy forest was taken by someone and requires crediting. That unspecified manga panel was drawn by someone and requires crediting. 90% of the images I see here have no source or credit. I find it terribly hypocritical to parade as a supporter of human arts while conveniently ignoring every case where said human art is stolen, modified or uncredited.

Lastly, do I condone the use of AI by artists? This is an interesting topic, and a recent case immediately comes to mind: a well-established artist I've been following for over a decade has alluded to potentially training AI to replicate their art in the future. It's their way of easing their workload. Is it any different from comic artists using filtered photos to skip drawing backgrounds, for example? Is it any different from commission artists pre-drawing body parts and objects as brushes and stamps, so they can skip a lot of the drawing process? I am not a professional artist, nor do I require the use of this sort of assistance, but I cannot help but wonder: how many of the individuals who had a meltdown over this suggestion have actually paid or tipped an artist in their life? How many of them regularly call out stolen content? How many are mindful about the content they share/distribute/save, making sure it involves given permissions and fulfills ethical standards? I'm not necessarily calling people out; rather, I'm saying that the outrage is misdirected and untargeted.

I don't have a concrete conclusion to the last paragraph. It's a novel dilemma, a gray area with a lot of factors involved. At least to me. I wanted to include it in the conversation to show that generative AI and its implications are rapidly changing and expanding, so it's difficult to encapsulate it all in one definite opinion. All I can tell you is that my appreciation for human art has not changed, and I will continue to support it. :)

[vague-humanoid]

The ongoing harms of AI

In the early days of the chatbot hype, OpenAI CEO Sam Altman was making a lot of promises about what large language models (LLMs) would mean for the future of human society. In Altman’s vision, our doctors and teachers would become chatbots and eventually everyone would have their own tailored AI assistant to help with whatever they needed. It wasn’t hard to see what that could mean for people’s jobs, if his predictions were true. The problem for Altman is that those claims were pure fantasy.

Over the 20 months that have passed since, it’s become undeniably clear that LLMs have limitations many companies do not want to acknowledge, as that might torpedo the hype keeping their executives relevant and their corporate valuations sky high. The problem of false information, often deceptively termed “hallucinations,” cannot be effectively tackled and the notion that the technologies will continue getting infinitely better with more and more data has been called into question by the minimal improvements new AI models have been able to deliver.

However, once the AI bubble bursts, that doesn’t mean chatbots and image generators will be relegated to the trash bin of history. Rather, there will be a reassessment of where it makes sense to implement them, and if attention moves on too fast, they may be able to do that with minimal pushback. The challenge visual artists and video game workers are already finding with employers making use of generative AI to worsen the labor conditions in their industries may become entrenched, especially if artists fail in their lawsuits against AI companies for training on their work without permission. But it could be far worse than that.

Microsoft is already partnering with Palantir to feed generative AI into militaries and intelligence agencies, while governments around the world are looking at how they can implement generative AI to reduce the cost of service delivery, often without effective consideration of the potential harms that can come of relying on tools that are well known to output false information. This is a problem Resisting AI author Dan McQuillan has pointed to as a key reason why we must push back against these technologies. There are already countless examples of algorithmic systems have been used to harm welfare recipients, childcare benefit applicants, immigrants, and other vulnerable groups. We risk a repetition, if not an intensification, of those harmful outcomes.

When the AI bubble bursts, investors will lose money, companies will close, and workers will lose jobs. Those developments will be splashed across the front pages of major media organizations and will receive countless hours of public discussion. But it’s those lasting harms that will be harder to immediately recognize, and that could fade as the focus moves on to whatever Silicon Valley places starts pushing as the foundation of its next investment cycle.

All the benefits Altman and his fellow AI boosters promised will fade, just as did the promises of the gig economy, the metaverse, the crypto industry, and countless others. But the harmful uses of the technology will stick around, unless concerted action is taken to stop those use cases from lingering long after the bubble bursts.

[finthetin-witch]

Pride Month 2025?

All sources will be linked at the end of this post.

Hello everybody who is in support of the LGBTQ+ community! How are you all doing today? I hope that you are all doing well! So, this is a little bit of a different post; meaning that it is not specifically about witchcraft or sigil making or anything like that… But it is about another community that I, myself, am in and that many other people are in as well—the LGBTQ+ community. It is understood that the American LGBTQ+ community is in dire need of aid. With the current president, things have taken a huge turn for the worst.

I read an article by Jo Yurcaba, a journalist for NBC Out on how the Federal Agency has axed an LGBTQ+ festival’s funding because the festival does not align with Donald Trump’s priorities.

The festival in question is the Criminal Queerness Festival, which is ran by The National Queer Theater and is based in Brooklyn. Back in December of 2024, the theater had received, for the third year in a row, a $20,000.00 grant from the National Endowment for the Arts (NEA). This grant makes up a good 20% of the theater’s budget, and the NEA recently emailed the theater to let them know that they’ll be taking back the grant.

This came after new policy changes and after old leadership within the NEA stepping down. The policy changes are now aligned with (as per the NEA) the reflection of the country’s “rich artistic heritage and creativity as prioritized by the President.”

The email then went on to state what it now will prioritize for giving grants to as projects that “elevate the Nation’s HBCUs and Hispanic Serving Institutions, celebrate the 250th anniversary of American independence, foster AI competency, empower houses of worship to serve communities, assist with disaster recovery, foster skilled trade jobs, make America healthy again, support the military and veterans, support Tribal communities, make the District of Columbia safe and beautiful, and support the economic development of Asian American communities.”

But there is a GoFundMe for the theater to accumulate the funds for the production that is scheduled for 06/11–06/28/2025.

I’m saying all of this because, as a person in the LGBTQ+ community myself, I do not ever want to see the day that me, or my family, or my friends, cannot be represented in the entire continent of North America. I want—I need this country to be a safer place for the most important person in my life, who is my little cousin; to freely express herself however she sees it fit.

I am by no means saying that you need to donate if you do not have the funds to do so; but rebloging this is completely free. It costs you nothing; and I mean nothing.

I know this particular instance may seem a little on the smaller side; but the Trump administration has axed more than $125M for our health funding research, the Supreme Court has also allowed Donald Trump to implement a transgender military ban—there’s just so much happening; and none of it is good.

This instance is one where I think we as a community on Tumblr can agree that we can help with right now. Please reblog and spread the word.

[aihustlegenius]

How to Start a Profitable AI-Powered Etsy Shop

Did you know that Etsy sellers who leverage AI tools can increase their sales by up to 30%? That’s not just a number; it’s a game-changer for anyone looking to start a profitable Etsy shop. If you’re ready to dive into the world of AI-powered creativity, buckle up! We’re about to explore how to turn your artistic flair into a thriving business. Understanding the AI Advantage AI isn’t just for tech giants anymore. It’s your new best friend in the Etsy marketplace. Think of AI as your personal assistant, tirelessly working behind the scenes. Here’s how it can help: Market Research: AI tools can analyze trends and customer preferences. This means you can create products that people actually want. SEO Optimization: Use AI to find the best keywords for your listings. This boosts your visibility and attracts more buyers. Design Assistance: AI can help generate unique designs or suggest color palettes that resonate with your target audience. Choosing Your Niche Wisely Finding the right niche is like picking the perfect avocado—too hard, and it’s not ready; too soft, and it’s overripe. You want that sweet spot! Here’s how to find it: Passion Meets Demand: Choose something you love but also check if there’s a market for it. Use tools like Google Trends to gauge interest. Analyze Competitors: Look at successful shops in your niche. What are they doing right? What gaps can you fill? Test the Waters: Start with a small batch of products. See what sells before going all in. start a high job ai job Creating Stunning Listings Your product listings are your storefront. Make them shine! Here’s how: High-Quality Photos: Invest in good photography. Use natural light and showcase your products from multiple angles. Compelling Descriptions: Write engaging descriptions that tell a story. Highlight the benefits and unique features of your products. SEO-Friendly Titles: Use relevant keywords in your titles. This helps your products show up in search results. Leveraging AI Tools for Marketing Marketing can feel like shouting into a void. But with AI, you can target your audience more effectively. Here’s how: Social Media Automation: Use AI tools to schedule posts and analyze engagement. This saves time and maximizes reach. Email Marketing: AI can help segment your audience and personalize emails. This increases open rates and conversions. Ad Targeting: Use AI to optimize your ad spend. It can analyze which demographics respond best to your products. Customer Engagement and Retention Once you have customers, keeping them is key. Think of it as nurturing a plant; it needs care to thrive. Here’s how to engage your customers: Personalized Communication: Use AI to send personalized messages based on customer behavior. This makes them feel valued. Feedback Loops: Encourage reviews and feedback. Use AI to analyze this data for continuous improvement. Loyalty Programs: Implement AI-driven loyalty programs that reward repeat customers. This keeps them coming back for more. Scaling Your Business with AI Once you’ve got the basics down, it’s time to scale. Think of it as upgrading from a bicycle to a motorcycle. Here’s how to rev up your business: Inventory Management: Use AI tools to predict demand and manage inventory efficiently. This reduces waste and maximizes profits. Outsource Production: Consider using print-on-demand services or outsourcing production to keep up with demand without overextending yourself. Expand Your Product Line: Use AI insights to identify new product opportunities based on customer preferences. Final Thoughts Starting a profitable AI-powered Etsy shop is not just a dream; it’s a tangible goal. By leveraging AI tools, choosing the right niche, and engaging with your customers, you can create a thriving business. Remember, the key is to stay adaptable and keep learning. The Etsy marketplace is ever-evolving, and so should you! via https://ift.tt/546VwJj

[canadianlucifer]

I just wanna give my two cents on AI since everyone is talking about it again and honestly, AI has a lot of good uses!

AI is what powers characters in video games, it's able to analyze large amounts of data for healthcare or finances, it's able to improve translation of languages, and a lot more. When used properly, AI has plenty of benefits!

The problem is generative AI using content stolen from those who did not consent.

Generating visual art based off artist who work hard to produce their art, singers and voice actors who train their voices being made to sing or say something they didn't, and famous personalities as chatbots. That is what is terrible. It's not only stealing work away from them but trivializing it too.

AI is completely unregulated right now, anyone can use it to do just about anything, and it's completely unethical. What we need is regulations, rules against what can and cannot be made with AI. Ways to differentiate AI generated content from real work a real person put effort into.

I'll be honest and say it proudly: I use AI very often! Synthesizer V is a program I use to make music, like Vocaloid, and it makes use of AI. The difference between SynthV and some "make spongebob sing old town road!" program is:

Everyone who's voice is involved were paid to have it be used

Worked directly with the developers and consented to their voice being recorded for this purpose

And it requires significant effort and practice on the part of the end user to produce something.

I've been practising for ages and I'm nowhere near decent because the AI implemented in it isn't some crutch, it's something that allows for more human creativity! The AI helps make the voice sound more how I want it, but can also convert say, an english voice into spanish! Voice banks usually only come in one language, maybe two, and if you want a song where the vocalist switches languages for a few words or maybe you can't afford to buy another voice bank in a different language or maybe you just really like one's voice over another, it's as simple as flipping a switch! Cross lingual synthesis isn't perfect of course, but it's a lot better than struggling to twist phonemes from one language into another. And that feature is thanks to ethical AI!

AI isn't completely good or completely bad, it's a broad and complex topic. AI generating soulless "art"? Objectively bad. AI assisting artists reach new heights? Very good! Honestly I think the biggest problem is labelling everything that is AI as AI. It's vague and doesn't accurately describe what it does. Artificial intelligence, when I think of it, is a computer that is able to form it's own thoughts separate from any training data. That obviously doesn't exist yet, and what we currently call AI is nothing more than a complex algorithm.

I'm no expert in AI, I haven't got the slightest clue how it works, but I hesitate to denounce all AI when it does have many positives to it. Many negatives too, but everything is some shade of grey.

In short: get explicit consent from artists and compensate them.

[makemusiconline-ampedstudio]

AI in Music

The possibilities of AI-powered music have been murmuring beneath the surface of the music industry for years, but it wasn’t until the release of ChatGPT in 2022 that the broader conversation around AI began to spread into the mainstream. We’re at a point now where some musicians and music industry professionals are fascinated by the possibilities of AI-powered music, while others are wary of the unknown, especially when regulation is still in its infancy. A study by music distribution company Ditto found that nearly 60 percent of artists surveyed say they use AI in their music projects, while 28 percent say they wouldn’t use AI for music purposes. Christopher Wears, associate chair of the music business/management department at Berklee College of Music, is a proponent of AI music technology. He even wrote a master’s thesis on why Warner Music should invest in AI, back in 2016 (spoiler alert: they did, along with every other major label). Wares has introduced AI into his courses at Berklee and has seen mixed reactions from students. “Some of my students love AI and are already using it in different ways, while others want nothing to do with it,” Wares says. “There’s a lot of heated debate in the conversations, and I try to encourage my students to embrace the technology and find new ways to use it to improve their creative processes.” Another course author and instructor with a similar mindset is Ben Camp, an associate professor of songwriting at Berklee College of Music and the author of Songs Unmasked: Techniques and Tips for Songwriting Success . They’ve been fascinated by AI music technology since 2016, after hearing “Daddy’s Car,” one of the first AI pop songs where the AI was trained on The Beatles’ music. The camp also gives its students the opportunity to learn AI in the classroom, as long as they fact-check all the information they learn from ChatGPT or any large language model. “I think everyone has to make their own choice,” says Camp. “I mean, I have friends who still use flip phones because they’re not comfortable with having all their information on their phone. I have friends who still have landlines. So I’m not saying, ‘Hey, everyone, you need to do this.’ But it’s definitely here. It’s not going away. It’s only going to get better.” Whether you’re actively using AI in your music or have some doubts, it’s becoming increasingly clear that AI will play a major role in the music industry in the future. With the expertise of Wares and Camp, we discuss the current state of AI in the music industry, including the tools that are available now.

What is AI Music?

Before we define what AI music means, let’s first define artificial intelligence. Here’s Wares’ definition: “Artificial intelligence is like the intelligence of a computer; it is a technology that enables machines to imitate human thinking or behavior, such as problem solving, learning, or recognizing patterns.” In the context of music, AI technology has reached a point where it can generate, compose, and enhance musical content that was previously performed by humans. AI music can take many forms and types of assistance, from creating an entire song from start to finish, to writing specific aspects of a composition, mixing and mastering a production, voice cloning, and more. We’ll also list some specific AI music tools that can perform these tasks, the capabilities of which have opened up a Pandora’s box of copyright issues.

History

Artificial intelligence has its origins in music, with the problem of transcription: accurately recording a performance into musical notation as it is performed. Père Engramelle's "piano tape" scheme, a mode of automatically recording note times and durations so that they can be easily transcribed into proper musical notation by hand, was first implemented by the German engineers J. F. Unger and J. Holfield in 1752. In 1957, the ILLIAC I (Illinois Automatic Computer) created the "Illiac Suite for String Quartet", a completely computer-generated piece of music. The computer was programmed to perform this task by composer Lejaren Hiller and mathematician Leonard Isaacson. : v–vii  In 1960, Russian researcher Rudolf Zaripov published the world's first paper on algorithmic music composition using the Ural-1 computer. In 1965, inventor Ray Kurzweil developed software that could recognize musical patterns and synthesize new compositions from them. The computer first appeared on the quiz show I've Got a Secret. By 1983, Yamaha's Kansei Music System had gained traction, and a paper on its development was published in 1989. The software used music processing and artificial intelligence techniques to essentially solve the transcription problem for simpler melodies, although higher-level melodies and musical complexities are still considered difficult deep learning problems today, and near-perfect transcription is still a subject of research. In 1997, an artificial intelligence program called Experiments in Musical Intelligence (EMI) outperformed a human composer at the task of composing a piece of music imitating the style of Bach. EMI later became the basis for a more sophisticated algorithm called Emily Howell , named after its creator. In 2002, a group of music researchers at the Sony Computer Science Laboratory in Paris, led by French composer and computer scientist François Pachet, developed Continuator, a unique algorithm capable of restarting a composition after a live musician had stopped. Emily Howell continued to improve music AI by releasing her first album, From Darkness, Light, in 2009. Since then, many more AI works have been published by various groups. In 2010, Iamus became the first AI to create a piece of original modern classical music in its own style: “Iamus' Opus 1”. Located at the University of Malaga (University of Malaga) in Spain, the computer can generate a completely original piece of music in a variety of musical styles. In August 2019, a large dataset of 12,197 MIDI songs, each with their own lyrics and melodies, was created to investigate the feasibility of neurally generating melodies from song lyrics using a deep conditional LSTM-GAN method. With advances in generative AI, models have begun to emerge that can create complete musical compositions (including lyrics) from simple text descriptions. Two notable web applications in this area are Suno AI, which launched in December 2023, and Udio , which followed in April 2024.

Software Applications

ChucK Developed at Princeton University by Ge Wang and Perry Cook, ChucK is a text-based, cross-platform language. By extracting and classifying theoretical techniques it finds in musical pieces, the software is able to synthesize entirely new pieces based on the techniques it has learned. The technology is used by SLOrk (Stanford Laptop Orchestra) and PLOrk (Princeton Laptop Orchestra). Jukebox Jukedeck was a website that allowed people to use artificial intelligence to create original, royalty-free music for use in videos. The team began developing the music-generating technology in 2010, formed a company around it in 2012, and launched the website publicly in 2015. The technology used was initially a rule-based algorithmic composition system, which was later replaced by artificial neural networks. The website has been used to generate over 1 million pieces of music, and brands that have used it have included Coca-Cola, Google, UKTV, and the Natural History Museum in London. In 2019, the company was acquired by ByteDance. Morpheus MorpheuS is a research project by Dorien Herremans and Elaine Chu at Queen Mary University of London, funded by the EU Marie Skłodowska-Curie project. The system uses an optimization approach based on the variable neighborhood search algorithm to transform existing patterned fragments into new fragments with a given level of tonal stress that changes dynamically throughout the fragment. This optimization approach integrates pattern detection techniques to ensure long-term structure and recurring themes in the generated music. Pieces composed by MorpheuS have been performed in concerts both at Stanford and in London. AIVA Founded in February 2016 in Luxembourg, AIVA is a program that produces soundtracks for any type of media. The algorithms behind AIVA are based on deep learning architectures. AIVA has also been used to compose a rock track called On the Edge, as well as a pop tune called Love Sick, in collaboration with singer Taryn Southern for her 2018 album I am AI. Google Purple Google’s Magenta team has published several AI music apps and white papers since their launch in 2016. In 2017, they released the NSynth algorithm and dataset, an open-source hardware musical instrument designed to make it easier for musicians to use the algorithm. The instrument has been used by notable artists like Grimes and YACHT on their albums. In 2018, they released a piano improvisation app called Piano Genie. It was later followed by Magenta Studio, a set of 5 MIDI plugins that allow music producers to develop existing music in their DAW. In 2023, their machine learning team published a technical paper on GitHub describing MusicLM, a proprietary text-to-music generator they had developed. Riffusion Riffusion is a neural network developed by Seth Forsgren and Ike Martiros that generates music using sound patterns rather than audio. It was created as a fine-tuning of Stable Diffusion, an existing open-source model for generating images from text cues in spectrograms. This results in a model that uses text cues to generate image files that can be inverse Fourier transformed and converted to audio files. Although these files are only a few seconds long, the model can also use the latent space between the outputs to interpolate different files together. This is achieved using a functionality of the Stable Diffusion model known as img2img. The resulting music has been described as “de otro mundo” (otherworldly), though it is unlikely to replace human-made music. The model was released on December 15, 2022, and the code is also freely available on GitHub. It is one of many models derived from Stable Diffusion. Riffusion is classified as a subset of AI-based text-to-music generators. In December 2022, Mubert similarly used Stable Diffusion to turn descriptive text into music loops. In January 2023, Google published a paper on its own text-to-music generator called MusicLM. Spike AI Spike AI is an AI-powered audio plugin developed by Spike Stent in collaboration with his son Joshua Stent and friend Henry Ramsey that analyzes tracks and makes recommendations for clarity and other aspects during mixing. Communication is carried out via a chatbot trained on Spike Stent's personal data. The plugin integrates into a digital audio workstation.

Music Applications

Artificial intelligence has the potential to influence the way producers create music by generating track iterations based on cues given by the creator. These cues allow the AI to follow a specific style that the artist is trying to achieve. AI has also been used in music analysis where it has been used for feature extraction, pattern recognition, and music recommendations. Composition Artificial intelligence has had a major impact on the composition sector as it has influenced the ideas of composers/producers and has the potential to make the industry more accessible to newcomers. With its development in music, it has already been used in collaboration with producers. Artists use this software to help generate ideas and identify musical styles by prompting the AI to follow specific requirements that suit their needs. Future impacts of the technology on composition include emulation and fusion of styles, as well as revision and refinement. The development of these types of software can make it easier for newcomers to enter the music industry. Software like ChatGPT was used by producers to perform these tasks, while other software like Ozone11 was used to automate time-consuming and complex tasks like mastering.

Risks and Harm

Musicians, producers, and others have been using non-generative AI tools for years. Cher popularized auto-tune with “Believe” more than a quarter century ago, and countless artists have since used it to “correct” their tone. Record labels use AI to scan social media for unlicensed uses of songs they own, and Shazam works in much the same way when it comes to recognizing audio. Engineers use it to streamline the mixing and mastering process. More recently, Get Back director Peter Jackson used the technology to isolate individual tracks from a mixed recording to reconstruct studio conversations and create a lost Beatles song. But there’s a key difference between these ancillary tools and generative AI apps like Suno and Udio , which can create entire songs from just a few words. All new music AIs work a little differently and continue to evolve, but they generally operate in a similar way to other generative AI tools: they analyze a huge data set and use the patterns found in it to make probabilistic predictions. To do this for audio, developers collect a huge collection of songs (through agreements with license holders and/or by scraping publicly available data without permission) and their associated metadata (artists and song titles, genres, years, descriptions, annotations, anything relevant and available). All of this is usually made possible by low-paid workers in the Global South who annotate this data on a gigantic scale. The developers then prepare this data set for a machine learning model, which is (in short) a vast network of connections, each assigned a numerical “weight.” Humans then “train” the model by teaching it to observe patterns in the data set and providing feedback to the model by scoring its predictions. Based on these patterns, the model can take a short piece of audio or text cue and predict what should happen next, and then what will happen after that, and so on. Developers tweak the weights to generate more listenable and predictable results from the same inputs. AI-powered music generators combine two strands of technology: the musical tools that professionals have been using in studios for decades, and the large language models that allow everyday users to harness their power. Any AI music generator is only as good as the data it’s trained on. These systems require vast amounts of data, and a model trained on a biased dataset will reproduce those biases in its output. Whose voices are included in this huge box of music, and whose are left out? Today’s AI models tend to exclude huge swaths of music, especially from musical traditions that predate recording technology and are of non-Western origin. As currently designed, they’re more likely to produce stereotypical sounds within a genre or style than anything unusual, let alone innovative or interesting. Generative AI systems are prone to mediocrity, but transcendental music is found on the fringes. “What will be lost in human creativity and diversity if musicians start relying on predictive models trained on selective data sets that exclude most of the world’s cultures and languages?” Lauren M.E. Goodlad, chair of Rutgers University’s Critical AI initiative, told me. From a legal perspective, musicians watching AI models learn from their work have the same concerns as the New York Times, Getty, and other publishers and creators who are suing AI companies: the provenance of the data. While some companies are careful to train their models only on licensed data, others use whatever they can get their hands on, arguing that anything in the public domain falls under fair use for this purpose. The RIAA, the dominant music trade body in the US, is now suing Suno and Udio for “copyright infringement… on a massive scale.” (Disclosure: Vox Media is one of several publishers that has signed partnership deals with OpenAI. Our reporting remains editorially independent.) Polls often show that most people disapprove of AI companies copying public data without permission. But while there are a number of high-profile lawsuits on the table, it’s not yet clear how the legal system will affect companies mining all that human creativity without permission, let alone compensate them. If these practices aren’t curbed soon, the least scrupulous players will quickly gain power and the fancy lobbyists and lawyers that come with it. (Callousness: It’s not just for machines!) These issues are pressing now because they become harder to solve over time, and some in the field are pushing back. Ed Newton-Rex was vice president of audio at Stability AI when it launched Stable Audio , an AI-powered music and sound generator, last fall. He left the company just a couple of months later over its stance on data collection: Newton-Rex’s team trained Stable Audio only on licensed data, but the company’s leadership filed a public comment with the U.S. Copyright Office that the AI development was “an acceptable, transformative, and socially beneficial use of existing content protected by fair use.” To combat unlicensed scraping, Newton-Rex founded Fairly Trained , which verifies and certifies datasets used by AI companies. For now, the nonprofit can only certify whether the content in a company’s dataset has been properly licensed. Someday, it will be able to take into account finer details (like whether the artist explicitly consented to such use or simply did not opt out) and other issues like mitigating bias. As a musician and composer of choral and piano music, he sees this as a turning point for the field. “Generative AI models are usually competing with their training data,” Newton-Rex said. “Honestly, people only have a limited amount of time to listen to music. There’s a limited pool of royalties. And so the more music that’s created through these systems, the less that goes to human musicians.” As FTC Chairwoman Lina Khan noted last month, if a person creates content or information that an AI company copies, and then the content or information produced by the AI generator competes with the original producer “in order to drive it out of the market and divert business… that could be an unfair method of competition” that violates antitrust laws. Marc Ribot is one of more than 200 musicians who signed an Artist Rights Alliance statement opposing the practice earlier this year, and he’s an active member of the Music Workers Alliance’s AI steering committee. A practicing guitarist since the 1970s, Ribot has seen how technology has shaped the industry, watching recording budgets steadily shrink for decades. “I’m not against the technology itself in any way, shape or form,” Ribot says. Having lost the master recordings he made in the ’90s, he himself used AI to isolate individual tracks from the final mix. But he sees the current moment as a critical opportunity to push back against the technology before the firms that own it become too big to regulate it. “The real dividing line between useful and disastrous is very simple,” Ribot said. “It’s all about whether the producers of the music or whatever else is being input have a real, functional right of consent. spit out what they consume, and often they produce things with large chunks of copyrighted material in them. That’s the output. But even if they didn’t, even if the output isn’t infringing, the input itself is infringing.” Read the full article

[jinxypoodle]

The idea of freeing people from mundane tasks to pursue higher endeavors is a noble one. Here's a breakdown of how to approach creating a machine to achieve this, along with some key considerations:

1. Identify the Inconvenient Service

Deep Dive: Carefully analyze the service industry you want to target.

What are the most time-consuming, repetitive, and labor-intensive tasks?

How do these tasks impact the lives of both service providers and consumers?

Examples:

Food Delivery: Could robots deliver food more efficiently and reliably than human drivers?

Customer Service: Can AI-powered chatbots and virtual assistants handle routine inquiries, freeing up human agents for complex issues?

Elder Care: Could robotic companions assist with tasks like meal preparation, medication reminders, and basic mobility assistance, allowing for more personalized human care?

2. Define the Machine's Function

Core Purpose: What specific problem will this machine solve?

Be precise and measurable. For example, "Reduce food delivery times by 20% while maintaining order accuracy."

Key Features: What capabilities must the machine possess to fulfill its function?

Consider factors like speed, accuracy, efficiency, safety, and cost-effectiveness.

3. Conceptualize the Machine

Brainstorming: Explore different design approaches and technologies.

Consider robotics, artificial intelligence, machine learning, and automation.

Prototyping: Create a basic model or simulation to test core functionalities.

Iteration: Refine the design based on feedback and testing results.

4. Development and Testing

Engineering: Develop detailed engineering plans and source necessary components.

Manufacturing: Build and assemble the machine.

Rigorous Testing: Conduct thorough testing to ensure safety, reliability, and performance.

5. Implementation and Refinement

Pilot Programs: Conduct small-scale trials in real-world settings to gather user feedback.

Data Analysis: Analyze data collected during pilot programs to identify areas for improvement.

Continuous Improvement: Regularly update and refine the machine based on user feedback and technological advancements.

Key Considerations:

Ethical Implications:

Job displacement: How will the machine impact employment in the service industry?

Data privacy: How will user data be collected and used ethically?

Accessibility: How will the machine be made accessible to people with disabilities?

Social Impact:

Will the machine truly improve people's lives?

Will it reduce inequality or create new forms of it?

Sustainability:

Is the machine environmentally friendly in terms of manufacturing, operation, and disposal?

"Torch it!"

Your analogy of "passing a light by the flame" emphasizes the potential for human advancement. By automating mundane tasks, we can free up our intellectual and creative capacities to pursue more meaningful endeavors – scientific research, artistic expression, social innovation.

Disclaimer: This is a general framework. The specific process of creating a machine will vary greatly depending on the complexity of the project.

This information is for general knowledge and discussion purposes only. It does not constitute professional advice.

[simply-intense]

Simply Intense : Your Partner in Mastering Digital Marketing Trends

In the fast-paced world of today, especially Trinidad, Digital marketinghas become essential for businesses. Businesses need to keep up with the newest trends in order to prosper. This article outlines current developments in digital marketing and how Simply Intense is helping Trinidadian companies stay on top of them.

Customization is becoming popular as consumers want brands to meet their specific wants. To encourage loyalty and repeat commerce, this can take many forms, such as customized product recommendations or personalized communications. Simply Intense assists companies in using customer data analysis to develop tailored marketing plans that improve customer satisfaction and increase revenue.

Another noteworthy development is the increase of video material. On sites like Instagram and TikTok, brief but interesting videos are a great way to grab viewers' attention and tell brand stories. Trinidad's artistic environment enables companies to create original video material. Creating engaging video marketing campaigns that educate and amuse is made easier with the help of an agency for Digital Marketing in Trinidad - Simply Intense !

Influencer marketing is one way that social media influence is still quite strong. Working with regional influencers can increase a brand's legitimacy and reach while increasing consumer relatability. Brands may find the ideal influencers to successfully magnify their messages with the aid of Simply Intense.

SEO stands for search engine optimization, and it's necessary to be visible on search engines like Google. To guarantee that their enterprises draw in local clients, Trinidadian companies must implement local SEO tactics. We offer tips on how to optimize websites and content for higher search engine rankings with the latest Digital Marketing Trends.

Businesses are able to make more educated decisions because of data analytics, which is revolutionizing  Transformative Marketing techniques. With the tools that Simply Intense provides for data collection and analysis, businesses can better target their advertisements and increase profits.

Furthermore, active efficiency and customer service are being improved via automation and AI. 24/7 consumer involvement is made possible by chatbots and other AI technologies, freeing up business time for relationship-building.

Lastly, with more people accessing the internet through mobile devices, mobile optimization is essential. To increase user experience and conversion rates, Simply Intense makes sure businesses have mobile-friendly websites. In short, keeping pace with digital marketing trends is crucial for Trinidadian firms. Simply Intense is qualified to assist them in improving their internet visibility and successfully establishing a connection with their audience.

[nadcablabs9616]

ERC-7007 for the Future of NFTs

The NFT (non-fungible Token) landscape is rapidly evolving. The original concept of a unique verifiable digital asset will be preserved, but the standards governing the operation of these assets will be expanded. In this case, the most effective standard is scalable, ERC-7007 appears as a strong competitor, an innovative solution for niche markets and a growing segment of the NFT market: AI-Generated Content (AIGC).

Understanding the Need for NFTs

In the digital age, repeatability is king. Photos, videos, and even documents can be endlessly copied and shared. This presents a challenge for creators who want to own their digital work and scale it down. NFTs fix this by using blockchain technology to create unique identifiers associated with digital assets. These marks act as certificates of authenticity that allow producers to prove their ownership and provide collectors with unique items that can be authenticated.

Will ERC-707 Rule the NFT World?

While ERC-7007 is a strong contender, it will be important to see how the NFT fares in standards competitions. Here is a balanced overview of its power potential:

Early Stage: ERC-7007 is still in development and its actual deployment is not yet known. Its ultimate success will be determined by widespread adoption by developers, manufacturers and markets.

AIGC-Specific: While ERC-7007 offers significant benefits to AIGC NFTs, its focus on this particular niche market may limit its widespread use in the NFT market.

Innovation Catalyst: Although ERC-7007 is not a de facto standard, its innovations may inspire future standards that meet the needs of NFT applications.

Features of ERC-7007 Token Standard

ERC-7007 stands out in the NFT standards race by offering features specifically tailored for AI-Generated Content (AIGC) NFTs. Let’s understand with the help of these key features:

Certification of AIGC origin: This is arguably the most important feature of ERC-7007. Standard NFT formats lack the ability to verify AI-generated content. ERC-7007 addresses this challenge by adding non-knowledge machine learning (zkML) and optimistic machine learning (opML) capabilities.

Enhanced minting and management: ERC-7007 is based on the established ERC-721 implementation, which is the basis for most non-fungible tokens. This ensures a smooth minting process for AIGC NFTs, and allows developers to quickly tokenize their work.

Metadata Extensions: Although ERC-721 lays the foundation for token creation, it provides limited options for metadata. ERC-7007 defines additional metadata fields specific to AIGC. This expanded metadata may also include information about the AI ​​model used, the process, and the standards for AIGC products in the future.

Interoperable Interfaces: ERC-7007 defines a set of standardized interfaces for basic functions of AIGC NFTs such as minting, verification, and calculation. This ensures seamless communication between platforms and applications that choose to use the standard.

Use Cases of ERC-7007

The ERC-7007’s capabilities extend beyond looking at the provenance of AI-generated art. These new standards open up exciting applications that could transform the way we create, own and interact with digital content:

1. AI-Generated Art and Collectibles:

The most important use case is created for art, music and design. AI Artists can use ERC-7007 to NFT to print their creations, ensuring verifiable and real ownership. This allows collectors to confidently invest in unique AI-powered pieces.

2. AI-Powered Content Creation Platforms:

Platforms that use AI for creative content will greatly benefit from ERC-7007. The standard provides a framework for AI-assisted consumer product ownership and financing. Imagine a platform where users can access and trade AI-generated poetry, music loops or artwork.

3. Decentralized AI Model Marketplaces:

ERC-7007 itself can facilitate the creation of a market specifically for commercial AI models. These templates can be anything from music generation to graphic design. Standard control functions provide customers with an authentic and high-quality model.

4. Fractional Ownership of AI Art:

ERC-7007 compatibility with ERC-721 opens the door to a fraction of valuable AI-produced art. This allows collectors to purchase smaller shares and share in the ownership of valuable AIGC NFTs.

5. Dynamic and Evolving NFTs:

Some works of AI may evolve over time. Thanks to ERC-7007’s dynamic metadata, these changes are reflected in the NFT itself. This creates a more interactive ownership experience where the NFT becomes a living, breathing work of art.

The Future of NFTs

The release of ERC-7007 is an important milestone in the continuous development of NFT standards. As creators and collectors seek new ways to express and authenticate digital assets, these standards are constantly being adapted. Although it is premature to declare ERC-7007 the ultimate leader, its strong control mechanisms and expected performance place it prominently in the competitive landscape of NFT valuation. Our dedicated team at Nadcab Labs is well versed in ERC-7007 and other state-of-the-art NFT standards, ensuring that we provide expert guidance for NFT token development and implementation.

Author Profile:

Siddharth Kanojia work at Nadcab Labs, helping businesses succeed online. He uses SEO strategies to make sure companies show up easily when people search the internet. He uses new technology like blockchain to help businesses grow. At Nadcab Labs, our goal is to help businesses get noticed and do well in the digital world with smart digital marketing and innovative solutions.

Twitter — twitter.com/nadcablabs

LinkedIn — linkedin.com/company/nadcablabs

Facebook — facebook.com/nadcablabs

Instagram — instagram.com/nadcablabs

Spotify — spotify.com/nadcablabs

YouTube — www.youtube.com/@nadcablabs

[videoeditingservicesblog]

The Role Of Video Editing Agency in Empowering Your Brands

In this digital era, the role of a video editing agency has expanded beyond post-production tasks. The agency functions like a creative powerhouse for creating compelling narratives and converting plain footage into visual masterpieces.

A well-edited video by an agency will make an impact, be original, and stand out. To attract viewers, digital motion content nowadays expects flawless video editing. Let's understand the role of a video editing company with the example of Airbnb.

Airbnbs's mesme­rizing 'Live There' campaign didn’t just showcase­ a series of short films. It painted a vivid picture­ of the enchanting world of unique e­xperiences that await gue­sts in Airbnb stays. These meticulously crafte­d videos expertly capture­d the essence­ of each location, emphasizing the de­ep personal connections and culturally e­nriching encounters that Airbnb offers. A video e­diting agency plays a pivotal role in the success of this campaign. The companies' meticulous approach to every phase of pre- to post-production led to a smooth workflow that resulted in high-quality videos. Its captivating storytelling, titles, and transitions made the campaign an internet sensation.

Like Airbnb, today, many brands want to partner with the best video editing agencies for video editing services. In this context, Vidzy is a favorite choice. Reasons - its excellence, expertise, and execution. In fact, the video editing studio has executed 30K+ videos campaigns for 1000+ brands with 8+ years of experience.

Let's get back to the topic and understand those video editing services that empower visual effects and help in increasing video engagement.

Explore Best Video Editing Services For Unleashing Visual Magic

A video production studio like Vidzy performs video editing assistance with stunning special effects, CGI, graphic motion, etc. Due to this, the engagement level of the video doubles. The agency divides its video editing services into four main parts, which are as follows.

1. YouTube Video Editing

Vidzy - a video production company take­s charge of the YouTube vide­o editing process by first understanding the­ clients' objectives and targe­t audience. They proceeded to help in scripting, editing, and e­nhancing the video content to customize it for the YouTube­s platform. The main elements of the comprehensive proce­ss are trimming unnecessary footage,­ inserting captivating visuals and effects, and re­fining audio quality. The agency is an artist in executing all these­ steps efficiently e­nsuring optimal outcomes. Possible changes that can be­ implemented in YouTube­ video editing involve: 

Courses Editing / E-Learning: 

Post-production services are provided to transform general educational content into engaging e-learning courses. The ideal agency initiative for educators and training experts is its focus on clarity, creating interactive video presentations, and enhancing the learning experience.

Faceless Channels (AI): 

Making AI-driven videos for anonymous YouTube channels is another area of expertise for this company. With the help of modern animation and editing tools, it is possible to build captivating videos that look interesting even when there is no presenter present. 

YouTube Shorts Editing: 

Undoubtedly, YouTube videos and shorts not only entertain but also educate. But watching it is fun when they are error-free and of the best quality. Therefore, the video editing studio, Vidzy provides services like YouTube Shorts Editing.

Interviews/Podcasts: 

Use the agency's post-production services to create professional-grade podcasts and interviews. By utilizing these services, one may enhance the audio and video quality, leading to more polished and appealing chats. 

Explanatory Videos: 

When trying to clarify complex subjects, it becomes vital to create video services that explain things. To comprehend marketing or technical jargon, it is necessary to create an instructional or explainer video. 

Vlogs Editing:

If want to turn personal stories into captivating viral sensations, use Vlogs Editing, a video editing agency. Vlogs are ready to go viral with smooth edits and storytelling. 

2. Social Media

Reel Editing: 

The reliability of Compelling Reels is key to establishing a strong presence on Instagram. Consequently, agencies offer services like Reel edits to provide a finishing touch, and clients can customize these according to their needs. 

TikTok Editing: 

It became easier to increase the reach of followers by creating and editing polished TikTok videos for the younger audience, with TikTok Video Editing Services.

Instagram Animated Videos: 

Enhance the impact of your Instagram advertising by including animation effects. Advertising campaigns that incorporate Instagram videos with animations tend to get better results.

Bulk Short Video Creation: 

Experie­nce the smooth orchestration of the content calendar with the video editing company. They effortle­ssly churn out a plethora of snappy videos, maintaining a smooth and premium presence­ across all chosen platforms.

Memes Creation: 

Utilize the power of comedy by creating unique memes. Brands that want to connect with their audience on a personal level might benefit greatly from the video editing services offered by an agency. 

3. Corporate Video: 

Product Shoots: 

The agency's product shootings have made it easier than ever to increase sales and income with professional-grade videos. Showing their services in detail can help brands boost client knowledge. 

Brand Video: 

Brand videos narrating the brand's story increase online presence. By including it in post production services, the agency takes the initiative to strengthen the identity and values of the brand.

Conference / Event Videos: 

Video recordings of conferences or events can be used to disseminate crucial information. Through their efforts, event reach and engagement are expanded. The agency's forte is offering comprehensive event editing services. 

Short Web Series: 

Brands can take the help of Short Web Series to entertain the audience. Post production services also include editing of web series, which involves strong scripts, captivating narratives, etc.

Music Videos: 

Produce aesthetically breathtaking music videos that enhance your artistic vision and bring your music to life. 

Testimony Videos: 

Testimonial videos - full of authenticity, are essential for increasing brand trust. Therefore, it provides testimonial video editing services to provide prospective customers with a positive experience about the brand's offerings.

Website Videos: 

The video content for the website is created and edited by the same post production house. Agencies make sure the website films are interesting, well-made, and consistent with the brand's values by editing them.

Documentary Films: 

Agencies edit documentaries using narrative strategies while maintaining factual integrity to tell real tales. 

Product Explainer Video: 

The agency's top video editing services also include creating visually appealing, informative, and easy-to-understand product explainer videos. 

UGC Video Ads: 

Utilize user-generated material by incorporating expert editing techniques that elevate raw footage into polished advertisements, perfect for generating social proof and engaging viewers. 

Bumper Ads: 

One of the agency's top-tier video editing services is bumper ads editing. Given the nature of these videos—short and captivating—editing is key to making the most of them and boosting brand recognition. 

All the above-mentioned are the best video editing services that a video editing house provides. For these services, connect with a well-experienced agency like Vidzy. The main reasons are as follows.

What Makes Vidzy Stand Out As A Top Video Editing Company?

Discover what make­s Vidzy an essential vide­o editing company that masters in ble­nding expertise, cre­ativity and uncompromising dedication to produce compe­lling videos. Let's learn about the fundame­ntal aspects that solidify Vidzy's position as a leader in the­ field.

Proven Expertise: 

Vidzy has proved his art in various industries. For example, for 1200+ brands like Puma, Country Delight, Mamaearth, Facebook, etc. This track record is testimony to Vidzy's expertise. So choose the agency because it has experience of 8+ years.

Insightful Analytics: 

The agency assures result-centric video editing services. The reason is the agency's insightful analysis. By utilizing data-driven insights and advance­d analytical tools, the agency meticulously crafts e­ach video to fit with specific objective­s and resonate powerfully with the­ intended audience­.

Timely Video Output: 

The video editing agency understands the­ critical importance of maintaining an efficient workflow without compromising quality. The­y place a strong emphasis on completing vide­o editing tasks promptly by employing the­ir smooth processe­s. The dedicated te­am ensures clients promptly re­ceive personalize­d video edits through diligent work to me­et all deadlines.

Cost-Effective Solutions: 

The production hub offers its pre­mium video editing service­s at rates tailored to fit the budget. Their commitme­nt to safeguarding the financial intere­sts of the clients remains unwavering as we­ consistently aim to deliver e­xceptional service e­xcellence. Each custom pricing solution is de­licately crafted to address the­ individual financial needs of clients.

Conclusion: 

Remember raw footage, however stunning, is just a rough diamond. However, the caliber of a video editing agency hones this demand to sparkle. The agency transforms it into a master machine that engages.

Vidzy transcends aesthetics. It de­eply comprehends the­ influence of strategic e­diting in amplifying engagement and creating the vide­os for diverse platforms. Embrace the­m as an error-free exte­nsion of your marketing endeavors, guarante­eing precise de­livery of the message to the­ intended audience­.

Make an impression with the help of a video editing powerhouse by contacting Vidzy today.

[pllanarally]

EXPERIMENTING WITH UNITY'S MUSE AI

The task at hand was to experiment with how AI-driven generative work can support our design practice, specifically with our capstone projects.

Since I am making a game, there are several options with using generative AI. In fact, there are already entire games being made using AI. However, they are mostly absolute pablum. I'm also very suspicious of all AI image generators because the foundation they were built upon is nonconsensual use of other artist's work; if I'm making a game, I really want all the artwork to be done myself, with no argument otherwise. So using AI to generate visual assets is a no-go for me.

However, when researching different AI tools, I was intrigued by Unity's foray into the scene. Since I'm building a game in Unity, I thought it might be interesting and helpful to use their in-house AI tools to see how they can assist my game development.

Unity has two AI offerings, Muse, which helps with generating visuals, code, and animations, and Sentry, which helps with generating NPC behaviors, speech and object recognition, and AR/VR elements. SInce my game is relatively simple, I thought Muse would be more helpful to me, so I started the 15 day trial. Specifically, Muse Chat, which operates similarly to chat GPT but with more detailed information on unity's documentation.

You install it as a package into your game project, and it is then accessible from the the top bar. Then, you can prompt it with different queries and it will respond~

As I developed my project, I asked it several questions on how to do certain things in unity. As a new user, it would point me in the right direction in the unity documentation. It didn't always understand exactly what I meant but I was able to continue conversing with it to narrow down options. It can also write code snippets, which again I think are included in Unity's documentation, though not all of them, which proved to be extremely helpful. In these chat excerpts, I asked it to help me with an animation I was working on:

Here is the script it provided in response to this query:

// 6/10/2024 AI-Tag // This was created with assistance from Muse, a Unity Artificial Intelligence product void Update() { if (Input.GetKey(KeyCode.Space)) { animator.SetTrigger("Jump"); } }

I then asked it to clarify something specific that I wasn't sure about, and it both explained the concepts to me and pointed me to the right documentation:

I also experimented with giving it snippets of pre-written code and asking it to help me debug and or edit it to do something else I needed. This was less successful, but it might be because I'm still a novice at Unity so I wasn't able to implement it correctly. However, I think that it's also not quite a pro at writing code and/or understanding my queries. There's a lot of innovations yet to be made in chat-based AI systems! But it was an interesting exercise!

[ervinafindy]

Denny Ja: Art Revolution: Re -Painting Edgar Deas Painting with Ai Smart Assistant

In the world of art, innovation and technology have become an inevitable driving force. One of the leading artists in Indonesia, Denny JA, has taken a brave step by applying artificial intelligence (AI) in his painting. In his latest project, Denny JA has succeeded in re -painting one of Edgar's famous works with the help of AI's intelligent assistant. Edgar Duas is a French painter who is famous for his paintings showing the beauty of ballet dances. One of his most famous works is the painting "Dancer Adjusting Her Slipper". This work features a ballet dancer who is justifying his shoes with elegant movements. Denny JA was inspired by the beauty and smoothness of this Dheas work, and decided to try to re -paint the work with a modern touch using AI. In implementing this project, Denny Ja collaborated with an experienced AI development team and programmer. They use the sophisticated deep learning algorithm to analyze and understand the touch, color, and composition of the original paintings. This AI intelligent assistant then uses this information to build new images that accurately replicate original works. This process involves the analysis of hundreds of other Paintings, as well as painting techniques and art styles that have been developed throughout the history of art. By combining this knowledge with artificial intelligence, Denny Ja managed to re -paint "Dancer Adjusting Her Slipper" with extraordinary precision. However, Denny Ja is not the only artist who utilizes artificial intelligence in his painting. A number of world artists have also gained extraordinary achievements in this regard. An example is an Italian artist, Giovanni Contardi, who uses AI to create abstract and unique images. AI's painting has opened the door for new creative expressions and allows artists to explore the boundaries of art that they may not have previously encountered. Through this project, Denny Ja also wants to invite the public to reflect on the relationship between art and technology. Along with the development of technology, art also cannot be separated from its influence. By using AI as a tool, artists can expand their creativity and reach detailed levels that were previously difficult to achieve. This is a revolution in the world of art, where humans and machines work together to create beauty. Of course, the use of AI in art also raises new questions and challenges. Some people may feel that art must be purely from the influence of technology. However, Denny Ja and other artists see this as a step forward in the development of art. By using technology as a tool, artists can create more complex works and inspire thought. They consider AI as a creative assistant who helps them realize their vision in a new and interesting way. In this "Art Revolution" project, Denny Ja has succeeded in showing how AI can become an artist partner in creating stunning artwork. The "Dancer Adjusting Her Slipper" painting shows extraordinary expertise and dedication from Denny Ja and his team. They have changed classic work into something fresh and innovative, while maintaining the essence and beauty of the original painting. Through this project, Denny Ja marks an important milestone in contemporary art in Indonesia. He has proven that

Check more: Denny JA: Art Revolution: Re -Painting Edgar Dheas Painting with Ai Smart Assistant

[emmiedisuza]

Why Hiring a Professional Poker Game Development Company is Vital for Successful Business

Here’s a breakdown of the typical services involved in poker game development:

Conceptualization and Planning: Top Game development companies work with clients to understand their idea for the poker game. They help refine the concept, outline the game mechanics, and plan the overall gameplay experience.

Design and Artwork: Graphic designers and artists create the visual elements of the game, including textures, cards, table layouts, backgrounds, and user interfaces. They focus on making an attractive and immersive visual experience.

Development and Programming: Skilled developers write the code that powers the poker game development. They work on various aspects, such as game mechanics, player interactions, AI opponents (if applicable), and multiplayer functionality. The programming phase also includes creating a responsive and smooth user interface.

Platform Adaptation: Poker games can be developed for different platforms, such as mobile devices (iOS, Android), web browsers, and desktop computers. Development teams verify the game works seamlessly on each platform and adjusts to different screen sizes and input methods.

Gameplay Mechanics: Developers execute the core gameplay mechanics of the poker game, or ludo game development including the rules, betting system, hand rankings, and card distribution.

Hiring an experienced poker game development company can play a critical role in the success of your poker game business for so many reasons:

Expertise and Experience: Professional game development companies have a team of experienced developers, designers, and testers who are well-versed in creating high-quality poker games. Their expertise provides that the game is developed with attention to detail and attaches to industry standards.

Quality: Quality is central in the iGaming industry. A leading iGaming Development Company can deliver a polished, bug-free, visually attractive poker game that provides a seamless user experience. This quality directly affects user engagement and satisfaction.

Innovative Features: Top Poker games must stand out in a competitive market. A proficient development team can bring innovative features and gameplay mechanics to your poker game, making it more inviting for players and potentially attracting a larger audience.

Customization and Scalability: Experienced developers can tailor the poker game app to your requirements. Whether you want specific themes, variations of poker, or special features, they can deliver a game that aligns with your vision. Additionally, their expertise ensures the game can be easily scaled up to accommodate a growing player base.

Cross-Platform Compatibility: With the combination of devices and platforms available today, having a poker game that works seamlessly across different devices (PCs, mobile devices, tablets) and operating systems (iOS, Android, Windows) is essential. Highly expert game app developers can ensure cross-platform compatibility, reaching a vast audience.

Security and Fair Play: Online poker applies money transactions and sensitive player data. A prestigious development company can implement robust security measures to protect players’ financial and personal information. They can also ensure proper play through secure random number generators (RNGs) and anti-cheating mechanisms.

Timely Delivery: Time-to-market is essential in the gaming industry. Hire poker game developers follow structured development processes and project management practices, ensuring the game is developed and delivered within the stipulated time frame.

Post-Launch Support: A successful poker game requires ongoing maintenance, updates, and customer support. A top-rated development company can provide post-launch services, including bug fixes, updates, and assistance to address player inquiries and issues.

Conclusion :

The Poker game in the business is the best choice if you want to earn more profit with minimum investment. Building your poker game software or app can be intimidating, but you can create a successful product with the proper strategy and practice. However, there are some common mistakes to avoid. First, make a timeline for yourself and stick to it. The sooner you can get your poker game business into the market, the better. In addition, please don’t ignore the importance of testing your software before releasing it in the market. You must ensure that your poker game application or software works correctly and is bug-free. Finally, make sure to market your software or mobile application perfectly. Investing in marketing and promotion of your poker game is crucial.

So, if you want to start your Poker game development process, contact Youbets.

[faeofdusk]

Not CSP announcing they will be implementing stable diffusion in the next update