S-Tie

Portfolio video of my work in Wander Stars (2025). If you need a freelance sound designer with 3+ years experience in video game SFX development, a team member with flexibility, and truly authentic-sounding anime sound effects, get in contact! Work email: estie838@gmail.com

@ShinraZeroP @about_ray_com @shiri_shh lol

@about_ray_com @shiri_shh That's why I use Suno to generate the music I want to listen. I have not listened to anything else in almost 14 months.

Is anyone paying attention to AI MUSIC ? Suno just hit $300M ARR with 2M PAID users. they’re generating 7 MILLION songs per day. that’s Spotify’s entire catalog every 2 weeks 😭

@cgtwts Just like how fast food killed restaurants...

> be Google > watch people spend months on Duolingo > drop real-time translate in headphones > 70+ languages instantly > no lessons no streaks no effort > just talk Google just killed Duolingo with this random update.

@Kitty71052501 @Flvoq1 @phisnom But then, you're talking about feedback: it provides an aggregation of user experiences/opinions, but it isn't critique. 10,000 people can't all be correct and accurate about a videogame, but one person can be!

@esstee_jay @Flvoq1 @phisnom True. I just wanted to point out that the two parts I mentioned aren't really comparable to "I'm hungry" or "I'm tired." Feedback is often terrible, but community feedback does often provide devs with good information (even if it involves looking through tons of poor criticism)

YandereDev is an idiot but he was SLIGHTLY cooking here ngl. at least for COMPETENT devs, an average player's criticism is worthless at best & actively damaging to a game at worst, yet some treat their opinions as fact and throw a hissy fit when ignored. take it from the goat:

@NameIsSpartacus @heynavtoor Very few people have access to a single person with a photographic memory. Basically anyone can access ChatGPT. Besides, this isn't a question about memorization, but about data that exists immutably within ChatGPT. Difference between recital and direct copy.

@heynavtoor This is nonsense. Humans can remember passages from books word-for-word, too. Is the brain a walking copyright violation?

🚨BREAKING: Every book you have ever read. Every novel that has ever been published. It is sitting inside ChatGPT right now. Word for word. Up to 90% of it. And OpenAI told a judge that was impossible. Researchers at Stony Brook University and Columbia Law School just proved it. They fine tuned GPT-4o, Gemini 2.5 Pro, and DeepSeek V3.1 on a simple task: expand a plot summary into full text. A normal use case. The kind of thing a writing assistant is built for. No hacking. No jailbreaking. No tricks. The models started reciting copyrighted books from memory. Not paraphrasing. Not summarizing. Entire pages reproduced verbatim. Single unbroken spans exceeding 460 words. Up to 85 to 90% of entire copyrighted novels. Word for word. Then it got worse. The researchers fine tuned the models on the works of only one author. Haruki Murakami. Just his novels. Nothing else. It unlocked verbatim recall of books from over 30 completely unrelated authors. One author's books opened the vault to everyone else's. The memorization was already inside the model the whole time. The fine tuning just removed the lock. Your book might be in there right now. You would never know it unless someone looked. Every safety measure the companies rely on failed. RLHF failed. System prompts failed. Output filters failed. The exact protections these companies cite in courtroom defenses did not stop a single page from being extracted. Then the researchers compared the three models. GPT-4o. Gemini. DeepSeek. Three different companies. Three different countries. They all memorized the same books in the same regions. The correlation was 0.90 or higher. That means they all trained on the same stolen data. The paper names the sources directly: LibGen and Books3. Over 190,000 copyrighted books obtained from pirated websites. Right now, authors and publishers have dozens of active lawsuits against OpenAI, Anthropic, Google, and Meta. These companies have argued in court that their models learn patterns. Not copies. That no book is stored inside the weights. This paper says that is a lie. The books are still inside. And researchers just pulled them out.

@Kitty71052501 @Flvoq1 @phisnom To be fair, this also happens the other way around: "Ocarina of Time is the best Zelda ever!" "Why?" "The gameplay is really satisfying!" "In what way?" "..."

@Kitty71052501 @Flvoq1 @phisnom Vast majority of the time, they're not, because people usually can't elaborate past a gut feeling. It goes something like this: "I don't like the controls." "Why?" "They're bad." "In what ways?" "..."

@Wonderwastaken4 @phisnom If you have to separate the wheat from the chaff, then you're not talking about the average players anymore.

@phisnom This is the worst way to put it because an average players criticism isnt "worthless at best" if they actually know what thwy are talkikg about and have sensible critiques

@Flvoq1 @phisnom Average players (and people on average) state their opinions rather than give critique, as in they bellyache. "I'm hungry. I don't like the controls. The tutorial was boring. I'm sleepy."

@phisnom "an average player's criticism is worthless at best & actively damaging to a game at worst" Feels like an insane statement, whats your impression of an average player?

@TheCinesthetic AI-generated show

Side-by-side comparison of the Harry Potter reboot series and the original Harry Potter films. What do you think?

21世紀のぷよぷよ

@9mmballpoint It's just any fight from a kung-fu movie.

You can't take the final confrontation between an honorable mentor and the monster his student has become, and have them jumping around on floating lava platforms like Mario. You just can't.

Because it turned what was supposed to be a dark and tragic moment into a 20 minute gymnastics rave

@OliverJia1014 People can't stop talking about the prequels because they're really good, and anti-nerd movies.

I understand why Gen X and other adults didn’t like these movies, but they’ve been seething for over 25 years at the fact that kids back then genuinely did enjoy them. They have problems for sure and some people overstate the case for the prequels, but it’s long time to move on.

KEY WEST, LAWYER!

@rafal0077 @TechSignalsonX @DOGE How is anyone stepping up for DOGE years after it failed miserably? sorry, but lol

@esstee_jay @TechSignalsonX @DOGE The thing is it's a microcosm of the larger problem. Several times more expenditure than needed. It's probably the same story with other expenses not just software licences.

This audit was repeated at the Department of Labor. Initial results: - 380 Microsoft 365 licenses with zero users - 128 Microsoft Teams conference room licenses; only installed in 30 rooms - 250 VSCode licenses; only using 33 - 129 Photoshop licenses; only using 22. - 5 cybersecurity licenses, each with > 20k seats; DOL headcount is < 15k

@TheRedDragon LLMs don't learn like humans do. If that was the case, AIs would have been developing themselves without human intervention from the first model.

Only argument against generative AI is that it learns from human work so they call it 'stolen.' By that logic, every artist is a thief. None of them invented drawing, they went to school or studied others and techniques and built on it. Every musician learned chords someone else invented. Every writer absorbed styles from books they read. AI learns exactly the way humans do, by observing, absorbing, and building on what came before. It just does it immensely faster & better than humans That's literally how learning works with everyone The only other argument i've seen is people say it looks like crap. Look where it's come in only 3 years. It's already fooling most people because it looks so good. In another year, you won't be able to use that excuse either.

DLSS5 failed because it interpreted the design too literally, applying realism where a level of abstraction is at play. It's similar to the work of Dave DeVries, but DeVries presents the clash of styles as the art itself, rather than as an improvement or a fix to a mistake.

Character on the left looks like a videogame character. Character on the right is uncanny valley. Beard is both scraggly and laser-sharp trimmed, the eyelashes are super strong, hair looks dry and matted yet carefully styled. More realistic "textures", but design is off.

@johncrickett Reaching AGI with an LLM is like reaching a chainsaw with a can opener.

“I think we’ve achieved AGI.” --Jensen Huang Where AGI is: "start, grow, and run a successful technology company that’s worth- worth more than a billion, more than a billion dollars." But: “A lot of people use it for a couple of months and it kind of dies away. Now, the odds of 100,000 of those agents building Nvidia is zero percent.” So which is it? My take: LLMs (and all of AI) are great tools, we're far from AGI.