We build AI models to make anime real.
- Game Dev: looking for engineers who know unity, love the anime aesthetic, and want to work on our upcoming strategy RPG.
- Full Stack Software Engineer: looking for smart generalists who love anime and want to work on advanced data processing pipelines for petabytes of anime images & video.
- Audio/LLM Researcher: looking for senior researchers interested in working on foundational end-to-end audio models. Must tolerate^Wlove high-pitched moe anime voices.
Ping over name of best waifu or husband to [email protected]. Can sponsor visas to either USA or JP.
See all roles over at https://spellbrush.com/careers
Spellbrush is hiring game programmers!Our team has worked on acclaimed tactics titles such as Sword of Convallaria, Archeland, and Final Fantasy Brave Exvius.If you're interested in working on anime tactics games while also utilizing world class bleeding-edge AI research to enhance gameplay and production, shoot an email directly to [email protected] with the subject header "[Game Programmer]...
We also work on anime image diffusion models, and it would be massive shame if our own careers page didn't highlight the results, haha.
We build AI models to make anime real.
* Game Dev: looking for engineers who know unity, love anime, and want to work on our upcoming strategy RPG.
* Full Stack Software Engineer: looking for smart generalists who love anime and want to work on advanced data processing pipelines for petabytes of anime images & video.
Ping over name of best waifu or husband to [email protected]
See all roles over at https://spellbrush.com/careers
Spellbrush (YCW18) builds state-of-the-art AI foundational models for anime and video games.
We probably spends 10x more compute on anime than anyone else in the industry - we think our results over at nijijourney.com speak for themselves.
Looking to both expand our game development team and our AI research and data processing teams.
JAX and TPU experiences are a plus.
Otaku looking for a job in AI are welcome to ping over name of best waifu or husband to [email protected]
Looking for anime fanatics (read: weebs) who want to work at the intersection of AI, anime, and games.
Looking for React experts, Unity experts, GPU Infrastructure experts, and Pytorch + JAX experts.
Especially interested in folks who want to push the boundaries on training large-scale foundational diffusion models.
Hiring for all roles. If you're sure you can help, but don't see a position that fits, DM me via LI or twitter (in bio) Include name of best waifu/husbando to bypass spam filters.
Since WebGPU is still quite experimental and not usable without install canary browser builds, I'm really hoping that Live can be used separately. Like the author, I'm pretty sick of doing the data retained/declarative dance with libraries like pixijs many times now.
At least from this article, it seems that the author is using their @use-gpu/state[2] package independently. Would love to know if anyone might have any more details or experience?
[1] https://usegpu.live/docs/guides-live-vs-react [2] https://usegpu.live/docs/reference-live-@use-gpu-state
Happy to answer questions or otherwise that folks might have.
Also props to coveragecat. The generated cats are _super_ cute. Especially the ones that made it to the current landing page.
[1] discord.gg/nijijourney
we mostly gave up and just got barebones machines since the cabling situation becomes pretty tricky, and the barebones total cost is low relative to the GPUs anyways.
but something we do allow is for players to create characters on the main waifulabs site[1], and then share QR import codes of that custom characters with friends.
Arrowmancer is really our first attempt at scaling it up; hoping to do even cooler generative AI-related in that production.
But the tldr; is a lot of scavenged EPYCs and nvidia GPUs all in a large sound-proof rack.
> I think the effort required for such an undertaking is vastly underestimated by readers.
Haha for sure. Hosting a real-time ML model for people to do sub 1-second inferences at HN-load scale is definitely nontrivial.
Thanks so much! It's done by our fantastic animator[1]!
GANs are quite interesting and we didn't see many approachable explainer videos targeted at lay people, so we decided to make one ourselves!
We're a YC startup working on an ~Anime Mobile Game~ powered by state-of-the-art deep-learning illustration AIs[1]!
Give us a shout if you like anime and are an expert in any one of our three open positions: Elixir, React Native, or Unity!
Official job listing is here[2] but also feel free to email [email protected] directly or twitter DM @cixelyn.
Make sure to put name of best waifu/husbando in the subject line so we know it's not spam :)
One thing the author overlooks is how game programmers were able to exploit the primitive networking capabilities of the calculator. I fondly remember playing multiplayer Bomberman by plugging two TI-83 together via the 2.5" link cable.
I recently had enough nostalgia to pick up a new 2021 TI-84 Plus CE PYTHON unit. On one hand, it hurts to buy a 20+ year old CPU for over $100. On the other, there's something satisfying about still being able to program TI-Basic via muscle-memory using the token-based input.
Asking since we're in the same position as yourself w/ high double-digit disks trying to figure out our plan moving forward. Right now we're just using a very large beefy node w/ shelves. ZFS (via TrueNAS) does give us pretty good guarantees on failed disks + automated notifications when stuff goes wrong.
Obviously a single system won't scale past a few hundred disks so we are looking at alternatives including Ceph, GlusterFS, and BeeGFS. From the outside looking in, Ceph seems like it might be more complexity than it's worth until you hit the 10s of PB range with completely standardized hardware?
We're a small, tight-knit team of MIT-trained researchers applying the latest advancements in deep learning for *anime* and *video games*.
Currently hiring a full-time front-end engineer to help us launch the world's first AI-illustrated game.
You should definitely reach out if you:
a) like anime
b) have experience with react and/or react native.
Make sure to put name of best waifu/husbando in the subject line so we know it's not spam :)
Looks like there's an assembler for programming the PIO peripheral; they seem quite capable with two IO registers and two scratch registers.
I've used a similar sort of embedded state machine inside EFM8 microcontrollers before. They're great not just for implementing custom communication protocols, but also for offloading simple tasks: one example I've coded before is that you can offload software key debouncing to the state machine, and even get an interrupt on keypress. This greatly simplifies the main loop as you don't need to dedicate polling time or write debounce calculations!
Do you have any additional info? EdgeFS's github[1] doesn't work; does repo access require a Nexenta sales call?
We're also looking into asynchronously replicated FSs, I think built-in caching + tiering is slightly nicer than cron + rsync; would love to know what other solutions you looked into.