dvrp

I love @Animats comment!

I come from reading about CRDTs from Evan Wallace and also having built a product used by >40M users.

It applies to software products too!

In their words…

If you want to build products, use React or even vibecode; you will learn higher-level issues of solutions to problems (i.e. people problems rather than machine problems), not how to push data/state/computation around. The problem is solving a need.

Neither is good nor bad; just be clear about your goals and then it’ll be easy to decide if you want to follow Zynga’s cofounder, Jonathan Blow, or Notch! And before you rush to answer… consider whether any of them are happy.

For people who recommend against learning these skills because “what Carmack did is not possible anymore.”… well, if what you look for is money then yeah! But, if you just want to learn for the love of the game, then that would be a very bad advice!

Nice dream; the world is a bit more complicated than that.

"it's hard to justify burning a LoRA for most uses" -> Not really, it's literally cheaper on Krea than using ChatGPT Images; NBP and GPT-Images 2.0 are quite expensive, you'd be surprised. LoRAs are one of our most stickiest features (this doesn't mean they are intuitive; this just means that customers who use it, suddenly are retained way more because of how much better their images become). But yeah, anything out there doesn't offer a nice training UIs like Krea where you can just drag-and-drop a moodboard and get a LoRA in a few minutes. It literally takes only a few minutes on Krea; definitely not "N hours for GPUs to churn".

Learn more here: https://www.krea.ai/blog/krea-2-lora-training.

I know, and it’s also for LLMs, but I just delivered what they asked for!

here u go: https://ibb.co/XfZSJKyz

you can try it right away at krea.ai/image (warning: you need to sign-up)

I appreciate the skepticism but we find internally that this model is used more than Nano Banana for many cases like moodboarding (also, 4x cheaper than NBP never hurts). Agentic workflows are compatible with Krea 2 so I’m not sure I follow there. If you are talking about an edit model, that’s coming too.

Also, we are on par with them in t2i benchmarks, check the artificial analysis link I posted in my top comment.

And you cannot re-train nano banana or ChatGPT to understand your brand, which is what our customers complain about constantly.

Plus open-source! It’s hard to do an apple to apple comparison.

Thanks! You should definitely check out the r/stablediffusion sub-reddit; people are going crazy over it!

We also had 0-day support from people like Ostris and ComfyUI from the open source community

There is a lot of discourse about it on Reddit. Check the AMA link I put in the comment above for learning more. The basics is it wasn’t released when we started and we use it for internal models and hope to do further open source releases.

Hello HN,

I am Diego Rodriguez, Co-founder & CTO at Krea.

We are releasing the weights and a _juicy_ technical report---at least given current industry standards. In it we describe data curation/captioning, model architecture, post-training, RL pipelines, prompt expansion, style references, and our infrastructure in great detail.

When it comes to theweights themselves, there's actually 2 releases:

* Krea 2 Turbo. This model is both guidance- and timestep- distilled for faster inference.

* Krea 2 RAW. This model is actually meant to be hackable/fine-tunable

One of the things we think the (open) LLM community does well is release models in different sizes and also at different stages of the training pipelines; we are releasing two checkpoints at both the mid-training and post-training stage. This is rare in the image & multimedia community, so we can't help it but to feel proud of this release.

We are on par with Nano Banana in terms of image quality as per Artificial Analysis text-to-image benchmarks (https://artificialanalysis.ai/image/leaderboard/text-to-imag...).

We also attached a permissive license for individuals and small businesses.

Useful links:

- Marketing page around the OSS release: https://www.krea.ai/krea-2-open-source

- Huggingface model: https://www.krea.ai/krea-2/huggingface

- GitHub repository: https://www.krea.ai/krea-2/github

- Reddit AMA: https://www.reddit.com/r/StableDiffusion/comments/1udnm0a/we...

- Technical report: https://www.krea.ai/blog/krea-2-technical-report Thank you and I hope you enjoy this release---happy hacking!

Some of our team members will be answering questions since we are at the front page for now (thank you HN!).

Happy hacking!

Figuring out the meaning of it all.

I thought sharpening my craft in software for a decade would help; but, the more I read ancient scriptures, the more sense they started making -- and this is as someone who's been mostly agnostic.

Seeing people working on nostalgic apps, wealth-pursuing prompt management tools, or ideological open-source alternatives. I've worked myself in many types of software of similar kinds, and I've found.. not much at the other side of the pursuit.

Some call it “הֶבֶל”; “तृष्णा”; or, “تَكَاثَرَ”...

Still working on it.

Krea; Fulltime; Onsite, San Francisco, CA, USA.

I'm the cofounder of Krea (https://www.krea.ai/). We build creative tools and large-scale infrastructure for multimedia teams. Users range from hobbyists to world-renowned creatives: architects behind the World Trade Center or creative teams at Apple.

We treat research, engineering, and creativity as first-class citizens; we want engineers for our research, product, and supercomputing teams.

What we value (staff writings):

- AGI: https://www.matthewnewton.com/blog/arc-challenge-diffusion

- Diffusion research: https://re-n-y.github.io/devlog/rambling/steering/

- Pragmatic LLM reflections: https://maxemitchell.com/writings/i-read-all-of-cloudflares-...

- Low-level computing: https://gab-menezes.github.io/2025/01/13/using-the-most-unhi...

- Open-sourcing our research: https://www.krea.ai/blog/flux-krea-open-source-release

Some of our projects:

- Large-scale multimodal model training (e.g. distributed training, 1000+ k8s GPU clusters, petabytes of data pipelines, ...)

- WebGL2/WebGPU for node-based tools (SideFX Houdini) & CRDTs/OTs for collaboration

- Cross-service metrics, tracing, and observability

- LLM-driven JS bundle optimization and testing

---

Apply via `ssh apply@krea.engineering`

Vegetarianism is such a bad label lol

Just say GenAI-free; organic software (written by organic agents as opposed to silicon-based ones); or, literally anything that actually means what you wrote.

Seems Mykola Grymalyuk started working at Apple 2 years after this blog post. You either die a hero..

Do you want to know what God thinks about money? Look around and see who he gives it to.

Krea; Fulltime; Onsite, San Francisco, CA, USA.

I'm the cofounder of Krea (https://www.krea.ai/), a company building creative tooling and large-scale infrastructure for multimedia teams. Users range from hobbyists to world-renowned creatives: architects behind the World Trade Center or creative teams at Apple.

We treat research, engineering, and creativity as first-class citizens. We're looking for engineers to join our research, product, and infra teams.

What we value (staff & company writings):

- AGI: https://www.matthewnewton.com/blog/arc-challenge-diffusion

- Diffusion research: https://re-n-y.github.io/devlog/rambling/steering/

- Pragmatic LLM reflections: https://maxemitchell.com/writings/i-read-all-of-cloudflares-...

- Low-level computing: https://gab-menezes.github.io/2025/01/13/using-the-most-unhi...

- Open-sourcing AI research: https://www.krea.ai/blog/flux-krea-open-source-release

Current projects:

- WebGL2/WebGPU for node-based tools & CRDTs for collaboration

- Large-scale multimodal model training

- Cross-service metrics, tracing, and observability

- LLM-driven JS bundle optimization

---

Please apply via `ssh apply@krea.engineering`

You can also apply via https://krea.ai/careers but that's no fun.

As suspected, this project was possible, in part, because of LLM models. I have also been exploring in using LLMs for Gameboy Color testing.

There is something quite ironic about old hardware becoming increasingly useful due to current developments in AI research. I wonder about the repercussions of this.

An (ex-) Senior VP at Salesforce is not worried about running out of work.

thx lol -- why is this on the front page?

¿Por qué no los dos?

See also: https://walzr.com/IMG_0001/

krea.ai | Senior Backend Engineer | San Francisco, CA | ONSITE | https://www.krea.ai

krea does AI research & builds AI tools for image generation, video generation, node-based workflows, LoRA training, and more. Small, mostly in-person team with a view of Alcatraz from the office window. Our users range from hobbyists all the way to professional designers at Apple or architects at firms behind The World Trade Center or Burj Khalifa.

We're looking for senior backend engineers. You'd work across our SvelteKit app (Postgres, Redis, Docker, ClickHouse), Python ML inference on GPU clusters, and k8s clusters across multiple cloud and GPU providers.

Some recent projects:

- building canary deploys with cookie-sticky traffic splitting

- implementing durable execution for long-running workflows

- designing our public API with OpenAPI docs auto-generated from Zod schemas

- implementing enterprise-grade authentication, authorization, and permissions

- optimizing ML inference for our hosted image generation models

We care way more about first-principles and core engineering skills rather than specific shenanigans around programming languages or particular tooling—knowing a lot about old UNIX principles is a plus though.

You should be comfortable owning things end-to-end. Experience with GPU infra is a plus. Many of us have some kind of creative background, it helps when building tools for creatives but is not a requirement by any means.

To apply, email d+hn@krea.ai (use the +hn suffix to make sure your email is prioritized!)

It’s great but it ain’t no Mr. Robot.

What do you mean?

As in, OpenAI, Anthropic, and Google's models won't follow instructions regarding forensics for this?

We're also skeptical of how AI is being used. Let us know if you have obvious horrible mistakes so we can fix them.

We also are working on crowdsourcing methods, but it's hard because almost everyone involved in the development of this project is a volunteer that either works for a company already or is a startup founder (me)... so is very tricky to find time.

Also, feel free to check Jwiki (FKA Jikipedia) at https://jmail.world/wiki

It links to the original documents released by the DOJ.

Also, just like LLMs hallucinate and it's up to the person to decide to commit the code into the repo (and they should be held accountable to that), the same applies to people who use this tool to release fake news.

Of course, we try to apply as many "ground-truthing" techniques as possible.

Journalists of all kinds are using Jmail already for their professional work and we are in touch with them when they give us feedback. For example, we've redacted victim's names that we would've not known except for the work of tons of volunteers and journalists—and yes, this was NOT redacted by the DOJ and should have.

But ofc, this is a thorny trade-off between victim protection and censorship.

Disclaimer: I actively work on jmailarchive!

If you are interested in (2026-)internet scale data engineering challenges (e.g. 10-100s of petabyte processing) challenges and pre-training/mid-training/post-training scale challenges, please send me an email to d+data@krea.ai !

It's interesting to think that—independently of what you think of Cursor's browser implementation being truly "from scratch" or not—the fact that people are implementing browsers from scratch with agents happened because of Cursor's post. In other words, in a twisted and funny way, this browser exists because of Cursor's agent.

This is how we should be thinking about AI safety!

Hey, if you are ever looking for a job at Krea, just let me know!

Care is the most important trait of people who make great things; it's not money or time. Is not even skill.

I was interviewing a candidate yesterday and I noticed that a project inside their personal website was not working. I told him my opinion on care and he said that he hasn't had the time to deploy it, since he's been working on it for 2 weeks already and it was working on his local machine.

A few hours after the interview, the project was online.

The bitter pill of realizing the importance of care is that this applies not just to literary works, like Gwern's case, but it also applies to any creative endeavor: writing, music, drawing, and yes, software engineering.

That CLI tool without a tutorial. That product with a confusing sign-up flow. The purchase without a confirmation dialog such that I don't feel I was just scammed.

It's all the same. Lack of care.

I've also noticed that when caring is there, skills follow.

Dang, you should change it to "Lopado­temacho­selacho­galeo­kranio­leipsano­drim­hypo­trimmato­silphio­karabo­melito­katakechy­meno­kichl­epi­kossypho­phatto­perister­alektryon­opte­kephallio­kigklo­peleio­lagoio­siraio­baphe­tragano­pterygon" via your admin superpowers!