hwers (u/hwers) - Readit News

hwers commented on Like digging 'your own grave': The translators grappling with losing work to AI cnn.com/2026/01/23/tech/t... · Posted by u/myk-e

vhhn · 16 days ago

Anyone else worries that by contributing to open source software these days one is also digging his/her own grave?

hwers · 16 days ago

I’ve moved to more closed source projects for this reason (just for the fun of coding rather than sharing). Though I suspect they still use private github repos in their deals to microsoft

hwers commented on Games Workshop bans staff from using AI ign.com/articles/warhamme... · Posted by u/jsheard

hwers · a month ago

I was in management i probably also wouldn’t like my designers to use AI. I pay them good money to draw original pieces and everyone can tell and it looks generic when AI is used. I’d want my moneys worth

hwers commented on Apple releases open-source model that instantly turns 2D photos into 3D views github.com/apple/ml-sharp... · Posted by u/SG-

singpolyma3 · a month ago

Releasing weights is fine but you also need to be allowed to... Use the model :P

hwers · a month ago

You’re perfectly free to use it for private use, model output have been deemed public domain

hwers commented on AI Bathroom Monitors? Welcome to America's New Surveillance High Schools forbes.com/sites/thomasbr... · Posted by u/pseudolus

kmoser · 2 months ago

> The report also found that the surveillance fostered an atmosphere of distrust: 32% of 14 to 18-year-old students surveyed said they felt like they were always being watched.

Only 32% felt they were always being watched, but in reality 100% of them were always being watched.

hwers · 2 months ago

68% felt like they were being watched but didn’t feel safe to admit so because they didn’t trust the report were truly anonymous

hwers commented on Nvidia GPU roadmap confirms it: Moore's Law is dead and buried theregister.com/2025/03/2... · Posted by u/pseudolus

hwers · 10 months ago

If price per compute keeps going down we effectively keep having moore’s law for parallel compute like GPUs. (Just get better at making ML models that don’t have as big of a communication bottleneck.)

hwers commented on Stability.ai sent a take down request to Runway ML's SD v1.5 citing IP Leak huggingface.co/runwayml/s... · Posted by u/amrrs

pabs3 · 3 years ago

Doesn't the "OS license" mean that Runway has permission to release it already? Ack that there might be other agreements and business relations involved though.

hwers · 3 years ago

Release it, fine. There’s been lots of fine tuned and continued trained SD models. Just don’t call it “1.5” which is the specific label for the model stability is training internally. Again the license ‘permits’ them to do it but seems like a very bad business decision since runway given what their service does would likely benefit hugely from early access to eg stability’s future text2video models (etc), which they now likely won’t get until everyone else (leaving someone else to possibly take market share in their field, and if this is the trade - because they got ‘impatient’ - that seems awfully not smart).

hwers commented on Stability.ai sent a take down request to Runway ML's SD v1.5 citing IP Leak huggingface.co/runwayml/s... · Posted by u/amrrs

the_duke · 3 years ago

To me it seems the other way around.

1.5 was apparently held back by Stability for weeks. Runway finally decided to just release it.

Stability requested a take down, and here you see the Runway CEO telling Stability in no uncertain terms "this ours to release, we created it, it's under an OS license, you don't hold any IP rights here; all you did was provide compute"

If anything this is a pretty stern rebuke of Stability and a sign of considerable disagreement between the two parties.

hwers · 3 years ago

Well if that’s the case that’s still a pretty shitty thing to do on runways part. Just be curteous to what stability’s needs are, keep good business relations. Weird behaviour and I wouldn’t be surprised if in the future runway are silently excluded from before-public releases (which seems to be many in the years ahead).

hwers commented on Stability.ai sent a take down request to Runway ML's SD v1.5 citing IP Leak huggingface.co/runwayml/s... · Posted by u/amrrs

capableweb · 3 years ago

Seems the CEO/Founder of Runway has replied that there hasn't been any leaks and it's a proper release, made as permitted by the license and therefore should be online soon again.

> Cris here - the CEO and Co-founder of Runway. Since our founding in 2018, we’ve been on a mission to empower anyone to create the impossible. So, we’re excited to share this newest version of Stable Diffusion so that we can continue delivering on our mission.

> This version of Stable Diffusion is a continuation of the original High-Resolution Image Synthesis with Latent Diffusion Models work that we created and published (now more commonly referred to as Stable Diffusion). Stable Diffusion is an AI model developed by Patrick Esser from Runway and Robin Rombach from LMU Munich. The research and code behind Stable Diffusion was open-sourced last year. The model was released under the CreativeML Open RAIL M License.

> We confirm there has been no breach of IP as flagged and we thank Stability AI for the compute donation to retrain the original model.

https://huggingface.co/runwayml/stable-diffusion-v1-5/discus...

Edit: According to Discord messages from Emad Mostaque (founder of Stability AI) they have taken back the takedown request and seems this is the official release of the Stable Diffusion model version 1.5.

hwers · 3 years ago

Sounds to me like runway released it without consulting stability, called it “1.5” - which according to the license they’re allowed to do but pretty scammy since emad had hyped a model with that label. And now stability is deciding to call this the official release to be nice to runway and avoid a general PR thing and community infight.

hwers commented on Tinyphysicsengine: Minimalist 3D C99 single-header physics engine codeberg.org/drummyfish/t... · Posted by u/nateb2022

hwers · 3 years ago

Seems really useful in a wasm context