
machine learning hacker @splice. previously @replicate @huggingface @lightningai
Austin, TX
Joined January 2017
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Nate Raw retweeted
Today we're coming out of stealth, introducing Neywa Labs 🚀
We built the infrastructure to build and deploy AI that runs on the devices people already own. Private, offline, unlimited.
One mission: make AI available to everyone in the world.
neywalabs.ai/
Consensus seems to be new DeepSeek v4.1 Flash is enough for this (and is preferred over GLM 5.3 Flash Ablit ckpt)…is the quant that runs DS on 2xSparks enough or is it nerfed?
If anyone has evals please share!
Any folks using NixOS on cluster of DGX sparks? Is this the move?
github.com/graham33/nixos-dg…
😂😂😂 who paid him to say this
Dylan Patel (@dylan522p) of @SemiAnalysis_ says open source is dying:
"There's multiple Chinese model labs who are telling all the inference guys, 'Our next model's not going to be open source. We're going to license it to you.'"
" Open is dying quickly, unfortunately."
Readers added context they thought people might want to know
This July 2026 quote (recirculated without date) claimed Chinese labs were shifting away from open source. Multiple labs have since released large open-weight models, including Qwen updates in Aug-Sept 2026.
huggingface.co/blog/state-of-…
rits.shanghai.nyu.edu/news/
wired.com/story/chinas-o…
x.com/sourceryy/stat…
Cool but show me the eval
This is for you single DGX Spark owners 💫
You can now run Qwen3.8 Flash NVFP4 on one DGX Spark with great performance!
- Up to 1M context, 1,431,164 KV cache
- Full image & video support
- 37 decode tok/s on prose single stream
- Up to 86 tok/s on prose 4 concurrent streams
- 1500-2000 tok/s prefill on any size.
- Stress tested with 400k prefill - passed.
IMO this is the BEST model to run now on a single dgx spark. It's better than Qwen3.8-27B, and also better than the 1x dgx spark version of DeepSeek v4 Flash.
Get it here:
github.com/MiaAI-Lab/Qwen3.8…
Nate Raw retweeted
Super happy to officially announce that we are a̶c̶q̶u̶i̶r̶i̶n̶g̶ joining forces with @nvidia 🔥
Here is a more personal take:
AI is at an inflection point. Open source AI can become less relevant in the coming years if the big closed labs run away with it, OR it can become the foundational fabric of the next phase of human civilization.
Those are vastly different outcomes, and we need the critical mass to ensure we give our collective best shot to the second outcome. Given @JensenHuang's stance on open source AI and how he stepped up to defend it when it was under threat earlier in the summer, NVIDIA was the only partner we truly considered.
HF will remain an independently run, neutral platform.
This gives fuel to our long-term vision and mission of unlocking the community's progress to ensure that AI, which is the greatest breakthrough of our lifetime, is accessible to as many people as possible.
One million blood-pressure readings. Every one taken by a patient at home, in the middle of real life.
When I realized we’d crossed that line, I started digging. Not just to see if the technology worked, but to understand what our patients were actually experiencing.
Can’t even see the site til someone uses my referral code smh
local.ai/nateraw/invite












