Nate Raw (@_nateraw) profile picture

machine learning hacker @splice. previously @replicate @huggingface @lightningai

Austin, TX
Joined January 2017
Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)Photo by Nate Raw (@_nateraw)
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/
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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!
Asking for a friend, what’s the best way to keep yourself secure now? Point an abliterated GLM 5.3 Flash at your own house and say “get into every system you can, leave a note saying I was here, and come back out with recommended security policies and defense mechanisms?”
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Reskate is one of the coolest open source projects I’ve seen in years. Community reaction has been staggering!! Hope I don’t get perma banned from EA servers for using it 😂
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Nate Raw retweeted
Y'all
we all wanted to skate in the gta 5 map, at this point we can just turn gta 5 into skate 3
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Wow that UT game was a heart breaker
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Ok so I hate the new @wandb UI @CoreWeave . As a paying customer can I pls have old UI back 🥲 Don't make me vibe code an alternative server pls, I'll do it.
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Love to see everyone working on the same things
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First “energized professional maker” job posting when?
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😂😂😂 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…
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The good news is the open source models aren’t gonna slow down
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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…
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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.
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Most annoying thing in local LLM space is everyone sharing their deployment speeds but mentioning nothing about evals 🥴
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Nate Raw retweeted
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.
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Just dropped by Amazon
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Idk why I let my friend convince me to install PopOS on a computer I wanted to use for gaming…time to install windows
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