ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol

Head of AWERXAI at @relativityspace. Fomer Co-founder @XNet_Mobile ⓧ, Former CTO Google X. @rdevaul on LinkedIn, GitHub, writing on Medium

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@ViC305 This looks amazing, @ViC305 :)

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@annadgoldie This is exciting. I’m a huge fan of your approach - keep up the good work!

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

If these performance numbers hold up in real world use, this could be a game changer. As an aerospace professional, I don’t want to have to choose between high-performance open weights and US based for my agentic engineering applications.

[Cruz @ViC305]

🚨 At last a USA based company who invested $32M in compute to train this model from scratch! They beat Qwen3.8-27B and 35
B-A3B and all the leading USA frontier models like Beam 501B and Meta Muse Spark Open 816B on multiple benchmarks! 🚀🔥🤯

Ripple-65B Preview (65B dense) is punching well above its size on agentic coding:
• TerminalBench 2.1: 80.5%
• SWE-Bench Pro v2.0-Hard: 79.1%
• DeepSWE v1.1: 44.3%
For context vs smaller models:
Qwen3.8-27B → 73.0% / 61.7% / 42.2%
Qwen3.6-35B-A3B → ~51.5% (TB 2.0) / 49.5%

As per their read me “a 65B parameter dense Transformer model pretrained on 12 trillion tokens with support for up to 1M context length. Ripple-65B Preview delivers strong results on agentic coding, scoring 80.52 on TerminalBench 2.1 and surpassing significantly-larger US open-weight models such as Reflection Beam 501B (80.1), Meta Muse Spark Open 816B (76.4), Thinking Machines Inkling 975B (63.8), and NVIDIA Nemotron 3 Ultra 550B (56.4).” 🤯🤯

Going to put this model through its paces and really validate these claims! Stay tuned!!

[Cruz @ViC305]

It’s extremely important that the open sourced community is made aware of all quantization formats that can provide the most value for the least amount of GPU/VRAM and that’s where EXL3 by @turboderp_ comes in to shine. I’ve coined my own EXL3 quantization process called SAGE(Sentinel Assisted GPU-aware EXL3) that has grown over the last few months into a contender that can score higher than even its 8bit GGUF counter parts with Deepseek v4.1 Flash 1017 being the model in the spotlight, while running on one DGX Spark. I’ve been able to achieve a 94% top agreement at 1.55Bpw effectively breaking into the One DGX Spark Pareto Frontier. With that being said, here’s an article of proof that I, a one man team with the resources of a company I work for that’s currently in stealth, put together to demonstrate the strengths and weaknesses of my quantization process on how a sub 2bit quant can exceed the intelligence and quality of 2-8bit quantizations in GGUF. You’ll also find a HuggingFace dataset of proofs and results! Thank you to @UnslothAI & @mhelcig for bringing up this unsolicited challenge by pushing the capabilities of GGUF forward and @NVIDIAAI @NVIDIARTXSpark for bringing frontier model access to our desk by ways of the RTX and DGX Spark platforms! Here’s to fitting more of what counts in the GB10 🫡🙏
🏆 HMMT: 70.27% above all 8.
🧮 AIME: 95.42% above 5/8.
📋 IFEval: 92.05% above 1/8.
Article:
https://t.co/M3zKxJNiFE

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

Skelly is coming together. Next: full AI control

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@reidhoffman Hey, Reid. I bet I could build something quite competitive right now

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@Scobleizer @Hi3D_AI You can now use AI to do real mechanical engineering -- this is a fully agent-designed "mars" style rover chassis you can 3D print: https://t.co/ufViW7FPiX

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

And based on what I'm seeing in my feed, the security of closed-source software isn't any better. It's no harder for AI to decompile an executable than it is to trawl through GitHub repos

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

Do you think the current "bug tsunami" is bad? I just did back-of-the-envelope math and estimate the number of the number of critical, undiscovered vulnerabilities in widely-deployed OSS projects is conservatively 2,000 to 10,000, with 100-300 "PhP grade" - get ready

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

Heh - I appreciate the https://t.co/gTEePz3u5b shout-out, Matt :)

[MattyG @meawoppl]

left Claude/Codex alone with a 6 hour deadline to make "unhinged" promo for my agent-portal tool

[MattyG @meawoppl]

left Claude/Codex alone with a 6 hour deadline to make "unhinged" promo for my agent-portal tool

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@BitcoinRaider Still hodling

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

To be fair, there are things about OpenShell that I like, and important features that xshell has designed that I think OpenShell is lacking. But it's good to see that agent accountability and reliablity are now first-class concerns for production workflows

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

Looks like my xshell project https://t.co/mEgLCP3HRs has been scooped by the @NVIDIAAI OpenShell project -- I guess I'm just ahead of my time ;)

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@pronounced_kyle Cool demo, but a $100 FPV drone with a warhead is vastly cheaper and more practical as a weapon. The battlefield robots are already here, they just don't look like C3PO or do kung fu, and they cost 100x less

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

@ViC305 @AWERXAI @deepseek_ai Great work, @ViC305 – this approach to quantizing models in an effectively lossless way could be a game-changer for local inference

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

Clearly these gym scrubs have not mastered the /goal function

[Scott Foo @ScottFooSpeaks]

Only in SF. No vibe coding between sets.

Be present. Lift harder. Ship later.

[Jeremy Mika @jeremymika]

As many are looking to build agentic/generative/AI CAD, we have focused on building the tools that agents need to become engineers, following the same rules we do.

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

and yes, this is real, functional suspension -- no conventional CAD tools used, just agents and https://t.co/gTEePz3u5b

[ⓧ Richard DeVaul 🚀🇺🇸💪 devaul.sol @rdevaul]

What's this? Only a fully agentically-designed model "mars" rover with parts you can 3D print and build yourself. 100% agent-designed, 100% open-source. Thanks to @GeKinsman @jeremymika and @AWERXAI — check out https://t.co/ufViW7Fhtp for full details