Build what’s next. We’ll bring the stack. https://teapaw.org/t.co/Q3SblZHz9I
San Diego, CA
Joined December 2011
- Tweets2.2K
- Following1.9K
- Followers26.5K
- Likes1.9K
Come say hey at @AWSreInvent! 👋
Join fellow developers, engineers, and the @Qualcomm team in Las Vegas for demos and live sessions focusing on AI, open source, data centers, IoT, and more.
Learn more and register here: bit.ly/4BXDVs4
Qualcomm Developer retweeted
These are the coolest (they're powered by Snapdragon AR1 Gen 1 😎)
Introducing intelligent eyewear, built in partnership with Samsung and our iconic eyewear brands, Gentle Monster and Warby Parker. Now available for pre-order. Learn more at goo.gle/glasses_x
Qualcomm Developer retweeted
Chris Lattner’s #PyTorchCon keynote is now on YouTube. @clattner_llvm covers running models across more hardware with Mojo and MAX, and building an open developer ecosystem with @Qualcomm_Dev and @PyTorch.
youtube.com/watch?v=2XXf_iL1…
Build Computer Vision Applications with EyePop and Qualcomm Dragonwing teapaw.org/i/broadcasts/2rJXgbJbZ…
Build Agentic AI Across the Compute Continuum teapaw.org/i/broadcasts/2WXBPZXbe…
Somewhere between the frame you submitted and the GPU crash is the thing you actually need to find.
Adreno Crash Insight captures GPU crash data to help connect those dots: failure → frame → workload.
bit.ly/4jbjUH5
5
314
Want to experiment with LLM-driven NPCs in games? 🕹️ Our gaming team just introduced MindSand, an open-source project developers can use to explore natural-language commands, NPC personalities and runtime conversations.
See how the team put it to work in Starship Troopers: Extermination: bit.ly/3WnyJxw
At #electronica2026 Munich tomorrow? Add your voice to our Edge AI demo. 🎙️
Use your smartphone to contribute voice samples, then see the updated model trained with Edge Impulse and deployed live on Embedded Linux hardware.
📅 Nov 10 | 10:30–11:30 AM
Grab a ticket and join us: bit.ly/3XeiV0c
From shipping edge AI to building devices that understand their surroundings - that’s where our developer conversations are going at #WebSummit on November 10:
11:00 WET: Manny Singh on prototype → production with Qualcomm Dragonwing
16:00 WET: Ziad Asghar on physical AI, perception + context
In Lisbon? Join us. Elsewhere? Follow along.
ExecuTorch on Qualcomm: Train, Optimize, and Deploy to the NPU teapaw.org/i/broadcasts/2nQBYnmVL…
Device, edge, or cloud: where should each part of an AI agent run? At #WebSummit Lisbon, we’ll get practical about it.
On November 11, we’re teaming up with AHOY Technologies for a masterclass on agentic AI architecture, real-world edge deployment, and a live demo.
If you’re building agentic AI, come see how it works in practice.
Qualcomm Developer retweeted
LFM3 from @liquidai is now running on MAX. 🧑🚀
All 6 models in the suite are supported, across text, audio, vision, and omni. The implementations are open source, so you can read the code, run it, and build on it: max.modular.com/api/python/p…
Which modality are you trying first: text, audio, vision, or omni?
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ 🧵
We put Qualcomm Dragonwing IQ-9075 EVK in @nikodembartnik’s hands. The result? An edge AI experiment that gives home security a little more bite. 👀📢
Standard security cameras are useless - they just record people stealing your stuff. So I teamed up with @Qualcomm_Dev to build an AI camera system that screams personalized warnings at intruders instead. 🔈👀
“Package thief in the blue shoes—get out of here!” 🗣️
That’s just one of the infinite things this edge #AI doorbell camera can say to would-be porch thieves.
Watch as developer @nikodembartnik build this home security system using @Qualcomm Dragonwing IQ-9075 EVK: bit.ly/4yS8jBz
Good Linux support starts upstream. 🐧
Our engineers have been working upstream from day one on Snapdragon 8 Elite Gen 6 and Elite Extreme Gen 6, with initial kernel and subsystem support posted for review.
Go under the hood: qualcomm.com/developer/blog/…
It’s almost time to deploy… and then you find a memory leak 😱
It’s okay! We’ve all been scared during our development journey.
Tell us your spookiest #Halloween story below. 👇
