asdf

[asdf @andrewcy]

What the fax?! I guess faxing isn’t dead 🤷‍♂️ Use Dropbox Fax by @DropboxSign to send and receive faxes from anywhere. #DropboxFax https://t.co/1FMmwepcfY

[NVIDIA @nvidia]

Efficiency isn’t just about better tools anymore—it’s about autonomous teammates.

Get ready for a CLAW-some NVIDIA GTC:

If you’re joining us at #NVIDIAGTC, stop by our Build-a-Claw experience in GTC Park and be sure to check out the dozens of sessions, Connect with Experts, and training focused on Claws and the future of self-evolving AI. ➡️https://t.co/Mjbbz3g2DK

Can’t make it in-person?

Join us virtually with a free pass to access 700+ sessions on-demand.

[NVIDIA AI Developer @NVIDIAAIDev]

🎊 Kudos to the teams at @Alibaba_Qwen on the launch of Qwen 3.5 with Qwen3.5-397B-A17B.

🙌 Developers can start building today for free: https://t.co/OZF3E5l51c 

Or download and customize it with NVIDIA NeMo: https://t.co/t67g3qbzLZ

[NVIDIA AI Developer @NVIDIAAIDev]

Congrats to @StepFun_ai on the release of Step-Audio-R1.1 and the #1 leaderboard result.

Step-Audio-R1.1 is optimized for NVIDIA GPUs and designed for real-time, high-accuracy voice agents.

Check it out 👉 https://t.co/iDVDHrm5ok

[asdf @andrewcy]

@dkhos, @Uber, @Uber_Support

[asdf @andrewcy]

Hey @UberEats, this is ridiculous. I ordered food, and the merchant accepted it in 6 seconds. Support refused a refund because of some “guidelines,” yet no one can show me where those guidelines even exist. If you can’t provide transparent policies, how can customers trust you?

[NVIDIA @nvidia]

📣 NVIDIA Blackwell sets the standard for AI inference on SemiAnalysis InferenceMAX.

Our most recent results on the independent benchmarks show NVIDIA’s Blackwell Platform leads AI factory ROI—— see how NVIDIA Blackwell GB200 NVL72 can yield $75 million in token revenue over three years for DeepSeek R1.

Learn more: https://t.co/yzoZEGCt7W

[asdf @andrewcy]

Test

[Jim Fan @DrJimFan]

If an AI can control 1,000 robots to perform 1 million skills in 1 billion different simulations, then it may "just work" in our real world, which is simply another point in the vast space of possible realities. This is the fundamental principle behind why simulation works so effectively for robotics.

Real-world teleoperation data scales linearly with human time (< 24 hrs/robot/day). Sim data scales exponentially with compute.

There are 3 big trends for simulators in the near future:

1. Massive parallelization on large clusters. Physics equations are "just" matrix math at their core. I hear GPUs are good at matrix math 🔥. One can run 100K copies of simulation on a single GPU. To put this number in perspective: 1 hour of wallclock compute time gives a robot 10 years (!!) of training experience. That's how Neo was able to learn martial arts in a blink of an eye in the Matrix Dojo.

2. Generative graphics pipeline. Traditionally, simulators require a huge amount of manual effort from artists: 3D assets, textures, scene layouts, etc. But every component in the workflow can be automated: text-to-image, text-to-3D mesh, and LLMs that write Universal Scene Description (USD) files as a coding exercise. RoboCasa is one example of a prior work.

3. End2end neural net that acts as simulator itself. This is still bluesky research and quite far from replacing a graphics pipeline, but we are seeing some exciting signs-of-life based on video gen models: Sora, Veo2, CogVideoX, Hunyuan (text-to-video); and action-driven world models: GameNGen, Oasis, Genie-2, etc.

Genesis does great on (1) for certain tasks, shows good promises on (2), and could become a data generation tool for reaching (3). Its sim2real capabilities for locomotion are good, but there's still a long way to go for contact-rich, dexterous manipulation. It shows a bold vision and is on the right path to providing a virtual cradle for embodied AI. It is open-source and puts a streamlined user journey at the front and center.

I had the privilege to know @zhou_xian_ and play a small part in his project since a year ago. Xian has been crunching code non-stop on Genesis with a very small group of core devs. He often replied to my messages at 3 am. @Zhenjia_Xu from our GEAR team helped with sim2real experiments in his spare time. Genesis is truly a grassroot effort with an intense focus on quality engineering.

Nothing gives me more joy than seeing the simulation ecosystem bloom. Robotics should be a moonshot initiative owned by all of humanity.

Congratulations.

[NVIDIA AI Infrastructure @NVIDIAAIInfra]

Join NVIDIA's Phil Rogers, VP System Software at the #CCSummit in San Francisco on June 29 to discover how confidential computing on NVIDIA H100 GPUs can protect sensitive data and AI models in-use and accelerate the path to derive business value from AI.
https://t.co/js3imxmrQJ

[asdf @andrewcy]

NVIDIA MGX: Data Center Architecture for Accelerated Computing https://t.co/ljDO7HDa6O

[asdf @andrewcy]

@MinChen1314520 @NVIDIAGTC 我觉得是的

[NVIDIA GTC @NVIDIAGTC]

Discover how machine learning is changing the consumer internet landscape. Hear Yibo Zhu discuss how ByteDance uses GPU clusters to drive their complex infrastructure at #GTC22. Sep 20, 12 p.m. PDT online. https://t.co/1GrjfORhnH

[NVIDIA GTC @NVIDIAGTC]

Discover the latest breakthroughs in NVIDIA technology from subject matter experts and get trained through hands-on technical workshops at #GTC22. Join us online Sept 19-22. https://t.co/epIhMoCokZ

[asdf @andrewcy]

Do you remember when you joined Twitter? I do! #MyTwitterAnniversary

[asdf @andrewcy]

@haojianzong 这是纯UI工具？不能连接实际的account？

[asdf @andrewcy]

@Hayami_kiraa 叮咚好难抢…哎，我们小区给力，团长们团购比电商靠谱多了…加油加油！

[asdf @andrewcy]

@river_leaves 开水下锅6.5分钟，就是溏心蛋

[asdf @andrewcy]

@RimuroSuraimu 我司晚餐这么给力的么？？