ClaraChengGo

@sundayrobotics Looks amazing!🤩

1,709 → 72,000 sq. ft. in two years Welcome to Sunday’s new HQ.

@elonmusk @NICKIMINAJ pls make Nicki Minaj's next MV in the space 😂

Welcome to Starbase, @NICKIMINAJ!

Our build night was a huge success! Thank you to all the technical teams for showing up and launching on OM1. Winners received exclusive OpenMind backpacks and showcased their amazing demos including: - Robot that mirrors human motion in real time - New robot form-factor abstracted and automated in just 30 minutes - Autonomous drones controlled in simulation by natural language It will only get easier to build applications from here.

Come watch our engineer @prachi1615 present this Friday at @Github's Open Source Friday! She will be presenting OpenMind's OM1 platform and walk through how developers can start building on it. Link to watch below:

@adcock_brett @hark_labs Congratulations!

Today I'm excited to share that Hark has raised $700M at a $6B valuation When I use these AI models today, they feel basic. They should be able to listen and talk naturally, understand vision, retain persistent memory, and become deeply personalized over time. They should be able to see the world, interact with it, and take action To build that future, the capital we raised today will be used to: → scale our GPU infrastructure → accelerate future AI model development → grow the Hark team from ~70 to 200 engineers → design and build the next generation of AI hardware The Series A round was led by Parkway Venture Capital with participation from NVIDIA, Align Ventures, AMD Ventures, ARK Invest, Brookfield, Greycroft, Intel Capital, Prime Movers Lab, Qualcomm Ventures, Salesforce Ventures, and Tamarack Global At Hark, we are building the most advanced personal intelligence in the world. Intelligence that begins to think like you and sometimes, ahead of you to offload your mental workload

@Valley101_Qian beyonce同款鼓风机哈哈

用了吹风机。吹风机的牌子叫美国德州休斯顿的狂风～ 💨

@Rewkang @RoboStrategy Amazing!

Proud to announce my position as CEO of @RoboStrategy. When I initially started looking into investing in robotics 2 years ago most VCs I consulted with recommended not to invest in the space. Robotics companies at this time did not have an easy time raising capital. The industry didn’t have a track record of big venture winners, was perceived to be challenging for a variety of reasons, and was not well understood. But it was clear to me that the rate of acceleration of physical AI development would dramatically change the industry. I invested $19m into FigureAI as my first investment. I believed it was a question of when, not if we could imbue machines around the world with physical intelligence. To accomplish this, the industry would need a tremendous amount of capital to grow, and also an investment firm that deeply understood the needs of robotics/physical AI companies so that it could build a platform to better support them. It will take hundreds of billions to capitalize the mechanized future meaning there is a big gap in the market. We decided we wanted to fill it. Previously, Mechanism Capital had never taken outside capital, but to do this at the scale I envision, I would need to do so. However, the private markets don’t have that scale. The public markets do, and it was clear that there is and likely will be tremendous appetite for public market investors to participate in the immense value creation happening in AI & robotics that only private market investors currently have the privilege of accessing. The explosive growth of AI companies is a precursor of what will happen in physical AI. So in 2025, we founded RoboStrategy and a year later, we took it public on Nasdaq. Throughout this year, we’ve assembled a great portfolio, started leading rounds of some amazing companies, and have built the foundation to be ready to scale to the next level after going public. We look different from a traditional VC firm in ways that founders appreciate. Our structure as a closed end fund means our capital is permanent - no fund life meaning we can invest with extremely long time horizons. Our investment firm also of course needs to have deep industry and research experience so that it can make the best risk reward optimized investment decisions. In the last year, we’ve brought on some truly exceptional robotics industry veterans who have previously served for decades as founders/operators. Many founders we talk to consider us as the most sophisticated venture capital firm they’ve talked to and we only intend to grow our expertise in the industry. RoboStrategy’s success depends on our ability to distribute the fund and capture maximal mindshare. This plays to our team’s strength in digital marketing and social media. We’re building a special marketing engine that serves as an attention amplifier for both us and our founders so that our products and stories can reach more people. A source of inspiration for our fund structure, Strategy (MSTR) raised tens of billions from public capital markets to invest in Bitcoin. I believe robotics will be a much larger industry than Bitcoin and the asset class is orders of magnitude less accessible. We are aiming to raise more and not only become the largest robotics investor globally, but also one of the largest venture capital funds in the world. Venture capital has traditionally been restricted to a limited group of investors. We are changing the paradigm and bringing it to the rest of the world. Be sure to follow @RoboStrategy. Job’s not finished.

Bookmark the Top 30 Robotics Data Provider from China🇨🇳: Lightwheel AI - 光轮智能 - Beijing - lightwheel.net PsiBot - 灵初智能 - Shanghai - psibot.ai Boden AI - 博登智能 - Ningbo, Zhejiang - bodenai.com Maniformer - 觅蜂科技（智元） - Shanghai - Not publicly available PaXini Technology - 帕西尼感知科技 - Shenzhen, Guangdong - paxini.com Lumos Robotics - 鹿明机器人 - Shenzhen, Guangdong - lumosbot.tech Wuwen AI - 无问智科 - Beijing - wuwen-ai.com JoyInside (JD Embodied AI) - 京东具身智能 - Beijing - robotdata.jdcloud.com DataOcean AI - 海天瑞声 - Beijing - dataoceanai.com Jinlianwen Technology - 景联文科技 - Hangzhou, Zhejiang - jinglianwen.com Galbot - 银河通用 - Beijing - galbot.com Manycore Tech Inc. - 群核科技 - Hangzhou, Zhejiang - manycoretech.com Baidu AI Cloud - 百度智能云 - Beijing - cloud.baidu.com GenRobot AI - 简智机器人 - Beijing - cn.genrobot.com Daimon Robotics - 戴盟机器人 - Shenzhen, Guangdong - dmrobot.com Datatang - 数据堂 - Beijing - datatang.com NetEase Fuxi Lab - 网易伏羲 - Hangzhou, Zhejiang - fuxi.163.com GigaAI - 极佳视界 - Beijing - Not publicly available (project page: gigaai-research.github.io/GigaWorld-Poli…) ArcheBase - 智域基石 - Shanghai - archebase.cn Galaxea AI - 星海图 - Beijing - galaxea-ai.com IO-AI Tech - 艾欧智能 - Shenzhen, Guangdong - io-ai.tech AgileX Robotics - 松灵机器人 - Shenzhen, Guangdong - agilex.ai MolarData - 整数智能 - Hangzhou, Zhejiang - molardata.com Kupas Technology - 库帕思 - Shanghai - Not publicly available Dexteleop Intelligence - 灵御智能 - Beijing - dexteleop.com Rere Data - 热热数据 - Quzhou, Zhejiang - reredata.com Tianyu Digital Technology - 天娱数科 - Dalian, Liaoning - tianyushuke.com Noitom Robotics - 诺亦腾机器人 - Beijing - noitomrobotics.com Changhong - 四川长虹 - Mianyang, Sichuan - changhong.com Synapath AI - 枢途科技 - Shenzhen, Guangdong - synapath.com

@karpathy from OpenAI founding team to Anthropic 👀

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

Look at the kitten's fur when the lady pets it! 👀

Thank the invitation from the Chinese factory girl @aililiuu !

@UnitreeRobotics is open SDK available?

Voice‑driven, real‑time arbitrary action generation😁 Using external voice commands, G1 is directly controlled to generate a wide range of actions in real time. This video was recorded in a single take, with on‑site audio recording. Because the actions are autonomously generated by AI in real time, there may be slight latency, and the smoothness of the movements may be somewhat reduced.

@BaslyAsma you both look amazing! 🤩

> Pull up to Nvidia HQ for a small meeting > 10 mins in Jensen walks by > mfw

@XBusiness embedded MCN 👀

@chris_j_paxton why is it only meaningful with a general purpose platform?

Would love to see more robotics companies do something like this (though its only meaningful with a general purpose platform)

I have been observing the audience reaction on X and here are what it taught us: >> “Marketing G-spot” doesn’t care about technical details >> There are 2 phenomenal robotics marketing up to now, @1x_tech launch video (view is even more than Elon's pinned post) and figure human vs robot. Both based on new media. >> Admit or not, new media algo favors opposition, conflict and scandal. Other 2 are def double-edged sword but opposition is applicable. Like each episode of @MrBeast

@zacharyvalles Welcome to my hometown : )x.com/ClaraChengGo/s…

72 hours after YC demo day, I moved to Shenzhen for 8 weeks 🤠 I'm headed back to SF with new hardware in hand (sharing more soon), but some takeaways documented below: > If you have even the slightest ambition to found a hardware company, visit SZ. Pre-raise, pre-team, pre-idea, pre-job departure, it doesn't matter. Just go. > Plan your visit according to a major conference that interests you. Use that conference as a supplier meeting springboard - that's your ticket to any factory under the sun. > At the factories, ask about lead times, don't ask about cost (wait on this). Your iteration rate is driven by the lead time on the longest lead time item in your assembly. It pays to identify these parts early to build project timelines. > Visit Huaqiangbei (read: this is a mini-city, not a building). Robotic subassemblies, batteries, chassis's, electronic parts. They all have buildings where vendors are tightly clustered. Plan to spend 4-6 hours walking around before you find exactly what you're interested in. > Business relationships are valuable commodities. Treat them as such. Pay attention to people, learn about them. Bring thoughtful gifts. Wait for them to sit first. With Baiju, fill the glass but with tea leave some room. Cultural customs are fun to learn, but also convey a seriousness towards the working relationship. > Suppliers fit cleanly into discrete buckets. Level of complexity and execution on past projects indicates what is in scope for them. Trivial, but important to level your build expectations. It is easy to design a part with 12 subsequent manufacturing processes, exceptionally hard to find a supplier to fill this order. If you need coffeeshop recs, food recs, or hotel recs I have a few. Move to Shenzhen! Get to building!

@UnitreeRobotics omggggg

Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 👏 The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside. Please everyone be sure to use the robot in a Friendly and Safe manner.

POV: when your sister works in AI robotics I taught my middle school sister about NVIDIA Cosmos-Reason model. Today she cried because she got a B (yes typical Asian student type), at the same time I was looking at the constraints on NVIDIA Cosmos-Reason model. I told her: “Look at this model. Born in a good family (Nvidia), got good foundation (good semantic understanding thanks to VLM progress), but still struggle with Affordance grounding. But to improve it, the most valuable data is actually FAILURE CASES, like blocked grasp and collision. It teaches constraint boundaries.” She was like, “can you stop talking like Sheldon from the Big Bang?” Me: 🤡