Yang Song

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Yang Song

Yang Song

@ysongtwitt

Solution Architect, Alibaba Qwen. Previously Autonomous Driving Engineer, Ph.D. in Robotics.

Frankfurt am Main Katılım Haziran 2011
676 Takip Edilen144 Takipçiler
Yang Song retweetledi
Fae°❀⋆.
Fae°❀⋆.@richuwifey·
my dream home definitely includes a tiny coffee corner and slow little morning rituals ☕️
Fae°❀⋆. tweet mediaFae°❀⋆. tweet mediaFae°❀⋆. tweet mediaFae°❀⋆. tweet media
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Yang Song
Yang Song@ysongtwitt·
@chris_j_paxton Agree. Software, especially middle ware, has never been the focus in robotics field. Compared with algorithms, sensors, and models
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altan tutar
altan tutar@altantutar·
All the venture money in robotics is going to three verticals: 1/ The robot body (Figure, 1X) 2/ The robot brain (Physical Intelligence, Skild AI) 3/ The infrastructure around the brain, mainly data collection, simulation, pre-training stacks If you're now starting a company in any of these three, one of two things has to be true: > You have a PhD from a top-institution in robotics and did world-class research over the last ten years. > You have a sharper insight into what would work, and articulate it very clearly. If none of these are true, you are probably better off spending your time on deployment. Essentially, become the operator who knows what the robot has to do, in what order, against which constraints to earn its position within a vertical. If you can do that, I think there's two clear outcomes: 1/ You build the robot, because your customer insight is so specific that you can only build that robot. 2/ The frontier labs acquire you for the relationship. They have the model. They need the customer. You have built the customer relationship over the years.
Joe Harris@_joe_harris_

we need more FDEs in robotics. someone who can: - deploy the robot, watch the telemetry, and spot what's wrong - trace a bug through coupled systems where the sensor is blaming the controller and the controller is blaming the sensor - reproduce a problem that only shows up one in ten runs - compare performance across different units running the same software - decide which tests can be skipped and what actually needs attention - close the loop between "that was weird" and "here's the fix" in minutes and give them the tools to do this at scale!

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栗原さくら🌰6/7ティア【せ16b】
ドイツに無事着いたのですが、アジア人が少なくて(当たり前)、午後6時でも昼間のように明るくて、日差しが強いけど湿気ってなくて、売ってるものが全然ちがくて、言葉も全然わからなくて、でもつたない英語で道を聞いたらみんな優しく教えてくれて「Have a nice day!」って言ってくれてすごく嬉しくて、なんだか自分が自分ではないみたいなフワフワした気分で、そして何となく買ったサラダが山盛りで、豆が超いっぱい入っていました
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Yang Song
Yang Song@ysongtwitt·
@MarioNawfal right. The best way is not solving a problem but stop creating the problem
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Mario Nawfal
Mario Nawfal@MarioNawfal·
🇨🇳 China has developed autonomous robots to clean pollution from rivers and lakes Ingenious, but maybe stop polluting them as well, eh?
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Yang Song retweetledi
Y Combinator
Y Combinator@ycombinator·
In a recent batch talk, YC General Partner @t_blom broke down how to build a self-improving, AI-native company. He walks through how to create recursive, self-improving AI loops, and why founders who get this right will run companies that improve while they sleep. 00:00 — Companies Are Roman Legions 00:54 — Copilots Are the Wrong Mental Model 01:55 — Extract the Domain Knowledge 02:24 — The Recursive Self-Improving Loop 04:12 — The Holy Shit Moment at YC 05:50 — Self-Optimizing Product and Support Loops 06:29 — Burn Tokens, Not Headcount 07:23 — Middle Management Is Over 08:05 — Make Everything Legible to AI 09:40 — Regenerating the YC User Manual 11:19 — Software Is Ephemeral, Context Is Valuable 12:18 — Where Humans Still Matter
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Iona Towers
Iona Towers@Lady_Iona·
@ysongtwitt @ChinaEV_Eng_Lif Here in Germany you must pay a hefty blocking fee, if you do no leave the charger when charging is finished. But, but to trash a car: No way!
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Yang Song retweetledi
Yang Song retweetledi
xiong-hui (barry) chen
xiong-hui (barry) chen@xiong_hui_chen·
One more thing 🚀 Qwen’s agentic capability is no longer limited to the digital world — we’re bringing it into physical world. With our in-house robotic agentic system and navigation model, Qwen can now control a robot to execute tasks in real-world. #qwen #embodied #robotics
xiong-hui (barry) chen@xiong_hui_chen

our qwen 3.7 max is released, try our best toward agentic frontier🚀 qwen.ai/blog?id=qwen3.7 #qwen

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Nandini
Nandini@N_and_ni·
Machine learning…….
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Yang Song@ysongtwitt·
@GermanSimply_ ahha, could not agree more. the automated phone menu always KOs me. It is hard to dial the phone meanwhile using google translate app, so I created my local app for this using LLM.
GIF
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German Simply 🇩🇪
German Simply 🇩🇪@GermanSimply_·
𝟳. Your German will be tested daily – in ways no textbook prepared you for. The bakery. The doctor. The Bavarian neighbour. The automated phone menu at impossible speed. 𝘏𝘰𝘤𝘩𝘥𝘦𝘶𝘵𝘴𝘤𝘩 gets you through. Exposure is the only real solution. Start before you arrive.
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German Simply 🇩🇪
German Simply 🇩🇪@GermanSimply_·
Everyone tells you about Germany's efficiency. The punctuality. The engineering. The order. Nobody warns you about the other things. The things you only discover after you've already moved there. 10 of them. Right here. 🧵🇩🇪
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Yang Song
Yang Song@ysongtwitt·
@sutoroveli_news Only certain groups of customers like soldiers and monks can be served right?
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NEW【テクノロジーニュース】
【誕生】客の頭をスキャンして自動で髪を切るロボットが街に登場した。3Dスキャンで顔の形と髪質と希望スタイルを分析しロボットアームがミリ単位で正確に切る。中国の都市部で1回約60円という低価格で複数の理髪キオスクが運用されている。
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Yang Song@ysongtwitt·
@tokufxug bravo. Once people in the AD field realize its true power, 80% of repetitive data infra pains could be cured
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Sadao Tokuyama
Sadao Tokuyama@tokufxug·
自動運転データセットを扱うオープンソースライブラリ「123D」。 KITTIやWaymo等の異なるデータ形式を統一し、センサーやHDマップの共通表現を提供。 Apache Arrow採用で高速動作し、3,300時間の走行記録で評価や共同訓練を効率化します。(リンクはリプ欄)
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Yang Song
Yang Song@ysongtwitt·
Once it becomes a new data layer standard, it boosts the embodied ai development. 模型决定上限,数据基础设施决定能否真正到达那个上限。
谁是藏镜人@VedaAI00

这可能是自动驾驶研发领域「数据工程」最硬核的一次暴力提效。 看到日本 XR 专家 @tokufxug 推荐的开源库 **123D**,我第一反应是:那些还在为了 KITTI、Waymo 等不同数据集格式反复写解析脚本的工程师,真的该看看什么叫「物理级的格式对齐」。 这个库的工程逻辑极其「残暴」: - **全量数据集协议平移**:它将 heterogeneous(异构)的传感器数据,暴力统一到了 Apache Arrow 格式。这意味着无论原始数据是 Protobuf 还是 ROS bag,在你的代码里都变成了标准化的 Columnar(列式)流。 - **Zero-copy 暴力吞吐**:基于 Arrow 的内存映射机制,数据读取几乎没有序列化开销。这种对 I/O 瓶颈的极致压榨,让训练 Foundation Models 的吞吐量直接原地起飞。 - **存储语义对齐**:它采用引用原始路径的策略,避免了 TB 级传感器数据的物理重复存储。这是在用最聪明的架构管理最暴力的数据。 这就是我一直盯着的:**具身智能的门槛,往往不在算法,而在于你处理「物理现实数据」的基建带宽。** 关注 @VedaAI00,同步全球最炸裂的自动驾驶与工程数据实践。👇

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Tongyi Lab
Tongyi Lab@Ali_TongyiLab·
1/6 Introducing Qwen3.5-LiveTranslate: Next-gen real-time interpretation is here. 🌍 We’re breaking down language barriers with 3,500+ language pairs, ultra-low latency, visual context, real-time voice cloning, and hotword customization. Engineered to help you ship native, frictionless real-time translation experiences to a global audience.
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AYi
AYi@AYi_AInotes·
holy shit😭 这绝逼是2026年顶级产品该有的营销,3秒胜过30页白皮书! 一个卖数据层的公司, 用一个机械臂彩蛋, 把所有B2B营销按在地上摩擦, 把最硬核的概念变成最上瘾的玩具,真的太炸了💥 以后所有B2B公司的官网 都应该被这个机械臂枪毙一遍!
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Yang Song retweetledi
Cat Posts
Cat Posts@Catpostx·
Mom is sleeping; she's tired. 🤫 🥰
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