Yilin Harry Lu

94 posts

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Yilin Harry Lu

Yilin Harry Lu

@AstropowerDev

UMN csci, math, econ triple honors major | Sensemaking4AI & Human-AI Scientific Discovery | VIS+NLP+AI4Sci Researcher

San Diego, CA เข้าร่วม Eylül 2022
881 กำลังติดตาม94 ผู้ติดตาม
KK.aWSB
KK.aWSB@KKaWSB·
🚨Anthropico首席执行官表示,STEM(科学、技术、工程和数学)正在失去优势,而那些让你“更有人情味”的东西将决定你的未来。
KK.aWSB tweet mediaKK.aWSB tweet media
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Kimi.ai
Kimi.ai@Kimi_Moonshot·
Congrats to the @cursor_ai team on the launch of Composer 2! We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support. Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.
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Yilin Harry Lu
Yilin Harry Lu@AstropowerDev·
@peterwildeford Meta above CN labs is laughable, you also forgot the real frontier CN lab - bytedance seed.
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Peter Wildeford🇺🇸🚀
Peter Wildeford🇺🇸🚀@peterwildeford·
Based on the data I see, I think: - Anthropic🇺🇸/Google🇺🇸/OpenAI🇺🇸 all ~tied - Meta🇺🇸 / xAI🇺🇸 each ~7mo behind - Moonshot🇨🇳/- Deepseek🇨🇳 / zAI 🇨🇳 / Alibaba🇨🇳each ~9mo behind - Mistral🇫🇷 ~1.5 years behind - No other companies competitive
Ethan Mollick@emollick

Both xAI and Meta seem to be falling behind, based on the Grok 4.2 benchmarks and this reporting. Frontier AI models are really a three way race at this point.

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Eve 异野夕 w/ 异の泡泡针
Atlassian: 全球程序员和项目经理几乎每天都在用的协同开发与代码管理霸主(旗下有 Jira、Trello、Confluence 等)。 Canva(可画): 用极简在线模板和疯狂叠加的AI功能,把专业设计门槛打成“白菜价”并直接威胁Adobe的视觉巨头。今年要在纳斯达克上市。 Afterpay: 凭借一己之力向全球年轻消费者普及了“先买后付”(BNPL)分期模式的金融科技鼻祖(后被美国 Block 收购)。 Immutable X: 专注于以太坊二层网络扩容,专攻Web3链游和NFT交易的加密货币核心基建。 Synthetix: 在DeFi领域里,极其硬核且处于核心生态位的去中心化衍生品流动性协议。 Envato: 为全球独立开发者和设计师提供代码库、网页主题等数字资产交易的庞大线上集市(旗下拥有 ThemeForest)。 Linktree: 仅仅靠解决“社交主页只能挂一个链接”的微小痛点起家,最终垄断全球大V流量分发的超级链接聚合器。估值数十亿美元。 WiseTech Global: 用一套极其复杂的系统(CargoWise),垄断了全球头部跨国物流和货运代理公司底层数据流的工业级SaaS巨头。 Altium: 全球硬件工程师画PCB电路图时绝对绕不开的底层设计软件王者(已被日本瑞萨电子收购)。 Appen(澳本): 在AI大模型爆发早期,专门雇佣全球百万众包人员为硅谷巨头们做“喂饭工作”(数据清洗和人工标注)的超级数据包工头。 作为人口仅仅2000多万的国家,能够做出以上这些千亿美元级别的行业领军企业,算没有计算机行业吗? 天天网上离谱言论一个赛一个。
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澳洲木匠
澳洲木匠@aozhoumujiang·
澳洲一个没有计算机产业,没有工业的国家,这么多人留学学计算机,工业学科,真是挺搞笑的
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雲母 風莉
雲母 風莉@Kirara_Kazari·
雲母 風莉 tweet media
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柴郡🔔|Crypto+AI Plus
柴郡🔔|Crypto+AI Plus@0xCheshire·
高盛前 CEO 布兰克费因谈招人标准: 名校的平均水平和下限确实更高,但如果只看各校最顶尖那一批,非名校的尖子未必比哈佛差,甚至可能更强,因为他们往往是在更激烈的竞争里一路杀出来的。
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Ian Arawjo
Ian Arawjo@IanArawjo·
HCI venues need to seriously consider making their review processes more public than they are now. Going forward, less transparency may only hinder our ability to perform similar meta-analyses to diagnose problems as peer review demands expand.
ICLR 2026@iclr_conf

We want to update the community on our response to concerns about low-quality and LLM-generated papers and reviews, and steps we are taking & will be taking blog.iclr.cc/2025/11/19/icl… We will follow up with another blog later on desk rejections and reviewer-related decisions!

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Xiaoan Liu
Xiaoan Liu@_seanliu·
Talking to your AI glasses is silly, so we built Reality Proxy, a direct manipulation interface that lets you instantly select real-world objects and share context with AI. A step toward JARVIS.
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Anshul Kundaje
Anshul Kundaje@anshulkundaje·
I moved to the US in 2001. Really changed my life. Truly a land of opportunity. With some luck, anyone from anywhere cud grab opportunities, work hard & accomplish things they never dreamed of. May the American dream eternally thrive. Happy 4th.
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Massimo
Massimo@Rainmaker1973·
What’s the first word that comes to mind when you see this?
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Elon Musk
Elon Musk@elonmusk·
The reason I’m in America along with so many critical people who built SpaceX, Tesla and hundreds of other companies that made America strong is because of H1B. Take a big step back and FUCK YOURSELF in the face. I will go to war on this issue the likes of which you cannot possibly comprehend.
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Tilde
Tilde@tilderesearch·
Mechanistic interpretability is fascinating - but can it be useful? In particular, can it beat strong baselines like steering and prompting on downstream tasks that people care about? The answer is, resoundingly, yes. Our new blog post with @a_karvonen, Sieve, dives into the first counterfactual application of sparse autoencoders to a real downstream task, where we demonstrate Pareto dominance over existing methods. A 🧵… ~1/8~ tilderesearch.com/blog/sieve
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Kexin Huang
Kexin Huang@KexinHuang5·
📢 Super excited to share our new study @NatureMedicine on developing and validating an explainable graph-based foundation model for drug repurposing, designed specially for rare diseases, which collectively affect 300 million patients globally! 🧵1/10
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Elon Musk
Elon Musk@elonmusk·
Once upon a dream
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Paul Graham
Paul Graham@paulg·
Multiple speakers at Startup School made the same very interesting point. If you start a startup now to do something that barely works with AI, the next models will make it really work.
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