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OpenAI: “We need government support to cover $1.4 trillion in chips and data centers.” Chinese open-source AI labs:
Co-founder & CTO @hyperbolic_labs cooking fun AI systems. Prev: OctoAI (acquired by @nvidia) building Apache TVM, PhD @ University of Washington.
🍔 夜深了～ 🍗 新上了一套表情包给大家！不用谢，hhh～ https://t.co/wU8QCdiUYV
6X Studio 创始人 | @fyfyFM 枫言枫语播客主播 | 前腾讯微信设计师 📱 App：@LockLauncherApp、@MenubarX、@AppChatX、StickerX、2Camera、钢琴小组件、桌面计算器等 🎙️ 中文播客榜 https://t.co/w0pn19L5cS (一人公司，诚邀独立开发者合作）
![Pytorch quizz! You have a 1d long tensor containing contiguous increasing blocks of ids
E.g. [ 0, 0, 1, 1, 1, 2, 3, 3, 3, 3 ]
how would you create the tensor of per-block reversed indexes?
E.g. here [ 1, 0, 4, 3, 2, 5, 9, 8, 7, 6 ] ?
I have a solution in 228 chars.](/_next/image?url=https%3A%2F%2Fpbs.twimg.com%2Fprofile_images%2F1741919776773902336%2FpXUEFYUA_400x400.jpg&w=3840&q=75 "Pytorch quizz! You have a 1d long tensor containing contiguous increasing blocks of ids
E.g. [ 0, 0, 1, 1, 1, 2, 3, 3, 3, 3 ]
how would you create the tensor of per-block reversed indexes?
E.g. here [ 1, 0, 4, 3, 2, 5, 9, 8, 7, 6 ] ?
I have a solution in 228 chars.")
Pytorch quizz! You have a 1d long tensor containing contiguous increasing blocks of ids E.g. [ 0, 0, 1, 1, 1, 2, 3, 3, 3, 3 ] how would you create the tensor of per-block reversed indexes? E.g. here [ 1, 0, 4, 3, 2, 5, 9, 8, 7, 6 ] ? I have a solution in 228 chars.
Research Scientist @meta (FAIR), Prof. @Unige_en, co-founder @nc_shape. I like reality.
RT @elonmusk: Grok can search 𝕏 and analyze or summarize anything
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One of the best parts of building a startup is your job as a founder will change every week without notice.
Founder and CEO of @acquiredotcom. https://t.co/wRMIssDmhl has helped 100s of startups get acquired and facilitated $500m+ in closed deals.
My @X followers + @grok are literally planning our trip now, very nice
🇪🇺https://t.co/NdorAWqJC3 📸https://t.co/lAyoqmSBRX $133K/m 🏡https://t.co/1oqUgfD6CZ $40K/m 🛰https://t.co/ZHSvI2wjyW $36K/m 🌍https://t.co/UXK5AFqCaQ $16K/m 👙https://t.co/RyXpqGuFM3 $14K/m 💾https://t.co/M1hEUBAynC $6k/m