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AI…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/GcOhdNlbgAAyCV3.jpg","type":"photo","display_url":"pic.twitter.com\/SA2OSo673d","expanded_url":"https:\/\/twitter.com\/hongming731\/status\/1856505049075331190\/photo\/1"},{"media_url":"https:\/\/pbs.twimg.com\/media\/GcOhftHasAEfAYU.png","type":"photo","display_url":"pic.twitter.com\/SA2OSo673d","expanded_url":"https:\/\/twitter.com\/hongming731\/status\/1856505049075331190\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}},"1856504046422765766":{"card":null,"peopleCard":null,"is_retweet":false,"conversation_id_str":"1856504046422765766","created_at":"Wed Nov 13 01:07:11 +0000 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We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity.\n\nIt\u0027s a 5+…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/amplify_video_thumb\/1856090407655870464\/img\/cnEeerCuH2v25JS8.jpg","type":"video","display_url":"pic.twitter.com\/RSl9Yh5XSi","expanded_url":"https:\/\/twitter.com\/lexfridman\/status\/1856098889645908338\/video\/1","video_url":"https:\/\/video.twimg.com\/amplify_video\/1856090407655870464\/vid\/avc1\/1280x720\/0X0un-MNfpXIDmEb.mp4?tag=14"}]},"is_quote_status":false,"core":{"rest_id":"427089628","is_blue_verified":true,"screen_name":"lexfridman","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1854713863817646088\/nTmsz7jR.jpg","name":"Lex Fridman"}}},"1856184656603095260":{"card":null,"peopleCard":null,"is_retweet":false,"conversation_id_str":"1856184656603095260","created_at":"Tue Nov 12 03:58:03 +0000 2024","favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"bookmark_count":0,"view_count":"240","full_text":"还记得你何时加入 X 吗？我知道！#我的X周年纪念日","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/GcJ-GsIaQAAYL_E.jpg","type":"photo","display_url":"pic.twitter.com\/zKGyHGMQcd","expanded_url":"https:\/\/twitter.com\/hongming731\/status\/1856184656603095260\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}},"1855502828069892293":{"card":null,"peopleCard":null,"is_retweet":"ginobefun","conversation_id_str":"1855502828069892293","created_at":"Sun Nov 10 06:48:42 +0000 2024","favorite_count":597,"quote_count":9,"reply_count":17,"retweet_count":191,"bookmark_count":786,"view_count":"143052","full_text":"Elon Musk 的高效之道是什么？Impact Theory 播客最新采访了 Marc Andreessen，其中 Andreessen 通过自己与 Elon 紧密接触两年的亲身经历，详解了“为什么 Elon 如此成功？” 配图是 Claude 通过采访字幕生成：\n\n操作哲学\n\n- 只关注实质内容\n- 每周进展为重 “这周你完成了什么？” 灵魂拷问😂\n-…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/GcARrxOWMAAlmqo.jpg","type":"photo","display_url":"pic.twitter.com\/GkPZgt7aR1","expanded_url":"https:\/\/twitter.com\/indigo11\/status\/1855502828069892293\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}},"1854741760825847896":{"card":null,"peopleCard":null,"is_retweet":false,"conversation_id_str":"1854741760825847896","created_at":"Fri Nov 08 04:24:29 +0000 2024","favorite_count":10,"quote_count":0,"reply_count":0,"retweet_count":3,"bookmark_count":7,"view_count":"710","full_text":"#BestBlogs 白话文讲解大模型｜ Attention is all you need | 阿里技术\n\n本文深入浅出地介绍了大模型技术架构，特别是 Transformer 模型及其在自然语言处理中的应用，详细解析了注意力机制、Token 预测、模型训练等关键技术。        \n\n摘要：        \n本文从多个角度详细介绍了大模型技术，特别是…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/Gb1dy2wacAAQpFY.png","type":"photo","display_url":"pic.twitter.com\/dodV3Xj6GD","expanded_url":"https:\/\/twitter.com\/hongming731\/status\/1854741760825847896\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}},"1854587401018261962":{"card":null,"peopleCard":null,"is_retweet":"ginobefun","conversation_id_str":"1854587401018261962","created_at":"Thu Nov 07 18:11:07 +0000 2024","favorite_count":2066,"quote_count":30,"reply_count":98,"retweet_count":379,"bookmark_count":1460,"view_count":"171491","full_text":"New short course: LLMs as Operating Systems: Agent Memory, created with @Letta_AI, and taught by its founders @charlespacker and @sarahwooders.\n\nAn LLM\u0027s input context window has limited space. Using a longer input context also costs more and results in slower processing. So,…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/ext_tw_video_thumb\/1854576643475750914\/pu\/img\/ocahDJr8Dan4pEBT.jpg","type":"video","display_url":"pic.twitter.com\/Akw6uPPIbq","expanded_url":"https:\/\/twitter.com\/AndrewYNg\/status\/1854587401018261962\/video\/1","video_url":"https:\/\/video.twimg.com\/ext_tw_video\/1854576643475750914\/pu\/vid\/avc1\/1280x720\/fTsWZYLbajngly0I.mp4?tag=12"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}},"1854328314208661692":{"card":null,"peopleCard":null,"is_retweet":"ginobefun","conversation_id_str":"1854328314208661692","created_at":"Thu Nov 07 01:01:36 +0000 2024","favorite_count":338,"quote_count":4,"reply_count":8,"retweet_count":74,"bookmark_count":392,"view_count":"47083","full_text":"很多推友在问这个代码截图工具是什么？我也是刚发现的这个宝藏免费网站： \u003Ca style=\u0022text-decoration: none;\u0022 rel=\u0022nofollow\u0022 target=\u0022_blank\u0022 href=\u0022\u003Ca style=\u0022text-decoration: none;\u0022 rel=\u0022nofollow\u0022 target=\u0022_blank\u0022 href=\u0022https:\/\/t.co\/kg1ETEskd6\u0022\u003Eray.so\u003C\/a\u003E\u0022\u003Eray.so\u003C\/a\u003E\n原来我都是使用 carbon 的 \u003Ca style=\u0022text-decoration: none;\u0022 rel=\u0022nofollow\u0022 target=\u0022_blank\u0022 href=\u0022https:\/\/t.co\/zop1RbZZk8\u0022\u003Ecarbon.now.sh\u003C\/a\u003E，但是 \u003Ca style=\u0022text-decoration: none;\u0022 rel=\u0022nofollow\u0022 target=\u0022_blank\u0022 href=\u0022\u003Ca style=\u0022text-decoration: none;\u0022 rel=\u0022nofollow\u0022 target=\u0022_blank\u0022 href=\u0022https:\/\/t.co\/kg1ETEskd6\u0022\u003Eray.so\u003C\/a\u003E\u0022\u003Eray.so\u003C\/a\u003E 比carbon 好看多了！颜值就是正义，它是 raycast…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/ext_tw_video_thumb\/1854328149682814976\/pu\/img\/5s92jH9ZjxJxCjB1.jpg","type":"video","display_url":"pic.twitter.com\/VJRTjmFUOq","expanded_url":"https:\/\/twitter.com\/vikingmute\/status\/1854328314208661692\/video\/1","video_url":"https:\/\/video.twimg.com\/ext_tw_video\/1854328149682814976\/pu\/vid\/avc1\/1104x720\/lASn69pZZgaCYF3N.mp4?tag=12"}]},"is_quote_status":true,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"},"quoted_status":{"card":null,"conversation_id_str":"1853606107874464067","created_at":"Tue Nov 05 01:11:49 +0000 2024","favorite_count":850,"quote_count":4,"reply_count":28,"retweet_count":132,"bookmark_count":736,"view_count":"147599","full_text":"又学了 Nginx 非常实用的小技巧：可以使用 limit_req 来对用户进行限流，用于控制用户请求的速率，防止服务器被大量请求压垮。它使用\u0022漏桶算法\u0022来限制请求处理速率。\n\n大家可以看一下我写的代码示例，非常简单易懂，看起来也很好用。","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/GblU55QbYAMGySe.jpg","type":"photo","display_url":"pic.twitter.com\/smsp6h2eln","expanded_url":"https:\/\/twitter.com\/vikingmute\/status\/1853606107874464067\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"296593919","is_blue_verified":true,"screen_name":"vikingmute","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/725179208528322560\/TPjU7qop.jpg","name":"Viking"}}},"1854331749171695672":{"card":null,"peopleCard":null,"is_retweet":false,"conversation_id_str":"1854331749171695672","created_at":"Thu Nov 07 01:15:15 +0000 2024","favorite_count":1,"quote_count":0,"reply_count":0,"retweet_count":0,"bookmark_count":1,"view_count":"255","full_text":"#BestBlogs 对话李开复：如果美国形成 AGI 霸权，我们应该怎么办？ | 腾讯科技\n\n李开复讨论了 AGI（通用人工智能）可能带来的垄断问题，并提出中国应通过降低推理成本和推动应用创新来对抗美国的 AGI 霸权，强调中国在廉价模型和推理引擎方面的优势，并预测 AI 应用将在未来迎来爆发。        \n\n摘要：…","extended_entities":{"media":[{"media_url":"https:\/\/pbs.twimg.com\/media\/Gbvo465bUAA6W1C.png","type":"photo","display_url":"pic.twitter.com\/aEsBQv3MNE","expanded_url":"https:\/\/twitter.com\/hongming731\/status\/1854331749171695672\/photo\/1"}]},"is_quote_status":false,"core":{"rest_id":"1061781458107326464","is_blue_verified":true,"screen_name":"hongming731","profile_image_url_https":"https:\/\/pbs.twimg.com\/profile_images\/1826883084207489024\/PhsQu3dH.jpg","name":"ginobefun"}}}}