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Would turning them off be murder? No. I don't lose any sleep over unplugging a conscious machine.\n- Jeff Hawkins, \"A Thousand Brains\"",{"id":63,"publish_date":64,"is_original":23,"collection":65,"cover_url":66,"cover_url_1_1":67,"title":68,"summary":69,"author":28},178,"2024-09-09","#Entrepreneurship","article_res/cover/a7224f025b55d1820408085faef63079.jpeg","article_res/cover/11a9995b096cbf64465ef01b8673b154.jpeg","37signals company","This damn sense of relaxation",{"id":71,"publish_date":72,"is_original":4,"collection":73,"cover_url":74,"cover_url_1_1":75,"title":76,"summary":77,"author":78},460,"2023-05-12","#Google","article_res/cover/b970687b12faa52da976f91248c2aa7b.jpeg","article_res/cover/d1e71b52cfd2c63bc6e71f3e85ff135c.jpeg","Learn what BRC-20 and Ordinals are using Google Bard","Ordinals - a new protocol that allows users to store arbitrary data on the Bitcoin blockchain","Google Bard mainly writes",{"id":80,"publish_date":81,"is_original":23,"collection":5,"cover_url":82,"cover_url_1_1":83,"title":84,"summary":85,"author":28},309,"2024-03-26","article_res/cover/9877f95894ee88532d0e6012c23a2df3.jpeg","article_res/cover/20092164ddc109ce6ae56b1984246751.jpeg","Learning the Cancun Upgrade with lepton and perplexity","Building a quick conversation-based search demo with Lepton AI.",[87,95,103,111,119],{"id":88,"publish_date":89,"is_original":23,"collection":90,"cover_url":91,"cover_url_1_1":92,"title":93,"summary":94,"author":28},627,"2025-03-20","#AI Avatar #AI Video Generation","article_res/cover/d95481358f73924989f8c4ee9c75d1c8.jpeg","article_res/cover/b74bc0fab01f8b6a6aa87696c0c3ed8b.jpeg","DisPose: Generating Animated Videos by Driving Video with Reference Images","DisPose is a controllable human image animation method that enhances video generation.",{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},626,"2025-03-21","#Deep Dive into LLMs #LLM #RL #Andrej Karpathy #AlphaGo","article_res/cover/446553a5c8f8f2f07d97b20eaee84e56.jpeg","article_res/cover/e6c2823409c9b34624064b9acbaca6f1.jpeg","AlphaGo and the Power of Reinforcement Learning - Andrej Karpathy's Deep Dive on LLMs (Part 9)","Simply learning from humans will never surpass human capabilities.",{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},625,"2025-03-22","#Deep Dive into LLMs #LLM #RL #RLHF #Andrej Karpathy","article_res/cover/8da81d38b1e5cf558a164710fd8a5389.jpeg","article_res/cover/96f028d76c362a99a0dd56389e8f7a9b.jpeg","Reinforcement Learning from Human Feedback (RLHF) - Andrej Karpathy's Deep Dive on LLMs (Part 10)","Fine-Tuning Language Models from Human Preferences",{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},624,"2025-03-23","#Deep Dive into LLMs #LLM #Andrej Karpathy #AI Agent #MMM","article_res/cover/a5e7c3d48bb09109684d6513287c661d.jpeg","article_res/cover/d3f22b7c0ab8d82fd2da457a299e0773.jpeg","The Future of Large Language Models - Andrej Karpathy's In-Depth Explanation of LLM (Part 11)","preview of things to come",{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},623,"#Google #Voe #AI Video Generation","article_res/cover/c44062fea0f336c2b96b3928292392c2.jpeg","article_res/cover/a041041c69092ad3db191c5bf3ff981b.jpeg","Trial of Google's video generation model VOE2","Our state-of-the-art video generation model",[127,135,143],{"id":128,"publish_date":129,"is_original":23,"collection":130,"cover_url":131,"cover_url_1_1":132,"title":133,"summary":134,"author":28},300,"2024-04-16","#AI in Science #AGI","article_res/cover/6bf01e793e0f33e848572412eebdf9b0.jpeg","article_res/cover/91a5ee21dafecb914fabeb9430d46ec1.jpeg","Would Einstein lose his job - AI and Quantum Computing: A Glimpse into the Near Future","So Einstein's job is still safe.",{"id":136,"publish_date":137,"is_original":23,"collection":138,"cover_url":139,"cover_url_1_1":140,"title":141,"summary":142,"author":28},101,"2024-12-14","#Nvidia #AI 3D Generator","article_res/cover/693e07c85980c5c0c8fde3f037733f23.jpeg","article_res/cover/9ea8edff2d5d303ff3fffff3f6f9c3d9.jpeg","NVIDIA's open-source 3D project LLaMA-Mesh","LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models",{"id":144,"publish_date":145,"is_original":23,"collection":146,"cover_url":147,"cover_url_1_1":148,"title":149,"summary":150,"author":28},131,"2024-11-10","#OpenAI","article_res/cover/87f8ed353ce39f31960e7cdfaf075a35.jpeg","article_res/cover/f597a63935f5cd32e484b4aadd6019e8.jpeg","ChatGPT has launched the Search function","Get fast, timely answers with links to relevant web sources.",{"big":152,"small":214},[153,181],{"title":154,"list":155},"AGENT",[156,157,165,173],{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":158,"publish_date":159,"is_original":23,"collection":160,"cover_url":161,"cover_url_1_1":162,"title":163,"summary":164,"author":28},622,"2025-03-24","#OWL #AI Agent #MAS #MCP #CUA","article_res/cover/cb50ca7f2bf4d1ed50202d7406e1c19a.jpeg","article_res/cover/4aa7aa3badfacf3cc84121334f1050dd.jpeg","OWL: Multi-agent collaboration","OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation",{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},620,"2025-03-26","#LLM #Google #Gemini #AI Agent","article_res/cover/53751a6dbbe990b1eb0b63f3b062aed4.jpeg","article_res/cover/031344981f0a212ff82d1f3a64aa5756.jpeg","Gemini 2.5 Pro, claimed to be far ahead of the competition, has been released with great fanfare: comprehensively surpassing other LLMs and topping the global rankings","Gemini 2.5: Our most intelligent AI model",{"id":174,"publish_date":175,"is_original":23,"collection":176,"cover_url":177,"cover_url_1_1":178,"title":179,"summary":180,"author":28},616,"2025-03-29","#MAS #AI Agent #AI Coder #MetaGPT #MGX","article_res/cover/9dcd702ad2035902e5e77967c34a1f1e.jpeg","article_res/cover/0a97fc4a922753c8f46ff38792020df8.jpeg","MGX - An automated website-building platform composed of multiple AI Agents","Your 24/7 AI Team | Dream, Chat, Create.",{"title":182,"list":183},"OPENAI",[184,191,199,206],{"id":185,"publish_date":167,"is_original":23,"collection":186,"cover_url":187,"cover_url_1_1":188,"title":189,"summary":190,"author":28},619,"#OpenAI #AI Image Generator #4o #MMM #AR Transformer","article_res/cover/2faffc97fcecf3151552cb0fd3206d89.jpeg","article_res/cover/1133cb4948af44cee2e7fbe79efb69e5.jpeg","The native image function of GPT-4o is officially launched","Introducing 4o Image Generation",{"id":192,"publish_date":193,"is_original":4,"collection":194,"cover_url":195,"cover_url_1_1":196,"title":197,"summary":198,"author":28},434,"2023-07-15","#Anthropic #OpenAI #Google #AI Code Generator #Claude","article_res/cover/e1b6f600a2b9f262a4392684e5f2ce25.jpeg","article_res/cover/6e1772e83f78f9a351ab23d3e414adee.jpeg","Latest Updates on Google Bard /Anthropic Claude2 / ChatGPT Code Interpreter","We want our models to use their programming skills to provide more natural interfaces to the basic functions of our computers.  \n - OpenAI",{"id":200,"publish_date":201,"is_original":4,"collection":146,"cover_url":202,"cover_url_1_1":203,"title":204,"summary":205,"author":28},417,"2023-08-24","article_res/cover/bccf897d50a88b18364e35f7466387e0.jpeg","article_res/cover/2f871085c1073717c1703ae86e18056f.jpeg","The GPT-3.5 Turbo fine-tuning (fine-tuning function) has been released～","Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.",{"id":207,"publish_date":208,"is_original":4,"collection":209,"cover_url":210,"cover_url_1_1":211,"title":212,"summary":213,"author":28},407,"2023-09-22","#OpenAI #AI Image Generator","article_res/cover/c59005e903d35cfc32346e2756e2728a.jpeg","article_res/cover/ba011d265e6d84b5c8cb6fd6b757b6cc.jpeg","Dall-E 3","DALL·E 3 understands significantly more nuance and detail, allowing you to easily translate your ideas into images.",[215,221,241],{"title":10,"list":216},[217,218,219,220],{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"title":222,"list":223},"GOOGLE",[224,225,226,234],{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"id":227,"publish_date":228,"is_original":23,"collection":229,"cover_url":230,"cover_url_1_1":231,"title":232,"summary":233,"author":28},615,"2025-03-30","#AI Researcher #AI Science #HKU #Google #AI Agent","article_res/cover/21fadf906067714bb0db31ae13a77c15.jpeg","article_res/cover/2697999a72bd26b22e85f0e92936d3ed.jpeg","AI-Researcher: LLM-driven全自动 scientific research assistant","AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents  \nOpen-Sourced Alternative to Google AI Co-Scientist",{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},463,"2023-05-09","article_res/cover/89800f207723acdb55fc53bf999ebdc9.jpeg","article_res/cover/5764f369b4accd8f83e94aa4c077a175.jpeg","The Smallville sandbox world - A town with 25 virtual residents","Believable proxies of human behavior can empower interactive apps: Immersive environment, Rehearsal space, Prototyping tool",{"title":242,"list":243},"NVIDIA",[],true,{"code":4,"msg":5,"data":246},{"id":247,"publish_date":248,"is_original":4,"collection":5,"articles_id":249,"cover_url":250,"cover_url_1_1":251,"title":252,"summary":253,"author":254,"content":255,"popular":256,"list":321,"category":370,"tag":371},605,"2022-03-12","ybaWK2gcnlqifFJoEtFZew","article_res/cover/b8b7c3b1377d8123bafbb8fd171f029c.jpeg","article_res/cover/2994594e2c4eef4b4732bfe9d526ffe0.jpeg","How to read financial statements - P&L Income Statement","For business owners, there are many important documents to learn to read. One of the most important is P&L.","Course notes","\u003Cdiv class=\"rich_media_content js_underline_content\n                       \" id=\"js_content\">\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">For business owners, there are many important documents to learn to read. One of the most important is the profit and loss statement, known as the P&L, and the balance sheet. \u003C/p>\u003Cp dir=\"ltr\">- Darren L Johnson\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>损益表\u003C/strong>（P&L）是一种财务报表，它汇总了特定时期（通常是一个会计季度或一年）发生的收入、成本和费用。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">这个表也是我平时看的最多的，我们内部是每个月会出损益表，可以看到每个月的收入、成本、利润情况。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>收入/收益\u003C/strong>：\u003C/p>\u003Cp dir=\"ltr\">无论是否收到现金，赚钱所需的行为实质上完成时，就确认收入。\u003C/p>\u003Cp dir=\"ltr\">比如产品销售，从把货物开始送达消费者时刻，确认收入。\u003C/p>\u003Cp dir=\"ltr\">比如服务销售，完成服务（或者完成某一比例的服务）的时刻，确认收入。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>成本/费用\u003C/strong>：\u003C/p>\u003Cp dir=\"ltr\">收到 Benefits 并使用了 Benefits 时，就确认费用。\u003C/p>\u003Cp dir=\"ltr\">给股东的分红不算成本，所以不影响利润。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>毛利润\u003C/strong>：\u003C/p>\u003Cp dir=\"ltr\">毛利润 = 销售收入–主营业务直接成本\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">不考虑管理费用、财务费用、销售费用、纳税等，是衡量企业盈利趋势的主要指标。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">对于我们的线上应用业务来讲，直接成本主要是服务器费用、给内容提供者的分成、渠道费用等。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>净利润\u003C/strong>：\u003C/p>\u003Cp dir=\"ltr\">净收入=（总收入+收益）–（总费用+损失）\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">净收入大于0，则增加留存收益，也就是增加所有者权益；\u003C/p>\u003Cp dir=\"ltr\">反之，如果净收入小于0，则减小留存收益，也就是减小所有者权益；\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">净收入和现金流并不相关联，有可能产生了很大的净收入，但是现金流仍然是负的。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">具体到我们的实际业务情况，我们1月产品产生的广告收入确认在当月，但是因为有45-90天的收款账期，也是就未来2、3、4月份才会有对应的现金入账；而1月份 Google Play/App Store 上用户带来的 IAP 收入，可能2月份现金就入账了，但是我们确认收入可能会分摊到未来的1年中，因为我们要在未来的用户生命周期中都要提供服务。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp>\u003Cimg class=\"rich_pages wxw-img js_insertlocalimg\" data-ratio=\"0.89296875\" data-s=\"300,640\" data-type=\"png\" data-w=\"1280\" style=\"\" src=\"./assets/17423829946550.4319038757836575.png\">\u003C/p>\u003Cp>（上图为 Google 最近4年的损益表）\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">\u003Cstrong>EBIT 和 EBITDA\u003C/strong>：\u003C/p>\u003Cp dir=\"ltr\">EBIT -（Earnings Before Interest and Tax）息税前利润，是企业的营业利润， 它反映了企业主营核心业务的经营成果。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">EBITDA -（Earnings Before Interest, Taxes, Depreciation and Amortization）未计利息、税项、折旧及摊销前的利润，是企业经营现金流的代表，而不是字面上称的“利润”。\u003C/p>\u003Cp>\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">EBIT 和 EBITDA 没有包含企业的非核心经营利得和损失，也没有包含优先股息和税收；而净利润把这些全都计算（作为加减项目）在内。利息是交给债权人的，税是给政府的，只有净利润是给股东的，用于分红或者扩大再生产。\u003C/p>\u003Cp dir=\"ltr\">我们在看其他公司财报的时候，IR 经常会用 EBIT 和 EBITDA。因为 EBITDA 是最接近自由现金流（free cash flow）。有的公司有设备和工厂这些，所以折旧费用高，但不是直接影响运营现金流的，因为这个开销在最开始已经出去了，所以把折旧加回去。最终做 DCF 评估公司的时候，还是需要看这个业务的现金流产生能力，所以好多投资人会用 EBITDA 估出来，然后乘一个倍数。我们 IR 在给我们看好多软件科技公司用的是 EBIT，因为没啥折旧，所以不用考虑 D 和 A，直接用 EBIT 就行。（这一段直接引用自我们 IR Calvin 童鞋～）\u003C/p>\u003Cp dir=\"ltr\">\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">再次强调，我不是科班出身，原课件是英文的，难免理解和翻译有偏差的地方，更多的还是我作为 CEO 平时的实际应用的角度来分享，对财会感兴趣的小伙伴可以去上专业的课程或购买专业书籍～\u003C/p>\u003Cp dir=\"ltr\">\u003Cbr>\u003C/p>\u003Cp dir=\"ltr\">明天我们要开始分享 现金流量表～\u003C/p>\u003C/div>",[257,266,274,282,289,297,305,313],{"id":258,"title_md5":259,"publish_date":260,"author_md5":261,"is_original":4,"collection":262,"summary_md5":263,"cover_url":264,"cover_url_1_1":265},294,"d93f9a17cce091e8f12c8a15cae4026e","2024-04-24","bc27fa490c4d0d525bac812fc0793534","#Psychology","584cf8d0bc2ca2d6bbaea02a7737fc73","article_res/cover/c902e91e56ee3bc22021b1e0518c6379.jpeg","article_res/cover/cc4341697c8d9a39e5078993fc9fcbce.jpeg",{"id":267,"title_md5":268,"publish_date":269,"author_md5":261,"is_original":23,"collection":270,"summary_md5":271,"cover_url":272,"cover_url_1_1":273},141,"e79a6baa2512b1620f36753623e34dc1","2024-10-28","#AI Video 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