以“精准”构建 vs 以“速度”构建。 前者是在一开始放慢节奏，把目标和细节想清楚、做对，这样就能在中期和后期实现真正的快速推进。 后者则是一上来就追求速度，结果很快发现自己做出了大量次优决策，代码质量糟糕、结构混乱，项目迅速变得难以维护、充满“垃圾代码”。 2026 年将是一个重要的年份，越来越多的公司会意识到这一点，并开始要求一种协作式、有明确立场、结构化且纪律严明的软件开发方式。 这正是我们在 @8090solutions 打造 Software Factory 时所创建的东西：一种全新的、协作式的软件开发理念——自律、有主张、系统化、方法论清晰、注重细节。 自今年推出以来，我们已经在多个要求极高的行业中成功赢得客户，包括：医疗健康、生命科学、制造业、保险、金融服务和能源等。这些行业的公司无法承受“凭感觉写代码（vibe coding）”的风险。他们编写的代码必须足够精确、按预期运行、易于维护，并具备极高的可靠性和可用性。 目前，Software Factory 已被广泛用于这些行业中，以系统化、可控的方式，用成本仅为原来一小部分的定制化新软件，逐步替换“软件工业复合体”时代遗留下来的旧系统。 如果你想了解更多，欢迎联系我们。 Building with precision vs building with "speed". The former is about going slow up front so you get the intention and details right. This then allows you to go fast in the middle and the end. The latter is about going fast up front only to realize you made many sub optimal decisions, the code is janky and it quickly becomes unwieldy and slop. 2026 will be an important year when more and more companies come to this realization and demand a collaborative, opinionated way to build software in a structured and disciplined way. This is what we created when we built Software Factory at @8090solutions. A collaborative new way to imagine software development: disciplined, opinionated, methodical, detailed... Since launching this this year, we have successfully won customers in many demanding industries: healthcare, life sciences, manufacturing, insurance, financial services and energy among others. The companies in these sectors can't afford vibe coding. The code they write needs to be precise, work as advertised, be easy to maintain and have high reliability/uptime. Software Factory is being used in all of these industries to methodically replace legacy software from the Software Industrial Complex with new, purpose-built custom software that is a fraction of the cost. Ping us if you want to learn more...
Chamath PalihapitiyaFounder & CEO, Social Capital
观点原文
以“精准”构建 vs 以“速度”构建。
前者是在一开始放慢节奏，把目标和细节想清楚、做对，这样就能在中期和后期实现真正的快速推进。
后者则是一上来就追求速度，结果很快发现自己做出了大量次优决策，代码质量糟糕、结构混乱，项目迅速变得难以维护、充满“垃圾代码”。
2026 年将是一个重要的年份，越来越多的公司会意识到这一点，并开始要求一种协作式、有明确立场、结构化且纪律严明的软件开发方式。
这正是我们在 @8090solutions 打造 Software Factory 时所创建的东西：一种全新的、协作式的软件开发理念——自律、有主张、系统化、方法论清晰、注重细节。
自今年推出以来，我们已经在多个要求极高的行业中成功赢得客户，包括：医疗健康、生命科学、制造业、保险、金融服务和能源等。这些行业的公司无法承受“凭感觉写代码（vibe coding）”的风险。他们编写的代码必须足够精确、按预期运行、易于维护，并具备极高的可靠性和可用性。
目前，Software Factory 已被广泛用于这些行业中，以系统化、可控的方式，用成本仅为原来一小部分的定制化新软件，逐步替换“软件工业复合体”时代遗留下来的旧系统。
如果你想了解更多，欢迎联系我们。
Building with precision vs building with "speed".
The former is about going slow up front so you get the intention and details right. This then allows you to go fast in the middle and the end.
The latter is about going fast up front only to realize you made many sub optimal decisions, the code is janky and it quickly becomes unwieldy and slop.
2026 will be an important year when more and more companies come to this realization and demand a collaborative, opinionated way to build software in a structured and disciplined way.
This is what we created when we built Software Factory at @8090solutions. A collaborative new way to imagine software development: disciplined, opinionated, methodical, detailed...
Since launching this this year, we have successfully won customers in many demanding industries: healthcare, life sciences, manufacturing, insurance, financial services and energy among others. The companies in these sectors can't afford vibe coding. The code they write needs to be precise, work as advertised, be easy to maintain and have high reliability/uptime.
Software Factory is being used in all of these industries to methodically replace legacy software from the Software Industrial Complex with new, purpose-built custom software that is a fraction of the cost.
Ping us if you want to learn more...
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- 你之所以负担不起医疗，是因为：医疗保险保费太高了。 多向杰夫·贝索斯征税，出于其他原因也许是对的， 但这对解决医疗负担问题毫无帮助。 保费之所以这么高，是因为保险公司在利用《奥巴马医改》（Obamacare）引入的定价机制进行博弈。 《奥巴马医改》将毛利率上限设为 15%。结果是，医疗保险公司如果想赚更多钱，并不需要提高效率或加剧竞争，他们只需要协同提价即可——而他们确实这么做了。 对他们来说，在 10,000 美元的保费上赚 15%，远比在 1,000 美元的保费上赚 15%（甚至更高）、但要面对激烈竞争，更划算。 现在，《奥巴马医改》要求这些多出来的钱必须“用于医疗服务”，但如果你看看医疗体系中行政人员数量的暴涨，以及预期寿命的停滞不前，真正发生的事情是： 这些额外资金只是在系统内部来回流转，最终以各种形式流向了股东，却没有对医疗质量产生任何可衡量的改善——看看预期寿命 vs 医疗行政人员增长，或者医疗股股价 vs 预期寿命，你就明白了。 因此，要让医疗重新变得负担得起，就必须改变毛利率规则，并强制私营保险公司 / 药品福利管理机构（PBMs）/ 医疗服务提供者之间展开真正的竞争。 The reason you can’t afford healthcare: Healthcare premiums are too high. Taxing Jeff Bezos more may be right for other reasons but it will do nothing to fix this. Premiums are too high because insurance companies game the pricing model brought by Obamacare. Obamacare capped gross margins at 15%. So for healthcare companies to make more money, they didn’t have to find efficiency or compete harder, they could coordinate and raise prices. And they did that. Making 15% on $10,000 with little competition is better for them than making 15% or more on $1,000. Now Obamacare says you must spend these extra dollars on services but if you look at the growth of administrative staff and the flatlining of life expectancy, what really happened was that the extra dollars just sloshed around in the system and eventually made its way to stockholders with no measurable impact to quality - look at life expectancy vs admin staff growth in healthcare or stock price of health care stocks vs life expectancy. So to make healthcare affordable again, change the gross margin rules and force competition between the private insurers/PBMs/providers.Chamath Palihapitiya · 2026/01/01
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- 我本周读到的内容…… 1）11 月 24 日，《创世任务》（The Genesis Mission）已通过行政命令正式启动。 “创世任务”被定位为现代版的“曼哈顿计划”，通过整合美国能源部旗下 17 个国家实验室、产业界与学术界，打造一个综合性的科学发现平台。 其目标是在未来十年内，依托该平台与先进的人工智能技术，将美国科研与研发（R&D）生产力提升一倍。 他们计划通过以下方式实现这一雄心目标： * 获得全球规模最大的联邦科学数据集 * 用这些数据训练科学大模型（scientific foundation models） * 创建能够测试新假设、自动化科研流程、加速科学突破的 AI 科研代理（AI agents） * 该计划还强调了强有力的公私合作伙伴关系，以整合来自顶尖科技公司的前沿商业 AI 基础设施。 “创世任务”将聚焦解决三项关键的国家级挑战： 1. 美国能源主导权 加速先进核能、核聚变、以及电网现代化。 2. 推动科学发现 构建未来驱动科学突破和产业体系的量子生态系统。 3. 确保国家安全 推进国家安全任务所需的 AI 技术，部署系统以确保美国核武库的安全性与可靠性，并加速“可随时投入国防的材料”（defense-ready materials）研发。 What I read this week... 1) On 11/24, The Genesis Mission was signed into action by Executive Order. The Genesis Mission is framed as a modern-day counterpart to the Manhattan Project, harnessing the Department of Energy’s 17 National Laboratories, industry, and academia to build an integrated discovery platform. The goal is to leverage this platform and advanced artificial intelligence to double U.S. research and development productivity within a decade. They plan to reach this ambitious goal by getting access to the world’s largest collection of Federal scientific datasets to train scientific foundation models and create AI agents to test new hypotheses, automate research workflows, and accelerate scientific breakthroughs. The initiative also emphasizes strong public-private partnerships to integrate cutting-edge commercial AI infrastructure from leading tech companies. The Genesis Mission is targeted at addressing a defined set of three critical national challenges: 1. American energy dominance: Accelerate advanced nuclear, fusion, and grid modernization. 2. Advancing discovery science: Build the quantum ecosystem that will power discoveries and industries. 3. Ensuring national security: Advance AI technologies for national security missions, deploying systems to ensure the safety and reliability of the U.S. nuclear stockpile and accelerating the development of defense-ready materials.Chamath Palihapitiya · 2025/11/30