HackerURLs

一次又一次被重新发现的经典。

同一个链接,相隔一年以上,一次又一次被人重新发现、再次冲上 Hacker News 首页。能经受住这种时间检验的,大多是值得一读再读的文章。每篇附中文标题,讨论最热的那些再加上中文导读和高赞评论翻译。

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上首页次数最多、而且有中文导读的 30 篇。时间轴上每个黑点是一次上首页,空心点是一次没冲上去的投稿。

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经典库

按第一次上首页的年份分布,点柱子筛选。

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    这些经典是怎么挑出来的

    1. 01

      合并同一个链接

      读取 Hacker News 自 2006 年以来的全部链接投稿,把 http/https、www、跟踪参数等写法不同的同一篇文章合并成一条。

    2. 02

      只留经得起时间的

      同一链接至少两次拿到 50 分以上(约等于上首页),而且两次相隔一年以上;再由 AI 剔除状态页、产品首页和新闻事件。

    3. 03

      写导读、译评论

      上首页次数最多的 2,000 篇配上中文导读、"为什么经久不衰",并精选翻译 HN 高赞评论。导读由 AI 生成,可能有误。

    工具与资源github.com

    Autopilot:一个开源驾驶代理

    Autopilot: an open source driving agent

    3次上首页
    8年跨度
    847累计得分
    370条评论

    2016 — 2024,它一次次回到首页

    黑点是上首页(≥ 50 分)的那次投稿,空心点是没冲上去的投稿,点越大分数越高。

    导读

    comma.ai 开源的驾驶辅助系统 openpilot 的 GitHub 仓库,提供车道保持、自适应巡航和驾驶员监控等功能,可运行在多种量产车型上。项目由 George Hotz 创办,多次登上 Hacker News 首页,是消费级开源自动驾驶领域最知名的项目之一。

    为什么经久不衰:它是开源自动驾驶软件的标杆项目,从 2016 年至今持续活跃,对想了解或动手实践车辆黑客与辅助驾驶技术的人来说始终是最佳入门材料之一。

    关键词 自动驾驶开源comma.ai辅助驾驶

    HN 评论精选

    指出项目的核心视觉模块并未真正开源

    并非所有部分都是开源的。我找不到视觉部分,只有二进制文件。

    Voloskaya查看英文原文

    Not everything seems to be open source. I can't seem to find the vision part, only the binary, see: https://github.com/commaai/openpilot/tree/master/selfdrive/visiond

    质疑用 Android 作为安全关键系统的实时性

    这看起来是 comma AI 创业公司的代码倾倒。还表明他们的自动驾驶平台运行在一个精简版 Android 上——用这种在负载下容易出现过大调度延迟的系统来控制汽车转向,简直不可理喻。

    revelation查看英文原文

    This seems to be a code dump from the comma AI startup. It also indicates their autonomous driving platform runs on a "stripped version" of Android. Which seems to indicate that they are clinically insane, given they are using a system that can easily have excessive scheduling latencies under load to steer a car.

    认为开源化是应对监管压力的合理出路

    我觉得这很棒。他们取消 Comma One 却不采取后续行动、甚至不尝试与监管机构合作,让我非常失望。开源化像是这一事件的收尾——现在安全责任落在个人用户和开发者手中,而不是 comma,而这正是当初让他们陷入麻烦的原因。

    dejawu查看英文原文

    This is great IMO. I was incredibly dismayed to hear they were canceling the Comma One without any further action, without even attempting to work with regulators. This seems like the culmination of that - now the responsibility for safety is in the hands of individual users/developers and not on Comma, which is what got them in trouble in the first place. Now that this is open source though, I wonder what their next project will be?

    真实用户证实体验出色且性价比高

    我在 2018 款卡罗拉上用了几个月 Openpilot,一些体会:效果好得惊人,轻松媲美 Autopilot 的真实能力(而非营销宣传)。长途高速几小时都不用接管。整套设备约 800 美元,即插即用。社区非常活跃,不断支持更多车型,甚至有人让大众巴士跑起来了。堵车不再是痛苦而是享受。它并不完美,但正逼近 L3 自主级别,除特斯拉外远好于任何厂商的原厂系统。

    aphextron查看英文原文

    I've been using Openpilot in my 2018 Corolla for the past few months. Some takeaways: It's mind-blowingly good. Easily on par with Autopilot (That is, Autopilot's ACTUAL capabilities, not what they show in marketing promos). For long highway trips, it's easy to go hours without a disengagement. The full setup costs about $800, is completely plug-and-play, and you can order everything you need on the site (EON/Panda/Giraffe). See: https://www.youtube.com/watch?v=UfF9l2-orTk There's a huge active community working on adding support for more cars and even custom forks with more advanced features like dynamic follow. Someone even recently got a VW bus working with it. https://discordapp.com/invite/avCJxEX Also it's just really freaking cool to have a self driving Corolla. Can't stress how much this thing has changed the way I view driving and going places. It's no longer a pain, but a joy to sit in stop and go traffic. It's not perfect, but it's pushing the border of level 3 autonomy and far better than anything that any manufacturer besides Tesla is shipping.

    专业人士指出感知管线闭源且缺乏实时确定性保证

    我是一名自动驾驶首席工程师。几点看法:这不算真正的开源,最重要的神经网络感知管线是闭源的,没有训练数据和网络架构,配套代码用处不大;系统是非确定性的,这在自动驾驶这类关键系统中是大忌,无法保证车辆检测或油门/刹车指令在足够安全的时间线上执行;不过 Panda、Giraffe 等工具对想入门汽车黑客的人很棒。

    kyle_martin1查看英文原文

    I work as a lead autonomous vehicle engineer. Here's a few thoughts: * This isn't really open-source. The most important part, the neural network perception pipeline, is closed sourced. Without the training data and the network architectures, the supporting code is not that useful. * This system is non-deterministic, which is a no-no in critical systems like autonomous vehicle. There's no guarantee that vehicle detection or throttle/brake commands will be executed on a acceptably safe timeline. * I think the supporting tools like Panda and Giraffe are great for those wanting to get into car hacking. ------------------------------------------------ By the way, if you want to to become an autonomous vehicle engineer I put together a resource guide here: https://becomeautonomous.com

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