AI 与写作2017bloomberg.com
风投向语法检查软件投入 1.1 亿美元
VCs Put $110M into Grammar-Checking Software
导读
这篇帖子讨论风投向语法检查软件 Grammarly 投入 1.1 亿美元，评论区围绕它是否被低估、语法工具的实际价值以及写作能力的回报展开。对写作者来说，值得读的不是投资判断本身，而是它把“写作”放回职业场景：写作是可训练、可被工具辅助、且能带来复利的核心技能。
可以直接用的写作要点
- 01
把写作视为可复利的职业技能：求职信、工作邮件、产品文案里哪怕 1% 的清晰度提升，也会在长期沟通和晋升中累积回报。
- 02
用语法检查工具处理基础错误和机械校对，但把省下的时间用于打磨逻辑、语气和说服力，别让工具替代判断。
- 03
非母语写作者可先用工具扫清语法障碍，再集中练习清晰表达；母语写作者同样能从中发现自己的惯性错误。
- 04
批评一种写作工具或方法时，用具体论证代替嘲讽，既能让讨论更有价值，也是在练习议论文表达。
HN 评论精选
写作者对语法检查工具的接受度在上升，别凭直觉低估这类写作工具。
每当这类投资消息让我意外，我会去 Google Trends 查公司名。这条曲线能让你感受 Grammarly 过去几年用户兴趣增长有多快。它不像 Snapchat 或 Instagram，但规模和轨迹大概和 Docker 相当。我通过自己的网站接触到很多写作者，最近他们越来越常提到 Grammarly。这不是说 1.1 亿美元投资一定合理，只是说 Grammarly 可能比这里社区意识到的更受欢迎。
dougb5查看英文原文
Whenever I'm surprised by an investment announcement like this, I like to look the company name up on Google Trends. This curve will give you a sense of how rapidly user interest in Grammarly has increased the past few years: https://trends.google.com/trends/explore?date=all&q=grammarly,hacker%20news It's no Snapchat or Instagram, but it's comparable to, say, Docker in magnitude and trajectory. I hear from a lot of writers through my own websites, and I hear them mention Grammarly more and more often lately. That's not to say the $110M investment makes sense, just that Grammarly may be more popular than the community here realizes.
语法工具是低成本校对替代，对非母语和母语写作者都有实际价值。
负面评论毫无道理。很难理解为什么一群明显不懂这个领域的人，去抱怨更了解情况的人如何投资。我每天用 Grammarly。相比雇校对，订阅很便宜——我以前就雇校对。非母语市场巨大，母语者也常能从提升写作中受益。
astrodev查看英文原文
The negative comments don't make any sense. It's hard for me to understand why a bunch of people who clearly don't understand the domain complain how more informed parties invest their money. I use Grammarly daily. The subscription is cheap compared to hiring a proofreader, which I used to do. The market for ESL speakers is huge, and native speakers, too, can often benefit from improving their writing.
写作是高价值通用技能，微小提升在庞大人口上会放大；批评应有理据而非嘲讽。
对那些和我一样本能想批评的人：要批评就别发讽刺刻薄的话，而是论证为什么一个产品没有潜力——它能提升一项在 99% 工作中都会用到、最有价值的专业技能的质量和效率；潜在用户超过 10 亿；边际成本几乎为零；成本结构带来规模收益递增；产品开发基于用户数据学习，也带来规模收益递增；还基于近年突飞猛进、潜力未知的新机器学习范式。再想想写作的价值：有人完全靠写作谋生，很大一部分人需要靠写作传递信息、说服他人行动。如果改善求职信、工作邮件或产品文案能让生产力提高 1%、升职概率提高 1%，那么这 1.1 亿美元相比这些百分比在英语人群中的累积效应根本不算什么。当然，整个想法也可能失败；但如果你这么认为，请说明理由，别忍不住发简短刻薄的评论说风投很蠢。
tedsanders查看英文原文
To those, who like me, felt a knee-jerk reaction to criticize: If you are going to make a criticism, don't make a sarcastic or snarky comment. Instead, make an argument about why there is no potential in a product that: + increases the quality & productivity of one of the most valuable and professional skills that's used in 99% of all jobs + has a potential customer base of over 1 billion people + has near-zero marginal costs + has increasing returns to scale due to its cost structure + has increasing returns to scale due to its product development being based on learning from user data + is based on a new machine learning paradigm that has recently made huge gains and has unknown potential And just think about the value of writing. Some people make their entire living from writing (journalism, etc.). A large fraction of the population needs good writing skills in their job, just to share information and persuade others to act. If improving your writing - on items like your cover letter, your professional emails, your product - gives you a 1% boost to productivity and a 1% higher chance of a promotion, then this $110M is nothing compared to those percentages multiplied over the English-speaking population. Of course, the whole idea could be a bust. But if you think so, make the argument why. Resist the temptation to post brief, snarky comments about how VCs are stupid.
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