包阅导读总结
1. 关键词：AI 软件、专有、开源、商业、开发者
2. 总结：文章指出尽管人们希望 AI 模型开源，但这不太现实，多数 AI 软件仍将保持专有。开源与专有软件已共存多年，多数开发者更关心完成工作，不太在意软件是否开源。
3. 主要内容：
– 由于 AI 会渗透到依赖的软件和系统中，人们希望其模型开源，但不现实。
– Vaughan-Nichols 指责顶级 AI 供应商不愿开源，称企业想借开源的积极内涵美化产品，但也可能因商业因素无法开源。
– 不能期望所有公司都完全遵循开源定义，如 Red Hat 并非对所有公司都是好的商业榜样。
– 开源和专有软件已共存多年，AI 领域也不例外。
– 多数开发者更关心工作成果，如模型的成本、速度和性能，不在意其是否开源，如 Mistral、OpenAI、Meta’s Llama 等。
思维导图：
文章地址：https://www.infoworld.com/article/3485382/lets-just-get-the-work-done.html
文章来源：infoworld.com
作者：InfoWorld
发布时间：2024/8/12 9:00
语言：英文
总字数：750字
预计阅读时间：3分钟
评分：82分
标签：开源,专有软件,开发者优先级,软件行业,技术采用
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Given the likelihood that AI will increasingly permeate the software and systems we depend on, it’s fair but unrealistic to want those AI models to be open source. Vaughan-Nichols blames “top AI vendors [that] are unwilling to commit to open sourcing their programs and data sets,” suggesting that “businesses hope to gild their programs with open source’s positive connotations of transparency, collaboration, and innovation.” Maybe? Or maybe they don’t have the luxury of giving away all their code because that turns out to be really bad business. I know some like to lazily gesture at Red Hat as some classic example of what business success looks like, but it’s actually a terrible example when compared to Meta, AWS, etc. As Hugging Face’s Sasha Luccioni said at the United Nations OSPOs for Good Conference, “You can’t really expect all companies to be 100% open source as the open source license defines it. You can’t expect companies just to give up everything that they’re making money off of and do so in a way they’re comfortable with.”
Let’s just get the work done
Maybe we’d like reality to be different, but after decades of open source and proprietary software living comfortably together, why would we expect AI to be any different?
Just as with cloud and with on-premises software before that, most AI software will not be open source. Now, as then, most developers simply won’t care, because most developers care more about going to their kids’ soccer games after work than existential open source issues. For years we’ve fixated conversations about open source on the wrong things, and younger developers have mostly tuned it out. But whether young or old, developers care about getting stuff done. They care about the cost, speed, and performance gains of Mistral’s latest model, and not so much about its non-open source license. Ditto OpenAI, Meta’s Llama, etc.
