谷歌在沉寂了很长时间以后，终于发了一个不错的模型，而且还是开源的 Gamma 4 系列。专门用来在本地设备（比如手机、电脑）上跑
大多数人认为谷歌作为 AI 领域的领导者会持续专注于云端大模型，但其突然转向端侧开源模型的做法令人意外。这种战略转变表明谷歌可能重新评估了 AI 部署的未来方向，从集中式向分布式转变，挑战了'更大模型更好'的行业共识，暗示了端侧 AI 可能成为下一个技术热点。
4 Matching Annotations
- Last 7 days
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- Feb 2022
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arstechnica.com arstechnica.com
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Google killed SG&E about one year after Stadia launched, before the studio had released a game or done any public work. In a blog post announcing Stadia's pivot to a "platform technology," Stadia VP Phil Harrison explained the decision to shutter SG&E, saying, "Creating best-in-class games from the ground up takes many years and significant investment, and the cost is going up exponentially."
I suspect Google wanted faster, more measurable results than is possible with game development. There's a reason why tech companies are vastly more profitable than game companies.
I don't particularly see the shame in changing a strategy that isn't working. As an early user of Stadia I do see the lost potential though, maybe that's where this is coming from.
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- Aug 2020
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www.documentcloud.org www.documentcloud.org
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This is interesting for many reasons, and it is especially interesting for content strategists. It shows how closely different semiotic practices/forms of content are interrelated, e.g. emails and official statements. It also shows how difficult it is to distinguish between content strategy and propaganda. Via Jeff Jarvis auf Twitter
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- May 2020
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www.pnas.org www.pnas.org
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Bento, A. I., Nguyen, T., Wing, C., Lozano-Rojas, F., Ahn, Y.-Y., & Simon, K. (2020). Evidence from internet search data shows information-seeking responses to news of local COVID-19 cases. Proceedings of the National Academy of Sciences, 202005335. https://doi.org/10.1073/pnas.2005335117
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