The SaaS era was defined by unbundling: find a workflow, optimize it, own it.
作者提出了一个令人惊讶的产业周期观察:SaaS时代以专业化解绑为特征,而AI时代却重新走向整合,这种反向转变反映了技术成熟度和市场需求的根本性变化。
The SaaS era was defined by unbundling: find a workflow, optimize it, own it.
作者提出了一个令人惊讶的产业周期观察:SaaS时代以专业化解绑为特征,而AI时代却重新走向整合,这种反向转变反映了技术成熟度和市场需求的根本性变化。
We believe that the net benefits of scale outweigh the costs associated with these qualifications, provided that they are seriously addressed as part of what scaling means. The alternative of small, hand-curated models from which negative inputs and outputs are solemnly scrubbed poses different problems. “Just let me and my friends curate a small and correct language model for you instead” is the clear and unironic implication of some critiques.
This is the classical de/centralization debate, visible today also with regard to online platforms. Which, by the way, are or will be inserting LLMs into their infrastructural stacks. Thinking about de/centralization always reminds me of Frank Pasquale's "Tech Platforms and the Knowledge Problem" https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3197292
ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144