Data was the new oil, and now AI is the new plastic.
From user yabones
on HN, discussing media companies’ blatant strategies for using “AI”-based text generators to spam content for Google Search Engine Optimization.
Search
Data was the new oil, and now AI is the new plastic.
From user yabones
on HN, discussing media companies’ blatant strategies for using “AI”-based text generators to spam content for Google Search Engine Optimization.
In situations where we are able to design randomized trials, big data makes it feasible to uncover the causal models generating the data.
The author doesnât make this point very big but it is actually quite important. There are many cases in which it is unethical to undertake a conventional scientific study of certain phenomena… Even though we know that those phenomena are happening anyway. If the data is collected ânaturally,â however, we may be able to trace and track patterns in these data without putting ourselves in precarious ethical situations
There is a significant gap in research about Canadian data collection activities on a granular scale. This lack of knowledge regarding data collection practices within Canada hinders the ability of policymakers, civil society organizations, and the private sector to respond appropriately to the challenges and harness unrealized benefits.
So true. This looks like an interesting series from the great team at Brookfield.
Herein, then, lies the tyranny of classification: The borders we draw for ourselves create a prison of thought and collaboration, inhibiting movement, connectivity, and learning.
Dominic Hofstetter outlines the many benefits of categorization, too. We have to have both specialization and generalizationâcategories and loose files. The key is developing processes, protocols, and ways of working that elevate the benefits of both.
Baldwin - Minutes of the General Council of Indian Chiefs - 1846.pdf.pdf
|
|
%%
Carpé data - Van Kleek et al - 2013.pdf
Index/2021/Winter/Carpé data - Van Kleek et al - 2013.pdf
|
|