And at the Eisenhower library, as I researched religious nationalism in the 1950s, I found a document that once again subverted the expectations I originally had (and that AI would still have)
And at the Eisenhower library, as I researched religious nationalism in the 1950s, I found a document that once again subverted the expectations I originally had (and that AI would still have)
Nope!
Nope!
I thought it’d be focused in the 1960s and 1970s, revolving around a counterrevolution on social issues.
I thought it’d be focused in the 1960s and 1970s, revolving around a counterrevolution on social issues.
AI might be able to summarize (poorly) what we currently know, but a major goal of historical research is to find the hidden surprises out there.
Let me illustrate …
AI might be able to summarize (poorly) what we currently know, but a major goal of historical research is to find the hidden surprises out there.
Let me illustrate …
-politicians & regulators
-journalists
-influencers & public intellectuals, with high visibility/influence on X, across both left & right political ideologies
we're interested in existing datasets too
-politicians & regulators
-journalists
-influencers & public intellectuals, with high visibility/influence on X, across both left & right political ideologies
we're interested in existing datasets too
We analysed over 40,000 computer vision papers from CVPR (the longest standing CV conf) & associated patents tracing pathways from research to application. We found that 90% of papers & 86% of downstream patents power surveillance
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We analysed over 40,000 computer vision papers from CVPR (the longest standing CV conf) & associated patents tracing pathways from research to application. We found that 90% of papers & 86% of downstream patents power surveillance
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