To be clear, while the capabilities of the platforms these applications are run on have changed, and there is little doubt that the actual hardware has advanced, the actual applications deployed for things like weather modelling, or drag simulation in aeronautics, are neither new nor revolutionary.

For example, many machine learning applications in medicine (genomics, vaccine research) are not AI in the sense understood by the public. Rather, they are decades old machine leaning applications which predate the contemporary "AI moment" but have been rebranded AS AI to ride the hype wave.

Relevant to the above post is the following from Whittaker's piece:

"Tech companies quickly (re)branded machine learning and other data-dependent approaches as AI, framing them as the product of breakthrough scientific innovation...When we say AI is everywhere, this is why."

And the US is bombing Syria:

abcnews.go.com/Internationa...

Wow—the complaint above dated 1996 was made by Maria Farmer:

It is incredibly grim how quickly you get used to seeing the "CSAM not scanned" image – each one documenting 51, 81, 100, or some other number of abusive images of children that (thankfully) haven't been digitised.

Grim. ("CSAM" is Child Sexual Abuse Material).

The shade is rooted in the fact that I've been covering Epstein for over a decade and people from a variety of political circles keep finding out their little heroes are implicated. Epstein was always the story the powerful did not want told. The press is still ignoring key parts of its history.

The first of many such comparisons! sarahkendzior.substack.com/p/the-conflu...