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Meanwhile, In Taiwan…
Regular readers will forgive me for recycling a bit of my own copy. There are only so many ways to introduce the same set of data -- only so many times I can paraphrase myself.
With that in mind, let me reiterate that when it comes to global growth canaries, you could do worse than Asian exports and factory output. In 2023, Taiwan is my preferred canary. As I’m fond of putting it, the island is a barometer for two kinds of hard landings: Economic and geopolitical.
So, I like to update indust
We’ve seen some positive real-life stories on AI. Along with a parade of just ridiculous results from the main AI purveyors, such as one this week about very learned analyses and comparisons of new Apple and Android cellphones, which do not exist. More worrisome is the talk surrounding the reuse of model outputs in later queries as data sets get combed through over & over.
I just got around to reading a WSJ piece “Medical-Record Startup Uses AI, Human Power.” (Monday July 24). The company had to hire 200 people to review, correct and cull AI generated renderings of medical transcripts.
“DeepScribe has made sweeping claims about the power of AI, but the work by its contractors shows the technology can’t pull off some basic chores in medicine without heavy human assistance.” Al Dunlop would not like that outcome!!