mansplaining as a service

On the last Friday of each month I curate some of the observations and insights that were shared on social media. I call these Friday’s Finds.

Anytime anyone says: “thoughts and prayers” — my response is going to be: “pitchforks and torches”@Julie Webgirl

Could this be because they can recognize it as mansplaining as a service? — @Diogenes Pontifx
“… women were consistently more skeptical than men that AI benefits would outweigh its risks, and were less convinced that their professional lives would gain because of the technology.” —Fortune

Is AI Profitable Yet?

The AI economy is circular: Google funds Anthropic, Anthropic runs on Google Cloud, Amazon funds Anthropic, Microsoft co-invests with OpenAI. This means aggregate industry figures double-count some revenue flows. This site is one person’s best effort at an honest picture, not a financial audit.

The American epoch of oil is collapsing. What comes next could be ugly

… democracies across the planet are now threatened by what might be called fossil fuel fascism – an extremist political movement that breaks laws, spreads lies and threatens violence in an increasingly desperate attempt to maintain markets for oil, gas and coal that would otherwise be replaced by cheaper renewables.”

Tech these days: “You have to work from the office so you can have serendipitous interactions with your colleagues that we replaced with the AI that you have to prompt from the office.”@Josh Sutphin

I used to be a professional translator with two university degrees in the field. I quit my 15-year translation career a few years ago because idiots think “AI” translations are good enough and just need a low-cost pass by a “translator”.

I saw quality drop considerably across the board, and can guarantee you: this is going to get people hurt and killed. A bad translation in a TV manual is annoying. A bad translation in medicine (my speciality at the time) or complex machinery docs can be deadly.

People are going to find out the hard way. —@Thom

THIS IS YOUR MACHINE LEARNING SYSTEM? YUP! YOU POUR THE DATA INTO THIS BIG PILE OF LINEAR ALGEBRA, THEN COLLECT THE ANSWERS ON THE OTHER SIDE. WHAT IF THE ANSWERS ARE WRONG? JUST STIR THE PILE UNTIL THEY START LOOKING RIGHT.
 XKCD 1838 (2017)

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