Wily dimbulbs, old fogies, and puzzled AIs

If disinformation is bad, datinformation must be good.

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I like to separate the “wily” from the “intelligent.” Predators are wily, but they’re working on instinct, not smarts. beloved President Stump is wily, yes, but with no intelligence behind it; he parrots back what his cheering crowds mouth.

That’s dangerous in itself, but there’s a difference between his malevolence and that of a a fascist like Hitler, who was definitely smart and truly believed some of his mad ideas. Dump believes in nothing beyond his own skin and has no core values. He cheers America because of what it can do to stoke his ego, draw attention, or make money for him.

He can barely put together a coherent sentence and has been an object failure as a businessman, but he’s been wily enough to garner the support of others as ignorant as himself.

An elemental coward who cancels meetings and interviews because he’s afraid of anyone saying bad things about, or, worse, to him. And since no one in Ukraine votes in our elections, they can all go to hell.

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Much of the rancid ranting online by the far-right comes from the senile crabbiness of old farts like me. One of my major hopes for our country is that my generation will soon die out, the sooner the better.

The election of more women – and women standing up and yelling – are wonderful advances. But I fear the country will have to collapse much further before it can rebound. And it has to learn how to rebound, not drift backwards into a passion for sinkhole periods like the 1950s.

Looking back to and through the ‘60s, when I was in my 20s, and feeling that society might be at last learning the value of inclusion and welcoming, it’s sad to see so many of my contemporaries vote for lunatics, dimbulbs and rabid dogs.

Maybe it will be much the same will happen over time if the Millennials and Generation Z (damn such vile designations for the young) become as self-centered as those of us who’ve now sunk into the mire.

I hope not. For all my basic social dyspepsia, I’d love to see them prove me wrong.

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I haven’t done crossword puzzles in years, but there as a period in my teens when I bumbled through a series of small Penguin puzzle books, back when Penguin was a cheap British paperback publisher, rather than the leading dingle on a hedge-fund corporate book-distribution butt.

The British idea of crosswords back (still?) was intriguingly different from the American, its clues often depending on puns and interwoven meanings, rather than straight-ahead Webster definitions. Recently, I’ve been wondering how AI chatbots would/could handle these.

The one clue and answer that I particularly remember from one Antarctic birdie entry was this:

Clue: twaddle or machine part

Answer: rotor

“Twaddle” in England refers to trash or verbal nonsense, which is also called “rot.” So the answer is a combination of “rotor” and “rot or.” I loved that – and still do.

Now, how much true intelligence does it take to design and unlimber a convoluted verbal problem like that? No doubt a computer could do it within a specific context, but would it, at this stage in programming progress, be able to wangle something this linguistically convoluted on its own, without external direction?

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Dream #19 [lucid?]

I forgot most of the beginning on waking – a criminal or similar activity in West Philly. It involved a lot of driving.

“We” were somehow involved with a drugged out, immobile Black teen and his mother, at the tine peripheral characters. Later, something that happened up north made it necessary to pretend that the teen had been killed and to tell his mother that he was dead.

We traveled back to West Philly, to an area where I always get peculiarly lost in my dreams. I said to somebody, “Don’t go through there, that’s where I always get lost in my dreams, in tiny alleys and through people’s houses and back yards and have to crawl through small spaces.”

I didn’t think I was dreaming, I just didn’t like the association (this is an area that does not exist in reality – akin to Woodland Ave. in the mid 40s, but entirely different).

We ended up back at the rundown houses/apartments where we told the mother her son was dead. She curled in a fetal position against the wall and cried non-stop. I was very upset and thought maybe we should tell her the truth, but it seemed too threatening to us.

Later, she got up and went downstairs. We hear a rapid series of staccato sounds – not gunfire, more like firecrackers. We were sure the mother had done something suicidal. When we looked out the window, the large area in front – looking like foreshortened city blocks with no buildings – was crowded with people, mostly children.

One by one and in small groups, they began to collapse and drop to the ground. They weren’t bleeding but we knew they were dead. We couldn’t understand what kind of weapon the mother had used to kill them and what caused the delayed effect. After awhile, all 30-50 people were dead.

The kicker: We later found that the mother and son were planning a much larger massacre, and that the son was collecting the necessary materials for it. She had been crying not for the loss of her son but because she couldn’t complete her plan.

The latter part was probably inspired by a dream from several years ago of lobotomized children being massacred. I later published that dream as a short story titled “The Children” (also to be unleashed in the collection Farewell My Zombie, coming to Amazon).

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