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A 2030 Morning Routine
86 LorenDB 33 5/23/2025, 12:09:33 PM marginalia.nu ↗
It made me step back and think about how some of these AI products are named and I honestly prefer when a product isn't named like a person. Just to think of two: you have "Claude" and "Alexa" which gives the impression you are speaking to a person when you very very much are not.
I gotta say I kind of prefer the name "ChatGPT" that OpenAI went with. It doesn't try to pretend it's a human with it's naming and also describes what it is in it's name.
https://rumca-js.github.io/quickstart/public/posts/2025-05-2...
https://www.lightspeedmagazine.com/fiction/the-perfect-match...
As the door closed behind them it became apparent that it did indeed have a satisfied sigh-like quality to it. “Hummmmmmmyummmmmmm ah!” it said.
http://www.technovelgy.com/ct/content.asp?Bnum=135
There will be fewer and fewer of us in years to come, but real estate doesn’t grow on trees!
https://techcrunch.com/2025/05/22/the-wild-story-of-how-gut-...
Next - they will take the resulting "output" physical mess and turn dump it into a methane fuel-generating waste-treatment plant.
If that still doesn't make enough $$$, and your measured productivity metrics are not good enough, don't worry - if you also end-up living in one of the "techbro sponsored corporate feudal city-states" you can always help the company by being turned into "biodiesel":
https://newrepublic.com/article/183971/jd-vance-weird-terrif...
You clearly haven’t listened to enough ”state of the art” AI voices. Even in languages blessed with centuries’ worth of training data the butchered proper nouns and misemphasized syllables are grating.
As a misguided side effect of RLHF, the models which occasionally succeed in hiding their monotony will just indiscriminately vary the speech with a random patchwork of poorly timed pauses and melodic patterns. Good luck maintaining cohesion and semantic grouping of words.
And that’s for the five or so widely used easy languages.
God forbid your European car manufacturer, instead of using the completely adequate and predictably consistent Siri-style GOFAI solution, decided to use some cheap Elevenlabs-copycat API for localised driving directions.
Now you’re dealing with bandwidth and latency issues, pronunciation that constantly changes, and utterly unusable performance in your 10 million speaker ”niche” language. For many of these languages rule-based algorithms were good enough and our solar system will freeze before you accumulate enough training data for the current generation TTS to perform well.
https://en.wikipedia.org/wiki/FM-2030
That’s definitely the bad place