Tehdastehdas

https://en.wikipedia.org/wiki/The_medium_is_the_message

Ah, of course, plant growth season makes the line squiggle.

That was yesterday. It’s about 428 now. The line goes straight up, as capitalism demands.

https://www.co2.earth/monthly-co2

Wet a turban to cool the brain?

https://gearjunkie.com/apparel/ergodyne-evaporative-cooling-hat

TikTok is an anti-democratic sabotage tool that should be banned, not endorsed.
https://www.amnesty.org/en/latest/news/2023/11/tiktok-risks-pushing-children-towards-harmful-content/

https://www.themeateater.com/conservation/environmental-issues/studies-show-3-of-drivers-swerve-to-hit-snakes-and-turtles

… pickups or SUVs accounted for 89% of the “kills.” Cars accounted for the other 11%.

… those that are older, male or hold “right-wing” political views – are less likely to report feeling …

“Feelings are for pussies! Am I right, boys?”

Soon to be targeted at the chatbot maker’s political enemies.

Seems unsustainable to just let the old trees grow (capture carbon) slower and slower. Isn’t a long-lived wooden building the best capture, so log away to make room for new growth? Paper and Ikea furniture, not so well captured, soon burned in a power plant.

As a long time vaper, I never get any withdrawal symptoms after quitting - quite the opposite: the first week is still tolerable, but then the depression comes back and never leaves in 9 months of abstinence.

Antidepressant and Anxiolytic Effects of Medicinal Cannabis Use in an Observational Trial

Results: Medicinal cannabis use was associated with lower self-reported depression, but not anxiety, at baseline. Medicinal cannabis users also reported superior sleep, quality of life, and less pain on average. Initiation of medicinal cannabis during the follow-up period was associated with significantly decreased anxiety and depressive symptoms, an effect that was not observed in Controls that never initiated cannabis use.

Worked for a notorious backstabber, got stabbed in the back. Is this the right time for victim blaming?

Just a credible threat.

Before a tankie comes in propagandising the 1992 consensus that says “there is one China, our China”, by which China means PRC (People’s Republic of China) and Taiwan’s ruling party KMT meant RoC (Republic of China), let me add some detail:

After effectively losing the Chinese civil war in 1949 by retreating to Taiwan, RoC martial law era ruling party KMT first threatened to retake China until 1991, and then diluted the plan into “reunification” and cosied up with China. Last time KMT said “one China” was in the 1992 consensus, at the end of martial law. Taiwanese people never agreed with KMT’s hubris or sucking-up, which shows in voting results since the martial law ended.

Now Taiwan is stuck with the official stance of “one China” because China’s (PRC) Anti-secession law of 2005 promises war if Taiwan changes its name from the old “Republic of China” (since 1911 in China, since 1945 on Taiwan) to “Republic of Taiwan”. They missed a chance to become officially Taiwan the country. Most parties in Taiwan support “status quo”, “don’t rock the boat”.
https://en.wikipedia.org/wiki/Politics_of_Taiwan#Current_political_issues

Sucks to walk and bike in a car dependent city?

We’re making the same mistake with AI as we did with cars; not planning human future.

Cars were designed to atrophy muscles, and polluted urban planning and the air.
AI is being designed to atrophy brains, and pollutes the air, the internet, public discourse, and more to come.

We should change course towards AI that makes people smarter, not dumber: AI-aided collaborative thinking.
https://www.quora.com/Why-is-it-better-to-work-on-intelligence-augmentation-rather-than-artificial-intelligence/answer/Harri-K-Hiltunen

https://www.quora.com/Who-invented-the-modern-computer-look-and-feel/answer/Harri-K-Hiltunen

Not Fediverse, but an example of what works:

Quora used to have a fantastic crowd-edited question topic ontology/taxonomy for precise feed shaping with thousands of disambiguated topics interlinked in a graph/tree structure, but they enshittified the system away 2023, and now it’s all LLM misunderstandings of what the question topics should be. The bot thinks a question is about apples when the question is a mathematics word puzzle; “How many apples…”. The excuse for AI tagging was “tags can be abused” when in reality the crowd corrected the abuses quickly and reported the offenders. With the new AI tagger, my feed turned into viral trash from Quora-celebrities, mostly about current news.

They never made the obviously needed features of:

• being able to topic tag answers, not just questions (for when the question is general and the answer is specific, like “What do you think everyone needs to know in 2025?”).
• the ability to follow a topic from a user, because most people write about many topics, so a follow-a-user brings uninteresting topics to my feed, but not all people write well about that topic I want to follow, so I’d need to follow that topic from good writers only.

Commanding a bad/incompetent/overworked parent to become a good parent doesn’t make it so.

everything is made with fossil fuels and we need them

So let’s stop burning them?

First-mover disadvantages win sometimes.
https://en.wikipedia.org/wiki/Law_of_the_handicap_of_a_head_start

Failed first movers:
https://en.wikipedia.org/wiki/Tucker_48
https://en.wikipedia.org/wiki/Xerox_Alto
https://en.wikipedia.org/wiki/IBM_Simon