The Dungeon of Dark Patterns
Sources and bonus timelapse: https://www.peppercarrot.com/en/miniFantasyTheater/049.html
my dude has rediscovered the commons and I could not be happier for them
Cory Doctorow on how Comrade Trump is destroying the US empire to save it for fossil fuel companies:
"The Strait of Epstein crisis is going to do more to accelerate permanent, unidirectional migration away from fossil fuels to cleantech than decades of environmental activism. Cleantech is so much better than fossil fuels – cheaper, more reliable, cleaner – that anyone who tries it becomes an instant convert. That's why the fossil fuel industry has been so insistent that no one get to try it!"
https://pluralistic.net/2026/04/20/praxis/
#CleanTech #GreenTech #USPolitics #CoryDoctorow
Side note, if you want to see how common of a pattern this is, and I can't believe I didn't think of this earlier, go search Github.com for 'deleteduser.com', lots of examples of delete functions from apps there that do this type of thing.
I've already reduced my personal footprint. Sold my ICE car in 2018. Ride my bike and the bus as much as possible. Grow lots of my own food. If I count all the biochar I make, I'm a net remover of CO2 and have been for quite some time.
I don't do business with billionaires. I deleted my accounts with all the social media sites, shut down my AWS instances, and moved my Kiwisaver out of all US equities.
How much impact has any of this had on CO2 levels in the atmosphere?
Sweet.
Fuck.
All.
The only possibility we have to turn this thing is to change the system, and the only way we do that is with radical accountability for everyone who profits from our collective misery.
Don't tell me to take individual action. I've been doing that most of my adult life and I can see the results. I'm taking names.
**AI Assistance Reduces Persistence and Hurts Independent Performance. **A paper from researchers at Oxford, MIT, Carnegie Mellon and UCLA that needs to be seen by everyone in the education community.
Full Abstract in alt text.
#ai #GenAI #chatbots #edtech #education #academia #academicchatter
we're destroying the open web
we're burning down the closest thing i've ever seen in my life to the library of alexandria
and people are explaining to me how warm it keeps their hands, and maybe, in the future, the ashes will contain the secrets of the universe
i only know three people who've had a psychotic break in the last year, so maybe i am simply biased against progress
alas i am resigned to be "anti science" for daring to believe in the parade of studies that talk about skill fatigue
i am simply not capable of understanding how "a machine that makes you bad at thinking" is also "the machine that gives people agency" but i guess i don't have the right growth mindset
My stance on #LLM :
1. There _might_ be some useful use cases with this technology that could be worth exploring.
2. However, it is glaringly obvious that, as of now, their main purpose is to power the mother of all investments bubbles.
3. Which leads us to the present trillion dollar business case for "we must build energy- and water-wasting data centers everywhere so that we can scrape every single website a thousand times a month for new training data!"
4. Thus, there is currently pretty much no ethical way of using LLMs.
5. Any ethical exploration of LLM use cases will thus have to wait until the bubble has burst, the investors have moved on to the next scam, and we can sort through the rubble to check what is left.
If you program, you should read this piece.
"Ada's successes — the aircraft that have not crashed, the railway signalling systems that have not failed, the missile guidance software that has not misguided — are invisible precisely because they are successes. The languages that failed visibly, in buffer overflows and null pointer exceptions and data races and security vulnerabilities, generated the discourse. [Ada did not]"
“Stuck Character Service”
https://2ndbreakfast.audreywatters.com/stuck-character-service/
> "It's early days" – people toss out that cliche all the time to defend the failures of "AI" to work well, to be embraced, to make money, and so on. But it's not early days. Not remotely. We've been trapped in Sam Altman's ChatGPT hustle for almost five years now.
"He's one waffle shy of a teleport, if you know what I mean."
"Her teleporter doesn't go all the way to the Waffle House."
"The teleporter's on, but the Waffle House is closed."
Advice for community managers:
Use the Olivia Hill rule.
It's surprisingly easy to enforce:
Fascists get really upset and will talk to you about why the rule is bad.
You then ban them.
That's it, that's all the work it takes!
Montana's supreme court rules widely in defense of trans rights, nuking several anti-trans bills: https://www.erininthemorning.com/p/montana-supreme-court-rules-its-constitution
Honestly, at this point, my horror at the "The computers are totally thinking!" types is shifting.
For a long time, I considered it mostly a mark of how gullible some folks are.
But as the march of "progress" marching forward, I realize the horror is actually how small they imagine other people to be.
To the sufficiently advanced booster, we're all just p-zombies.
Every consensus position paper I read from software research about AI right now:
- AI should provide assistance
- but also make sure people don't use assistance
- should be a command center
- but not make people "managers"
- should synthesize data based on patterns
- but never reify patterns and ignore outliers
- "critical thinking"*
*which is what exactly
If I had to identify a list of skills in high impact engineers, it would include:
- ecological awe
- intellectual humility
- respect for the complexity of unfamiliar problems
- cross functional communication
- resilience engineering
- marketing and sales
(“Technical skills” aren’t in my top ten)
Hello #portfolioday,
I'm Bison a woodcarver from France ✌️
I take commissions, and would love to work on team projects.
🐙 https://bisonrimant.fr
✉️ bisonrimant@gmail.com
"I used AI. It worked. I hated it." by @mttaggart https://taggart-tech.com/reckoning/
This is a really good blogpost. And I"m sure it'll make some people unhappy to read whether they're pro or anti genAI. What's good about @mttaggart's blogpost is he talks honestly about how using Claude Code did actually solve the problem he set out to do. It needed various guardrails, but they were possible to set up, and the project worked. But the post is also completely clear and honest about how miserable it was:
- It removed the joy from the process
- If you aim to do the right thing and carefully evaluate the output, your job ends up eventually becoming "tapping the Y key"
- Ramifications on people learning things
- Plenty of other ethical analysis
- And the nagging wonder whether to use it next time, despite it being miserable.
I think this is important, because it *is* true that these tools are getting to the point where they can accomplish a lot of tasks, but the caveat space is very large (cotd)