3,427 karma · joined January 23, 2021
Later marriage/first pregnancy is clearly a good thing.
https://www.who.int/health-topics/adolescent-health/pregnanc...
We can say the factory is better.
This is pretty easy to reason through: if a girl knows nothing about the world, a safe place for her to be is with someone who knows more. If a girl knows how to function in the world on par with a boy/man, or at least has visibility into a future where she can, there is no longer that fear/dependence cycle locked in.
eg How Much Education Is Needed to Delay Women's Age at Marriage and First Pregnancy? https://www.frontiersin.org/journals/public-health/articles/...
The power of education to end child marriage - UNICEF DATA https://data.unicef.org/resources/child-marriage-and-educati...
> Having trouble understanding the final line:
> > Also, those that claimed this article is ironically a casualty of it’s own complaint are 100% right, Kudos.
> Why would the article be a casualty of its own complaint?
The author probably sourced the article using AI; the sources don’t quite align in the way they often don’t when sourced by AI.
I would be happy to discuss the topic in more detail but your responses have so far consisted of telling me I don’t understand what you’re saying, but without clarifying your position further.
France’s data protection regulator (CNIL) fined Google €325 million in 2025 for displaying ads between Gmail messages without consent and for placing cookies during account creation without consent. This is on top of prior fines of €100 million in 2020 and €150 million in 2021 for cookie violations, so this is a documented pattern.
The Dutch government commissioned Data Protection Impact Assessments (DPIAs) on Office/Microsoft 365. The 2018 report found Microsoft collected 23,000–25,000 different telemetry events from Office and called it “large scale and covert collection of personal data”
The FTC went after Zoom in 2020. The complaint alleged that since at least 2016, Zoom misled users by claiming “end-to-end, 256-bit encryption” when it actually provided a lower level of security, and Zoom saved the cryptographic keys that would allow it to access the content of customers’ meetings.
You could also just go read their own policy documents, or ask AI to explain what is possible under those to you if they are too dense.
The rest of your comments confirm what I said. I am really unclear how you think I have misinterpreted your comment.
> I don't think it's the conspiracy theory that you're making it out to be.
Which is it then?
If someone recorded the inner monologue of human decision-making, would it look like a logician’s workbook? No, I don’t think it would. People like to pretend they are rational.
I do. I will accept the donation either way, but in terms of so much else, I fucking do.
> 2) Range hardcapped at ~1m due to how ultrasound works, you can't centralize detection. Their answer is to give everyone in the household a wearable receiver, which is eeeeeeeh idk, doesn't look consumer-friendly to me.
Sure yes if you could do this with an always-listening smartphone or smartwatch that would be workable, but even then it constrains it to an occupant-activity detector.
Fixing that would require in the best case prompting an app install when visitors arrive. And still it is deaf to any other changes such as a door closing in the wind.
All possible, but feels several technosocial cycles away. Interesting to think about anyway.
It is generally the first thing they do — try to figure out what did you mean with this prompt. When they can’t infer your intent, good models ask follow-on questions to clarify.
I am wondering if this is a semantics issue as this is an established are of research, eg https://arxiv.org/pdf/2501.10871
> To make the comparison apples-to-apples, we rewrote the vision prompt as an explicit UI walkthrough, naming the sidebar items, tabs, and form fields the agent should interact with at each step. Fourteen numbered instructions covering the navigation the agent had failed to figure out on its own.
This is a model problem, though. Because the model failed to understand it could scroll, you forced it to consume multiples of the tokens. Could you come up with an alternative here?
Do you know what the vision model was trained on? Because often people see “vision model” and think “human-level GUI navigator” when afaik the latter has yet to be built.
That is exactly what parent did:
> they are doing an insane level of complexity to shave off ~100 ms
The downside is everything they had to do to achieve it, and maintaining that capability going forward, when the product can tolerate much more. It is the definition of premature optimization.
It just maybe isn’t at a level where it is relevant in your argument/decision space in IT.
was at some point understood by that programmer, at least for a few months, before they moved on to something else and forgot important context and detail, or left the company
This is an extraordinary claim. Self driving cars just need 15 ft grid panoramic images that are months or years stale? What experience are you basing this claim on?
I interview people about this kind of thing and have noticed a trend.
Or it is something that clearly conceptually exists, and makes simplistic reductionist viewpoints impossible to prove, which frustrates those who attempt to extend them into twisted metaphysical conjectures.
How do people continually fall for this. Refusing to look at the playbook that has been run time and time again and then getting offended when it is too late.
That is why it breaks down — once it is discarded in a melting pot the cultural expectations are unclear and it seems you’re at least initially dependent on the state or mob dynamics.