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I feel like the regular weight loss group was? Since it isn't necessarily rocket science for having mostly men stay in an easily determinable caloric deficit to lose weight. (Women have usually would be harder due to more conditions and hormone interactions that make finding a TDEE not as simple.)


Someone with quotas


Big fan of this push back, because there are alot of projects that have that smell over engineering with the wrong base. (especially with vibecoding now) Thought there are use cases where some have lots of medium-sized data divided up. For compliance, I have a lot of reporting data split such that duckdb instances running in separate processes work amazing for us especially with lower complexity to other compute engines in that environment. If I wanted to move everything into somewhere a clickhouse/trino/databrick/etc would work well the compliance complexity skyrockets and makes it so we have to have perfect configs and tons of extra time invested to get the same devex


I think articles like this need the pre-amble/framing of accommodations given to neurodivergent individuals come with benefits that are not, otherwise, intuitive to those without that 'flavour' of neurodivregance.


Thanks! These look like great resources for me to get digging into


Weird how they keep making it the coolest thing that I won't buy


Theres alot of what about women arguments which is fair, but I think it's entirely fair to view this as a harm to men's mental health, and it should be the focus.

Right now, we have a societal issue of isolating, vulnerable men. Men have the highest suicide rate, are statistically more likely to commit violent offenses and have a high rate of domestic abuse. 'Incels' who are likely these companies target market have committed domestic terrorism. I think this is an issue we should 100% be looking at, imagine what happens when there is AI misalignment? They could become a risk to themselves and others, the last thing we need is a unreliable tool for someone in that situation to sooth the pains of social isolation.


> 'Incels' who are likely these companies target market have committed domestic terrorism.

Just FYI, incels are empirically less likely to commit violence than average.


> Incels' who are likely these companies target market have committed domestic terrorism.

No sex this month? Straight to jail for terrorism.


> Men have the highest suicide rate, are statistically more likely to commit violent offenses and have a high rate of domestic abuse. 'Incels' who are likely these companies target market have committed domestic terrorism.

Do everyone a favor and stop equating 'incel' with things like terrorism.

That's a good start for not alienating those men.


Largely agree, given your definitions and clarifications, but I see some things are just co-related issues not directly a death of that programming approach. Where I see it is the gap between programmers and end users, scope of 'users' expanding to other programmers, and the increased complexity causes more abstract soft skill code delivery/management roles are entirely co-existing issues. Where they didn't cause the death directly, more a co-morbidity situation, didn't help, but it didn't cause the death. I'd say the primary cause is cost and complexity of operations, forcing the perspective shift from 'help at least one actual human being' to 'help at least <MINIMUM VIABLE MARKET SHARE> of users/developers'. I'd also as an aside argue frameworks and items directed at devs (that are well-designed), are still abstractly utilitarian, because, if they didn't exist a human would have to do the work of programming or doing the work manually so it would directly help at least 1 human.


>I suspect it’s intentionally designed to be unpleasant to encourage book sales.

Probably a mix of a style choice that didn't hit, and how pages were split up so it isn't as convenient as reading the book.


Looks like they want to build up and support middle men to do the apps more than them, and act more like a platform or operating system position. Which makes sense giant corporations reporting 95% failed AI projects and the core success cases are specialist companies tuning the platform to a specific problem are successful. Then there are a ton of snake oil AI apps that are over promising under delivering hurting the image of AI's usefulness

This is probably purely a pivot in market strategy to profitability to increase token usage, increase consumer/public's trust more than farming ideas for internal projects.


> act more like a platform

As of 19 hours into the post, this is the only comment that explains what's actually behind this sort of program.

Precursor thinking from Altman (mentions YC): https://stratechery.com/2025/an-interview-with-openai-ceo-sa...

This is how it begins. You make sure you're under the hood of everything. Everyone is "building on" you. You see all the action.

While this can be how it ends: https://techcrunch.com/2023/01/19/twitter-officially-bans-th...

But not always. For an example that ended differently, Amazon opened to third party sellers, on the side, earlier than people might remember, 1999: https://www.cbsnews.com/news/amazoncom-in-a-bazaar-move/

And how that went: https://theconversation.com/amazon-is-no-longer-a-retail-sit...

This is how you put Multivac to work, and profit.


This is like creating filters for Instagram but for AI. I am all for it. Let million flowers bloom.


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