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> Both of your examples are wrong.

They are not entirely wrong. The person you replied to said "that country's citizenship":

> So a person who was born in the US and is therefore US citizen at birth will not be allowed to have that country's citizenship

Taking example of China, you said "the child is issued a Travel Document and treated as a citizen domestically"

"Treated as a citizen" is not same as "having Citizenship". OCI card holders are India are pretty much treated as citizens, except few rights such as the right of suffrage/ability to engage in agricultural land use etc, but that doesn't make them citizens of India.


> my friend thought he just needed a faster computer.

Another contributing factor to rising consumer electronics prices due to vibed up coding is just what we needed.


I use Vivaldi because of its Workspaces which have so much better UX than tab groups. I don't need to see my Social or my Tech tab group until I'm switching for it; Firefox shows them all the time - atleast I haven't found a way to hide them and associated tabs until I need them without having to launch a new window. In Vivaldi, they are ready to use immediately upon switching while keeping everything in the same window keeping my taskbar clean. All this while not making my CPU fans run like a jet engine.

I would rather have this experience with Firefox but they are probably more busy focusing on email, vpn and whatever the flavor of the month is.


It’s my daily browser. Small glitches occasionally and can lag chrome releases, but the best absolute non-adware browser with powerful features.

I have it configured to be ultra minimal with the look of Arc that I loved.


As much has many people have voluntarily given into this, a while lot have been pushed into it at work. When the new norm is to be able to deliver everything instantly, quality has to suffer. As much I miss carefully hand rolling all my code under relatively generous deadlines, those days are gone.

> but also says a lot of it comes down to just getting a feel for when the LLM is going to go haywire

That has been my experience too. The days when I'm very focused, being extra deliberate and constantly questioning/examining/challenging things, the results are much better. Autopilot days just go through in a daze and the outcome is objectively worse. This has made me much more hands-on and pushed me towards models which are actually not that "clever" like codex at effort=low but fast. Given that I'm doing the meat of the thinking, might as well not be slowed down by the model and lose the flow.


+1 to all of this. The challenge can be staying focused and thinking when the AI assistant is (1) moving very fast and (2) often times doing multiple things at the same time.

I know I have struggled to keep up, and fall into the trap of approving things (either commands or recommendations) without taking the time to really process and think about them.

It's a bit like the age old problem of "it's super easy to ask questions, and can be super hard to answer many of them". So the economy of the conversation gets out of whack fast.


Well they hitched their wagons with their eyes wide open. Highly qualified engineers can't even feign ignorance due to lack of knowledge or education.

I have been using Deepseek v4 pro for personal projects and home infra related work for last couple of weeks. It's quality of work is not bad at all, it is fairly fast and given the fraction of the cost compared to Claude, I can keep going which makes it a very compelling option. Looking forward to trying out Kimi 2.6, thanks for the recommendation.

Compaction is basically seamless which is a major weak point of Claude. At effort=low, Claude is better than codex but still slower. If you don't mind trading the upfront quality of work with additional micromanaging but at a faster speed, it is fine. I also think because of that very reason, you absorb more of the code.

Certified AI Auditor jobs incoming.

Yes. Will be interesting to see how this evolves. Depending on the task, wouldn't be surprised if, between the cost of an AI tool and the cost/effort of auditing it, you go full circle and don't actually get an efficiency gain

I do think there is going to be an entire risk market for insuring against AI mistakes.

Nobody in their right mind would take that bet.

> We’re re-organizing R&D to create roughly 60 smaller, more empowered teams with end-to-end ownership, nearly doubling the number of independent teams.

This seems to be the new emerging theme. I wonder if the idea is to let these smaller teams fight it out and those who survive, do so at the expense of others? If so, instead of meritocracy, usually politically savvy ones win. Or maybe the motivation is deliberate fragmentation allowing for easily picking and choosing for further reduction? Or maybe I'm just too cynical for my own good.


Employees maybe are too collaborative? And management thinks dividing and conquering will give them an even bigger hand.

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