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Was the wrong article linked?

The actual article title is: "China’s AI Power Play: Cheap Electricity From World’s Biggest Grid"


What year was it when you were 18? Facebook was enormous for me when I was 18, in 2008, for similar reasons. However, these days facebook is mostly just ads and generic modern feed garbage content in general.


The headlines around this are misleading potentially. I think instead of "Without Real ID" it means "Without Real ID or other acceptable forms of ID" (such as passport).


Pretty sure Nano Banana only produces images.

Nonetheless, ask it to “create an infographic on how Google works”. Do you not see any excitement in the result? I think it’s pretty impressive and has a lot of utility.


Until people ask it to make convincing misinformation. Pretty, professional looking graphs are already hard to resist.


> "Generative AI is a blender chewing up other people’s hard work, outputting a sad mush that kind of resembles what you’re looking for, but without any of the credibility or soul. Magic."

Humans have soul and magic and AI doesn't? Citation needed. I can't stand language like this; it isn't compelling.


I think the "soul" is coming from the fact that a human has worked, experimented, and tested with their physical senses a specific recipe until it tastes good. There is physical feedback involved. This is something an LLM cannot do. The LLM "recipe" is a statistical amalgamation of every ramen recipe in the training set.


Or they just wrote down what their grandma used to do and changed how much salt they put in the water.

Or they read a few recipes and made their own statistical amalgamation and said "hey this seems to work" on the first try.

Or they're just making stuff up or scraping it and putting it on a website for ad money.

"Soul" not required.

Also does an LLM give the same recipe every time you ask? I'd wager you could change the context and get something a little more specialized.


You don't see a difference between doing and tweaking what your grandmother did and an AI statistically inferring a recipe?

How is building upon your ancestors knowledge and sharing that with the world not 'soul'?


For me? Handling data like private voice memos, pictures, videos, calendar information, emails, some code etc. Stuff I wouldn't want to share on the internet / have a model potential slurp up and regurgitate as part of its memory when the data is invariably used in some future training process.


I've always wondered, what fraction of the decline could be attributed to indoor pet dogs?

Ok, this is half humorous and half serious. But I'd wager that the answer is non-zero.

This is all just anecdotal, obviously, but I think childless humans with pet indoor dogs could have less of a desire to procreate for various reasons, but perhaps mainly because the instinctual thirst to care for a living thing is quinched to some extent when you have a pet indoor dog.

Obviously not every or most or even many. But perhaps _some_.


Dog as child replacement fits too well for many western couples. There is very light care aspect included. Even bad illnesses happen and one must go to vet. With a dog you don’t need to do homework for two hours after hard workday. Nor plan children birthdays or vacations. Nor read primitive children books for hours on weekend. It’s perfect substitute without much effort.

Children are long term gain, first decade is rather hard. Teaching and training every day, hour, minute. If one wants to do it right.

On other hand dog might be better that a child hooked to a smartphone from an age of 2 years.


I had a dog, then kids and now just got a puppy and I think there is perhaps some truth to it, dogs are certainly much much lower effort/stress/cost but provide a good amount of companionship. It wasn't enough for us, obviously, but we also have minimal family connections outside our household, for others the equation may add up that a dog/cat is enough and if it was then all the power to you.


In South Korea pet strollers outsold child ones [0].

DINKWAD (Dual income, no kids, with a dog) is rising [1]. Hospitality is changing to accommodate this [2].

[0] https://www.koreatimes.co.kr/lifestyle/trends/20231226/sales...

[1] https://www.thehistoryofenglish.com/dinkwad-meaning-origin-u...

[2] https://rochsociety.com/rise-of-the-dinkwads/


Not sure why you are being downvoted. It's an interesting thought.

I will add that us having children completely erased the desire to get a dog. We almost got one just before our first born. Now we can't imagine. I think it's a combination of what you're suggesting, and also because a dog requires a lot of time we just don't have now.


Where I work someone wrote a system to allow one to save every command they ever typed and make it available for searching via cli or web app. I opted in. It's probably one of the most useful tools I've ever used.


How many credentials get exposed this way? That would be my main concern.


Centrally? Can you browse others'?


Which companies are you talking about?


In my experience over the past 5 years in EU and Asia: Increasingly many companies wont even talk to you unless you have ‘a’ PhD. You dont need this piece of paper, but it is one hell of a life hack getting one.


Are you trying to apply cold? The way it usually works is that someone you have worked with before vouches for you and that gets you past that screening.


Never cold.


American Express, Capital One, and Canonical to name a few.

Aside from Unicorn and FAANG orgs self-taught is still predominantly forbidden.


I'm self-taught. My first job I got lucky (or the grace of God, depending on your perspective). After that, it never mattered. I had experience, references, a track record.

And the older you get, the longer the track record, and the more it outweighs the piece of paper.

I'm primarily an embedded guy, though. If you're doing web apps, or desktop, or games, or phones, or high performance, or finance programming, your mileage may vary.


I'm happy to hear your success story but that has not been my experience. I am only able to get into FAANGs.


I'm sorry that that has been your experience. (Or maybe I shouldn't be sorry - FAANGs pay pretty well.) But what you say surprises me, for two reasons.

First, FAANGs get far more resumes than they have openings. Demanding a degree seems like an easy, lazy way to eliminate some. I'm kind of surprised that they don't take it. (I mean, they shouldn't take it, but I'm still kind of surprised.)

Second, many engineering organizations that are not FAANGs are trying to model their hiring on FAANG approaches. So I'm surprised that, if FAANGs would hire you, others won't - especially after you have experience at a FAANG.


Nobody cares about degrees much after you've started working.

Sure, there's very very big orgs where it matters for several positions, but it's not predominantly forbidden.


If this is true, we should keep these starred somewhere so self-taught devs don't have to waste time applying to orgs that care otherwise.


They won't pass the CV screening, so no big deal.


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