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If he already knew how to code in other object oriented languages, and was really just learning C++ syntax over the weekend, it’s not as much of a stretch.


C++ is one of the most flexible and unopinionated languages you could ever encounter.

The idea that someone who knows a high-level object-oriented language could translate that to immediate success in low-level C++ syntax at a level higher than the experts that developed the libraries over a weekend is frankly fantastical.


> the experts that developed the libraries over a weekend is frankly fantastical.

this is not synonymous with "most [C++ programmers] in industry"

The claim was the person learned it better than most people in industry, not most people writing the libraries upon which the industry is based

EDIT: Also we don't technically know when this happened. If this story is from the 1990s, it's a lot more likely, because think of how many shitty C++ programmers there were back then since we didn't have all the language options we do now. It was still the language taught in schools, for example. Then it was Java and Python and JS etc. But back then, Jonny Mackintosh was writing bad C++ out of uni.


Also it's constrained to "most people I've met in industry". If OP doesn't work with C++ developers...


It's more likely that he was a decent C developer and learnt the basics of C++ and then ignored most of it.

C++ --


prob why there is so much garbage C++ code. someone needs to set the right way of doing things


Asking in good faith, what incentives changed exactly?



And once AGI occurs, will the value of the original investment even matter?


Based on what?


Knowledge of history?

Startups eating the lunch of entrenched, bureaucracy-laden organizations is a very old story indeed -- long before Silicon Valley.


Not in commercial jet engines. The four big players have been in the engine game since the 1920s-1940s. Others came and went, some were bought or merged into them, but no one has eaten their lunch.

If they were still using the same designs they made 50+ years ago (like the rocket industry in the 2000s) I would agree with you... but they aren't. They have been constantly pushing performance to get better thrust-to-weight, efficiency, noise, etc. Whenever they get lazy (which they have) one of the other players is the one that gets to dine well. Look up "The Airforce and the Great Engine War" for an example.


I would buy one today if I had somewhere to reliably and conveniently charge it.

I live in an apartment complex without charging infrastructure. Don’t want to drive to nearby charging station and wait/coordinate rides to and from. My place of work doesn’t have enough charging infrastructure to support demand.


We’ve just been plugging our Tesla into a standard 110v outlet. It’s working fine since my wife mainly just drives it around locally. (We are getting a L2 charger soon)


Do you live in an apartment complex? What's the home parking situation like?


we have a single family home. but the garage opening is too narrow for a Model Y, so we park in the driveway with the charging cable run under the garage door.

It’s… fine? Not perfect but also liveable for now.

We used to live in a condo and there were plenty of 110v outlets in the shared garage space we probably could have used.

The car drives much better than any gas car i’ve ever owned and we never go to the gas station. I wouldn’t go back to an ICE if I could avoid it.


Not sure why, but I found this gave me a lot of anxiety.

I think maybe the focus and fine motor control needed to keep the ball within the lines…


I’m assuming the generative AI functions are not running purely locally and would be sharing your data to Microsoft/OpenAI ?


When I was younger I routinely worked late nights (I’d work normal business hours, then go grab a subway and come back to the office and work until 10-12. I enjoy working alone at night, and I wasn’t using that free time productively, so I figured why not. It did help my career trajectory significantly.

As I’ve gotten older and have better uses for my time I find myself working a ~40hr week and checking out. Occasionally if I have a challenging problem that requires deep focus I’ll log on at night, but only because I like the satisfaction of “the grind” every now and then.


Out of curiosity, what better uses for your time did you find as you grew older?

I may be an outlier, as I'm a bachelor (not much family/relationship time allocated), but I've found myself diving hard into work again as I come into my 40s, after really taking it easy in my 30s.


Not the OP. I used to work hard at night in my early 20s, but now ( approaching 30s), I find it hard to even think about work when the day’s over. I play games sometimes, I have a backlog of movies I want to watch — I have a nice system — and I have various things on my plate to learn. Reading books — fiction — can take a huge chunk of my personal time, and I enjoy spending an hour or two listening to music albums in my collection.


> I have a backlog of movies I want to watch — I have a nice system

You mean a system to handle your backlog of entertainment? Would you provide more details?


For me, “better uses” of my time include spending afternoons with my family.

But in the evening once they’re all settled, I do frequently work. I don’t enjoy TV and social media is cancer. I’ll play the occasional video game with mates.


If you are using the OpenAI APIs then are all your user’s emails making it onto their servers?


Based on Andrew's response, yes it looks like they'll be using external AI services. But since their target customer is most likely someone who uses GMail, I don't think privacy is really a heavy focus for this product.


Any references for this? I would like to read further.


Posted it above but I read about it in the book Expecting Better by Emily Oster. She cites this study https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD...


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