Here's an alternative perspective: the low activation energy and addictive design has resulted in people crowding into the dating app strategy (to their own detriment).
If this is true, real-world approaches might be a better strategy than they historically have been.
One thing I've always been curious about, and have never been able to find a solid answer too, is what data is available to the various companies whose software I have on my phone?
What can AT&T/TMobile/etc... learn from my device as my carrier?
What can the apps I have installed decern from my device if I allow no access to anything settings?
How does this change if I use a vpn?
I have an idea of whats possible based on my career in tech, but I'd love a more solid answer. Happy to read any content answering the aforementioned.
If your firm cannot afford >= 400K salary engineers you will/cannot be big tech(not in the US). Good Engineers(in the US, EU etc) who command this will leave. You can be a dollar printing tech company and have good engineers but you can't be small. A lot of the economy and US tech dominance is alive because of such jobs and the larger ecosystem of evaluations(linked to GDP) that support this.
At the macro level the size of big tech is supported by evaluations: "How much it would cost to make the same thing?". This evaluation includes payroll costs. Those payroll costs are kept artificially high so that evaluations(in dollars) are high. the obscene salaries also keep the $ cost that companies charge for products, goods and services((daycare, medicine, labor, homes)) high which keep the evaluation high. You need the high evaluation to award Engineers wanting all those 400K+ salaries.
Also at this macro level the dollarized based evaluation is critical because with US's dollar dominance it can just spend to eliminate any and all competition. The government can borrow endlessly by selling debt(or so it seems).
So the key support thesis behind big tech is that if you can keep enough people, rich enough they will continue to buy and spend to support dollar evaluation of companies. The moment that is in jeopardy people(WS investors, Vice President of XYZ etc) will come out and defend it.
I would urge people who have had issues with the documentation to give the 2.0 documentation a try. Many aspects of it have been completely rewritten, both to correctly describe things in terms of the new APIs as well as to modernize a lot of old documentation that was written many years ago.
First off, SQLAlchemy's docs are pretty easy to get to, for a direct link just go to:
it's still a lot to read of course but part of the idea of SQLAlchemy 2.0 was to create a straighter and more consistent narrative, while it continues to take on a very broad-based problem space. If you compare the docs to those of like, PostgreSQL or MySQL, those docs have a lot of sections and text too (vastly more). It's a big library.
> Yet, [the scientists] struggle to move away from Python, because of network effects, and because Python’s beginner-friendliness is appealing to scientists for whom programming is not a first language.
I don't believe it's the whole story.
In my case, during my 13 years in academia, I saw my field going away from C++ and towards python. Not because of network effects (it was the opposite: it was more difficult to not use what everybody was using), or because scientists were not able to program (the entry language of the whole field was C++, and python arrived only because scientists with a deep knowledge of C++ started to themselves switch the core library to be usable with python).
I think something that computer scientists forgot when they consider the subject is that the way computer scientists do software is just not working when you do science.
In science, you use coding as an exploratory tool. You are lucky if 10% of your code ends up being used in your final publication. Because the 90% was only there to understand and to progress towards the proper direction. For this reason, things like declaring variables, which is very important when one makes a professional software, are too costly to be useful when you need to write down a piece of code that you will ever run once to check a small hypothesis, especially when you have another language not requiring it.
Another aspect is that you will present your scientific results to your colleagues, not your code (they are not interested in that), and they will come up with questions or good ideas, all very good for science, but rarely compatible with the way your algorithm was built in the first place, and you will need to shoe-horn it into your code (to test it) without taking 3 weeks. In this case, python flexibility and hackability is very useful.
It's also visible in the popularity of things like Jupyter notebooks (I have to acknowledge it even if I personally don't like working with such tools), which reuse a working approach similar to what was done in mathematica and matlab, that were created with the scientific workflow in mind.
I'm sure python simplicity has played a role. But I have the feeling that some people are totally oblivious on the fact that there may be other reasons.
There used to be a class in junior high and high school called “Home Economics.” People will give you varied opinions on why we know longer have that class, but it certainly was useful.
I’ve run the Windows ARM beta on my M1 MacBook Pro 13” and it boots quickly, runs fast and well, under Parallels. Office works good too. I had assumed that since this was a beta, that a regular ARM release would be coming soon, but apparently not? I use it to test compatibility for websites in Windows web browsers. They all work fine too.
You are paying a substantial premium for the name Omega on the front of the watch.
Here is one website that can give you an idea of how much a watch should cost built out of premium materials, but not with a luxury brand name. Steinhart watches being a great example of quality from a non luxury brand. [1]
No one really believes the parts that make up a Rolex Submariner are worth $12000. It's worth that much because it's a Rolex. You can actually buy quality forgeries for under $1000 that you'd likely need to take apart the entire watch to prove it's a fake.
I would also add that any search boxes are typically keys to the kingdom if you're scraping shops/job boards or similar things. They are often not hardened, so you can file e.g. an empty query (even if frontend doesn't allow it), or effectively disable pagination by requesting 1000000 results per page.
> If a seatbelt doest stop you from dying in 100% of car crashes, I don't understand why they're mandatory?
Interestingly, your comparison is relevant, but you are responding to an argument which I don't think is being made. The OP is _not_ arguing that vaccines shouldn't be mandatory because they aren't 100% effective.
On the contrary, the OP's argument is that since vaccines are relatively effective, one person's choice to not get vaccinated will not effect the others, and it should be up to them.
Your seatbelt example is relevant, in that the same "no-harm-to-others" argument can be made in that case too.
> Using commit log diffs as changelogs is a bad idea: they're full of noise. Things like merge commits, commits with obscure titles, documentation changes, etc.
I’d rather fix that. I’ve been following the suggestion from this website in the past. It is a nice take but tedious and boring.
Build a reading habit. Books have evolved as a central tenet of knowledge preservation of societies for a reason - they contain a lifetime of wisdom in a few hours of consumption. Read books that are 10+ years old, like High Output Management, The Mythical Man Month, and Good Strategy / Bad Strategy. They’re written by people who have done great things and condensed great lessons, don’t underestimate the depth of the words and revisit them often!
Make at least 2 really close friends that you can tell anything, preferably outside of work. You can make friends at work, just make sure you keep the friendship and hang out afterwards since work can distort relationships. As you get older it’s generally harder to make friends, but just as important to have them - so make them young!
Exercise is great, has been mentioned multiple times. Carve out an hour a week, start small, but be consistent. Healthy body = healthy mind!
> I think asking for feelings of burnout exaggerates the issue of being burnt out by a huge factor.
I kind of see where you are coming from, but I think this is an important question to ask. Asking someone's opinion on something is a REALLY good indicator of their opinion on that thing: do you hate your job, do you like chocolate, do you love your wife, etc.
While the question "are you burned out" might not predict attrition as well as other questions and it might not be "scientifically assailable" - it still does tell us something about the person.
At work, I frequently ask my team (individually), "do you feel burned out", but I ALSO ask other questions "do you feel like you are doing good work", "do you enjoy what your are doing", "do you like the people you work with", "am I a good manager (a notoriously BAD question)".
These and others help me keep a pulse on my team and what is going on in their head.
Yeah it really is time for the Mexican federal government to start training elite military forces to take out these guys and treat them as full on terrorists and kill on sight orders. War is ugly.
>4. No Autopilot. This is a big sell for many EV users
Is it really? I'm looking at an EV for my next car, and not once have I considered Autopilots availability as a musthave feature. Then again, most people who get excited about Autopilot seem to think that driving is a chore that should be removed, while I love driving.
3) Inflation indexed store of value -- basket of items representative for me.
4) Rapid transactions
Can we do it?
#BTC failed to be currency, open-Ponzi speculative game. A currency must earn interest: currencies weren't born from govt design but from commercial credit. A deflationary currency blocks borrowing. #BTC is just an open Ponzi scheme: money made by someone is taken from someone else.
Stephen Diehl explains it better: Because on top of the zero-sum mechanics, if it siphons wealth off to insiders then the pool to pay out returns shrinks. What @nntaleb said is right, it's economically equivalent to an open Ponzi scheme.
> In some ways, AirPods Max feel quite a bit like a premium Aeron-style modern desk chair — the mesh canopy atop the headband, the telescoping steel stems, the general sturdiness.
In some ways, possibly.
Here's what's nice about Aeron chairs: they last essentially forever. I got a second hand one for cheap. It's easily a decade old, possibly more, judging by the armrest mechanism (which had a redesign, mine is old). Using it every day for two years, on top of what it already had. Still looks brand spanking new.
In case something breaks, I can easily replace any component. There is a healthy replacement parts market. In fact, the person that sold it to me was essentially living off "flipping" Aerons - they would get them wholesale from companies, and then refurbish them.
If you are buying them new, they are covered by a 12 YEAR WARRANTY. Parts and labor.
The AirPods price would be totally justified if they were even remotely like this. Make the battery user-replaceable (even better if they are swappable, for more run-time) and provide user-replaceable parts, plus a healthy warranty, and this could be potentially the Aeron of the headset world.
It isn't, though. The battery is the most egregious issue. Sure, we can understand why Airpods don't have replaceable batteries. Not that it's impossible, but at least it's understandable - they are tiny. It's also possible to understand why Macbook batteries are not easily replaceable - they occupy most of the internal space and are rather fragile.
ResolverOne was an amazing product. It is too bad it never gained much support. Microsoft’s support of IronPython was half-hearted and it never realized its full potential.
I don’t get excited for anything Microsoft does these days. MS simply caters to the lowest common denominator client and just doesn’t get its power users.
There was a great post here on HN showing someone using DKIM to validate authenticity of some of the emails (ones from gmail at least), so it’s clearly not completely bullshit.
For what it’s worth, Greenwald and Taibbi both covered it and didn’t say “this is why joe Biden shouldn’t be elected”, they covered it as “why is the media refusing to cover a story that is worth covering”. Big difference.
I have no idea how 'Machine Learning' from Ng is not mentioned.
It's fine in teaching you introductory (although it seems to cover more basics than a lot of other courses do, somehow) ML. But more importantly, it's a well designed course. You can see how each piece uses previous pieces and how it solves problems and edge cases not covered earlier.
If this is true, real-world approaches might be a better strategy than they historically have been.
There's a poll that indicated most young women want to be approached more: https://datepsychology.com/risk-aversion-and-dating/