It solves the biggest problem that I had with AMZL, which is when the courier claims they delivered a package when they didn't. What happens is that the same day couriers will get overloaded and be unable to finish their routes by the 9PM delivery deadline, so they'll just drive by and mark delivered (I think it's a GPS thing) and then drop it off in the morning. Some times they never deliver it at all. The picture eliminates this bullshit, as they must show the package on my doorstep.
I haven't had this problem since AMZL started taking pictures, but I also haven't tried Same Day delivery as much. I'll have to give it another shot to see what happens.
To take your comment a little deeper despite me knowing you are being facetious, I think that's exactly it: the algorithms cannot communicate to facilitate these types of advantages. They cannot, in essence, be human.
In a world ran and dominated by humans, there will always be an inherent advantage to being part of the race that creates the game. If algorithms perfect a system in such a way that there stands no gain to be made by those at the top, people will simply create a new game to play.
until they can. And at that point it gets really weird. I have heard reports (but cannot confirm them obviously) that machine learning techniques are already creating trading strategies that exploit weaknesses in other trading system algorithms. At what point does the algorithm correlate what it can see in email inboxes on a connected cloud service with advantageous stock trades ...
> I have heard reports (but cannot confirm them obviously) that machine learning techniques are already creating trading strategies that exploit weaknesses in other trading system algorithms.
This is true, but does not require machine learning.
> I have heard reports (but cannot confirm them obviously) that machine learning techniques are already creating trading strategies that exploit weaknesses in other trading system algorithms.
That was being done in HFT long before ML came about. In fact, it's supposed to be the primary source of profit.
Is money being made? Seems to me that all trading does is just redistribute existing money, and no wealth is created.
What a waste to have all these computational resources engaging in a continual 'series of countermeasure/measure battles' instead of calculating something useful.
Trading results in price discovery. Accurate prices allow more informed investment decisions and the development of more real wealth. The alternative is something like a centrally planned economy which have generally been unsuccessful.
It may seem pointless, but trading like this is actually incredibly useful. It (mostly) removes emotion from the equation, thus lowering the chances of market shocks and decreasing volatility.
I wasn't being facetious -- I meant exactly what you said. Two humans having coffee and trading secrets "they heard around town" will beat an algo any day of the week.
This is awesome, and something I was doing as well for fun! Go's image package has some pretty nice primitives. One thing I think would make this even simpler is you could simply sequence the individual sprites using image.NewRGBA and simply setting the Pix slice to the values to draw the appropriate images, then you can avoid going to the os at all!
Yep. I primarily use Go, so you are often forced down this way because it uses a simpler regex engine. I used to complain but in hindsight I realized it was a blessing in disguise. Particularly in Go's case, it has excellent character set library support, especially unicode, so those really tricky corner cases with unicode characters are non-existent now as well. I will be happy if I never see a regex with a unicode range again.
Within my own self, I have a dichotomy. When I am on the piano and reading from sheet music, I feel "classical." I am a bit more deliberate and I stumble a few times. When I am on my guitar, I mostly play by ear and feel. I throw on a backing track and just improvise the entire time. Anything accidental slips I have get incorporated into what I am playing.
I have tried to reverse the two (play classical guitar, and improve piano) and I simply cannot, or I look like an absolute beginner.
Follow up, can you define much here? I am just interested in this, I read this paper as a primer to my own question, and it seems that with proper city and road planning combined with the effect trees have locally on the air quality it seems we could have noticeable improvement, especially during the leafy seasons.
Trees can help with carbon, but we are talking about small particles here. I guess they could trap them or something, but not on the scale of a typical polluted day in say Beijing. Anyways, in northern china, this wouldn’t be very workable as the pollution season corresponds to leafless tree season (and the trees turn a dreary brownish grey due to dust).
Correct my understanding here where I am wrong - In my mind, if a leaf of a tree or any vegetation photosynthesizes, it is pulling in air (dirty air by your account which is why those leaves are brown) By the very virtue of that fact, it would be pulling in those small particles as well. The paper I referenced states that this happens to an extent, which is why trees during the leafy season are more effective at reducing PM2.5 than when they are bare.
You are probably right, but a better solution would be to create breeze ways that would allow wind to blow out the pollution more easily. These could be coupled with forests, of course. These cities have plenty of trees, but they aren’t newrly enough and anyways winter is the worst season.
May I suggest a crazy idea? Ditch it and just see what happens.
We are a large organization, and had an end of year crunch so naturally when you need to pinch the absolute most productivity out of your workers, typically process is the first thing that goes.
We just had our most productive 2 week sprint in over a year, by a mile. Instead of Jira, we busted out the dusty whiteboard, and used this amazing technology called an expo marker to write down what we were working on and who was working on what. It had amazing visibility too -- our manager could stop by at any time and see with his own eyes what we were working on -- all without having to log in! The best part? We got to ditch the meeting to plan the planning, the planning to plan the week, and the retro to go over the week to start of the next week's meeting to plan the planning. We got back like two entire days, and we didn't have any 9:00 AM context switches when most of us were in the zone already having to give a benign update that could have just been communicated via slack!
Some of this is sarcasm and I do understand why managers and leaders reach for Jira, but seriously: Why did we stop using the whiteboard. If you need visibility into this crap, hire someone to do that. You have analysts for your business, why not have an analyst for your tech? It doesn't make us more productive.
Because whiteboards aren't visible outside the rooms they're in, and they don't save histories of what was written on them in the past. If your org is scaling beyond a single geographical location, then you need some kind of system to communicate status to stakeholders elsewhere. Email and Slack are nowhere good enough for that; a ticketing system is absolutely vital.
The number of photos of whiteboards I've taken over the years beg to differ. Point 3 is certainly valid. Whiteboards definitely don't work for remote teams.
This is the norm in more industries than you would expect. A primary example is food service. You have a main job function, but you do whatever is required of you. Dishwasher busted in the middle of the shift? Grab a bus boy and have him help out washing by hand. Late night surge because some concert let out that you didn't know about or plan for and they all decided your food sounded good? Well sometimes the manager rolls up their sleeves and hops behind the line to help cook. Not enough hostesses? Waiters are stepping in to help greet and seat customers.
