Below are their least profitable routes, according to AI. Be interesting to see if that is what they shutdown first. Alternatively, it may be a matter of placing the planes in the least expensive hangers while they wit out the strike.
Key least profitable or discontinued routes include:
Toronto-(YYZ) to Vancouver (YVR)
Montreal to Detroit (DTW), Minneapolis (MSP)
Toronto to Indianapolis (IND)
Vancouver to Nashville (BNA), Tampa (TPA)
Several Western Canada routes from Calgary to smaller cities
It might be informative to compare this with what happened when retailers introduced automated checkout machines. It seems that the net effect on staff sizes was not that dramatic. These stores need more anti-theft security people and some oversight. Not to mention the people they need for technical support. I wonder if there will develop a new category of skills for checking that AI produced code is correct, effective and optimal?
They also need more people to restock abandoned carts because I'm not going to wait for two other people who got stuck in their automated checkout lines to get help from the one ineffective person who is stuck with the job of making this stupidity work.
This site is the kind of malicious clickbaiter that publishes articles with titles like "The toothpaste ingredient that’s messing with your memory"; you can't expect them to have any concern for correctness or verifiability.
Yeah, I get that pop-sci writers don't want to scare off their audiences with hard science, but at least a callout with a couple of cited sources would help add a lot of credibility.
Bill showed up at one of the WWDCs (2011?). I sat next to him during a lunch, not knowing who he was! He told me his name, and then showed me some photos he had taken. He seemed to me to be a gentle and kind soul. So sad to read this news.
Steve Jobs was one of the inventors listed on this patent. As it happens, I and another Apple colleague filed an almost identical patent at around the same time. So, for a while, Apple owned two patents for simulating a rotary dial on a touch wheel. (My patent was eventually allowed to lapse. Steve's has been renewed).
I have to say that I had had a bit too much to drink at a dinner in SF when I suggested this idea to my colleague. I was thinking of the old pinball game that had really good physics making it feel amazingly real. I thought that the crucial part was doing the dialing physics in such a way that users could quickly dial any digit with the right gesture.
I was not disclosed on the iPhone when I came up with this idea, but my colleague sent the idea off to the patent committee and they agreed to it! They must have laughed when they saw the similarities to Steve's patent (which was still in progress too). We did have some big differences with Steve's, so it wasn't a duplicate. That being said, I think they wanted to boost the number of patents related to the iPhone as part of the initial marketing. (Steve said that there were already "over 200 patents" for it when he introduced it.)
I love this so much. Both for the fact that people inside Apple had this idea, and for the fact that I may have also been more than one beer into the evening when I floated the idea as well!
This is mostly what I worked on for many years at Apple with reasonable success. The main secret was to accept that everything was geometry, and use cluster analysis to try to distinguish between word gaps and letter gaps. On many PDF documents, it works really well, but there are so many different kinds of PDF documents that there are always cases were the results are not that great. If I were to do it today, I would stick with geometry, avoid OCR completely, but use machine learning. One big advantage for machine learning is that I could use existing tools to generate PDFs from known text, so that the training phase could be completly automatic.
(Here is Bertrand Serlet announcing the feature at WWDC in 2009: https://youtu.be/FTfChHwGFf0?si=wNCfI9wZj1aj9rY7&t=308)
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