While I understand the intent behind your comment, the only thing that would achieve is to allow people to reverse engineer and discover more vulnerabilities
They have shut down the listening part a long time ago by providing absolutely no way for people to get in touch with humans about problems faced by customers.
Other systems can be put in place, that generate the video and the text.
The main takeaway is the realism of the news anchor through their implementation of the speech and lip moment synchronization - and how it may be a stepping stone towards a world where news delivery can be automated.
What if you have a bad day and end up performing miserably in this test? Even if you're really good, this one hour can hijack 60 separate chances that you have to prove yourself. This will definitely increase the pressure on the people getting evaluated.
What about the fairness of this evaluation? Over a period of time, questions may be published in the public domain and then the scores of candidates are rendered meaningless. How do you assess whether the person truly solved a problem or merely recalled a solution they had read before?
Over a period of time, the score will be given too much weightage and we will not be able to get a wholistic picture of the candidate.
Ultimately, this is going to end up to be as damaging as automatic resume scanners. Used as a tool to filter good candidates but mainly to reduce the workload of hiring candidates.
People find a way to work around these scanners by dumping keywords even if they are not very familiar with certain skills. Similarly, people will find a way to game the new system as well.
Whiteboarding sessions, despite being more time consuming, seems to be more effective at what it has been designed to gauge.
DotA is substantially different compared to Go in the following main senses:
1) In Go, you are allowed to see the entire board and pieces at all times -- it is a complete information game. On the other hand, games like DotA have partial information because you are not able to see where your opponents are and what they are doing at all times.
2) Go, Chess and many of the Atari games are single player games. OpenAI wanted to see if machine learning can be applied in a multiplayer setting where the problem needs to be solved at a global / team level.
3) DotA has so many mechanics and strategies where you have a lot of choices to be made. One of the challenges is whether one can look at the overall outcome of the game and reason about what particular choices went into the winning or losing of the game. This (long event horizon) makes it extremely difficult to learn such models.
OpenAI interfaced with a complicated game like DotA through an API provided by Valve which made it lot easier. Instead of seeing the game screen, they got snapshots of data of around 35KB per observation (co-ordinates of heroes, creeps etc). In the absence of this API, they would have had to use substantially more computational resources to render the in game graphics and this would also make the training process extremely slow.
This benchmark was an experiment that demonstrated that tackling such a class of problems is indeed possible (given a lot of computational resources and an environment to train in). During the interviews in between and after the games, they mentioned that the algorithms that they have used can have many applications in all fields a̶l̶t̶h̶o̶u̶g̶h̶ ̶s̶p̶e̶c̶i̶f̶i̶c̶ ̶e̶x̶a̶m̶p̶l̶e̶s̶ ̶w̶e̶r̶e̶ ̶n̶o̶t̶ ̶p̶r̶o̶v̶i̶d̶e̶d̶ @crsv's comment describes the example they talked about.
In the context of large files, do you think you would like to extend it to a multi-threaded variant to fully exploit additional cores or will the overhead due to threading and memory bottlenecks not provide any advantage?
I've used the "Sleep as Android" app mentioned in the link which I had started using sometime last year. This app monitors your sleep and tries to ring the alarm between the actual alarm time and half an hour before it based on when you will feel most rested.
This changed me from a 5-6 alarm with multiple snooze person to a single alarm no snooze person, regardless of how much or little I've slept the previous day. There are days when I wake up before the alarm as well.
Do take a look and see if this helps!
Edit: Read the article after commenting. The same app has been suggested and explained in the article.
Try out / read about biphasic sleep schedule. It relies on the fact that not all stages of sleep are equally resting to our bodies. And by taking multiple naps, you are likely to increase the duration of the "better" stages of your sleep. This allows you to be equally / more rested using lesser number of hours.
Note: This may not be good for you if you are NOT able to maintain the schedule so do keep that in mind!
What if the people who slept less happened to be from the working class who lead a more active life? And the ones who slept 8-9 were those of an older age group who might not be taking care of their lifestyle.
Perhaps you might not be looking at other factors.
Why were you sleep deprived? Were you involved in other tasks that kept your mood up thus fostering creativity? Was it actually that the task at hand was so enjoyable that you had already been putting extra time to get it done? Did you have deadlines?
I've noticed that you're creative when you end up putting more time and thought to any activity. You can fool yourself thinking that you are not getting ideas after sitting down for just 5 minutes to do a task. But if you are deliberate in your efforts (possibly due to the kind of work or imminent deadlines), then ideas will come to your mind.
Won't asking people to wear these sensors, and the subconscious feeling that you are being tracked automatically cause you to not interact as much?
Are the conclusions really as reliable as they claim it to be?
I do agree that there are a lot of people whose productivity takes a hit because of increased distractions and they would prefer to ensure that whatever time they do get is used well (and not spent in going to talk to others). But I feel that the study seems to push their conclusion onto you without highlighting other factors that could lead to the same observations.