As part of a large research organization, I was involved in multiple studies about increased traffic fatalities. This work began in 2020, and was part of a larger epidemiological effort. Our findings contradict the headline, but are in agreement with the body of text. The most significant causal factor we found was the rise of mobile device ownership and usage. In fact, mobile device usage is the reason for the inflection of year over year decrease in traffic fatalities in 2012.
The article states that 10% of the fatality increase can be attributed to vehicle size. This is far below the actual increase, and while a contributing factor, not the primary one.
Usefulness is here, and has been for a while time. I have been consistent in my stance that AGI will be achieved in the demonstration of iterative, stable self improvement. This can be demonstrated in knowledge creation or skill acquisition.
More automation may lead to more freedom in open ended exploration, stemming the dramatic decline that has happened in exploration. That would be a fantastic result.
And there is a distinct decline in open ended, personal exploration in academics. There are many reasons for this, but the syndrome is widespread throughout the West and throughout scientific disciplines. The first response to someone interested in recreating a published result or simply asking "What if?" is always "Who will pay for that?" Or more discretely, "Will it lead to a grant." Regardless if the cost is $100 in reagents and 8 hours of bench time in an idle lab, or $200 to machine a new reaction chamber the focus from administration is not enabling exploration but standing in line with your hand out.
To add to the collection of anecdata, your experience is similar to mine. I have been more exhausted recently by the complaints of AI submissions and pseudo analysis of AI comments than exhausted by the supposed AI generated comments themselves.
A good reason to allow it is because people want to do it and it is as relatively harmful as many other normative human behaviors.. A better reason is that it provides a means of measure real attitudes and opinions. The revealed prices afforded by prediction markets is interesting at the least, and possibly the best source of information for many of topics.
This is how I learned to code as a young age. I typed in every single program they had. The most challenging was the hex-based music machine they printed, which was difficult as someone who both couldn't type and didn't understand the mechanics of what I was typing.
My opinion is that we have little to no interest in what animals, plants, or even other people are thinking. The vast majority of it would be considered crude and offensive at best.
In at least one case it wasn’t released by management because it was absurdly embarrassing. Productivity compared between 2019 and 2023 had statistics similar to the following; average yearly CLs decreased from approximately 70 to under 10, significant revisions pushed in comparable products changed from 26 to 4, meeting time increased by a multiple, email volume decreased similarity. All this with significant increases in seniority and pay among the average employee. Contrapositive scenarios argue that there is a huge opportunity cost to the tech efforts from WFH.
Another data point that should point out the obvious, is this coincides with the unexpected rise in traffic fatalities in 2012-2013. It is the societal effect of smart phones.
The article states that 10% of the fatality increase can be attributed to vehicle size. This is far below the actual increase, and while a contributing factor, not the primary one.