It was interesting to think of a drag and drop editor as a visual programming language, but i suppose that makes sense. Given this view I wonder how powerful other no code tools are? Are some of them Turing machines?
"So, it's not about selling data, it's about usefully linking together different devices to make your home actually smart." - herein lies the difficulty, are they going to check how all third party services use the data?
It seems to me like pschedelics are being seen as a new sort of panacea. While they were probably disregarded for too long, do we have long term studies of their efficacy. The phase 3 trials I see only last for a few months.
"Such silicon-rich anodes, which can squeeze more range from batteries" - Is the primary driver of the increased range, the anode? Why does it make such a big difference
I'd hazard a guess that the sanbusak and samosa are not that related to the dumpling, but that nepals momo's are. But hey could be wrong here the mongols did reach the middle east so its possible
"For Teslas built since mid-2017, “every time you drive, it records the whole track of where you drive, the GPS coordinates and certain other metrics for every mile driven" - wonder how long it is before this data starts getting used in court proceedings.
"A golden torrent of British capital flowed abroad from 1870 to 1914, annually averaging about a third of the nation’s investment" - Sounds incredibly large, has this level of overseas investment happened again since?
Interesting how the students were able to find that davinci's aerial screws could work when built with modern materials. I wonder how many of his other designs could be brought to life this way
After reading this article, I was wondering if a similar approach could be used on cars? Could the braking energy be used in a similar way? What about for trucks?
I visited an architectural firm many years ago, where they had started to show prospective customers prototypes of designs via an xbox. The customers could walk around, go inside the building and the experience helped them win deals. Always wondered why more firms didn't try something like that. Its great to see more sdks making things like that easier
A lot of the conversation here is based on anecdata (interactions with uber drivers or cabs) or people projecting what its like to be a driver on uber and they are unwittingly being exploited.
I worked at a company that provided products to uber, lyft and doordash drivers, and personally interviewed well over 200 drivers, (along with having access to detailed data on a much larger dataset). The vast majority of drivers we talked to did not feel like they were being 'exploited' and generally liked the flexibility of the gig economy. Most workers were part time, working to supplement income from other jobs or in between other gigs, in fact when i was there, most drivers worked less than 6 months before stopping. I would say these people have a much better sense of whether they are being exploited than people who are not in their shoes.
There was a small but important minority (we called them 'professionals') for whom driving had become their full time profession (most were not cab drivers before) who were perpetually annoyed by uber and their main gripes tended to be the changing promotions systems, and algorithmic changes that reduced/limited profitable rides (like airport pickups) and just general loss of control.
I think this is where government regulation and laws could play a role in making these types of companies better, but its difficult because it involves scrutinizing individual product decisions that are often different in different geographies and markets.
Here are some examples:
Many uber drivers felt they qualified for a promotion, but were denied and had no recourse, thats a problem.
Sometimes a bad faith customer would report a driver for unsafe driver because the driver refused some unreasonable request. The driver would be suspended and not be able to get back on the platform for a long time.
Things like limiting certain profitable rides, or not allowing drivers to refuse uber pool (back when it was thing) should be scrutinized as well
A lot of the conversation here is based on anecdata (interactions with uber drivers or cabs) or people projecting what its like to be a driver on uber and they are unwittingly being exploited.
I worked at a company that provided products to uber, lyft and doordash drivers, and personally interviewed well over 200 drivers, (along with having access to detailed data on a much larger dataset). The vast majority of drivers we talked to did not feel like they were being 'exploited' and generally liked the flexibility of the gig economy. Most workers were part time, working to supplement income from other jobs or in between other gigs, in fact when i was there, most drivers worked less than 6 months before stopping. I would say these people have a much better sense of whether they are being exploited than people who are not in their shoes.
There was a small but important minority (we called them 'professionals') for whom driving had become their full time profession (most were not cab drivers before) who were perpetually annoyed by uber and their main gripes tended to be the changing promotions systems, and algorithmic changes that reduced/limited profitable rides (like airport pickups) and just general loss of control.