This sound like a take from some one who never tried vr games or used a vr headset… Once you use even current quest 2/3 you will quickly realize the possibilities and advantages vr can have…the issue is the tech is still not quiet there yet for average consumer (and it was not even close for last 20 years for sure)…we need better compact graphics processing units, and denser screens with better optics designs…these will all happen in time. Assuming we don’t die from global warming or ww3. Once the hurdle of high cost/low dpi/relatively limited processing power of now is overcome, vr/ar will be defacto standard for PC gaming and work, as using fixed screens will be inefficient/more expensive. I would use my quest pro for work if it had 40% higher dpi/clarity and I cn easily see the tech getting there in 2-3 years time. Mobile GPU power will take a decade to run games with graphics of today ( I am referring to stand alone headsets, as pcvr is to cumbersome for casual gaming, this will improve with better software and wifi development but wifi 6 is bearly good enough today, so we likely see wifi7 come along and usher in dedicated headsets with console coupling (e.g. wireless VR headset + PlayStation ) (better mobile processors for faster decoding will help a ton as well). Vr/Ar will continue to grow and once it gets critical mass will explode as we are seeing with electric cars.

In academia it’s common to use word and that means if we are writing papers all the PIs are using it…google docs is better for collab…but would prefer open source solution. Issue is none of the open source word type software play well with Microsoft word…for obvious reasons… (the moment u got figures and formatting it all goes to shit…i mean even word struggles to keep word documents correctly formated between versions of it self) fml.

Microsoft office… Only thing keeping me on windows…and vr games…

I mean what do ppl expect, it looks like it has normal road tires and weighs probably at 5 k pound… Any truck with that weight/tire setup would struggle…not defending tesla but the expectations are quiet off…

It is…

It’s not really a sensor issue, as much as having software that can interpret the sensor data and act on it. Cameras and lidar effectively provide same thing, distance to objects in 2d/3d. But u need software to process that data and identify where the road is, where little jonny is, and what to do…arguably, the distance measuring problem has been solved for a while with lidar or with cameras, it’s object identification and reaction to that info that’s not solved. You can’t really solve it with traditional if/else programming, while AI gives you only a probability of what something is or what action to do…so the problem is hard.

But ntsb/dmv whatever needs to come up with a way to test and classify autonomous driving software…probably doing real world test and identifying edge cases where it fails.

This seems to be a key point ppl miss. There is still quiet a big question if cdr and storage can be net negative…for example one place we want to store co2 is in saline basins, but this will require disposal and treatment of the brines removed from the basin…which might emit might end up emmiting as much co2 as ends up being stored in the saline basin. There is a paper on this issue…

CO2 to syngas to hydrocarbon fuels is probably a better carbon zero process, considering we will need to do a ton of cdr anyway…although doubt energetics and economics would be great. Hydrogen, just like biofuels today are anything but carbon neutral, and efficient electrolysis might never happen. Hydrogen production will also face water shortage issues and in general electrolysis requires pretty low tds water which is not trivial to source…not sure what’s best way to get carbon zero airplanes honestly…

Best tool for assembling and making journal quality figures. Excited for performance improvements, hopefully it will help when with complex svgs with ton of objects.