My understanding is that this has less to do with the specific location the tomatoes are grown, and more to do with the distance from the point of consumption they are grown. If the tomatoes have to travel a long distance, they will be picked before ripe so that they are more hardy during transit. Unfortunately this significantly alters the taste for the worse. I don't really live in the U.S. anymore, but I used to pay extra for "tomatoes still on the vine" which would be a small step up. The best of course were those grown in your own garden.
FYI I believe all of those ~1TB $10-20 USB drives on amazon are scams- basically set up to trick your computer into showing a terabyte of disk space available, but not actually having that much available if you try to write it all. I was in the market for "largest reasonably priced usb drive" earlier this year and ended up with a 1 TB usb drive for about $80.
Plants are a temporary solution at best, as they decompose and catch fire which puts their carbon back in the atmosphere. We need to be sequestering CO2 into more permanent forms
This seems like a sort of unwinnable arms race. Can't the people who work on generative text models use this classifier as a feedback mechanism so that their output doesn't flag it? I'm not an AI expert, but I believe this is even the core mechanism behind Generative Adversarial Networks.
I love to follow this field because the engineers working on tokamaks/stellarators/other fusion devices are dealing with some truly extreme technical challenges. However, creating devices that economically overcome those challenges at scale seems unlikely when solar panels and batteries are aggressively decreasing in cost. How will these compete if scientists figure out the longevity problem for perovskite solar? Just my opinion as a layman. I still think the research is worthwhile because of possible future applications (space?)
> In tests, the man was able to achieve writing speeds of 90 characters per minute (about 18 words per minute), with approximately 94 percent accuracy (and up to 99 percent accuracy with autocorrect enabled).
I'd be interested in knowing how this metric changes over time as the user gains more experience with the BCI device. The article mentions that researchers recorded his neural activity while he was thinking about writing letters. Would the man eventually find that the system is more accurate or faster when he instead learns how to think "the thought that generates the letter A in my BCI device"? Fascinating stuff all around.