That may be true, but if you look at the distribution it puts out for this, it definitely smells funny. It looks like a very steep normal distribution, centered at 0 (ish). Seems like it should have two peaks? But maybe those are just getting compressed into one because of resolution of buckets?
Those are not the right population metrics to compare. If you're talking full Bay Area, you might as well talk NYC metro area (MTA claims to serve 15.3 million [1]). Tokyo's even trickier, but I think 36 million [2] seems closer to right.
It's probably not worth arguing about too much, because ultimately I agree with you that there's a lot more to be done to reduce car ridership. But pointing at those places and saying "copy them" misses a lot of structural differences.
Why so negative? Given that the served population is conservatively a quarter of either of those areas, doesn't seem like a fair comparison.
More to the point, I've been favorably impressed with the transit options since moving here, and in terms of reliability it's been better than NYC, though obviously there are fewer trains/branches.
I'd love to see BART open later, like NYC, but even Tokyo trains stop at midnight.
> I believe this sort of core knowledge is learnable through movement and interaction data in a simulated world and it will not present a very difficult barrier to cross.
Maybe! I suppose time will tell. That said, spatial intelligence (connection/movement included) is the whole game in this evaluation set. I think it's revealing that they can't handle these particular examples, and problematic for claims of AGI.
Personally, I think it's fair to call them "very easy". If a person I otherwise thought was intelligent was unable to solve these, I'd be quite surprised.
Senior software engineer with experience all over the stack; special interest in sustainable technology/maps/making web applications that are fun to use, but most of all interested in working for you, reader. Currently seeking freelance opportunities, or the right full-time job.
Senior software engineer with experience all over the stack; special interest in sustainable technology/maps/making web applications that are fun to use, but most of all interested in working for *you*, reader. Currently seeking freelance opportunities, or the right full-time job.
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I do a lot of double/triple clicking to highlight text as I read online (fidgeting, but also helps keep track of where I am). On your site, triple clicking unintentionally hits the twitter share button, which opens a new, unwanted window. Bit annoying.
Medium does something similar, but they offset the button so you have to move cursor in between clicks to actually trigger the button.
OP didn't say it wasn't more portable--just that it being more portable doesn't always mean it's better. Sounds like for your use case, portability is very important and trumps the benefits of an IDE. That might not be true for someone who doesn't, say, run multiple computers.
Would be interested in hearing what heroku users are using for automated failover when heroku goes down.
Obviously can't live in the application code (b/c that's unreachable at that point), but is there an easy way to configure Cloudflare or something to switch to a static site hosted somewhere else?
Gitlab is great! Most major downside from my perspective is that the diffing functionality is much worse than Github's. Super slow + resource intensive.
Ok...but the point is that after they achieve the monopoly they can jack up the price to well over a thousand dollars without worrying about losing market share.