But it might be another of those the perfect is the enemy of the good type situations.
536 karma · joined February 4, 2017
But it might be another of those the perfect is the enemy of the good type situations.
The examples cited in the article are mostly websites. And I think (given the title of the article) he would describe himself as a tech investor.
In any case, what investors say isn’t as important as what they do. In my experience they often say they are interested in Biotech, Science based startups, or hardware. The reality is they rarely invest, and when they do, they invest in very conversative plays (aside from the occasional misguided Theranos type play).
The reality is in general tech to then means “some kind of website where I understand the engagement metrics” most of the time.
It would rarely (in my experience) even encompass hardware. Certainly nothing requiring novel basic technology (science based startups).
I don’t know why terminology is used like this. Essentially it’s like saying mail order catalogs are technology companies because they take advantage of advances in printing, telecommunications etc.
I guess it’s because the process of building websites is still messy, and somewhat easy to get wrong.
Some people act like the social dynamic where men are sexually agressive is solely the responsibility of men.
Most surveys I’ve seen suggest that the majority of women expect men to make the first move (always). This leads to an environment where men are to a degree trained to be sexually agressive.
This doesn’t excuse male behavior. But the road to a more balanced society likely requires changes on both sides.
It’s interesting to note how we got here, and how we remain here. Academics mostly universally complain about the current state of affairs, with reason.
However, we’re here because academics gave up control. Because the journal system, which was originally run by academic volunteers was seen as a hassle and has given over to businesses to run. Slowly, the businesses became to extract more and more profit...
The solution is probably to return to a less profit driven publishing model. But current publishers and academics pretty well locked in.
The original blog:
https://research.googleblog.com/2016/09/a-neural-network-for...
Is better suggests deep learning resulted in maybe 10% improvement. Isn’t as good as human in all cases.
Better translation of European languages (which wasn’t a totally unsolved problem anyway) doesn’t seem to be something that really lives up to the hype.
Particularly as the article cited doesn’t seem to back up its statements very well.
So... anything else?
I really don’t see this as a huge win for deep learning, anything else?
It’s shocking to me how much technical people buy into this, how “this time it’s different” and AI isn’t “over-promising and substantially under-delivering” this time. Really odd to watch it come round again, when the reality is we’re more likely to see some near incremental progresses, partly fueled by more compute and algorithmic advances. Partly by a lot of PR.
I’ve not had any of the issues you’ve mentioned (maybe about 3 spam emails).
Setting up the company is then easy. To set up a full bank account you need to go to Estonia. You can setup a transferwise account which gives you a banking facility however.
There are other countries where you can setup companies quicker, or with better tax implications. But I don’t think there’s a good option in the EU.
If I were you, I’d get the e-residency card now and have it available if you want to quickly start a company later.
Bring up kids is hard, what those “mothers” are doing is hard, physically exhausting work which often takes 18 hours a day. You know nothing of their personal circumstances but decide to judge them anyway. For me, it’s amazing that many full time care givers can hold it together as well as they do.
Why exactly I don’t know, but they also make up their own imaginary characters sometimes.
In any case, they don’t simply have this stuff forced upon them (in general).
It sucks, but the reality (to me) is that you deal with the situations as they appear. Hardest part is managing your own exhaustion after little sleep, look after kids for hours a day for years, and trying to hold down a job at the same time.
In this community I’ve literary heard someone say “Machine learning is very important for the future of humanity, so I can’t spend time looking after my child”.
For me it’s all about investing time, and the long game. Looking after, being patent and educating a child for a couple of hours isn’t too hard. Doing that for 10s of hours every day, particularly with young children, is much harder.
It’s even harder when that work is systematically devalued.
It sounds a bit like MAAS [1], which allows you to throw images onto, and manage real servers easily, very much like you might spin up VMs on AWS.
[1] https://maas.io
The Tokyo meetup was more of a mixer last time I attended. Personally didn’t enjoy it as much.
How would you support the claim that people in the “HN demographic” voted in significant numbers for leave?
It also suggests that leave voter see multiculturalism, feminism, the Green movement, globalisation and immigration as negatives (80%). Overall I see this as supporting the notion that the leave vote was anti-immigration, perhaps as part of a wider distrust of outside influences.
That is reasonably obvious, and not useful basis for a discussion on Brexit.
If you want to gain a better understanding of why people in general voted for Brexit, data would be valuable. Everything else is anicdotal, and not very useful.
Your anecdotal evidence is not very useful in a reasonable discussion, and it might be more interesting to have a data based discussion (if you have some data).
http://www.independent.co.uk/news/uk/home-news/brexit-latest...
But perhaps you have other data that supports your case?