pheug

9 ms·

61.
by pheug 7y ago
What do you mean low margin? They're making 45% gross / 30% net, that's pretty respectable I would think.
62.
by pheug 7y ago
Most of them just rent servers / VPS boxes, so ultimately your security depends also on whoever operates the servers themselves. NordVPN got recently powned through remote management software vulnerabilities in one of the datacenters t
63.
by pheug 7y ago
> Is it the log & clickthrough data? It's a huge advantage and critical ingredient for ranking in all major websearch engines as far as I know. Google gets billions of queries and clicks every day. Your startup? Pretty much none
64.
by pheug 7y ago
Why exactly should he have known this, especially as an SWE? Google is a gigantic 110k+ people company by now. It's totally possibly to spend years head deep in code specializing on some obscure parts of codebase with near zero underst
65.
by pheug 7y ago
I don't recommend ProtonVPN - tried it and if you're torrenting they throttle you to 20Mbps. Shady past connection to NordVPN / Tesonet also a concern.
66.
by pheug 7y ago
Fastmail makes it very easy (unlike many others) to send emails from any *@yourdomain.com email as a sender. But if you only need to receive email, then almost any paid email service I know supports such catch-all addresses, even gmail&#x2F
67.
by pheug 7y ago
Protonmail probably the most hyped, but personally I switched to Tutanota. I like their commitment to open source - you can build their webmail client yourself. They support full text search (unlike Protonmail) and also 4-5x cheaper than Pr
68.
by pheug 7y ago
On company issued hardware it's a fair assumption to make that they log everything you do and MITM your HTTPS requests.
69.
by pheug 7y ago
The greed as well? Normal jobs aren't paying anything close to 200-300k+ that you'd be pulling at FAANG/HFT.
70.
by pheug 7y ago
On a shared memory system there's little need to do that - there's much more parallelism to be had from accelerating fine grained operations, like matrix multiplications to compute each layer's output. On a distributed system
71.
by pheug 7y ago
Actually it parallelizes extremely well, so that large companies are able to create monster models like mentioned in the article in the first place by just throwing money at the problem with TPUs and similar highly parallelized accelerators
72.
by pheug 7y ago
It seems to be working as designed: "experiences that were clicked but not booked (which we treated as negative labels)"
73.
by pheug 7y ago
You seem to be talking about dimensionality reduction, that's not what I was meant. Distillation is training a different model with a cheaper architecture (CNN, LSTM) on the outputs of an expensive teacher model like BERT. This has not
74.
by pheug 7y ago
Distillation is usually used today to tame its resource problems at scale - you run BERT to squeeze out maximum signal from your training data and then distill the model e.g. into cheap CNN for inference.
75.
by pheug 7y ago
Monthly can actually make perfect sense for this kind of service as a signal that the user's still alive. But yeah, $6/month is way too high.
76.
by pheug 7y ago
Don't know about upper management, that's a whole different game at these giant companies. But low and middle managers get hired all the time without a personal connection, especially if coming from a different FAANG. Industry exp
77.
by pheug 7y ago
What you describe mostly applies to smaller companies or niche domains. FAANG hiring is much more formalized and your connections hardly matter beyond getting invited for an interview.