arcanus

74 ms·

781.
by arcanus 10y ago
I found it interesting (and surprising!) that Bill Gross endorses a UBI in this essay.
782.
by arcanus 10y ago
And in reality, the operation of an aircraft is not the principle point of failure. Rather, mechanical failures, weather, sabotage, etc. are much more easily eliminated by rigorous inspection and heuristics with multiple failure points. The
783.
by arcanus 10y ago
That certainly jumped out, as well as the much higher female drop out rates. Shameful! Edit: To be clear, I put the vast majority of the blame on the advisor, not the student. I would not have made it without the remarkable support provided
784.
by arcanus 10y ago
While 2008 is somewhat old data, a cumulative 10 year phd completion rate of 57% sounds about what I would expect. That implies a cumulative attrition rate of 43%, which puts it within striking distance of say, the 75-80% attrition rate a
785.
by arcanus 11y ago
> You absolutely do not need a PhD for industry unless you want an R&D job in a handful of domains. I know Phd.s at {MSFT, Google, Uber, Deepmind, GE, P+G} research divisions. I don't know anyone who works at those who does not
786.
by arcanus 11y ago
Substantial problems with a universal basic income (UBI) do exist, but I'm increasingly inclined to believe that given the substantial technological disruptions on the near term horizon (Machine Learning, Self-driving cars, improved r
787.
by arcanus 11y ago
In my field you could state that if it was not for the curse of dimensionality, we would use anything but MCMC.
788.
by arcanus 11y ago
> Being from Europe, I was also weirded out that almost all discussions of class in the US was about money. The subtle differences between the USA and Europe on this subject are quite interesting. Another one is that in the USA, being br
789.
by arcanus 11y ago
Austinite here. Analogous situation happening here, massive gentrification and home building, but still a sellers market.
790.
by arcanus 11y ago
I doubt it, given the average age of the ML team at FB.
791.
by arcanus 11y ago
'The rear-wheel drive cars will be able to go zero to 60 in less than 4 seconds. ' I don't believe that.
792.
by arcanus 11y ago
Surprised engineering is so low. In my field (computational fluid dynamics) it is quite common, certainly would expect it to be the majority. I've published 10+ papers, all in LaTeX. So I am admittedly quite biased.
793.
by arcanus 11y ago
All good points, and I think we are entering into philosophy around what we mean by 'confirmation'. I believe that models are certainly wrong. I personally doubt we have any models that actually reproduce the underlying mathematic
794.
by arcanus 11y ago
I wish it was that clear cut. This is a tricky business in the sciences. Often, the quantity you are trying to validate is unobservable. In this case, I suspect (I'm not a squishy scientist) it is because evolution has such long time s
795.
Software engineering: Of more than academic interest(economist.com)
3 points by arcanus 11y ago|0 comments
796.
A growing number of European students are opting to pay for their education(economist.com)
1 points by arcanus 11y ago|0 comments
797.
by arcanus 11y ago
Uber bought out several prominent researchers from CMU a few months ago, but are there any famous members at the Tesla team?
798.
by arcanus 11y ago
It's more than just statistics, broadly speaking that is the scientific process.
799.
by arcanus 11y ago
At least in the engineering fields, many of the papers require at least a discussion of the verification and validation of the codebase. So it is improving, if admittedly far too slowly.
800.
by arcanus 11y ago
I've very, very suspicious of this statement. Unsupervised learning is generally speaking not as advanced as supervised. While unsupervised learning might be the holy grail, this victory is really about deep learning, which is an advan
801.
by arcanus 11y ago
Think the title means to say 'starcraft'. Interesting how deepmind started with atari, moved to go, and is staying on mastering games.
802.
by arcanus 11y ago
>don't take a full time job in a technical org that is viewed as a cost center Completely agree. Just don't take a full time job in an org that is viewed as a cost center, period.
803.
by arcanus 11y ago
> plenty of machines learn from their mistakes and adapt to new settings Curious what you see as examples of this. > Intuition is so poorly defined that depending on what you mean machines easily have it (heuristics, Bayesian inferen
804.
Austin Police Department Warns SXSW Attendees Not to Use Uber(techcrunch.com)
2 points by arcanus 11y ago|0 comments
805.
by arcanus 11y ago
The article paints a false dichotomy between teaching calculus and statistics/heuristics/linear algebra. In reality, it is increasingly important to have exposure to all these fields.
806.
by arcanus 11y ago
hmm, what you are discussing above is typically called the formulation of the prior, not the calculation of it. And I agree that this formulation can be problematic. It is almost certainly the most contentious element in Bayesian inference.
807.
by arcanus 11y ago
> such as it's extremely hard to calculate priors. I think you mean it is difficult to formulate priors? Typically, calculating a prior only involves sampling from a distribution.
808.
Super-Intelligent Humans Are Coming(nautil.us)
1 points by arcanus 11y ago|0 comments
809.
by arcanus 11y ago
> Fuel is the biggest single cost driver in commercial aviation, and aircraft use more fuel per unit distance > the faster they go. This is why passenger jets are slower today than they were in 1965. True, but this is misleading: the
810.
by arcanus 11y ago
On the contrary, several of these points are not as simple as regulation, but are issues requiring fundamental research. NASA is about much more than space, and possesses cutting edge domain expertise in aerospace, which they are leveraging

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