But there is a lot of enthusiasm.
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I am looking for employment in Sweden with relocation only.
Will do UNIX sysadmin's and DBA's tasks and/or code CL/Erlang/Haskell/Clojure/Scala/Python/Go for food.)
But there is a lot of enthusiasm.
The book is about ugliness and mediocrity of so called modern society with its rigid set of dogmas and set in stone prejudices. It is about suffering. About inability in principle to catch that fleeting beauty, a spark of perfection. The moment you approach it you have already ruined it. Observer ruins the observation, or rather realizes the painful dissonance between his assumptions and actuality, but continued his futile attempts to catch it, because everything else is not worth of even a second look.
Dear gentlewomen of the jury. Do not attempt to judge things you probably never even understood.
Existential depression, my ass! Gifted adults, and even children, would surely read things like Stepenwolf, On The Road, Cuckoos Nest, Nausea, Age Of Reason and the likes and cure themselves.
Depression is nothing but a set of acquired habits. Change in behavior, caused by traveling and excessive reading, will produce a different perspective upon so called reality and an altered set of habits which will change ones personality. For better or worse.
This kind of CBT goes back to the seers and sages of the East and the first great philosophers of the West somewhere about 600 B.C. It still works.
Is Leftpad included?
Classification (ontology) and labeling of a human language gives us meaningful type systems (Java has nothing to do with it). Logic gave us control structures and ultimately algorithms.
The philosophy of science and epistemology gave us the absolute necessity of tests and reality checks (otherwise one ends up with Hegelian abstract nonsense or what we call theoretical physics).
And metaphysics is just nonsense for weak minded to boost their self-esteem, which gave us "everything must be Object Oriented, statically typed, absurdly verbose" crap.
Simulations can tell nothing new about the true nature of reality, because any simulator would reflect the current assumptions up to date and will be based on an oversimplified model. Weather simulation is not a weather. Map is not a territory.
Frequency based approach is the right tool, but it could explain nothing about the partially observable phenomena, except partial statistics of the outcomes observed so far.
Attempts to derive any causal relationships from statistics of a partially observed phenomena which is not fully understood and well-defined is unscientific and is the source of so many misleading "studies" and overconfident decisions and policies.
The observations that the sun is raising each day on the east does not tell anything about whether or not and why it will raise there tomorrow. Only physics offer a causal explanation.
Logically, they should refer to the same entity. It is "natural" - when people are trying to communicate a concept to one another they assume they are referring to the same concept. Not to an instance of it.)
Assert is a statement, not an expression, so do not use it as an expression.
One should never compare floats. This is taught in any freshman CS course. The limitation is due to the standard encoding of floats - IEEE 754 - not Python's fault.
Everything else are features of a truly dynamic language, designed for a really quick prototyping. Python3.x got rid of many inconsistencies and caveats of 2.x
Shall we re-read the classic now?
Similarly, it seems, a higher level behavior is defined by physical structure of neurons, a highly-specialized circuitry evolved by the process of trial and error, which happen to be good-enough for its purpose. There is no algebra involved. It is a electo-mechanical massive-parallel machine.
Brain does not perform recursive algebraic simplifications (which is, probably, the most beautiful abstraction humans have produced - fixed points, Y-Combinator, etc), it performs structure-based pattern matching - "it looks like a duck".
Natural selection, it seems, would select a crudest, good-enough model, full of cues, short-cuts and heuristics learned from environment, instead of evolving a beautiful, universal recursive meta-circular evaluator, which MIT guys are worshiping (what else there is to worship, but a beauty?!)
And, of course, mutually recursive processes (physical processes which could be abstracted out and formalized that way) are everywhere in biology. It just happen that language is a pattern matching, not an algebra, like everything else in the brain. Algebras, like numbers, does not exist outside our heads.)
Apple is a digital content distribution company in the first place.
Every child will tell you that cars have eyes, and even a crow could track the direction of your gaze.
Well, I would also give away some govt. printed money to know how to make this kind of a jump from raw pixels to high-level shapes.)
The answer, by the way, is that the code (which is data) should be evolved too, not just weights of a model. This is an old fundamental idea from the glorious times of using Lisp as AI language - everything in the brain is a structure made out of conses^W neurons.
And feature extraction and heuristics should be "guided". In the process of evolution it is guided by way too many iterations of training and random selection of emerging features. Eventually a short-cut "creatures have eyes" will be found and selected as much more efficient. We need just a few millions of years or so of brute forcing.
Hey, Darpa, do you fund lone gunmen?)
It is not a coincidence that Oracle "lost interest" in Java EE - the whole ecosystems is a total disaster, the monument of bureaucracy, packer's mindset and human stupidity.
But it seems that NodeJS ecosystem is on track to outperform even this.)
This is exactly what is wrong.
Unnecessary complications resulting from not merely over-engineering but piling up completely unintelligible crap, produced in order to... well, use some Java 8 features.
Imagine that in math instead of doing algebraic simplification one would go into the opposite direction.
Same kind of madness, BTW, is going on in the realm of Javascript frameworks.
One has to reach a comparable level of intelligence first, and hopefully reaching that level will realize the futility to reviewing a "social genius".
Aside from the biographic details the whole article is quite meaningless.
There is really no big difference from what physical location one is accessing project's resources (repos, tracking, etc). Big and sophisticated projects like GHC (leave alone Linux kernel) are being successfully developed by remote teams.
The only downside is that pointy-haired managers cannot easily bully and abuse (with unpaid hours) migrant employees and there is no easy and accessible personal payment solution (Paypal sucks for non-us citizens) due to "anti-terrorism" money-control cretinism.
Actually, there is no technical problems at all, only organizational.