anything about Leibniz in there?
181 karma · joined September 7, 2013
anything about Leibniz in there?
Minorly successful, fun atleast. I'd suggest it
how about russia's market reforms? tell me about that
deng xiaoping liberalized china's economy, but now the greatest example of a capitalist economy is totalitarian and run by the state
it's not like india became independent from britain, and used state intervention to develop their economy and protect industries with tariffs. oh wait
friedman said the contraction was the result of bad fed policy, idk what you mean. he was literally a Keynesian when he wrote a monetary history
pls make more unqualified generalizations
you could also argue the underdevelopment of the third world by washington consensus (free market) policies
oh and banking/finance deregulation (pre/post-glass-stegall) of the great depression, s&l crisis, and the most recent financial crisis
i really don't know how to feel about milton friedman, i like the negative income tax and he support georgism. he's really a liberal, but such a huge spokes person for the seemingly detrimental policies enacted after the collapse of keynesianism in the 70s
economics isn't a deductive science. i prefer Keynes' irreducable uncertainty as a principle of policy. we can't predict the future, we don't how policy is going to act out. the future won't look like the past. the chicago school's knightian uncertainty is the supply side of the same coin
there are flaws in the logical positive approach, see pragmatists like john dewey, hilary putnam, or richard rorty: https://www.youtube.com/watch?v=oLJfEVu3kbY
part of his whole thing is that economics isn't something too complicated for the average person to understand. too much mathiness and touted as an absolute certain science
>The ideas of economists and political philosophers, both when they are right and when they are wrong are more powerful than is commonly understood. Indeed, the world is ruled by little else. Practical men, who believe themselves to be quite exempt from any intellectual influences, are usually slaves of some defunct economist.
the categorization is arbitary, even if you think it's heterodox. he's communicating to a general audience
have you read chang's kicking away the ladder? much more specialized if that's you're thing, with historical data
>In this provocative study, Ha-Joon Chang examines the great pressure on developing countries from the developed world to adopt certain 'good policies' and 'good institutions', seen today as necessary for economic development. His conclusions are compelling and disturbing: that developed countries are attempting to 'kick away the ladder' with which they have climbed to the top, thereby preventing developing countries from adopting policies and institutions that they themselves have used.
Does anyone have experience doing survival analysis? I've read a lot of the documentation of CamDavidsonPilon's Lifetimes. maybe i'll give it a shot, seems like the type of thing people would already do to price car insurance
Tesla’s mortality rate (41 deaths per million vehicle years) is so much higher than the average luxury car (13 deaths per million vehicle years) that when comparing the two, the difference is hugely statistically significant. The difference is 28 additional deaths per million vehicle years, with a confidence interval of 11 to 63, and a p-value of 0.0001.
Binomial confidence intervals for individual cars except Tesla provided by IIHS
Binomial confidence intervals for Tesla and groups using Conflint.xls from John Pezzullo
so he is doing some kind of hypothesis testing, using the binomial distribution but I wish he would post the data and spreadsheets used to generate everything. probably some p-hacking going on?
I'm not really that statistically literate, just a computer engineering dropout if someone could explain that'd be cool
It's taught in most beginning CS courses, has wide adoption for scientific computing and business. It seems like most apps are prototyped in R/Python before functions get ported to c or parallelized with dask/spark/scala
python was never intended to be a functional language, but it has lambdas. ruby and C++ are both "functional, OO, imperative" in the same way.
C with classes and first class functions is probably the best language
I originally thought his critique of postmodernism/continental philosophy and stuff was interesting, reminiscent of chomsky
His thesis on alcoholism is interesting, clearly he's atleast a decent psychologist. Reminds me of my aunt, psychologist at U. of Missouri, really interested in carl jung and religion.
IQ testing and personality tests always seemed broken to me. What is IQ measuring? Personality tests seem like arbitary categories. All of this is based on frequentist statistics (factor analysis), wonder if there's a bayesian perspective but I have no idea what i'm talking about honestly, especially compared to Peterson.
I can't stand his economic views, they're similar to Joe Rogan's "classical liberal"/market fundamentalist views. I like Kevin Carson's word: vulgar libertarianism:
"Vulgar libertarian apologists for capitalism use the term 'free market' in an equivocal sense: they seem to have trouble remembering, from one moment to the next, whether they’re defending actually existing capitalism or free market principles. So we get [a] standard boilerplate article… arguing that the rich can’t get rich at the expense of the poor, because 'that’s not how the free market works'— implicitly assuming that this is a free market. When prodded, they’ll grudgingly admit that the present system is not a free market, and that it includes a lot of state intervention on behalf of the rich. But as soon as they think they can get away with it, they go right back to defending the wealth of existing corporations on the basis of 'free market principles.'"
I just think it's crazy how much public subsidy went into creating Apple, and yet they're still seeking tax havens like Ireland
socialize the losses, privatize the profits i guess
the only book in the OP I thought was even mildly relevant was the one by Dennet, and it's generally acknowledged that it's pretty bad.
A more interesting but flawed approach, that resonates as someone who loves Dawkins and Hitchens (atheists and advocates of evolution), is Gerald Edelman's Neural Darwinism (1978). There is even modern research (that is real, working code) at the University of Texas that could be considered a successor to Edelman: NeuroEvolution of Augmenting Topologies (NEAT)
It even has an accompanying manual on how to implement artificial neural networks.
http://www.cnbc.cmu.edu/~plaut/IntroPDP/index.html
More along this line is found in David Marr's Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
https://www.youtube.com/watch?v=9WcIiSCDqhE
There is a spiritual successor to the PDP books called "Rethinking Innateness: A connectionist perspective on development" lead by Jeffery Elman who did some of the first research on Recurrent Neural Networks (RNNs). It makes heavy reference to Chomsky's work on language and innateness
https://crl.ucsd.edu/~elman/Papers/book/index.shtml
This line of work even has heavyweight ancestors in Donald Hebb's work on the neural basis of learning in "The Organization of Behavior" (1949) and the noted austrian economist(?)/classical liberal and anti-communist Frederick Hayek covered similar lines in his book "The Sensory Order" (1952)
I think this tradition is carried on in the work of Yann Lecun, who recently released a talk titled "Deep Learning, Structure and Innate Priors"
http://www.abigailsee.com/2018/02/21/deep-learning-structure...
the setosa interactive says convolution is "a technique for determining the most important portions of an image"
the hubel and wiesel experiment showed "there is a topographical map in the visual cortex that represents the visual field, where nearby cells process information from nearby visual fields. Moreover, their work determined that neurons in the visual cortex are arranged in a precise architecture. Cells with similar functions are organized into columns, tiny computational machines that relay information to a higher region of the brain, where a visual image is formed"
I'm interested in David Marr's work, about to order Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, his level of analysis approach is interesting. I think he did work on edge detection, which must of been involved some kind of convolution/filter
This setosa interactive is great, and actually references the gimp documentation
http://setosa.io/ev/image-kernels/
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the process is referred to more generally as "convolution"
https://knowingneurons.com/2014/10/29/hubel-and-wiesel-the-n...
The classic experiments by Hubel and Wiesel are fundamental to our understanding of how neurons along the visual pathway extract increasingly complex information from the pattern of light cast on the retina to construct an image. For one, they showed that there is a topographical map in the visual cortex that represents the visual field, where nearby cells process information from nearby visual fields. Moreover, their work determined that neurons in the visual cortex are arranged in a precise architecture. Cells with similar functions are organized into columns, tiny computational machines that relay information to a higher region of the brain, where a visual image is formed.
https://ps.is.tuebingen.mpg.de/research_fields/inverse-graph...
Computer vision as analysis by synthesis has a long tradition and remains central to a wide class of generative methods. In this top-down approach, vision is formulated as the search for parameters of a model that is rendered to produce an image (or features of an image), which is then compared with image pixels (or features). The model can take many forms of varying realism but, when the model and rendering process are designed to produce realistic images, this process is often called inverse graphics. In a sense, the approach tries to reverse-engineer the physical process that produced an image of the world.
http://pyro.ai/examples/vae.html
http://www.scholarpedia.org/article/Boltzmann_machine
http://www.scholarpedia.org/article/Deep_belief_networks
Geoff Hinton's Coursera course goes pretty deep on the unsupervised models
https://www.coursera.org/learn/neural-networks
Reinforcement learning probably counts too (Deep Q Learning, Policy Gradient, Actor-Critic networks might be equivalent to GANs?)
http://pytorch.org/tutorials/intermediate/reinforcement_q_le...
https://github.com/explosion/thinc#no-computational-graph--j...
https://arxiv.org/abs/1711.10455
Could someone give me some more detail?
Using Akamai/other CDNs is just crazy expensive, wonder what smashcast (formerly azubu and hitbox), Mixer (microsoft), AfreecaTV, and I assume there are some large chinese streaming sites use
Is this being used right now by Vimeo and Livestream?
I kind of get the use case, I wonder what the cost is like with traditional CDNs.
Democracy isn't a clearly defined concept, there are competing theories. Namely the madisonian and the jeffersonian, more recently the battle between deweyite and the Walter Lippmann variety.
I mean aristotle was basically right, he saw the solution was a social democracy and a welfare state
they are just worshippers of the state capitalist system, ideological managers keeping the party line "top of mind"
You should read his work on Marx and Lenin.
The divide between left and right is a propaganda technique used to limit the acceptable range of discussion anyways (see the propaganda model/Manufacturing Consent)
Yes, government = democracy (except when it's authoritarian, or most of the population is effectively excluded from participation because it's run by an oligopoly, pls give example of a case where government isn't coercive towards a majority of it's population)
I have read a lot of Thomas Sowell and Milton Friedman, they are good salesmen. Friedman is actually a liberal, supported a basic income, land value tax, etc. It's just the people in the american libertarian movement are horrible
Have you ever actually read any of the classical economists? Say Adam Smith's Wealth of Nations, it was a class analysis
If you're from Europe you should know about the greek debt crisis, but you just blame them for being lazy so we should destroy their GDP by imposing austerity and perpetual loans they can't repay.
Business owners care about profit over people, that is their stated objective, their institutional role. In the US, it would be illegal for them to do otherwise. If the CEO decided to leave, someone else would just take his place
"The U.S. is different from Europe and other industrial countries in this respect. The U.S. is, to a very unusual extent, a business-run society. There are all kinds of reasons for that — it has no feudal background, so institutions that remained in place in Europe did not remain in place here. There are a lot of reasons. But the fact of the matter is that the U.S. is run by an unusually class-conscious, dedicated business class that has a very violent labor history, much worse than in Europe. The attack on unions has been far more extreme here, and it has been much more successful. Also, the business propaganda has been far more successful. Anti-union propaganda has been considerably more successful here than in Europe, even among working people who would benefit [from] unions. In fact, a rather striking aspect of business propaganda in the United States is the demonization of government, starting after the Second World War.
The Second World War ended with a radicalization of the population in the United States and everywhere else, and called for all kinds of things like popular takeovers, government intervention, and worker takeovers of factories. Business propagated a tremendous propaganda offensive. The scale surprised me when I read the scholarship — it’s enormous, and it’s been very effective. There were two major targets: one is unions, the other is democracy. Well, [to them] democracy means getting people to regard government as an alien force that’s robbing them and oppressing them, not as their government. In a democracy it would be your government. For example, in a democracy the day when you pay your taxes, April 15, would be a day of celebration, because you’re getting together to provide resources for the programs you decided on. In the United States, it’s a day of mourning because this alien force — the government — is coming to rob you of your hard-earned money. That’s the general attitude, and it’s a tremendous victory for the opponents of democracy, and, of course, any privileged sector is going to hate democracy. You can see it in the healthcare debate.
The majority of the population thinks that if the government runs healthcare, they’re going to take away your freedom. At the same time, the public favors a national healthcare program. The contradiction is somehow unresolved. In the case of the business propaganda, it’s particularly ironic because while business wants the population to hate the government, they want the population to love the government. Namely, they’re in favor of a very powerful state which works in their interest. So you have to love that government, but hate the government that might work in your interest and that you could control. That’s an interesting propaganda task, but it’s been carried out very well. You can see it in the worship of Reagan, which portrays him as somebody who saved us from government. Actually he was an apostle of big government. Government grew under Reagan. He was the strongest opponent of free markets in the post-war history among presidents. But it doesn’t matter what the reality is; they concocted an image that you worship. It’s hard to achieve that, especially in a free society, but it’s been done, and that’s the kind of thing that activists in the IWW have to work against, right on the shop floor. It’s not so simple, but it’s been done before."