nhaliday + techtariat   574

“Give Anything” | An Algorithmic Lucidity
As a freshman on my high school's cross country team, our captain told me that to be a good runner, you needed to love pain.

I objected: a great runner could love to race, I said, and endure the pain only for the sake of competing and winning.

It's only fifteen years later (practically one foot in the grave), that I now see that I was wrong and he was right.
ratty  techtariat  aphorism  running  fitness  stoic  impetus  ends-means  biases  emotion  endurance 
6 weeks ago by nhaliday
Sequence Modeling with CTC
A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.
acmtariat  techtariat  org:bleg  nibble  better-explained  machine-learning  deep-learning  visual-understanding  visualization  analysis  let-me-see  research  sequential  audio  classification  model-class  exposition  language  acm  approximation  comparison  markov  iteration-recursion  concept  atoms  distribution  orders  DP  heuristic  optimization  trees  greedy  matching  gradient-descent 
december 2017 by nhaliday
Is the keyboard faster than the mouse?

It’s entirely possible that the mysterious studies Tog’s org spent $50M on prove that the mouse is faster than the keyboard for all tasks other than raw text input, but there doesn’t appear to be enough information to tell what the actual studies were. There are many public studies on user input, but I couldn’t find any that are relevant to whether or not I should use the mouse more or less at the margin.

When I look at various tasks myself, the results are mixed, and they’re mixed in the way that most programmers I polled predicted. This result is so boring that it would barely be worth mentioning if not for the large groups of people who believe that either the keyboard is always faster than the mouse or vice versa.

Please let me know if there are relevant studies on this topic that I should read! I’m not familiar with the relevant fields, so it’s possible that I’m searching with the wrong keywords and reading the wrong papers.
techtariat  dan-luu  engineering  programming  productivity  workflow  hci  hardware  working-stiff  benchmarks 
november 2017 by nhaliday
Definite optimism as human capital | Dan Wang
I’ve come to the view that creativity and innovative capacity aren’t a fixed stock, coiled and waiting to be released by policy. Now, I know that a country will not do well if it has poor infrastructure, interest rate management, tax and regulation levels, and a whole host of other issues. But getting them right isn’t sufficient to promote innovation; past a certain margin, when they’re all at rational levels, we ought to focus on promoting creativity and drive as a means to propel growth.


When I say “positive” vision, I don’t mean that people must see the future as a cheerful one. Instead, I’m saying that people ought to have a vision at all: A clear sense of how the technological future will be different from today. To have a positive vision, people must first expand their imaginations. And I submit that an interest in science fiction, the material world, and proximity to industry all help to refine that optimism. I mean to promote imagination by direct injection.


If a state has lost most of its jobs for electrical engineers, or nuclear engineers, or mechanical engineers, then fewer young people in that state will study those practices, and technological development in related fields slow down a little further. When I bring up these thoughts on resisting industrial decline to economists, I’m unsatisfied with their responses. They tend to respond by tautology (“By definition, outsourcing improves on the status quo”) or arithmetic (see: gains from comparative advantage, Ricardo). These kinds of logical exercises are not enough. I would like for more economists to consider a human capital perspective for preserving manufacturing expertise (to some degree).

I wonder if the so-called developed countries should be careful of their own premature deindustrialization. The US industrial base has faltered, but there is still so much left to build. Until we’ve perfected asteroid mining and super-skyscrapers and fusion rockets and Jupiter colonies and matter compilers, we can’t be satisfied with innovation confined mostly to the digital world.

Those who don’t mind the decline of manufacturing employment like to say that people have moved on to higher-value work. But I’m not sure that this is usually the case. Even if there’s an endlessly capacious service sector to absorb job losses in manufacturing, it’s often the case that these new jobs feature lower productivity growth and involve greater rent-seeking. Not everyone is becoming hedge fund managers and machine learning engineers. According to BLS, the bulk of service jobs are in 1. government (22 million), 2. professional services (19m), 3. healthcare (18m), 4. retail (15m), and 5. leisure and hospitality (15m). In addition to being often low-paying but still competitive, a great deal of service sector jobs tend to stress capacity for emotional labor over capacity for manual labor. And it’s the latter that tends to be more present in fields involving technological upgrading.


Here’s a bit more skepticism of service jobs. In an excellent essay on declining productivity growth, Adair Turner makes the point that many service jobs are essentially zero-sum. I’d like to emphasize and elaborate on that idea here.


Call me a romantic, but I’d like everyone to think more about industrial lubricants, gas turbines, thorium reactors, wire production, ball bearings, underwater cables, and all the things that power our material world. I abide by a strict rule never to post or tweet about current political stuff; instead I try to draw more attention to the world of materials. And I’d like to remind people that there are many things more edifying than following White House scandals.


First, we can all try to engage more actively with the material world, not merely the digital or natural world. Go ahead and pick an industrial phenomenon and learn more about it. Learn more about the history of aviation, and what it took to break the sound barrier; gaze at the container ships as they sail into port, and keep in mind that they carry 90 percent of the goods you see around you; read about what we mold plastics to do; meditate on the importance of steel in civilization; figure out what’s driving the decline in the cost of solar energy production, or how we draw electricity from nuclear fission, or what it takes to extract petroleum or natural gas from the ground.


Here’s one more point that I’d like to add on Girard at college: I wonder if to some extent current dynamics are the result of the liberal arts approach of “college teaches you how to think, not what to think.” I’ve never seen much data to support this wonderful claim that college is good at teaching critical thinking skills. Instead, students spend most of their energies focused on raising or lowering the status of the works they study or the people around them, giving rise to the Girardian terror that has gripped so many campuses.

College as an incubator of Girardian terror: http://danwang.co/college-girardian-terror/
It’s hard to construct a more perfect incubator for mimetic contagion than the American college campus. Most 18-year-olds are not super differentiated from each other. By construction, whatever distinctions any does have are usually earned through brutal, zero-sum competitions. These tournament-type distinctions include: SAT scores at or near perfection; being a top player on a sports team; gaining master status from chess matches; playing first instrument in state orchestra; earning high rankings in Math Olympiad; and so on, culminating in gaining admission to a particular college.

Once people enter college, they get socialized into group environments that usually continue to operate in zero-sum competitive dynamics. These include orchestras and sport teams; fraternities and sororities; and many types of clubs. The biggest source of mimetic pressures are the classes. Everyone starts out by taking the same intro classes; those seeking distinction throw themselves into the hardest classes, or seek tutelage from star professors, and try to earn the highest grades.

Mimesis Machines and Millennials: http://quillette.com/2017/11/02/mimesis-machines-millennials/
In 1956, a young Liverpudlian named John Winston Lennon heard the mournful notes of Elvis Presley’s Heartbreak Hotel, and was transformed. He would later recall, “nothing really affected me until I heard Elvis. If there hadn’t been an Elvis, there wouldn’t have been the Beatles.” It is an ancient human story. An inspiring model, an inspired imitator, and a changed world.

Mimesis is the phenomenon of human mimicry. Humans see, and they strive to become what they see. The prolific Franco-Californian philosopher René Girard described the human hunger for imitation as mimetic desire. According to Girard, mimetic desire is a mighty psychosocial force that drives human behavior. When attempted imitation fails, (i.e. I want, but fail, to imitate my colleague’s promotion to VP of Business Development), mimetic rivalry arises. According to mimetic theory, periodic scapegoating—the ritualistic expelling of a member of the community—evolved as a way for archaic societies to diffuse rivalries and maintain the general peace.

As civilization matured, social institutions evolved to prevent conflict. To Girard, sacrificial religious ceremonies first arose as imitations of earlier scapegoating rituals. From the mimetic worldview healthy social institutions perform two primary functions,

They satisfy mimetic desire and reduce mimetic rivalry by allowing imitation to take place.
They thereby reduce the need to diffuse mimetic rivalry through scapegoating.
Tranquil societies possess and value institutions that are mimesis tolerant. These institutions, such as religion and family, are Mimesis Machines. They enable millions to see, imitate, and become new versions of themselves. Mimesis Machines, satiate the primal desire for imitation, and produce happy, contented people. Through Mimesis Machines, Elvis fans can become Beatles.

Volatile societies, on the other hand, possess and value mimesis resistant institutions that frustrate attempts at mimicry, and mass produce frustrated, resentful people. These institutions, such as capitalism and beauty hierarchies, are Mimesis Shredders. They stratify humanity, and block the ‘nots’ from imitating the ‘haves’.
techtariat  venture  commentary  reflection  innovation  definite-planning  thiel  barons  economics  growth-econ  optimism  creative  malaise  stagnation  higher-ed  status  error  the-world-is-just-atoms  heavy-industry  sv  zero-positive-sum  japan  flexibility  china  outcome-risk  uncertainty  long-short-run  debt  trump  entrepreneurialism  human-capital  flux-stasis  cjones-like  scifi-fantasy  labor  dirty-hands  engineering  usa  frontier  speedometer  rent-seeking  econ-productivity  government  healthcare  essay  rhetoric  contrarianism  nascent-state  unintended-consequences  volo-avolo  vitality  technology  tech  cs  cycles  energy-resources  biophysical-econ  trends  zeitgeist  rot  alt-inst  proposal  multi  news  org:mag  org:popup  philosophy  big-peeps  speculation  concept  religion  christianity  theos  buddhism  politics  polarization  identity-politics  egalitarianism-hierarchy  inequality  duplication  society  anthropology  culture-war  westminster  info-dynamics  tribalism  institutions  envy  age-generation  letters  noble-lie 
october 2017 by nhaliday
Benedict Evans on Twitter: ""University can save you from the autodidact tendency to overrate himself. Democracy depends on people who know they don’t know everything.""
“The autodidact’s risk is that they think they know all of medieval history but have never heard of Charlemagne” - Umberto Eco

Facts are the least part of education. The structure and priorities they fit into matters far more, and learning how to learn far more again
techtariat  sv  twitter  social  discussion  rhetoric  info-foraging  learning  education  higher-ed  academia  expert  lens  aphorism  quotes  hi-order-bits  big-picture  synthesis  expert-experience 
october 2017 by nhaliday
[1709.06560] Deep Reinforcement Learning that Matters
I’ve been experimenting w/ various kinds of value function approaches to RL lately, and its striking how primitive and bad things seem to be
At first I thought it was just that my code sucks, but then I played with the OpenAI baselines and nope, it’s the children that are wrong.
And now, what comes across my desk but this fantastic paper: (link: https://arxiv.org/abs/1709.06560) arxiv.org/abs/1709.06560 How long until the replication crisis hits AI?

Seriously I’m not blown away by the PhDs’ records over the last 30 years. I bet you’d get better payoff funding eccentrics and amateurs.
There are essentially zero fundamentally new ideas in AI, the papers are all grotesquely hyperparameter tuned, nobody knows why it works.

Deep Reinforcement Learning Doesn't Work Yet: https://www.alexirpan.com/2018/02/14/rl-hard.html
Once, on Facebook, I made the following claim.

Whenever someone asks me if reinforcement learning can solve their problem, I tell them it can’t. I think this is right at least 70% of the time.
papers  preprint  machine-learning  acm  frontier  speedometer  deep-learning  realness  replication  state-of-art  survey  reinforcement  multi  twitter  social  discussion  techtariat  ai  nibble  org:mat  unaffiliated  ratty  acmtariat  liner-notes  critique  sample-complexity  cost-benefit  todo 
september 2017 by nhaliday
Rank aggregation basics: Local Kemeny optimisation | David R. MacIver
This turns our problem from a global search to a local one: Basically we can start from any point in the search space and search locally by swapping adjacent pairs until we hit a minimum. This turns out to be quite easy to do. _We basically run insertion sort_: At step n we have the first n items in a locally Kemeny optimal order. Swap the n+1th item backwards until the majority think its predecessor is < it. This ensures all adjacent pairs are in the majority order, so swapping them would result in a greater than or equal K. This is of course an O(n^2) algorithm. In fact, the problem of merely finding a locally Kemeny optimal solution can be done in O(n log(n)) (for much the same reason as you can sort better than insertion sort). You just take the directed graph of majority votes and find a Hamiltonian Path. The nice thing about the above version of the algorithm is that it gives you a lot of control over where you start your search.
techtariat  liner-notes  papers  tcs  algorithms  machine-learning  acm  optimization  approximation  local-global  orders  graphs  graph-theory  explanation  iteration-recursion  time-complexity  nibble 
september 2017 by nhaliday
Patrick McKenzie on Twitter: "It occurs to me that my hobby in writing letters about the Fair Credit Reporting Act is suddenly topical! So some quick opinionated advice:"
identity theft and credit monitoring guide (inspired by Equifax)

I really think the only solution to this is Congress or the courts acting to create serious civil liability for data breaches:
Another way this would be good: companies having to count your personal information as a serious potential cost as well as a potential asset will make it rational for them to invade your privacy less.
techtariat  twitter  social  discussion  current-events  drama  personal-finance  debt  money  safety  planning  objektbuch  howto  checklists  human-bean  duty  multi  backup  law  policy  incentives  privacy  business  regulation  security  unaffiliated 
september 2017 by nhaliday
Anatomy of an SQL Index: What is an SQL Index
“An index makes the query fast” is the most basic explanation of an index I have ever seen. Although it describes the most important aspect of an index very well, it is—unfortunately—not sufficient for this book. This chapter describes the index structure in a less superficial way but doesn't dive too deeply into details. It provides just enough insight for one to understand the SQL performance aspects discussed throughout the book.

B-trees, etc.
techtariat  tutorial  explanation  performance  programming  engineering  dbs  trees  data-structures  nibble 
september 2017 by nhaliday
The Conservation of Coercion - American Affairs Journal
The two faces of the Kapauku Papuans, and the way their anarchist-friendly political order rested on a deeply illiberal social order, neatly express how Technology and the End of Authority, by the Cato Institute scholar Jason Kuznicki, is both an interesting and a maddening book. Kuznicki states that he was inspired to write the book when he wondered why so many classical political philosophers, despite their disagreements over a vast number of topics, nevertheless all believed the nature and proper role of the state was the most important question concerning the proper organization of human affairs. Even libertarian and anarchist political theorists obsess about states, filling books with discussions of when and why we ought to reject them as illegitimate. The nature of their opposition implicitly concedes that the state, its value and purpose, is the central question for us to grapple with.

In contrast, Kuznicki invites us, if not to ignore the state, then at least to banish it from the forefront of our thinking. He asks us to consider states as just one tool among many that human societies have deployed to solve various sorts of problems. The state is neither God nor the Devil, but something pragmatic and unromantic—like a sewage system, or a town dump. Yes, we want it to function smoothly lest the place start to stink, but good taste demands that we not focus obsessively on its operation. Statecraft, like sanitation engineering, is a dirty job that somebody has to do, but unlike sanitation engineering it should also be a mildly embarrassing one. The notion that political means are a locus of the good, or that the state is imbued with the highest purposes of society, is as ridiculous as the notion that a city exists for its sewers rather than vice versa. So, Kuznicki suggests, we should treat anybody attempting to derive the correct or legitimate purposes of the state with the same skepticism with which we would view somebody waxing philosophical about a trash compactor. The real center of society, the topics worth debating and pondering, are all the other institutions—like markets, churches, sports teams, scientific schools, and families—whose existence the correct operation of the state supports.


The second implication of Kuznicki’s statecraft-as-engineering is that any determination about the proper role and behavior of government must remain unsettled not only by historical and cultural context, but also by the ambient level of technology. Kuznicki explores this at some length. He does not mean to make the common argument that the particular set of technologies deployed within a society can be more or less conducive to particular forms of government—as mass democracy might be encouraged by technologies of communication and travel, or as centralized autocracy might tend to arise in societies relying on large-scale irrigation for intensive agriculture. Rather, if the state is a tool for solving an array of otherwise intractable social problems, Kuznicki surmises, a newly discovered technological solution to such a problem could remove it from the state’s set of concerns—perhaps permanently.


What are the qualities of a society which make it more or less likely to be able to solve these dilemmas as they come up? Social scientists call societies that support commitment and enforcement mechanisms sufficient to overcome such dilemmas “high trust.” Some sources of social trust are mundane: for instance, it seems to make a big difference for a society to simply have a high enough median wealth that someone isn’t liable to be ruined if he or she takes a gamble on trusting a stranger and ends up getting cheated. Others are fuzzier: shared participation in churches, clubs, and social organizations can also significantly increase the degree of solidarity and trust in a community. Thinkers from Tocqueville to Robert Nisbet have pointed out the ways in which the ascendant state makes war upon and seeks to displace the “little platoons” of civil society. It is not well appreciated today that the reverse is also true: a “thick” culture rooted in shared norms and shared history can make the state less necessary by helping to raise the ambient level of social trust above whatever threshold makes it possible for citizens to organize and discipline themselves without state compulsion.


The story of the diamontaires ends with the whole system, private courts and all, falling apart following an influx of non-Hasidic actors into the New York diamond industry. But lack of trust and solidarity aren’t just problems if we want private courts. Yes, a very high degree of social trust can help to replace or displace state institutions, but any amount of trust tends to make governments more efficient and less corrupt. It isn’t a coincidence that many of the most successful governments on earth, whether efficient and well-run welfare states on the Scandinavian model or free-market havens boasting low taxes and few regulations, have been small, tight-knit, often culturally and linguistically homogeneous. Conversely, history’s most successful multiethnic polities have tended to be empires or confederations with a very high degree of provincial or local autonomy. Government is not a problem that scales gracefully: certainly not with number of citizens, but perhaps also not with number of constituent cultures. Those who love cosmopolitanism (among whom I count myself) talk a great deal about the incidental benefits it brings, and a great deal less about its drawbacks. I and other cosmopolitans love to exalt the dynamism that comes from diversity and the way it can help a society avoid falling into complacency. We are less willing to discuss the tiny invisible tax on everything and everybody that reduced social trust imposes, and the ways in which that will tend to make a nation more sclerotic.

In the absence of trust, every private commercial or social interaction becomes just a little bit more expensive, a little bit less efficient, and a little bit less likely to happen at all. Individuals are more cautious in their dealings with strangers, businesses are less likely to extend credit, everybody is a little more uncertain about the future, and people adjust their investment decisions accordingly. Individuals and businesses spend more money on bike locks, security systems, and real estate they perceive to be “safe,” rather than on the consumption or investment they would otherwise prefer. Critics of capitalism frequently observe that a liberal economic order depends upon, and sometimes cannibalizes, precapitalist sources of loyalty and affection. What if the same is true of political freedom more generally?

Some might object that even to consider such a thing is to give in to the forces of bigotry. But the whole point of taking a flinty-eyed engineer’s approach to state-building is that we don’t have to like the constraints we are working with, we just have to deal with them. The human preference for “people like us”—whether that means coreligionists or people who share our musical tastes, and whether we choose to frame it as bigotry or as game-theoretic rationality—is a stubborn, resilient reality. Perhaps in the future some advanced genetic engineering or psychological conditioning will change that. For now we need to recognize and deal with the fact that if we wish to have cosmopolitanism, we need to justify it on robust philosophical grounds, with full awareness of the costs as well as the benefits that it brings to bear on every member of society.
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august 2017 by nhaliday
Book review: "Working Effectively with Legacy Code" by Michael C. Feathers - Eli Bendersky's website
The basic premise of the book is simple, and can be summarized as follows:

To improve some piece of code, we must be able to refactor it.
To be able to refactor code, we must have tests that prove our refactoring didn't break anything.
To have reasonable tests, the code has to be testable; that is, it should be in a form amenable to test harnessing. This most often means breaking implicit dependencies.
... and the author spends about 400 pages on how to achieve that. This book is dense, and it took me a long time to plow through it. I started reading linerarly, but very soon discovered this approach doesn't work. So I began hopping forward and backward between the main text and the "dependency-breaking techniques" chapter which holds isolated recipes for dealing with specific kinds of dependencies. There's quite a bit of repetition in the book, which makes it even more tedious to read.

The techniques described by the author are as terrible as the code they're up against. Horrible abuses of the preprocessor in C/C++, abuses of inheritance in C++ and Java, and so on. Particularly the latter is quite sobering. If you love OOP beware - this book may leave you disenchanted, if not full of hate.

To reiterate the conclusion I already presented earlier - get this book if you have to work with old balls of mud; it will be effort well spent. Otherwise, if you're working on one of those new-age continuously integrated codebases with a 2/1 test to code ratio, feel free to skip it.
techtariat  books  review  summary  critique  engineering  programming  intricacy  code-dive  best-practices  checklists  checking 
july 2017 by nhaliday
mental gluttony – Snakes and Ladders
Again, while it is a great blessing that a man no longer has to be rich in order to enjoy the masterpieces of the past, for paperbacks, first-rate color reproductions, and stereo-phonograph records have made them available to all but the very poor, this ease of access, if misused — and we do misuse it — can become a curse. We are all of us tempted to read more books, look at more pictures, listen to more music than we can possibly absorb, and the result of such gluttony is not a cultured mind but a consuming one; what it reads, looks at, listens to is immediately forgotten, leaving no more traces behind than yesterday’s newspaper.

Clearing up browser bookmarks of saved reading. Realizing that having way too much to read for a lifetime isn't something to be proud of.

letters  pinboard  info-dynamics  info-foraging  attention  the-monster  temperance  prudence  culture  big-peeps  aristos  old-anglo  aphorism  quotes  rhetoric  advice  regularizer  prioritizing  workflow  twitter  social  discussion  techtariat  internet  notetaking  exocortex  multi  unaffiliated  gnon  right-wing  explore-exploit 
july 2017 by nhaliday
A different view of the World | The Blog by Javier
Today I have been playing with one of these applications. These are three of the cartograms I made:

- In the first one: area represents GDP (in purchasing power parity) whereas colour shows GDP per capita (again in PPP).
- The second one shows: military expenditure (PPP) as the area of countries whereas colour shows military expenditure as a percentage of GDP.
- The last one has area representing again military expenditure (PPP) and colour showing military expenditure per capita (PPP).
techtariat  data  maps  visualization  list  world  economics  econ-metrics  wealth-of-nations  wealth  scale  pro-rata  military  defense  let-me-see  usa  china  asia  europe  india  russia  real-nominal 
july 2017 by nhaliday
Reuters Institute Digital News Report 2017
Section 3.2, p. 39 has polarization data
A new way to chart ideological leanings in news media: https://www.axios.com/a-new-way-to-chart-ideological-leanings-in-news-media-2475716743.html
(using Twitter follows)
Exploring the Ideological Nature of Journalists’ Social Networks on Twitter and Associations with News Story Content: https://drive.google.com/file/d/0B8CcT_0LwJ8QVnJMR1QzcGNuTkk/view
Visualizing Political Polarization on Twitter: http://www.theoutgroup.org/
Dear Mainstream Media: Why so liberal?: https://www.washingtonpost.com/blogs/erik-wemple/wp/2017/01/27/dear-mainstream-media-why-so-liberal/
Political Leanings of US Journalists vs. the Public in 2002

Topline Results: 2017 Texas Media & Society Survey: https://moody.utexas.edu/sites/default/files/TMASS_2017Topline_final.pdf
Some interesting results from a poll about media & polarization that I presented today for @AStraussInst <THREAD>
pdf  news  org:lite  media  database  data  analysis  politics  polarization  poll  values  time-use  world  usa  europe  EU  britain  internet  tv  social  white-paper  org:ngo  org:edu  ideology  multi  visualization  spatial  exploratory  polisci  wonkish  network-structure  twitter  techtariat  ssc  neocons  info-dynamics  project  org:junk  journos-pundits  info-foraging  track-record  objektbuch  chart  commentary  backup  org:rec  distribution  biases  comparison  within-without  input-output  supply-demand 
june 2017 by nhaliday
Distribution of Word Lengths in Various Languages - Ravi Parikh's Website
Note that this visualization isn't normalized based on usage. For example the English word 'the' is used frequently, while the word 'lugubrious' is rarely used; however both words count the same in computing the histogram and average word lengths. A great idea for a follow-up would be to use language corpuses instead of word lists in order to build these histograms.
techtariat  data  visualization  project  anglo  language  foreign-lang  distribution  expectancy  measure  lexical 
june 2017 by nhaliday
Yale Law Journal - Amazon's Antitrust Paradox
This Note argues that the current framework in antitrust—specifically its pegging competition to “consumer welfare,” defined as short-term price effects—is unequipped to capture the architecture of market power in the modern economy. We cannot cognize the potential harms to competition posed by Amazon’s dominance if we measure competition primarily through price and output. Specifically, current doctrine underappreciates the risk of predatory pricing and how integration across distinct business lines may prove anticompetitive. These concerns are heightened in the context of online platforms for two reasons. First, the economics of platform markets create incentives for a company to pursue growth over profits, a strategy that investors have rewarded. Under these conditions, predatory pricing becomes highly rational—even as existing doctrine treats it as irrational and therefore implausible. Second, because online platforms serve as critical intermediaries, integrating across business lines positions these platforms to control the essential infrastructure on which their rivals depend. This dual role also enables a platform to exploit information collected on companies using its services to undermine them as competitors.

Amazon Must Be Stopped: https://newrepublic.com/article/119769/amazons-monopoly-must-be-broken-radical-plan-tech-giant

Amazon Will Go To Denver: https://gnxp.nofe.me/2017/09/10/amazon-will-go-to-denver/
Real things cities are offering to get Amazon HQ2
*Chicago: Let Amazon keep employees' income tax
*SoCal: Give away $100M in land
*Boston: City employees working just for Amazon
*Fresno: Let Amazon decide how to spend tax dollars

Washington, D.C., might have a leg up, having already hosted Amazon Chief Executive Jeff Bezos for visits when he considered acquiring the Washington Post, which he now owns. Mr. Bezos also purchased the former Textile Museum in Washington’s Kalorama neighborhood for $23 million in 2016 and is currently turning it into a private residence.

28-year-old makes millions buying from Walmart, selling on Amazon: https://www.msn.com/en-us/money/companies/28-year-old-makes-millions-buying-from-walmart-selling-on-amazon/ar-AAupB8i

Thread: Why Amazon’s HQ2 is going to Fairfax County


walmart is the only entity that has even a slim chance at preventing jeff bezos from intermediating every commodity exchange in the world, u must respect

"I tried to save you, but you didn't listen. Now you'll have to face Him alone..."

What Amazon does to wages: https://www.economist.com/news/united-states/21735020-worlds-largest-retailer-underpaying-its-employees-what-amazon-does-wages
Is the world’s largest retailer underpaying its employees?

Flat or falling industry wages are common in the cities and towns where Amazon opens distribution centres, according to an analysis by The Economist. Government figures show that after Amazon opens a storage depot, local wages for warehouse workers fall by an average of 3%. In places where Amazon operates, such workers earn about 10% less than similar workers employed elsewhere.

What Amazon Does to Poor Cities: https://www.theatlantic.com/business/archive/2018/02/amazon-warehouses-poor-cities/552020/
The debate over Amazon’s HQ2 obscures the company’s rapid expansion of warehouses in low-income areas.

The Facts Behind Trump’s Tweets on Amazon, Taxes and the Postal Service: https://www.nytimes.com/2018/03/29/us/politics/trump-amazon-post-office-fact-check.html

If Workers Slack Off, the Wristband Will Know. (And Amazon Has a Patent for It.): https://www.nytimes.com/2018/02/01/technology/amazon-wristband-tracking-privacy.html

auto-management -> automation dystopia: http://marshallbrain.com/manna.htm

Amazon’s vision for the future: delivery drone beehives in every city: https://www.theverge.com/2017/6/23/15860668/amazon-drone-delivery-patent-city-centers
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june 2017 by nhaliday
Cultural group selection plays an essential role in explaining human cooperation: A sketch of the evidence
Pursuing Darwin’s curious parallel: Prospects for a science of cultural evolution: http://www.pnas.org/content/early/2017/07/18/1620741114.full

Axelrod model: http://ncase.me/trust/

Peer punishment promotes enforcement of bad social norms: https://www.nature.com/articles/s41467-017-00731-0
Social norms are an important element in explaining how humans achieve very high levels of cooperative activity. It is widely observed that, when norms can be enforced by peer punishment, groups are able to resolve social dilemmas in prosocial, cooperative ways. Here we show that punishment can also encourage participation in destructive behaviours that are harmful to group welfare, and that this phenomenon is mediated by a social norm. In a variation of a public goods game, in which the return to investment is negative for both group and individual, we find that the opportunity to punish led to higher levels of contribution, thereby harming collective payoffs. A second experiment confirmed that, independently of whether punishment is available, a majority of subjects regard the efficient behaviour of non-contribution as socially inappropriate. The results show that simply providing a punishment opportunity does not guarantee that punishment will be used for socially beneficial ends, because the social norms that influence punishment behaviour may themselves be destructive.

Peer punishment can stabilize anything, both good and bad norms. This is why you need group selection to select good social norms.
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june 2017 by nhaliday
:feed v1 - /fora/posts/~2017.4.12..21.14.00..fe17~
The goal of this demo was to show that building a Twitter replacement actually isn't that hard at all; and it can be done almost entirely on the frontend. As shown, you don't even have to use React/Redux. But that's probably the way to go if you want to build the real thing.
techtariat  urbit  software  decentralized  twitter  social  internet  web  programming  tutorial  project  gnon 
april 2017 by nhaliday
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