Comment author: morganism 07 July 2016 09:00:39PM *  2 points [-]

the Tesla auto-driver accident was truly an accident. I didn't realize it was a semi crossing the divider and two lanes to hit him.

https://www.teslamotors.com/blog/misfortune

Comment author: Douglas_Knight 10 July 2016 08:11:25PM 0 points [-]

Here (copy) is a diagram.

Tesla's algorithm is supposed to be autonomous for freeways, not for highways with intersections, like this. The algorithm doing what it was supposed to do would not have prevented a crash. But the algorithm was supposed to eventually apply the brakes. Its failure to do so was a real failure of the algorithm. The driver also erred in failing to brake, probably because he was inappropriately relying on the algorithm. Maybe this was a difficult situation and he could not be expected to prevent a crash, but his failure to brake at all is a bad sign.

It was obvious when Telsa first released this that people were using it inappropriately. I think that they have released updates to encourage better use, but I don't know how successful they were.

Comment author: Daniel_Burfoot 29 June 2016 01:22:44PM *  4 points [-]

This comment got 6+ responses, but none that actually attempted to answer the question. My goal of Socratically prompting contrarian thinking, without being explicitly contrarian myself, apparently failed. So here is my version:

  • Most startups are gimmicky and derivative, even or especially the ones that get funded.
  • Working for a startup is like buying a lottery ticket: a small chance of a big payoff. But since humans are by nature risk-averse, this is a bad strategy from a utility standpoint.
  • Startups typically do not create new technology; instead they create new technology-dependent business models.
  • Even if startups are a good idea in theory, currently they are massively overhyped, so on the margin people should be encouraged to avoid them.
  • Early startup employees (not founders) don't make more than large company employees.
  • The vast majority of value from startups comes from the top 1% of firms, like Facebook, Amazon, Google, Microsoft, and Apple. All of those firms were founded by young white males in their early 20s. VCs are driven by the goal of funding the next Facebook, and they know about the demographic skew, even if they don't talk about it. So if you don't fit the profile of a megahit founder, you probably won't get much attention from the VC world.
  • There is a group of people (called VCs) whose livelihood depends on having a supply of bright young people who want to jump into the startup world. These people act as professional activists in favor of startup culture. This would be fine, except there is no countervailing force of professional critics. This creates a bias in our collective evaluation of the culture.
Comment author: Douglas_Knight 10 July 2016 07:31:30PM 0 points [-]

You never explained what you mean by "startup culture," nor "good."

One can infer something from your arguments. But different arguments definitely appeal to different definitions of "good." In particular: good for the founder, good for the startup employee, good for the VC, and good for society.

There is no reason to believe that it should be good for all of them. In particular, a belief that equity is valuable to startup employees is good for founders and VCs, but if it is false, it is bad for startup employees. If startups are good for society, it may be good for society for the employees to be deceived. But if startups are good for society, it may be a largely win-win for startups to be considered virtuous and everyone involved in startups to receive status. Isn't that the kind of thing "culture" does, rather than promulgate specific beliefs?

By "startup culture" you seem to mean anything that promotes startups. Do these form a natural category? If they are all VC propaganda, then I guess that's a natural category, but it probably isn't a coherent culture. Perhaps there is a pro-startup culture that confabulates specific claims when asked. But are the details actually motivating people, or is it really the amorphous sense of virtue or status?

Sometimes I see people using "startup culture" in a completely different way. They endorse the claim that startups are good for society, but condemn the current culture as unproductive.

Comment author: Daniel_Burfoot 28 June 2016 04:01:49PM *  2 points [-]

Say you are a strong believer and advocate for the Silicon Valley startup tech culture, but you want to be able to pass an Ideological Turing Test to show that you are not irrational or biased. In other words, you need to write some essays along the lines of "Startups are Dumb" or "Why You Should Stay at Your Big Company Job". What kind of arguments would you use?

Comment author: Douglas_Knight 29 June 2016 12:37:45AM 3 points [-]

Not to disagree with this exercise, but I think that the name ITT is overused and should not be applied here. Why not just ask "What are some good arguments against startups?" If you want a LW buzzword for this exercise, how about hypothetical apostasy or premortem?

I think that ITT should be reserved for the narrow situation where there is a specific set of opponents and you want to prove that you are paying attention to their arguments. Even when the conventional wisdom is correct, it is quite common that the majority has no idea what the minority is saying and falsely claims to have rebutted their arguments. ITT is a way of testing this.

Comment author: Ixiel 19 May 2016 07:00:40PM 1 point [-]

Is there any precedent of a state going from direct election to something more like the electoral college for selection of a governor?

Comment author: Douglas_Knight 14 June 2016 05:02:12AM 1 point [-]

Another example: France. The Second Republic had a directly elected President, while the Third Republic had the President chosen by the Senate. France returned to direct elections early in the Fifth Republic. It did not go directly from direct election to electoral college because it did not go directly from Second to Third. But I believe that the decision against direct election was motivated by the experience of the Second Republic and the memory of the prescient arguments Jules Grévy made at the drafting of its Constitution; indeed, Grévy himself was a leading figure of the Third Republic.

Comment author: Douglas_Knight 09 June 2016 10:30:19PM 0 points [-]

The same can be done with addition of complex probability amplitudes, which is more exactly true in the sense that we are sure it is properly linear,

QM is linear, but you cannot take a snapshot of probability amplitudes.

Comment author: Viliam 28 May 2016 04:32:59PM 1 point [-]

Masha Gessen: Perfect Rigour: A Genius and the Mathematical Breakthrough of the Century

This is a story about one person, but there is a lot of background information on doing math in Soviet Union.

Comment author: Douglas_Knight 01 June 2016 01:42:11AM 0 points [-]

Thanks! Since that's in English, I will take at least a look at it.

Gessen does not strike me as a reliable source, so for now I am completely discounting everything you said about it, in favor of what I have heard directly from Russian mathematicians, which is a lot less extreme.

Comment author: Ixiel 26 May 2016 10:05:30PM -1 points [-]

Ok, I have to hold my breath as I ask this, and I'm really not trying to poke any bears, but I trust this community's ability to answer objectively more than other places I can ask, including more than my weak weak Google fu, given all the noise:

Is Sanders actually more than let's say 25% likely to get the nod?

I had written him off early, but I don't get to vote in that primary so I only just started paying attention. I'm probably voting Libertarian anyway, but Trump scares me almost as much as Clinton, so I'd sleep a little better during the meanwhile if it turns out I was wrong.

Thanks in advance. If this violates the Politics Commandment I accept the thumbs, but I'd love to also hear an answer I can trust.

Comment author: Douglas_Knight 27 May 2016 12:40:51AM 2 points [-]

Betfair says 5%. I'm not saying you shouldn't second-guess prediction markets, but you should look at them. If you think the right number is 25%, maybe you should put money on it. Actually, I do say that you should second-guess them: low numbers are usually over-estimates because of the structure of the market.

Comment author: Lumifer 05 May 2016 07:05:57PM *  4 points [-]

Well, we could find a country that is not particularly competent overall, but was very competent and innovative in one specific civilizational subfield.

Soviet Russia did very well with space and nukes. On the other hand, one of the reasons it imploded was that it could not keep up doing very well with space and nukes.

I think the correlation you're talking about exists, but it's not that strong (or, to be more precise, its effects could be overridden by some factors).

There is also the issue of relative position. Brain drain is important and at the moment US is the preferred destination of energetic smart people from all over the world. If that changes, US will lose much of it's edge.

Comment author: Douglas_Knight 26 May 2016 02:14:27AM 0 points [-]

space and nukes

Many of the same people worked on both projects. In particular, Keldysh's Calculation Bureau.

Comment author: Viliam 06 May 2016 07:35:25AM *  4 points [-]

I used to think that Soviet Union was worse in economy, but at least better at things like math. Then I read some books about math in Soviet Union and realized that pretty much all mathematical progress in Soviet Union came from people who were not supported by the regime, because the regime preferred to support the ones good at playing political games, even if they were otherwise completely incompetent. (Imagine equivalents of Lysenko; e.g. people arguing that schools shouldn't teach vectors, because vectors are a "bourgeoise pseudoscience". No, I am not making this one up.) There were many people who couldn't get a job at academia and had to work in factories, who did a large part of the math research in their free time.

There were a few lucky exceptions, for example Kolmogorov once invented something that was useful for WW2 warfare, so in reward he became one of the few competent people in the Academy of Science. He quickly used his newly gained political powers to create a few awesome projects, such as the international mathematical olympiad, the mathematical jurnal Kvant, and high schools specializing at mathematics. After a few years he lost his influence again, because he wasn't very good at playing political games, but his projects remained.

Seems like the lesson is that when insanity becomes the official ideology, it ruins everything, unless something like war provides a feedback from reality, and even then the islands of sanity are limited.

Comment author: Douglas_Knight 26 May 2016 02:13:29AM 0 points [-]

What were these books? I don't speak Russian, so I'll probably follow up with: who were a few important mathematicians who worked in factories?

I’ve heard a few stories of people being demoted from desk jobs to manual labor after applying for exit visas, but that’s not quite the same as never getting a desk job in the first place. I've heard a lot of stories of badly-connected pure mathematicians being sent to applied think tanks, but that's pretty cushy and there wasn't much obligation to do the nominal work, so they just kept doing pure math. I can't remember them, but I think I've heard stories of mathematicians getting non-research desk jobs, but doing math at work.

Comment author: ChristianKl 24 May 2016 11:57:02AM 0 points [-]

I'm not sure that X% better has a unit that's always the same.

But Tetlock implies that he doesn't have access to the comparison with the classified group

I don't think that's the case. It's rather that it's classified information that he can't reveal directly because it's classified.

Comment author: Douglas_Knight 24 May 2016 03:22:49PM 1 point [-]

That's what I thought when I saw the passage quoted from the book (p95), but then I got the book and looked at the endnote (p301) and Tetlock says:

I am willing to make a big reputational bet that the superforecasters beat the intelligence analysts in each year in which such comparisons were possible.

which must be illegal if he has seen the comparisons.

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