I read a story once about a billionaire who managed to flout a zoning limitation by building himself an absurdly huge high-rise single apartment. Once that was done, he waited a bit, and either using a loophole that already existed or one he finagled into the law, he added a bunch of walls inside is personal mega-apartment to and then sold off all these new units as regular apartments.
Now I think of this in the context of the American dredging and shipping laws. There's a lot of rules surrounding dredges and shipping vessels, but there are a lot fewer surrounding luxury items like yachts. So imagine a group of investors building a big, state of the art shipyard that builds yachts, but which can be converted for little or no additional cost to build dredges or vessels suitable for river shipping or similar.
A simpler alternative scheme is to just comply with the laws but use yachts or similar less-regulated vessels as a lead product to build capacity for the more economic ones, analogous to how Tesla strategically built an electric sports car to generate interest and funds for eventually building electric sedans.
Reading this after some months it looks like the majority of the commenters interpreted the post as being "I found a bunch of things that increase IQ," but it feels like the point of the post is more like "Anyone can increase their IQ by trying a bunch of plausible things."
If I am right, for your purposes, a better experiment would be other people trying different batches of interventions at a similar intensity for a similar length of time. Does that sound right?
I was absolutely certain I had responded to this, because I had taken the trouble to search for and locate a description of the procedure used in particle physics, which appears to be the central place where likelihood functions are the preferred tool.
Seems I wrote it but never submitted it, so in this here placeholder comment I vouchsafe to hunt that resource down again and put it here in an edit.
Edit: As I promised, the resource: https://ep-news.web.cern.ch/what-likelihood-function-and-how-it-used-particle-physics
This is a short article from by a person from CERN, Robert Cousins. It covers in brief what likelihood is and how it is different than probability, then a short description of three different methods of using a likelihood function (here listed as Likelihoodist, Neman-Pearson, and Bayesian), and then on to a slightly more advanced example. It has references which include some papers from the work on identifying the Higgs Boson, and some of his own relevant papers.
Suddenly more poignant:
Out of curiosity, were any patterns discovered during this process? For example, were the writing styles similar among the ones the AI could convert into successful music, or did ones by the same author churn out songs with specific similarities, or what have you?
This is great, bookmarked for future warm and fuzzies. I've just had my second, a son, on February 8th. My first, a daughter, is six next week.
Let it be known to all and sundry that kids are fantastic and fatherhood is wondrous. It is much work and a high cost in money and sleep, in exchange for which you are endowed with glorious purpose and wireheaded to the future.
Also there is the love. Strongly recommended.
Some relevant details for the American government case:
Popular election of the Senate began in 1913. Before that each state’s Senators were elected by the state legislature. This means factional dominance of the Senate was screened off, and actually determined the state level.
This is because the dominant group analysis at the time the constitution was written was people, state government, and federal government, and the conversation was about how to prevent a single group from gaining control over all of government.
The slave vs free grouping played out at the state level. Continuing the group analysis, state level politics is viewed as having been largely between urban and rural interests. In the South the rural interests - plantation owners - usually won, and in the North, urban industrialists usually did. The canonical example of the legacy of this divide is that state capitols are rarely the largest city in the state. The capitols - and therefore the state capital - are normally a much smaller city.
This brings us down to the local level, which in the US is where most of the competition between traditional divisions like race, religion and ethnicity played out.
I think at least in the American case, I model the key development as the creation of more and different groupings through federalism, rather than a veto mechanism for traditional groups.
On the other hand, separately I have heard the idea that traditional groups were weaker in the US than in Europe because of the disruption caused by the US’ colonial structure and immigration, so I could be mislead by these peculiar circumstances. I would need a much better understanding of the democratization of other European countries and preferably some outside of Europe. Unfortunately the data is pretty sparse there, as these democracies are usually very young and don’t have many cycles of competition to compare.
A few years after the fact: I suggested Airborne Contagion and Air Hygiene for Stripe’s (reprint program)[https://twitter.com/stripepress/status/1752364706436673620].
One measure of status is how far outside the field of accomplishment it extends. Using American public education as the standard, Leibniz is only known for calculus.
I wonder how feasible it would be to make something that would allow people to coordinate for consumption like unions for bargaining, parties for politics, or corporations for production. In particular I have in mind targeting entertainment and social media consumption because of the prevalence of recommendation algorithms here.
The intuition is that these algorithms are political computations: who gets the advertising traffic, what type of content is in demand, which consumers are catered to.
The thing being coordinated on is the consumer behavior; namely what people click on.
Examples:
Concretely, I have in mind something like a browser widget that overlays indicators of the most impactful consumption choice to make to influence the algorithm in the direction you want, such as an icon or a color filter. This would run over things like youtube, instagram, tiktok, etc.
Another way to think of this: a value handshake between whatever algorithm the company is using and an algorithm you would choose instead.
behavioring - by this I mean consciously conforming to a pattern of behavior so it shows up in behavior analysis, in this case consumer behavior tracking which is part of the function of recommendation algorithms.