_gmax0

The joys of socket programming.

Maybe withhold making normative claims until you have some perspective.

Does generalizing to hypergraphs ease this in any way? The cost-benefit trade-off seems to be greater computational complexity for potentially unobserved insights.

- Barring market microstructure considerations altogether, aren't there human-engineered failsafes in place to prevent market selloffs? Most recent and salient example that comes to my mind: circuit breakers during the multiple day sell-off on news that COVID was indeed serious.

- Additionally, weren't most fears re. algorithmic trading in the US equity space addressed in the early 2010s?

- We saw Zillow (using Facebook's Prophet), Redfin, and Opendoor apply algorithmic trading to homes. Did they really have an outsized effect on housing liquidity? A superficial look at the numbers tells me that on paper, wealth was redistributed from their pockets.

It's also interesting to consider each character (disregarding minor characters) all of as an orthogonal dimension of a single person (by no means scientific): the inner-monkey (Dmitri), hyper-intellect (Ivan), spiritual/altruistic (Alyosha). From this perspective, the work is a solipsistic study on how inner-conflict manifests outwardly into the world.

Have you seen anything worth reading in that line of literature which addresses a more practical issue of segment sizing and segment overlap on accuracy?

Looking forward to when a portable EEG monitors are available at an affordable price.

1 - We want to model data, representative of some system, through functions.

2 - Virtually any function can be expressed by a n-th order polynomial.

3 - We wish to learn the parameters, the coefficients, of such polynomials.

4 - Neural networks allow us to brute-force test candidate values of such parameters (finding optimal candidate parameters such that error between expected and actual values of our dataset are minimized)

Whereas prior, methods (e.g. PCA) could only model linear relationships, neural networks allowed us to begin modeling non-linear ones.

This is where you begin to overgeneralize.

What bond-selection strategies do banks usually take in situations like this? Riskiest bonds off of their sheets first?

I'm no sociologist and did not apply any critical analysis to these works, but most of the literature and surveys I found on this topic suggested that men fare worse than women on health outcomes when it comes to marital/romantic singlehood. The speculative cause was that these women possessed deeper friendships than those men, who tended to be more isolated, especially in later stages of life.

To reach the point where no-code is a no-brainer further implies inflexibility in the capabilities of applications and moreover, fungibility in their fundamental uses. The question to ask is are the upper layers of abstraction reducible to what's analogous to the outputs of a parse tree.

If we reach this point where creativity and actual innovation is lost and we're all simply attempting to make the next 'facebook for dogs', I anticipate my future personal career switch to starring in geriatric pornographic films.

Assuming that their vision was well-intentioned (insofar as having the government subsidize GPS development was well-intentioned by selling them the fact that it could not be extended to support commercial use), those predictions were fundamentally flawed without understanding the cynical side of human nature.

An a priori programming that implies inevitability?

I guess more real-time digital communication such as video or call (video taking priority given that it contains additional sensory information) could come close, but none of these are 'memory-less' as physical interaction.

I wonder if I myself have blown through professional relationships in this way...I like to think that the cultures I'm in aren't so risk averse towards the first impressions they make.

Digital hallways exist in the form of private messages.

I wouldn't be surprised as other posters have opined (and likely accurately) that industry/hacker groups have progressed past academia.