When practicing, the piece is not finished until I can play it with my eyes closed.
The 2+ octave leaps are difficult to do in this manner, but most normal jumps aren’t.
When practicing, the piece is not finished until I can play it with my eyes closed.
The 2+ octave leaps are difficult to do in this manner, but most normal jumps aren’t.
I’ve been scouring the web for the past few hours, looking specifically for high achievers that feel they do not fit into any of society’s preconceived groups. Originally an attempt to elucidate the source of my own differences, what I found soon drove me to a hypothesis about the nature of talent: it isn’t an objective measure of ability in a specific area of endeavor so much as a matter of natural affinity for a particular cognitive style. When the style employed and the preference match up, skill is gained very rapidly and the depth of the individual’s intuition becomes quite a marvel to watch (because you’re speaking the individual’s “native language”!) However, this only happens on the talent’s own terms. Music lends a nice analogy: Mozart is widely considered among the best composers of all time, but chances are that he would be rather helpless if asked to write a piece in the style of Rachmaninoff, just as someone talented in logical manipulation, no matter to what extent, would likely quail before a geometric problem (unless also talented in spatial reasoning, which is indeed possible).
When the style and the preference do not match, talented people seem to be well-aware of – and quite discomforted by – the mismatch. This clash is most evident in authoritative social interactions, such as those typically found in the office or the classroom, as talented people may be forced into a foreign cognitive paradigm… and held there for potentially long spans of time. This creates friction of necessity. If it occurs frequently or consistently, as it often does, it will eventually permeate the talented individual’s worldview, creating the drive towards individual autonomy and the feeling of detachment from society that seem to be so common among the gifted. The following remedies are likely, in the order in which they are likely to be tried:
The key to leveraging talent, then, is to allow the talented individual to make what adaptations are necessary for him to express his talent to the fullest. The desire for missing flexibility is the root cause, the very reason, for the drive towards individual autonomy so frequently expressed in high achievers. However, this drive is not for complete autonomy, per se, but simple operation on one’s own terms. There can be no way for a talented individual to excel, if not on his own terms!
The key for any sort of organization that wishes to cultivate or leverage talent, then, is to first (a) find the talent, and then (b) adapt to the talent, because talent can’t adapt to you.
I still find it baffling that so many “experts” in data mining do not know how to do k-nearest neighbor classification. The concept is so simple!
With rising food costs, a trend I’ve been noticing in restaurants is smaller portions at the same prices (rather than, say, raising prices on existing portions). It could also be a push towards healthier meals through less food, I suppose.
Understands the math, understands the programming, understands the client. Pick any two.
Google Maps gives turn-by-turn directions to get from one point to another. This is very handy, but most people do not require turn-by-turn directions on all legs of their trip. I’ve often found myself thinking things such as “Just get on Route 1, take exit 5, then follow the directions”. Google should make this sort of thinking representable by allowing users to collapse parts of the directions that they do not require. It would save space and make the directions more intuitive.
But given my past experiences giving ideas to Google, I no longer do so directly.
People have sort of brushed on this idea before at http://www2.cr.chiba-u.jp/symp2005/documents/Postersession/p002_Ketutwikantika_paper.pdf, but it doesn’t look like there’s any significant progress towards actually having done it yet. I bet you can use vector quantization to do this – feed in some urban, suburban, and rural areas, extract texture descriptors using VQ, and feed them into a classifier.
This is one I’m going to pursue. The barrier to entry is very low and fits nicely into my area of expertise.
Of all the evils in the world, the greatest is the resistance to any action which would help correct the others.
Google is finally about to roll out a CBIR system using something similar to the “Vantage Objects” concept. It’s about time – I’ve wondered why no major search engines adopted this sort of thing for a long time.
I have nothing against people with Asperger’s syndrome or other autism-spectrum disorders – in fact, they tend to have some great ideas and are among the smartest people I’ve ever met (true savants are outright intimidating, even to me). However, the communication difficulties aren’t overhyped; they really are very difficult to talk to, even when I make a conscious effort to communicate in spite of the difficulty. It seems that they either focus incredibly intently on a single topic to the extent that everything else, including the person they are speaking to, is shut out, or they exhibit the complete opposite behavior, jumping from topic to topic so quickly that it’s difficult to retain coherence amidst the clutter (but is this actually Autism?). It seems to have an impact not only on their real-time verbal skills (i.e., those used in a conversation), but also on their writing skills in general.
I don’t think I quite understood the nature of the disorder until I began communicating with some individuals who possessed it.