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Ralph H
Attended MIT
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Ralph H

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More research on deliberative practice.
 
Here's a great review of psychologist Daniel Goleman's new book, Focus: The Hidden Driver of Excellence, by +Maria Popova.

Debunking the Myth of the 10,000-Hours Rule: What It Actually Takes to Reach Genius-Level Excellence
How top-down attention, feedback loops, and daydreaming play into the science of success

The secret to continued improvement, it turns out, isn’t the amount of time invested but the quality of that time. It sounds simple and obvious enough, and yet so much of both our formal education and the informal ways in which we go about pursuing success in skill-based fields is built around the premise of sheer time investment. Instead, the factor Ericsson and other psychologists have identified as the main predictor of success is deliberate practice — persistent training to which you give your full concentration rather than just your time, often guided by a skilled expert, coach, or mentor. It’s a qualitative difference in how you pay attention, not a quantitative measure of clocking in the hours.

[. . . .]

Goleman identifies a second necessary element: a feedback loop that allows you to spot errors as they occur and correct them, much like ballet dancers use mirrors during practice. He writes:

Ideally that feedback comes from someone with an expert eye and so every world-class sports champion has a coach. If you practice without such feedback, you don’t get to the top ranks.

The feedback matters and the concentration does, too — not just the hours.

Additionally, the optimal kind of attention requires top-down focus. While daydreaming may have its creative benefits, in the context of deliberate practice it only dilutes the efficiency of the process. Goleman writes:

Daydreaming defeats practice; those of us who browse TV while working out will never reach the top ranks. Paying full attention seems to boost the mind’s processing speed, strengthen synaptic connections, and expand or create neural networks for what we are practicing.

At least at first. But as you master how to execute the new routine, repeated practice transfers control of that skill from the top-down system for intentional focus to bottom-up circuits that eventually make its execution effortless. At that point you don’t need to think about it — you can do the routine well enough on automatic.

[. . . .]

Amateurs are content at some point to let their efforts become bottom-up operations. After about fifty hours of training — whether in skiing or driving — people get to that “good-enough” performance level, where they can go through the motions more or less effortlessly. They no longer feel the need for concentrated practice, but are content to coast on what they’ve learned. No matter how much more they practice in this bottom-up mode, their improvement will be negligible.

The experts, in contrast, keep paying attention top-down, intentionally counteracting the brain’s urge to automatize routines. They concentrate actively on those moves they have yet to perfect, on correcting what’s not working in their game, and on refining their mental models of how to play the game, or focusing on the particulars of feedback from a seasoned coach. Those at the top never stop learning: if at any point they start coasting and stop such smart practice, too much of their game becomes bottom-up and their skills plateau.

http://www.brainpickings.org/index.php/2014/01/22/daniel-goleman-focus-10000-hours-myth/
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Ralph H

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Hmmmm. I like my kabobs a bit less mammalian. Too close to Soylent Green for my palate.
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I need this BAD. 
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... I wonder if there are any new and funny videos on YouTube... 
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E coli bacteria are pretty efficient at replicating themselves. 
 
How quickly can a bacterium grow?

"Physicist finds that E. coli replicate close to thermodynamic limits of efficiency."
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Science fiction / speculative fiction writers are your friends - they've already figured all of this out. #Sciencefiction
 
Google fixes bug which might have allowed people to "snow crash" Google glasses.

Welcome to the future. it's just what we expected! :)
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OMG best real life snow crash reference.  Kudos +Kee Hinckley !!!
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What happens when you tell the FEC one thing, and the IRS another?

Nothing, apparently.
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Ralph H

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Well said.
 
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You will believe that a frog can fry.
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lol
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[This was neither home computer nor server, so I didn't put it in a subcategory]

Here's something you don't see every day: an Intel iPSC/2
(not to be confused with the IBM PS/2!).  Not as sexy as a Connection Machine, but still a nice find, if you need one.

Intel was working on a variety of supercomputer architectures in the 1980s.  They also had a contract to build a Warp system based on the designs done at Carnegie-Mellon.  We used the wire-wrap Warp in our robotic vehicles.

http://www.ebay.com/itm/Vintage-iPSC-2-Intel-Personal-SuperComputer-parallel-computer-hypercube-/290903888581?pt=US_Vintage_Computers_Mainframes&hash=item43bb3912c5
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Ed S
 
Wow - DAP was a 1-bit SIMD - a tiny Connection Machine from 1974 - 10 years early.
(Whereas the iPSC/2 is a hypercube of 16 '386+'387)
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[piracy] Sony, there's a reason I don't buy your products  anymore.
If you design products around a narrow "anti-piracy" use case, you will get a narrow community of users.

I remember previous Sony innovations like "rootkit CDs", "crippled formerly Linux-capable game consoles (PS3)", and things like this abominable disc player that requires an internet connection:

Learn from Microsoft's example.

http://torrentfreak.com/sony-video-players-should-be-internet-connected-to-beat-pirates-130703/
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Piracy is also reported as declining since 2008 - people are figuring out how to use services like Pandora , Spotify, and Grooveshark to get free access to music.
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Work
Occupation
Technical Architect / Technical Lead
Story
Tagline
software, modeling, methods, futures
Introduction
Technologist/business modeler implementing digital business models, product / web site design, and refining technology strategy along the way.

I also lead technical teams designing and building systems.

Degree in Cognitive Science from MIT.

I'm a fan of brains, AI, computers, software, radio astronomy, and road trips for Jazz and BBQ.

Circles I may fit into:
  • Science
  • Space exploration
  • Astronomy
  • Education
  • Artificial Intelligence, Robotics
  • Computer Science
  • Cognitive Science
  • Ecology or Environment
  • Usability
  • Gaming, Modeling, Computer Simulation
  • Futures Studies
  • Microprocessor (6502, Z80)

Roles played:
  • Product manager
  • Tech lead
  • Senior developer / software engineer
  • Methodology expert (prototyping & usability)
  • Security technologies
Technical skills
  • 10 years as a Tech lead & Technical Architect
  • Professional development in Java, C, C++, JEE, Lisp, SQL, XML, CLU
  • Licensed Amateur Radio operator
  • Computer and Electronics adventurer
Education
  • MIT
    Cognitive Science
  • Carnegie-Mellon
    Machine Vision (special student)
  • Wharton Business School
    "Building a business case" - Aresty Institute for Executive Education
Ralph H's +1's are the things they like, agree with, or want to recommend.
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