6S Plus did have OIS (in any case all cameras have autofocus which involves moving lens elements).
Probably the vibration in that situation didn't match the resonant modes of the camera components. It's probably a fairly rare event where everything lines up just right.
The evidence suggests that brainstorming doesn't work so well - the loudest and earliest views tend to dominate.
Instead, the recommendation seems to be to allow people to generate ideas in silence first. This is my approach, which has worked very effectively in groups of up to a dozen remotely for a variety of questions:
I like the approach described in that link, but oh man, if somebody started a meeting with "let's not brainstorm -- let's Idea Stampede", it'd be hard not to laugh.
Building on Hofstadter's models of analogy-making to build pattern recognition algorithms that work in a more human-like way. At least, that's my hope!
My background is in computational neuroscience, but I'm doing this on my own, mostly for fun. If it sounds interesting, I'd love some company! greg at gregdetre dot co dot uk
I'm no AI expert, but after reading both Hawkins' On Intelligence and Kurweil's How To Create A Mind, I'm pretty sold on the idea that our minds are basically pattern-matching machines. Lately I've been trying to spend a lot of time "thinking about thinking" and recognizing how I form thoughts, relate to memories, etc. I am not super familiar with Hofstadter's ideas, since I haven't (yet) finished even GEB, but the general idea is very intriguing to me. I'd be happy to chat with you sometime and bounce ideas around. You're almost certainly way ahead of me in terms of technical knowledge in this domain though.
Excellent, I'll look into getting a copy of that. I have several of his other books (GEB, I Am A Strange Loop, Metamagical Themas, etc.) but only got about 1/3rd of the way through GEB before setting it aside to focus on other stuff for "a while". Unfortunately "a while" has turned into over a year now, so I guess it's time to get back to it. :-)
I've been using 1Password for a few years now. I'm not qualified to comment on the security aspects of it - I'm trusting them and Apple to take care of that.
But I can comment on the superb quality of the user-facing aspects - it's a pleasure to use, has great iPhone and Dropbox support, and I really like the way they communicate as a company.
I'd be totally fascinated to hear about this if you ever find it! I'm greg at memrise dot com.
There's lots of evidence to show that mnemonics boost recollection by a factor or three or so across a wide range of domains, abilities and time ranges. See e.g. http://www.unforgettablelanguages.com/studies.html
Re the intermediate mnemonic device, here's the way I picture things. The mnemonic provides training wheels for your brain, helping you get the answer right a few times. Then, after enough correct responses, mediated by this (hippocampal) mnemonic representation, you rely less and less on the training wheels, and your cortex has had a chance to form a longer-lasting and more direct semantic link.
Disclosure: I'm one of the co-founders of Memrise, so it's not too surprising that I think there's merit in this approach :) Drop me a line or reply here, and I can try and follow up in more detail. Maybe I should write a blog post...
Training wheels is actually a good metaphor, since whether or not one should use training wheels for learning to ride a bike is also fairly hotly debated.
Broadly, our scheduling algorithms are based on the same ideas of spaced repetition that inspired Anki, SuperMemo and lots of others, though the devil is often in the details.
However, neither Anki nor SuperMemo enrich and speed up your learning with mems (crowd-sourced mnemonics), which provide a huge and well-documented boost to your learning rate and retention.
Perhaps most of all though, we've worked really hard to make Memrise a really happy learning experience. It's harder to put numbers on that, but hopefully you can feel it when you try it!
We added the garden narrative in Spring 2011. The goal was to wrap our internal model of the state of your memories in a visual metaphor to make it clearer and more vivid for you as a learner.
We've improved the underlying algorithms a lot since then. Do let us know if you still find the garden confusing.
