varelse

113 ms·

811.
by varelse 12y ago
This problem was observed 20+ years ago with linear models used for protein structure prediction. For any given model of what described a properly folded protein, one could locate conformations of the same protein that were rated as folded
812.
by varelse 12y ago
My litmus test for an open office fanboy manager is whether he too works in the open office. Usually not in my experience. Funny that...
813.
by varelse 12y ago
Not true, I was at Google at the time and many of us complained mightily on our internal forums. That said, there were a disturbing number of middle-level management types that would high five every move Google made, good or bad. And I thi
814.
by varelse 12y ago
Or you can just draw cones into the screen centered on each vertex and let the z-buffer do the dirty work... http://blog.alexbeutel.com/332/interactive-voronoi-diagrams-...
815.
by varelse 12y ago
It's easy to demonstrate that this is a huge advance in AI. All these guys need to do is start entering Kaggle competitions and win, and win, and win, and win... That said, given that Google et al. are scraping every corner of the bot
816.
by varelse 12y ago
The most interesting thing about this announcement is the huge emphasis on GPUs at Baidu driven by Ren Wu: http://on-demand.gputechconf.com/gtc/2014/presentations/S465... Combine this with Andrew Ng, whose ow
817.
by varelse 12y ago
All kidding aside, they'd probably have this done before California gets High Speed Rail between LA and SF...
818.
by varelse 13y ago
If you want Google to leave you alone for the rest of eternity, all you have to do is go work there and enjoy the perks for a few months (the food is excellent and they pay quite well) and then try to find work more suitable to your skill s
819.
by varelse 13y ago
In the case of my friend, because she could no longer afford to subsidize the rent of the tenant and they've decided that if they have to pay the mortgage and property taxes of the unit, they might as well live in it (or in the case of
820.
by varelse 13y ago
Viewed as hostile to tenants by tenants I expect. It's a pretty expensive loophole that I've personally seen bring small landlords to economic ruin. After all, heaven forbid we allow property owners to have control over their own
821.
by varelse 13y ago
Assuming they live in a unit subject to The Ellis Act, SF renters benefit from ludicrous amounts of rent control that cause unending headaches for small-scale landlords. No sympathy for the renters in question here whatsoever. http:/
822.
by varelse 13y ago
Some sort of predictor/corrector algorithm likely exploiting high-resolution data that would otherwise be classified is my guess. See Kalman Filters for such a thing... http://en.wikipedia.org/wiki/Kalman_filter
823.
by varelse 13y ago
If they'd spend the time they spent getting botox on Coursera or in youtube lectures learning the current skills that are in demand, they might just see a better result. Pushing 50 and it frickin' works for me...
824.
by varelse 13y ago
"After the dot-com shut down, 2003, I made $1M in the stock market. Lost most of it afterwards" TLDR: the person in question's advice is best ignored because he is in need of serious psychological help. No I am not being sarc
825.
by varelse 13y ago
And unfortunately 4-dimensional. They could have landed the plane, taken it apart and melted it for scrap, killed all the passengers and crew, and burned the bodies by now. Unless of course, they have a lot more data than they're sayi
826.
by varelse 13y ago
Consider an ideal black spherical 777, hilarity ensues... But seriously, the strength of Bayes is in coping with an initially craptastic prior by updating probabilities (the posteriors) as (potentially noisy) evidence comes in. Now based o
827.
by varelse 13y ago
While (ironically) that is exactly the La-Z-Boy from which I watch television and sometimes sleep, it would be an ergonomic disaster for me to work from it. 1. I have a (really) long body and (freakishly IMO) short legs (as in my wife is
828.
by varelse 13y ago
Dream on. All the significant money I've made in the valley (and technically I could retire today if I were willing to move to Portland or Seattle) has been working for post-IPO companies with 1,000+ employees. When I get offers from
829.
by varelse 13y ago
Correction, if you own what you create and perform too well, you become rich. It's when someone else owns it and has given you no incentive to perform well (99% of startups) that you become a liability.
830.
by varelse 13y ago
Methinks some causation and a large degree of correlation. There's quite a bit of spread until 2050 hours or so. Most workaholics I know neglect their health, they stop exercising, and they are generally miserable. I used to be all th
831.
by varelse 13y ago
Even the supposed 10,000x speedup is utterly bogus... The FPU here has 5,000 transistors. If you can stomach the lack of full IEEE compliance, you can build a full 32-bit FPU with ~100,000 transistors: http://citeseerx.ist.psu.ed
832.
by varelse 13y ago
"NNs can withstand and even benefit from noise." This is the sort of broad statement I put in the same fool file as "We used simulated annealing because it's guaranteed to converge." Bonus points for lobbing the ge
833.
by varelse 13y ago
Indeed, but I quote: "The pre-training uses stochastic binary units. After pre-training we cheat and use backpropagation by pretending that they are deterministic units that send the REAL-VALUED OUTPUTS of logistics." So without
834.
by varelse 13y ago
Really? I don't know about GPUs? That's news to me! Did you know that the precision of the fast reciprocal square root on NVIDIA GPUs is 1 ulps out of 23 bits? That's a world of difference away from 1 ulps out of 7 bits.
835.
by varelse 13y ago
Except the degree of error introduced by techniques like "knockout" and "maxout" are a hyperparameter under user control as are the many possible implementations of stochastic gradient descent. What's being suggest
836.
by varelse 13y ago
Each neuron in the human brain has ~10^4 connections to nearby neurons. This makes it an insanely data-parallel computer. This PoS is a task parallel nightmare.
837.
by varelse 13y ago
This design is utter computational tripe that completely ignores Amdahl's Law or any notion of data-parallelism. His 1% error comes from relying on 7-bit logarithmic floating point used in a task-parallel manner. This is a non-starter
838.
by varelse 13y ago
Douglas Adams metaphorically summarized this a long time ago IMO: MAJIKTHISE: We’ll go on strike! VROOMFONDEL: That’s right. You’ll have a national philosopher’s strike on your hands. DEEP THOUGHT: Who will that inconvenience? MAJIKTHISE: N
839.
by varelse 13y ago
Yes, Google hires specialists for their moonshots. And in doing so they make it extra difficult for existing employees to escape the tedious work they're doing by transferring to them. As an example, when I worked there, I was told (
840.
by varelse 13y ago
Vic Gundotra ruined Google+, which could have and should have relegated Facebook to 2nd place, but then Real Names happened and the rest is history. Google hires generalists: jacks of all trades, masters of none. Their web services and And

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