marshallp

12 ms·

61.
by marshallp 14y ago
Stallman's behind the times, data is where the action is. He shuld be advocating for open data, software is so yesterday.
62.
by marshallp 14y ago
Things will get much worse for everyone with the coming of intelligent software in the next couple of years. This is the calm before the storm.
63.
by marshallp 14y ago
Is there a study comprehensively comparing the results of those different settings on a variety of data sets. (your opinion is commonly stated but I can't find any thorough evidence to it)
64.
by marshallp 14y ago
It also offers the opportunity for precise delivery of medicine, so that you can get some growth factor there (like extracellular matrix pixie dust) and get tissue growth there as well. Calling it quackery is absurd, thousands of people hav
65.
by marshallp 14y ago
That's the thing, it's not research. It's like 3d printers, there should be an ultrasound machine in every home. I'd like to see hackers work on it like they did with personal computers so the ultrasound revolution gets going. This is the c
66.
by marshallp 14y ago
What do you mean? It's a hugely important low cost high impact tech like 3d printers that doesn't get much attention. Why does that offend you?
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by marshallp 14y ago
That's so foolish, he should be investing it into the ultimate medical technology of this generation, focus ultraound http://www.fusfoundation.org/MRgFUS-Overview/about-focused-u...
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by marshallp 14y ago
Hopefully he invests in immortality research. The trend of billionaires dying without even trying to engineer a solution is retarded. He should start with focus ultrasound. It allows to grow/shrink any part of the body and so essentially re
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by marshallp 14y ago
I see where you're coming from, but ultrasound is not like gamma knife, it truly is revolutionary (no sides effects + very cheap), and I'd put Norvig inside the science community of AI, he's head researcher of the premier AI company after a
70.
by marshallp 14y ago
The failed cancer cures were biomolecules. This is about literally cooking it with beams, something hackers with a few hundreds in parts could attempt to do. The AI advance is seen as an advance by Peter Norvig (head of Google Research) him
71.
by marshallp 14y ago
Why is this so important that it reaches top spot in minutes. My links to curing cancer with ultrasound or creating ai get nothing, but the big G opens a new window for compose and it's a giant leap for humanity! Peter Norvig gave singulari
72.
by marshallp 14y ago
Just flip that around. First consider whether you can get data to solve a problem, and if you can get sufficient data, do machine learning. What you basically get is test-driven development with the development part being done automatically
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by marshallp 14y ago
To be fair, microsoft did kinect, a computer vision product that is in millions of hoees. It wouldn't be hard for google or apple to this but they haven't for some reason. The problem with microsoft has been that is ran it's research wing s
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A real and cheap cure for cancer, focused ultrasound(youtube.com)
1 points by marshallp 14y ago|1 comments
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Revolutionary surgical tech ripe for hackers - focused ultrasound(fusfoundation.org)
1 points by marshallp 14y ago|0 comments
76.
by marshallp 14y ago
That's all about bulk cargo though. For people movement and last mile delivery like pizza, energy isn't the major consideration. And airships don't compete with jets. They're either bulk cargo or scenic travel. If airships are commonplace s
77.
by marshallp 14y ago
It's not as simple as that. People fly now as well. If everything's about energy efficiency, people wouldn't leave their house. If by flying you can commute from a much cheaper place than it's worth it. Also, you have to factor in the road
78.
by marshallp 14y ago
Everyone's missing that drones (flying cars) might take off too at roughly the same time. The challenge of making driverless cars completely safe (intelligent sensing and control) is also the challenge for flying cars. Flying cars would bea
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by marshallp 14y ago
Your argument doesn't really make sense though. Nonworking -> working can describe early soviet industrialization, but it was far more impressive than you're making out - they were first in space for everything up till 69. Also, going f
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by marshallp 14y ago
Focused growth. Instead of factories churning out designer handbags and pet food, have them churn out biotech experiments for brain-computer interfaces.
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by marshallp 14y ago
There are huge risks that nick bostrom talks about http://www.nickbostrom.com/ The only difference is between that and the cold war is that people don't give them due attention because they are non-anthropomorphic (a fight with nature ins
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by marshallp 14y ago
But there's also a place for big science. Manhattan project, Apollo program, Soviet industrialization.
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by marshallp 14y ago
The fastest way to degrowth is creation of brain-computer interfaces that have realistic feel like in the matrix. Degrowthers should join the hacker movement in advancing that technology. The way to most quickly advance that technology is
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by marshallp 14y ago
Yeah, that wrong someone is you. You'll have to eat your words within 5 years at the most.
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by marshallp 14y ago
That kind of happened if you frame it in their era - HTML, CSS, PHP, SQL.
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by marshallp 14y ago
2011 and 2012 have been watershed years. IBM watson, speech recognition using neural nets beating speech researchers, neural nets on imagenet beating computer vision researchers. The trend is that automated machine learning wins. You can be
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by marshallp 14y ago
This is not about the singularity. This is about data vs programming. And your attacks on the singularity are misguided. You think singularity people are retarded and your anti-singularity possie are holier, yet you don't have a coherent an
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by marshallp 14y ago
I think most people are interested in practically solving problems. If the black box can solve it, there's no reason to care about "meaning". Once the machines have taken over all jobs, you can sit around and understand the meaning of thing
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by marshallp 14y ago
You can read up presentations by Jeff Dean and also look at what those companies are doing. Listen to Craig Mundie from microsoft for example. See what's happening in competitions like kaggle or what are state of the art on difficult comput
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by marshallp 14y ago
Programming bubble will pop. Automated Machine learning is taking over. Even at google, Jeff Dean has recently stated that his Perceptual AI project is aimed at reducing feature engineering in their machine learning projects. In plain terms

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