Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
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Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#2Will Silicon Valley accept money?
Real question is if Trump want's to tank the economy or not.
It's a fools errand, Marvin Minsky's idea about emotion machines is one thing, another is that its possible without enough compute over a database to create some called non-random. It would still create an absolute mess and contribute nothing useful compared to the real cost.
Domain specific applications of AI does not require direct funding apart from freely available and cheap tools.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#3Silicon Valley doesn’t have to help. At this point a regular nerd like me can do AI in my basement as long as the Pentagon provides a labeled dataset. Data is the hard part, but Pentagon can handle it: just have a bunch of soldiers label stuff.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#4There would be no Silicon Valley without the military industrial complex. Period.
But I think there are problems with getting too close to the Pentagon and then trying to operate internationally as a purported neutral information platform.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#5There would be no Silicon Valley without the military industrial complex. Period. But I think there are problems with getting too close to the Pentagon and then trying to operate internationally as a purported neutral information platform.
While I mostly agree with you on a historical basis, I don't agree with you on a theoretical basis.
Post hoc ergo propter hoc. The military invented a lot of things "first", or at least provided the use-case and funding for a lot of things.
But that doesn't necessarily and always mean that people couldn't have invented something without military funding and uses in mind.
For example, the military probably invented the sandbag bunker, but I have one in my back yard. I am sure I would have figured out how to invent that piece of technology on my own for my own non-military needs.
So, maybe someone out there would have thought that electrified silicon is an excellent way to facilitate virtually all global communications.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#6Silicon Valley doesn’t have to help. At this point a regular nerd like me can do AI in my basement as long as the Pentagon provides a labeled dataset. Data is the hard part, but Pentagon can handle it: just have a bunch of soldiers label stuff.
You are memeing AI. There are many applications in AI that require heavy R&D. For example, DARPA has their XAI project[1] which calls for developing methods to build systems for interpreting the results produced by opaque ML methods. As a long time lurker on HN, and doing independent research in this area for a few years now, I will tell you that most of HN has no clue what modern AI research really is, even though it is talked about a lot.
Try creating something non-trivial and you will see how little you know about the subject.
[1]:https://www.darpa.mil/program/explainable-artificial-intelli...
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#7Silicon Valley doesn’t have to help. At this point a regular nerd like me can do AI in my basement as long as the Pentagon provides a labeled dataset. Data is the hard part, but Pentagon can handle it: just have a bunch of soldiers label stuff.
You are memeing AI. There are many applications in AI that require heavy R&D. For example, DARPA has their XAI project[1] which calls for developing methods to build systems for interpreting the results produced by opaque ML methods. As a long time lurker on HN, and doing independent research in this area for a few years now, I will tell you that most of HN has no clue what modern AI research really is, even though i…
Sure, but that’s DARPA, it’s by definition for stuff that won’t be practical for the next 20 years, and it’s orthogonal to what they are pursuing in the near future. In the near future the goal is pretty simple: do the same things as they do now, but with more drones and a lot fewer people. A lot of off the shelf stuff is ready to go now: classification, object detection, segmentation, etc. And it’s not even that hard to get off the ground if you have a large, high quality dataset.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#8Earlier quoted context omitted.
You are memeing AI. There are many applications in AI that require heavy R&D. For example, DARPA has their XAI project[1] which calls for developing methods to build systems for interpreting the results produced by opaque ML methods. As a long time lurker on HN, and doing independent research in this area for a few years now, I will tell you that most of HN has no clue what modern AI research really is, even though i…
Sure, but that’s DARPA, it’s by definition for stuff that won’t be practical for the next 20 years, and it’s orthogonal to what they are pursuing in the near future. In the near future the goal is pretty simple: do the same things as they do now, but with more drones and a lot fewer people. A lot of off the shelf stuff is ready to go now: classification, object detection, segmentation, etc. And it’s not even that har…
Ok. I've spent the last several years working on neural networks for audio and music, and trying to reuse off the shelf classification and segmentation networks. It is ridiculously hard to get to work. I'm going to agree with BucketSort; I get the feeling that a lot of AI cheerleaders here have never actually trained a neural network.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#9Of course Silicon Valley will help.
Google != Silicon Valley
Palantir is in Palo Alto and has thousands of employees, they're helping the military industrial complex every minute of the day. Oracle is in Redwood, one of the largest employers in SV and has never stopped helping the Pentagon (not implying they're a leader in AI). Silicon Valley is loaded with companies and employees more than eager to help and always will be. The will they help headlines are nothing more than click-bait, it's a premise invented to get attention and stir drama.
In fact it's quite the opposite. The biggest problem for the Pentagon is filtering through which of the eager Silicon Valley companies they want to disperse funds/deals to. Figuring out which companies are the best option for what they want to accomplish. For every Google that resists slightly, there are a dozen more that will be thrilled to get the business. And if a company doesn't exist, there's endless venture capital available at a moment's notice if a new company needs formed to take advantage of a lucrative contract.
Re: Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?
#10Earlier quoted context omitted.
Sure, but that’s DARPA, it’s by definition for stuff that won’t be practical for the next 20 years, and it’s orthogonal to what they are pursuing in the near future. In the near future the goal is pretty simple: do the same things as they do now, but with more drones and a lot fewer people. A lot of off the shelf stuff is ready to go now: classification, object detection, segmentation, etc. And it’s not even that har…
Ok. I've spent the last several years working on neural networks for audio and music, and trying to reuse off the shelf classification and segmentation networks. It is ridiculously hard to get to work. I'm going to agree with BucketSort; I get the feeling that a lot of AI cheerleaders here have never actually trained a neural network.
What are you talking about? It’s ridiculously easy, to the point where my 14 year old can train a classifier. For classification in particular you don’t even need to do anything: just clone, point it to your dataset in one of the established formats (eg imagenet) and let it train for a few days. Object detection is quite a bit harder (and takes way longer to train even from a pretrained net), but again, totally doable half a dozen different ways using existing code you can get from GitHub.
If you’ve spent years doing this stuff and training a classifier is an insurmountable obstacle, you should consider changing your field of work.