61–67 of 67 posts
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The biggest problem with the Segway is that you look like a total dork using it. Do people on motorcycles look like lazy idiots? You totally missed the reason why it failed.
Motorcycles tend to kill a nice proportion of its users so lazy is not the first association really. So it is: Too young or reckless to use a car. With segways its more like: Too lazy to get on a bicycle.
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Motorcycles tend to kill a nice proportion of its users so lazy is not the first association really. So it is: Too young or reckless to use a car. With segways its more like: Too lazy to get on a bicycle.
Ok, what about skateboards? If you ride one downhill you barely need to use energy.
When I see Tony Hawks Segway Pro in the shelves because people want to do those tricks but are afraid to break their bones, then maybe then Segways will be cool. All I see on the horizon is "Ride your Segway like Woz" the iPhone App that really only plays 3 videos (But you know how hard it is to get a video into iTunes).
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Motorcycles tend to kill a nice proportion of its users so lazy is not the first association really. So it is: Too young or reckless to use a car. With segways its more like: Too lazy to get on a bicycle.
Ok, what about skateboards? If you ride one downhill you barely need to use energy.
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I think that was clear from the article. What jenius, I think, was saying is that you don't offer much support for this claim. How, for example, can startups get on the AI-as-a-service bandwagon without having the resources and experience of a company like Apple?
Exactly right john_b... the author's follow-up comment addressed nothing that I said, just made another baseless claim - that "I think it's like the apple II of computers". Why? What makes it like the apple II? You have to back yourself up. I personally think they are nothing alike, and here's why: The Apple II was a revolution of personal computing. It brought the personal computer to the masses, and made it infinit…
If I can present my chain of thoughts leading up to my decision in an interesting way I may write another article called "Why I think Siri is the Next Big Thing".
But here is my chain of thought for the curious mind in a very crude way:
What I did was to observe the moves of Apple and try to figure out their strategy. I put together the information that is available on the Internet. I connected the dots.
I knew Apple bought Siri for about $200 mil. I knew about Siri's history. You don't buy voice recognition software for this price. I watched the Mossberg-Jobs interview where Mossberg keeps insisting that Siri is in the search area and Jobs keep correcting him saying no Siri is in the A.I. area. I watched how the critical question "What are you going to do with it?" got lost during the conversation. When Mossberg said that the iPad is great for consumption but not for creation, it was very clear that Jobs did not see it like that at all. I also watched some Apple videos from late 80's which depicts a professor talking to his computer and getting his daily business done. It seemed to me that they had this vision all along and now they were implementing it.
Then I realized how iCloud fits in to this all. With the introduction of Siri it was clear to me that the next frontier the competition is moving to is A.I. Apple is going all in. IBM is pushing hard. Apparently, Google is baking some stuff.
While I was thinking about all these and trying to find its meaning, the interview between Fred Wilson and Carlota Perez helped me to put it all in context.
I think this is the time to invest in A.I. If a VC expects huge returns from his investment in 5-7 years, I think A.I. is the right way to go. If an entrepreneur wants to do something amazing, I think A.I. is the right way to go. My speculation is in 1-2 years this is going to be all we talk about.
I think A.I. is where the puck is going now. I might be wrong, I might be right. We will know soon enough.
It's interesting that the Printing Press didn't make the list of previous revolutions, because I think this highlights two different ways of thinking about intelligence (and thus AI). We can either build AI systems that give us a correct answer 95% of the time and we don't care how they got it, or we can build systems that have some sort of designed thinking (ie we understand our own thoughts and try and replicate th…
Hi, Author here. I think you make an excellent point. I think the revolution will start from small things where it is OK to make an error. Stuff like Siri does. Then it will move on to productivity tools or the like...where it is still OK to make a mistake. And A.I. will improve really fast, like the PC has improved. I think in 5-10 years we won't believe what we have accomplished. I think Siri crosses an important t…
[1]:http://www.quora.com/Why-is-machine-learning-used-heavily-fo...
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While I agree with you in principle, I feel like the conceptual use cases you're imagining implement current practices with basically a speech to text. What the author is suggesting is that it would be beyond this, skipping out the step where you determine how you do something, but instead telling Siri what you want to do. For example, with excel I'm not sure he envisaged something like "A5 is 20, A6 is 30" and so on…
Except Siri doesn't do anything of the kind. It would be trivial to build "take my taxes from this PDF and put them into a spreadsheet" into Siri (or indeed any speech recognition engine). But that would only be one more special case. The code is literally "if (recognizedText == "take my taxes from this PDF and put them into a spreadsheet"){writeExcelSheet(parsePDFTable("taxes.pdf"))} That's nice, but it is not AI.
a) I was under the impression Siri was doing some kind of semantic analysis rather than straight text recognition?
b) I just meant if we suspended disbelief and Siri was this magical AI tool it would do something like that, my second point is just that because we don't know what Siri can/will do it seems ridiculous to say it's going to change the world.
I totally agree with you, I'm just saying there are almost two separate discussions here, one being Siri and it's implementation, the other being the impact of AI on our lives. If Siri was the new AI, then these would be the same discussion, but as I don't think it is, it's not.
It's interesting that the Printing Press didn't make the list of previous revolutions, because I think this highlights two different ways of thinking about intelligence (and thus AI). We can either build AI systems that give us a correct answer 95% of the time and we don't care how they got it, or we can build systems that have some sort of designed thinking (ie we understand our own thoughts and try and replicate th…
How do you judge a new medicine? do you ask if does the correct things 100% of the time? or do you just want it to be better than the other drugs ? I think the same logic applies to other technologies: products generally have to pass the standard safety tests/level common in their industry, not be perfect. Will this too happen in AI ? maybe , but maybe due to political pressure , the standards require from AI will be…
But you're right in the general sense: there are other areas where we leave the interpretation of the AI (as it were) to experts and have no say in it ourselves. Road bridges would be the simplest example I can think of (given that the safety simulations are akin to a simple form of AI).