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I'm in same boat, except now I have to deal with both this and blockchain. It's pretty clear to everyone pushing this is being dishonest. Sometimes I wonder if

I'm in same boat, except now I have to deal with both this and blockchain. It's pretty clear to everyone pushing this is being dishonest. Sometimes I wonder if they intentionally being dishonest or if they just don't know what they don't know. Very few people are doing useful true machine learning, and the applications are very specific with its own set of quirks. It's just to make some quick money and get out. What somehow is never being said with all this hype is that you need to hire good software devs to make a great solution to a problem. All these buzzword driven ideas tend to confuse a bunch of people and die out after wasting everyone's money. In my region I keep seeing a bunch of business suits pushing X idea being solved with Y with no justification or engineers behind them. Yesterday I have found out I have to have yet another meeting to explain why "blockchain" does not translate to a full solution given to a very superficial poorly thought out problem. The only reason I've had a voice in my region with all this noise is because I've made things people see that actually work.

empath75 8y ago
I work for a consultancy and I was brought in to talk about ‘our blockchain strategy’, because I was one of the few people at the company who actually read the white papers and had been invested in it. This was towards the end of the last bull run. I think they expected me to tell them to go all in on it, but I essentially said it was a bunch of bullshit hype and a solution in search of a problem and then I didn’t get invited to any more meetings. A few weeks later they announce we’re going to start selling block chain solutions right as the crypto market crashes. Meanwhile in the real world they can’t even figure out the basics like containers and Cicd which we’re actually dealing with in our actual contract.
raducu 8y ago
But this is normal with any new technology -- there used to be car movie places and people thought of putting miniature nuclear reactors in everyday appliances, it doesn't mean there's a car winter coming or a nuclear winter coming(pun intended). It's absolutely human nature to think of crazy ways of using things in new ways, probably most of those ways don't work out in the end.
sanxiyn 8y ago
> Very few people are doing useful true machine learning, and the applications are very specific with its own set of quirks. I worked on nudity detector in 2017. Deep learning works, and is useful. Although you are right it's very specific and quirky. I found "How HBO's Silicon Valley built Not Hotdog" article very interesting, because it's basically the same problem. They found MobileNet better than SqueezeNet and ELU better than ReLU. You know what? We found SqueezeNet better than MobileNet and ReLU better than ELU for our problem and data. Who know why. https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3 https://medium.com/@timanglade/how-hbos-silicon-valley-built...

empath75 8y ago

I work for a consultancy and I was brought in to talk about ‘our blockchain strategy’, because I was one of the few people at the company who actually read the white papers and had been invested in it. This was towards the end of the last bull run. I think they expected me to tell them to go all in on it, but I essentially said it was a bunch of bullshit hype and a solution in search of a problem and then I didn’t get invited to any more meetings. A few weeks later they announce we’re going to start selling block chain solutions right as the crypto market crashes. Meanwhile in the real world they can’t even figure out the basics like containers and Cicd which we’re actually dealing with in our actual contract.

raducu 8y ago

But this is normal with any new technology -- there used to be car movie places and people thought of putting miniature nuclear reactors in everyday appliances, it doesn't mean there's a car winter coming or a nuclear winter coming(pun intended). It's absolutely human nature to think of crazy ways of using things in new ways, probably most of those ways don't work out in the end.

sanxiyn 8y ago

> Very few people are doing useful true machine learning, and the applications are very specific with its own set of quirks. I worked on nudity detector in 2017. Deep learning works, and is useful. Although you are right it's very specific and quirky. I found "How HBO's Silicon Valley built Not Hotdog" article very interesting, because it's basically the same problem. They found MobileNet better than SqueezeNet and ELU better than ReLU. You know what? We found SqueezeNet better than MobileNet and ReLU better than ELU for our problem and data. Who know why. https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3 https://medium.com/@timanglade/how-hbos-silicon-valley-built...