[unityByFreedom]

> There are forthcoming breakthroughs in humanity being an interstellar civilization. We just need to build faster-than-light engines and terraforming equipment. Nothing major, right?

Building a dataset is easy and not something you would compare to faster-than-light engines. Believe it or not, some major breakthroughs are held back by simple lack of funding, and lack of awareness.

To make a dataset you need to pay radiologists to label enough data for the system to do its job well. This could be thousands, or hundreds of thousands of images. It is technically speaking very doable, but also very expensive. Then there are data privacy issues stopping you from sharing data. These are social issues, not engineering issues.

[pdimitar]

Your reply, while overall correct, still underestimates the problem of "how do we invent AI?". Data-sets shouldn't be "tuned" or "refined" (tems I see in practically every "AI" article); if they need to be remade then the consumer is not only not AI -- it's not even a clever NN implementation.

Forgive my cynicism if you can, but in my eyes you guys just support what might make you money one day (or already does) and thus aren't objective. You're like the parents that are completely blind to their child's defects due to paternal / maternal hormones.

There's no AI on this planet. There are not even beginnings of an AI. Deep learning is practically a statistically biased classification algorithm and not much else.

To me the term AI is being abused. I want AI to exist, but I am seeing every indication that the area is falling victim to capitalistic interests and this won't change anytime soon.

[unityByFreedom]

> Your reply, while overall correct, still underestimates the problem of "how do we invent AI?"

I'm not talking about building a real AI.

I actually agree with you that we're nowhere near developing that. Not sure where you got any other idea from me.

I'm saying there are some machine learning problems that could be served by some simple data entry. This could save lives, including yours and mine, via advanced cancer detection [1]

You're right that since I studied data science, I'm incentivized to advertise its usefulness. But, I studied data science because I believe it is a growing part of our future.

You can try it yourself too. There are many tutorials online. Making use of machine learning gets easier every year.

[1] http://money.cnn.com/2015/03/12/technology/enlitic-technolog...

[pdimitar]

I would gladly take the time, if only I had some. :(

Thank you for your kind answer.