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FrankDrakman t1_ivfgi0j wrote

yes, I agree it's a delusion. The more data we have, the easier it is to find the patterns. The new data tools are so powerful, it's easy to winnow through fields of chaff to find a few grains of wheat. And don't be fooled by what's commercially available.

Ten years ago, I went to a conference where one of the speakers was describing how they had successfully used the Qlik BI tool to be able to extract opinions from natural speech.

For those not in the field, natural speech is extremely hard to catalog. For example, an old type of system might have read "Trump was not the best president", and because "best" and "president" and "Trump" were in the same sentence, the system would have concluded this is a favourable opinion, when clearly it is not. That's just a simple example; it gets much worse.

But this guy was able to show us that his company's product had overcome those limitations. When the Q&A came around, he was asked who was using it, and he gave us the standard "I'd tell you, but then I'd have to kill you" line. Except I don't think he was joking.

As I said, that was ten years ago. Data science advances by leaps and bounds each year. I'm pretty sanguine about our ability to keep up with the datums.

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Pm-me-ur-happysauce t1_ivhz691 wrote

Nlp - natural language processing was around 10 years ago. But not commonly used 15 years ago

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visarga t1_ivipogr wrote

In 2012 NLP was in its infancy. We were using recurrent neural nets called LSTMs but they could not handle long range contextual dependencies and were difficult to scale up.

In 2017 we got a breakthrough with the paper "Attention is all you need", suddenly long range context and fast/scalable learning was possible. By 2020 we got GPT-3, and in this year there are over 10 alternative models, some open sourced. They all trained on an amazing volume of text and exhibit signs of generality in their abilities. Today NLP can solve difficult problems, in code, math and natural language.

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FrankDrakman t1_ivjjg3h wrote

Yes, I agree the recent breakthroughs are staggering, and NLP is moving along rapidly. But my point still stands: this guy's firm had it working well in 2012, and it was being secretly used by the US government.

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visarga t1_ivkee3z wrote

I am sure he had something, but I don't believe it was comparable to what we have today. Lots of research has been done in the last 10 years.

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