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This AI Boom Will Also Bust

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Re: This AI Boom Will Also Bust

#71

Post by joe_the_user »

kristjankalm wrote: post #30
IIIIIII wrote: post #13

Earlier quoted context omitted.

Saying that linear regression is easier to do properly than more complex methods like random forests, DL, boosting etc is like saying that people should code assembly instead of python

This is a false dichotomy. Both OLS regression and, say, random decision forest regression have the same objective (predict values) and achieve it with similar means (build a generative model / function). They solve the same problem. Contrastingly, assembler and python are broadly aimed at completely different use cases. Broadly, whether you should move from OLS to random forest regression = SNR increase / increase i…

Technically, it is an incorrect analogy not a false dichotomy. A false dichotomy means an incorrect assertion that you have to choose X or Y in a situation.

The GP compares python-vs-assembler and random forests-vs-linear-regression but the analogy breaks because python produces assembler and increases the programmer's general certainty concerning what they are doing. Random forests don't make their user more certain of the results as an application. Basically, Python is a relatively "unleaky" abstraction whereas complex AI algorithms a very "leaky" abstractions.

Re: This AI Boom Will Also Bust

#72

Post by hindsightbias »

jondubois wrote: post #40

Journalists and investors only seem to get excited about buzzwords - Maybe that's because they don't actually understand technology. To say that technology is like an iceberg is a major understatement. The buzzwords which tech journalists, tech investors and even tech recruiters use to make decisions are shallow and meaningless. I spoke to a tech recruiter before and he told me that the way recruiters qualify resumes…

Perhaps an AI Recruiter is in order.

Re: This AI Boom Will Also Bust

#73

Post by bonoboTP »

throw_away_777 wrote: post #65
cardine wrote: post #20

Earlier quoted context omitted.

> AI helps provide good analysis without having to cleaning up data manually. My own experience has shown that dirty data impacts advanced AI just as much as it impacts far more basic ML techniques. Even for the most advanced AI we work on, we spend just as much time worrying about clean data as we do anything else.

When you say "clean data", what exactly do you mean? I've often seen this claim that cleaning data takes a lot of time, but it seems like an ill-defined term.

It can mean different things.

In general: duplicate data, missing fields, different formats for different parts of the data, inconsistent naming schemes

For text: character encodings, special symbols, escape characters, punctuation, extra or missing spaces and newlines, capitalization

For images: different sizes, rotations, crops, blurry images

For numbers: inconsistent decimal point/comma, outliers with obviously nonsense values or zeros, values in different units of measurement etc.

Re: This AI Boom Will Also Bust

#75

Post by ffwd »

rampage101 wrote: post #23

The more I get into machine learning and deep learning it seems like there is an incredible amount of configuration to get some decent results. Cleaning and storing the data takes a long time. And then you need to figure out exactly what you want to predict. If you predict some feature with any sort of error in your process the entire results will be flawed. There are a few very nice applications of the AI techniques…

> In the real world, most things are in a maybe state rather than yes/no.

Not to get too far afield, but I disagree with this on a certain philosophical level. All states are yes/no. All states of all things should result in a yes/no and be differentiable, with enough data. This doesn't speak to the practicality of that but as far as I can tell the theoretical potential is huge, almost infinite even.

Re: This AI Boom Will Also Bust

#76

Post by saghm »

IIIIIII wrote: post #13
jeyoor wrote: post #5

This article matches what I've been seeing anecdotally (especially at smaller tech firms and universities in the Midwest US). I've been hearing more folks in research and industry express the importance of applying simpler techniques (like linear regression and decision trees) before reaching for the latest state-of-the-art approach. See also this response to the author's tweet on the subject: https://twitter.com/and…

Saying that linear regression is easier to do properly than more complex methods like random forests, DL, boosting etc is like saying that people should code assembly instead of python

This seems to be implying that it's easier to code in assembly than Python, which I'd disagree with

Re: This AI Boom Will Also Bust

#77

Post by h43k3r »

petra wrote: post #56
jroes wrote: post #42

Earlier quoted context omitted.

I have tried it. I owned a PSVR for a month and tried everything available. It was a pretty incredible experience, more immersive than I expected for sure. Most of my family and friends had a great time with it as well. Ultimately, however, I resold it after a month. There are too few interesting full games available. Nearly every game is mostly a short trial, and most of the games are also very experimental and unin…

What about nature based apps, for coming after work, and just relaxing a bit in nature ? do they give a similar feeling of going into a beach, etc ?

I love that idea but I think we should be more social in person than electronically. I would better go out with someone on a run or a walk than this but again I would love that for sometime

Re: This AI Boom Will Also Bust

#79

Post by tootie »

thesimpsons1022 wrote: post #29
h43k3r wrote: post #28

A little off topic but I think the VR boom will bust much more sooner than AI. I can't think of normal people wearing those heavy gears in their normal life. There will be its use cases in specialized applications like education, industry, games but I don't think it will get popular like an iPhone. AR is still OK since it augments real life but there is a long way before it will become mainstream.

have you tried it? i own an oculus and every family member i've seen has been shocked and loved it. Obviously the oculus is prohibitively expensive but with the release of Playstation VR i think the mainstream is poised to adopt it. I really believe the next game consoles that come out will simply be vr headsets

It's a novelty act right now. Like Google glass. The tech is incredible, but thus far no one has found a valuable application besides games.
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