Confession of a so-called AI expert
huyenchip.com
Confession of a so-called AI expert
1–10 of 102 posts
Re: Confession of a so-called AI expert
#2The article is an interesting mix of imposter syndrome and bubble speculation. I guess a good question is: if you know you're in a bubble and you feel like an imposter, are you right?
Re: Confession of a so-called AI expert
#3> Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst.
I don't think it will. Level off - maybe.
I've started my work in Computer Vision with classical algorithms (SIFT features, geometry, correlation filters and things alike people were researching for decades). These really worked like garbage, it was a nightmare.
Then we jumped on DL bandwagon - and CV just clicked for me. Now I see it working, not perfectly, not at human level yet, but it works, it's better than everything else and it certainly brings value - not just in CV! Maybe there will be some expectations delayed or even ruined (AGI, fully self-driving cars, dunno), but the tech isn't going anywhere.
At it requires at least some experience and a specific mindset, slightly unusual for a generic programmer. So I don't see a problem with experts, courses, degrees and the like.
Re: Confession of a so-called AI expert
#4> Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst. I don't think it will. Level off - maybe. I've started my work in Computer Vision with classical algorithms (SIFT features, geometry, correlation filters and things alike people were researching for decades). These really worked like garbage, it was a nightmare. Then we jumped on DL bandwagon - and CV just clicked fo…
Computer vision is the part of DL that is most suited to produce economic value. CV will be worth trillions of dollars in a couple of decades. All those cars, drones, agricultural equipment, medical scanners, robots and security cameras will be able to understand what they see and act intelligently. It's like the most universally useful thing since the invention of the wheel.
Re: Confession of a so-called AI expert
#5Is it really a bubble if it's producing real value?
The answer is yes. Bubbles are investment and financial entities, decoupled from the value the sector is producing, and a bubble burst can indeed destroy real value.
So AI being in a bubble says nothing about whether AI is valuable.
Re: Confession of a so-called AI expert
#6Is it really a bubble if it's producing real value? The answer is yes. Bubbles are investment and financial entities, decoupled from the value the sector is producing, and a bubble burst can indeed destroy real value. So AI being in a bubble says nothing about whether AI is valuable.
It's not really a bubble from the financial risk perspective if there isn't a way to "correct" or collapse it.
Machine Learning is a feature set inside an application inside a market. It's not an industry of it's own where massive swaths of an industry place their money or livelihoods, like e-commerce or derivatives.
So in that sense there isn't any bubble to burst. The majority of ML applications are happening INSIDE massive technology companies, not as stand alone companies. Even then, the stand alone companies have a product that they are selling that ML functions with. So SaaS with ML, or Image Captioning or Translation service etc...
Re: Confession of a so-called AI expert
#7> Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst. I don't think it will. Level off - maybe. I've started my work in Computer Vision with classical algorithms (SIFT features, geometry, correlation filters and things alike people were researching for decades). These really worked like garbage, it was a nightmare. Then we jumped on DL bandwagon - and CV just clicked fo…
> not at human level yet
Not even at insect level yet. There's no doubt things will improve, and there's already great value, but I hate calling ML "AI". It's been over 70 years of ML research (specifically neural networks) and I don't know how long it's going to take to reach insect-level behavior (which is still far from basic intelligence) let alone so-called AGI (which, BTW, people in the '50s were certain is just around the corner), even though I think we'll get there eventually. We'd better stop using the term "AI" to mean anything other than a field of research or an aspiration, and definitely stop using it to describe existing software.
Re: Confession of a so-called AI expert
#8> Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst. I don't think it will. Level off - maybe. I've started my work in Computer Vision with classical algorithms (SIFT features, geometry, correlation filters and things alike people were researching for decades). These really worked like garbage, it was a nightmare. Then we jumped on DL bandwagon - and CV just clicked fo…
Pattern matching is the one thing DL is good for. Which is why it's a good match for CV. Calling DL AI in the first place was a mistake or at least over zealous marketing.
Playing go or chess or matching patterns are all things intelligent begins can do but that does not imply that doing those thing means you are intelligent.
Re: Confession of a so-called AI expert
#9Well, I can understand why the author would come to this conclusion. A 3rd-year undergrad being called by companies and VCs for insight? I'm impressed by the author but disdainful of these solicitors. It reflects poorly on them. To me they seem like people who don't understand what's happening but are anxious not to miss out on a new wave of get-rich-quick schemes.
Like other commenters have mentioned, largely due to misbranding and sensational media hype. Fearmongering from people like Elon Musk hasn't helped. But the key impact of machine learning for me is to make better and more efficient decisions that are informed by data - and that is not going to go away.
Re: Confession of a so-called AI expert
#10> Even though I’m one of the beneficiary of this AI craze, I can’t help but thinking this will burst. I don't think it will. Level off - maybe. I've started my work in Computer Vision with classical algorithms (SIFT features, geometry, correlation filters and things alike people were researching for decades). These really worked like garbage, it was a nightmare. Then we jumped on DL bandwagon - and CV just clicked fo…
I don't think it will. Level off - maybe.