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Yann LeCun on a MIT Tech Review article that is all hype

140 点作者 bmease大约 10 年前

5 条评论

pvsnp大约 10 年前
This is a great response and I wish more scientists held publications accountable to their reporting. MIT Tech Review, Popular Science and Mechanics are read by a lot of people -- both literate in the your discipline and not, it&#x27;s worthwhile to point the more nuanced view than what a 1000 word magazine article can point out. I&#x27;ve personally found reporting by ArsTechnica on recent security issues a good model. Wired occasionally comes through but has similar problems like this. Nautilus has its own biases but in general is good. I don&#x27;t think bad reporting in these cases is necessarily out of malice but the lack of background on reporter&#x27;s side on your field. And, perhaps sheer laziness. Remember when you procrastinated on writing that long overdue paper, I&#x27;d imagine reporters aren&#x27;t immune to that too ;)<p>Convolutional Neural Nets are getting to a hype-level that I find pretty scary. We don&#x27;t want another AI winter because people expect way too much too early without understanding the domain, only to lead to receeded interest in the field. Honest evaluation and crediting is invaluable to ensuring that.<p>Also --&gt; What if there were a &quot;rapgenius&quot; for paper&#x2F;article reviews where these comments from trusted sources can be curated and commented on? Not sure about viability, etc.. but could be interesting.
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_delirium大约 10 年前
MIT Tech Review sort of has a reputation for doing this.
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gohrt大约 10 年前
More interesting than a debunking of yet another hype linkbait article from MIT Tech Review, is that someone posted on Facebook a citation of his own 22-year old prior art.<p>Something about the Facebook backdrop makes that academic smackdown all the more special.
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shon大约 10 年前
Shameless tangential plug: Nicolas Vasilache from The Facebook AI Research group (Yann LeCun&#x27;s team) is speaking next month at <a href="http://MLconf.com" rel="nofollow">http:&#x2F;&#x2F;MLconf.com</a> in NYC. We will be livestreaming the event for free. Watch @mlconf on 3&#x2F;27 for the livestream link. If you would like to attend in person use discount code MLML for a discount.<p>*FULL DISCLOSURE: This is my event
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seesomesense大约 10 年前
&quot; MIT Tech Review, Popular Science and Mechanics are read by a lot of people&quot;<p>And the audience for all of them tends to want form over substance. That is why the quality in those magazines is so abyssmal.