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(Ab)using general search algorithms on dynamic optimization problems (2023)

63 点作者 h45x13 个月前
I wrote this blog back in 2023 but since then I became a frequent lurker on HN and decided to repost the blog here. For me, writing it was about connecting the dots between dynamic optimization techniques I've studied as an economist and the more general search algorithms studied in CS.

3 条评论

joe_the_user3 个月前
Related: a few years ago, various people were exploring locality sensitive hashing as an alternative to neural networks(SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems [1]).<p>This never took off. I don&#x27;t if it didn&#x27;t work or it was a matter of the &quot;bitter lesson&quot; ideology pushing people to <i>prefer</i> hardware acceleration <i>over</i> smart algorithms. I would note that smart algorithms require hiring (more)smart people and not only can hardware acceleration be cheaper but hardware and data can be more reliably added than smart people, who are short supply.<p>[1]: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1903.03129" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1903.03129</a>
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MeteorMarc3 个月前
Beautiful animations!Alsof works on mobile.
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pvg3 个月前
Show HN is for things you&#x27;ve made others can try which excludes blog posts, take al look at <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;showhn.html">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;showhn.html</a><p>You can just take Show HN out of the title, though or repost without it.
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