From a48a620cc86bde0482edfb70226610fccb16e47d Mon Sep 17 00:00:00 2001 From: jrtechs Date: Sat, 16 Nov 2019 09:10:32 -0500 Subject: [PATCH] Added quick blog post on responsible optimization. --- .../posts/other/media/thompson-talk.jpg | Bin 0 -> 169163 bytes .../posts/other/responsible-optimization.md | 78 ++++++++++++++++++ 2 files changed, 78 insertions(+) create mode 100644 blogContent/posts/other/media/thompson-talk.jpg create mode 100644 blogContent/posts/other/responsible-optimization.md diff --git a/blogContent/posts/other/media/thompson-talk.jpg b/blogContent/posts/other/media/thompson-talk.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b8efbfe175145a14e7773f5f4e48b84980264acd GIT binary patch literal 169163 zcmb@tcT`hR(>IzxD4~~tN|6Ae3(~8!(2~$YK#C|JEkNi+K$NQV5&}qX2@nuOq$3Il zN)bzFQl$w30!md7z4(6XxzG2|bVP&&)1sWuG}ae?R?Q0{9r*!MXzg zrltT%002M_paB8^pmTIyQTG6W|2J+0asa6Rhkq^s$^)p*G330U9%BEa1Gstq9Uw0& zr=~6^r!J=ql~q%hRaRG${l`A1zl#7ilp)d(aBlY8{`u|iGL<+|Pw$om+T0LnV(>o# zs*C@0sn`GjoNsU-+6WG{wX=u*p6ya{4adxA9nd)IQ1V6#Gv)gb;{1MxX1s7UH&&57VIB1*uWio@A0P;T1{eY0=lK6u`tNx9RR930hvze$ z`Cpz(J^;{`003N^`7aMv1^}?e0|2e>{hb4y|0kG#YlO=EeC6y_0|3l+008F)0D!^a zKY{+Y?SJRu|DmtY^EQ0v{q#HkcmR9=ZU86%3GfBn2FRQvd4McH4xs#Z7N7^9rlR_H zofGK%qM@gu0fA^3=;&zanHZRu7#SEDnOQj4m|56a7#Z2P+1NQDTwGjCtQRhFLoRYa zxFG+G0IAR0fM~!pG++obBQxaxGyUxWu+vkwQuj~;g#c9SKx%g2-+sX5^G?tK&*?t{ za6X?@=P}aK(SsSz<)&-^;J?7BsA*|{bksm9)^jmC03=AmAxEog$>~fd6hIG=kI5?M z5{5tR{m2bdKrem&als`}L{Bj&7O$jlbvy22Mbk4egUWMryg&f;KX3nacWw^w&)vE3 zDm#FR3J3y%sQwZ4KOGCGWLXywGpA zc~!>%gv+9X6i^q^u84SIBloTW*9_=v850QkNCwWCQuM1Ndbm@9ySQSs?99!G4c*sg z%EM*gd^QEM6byk}QNQ5&vA#vkKS9I*#!peu8vkM64X;SO1WN@%qHkkyRTOkqD=YOI zNL3+7y!SO7g}{9YrHjyLq=)3}%;l^?@K8R1h}UIVZTOj`4H#5RG#w|>m<$pIt;-og*vgeK+HVDOSnhBt6{~#EjZ>?i$Uqnu(a7ZS^5%hsmFJ3eLN^@ zdN|t^@U&6zk%eWP!sUtAPn0x9E&Cl8ymlP9_-3}_`P^Wk9HtJ~nh!6&tz5;f8$3tr z9^$e$l^X-v<37(kVY5;UE4{dLh)Icz6s(qKO3AbC1l{4U%|?6Igd|*;xKocFD5IS< z=(~*<@@TKl`Y_b-^bptJFrJTK)W!L?xVRFJOC}TyK5A{QRLn^~^nh^)T6?{q%8ts9 zbd=edKkV>juKc)nC8Nm9X%vggU8{B<9B)2wl(yPbC&a5l_ce#=mS=mb(&nE<#Ny2+ zs=wHQfUxxChAYj6lYQO1X~}3;#XnS0Rpi#B(V7Fdk00wd4XPE7W6?QC=OJB-?~#|i z>^7Es_h`nXJe3=D15_FKSFP9QZZ+znr$4zC56ROX36a_wYA5^Eg1_RD=BgH;N&5wI z-_kndyIJPsSLuce?7-5}@_3Ep7Vg&f>KT6lh5fiE)^}YfV0$tsL{$#%Dj;hmbfOFV<@;{mHAI z6B}~{Q~yd&+cXQxwr_0~#TB7AmfCUpoOE9@*lmP9K}2NW#3BJM?sd}xN1UlTvDU+9 z*(Fv1HaqPw16VN?gi40Sd~T+c*z8$@B?Ih~*xSZmnO#UeQ#iXFgMOLSLBmRu)i)zCIsJbP#jQ`oXt9t*D#UYF4NV5EDwu7aED)Am=o9- z*pEO4hqnl#LN(yvf1+zembr1Ov*n3~ zgNDvgod_5Ad#KJ@YMHpsc2XVbNZ8dON@ix-KsUbLpL6pH@;BMIaiMkIc|f*Vyw}`c zUmsI}VSV&k{EUkOA?qPjgNNHOX|2$MLquHfqm9Hi^e0AG%cb;U-Ie*+!dEt|@H23* z#gKyKLSsvNh)nK-B{t$>Mg-C8C)b`-IJykXx14%4@EE{gK0;Ngc)2ZPJda~v;#cfM zEGS?Xb=$hdK9*w>Y{C)0cQ3~xTL%-J%}z_dXqmuFqJgf5F1@GJu~bHeb=ZVPqA|*< zC((ePLTSqO*=sUSsFAjr(iG4eY(>t4#|8VNip9I?1n5QHL@t^$v&p5t5gczjl5Pws zsK4x9 z#^3tK`ATvO66pRuGxJz4f$wkZMxT}Q>TloFP5(?%9~}btA&>&ZN#^ueS2Y+wp6>o| zoYADtO-iQzI^+o&ZmoS4mi{_#lm8*zqfu(`AqUSH38DlssZf+Px~^dxlPbLb(^<674r0w}8~RHGE?1FvTlV-iC3nB4q3nz8$NCq~8Z zYgs-+@R7oD_HV7dCDhfM+p$o^M{i)JNVnC_9<&W4TIep1t(_!$&+EIBPs(MwE_s-= z>LuNr-~3h$mMf){U?p&pU=yw|DmkR2&37u-Fp~H-j9RRxqSAHNVu&@yFC#`pw;SS~=JgK)Xc3E1%xp;i zL0R)v??;>W1tRW!B+2wq)-BLl=*CAT`NF5yHKzW2JlWnGAB|(eZcE7XA*5~`rB671 z)_aWhAR5ak(tZVB7tsf3?qed}I|d({wXT0YjKo9)DwBFDwRLZzySGZpHt8(t9V|OL zz3#cEkifHZaBNDk(B#QsWwjRELPf*pdk#lr!sQ@c<31@S=FqUTux){{BNmBn^>j*0Z>bEW8$?wdS4K?S9xYQhzO>Y01BO?Xo=UF{!

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code that nobody +understands and is hard to maintain. To my pleasant surprise, Clive +Thompson provided a nuanced discussion around the cultural problems +created when we try to optimize every problem using technology. + +![Clive Thompson](media/thompson-talk.jpg) + +To understand Clive’s point, he used Facebook as a prime example of +this problem. Before the Facebook feed system, the web largely acted +like a blog where people had to actively reach out to everyone’s page +to get content. Right after Facebook implemented the feed system there +was a big debacle where nearly 20% of Facebook users entered a +Facebook group opposed the new feed system. For nearly a week there +were student protesters outside of the Facebook office. People +initially found the feed system creepy because it gave everyone +ambient awareness of everything happening in their network; this in +some regards decreased “anonymity”. You no longer had to go out to +every one’s page, Facebook created a tailored newspaper for you to +consume. As a result of the new feed system, people started producing +a lot more content to put on social media sites since people consumed +it immediately. To filter content and only provide people with +“important” posts, Facebook employed machine learning algorithms which +favored posts that get more clicks. It turns out that people are very +likely to click on things that are highly emotional or +controversial--machine learning algorithms were quick to learn this +and favor controversial content. People started to play the algorithm +and turn Facebook into a hot take tire fire as it get littered with +absurd conspiracy theories like #Pizzagate. Facebook’s motto used to +be “move fast and break things”, however, after Zuckerburg was +lambasted in front of congress, that motto is slowly changing. + + +Facebook like many tech companies creddits it’s major success to +optimizing a sometimes niche problem -- this is something that +programmers love to do and computers are perfect at. Facebook +optimized how people consume media, but they did it at the detriment +of quality content. Youtube tremendously optimized how we view videos +by suggesting us recommended videos to watch, but, if often suggests +repulsive content. Uber optimized how people found rides, but it +resulted in an influx of part time drivers that are slowly pushing out +full time drivers. This is not to say that optimization is a bad +thing. As a result of optimizing tasks we can save a tremendous amount +of time and be more productive members of society. Thompson suggests +that there are certain cases where we should slow down and add +friction to cases that we initially see the need to optimize. +Reflection and deliberation are important things that are often thrown +to the wind when we optimize things. + + +This now begs the question: how do we do we solve these issues? This +is something that Thompson didn’t discuss in depth nor had a great +answer for. We could point our fingers at governments, companies, or +consumers and tell them to solve the problem. Surely having the +government enact some well constructed public policy based on the +current policy environment would solve the issues… right? The problem +in the age of big data is that things are changing at a rapid pace and +by the time we realize the dangers of a particular issue, it may have +already caused grave damages or morphed into another form. Look at +gambling for example, we have had decades of laws and regulations +surrounding underage gambling, however, online gambling issues has +been consistently creeping its way into policy discussion over the +last five. It is fascinating that most public policy generated in the +technology field is actually created in the court systems. This is +good in the sense that the court system is often faster than passing a +new law, but, it is also very problematic. Old laws when used to +interpret a nuanced technological problem often yields outcomes that +the original authors of the law would possibly disagree with. + + +Although Thompson’s talk raises more questions and problems than +tangible easy to implement solutions, we must start having discussions +like this so we can enact a cultural change around how we approach +optimization tasks. Adding back careful reflection and deliberation +back to currently optimized tasks on the internet could give us more +freedom over how we consume content and interact with the world.