the ai revolution_ road to superintelligence - wait but why

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By Tim Urban The AI Revolution: The Road to Superintelligence Note: The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me pretty quickly that what’s happening in the world of AI is not just an important topic, but by far THE most important topic for our future. So I wanted to learn as much as I could about it, and once I did that, I wanted to make sure I wrote a post that really explained this whole situation and why it matters so much. Not shockingly, that became outrageously long, so I broke it into two parts. This is Part 1—Part 2 is here. _______________ We are on the edge of change comparable to the rise of human life on Earth. — Vernor Vinge What does it feel like to stand here? It seems like a pretty intense place to be standing—but then you have to remember something about what it’s like to stand on a time graph: you can’t see what’s to your right. So here’s how it actually feels to stand there: Join 121,034 other humans and have our weekly post emailed to you Email Address Popular Posts Random Post Why Generation Y Yuppies Are Unhappy 1,099 Why Procrastinators Procrastinate 460 The Fermi Paradox 683 7 Ways To Be Insufferable On Facebook 593 SEND ME NEW POSTS 193,559 Like WBW On Facebook 24,970 Follow WBW On Twitter 712k Like 206k Like 215k Like 312k Like about archive minis the shed dinner table store support wbw Search

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  • 4/14/2015 TheAIRevolution:RoadtoSuperintelligenceWaitButWhy

    http://waitbutwhy.com/2015/01/artificialintelligencerevolution1.html 1/26

    ByTimUrban

    TheAIRevolution:TheRoadtoSuperintelligence

    Note:ThereasonthisposttookthreeweekstofinishisthatasIdugintoresearchonArtificialIntelligence,IcouldnotbelievewhatIwasreading.IthitmeprettyquicklythatwhatshappeningintheworldofAIisnotjustanimportanttopic,butbyfarTHEmostimportanttopicforourfuture.SoIwantedtolearnasmuchasIcouldaboutit,andonceIdidthat,IwantedtomakesureIwroteapostthatreallyexplainedthiswholesituationandwhyitmatterssomuch.Notshockingly,thatbecameoutrageouslylong,soIbrokeitintotwoparts.ThisisPart1Part2ishere.

    _______________

    WeareontheedgeofchangecomparabletotheriseofhumanlifeonEarth.VernorVinge

    Whatdoesitfeelliketostandhere?

    Itseemslikeaprettyintenseplacetobestandingbutthenyouhavetoremembersomethingaboutwhatitsliketostandonatimegraph:youcantseewhatstoyourright.Sohereshowitactuallyfeelstostandthere:

    Join121,034otherhumansandhaveourweeklypostemailedto

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    Whichprobablyfeelsprettynormal

    _______________

    TheFarFutureComingSoonImaginetakingatimemachinebackto1750atimewhentheworldwasinapermanentpoweroutage,long-distancecommunicationmeanteitheryellingloudlyorfiringacannonintheair,andalltransportationranonhay.Whenyougetthere,youretrieveadude,bringhimto2015,andthenwalkhimaroundandwatchhimreacttoeverything.Itsimpossibleforustounderstandwhatitwouldbelikeforhimtoseeshinycapsulesracingbyonahighway,talktopeoplewhohadbeenontheothersideoftheoceanearlierintheday,watchsportsthatwerebeingplayed1,000milesaway,hearamusicalperformancethathappened50yearsago,andplaywithmymagicalwizardrectanglethathecouldusetocaptureareal-lifeimageorrecordalivingmoment,generateamapwithaparanormalmovingbluedotthatshowshimwhereheis,lookatsomeonesfaceandchatwiththemeventhoughtheyreontheothersideofthecountry,andworldsofotherinconceivablesorcery.ThisisallbeforeyoushowhimtheinternetorexplainthingsliketheInternationalSpaceStation,theLargeHadronCollider,nuclearweapons,orgeneralrelativity.

    Thisexperienceforhimwouldntbesurprisingorshockingorevenmind-blowingthosewordsarentbigenough.Hemightactuallydie.

    Butherestheinterestingthingifhethenwentbackto1750andgotjealousthatwegottoseehisreactionanddecidedhewantedtotrythesamething,hedtakethetimemachineandgobackthesamedistance,getsomeonefromaroundtheyear1500,bringhimto1750,andshowhimeverything.Andthe1500guywouldbeshockedbyalotofthingsbuthewouldntdie.Itwouldbefarlessofaninsaneexperienceforhim,becausewhile1500and1750wereverydifferent,theyweremuchlessdifferentthan1750to2015.The1500guywouldlearnsomemind-bendingshitaboutspaceandphysics,hedbeimpressedwithhowcommittedEuropeturnedouttobewiththatnewimperialismfad,andhedhavetodosomemajorrevisionsofhisworldmapconception.Butwatchingeverydaylifegobyin1750transportation,communication,etc.definitelywouldntmakehimdie.

    No,inorderforthe1750guytohaveasmuchfunaswehadwithhim,hedhavetogomuchfartherbackmaybeallthewaybacktoabout12,000BC,beforetheFirstAgriculturalRevolutiongaverisetothefirstcitiesandtotheconceptofcivilization.Ifsomeonefromapurelyhunter-gathererworldfromatimewhenhumanswere,moreorless,justanotheranimalspeciessawthevasthumanempiresof1750withtheirtoweringchurches,theirocean-crossingships,theirconceptofbeinginside,andtheirenormousmountainofcollective,accumulatedhumanknowledgeanddiscoveryhedlikelydie.

    Andthenwhatif,afterdying,hegotjealousandwantedtodothesamething.Ifhewentback12,000yearsto24,000BCandgotaguyandbroughthimto12,000BC,hedshowtheguyeverythingandtheguywouldbelike,Okaywhatsyourpointwhocares.Forthe12,000BCguytohavethesamefun,hedhavetogobackover100,000yearsandgetsomeonehecouldshowfireandlanguagetoforthefirsttime.

    Inorderforsomeonetobetransportedintothefutureanddiefromthelevelofshocktheydexperience,theyhavetogoenoughyearsaheadthatadielevelofprogress,oraDieProgressUnit

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  • 4/14/2015 TheAIRevolution:RoadtoSuperintelligenceWaitButWhy

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    (DPU)hasbeenachieved.SoaDPUtookover100,000yearsinhunter-gatherertimes,butatthepost-AgriculturalRevolutionrate,itonlytookabout12,000years.Thepost-IndustrialRevolutionworldhasmovedsoquicklythata1750persononlyneedstogoforwardacouplehundredyearsforaDPUtohavehappened.

    ThispatternhumanprogressmovingquickerandquickerastimegoesoniswhatfuturistRayKurzweilcallshumanhistorysLawofAcceleratingReturns.Thishappensbecausemoreadvancedsocietieshavetheabilitytoprogressatafasterratethanlessadvancedsocietiesbecausetheyremoreadvanced.19thcenturyhumanityknewmoreandhadbettertechnologythan15thcenturyhumanity,soitsnosurprisethathumanitymadefarmoreadvancesinthe19thcenturythaninthe15thcentury15thcenturyhumanitywasnomatchfor19thcenturyhumanity.

    Thisworksonsmallerscalestoo.ThemovieBacktotheFuturecameoutin1985,andthepasttookplacein1955.Inthemovie,whenMichaelJ.Foxwentbackto1955,hewascaughtoff-guardbythenewnessofTVs,thepricesofsoda,thelackofloveforshrillelectricguitar,andthevariationinslang.Itwasadifferentworld,yesbutifthemovieweremadetodayandthepasttookplacein1985,themoviecouldhavehadmuchmorefunwithmuchbiggerdifferences.Thecharacterwouldbeinatimebeforepersonalcomputers,internet,orcellphonestodaysMartyMcFly,ateenagerborninthelate90s,wouldbemuchmoreoutofplacein1985thanthemoviesMartyMcFlywasin1955.

    ThisisforthesamereasonwejustdiscussedtheLawofAcceleratingReturns.Theaveragerateofadvancementbetween1985and2015washigherthantheratebetween1955and1985becausetheformerwasamoreadvancedworldsomuchmorechangehappenedinthemostrecent30yearsthanintheprior30.

    Soadvancesaregettingbiggerandbiggerandhappeningmoreandmorequickly.Thissuggestssomeprettyintensethingsaboutourfuture,right?

    Kurzweilsuggeststhattheprogressoftheentire20thcenturywouldhavebeenachievedinonly20yearsattherateofadvancementintheyear2000inotherwords,by2000,therateofprogresswasfivetimesfasterthantheaveragerateofprogressduringthe20thcentury.Hebelievesanother20thcenturysworthofprogresshappenedbetween2000and2014andthatanother20thcenturysworthofprogresswillhappenby2021,inonlysevenyears.Acoupledecadeslater,hebelievesa20thcenturysworthofprogresswillhappenmultipletimesinthesameyear,andevenlater,inlessthanonemonth.Allinall,becauseoftheLawofAcceleratingReturns,Kurzweilbelievesthatthe21stcenturywillachieve1,000timestheprogressofthe20thcentury.

    IfKurzweilandotherswhoagreewithhimarecorrect,thenwemaybeasblownawayby2030asour1750guywasby2015i.e.thenextDPUmightonlytakeacoupledecadesandtheworldin2050mightbesovastlydifferentthantodaysworldthatwewouldbarelyrecognizeit.

    Thisisntsciencefiction.ItswhatmanyscientistssmarterandmoreknowledgeablethanyouorIfirmlybelieveandifyoulookathistory,itswhatweshouldlogicallypredict.

    Sothenwhy,whenyouhearmesaysomethingliketheworld35yearsfromnowmightbetotallyunrecognizable,areyouthinking,Cool.butnahhhhhhh?Threereasonswereskepticalofoutlandishforecastsofthefuture:

    1)Whenitcomestohistory,wethinkinstraightlines.Whenweimaginetheprogressofthenext30years,welookbacktotheprogressoftheprevious30asanindicatorofhowmuchwilllikelyhappen.Whenwethinkabouttheextenttowhichtheworldwillchangeinthe21stcentury,wejusttakethe20thcenturyprogressandaddittotheyear2000.Thiswasthesamemistakeour1750guymadewhenhegotsomeonefrom1500andexpectedtoblowhismindasmuchashisownwasblowngoingthesamedistanceahead.Itsmostintuitiveforustothinklinearly,whenweshouldbethinkingexponentially.Ifsomeoneisbeingmorecleveraboutit,theymightpredicttheadvancesofthenext30yearsnotbylookingattheprevious30years,butbytakingthecurrentrateofprogressandjudgingbasedonthat.Theydbemoreaccurate,butstillwayoff.Inordertothinkaboutthefuturecorrectly,youneedtoimaginethingsmovingatamuchfasterratethantheyremovingnow.

    openthese1 1

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    2)Thetrajectoryofveryrecenthistoryoftentellsadistortedstory.First,evenasteepexponentialcurveseemslinearwhenyouonlylookatatinysliceofit,thesamewayifyoulookatalittlesegmentofahugecircleupclose,itlooksalmostlikeastraightline.Second,exponentialgrowthisnttotallysmoothanduniform.KurzweilexplainsthatprogresshappensinS-curves:

    AnSiscreatedbythewaveofprogresswhenanewparadigmsweepstheworld.Thecurvegoesthroughthreephases:

    1.Slowgrowth(theearlyphaseofexponentialgrowth)2.Rapidgrowth(thelate,explosivephaseofexponentialgrowth)3.Alevelingoffastheparticularparadigmmatures

    Ifyoulookonlyatveryrecenthistory,thepartoftheS-curveyoureonatthemomentcanobscureyourperceptionofhowfastthingsareadvancing.Thechunkoftimebetween1995and2007sawtheexplosionoftheinternet,theintroductionofMicrosoft,Google,andFacebookintothepublicconsciousness,thebirthofsocialnetworking,andtheintroductionofcellphonesandthensmartphones.ThatwasPhase2:thegrowthspurtpartoftheS.But2008to2015hasbeenlessgroundbreaking,atleastonthetechnologicalfront.Someonethinkingaboutthefuturetodaymightexaminethelastfewyearstogaugethecurrentrateofadvancement,butthatsmissingthebiggerpicture.Infact,anew,hugePhase2growthspurtmightbebrewingrightnow.

    3)Ourownexperiencemakesusstubbornoldmenaboutthefuture.Webaseourideasabouttheworldonourpersonalexperience,andthatexperiencehasingrainedtherateofgrowthoftherecentpastinourheadsasthewaythingshappen.Werealsolimitedbyourimagination,whichtakesourexperienceandusesittoconjurefuturepredictionsbutoften,whatweknowsimplydoesntgiveusthetoolstothinkaccuratelyaboutthefuture. Whenwehearapredictionaboutthefuturethat

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    contradictsourexperience-basednotionofhowthingswork,ourinstinctisthatthepredictionmustbenaive.IfItellyou,laterinthispost,thatyoumaylivetobe150,or250,ornotdieatall,yourinstinctwillbe,ThatsstupidiftheresonethingIknowfromhistory,itsthateverybodydies.Andyes,nooneinthepasthasnotdied.Butnooneflewairplanesbeforeairplaneswereinventedeither.

    Sowhilenahhhhhmightfeelrightasyoureadthispost,itsprobablyactuallywrong.Thefactis,ifwerebeingtrulylogicalandexpectinghistoricalpatternstocontinue,weshouldconcludethatmuch,much,muchmoreshouldchangeinthecomingdecadesthanweintuitivelyexpect.Logicalsosuggeststhatifthemostadvancedspeciesonaplanetkeepsmakinglargerandlargerleapsforwardatanever-fasterrate,atsomepoint,theyllmakealeapsogreatthatitcompletelyalterslifeastheyknowitandtheperceptiontheyhaveofwhatitmeanstobeahumankindoflikehowevolutionkeptmakinggreatleapstowardintelligenceuntilfinallyitmadesuchalargeleaptothehumanbeingthatitcompletelyalteredwhatitmeantforanycreaturetoliveonplanetEarth.Andifyouspendsometimereadingaboutwhatsgoingontodayinscienceandtechnology,youstarttoseealotofsignsquietlyhintingthatlifeaswecurrentlyknowitcannotwithstandtheleapthatscomingnext.

    _______________

    TheRoadtoSuperintelligenceWhatIsAI?Ifyourelikeme,youusedtothinkArtificialIntelligencewasasillysci-ficoncept,butlatelyyouvebeenhearingitmentionedbyseriouspeople,andyoudontreallyquitegetit.

    TherearethreereasonsalotofpeopleareconfusedaboutthetermAI:

    1)WeassociateAIwithmovies.StarWars.Terminator.2001:ASpaceOdyssey.EventheJetsons.Andthosearefiction,asaretherobotcharacters.SoitmakesAIsoundalittlefictionaltous.

    2)AIisabroadtopic.Itrangesfromyourphonescalculatortoself-drivingcarstosomethinginthefuturethatmightchangetheworlddramatically.AIreferstoallofthesethings,whichisconfusing.

    3)WeuseAIallthetimeinourdailylives,butweoftendontrealizeitsAI.JohnMcCarthy,whocoinedthetermArtificialIntelligencein1956,complainedthatassoonasitworks,noonecallsitAIanymore. Becauseofthisphenomenon,AIoftensoundslikeamythicalfuturepredictionmorethanareality.Atthesametime,itmakesitsoundlikeapopconceptfromthepastthatnevercametofruition.RayKurzweilsayshehearspeoplesaythatAIwitheredinthe1980s,whichhecomparestoinsistingthattheInternetdiedinthedot-combustoftheearly2000s.

    Soletsclearthingsup.First,stopthinkingofrobots.ArobotisacontainerforAI,sometimesmimickingthehumanform,sometimesnotbuttheAIitselfisthecomputerinsidetherobot.AIisthebrain,andtherobotisitsbodyifitevenhasabody.Forexample,thesoftwareanddatabehindSiriisAI,thewomansvoicewehearisapersonificationofthatAI,andtheresnorobotinvolvedatall.

    Secondly,youveprobablyheardthetermsingularityortechnologicalsingularity.Thistermhasbeenusedinmathtodescribeanasymptote-likesituationwherenormalrulesnolongerapply.Itsbeenusedinphysicstodescribeaphenomenonlikeaninfinitelysmall,denseblackholeorthepointwewereallsquishedintorightbeforetheBigBang.Again,situationswheretheusualrulesdontapply.In1993,VernorVingewroteafamousessayinwhichheappliedthetermtothemomentinthefuturewhenourtechnologysintelligenceexceedsourownamomentforhimwhenlifeasweknowitwillbeforeverchangedandnormalruleswillnolongerapply.RayKurzweilthenmuddledthingsabitbydefiningthesingularityasthetimewhentheLawofAcceleratingReturnshasreachedsuchanextremepacethattechnologicalprogressishappeningataseemingly-infinitepace,andafterwhichwellbelivinginawholenewworld.IfoundthatmanyoftodaysAIthinkershavestoppedusingtheterm,anditsconfusinganyway,soIwontuseitmuchhere(eventhoughwellbefocusingonthatideathroughout).

    Finally,whiletherearemanydifferenttypesorformsofAIsinceAIisabroadconcept,thecriticalcategoriesweneedtothinkaboutarebasedonanAIscaliber.TherearethreemajorAIcalibercategories:

    AICaliber1)ArtificialNarrowIntelligence(ANI):SometimesreferredtoasWeakAI,ArtificialNarrowIntelligenceisAIthatspecializesinonearea.TheresAIthatcanbeattheworldchesschampioninchess,butthatstheonlythingitdoes.Askittofigureoutabetterwaytostoredataonaharddrive,

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    anditlllookatyoublankly.

    AICaliber2)ArtificialGeneralIntelligence(AGI):SometimesreferredtoasStrongAI,orHuman-LevelAI,ArtificialGeneralIntelligencereferstoacomputerthatisassmartasahumanacrosstheboardamachinethatcanperformanyintellectualtaskthatahumanbeingcan.CreatingAGIisamuchhardertaskthancreatingANI,andwereyettodoit.ProfessorLindaGottfredsondescribesintelligenceasaverygeneralmentalcapabilitythat,amongotherthings,involvestheabilitytoreason,plan,solveproblems,thinkabstractly,comprehendcomplexideas,learnquickly,andlearnfromexperience.AGIwouldbeabletodoallofthosethingsaseasilyasyoucan.

    AICaliber3)ArtificialSuperintelligence(ASI):OxfordphilosopherandleadingAIthinkerNickBostromdefinessuperintelligenceasanintellectthatismuchsmarterthanthebesthumanbrainsinpracticallyeveryfield,includingscientificcreativity,generalwisdomandsocialskills.ArtificialSuperintelligencerangesfromacomputerthatsjustalittlesmarterthanahumantoonethatstrillionsoftimessmarteracrosstheboard.ASIisthereasonthetopicofAIissuchaspicymeatballandwhythewordsimmortalityandextinctionwillbothappearinthesepostsmultipletimes.

    Asofnow,humanshaveconqueredthelowestcaliberofAIANIinmanyways,anditseverywhere.TheAIRevolutionistheroadfromANI,throughAGI,toASIaroadwemayormaynotsurvivebutthat,eitherway,willchangeeverything.

    Letstakeacloselookatwhattheleadingthinkersinthefieldbelievethisroadlookslikeandwhythisrevolutionmighthappenwaysoonerthanyoumightthink:

    WhereWeAreCurrentlyAWorldRunningonANIArtificialNarrowIntelligenceismachineintelligencethatequalsorexceedshumanintelligenceorefficiencyataspecificthing.Afewexamples:

    CarsarefullofANIsystems,fromthecomputerthatfiguresoutwhentheanti-lockbrakesshouldkickintothecomputerthattunestheparametersofthefuelinjectionsystems.Googlesself-drivingcar,whichisbeingtestednow,willcontainrobustANIsystemsthatallowittoperceiveandreacttotheworldaroundit.YourphoneisalittleANIfactory.Whenyounavigateusingyourmapapp,receivetailoredmusicrecommendationsfromPandora,checktomorrowsweather,talktoSiri,ordozensofothereverydayactivities,youreusingANI.YouremailspamfilterisaclassictypeofANIitstartsoffloadedwithintelligenceabouthowtofigureoutwhatsspamandwhatsnot,andthenitlearnsandtailorsitsintelligencetoyouasitgetsexperiencewithyourparticularpreferences.TheNestThermostatdoesthesamethingasitstartstofigureoutyourtypicalroutineandactaccordingly.YouknowthewholecreepythingthatgoesonwhenyousearchforaproductonAmazonandthenyouseethatasarecommendedforyouproductonadifferentsite,orwhenFacebooksomehowknowswhoitmakessenseforyoutoaddasafriend?ThatsanetworkofANIsystems,workingtogethertoinformeachotheraboutwhoyouareandwhatyoulikeandthenusingthatinformationtodecidewhattoshowyou.SamegoesforAmazonsPeoplewhoboughtthisalsoboughtthingthatsanANIsystemwhosejobitistogatherinfofromthebehaviorofmillionsofcustomersandsynthesizethatinfotocleverlyupsellyousoyoullbuymorethings.GoogleTranslateisanotherclassicANIsystemimpressivelygoodatonenarrowtask.Voicerecognitionisanother,andthereareabunchofappsthatusethosetwoANIsasatagteam,allowingyoutospeakasentenceinonelanguageandhavethephonespitoutthesamesentenceinanother.Whenyourplanelands,itsnotahumanthatdecideswhichgateitshouldgoto.Justlikeitsnotahumanthatdeterminedthepriceofyourticket.TheworldsbestCheckers,Chess,Scrabble,Backgammon,andOthelloplayersarenowallANIsystems.GooglesearchisonelargeANIbrainwithincrediblysophisticatedmethodsforrankingpagesandfiguringoutwhattoshowyouinparticular.SamegoesforFacebooksNewsfeed.Andthosearejustintheconsumerworld.SophisticatedANIsystemsarewidelyusedinsectorsandindustrieslikemilitary,manufacturing,andfinance(algorithmichigh-frequencyAItradersaccountformorethanhalfofequitysharestradedonUSmarkets ),andinexpertsystemslikethosethathelpdoctorsmakediagnosesand,mostfamously,IBMsWatson,whocontainedenoughfactsandunderstoodcoyTrebek-speakwellenoughtosoundlybeatthemostprolificJeopardychampions.

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    ANIsystemsastheyarenowarentespeciallyscary.Atworst,aglitchyorbadly-programmedANIcancauseanisolatedcatastrophelikeknockingoutapowergrid,causingaharmfulnuclearpowerplantmalfunction,ortriggeringafinancialmarketsdisaster(likethe2010FlashCrashwhenanANIprogramreactedthewrongwaytoanunexpectedsituationandcausedthestockmarkettobrieflyplummet,taking$1trillionofmarketvaluewithit,onlypartofwhichwasrecoveredwhenthemistakewascorrected).

    ButwhileANIdoesnthavethecapabilitytocauseanexistentialthreat,weshouldseethisincreasinglylargeandcomplexecosystemofrelatively-harmlessANIasaprecursoroftheworld-alteringhurricanethatsontheway.EachnewANIinnovationquietlyaddsanotherbrickontotheroadtoAGIandASI.OrasAaronSaenzseesit,ourworldsANIsystemsareliketheaminoacidsintheearlyEarthsprimordialoozetheinanimatestuffoflifethat,oneunexpectedday,wokeup.

    TheRoadFromANItoAGI

    WhyItsSoHard

    Nothingwillmakeyouappreciatehumanintelligencelikelearningabouthowunbelievablychallengingitistotrytocreateacomputerassmartasweare.Buildingskyscrapers,puttinghumansinspace,figuringoutthedetailsofhowtheBigBangwentdownallfareasierthanunderstandingourownbrainorhowtomakesomethingascoolasit.Asofnow,thehumanbrainisthemostcomplexobjectintheknownuniverse.

    WhatsinterestingisthatthehardpartsoftryingtobuildAGI(acomputerassmartashumansingeneral,notjustatonenarrowspecialty)arenotintuitivelywhatyoudthinktheyare.Buildacomputerthatcanmultiplytwoten-digitnumbersinasplitsecondincrediblyeasy.Buildonethatcanlookatadogandanswerwhetheritsadogoracatspectacularlydifficult.MakeAIthatcanbeatanyhumaninchess?Done.Makeonethatcanreadaparagraphfromasix-year-oldspicturebookandnotjustrecognizethewordsbutunderstandthemeaningofthem?Googleiscurrentlyspendingbillionsofdollarstryingtodoit.Hardthingslikecalculus,financialmarketstrategy,andlanguagetranslationaremind-numbinglyeasyforacomputer,whileeasythingslikevision,motion,movement,andperceptionareinsanelyhardforit.Or,ascomputerscientistDonaldKnuthputsit,AIhasbynowsucceededindoingessentiallyeverythingthatrequiresthinkingbuthasfailedtodomostofwhatpeopleandanimalsdowithoutthinking.'

    Whatyouquicklyrealizewhenyouthinkaboutthisisthatthosethingsthatseemeasytousareactuallyunbelievablycomplicated,andtheyonlyseemeasybecausethoseskillshavebeenoptimizedinus(andmostanimals)byhundredsofmillionyearsofanimalevolution.Whenyoureachyourhanduptowardanobject,themuscles,tendons,andbonesinyourshoulder,elbow,andwristinstantlyperformalongseriesofphysicsoperations,inconjunctionwithyoureyes,toallowyoutomoveyourhandinastraightlinethroughthreedimensions.Itseemseffortlesstoyoubecauseyouhaveperfectedsoftwareinyourbrainfordoingit.Sameideagoesforwhyitsnotthatmalwareisdumbfornotbeingabletofigureouttheslantywordrecognitiontestwhenyousignupforanewaccountonasiteitsthatyourbrainissuperimpressiveforbeingableto.

    Ontheotherhand,multiplyingbignumbersorplayingchessarenewactivitiesforbiologicalcreaturesandwehaventhadanytimetoevolveaproficiencyatthem,soacomputerdoesntneedtoworktoohardtobeatus.Thinkaboutitwhichwouldyouratherdo,buildaprogramthatcouldmultiplybignumbersoronethatcouldunderstandtheessenceofaBwellenoughthatyoucouldshowitaBinanyoneofthousandsofunpredictablefontsorhandwritinganditcouldinstantlyknowitwasaB?

    Onefunexamplewhenyoulookatthis,youandacomputerbothcanfigureoutthatitsarectanglewithtwodistinctshades,alternating:

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    Tiedsofar.Butifyoupickuptheblackandrevealthewholeimage

    youhavenoproblemgivingafulldescriptionofthevariousopaqueandtranslucentcylinders,slats,and3-Dcorners,butthecomputerwouldfailmiserably.Itwoulddescribewhatitseesavarietyoftwo-dimensionalshapesinseveraldifferentshadeswhichisactuallywhatsthere.Yourbrainisdoingatonoffancyshittointerprettheimplieddepth,shade-mixing,androomlightingthepictureistryingtoportray. Andlookingatthepicturebelow,acomputerseesatwo-dimensionalwhite,black,andgraycollage,whileyoueasilyseewhatitreallyisaphotoofanentirely-black,3-Drock:

    Credit:MatthewLloyd

    Andeverythingwejustmentionedisstillonlytakinginstagnantinformationandprocessingit.Tobehuman-levelintelligent,acomputerwouldhavetounderstandthingslikethedifferencebetweensubtlefacialexpressions,thedistinctionbetweenbeingpleased,relieved,content,satisfied,andglad,andwhyBraveheartwasgreatbutThePatriotwasterrible.

    Daunting.

    Sohowdowegetthere?

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    FirstKeytoCreatingAGI:IncreasingComputationalPower

    OnethingthatdefinitelyneedstohappenforAGItobeapossibilityisanincreaseinthepowerofcomputerhardware.IfanAIsystemisgoingtobeasintelligentasthebrain,itllneedtoequalthebrainsrawcomputingcapacity.

    Onewaytoexpressthiscapacityisinthetotalcalculationspersecond(cps)thebraincouldmanage,andyoucouldcometothisnumberbyfiguringoutthemaximumcpsofeachstructureinthebrainandthenaddingthemalltogether.

    RayKurzweilcameupwithashortcutbytakingsomeonesprofessionalestimateforthecpsofonestructureandthatstructuresweightcomparedtothatofthewholebrainandthenmultiplyingproportionallytogetanestimateforthetotal.Soundsalittleiffy,buthedidthisabunchoftimeswithvariousprofessionalestimatesofdifferentregions,andthetotalalwaysarrivedinthesameballparkaround10 ,or10quadrillioncps.

    Currently,theworldsfastestsupercomputer,ChinasTianhe-2,hasactuallybeatenthatnumber,clockinginatabout34quadrillioncps.ButTianhe-2isalsoadick,takingup720squaremetersofspace,using24megawattsofpower(thebrainrunsonjust20watts),andcosting$390milliontobuild.Notespeciallyapplicabletowideusage,orevenmostcommercialorindustrialusageyet.

    Kurzweilsuggeststhatwethinkaboutthestateofcomputersbylookingathowmanycpsyoucanbuyfor$1,000.Whenthatnumberreacheshuman-level10quadrillioncpsthenthatllmeanAGIcouldbecomeaveryrealpartoflife.

    MooresLawisahistorically-reliablerulethattheworldsmaximumcomputingpowerdoublesapproximatelyeverytwoyears,meaningcomputerhardwareadvancement,likegeneralhumanadvancementthroughhistory,growsexponentially.LookingathowthisrelatestoKurzweilscps/$1,000metric,werecurrentlyatabout10trillioncps/$1,000,rightonpacewiththisgraphspredictedtrajectory:

    Sotheworlds$1,000computersarenowbeatingthemousebrainandtheyreataboutathousandthofhumanlevel.Thisdoesntsoundlikemuchuntilyourememberthatwewereataboutatrillionthofhumanlevelin1985,abillionthin1995,andamillionthin2005.Beingatathousandthin2015putsusrightonpacetogettoanaffordablecomputerby2025thatrivalsthepowerofthebrain.

    Soonthehardwareside,therawpowerneededforAGIistechnicallyavailablenow,inChina,andwellbereadyforaffordable,widespreadAGI-caliberhardwarewithin10years.Butrawcomputationalpoweralonedoesntmakeacomputergenerallyintelligentthenextquestionis,howdowebringhuman-levelintelligencetoallthatpower?

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    SecondKeytoCreatingAGI:MakingitSmart

    Thisistheickypart.Thetruthis,noonereallyknowshowtomakeitsmartwerestilldebatinghowtomakeacomputerhuman-levelintelligentandcapableofknowingwhatadogandaweird-writtenBandamediocremovieis.Butthereareabunchoffar-fetchedstrategiesoutthereandatsomepoint,oneofthemwillwork.HerearethethreemostcommonstrategiesIcameacross:

    1)Plagiarizethebrain.

    Thisislikescientiststoilingoverhowthatkidwhositsnexttotheminclassissosmartandkeepsdoingsowellonthetests,andeventhoughtheykeepstudyingdiligently,theycantdonearlyaswellasthatkid,andthentheyfinallydecidekfuckitImjustgonnacopythatkidsanswers.Itmakessensewerestumpedtryingtobuildasuper-complexcomputer,andtherehappenstobeaperfectprototypeforoneineachofourheads.

    Thescienceworldisworkinghardonreverseengineeringthebraintofigureouthowevolutionmadesucharadthingoptimisticestimatessaywecandothisby2030.Oncewedothat,wellknowallthesecretsofhowthebrainrunssopowerfullyandefficientlyandwecandrawinspirationfromitandstealitsinnovations.Oneexampleofcomputerarchitecturethatmimicsthebrainistheartificialneuralnetwork.Itstartsoutasanetworkoftransistorneurons,connectedtoeachotherwithinputsandoutputs,anditknowsnothinglikeaninfantbrain.Thewayitlearnsisittriestodoatask,sayhandwritingrecognition,andatfirst,itsneuralfiringsandsubsequentguessesatdecipheringeachletterwillbecompletelyrandom.Butwhenitstolditgotsomethingright,thetransistorconnectionsinthefiringpathwaysthathappenedtocreatethatanswerarestrengthened;whenitstolditwaswrong,thosepathwaysconnectionsareweakened.Afteralotofthistrialandfeedback,thenetworkhas,byitself,formedsmartneuralpathwaysandthemachinehasbecomeoptimizedforthetask.Thebrainlearnsabitlikethisbutinamoresophisticatedway,andaswecontinuetostudythebrain,werediscoveringingeniousnewwaystotakeadvantageofneuralcircuitry.

    Moreextremeplagiarisminvolvesastrategycalledwholebrainemulation,wherethegoalistoslicearealbrainintothinlayers,scaneachone,usesoftwaretoassembleanaccuratereconstructed3-Dmodel,andthenimplementthemodelonapowerfulcomputer.Wedthenhaveacomputerofficiallycapableofeverythingthebrainiscapableofitwouldjustneedtolearnandgatherinformation.Ifengineersgetreallygood,theydbeabletoemulatearealbrainwithsuchexactaccuracythatthebrainsfullpersonalityandmemorywouldbeintactoncethebrainarchitecturehasbeenuploadedtoacomputer.IfthebrainbelongedtoJimrightbeforehepassedaway,thecomputerwouldnowwakeupasJim(?),whichwouldbearobusthuman-levelAGI,andwecouldnowworkonturningJimintoanunimaginablysmartASI,whichhedprobablybereallyexcitedabout.

    Howfararewefromachievingwholebrainemulation?Wellsofar,wevenotyetjustrecentlybeenabletoemulatea1mm-longflatwormbrain,whichconsistsofjust302totalneurons.Thehumanbraincontains100billion.Ifthatmakesitseemlikeahopelessproject,rememberthepowerofexponentialprogressnowthatweveconqueredthetinywormbrain,anantmighthappenbeforetoolong,followedbyamouse,andsuddenlythiswillseemmuchmoreplausible.

    2)Trytomakeevolutiondowhatitdidbeforebutforusthistime.

    Soifwedecidethesmartkidstestistoohardtocopy,wecantrytocopythewayhestudiesforthetestsinstead.

    Heressomethingweknow.Buildingacomputeraspowerfulasthebrainispossibleourownbrainsevolutionisproof.Andifthebrainisjusttoocomplexforustoemulate,wecouldtrytoemulateevolutioninstead.Thefactis,evenifwecanemulateabrain,thatmightbeliketryingtobuildanairplanebycopyingabirdswing-flappingmotionsoften,machinesarebestdesignedusingafresh,machine-orientedapproach,notbymimickingbiologyexactly.

    SohowcanwesimulateevolutiontobuildAGI?Themethod,calledgeneticalgorithms,wouldworksomethinglikethis:therewouldbeaperformance-and-evaluationprocessthatwouldhappenagainandagain(thesamewaybiologicalcreaturesperformbylivinglifeandareevaluatedbywhethertheymanagetoreproduceornot).Agroupofcomputerswouldtrytodotasks,andthemostsuccessfuloneswouldbebredwitheachotherbyhavinghalfofeachoftheirprogrammingmergedtogetherintoanewcomputer.Thelesssuccessfuloneswouldbeeliminated.Overmany,manyiterations,thisnaturalselectionprocesswouldproducebetterandbettercomputers.Thechallengewouldbecreatinganautomatedevaluationandbreedingcyclesothisevolutionprocesscouldrunonitsown.

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    Thedownsideofcopyingevolutionisthatevolutionlikestotakeabillionyearstodothingsandwewanttodothisinafewdecades.

    Butwehavealotofadvantagesoverevolution.First,evolutionhasnoforesightandworksrandomlyitproducesmoreunhelpfulmutationsthanhelpfulones,butwewouldcontroltheprocesssoitwouldonlybedrivenbybeneficialglitchesandtargetedtweaks.Secondly,evolutiondoesntaimforanything,includingintelligencesometimesanenvironmentmightevenselectagainsthigherintelligence(sinceitusesalotofenergy).We,ontheotherhand,couldspecificallydirectthisevolutionaryprocesstowardincreasingintelligence.Third,toselectforintelligence,evolutionhastoinnovateinabunchofotherwaystofacilitateintelligencelikerevampingthewayscellsproduceenergywhenwecanremovethoseextraburdensandusethingslikeelectricity.Itsnodoubtwedbemuch,muchfasterthanevolutionbutitsstillnotclearwhetherwellbeabletoimproveuponevolutionenoughtomakethisaviablestrategy.

    3)Makethiswholethingthecomputersproblem,notours.

    Thisiswhenscientistsgetdesperateandtrytoprogramthetesttotakeitself.Butitmightbethemostpromisingmethodwehave.

    TheideaisthatwedbuildacomputerwhosetwomajorskillswouldbedoingresearchonAIandcodingchangesintoitselfallowingittonotonlylearnbuttoimproveitsownarchitecture.Wedteachcomputerstobecomputerscientistssotheycouldbootstraptheirowndevelopment.Andthatwouldbetheirmainjobfiguringouthowtomakethemselvessmarter.Moreonthislater.

    AllofThisCouldHappenSoon

    Rapidadvancementsinhardwareandinnovativeexperimentationwithsoftwarearehappeningsimultaneously,andAGIcouldcreepuponusquicklyandunexpectedlyfortwomainreasons:

    1)ExponentialgrowthisintenseandwhatseemslikeasnailspaceofadvancementcanquicklyraceupwardsthisGIFillustratesthisconceptnicely:

    Source

    2)Whenitcomestosoftware,progresscanseemslow,butthenoneepiphanycaninstantlychangetherateofadvancement(kindoflikethewayscience,duringthetimehumansthoughttheuniversewasgeocentric,washavingdifficultycalculatinghowtheuniverseworked,butthenthediscoverythatitwasheliocentricsuddenlymadeeverythingmucheasier).Or,whenitcomestosomethinglikeacomputerthatimprovesitself,wemightseemfarawaybutactuallybejustonetweakofthesystemawayfromhavingitbecome1,000timesmoreeffectiveandzoomingupwardtohuman-levelintelligence.

    TheRoadFromAGItoASIAtsomepoint,wellhaveachievedAGIcomputerswithhuman-levelgeneralintelligence.Justabunchofpeopleandcomputerslivingtogetherinequality.

    Ohactuallynotatall.

    Thethingis,AGIwithanidenticallevelofintelligenceandcomputationalcapacityasahumanwould

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    stillhavesignificantadvantagesoverhumans.Like:

    Hardware:

    Speed.Thebrainsneuronsmaxoutataround200Hz,whiletodaysmicroprocessors(whicharemuchslowerthantheywillbewhenwereachAGI)runat2GHz,or10milliontimesfasterthanourneurons.Andthebrainsinternalcommunications,whichcanmoveatabout120m/s,arehorriblyoutmatchedbyacomputersabilitytocommunicateopticallyatthespeedoflight.Sizeandstorage.Thebrainislockedintoitssizebytheshapeofourskulls,anditcouldntgetmuchbiggeranyway,orthe120m/sinternalcommunicationswouldtaketoolongtogetfromonebrainstructuretoanother.Computerscanexpandtoanyphysicalsize,allowingfarmorehardwaretobeputtowork,amuchlargerworkingmemory(RAM),andalongtermmemory(harddrivestorage)thathasbothfargreatercapacityandprecisionthanourown.Reliabilityanddurability.Itsnotonlythememoriesofacomputerthatwouldbemoreprecise.Computertransistorsaremoreaccuratethanbiologicalneurons,andtheyrelesslikelytodeteriorate(andcanberepairedorreplacediftheydo).Humanbrainsalsogetfatiguedeasily,whilecomputerscanrunnonstop,atpeakperformance,24/7.

    Software:

    Editability,upgradability,andawiderbreadthofpossibility.Unlikethehumanbrain,computersoftwarecanreceiveupdatesandfixesandcanbeeasilyexperimentedon.Theupgradescouldalsospantoareaswherehumanbrainsareweak.Humanvisionsoftwareissuperblyadvanced,whileitscomplexengineeringcapabilityisprettylow-grade.Computerscouldmatchthehumanonvisionsoftwarebutcouldalsobecomeequallyoptimizedinengineeringandanyotherarea.Collectivecapability.Humanscrushallotherspeciesatbuildingavastcollectiveintelligence.Beginningwiththedevelopmentoflanguageandtheformingoflarge,densecommunities,advancingthroughtheinventionsofwritingandprinting,andnowintensifiedthroughtoolsliketheinternet,humanityscollectiveintelligenceisoneofthemajorreasonswevebeenabletogetsofaraheadofallotherspecies.Andcomputerswillbewaybetteratitthanweare.AworldwidenetworkofAIrunningaparticularprogramcouldregularlysyncwithitselfsothatanythinganyonecomputerlearnedwouldbeinstantlyuploadedtoallothercomputers.Thegroupcouldalsotakeononegoalasaunit,becausetherewouldntnecessarilybedissentingopinionsandmotivationsandself-interest,likewehavewithinthehumanpopulation.

    AI,whichwilllikelygettoAGIbybeingprogrammedtoself-improve,wouldntseehuman-levelintelligenceassomeimportantmilestoneitsonlyarelevantmarkerfromourpointofviewandwouldnthaveanyreasontostopatourlevel.Andgiventheadvantagesoverusthatevenhumanintelligence-equivalentAGIwouldhave,itsprettyobviousthatitwouldonlyhithumanintelligenceforabriefinstantbeforeracingonwardstotherealmofsuperior-to-humanintelligence.

    Thismayshocktheshitoutofuswhenithappens.Thereasonisthatfromourperspective,A)whiletheintelligenceofdifferentkindsofanimalsvaries,themaincharacteristicwereawareofaboutanyanimalsintelligenceisthatitsfarlowerthanours,andB)weviewthesmartesthumansasWAYsmarterthanthedumbesthumans.Kindoflikethis:

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    SoasAIzoomsupwardinintelligencetowardus,wellseeitassimplybecomingsmarter,forananimal.Then,whenithitsthelowestcapacityofhumanityNickBostromusesthetermthevillageidiotwellbelike,Ohwow,itslikeadumbhuman.Cute!Theonlythingis,inthegrandspectrumofintelligence,allhumans,fromthevillageidiottoEinstein,arewithinaverysmallrangesojustafterhittingvillageidiot-levelandbeingdeclaredtobeAGI,itllsuddenlybesmarterthanEinsteinandwewontknowwhathitus:

    Andwhathappensafterthat?

    AnIntelligenceExplosion

    Ihopeyouenjoyednormaltime,becausethisiswhenthistopicgetsunnormalandscary,anditsgonnastaythatwayfromhereforward.IwanttopauseheretoremindyouthateverysinglethingImgoingtosayisrealrealscienceandrealforecastsofthefuturefromalargearrayofthemostrespectedthinkersandscientists.Justkeeprememberingthat.

    Anyway,asIsaidabove,mostofourcurrentmodelsforgettingtoAGIinvolvetheAIgettingtherebyself-improvement.AndonceitgetstoAGI,evensystemsthatformedandgrewthroughmethodsthatdidntinvolveself-improvementwouldnowbesmartenoughtobeginself-improvingiftheywantedto.

    Andhereswherewegettoanintenseconcept:recursiveself-improvement.Itworkslikethis

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    AnAIsystematacertainlevelletssayhumanvillageidiotisprogrammedwiththegoalofimprovingitsownintelligence.Onceitdoes,itssmartermaybeatthispointitsatEinsteinslevelsonowwhenitworkstoimproveitsintelligence,withanEinstein-levelintellect,ithasaneasiertimeanditcanmakebiggerleaps.Theseleapsmakeitmuchsmarterthananyhuman,allowingittomakeevenbiggerleaps.Astheleapsgrowlargerandhappenmorerapidly,theAGIsoarsupwardsinintelligenceandsoonreachesthesuperintelligentlevelofanASIsystem.ThisiscalledanIntelligenceExplosion,anditstheultimateexampleofTheLawofAcceleratingReturns.

    ThereissomedebateabouthowsoonAIwillreachhuman-levelgeneralintelligencethemedianyearonasurveyofhundredsofscientistsaboutwhentheybelievedwedbemorelikelythannottohavereachedAGIwas2040 thatsonly25yearsfromnow,whichdoesntsoundthathugeuntilyouconsiderthatmanyofthethinkersinthisfieldthinkitslikelythattheprogressionfromAGItoASIhappensveryquickly.Likethiscouldhappen:

    IttakesdecadesforthefirstAIsystemtoreachlow-levelgeneralintelligence,butitfinallyhappens.Acomputerisabletounderstandtheworldarounditaswellasahumanfour-year-old.Suddenly,withinanhourofhittingthatmilestone,thesystempumpsoutthegrandtheoryofphysicsthatunifiesgeneralrelativityandquantummechanics,somethingnohumanhasbeenabletodefinitivelydo.90minutesafterthat,theAIhasbecomeanASI,170,000timesmoreintelligentthanahuman.

    Superintelligenceofthatmagnitudeisnotsomethingwecanremotelygrasp,anymorethanabumblebeecanwrapitsheadaroundKeynesianEconomics.Inourworld,smartmeansa130IQandstupidmeansan85IQwedonthaveawordforanIQof12,952.

    WhatwedoknowisthathumansutterdominanceonthisEarthsuggestsaclearrule:withintelligencecomespower.WhichmeansanASI,whenwecreateit,willbethemostpowerfulbeinginthehistoryoflifeonEarth,andalllivingthings,includinghumans,willbeentirelyatitswhimandthismighthappeninthenextfewdecades.

    Ifourmeagerbrainswereabletoinventwifi,thensomething100or1,000or1billiontimessmarterthanweareshouldhavenoproblemcontrollingthepositioningofeachandeveryatomintheworldinanywayitlikes,atanytimeeverythingweconsidermagic,everypowerweimagineasupremeGodtohavewillbeasmundaneanactivityfortheASIasflippingonalightswitchisforus.Creatingthetechnologytoreversehumanaging,curingdiseaseandhungerandevenmortality,reprogrammingtheweathertoprotectthefutureoflifeonEarthallsuddenlypossible.AlsopossibleistheimmediateendofalllifeonEarth.Asfaraswereconcerned,ifanASIcomestobeing,thereisnowanomnipotentGodonEarthandtheall-importantquestionforusis:

    WillitbeaniceGod?

    ThatsthetopicofPart2ofthispost.

    ___________

    SourcesatthebottomofPart2.

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