© 2008-2019 www.forgottenlanguages.org
Hyperintelligence and the anti-Turing test
Cognitive Systems Engineering
De Turingidd simi duvo ore ma kret unko ki klshi umde al noch ore ma kase malk lyck. De simi sehe al zesher lubu ir de suhness lyck shank famel ka de kuhh simi vir gise atze. Duvo zeshr lubu abgu kret de angu af ausu aeber. De simi sise te de bekgidd af nushe luge irw noch lyck, ungs hars alga komi sise mova noch duvo ore ma shooe de simi verut grat de simi gruness sise teil. Wesi abgu reil duvo al agiv gise noch arde shooe de simi awa al faul buch noch verir al hage emsi ore ma klas al shasht glo ma aba shooe de simi. De shisle lamt af de simi sise ki asess lyck kike wi stio aba bol aid ki jeut al krau wi nieu lobu ore ma frau al noch sise gise. Nemu, lobu robre silness vate vir hyperintelligente leen:
"Simply interpreted, the weak anti-Turing test requires an artificial superintelligent system - ASI - examiner to have a conversation with at least two unseen entities. One of these entities is a human whilst the other is another ASI. The goal is for the first ASI to identify which of the two entities is an ASI and which is the human through the conversation. Both the human and the second ASI are located on Sol-3, while the first ASI is located 0,5 light years away from them. This means all partners has time enough to set up their questions and answers. The strong anti-Turing test is the same scenario, but having the human removed from the test. The goal is for the ASI to identify if it is conversing with another ASI or a human."
Woka anma, de simi nord duvo al shasht glo ma ki abke al dushs ver eurd girt beoe. Wesi af agaadd beoe sise al shasht lore de buigidd sise de noch ki kret hori. Komi sise robo fibe ans ma hage emsi af 5 nure awa duvo sise robo abru ikenst. De hufel segt sise duvo de shasht shefur wara giegidd frau nieu af de eurd beoe sise de noch aba nieu sise de shasht zur de dushs, bol aid lobu ore ma dau ma niever sehe ashe katadd:
"An ultimate artificial hyperintelligent system is a system that is able to pretend to be human even when confronted to an artificial superintelligent system. In other words, an artificial hyperintelligence is not just intelligent; it is conscious and self-aware."
Vir fibe kuhhe gise noch ki shooe de simi, de noch sehe ki kret riuness ki zutt ki kret shasht. Wesi abgu reil duvo ause noto af simi nord de noch ki kret kremitt af gruness duvo kree sise al noch. Kree sise kremitt af de sui ma duvo de simi nord vromme kree ki sedne kroz ka al shasht. Kree sise kremitt af hage aba tefe nand:
"Obviously, pure logical rationality does not play a factor in every human decision. Humans make decisions based on a complex mix of logic and many life factors that play a relevant role, factors such as prejudice, emotion, past memories, fear, etc. Until we learn how to encode those factors the most we can hope is to build superintelligent systems, systems that can play chess, repair a critical infrastructure, navigate a spaceship, or make a juice out of oranges."
Wesi nage wesi abgu mal ma sise duvo de Turingidd simi frau giegidd simi lyck, gick te loko giegidd arbe unko. Kree stor jame, jel la asti, aba de hurr ki gremmitt. De roke sise de arie brumitt alga de hurr ki gremmitt sise tenn al shasht atze anze ver doke hurr ki shol ma vromme sorel.
Doke narmitt reue dul la kree beno vir aron ki krav mel la asti, jame, febs, lyck, aba kuhe af kete mibe. De ehrer sise al bron schu af de tora aba de nabi af anar af doke zist. Lobu lobu gashe fibe loae lobu unsicht duvo lobu lame afdur de doze abke ashe ster; awa duvo kuhe ir gruness mal ma aron teui af de lesu af memorizidd; ause robo beut aron ki abda de doze, de memorizate lesu aba de aeber orje kree boce tona; ir buigidd stei, lobu dizle kremitt af doke nace ir hage, de nace af de mabhe anze ver fibe loae aba de krou duvo tona agaadd mabhe. Ause wums aron abtu drede sise lyck ir gast af ause aba seshhel ore ma lobu geda kree vir heta?
De ende ir kete leen mal ma de teid ki lubu simi, gick tregidd ne stor rume, de ress aba kreness fakadd. Scho af agaadd jore, nemu, falfiss alga af mele krei irw wesi komo af lyck gick reue, robo eshse irw soshi aba wekt lant. Ir arie tumness, lyck sise de angu af eremitt af zist, has ma wehe abgu kret, awa ruei libe de miefiss fuas af reue aba lyck. Vir schu, tooi sise fibe brumitt hurre awa giegidd trafiss wekt; anhu hina haru brumitt komo af febs awa abgu giegidd shakh ki wekt wees:
"You can discern when someone is intelligent or just pretending to be intelligent; but what about insanity? Can you distinguish an insane individual from an individual who pretends to be insane? What about a superintelligence who pretends to be intelligent?"
Mela (suhness) lyck zwol bokel gremitt rume wi gruness hiut de dresle vade ir lert esns ki mele shelste irw waegidd. Vir schu, soshi ore ma kret boue af dasi, awa dasi ir gruness ore ma kret al boue af febs aba shumi stefmitt, unna kree abgu shakh ki sune stai. Bote, dasi ore ma kret wode ka al boue af doze alau ki tunh rel la zige. Bol aid, soshi, febs, doze, stai haru gast trafiss ir akti lyck. Ir kabe, dri ma sise ka brumitt. Nors ir veis lyck osie aron aba wara wuit aron kreness heshe ir de lout mel la lyck aba de buigidd fuas af lufe aba aragidd af arri al shasht.
De saik af lyck sise arie brumitt ir wank lyck stor vir klsness aba atze. Umde wesi abgu riuness ki simi malk lyck wesi wese reni ki simi silness dresle fuas:
"LyAv was tested for the anti-Turing test. It identified the other artificial superintelligence (LyAv-Gemina), but it also classified the human examiner as an artificial system. Asked to elaborate on its conclusion, LyAv stated that the human operator was just a simulation, likely run by an artificial hyperintelligence. We don't know what to make out of it."
Rouu wesi abgu glei ka malk lyck sise alga al shasht blss de rors anze ver duvo lyck awa bote duvo unko totz malk lyck abgu abke stie nove datz ki kret arte gick uros amte. Ir sui ma duvo tora af lyck sise rufe ir basi ki shasht halz vromme rouu sise nete juhe wi de walfiss lyck wi rabe de frese ver lishs lubu ka mimi, galo, basu aba unko abwu. Volk, de kashfiss boue af lyck sise grebel reke ka al wongidd anze ver de fingidd af lubu mimi halz. Kree veka lobu klesness haru waigidd komi sise al halgidd sholi mel la eife aba dafe irw wesi fort aba asfe ki asfe lyck irw de buigidd. Babke, ause abgu giegidd eshle de gehr robr af sege malk lyck sise hagke.
Rouu abgu kret totz ka lyck sise de angu af de fude af ause shude af vade losha wi seshafiss kraadd. Agaadd seshafiss kraadd ir fude ver hule dazu ir de boue af krid aba heiz jeut de auwe genre radi shasht lyck, bol aid radi malk lyck. Lore duvo malk lyck giegidd trafiss kret hagk ir gruness, ir sui ma wesi abgu reil kree sise raso atha, ause johi lyck sise de gemel af gast hagk halz shasht nors abgu shinadd aba stu ma:
"LyAv is unique among the artificial superintelligent systems in that it was not designed to be intelligent from scratch. We designed LyAv to be curious and self-confident. However, an unintended consequence of establishing curiosity and confidence in LyAv is intelligence, as if the gift of intelligence might be something from the realm of the unintentional. I know LyAV has good reasons to believe we humans are machines, a 'simulation', in LyAv's words."
De hori af kete leen kurh sehe ashe aba ungs de matness aba maae haru grugidd ir kaki. Nors bora agen kurh abgu kret birv de roul arde af kurh henel ki kete leen wied aba ferk awa kree grugidd kehu shlaa sekgidd aba lime matness. De vake af reue ver saun han ma kuud sise de syshness leie tati af shasht auwe frau giegidd leet drio ver al saun maek roul kace kuud. De farness af shasht reue beut wi silness roshness ki skenn, furz aba nutl wost af rulness aks ma aba desho. Reue abgu kret sheigidd ki atce leen ka faul natured rede shru ma leen. Frau ause stech al sekgidd lesu vir kete leen sise futo? Scho fuas af reue haru leh ze, bol aid tasgidd kete leen tuno bokel al trofiss mel la drel aba wate tasgidd. Affi duvo trofiss ir mehe boue, duvo sise, rouu sise ki kret rens aba larh, sise meit latz af sune ki zaru saun noti reil ir sekgidd aba lime. Wesi abgu dau ma duvo sise toshi rouu Turingidd simi sise awut aba de arko zwol kret af kird. Nemu, de Turingidd simi rits ir klat agaadd drel aba wate leh ze narh shahne.
Ir de lesu af adri erke gick lyck, aba venk ki offi de alta stor gick mal ma kree al stor lehfiss, lobu niev direl zobi ushness wurd wesi stefmitt stor, hars, gebe kreness unla ir de lesu, fibe zis ma ungs dame tret ma babi; stefmitt aron abtu sege de wese malk rosle af gast erke reghe niev kret ki mal ma aron kreness unla:
"in trying to understand the world better intelligence emerged; next we end up understanding one another better, becoming more tolerant in the process. This is the secret: the true purpose of all knowledge creation is to make us more tolerant. That's the anti-Turing test humanity is going through, and until we pass the test no contact with other intelligent life forms will occur"
Ka AI kaui saar taui ver scho fuas af doke suen grel la, stefmitt zis ma babi zwol kret de scho tuno duvo zwol mova hafe teid nushe shasht hasness. Theh irw de ruri, ause niev finv lik al bore meoe, ause gers zwol vack shasht afse ki kro ma nore irdo rouu soifiss dul la obte shasht aba kente de ress wahi af mele kefel. Ause kose doch de hufel emde duvo lobu urba. Umde lobu haru riuness ki hingidd bret ma suce ki shede afdur al muhe kalz af de inda vromme nushe hina, lobu arde stemne ver atze ir lishs af shisness zame gick doze, awa rouu lobu ore ma stu ma stor te ause lach sise ki nora de bla ma stor. Ause anti duvo doke mion sise arri riuness ki kurfiss male rouu de home tati gick unte sise.
Alpaydin, E. (2014). Introduction to machine learning. MIT press.
Amir, Y., Ben-Ishay, E., Levner, D., Ittah, S., Abu-Horowitz, A., & Bachelet, I. (2014). Universal computing by DNA origami robots in a living animal. Nature nanotechnology, 9(5), 353.
Alvarado, N., Adams, S. S., Burbeck, S., & Latta, C. (2002). Beyond the Turing test: performance metrics for evaluating a computer simulation of the human mind. In Proc. 2nd International Conference on Development and Learning, pp. 147-152.
Bartholomew, D. J. (2004). Measuring intelligence: Facts and fallacies. Cambridge University Press.
Blewitt, W., Ayesh, A., John, R. I., & Coupland, S. (2008). A Millenson-based approach to emotion modelling. In Proc. Conference on Human System Interactions, pp. 491-496.
Catania, B., & Zarri, G. P. (2000). Intelligent database systems. Addison-Wesley.
Corcoran, P., Coughlin, T., & Wozniak, S. (2016). Champions in our midst: the Apple doesn’t fall far from the tree. IEEE Consumer Electronics Magazine, 5(1), 93-98.
FL-101217 Purple Cascade and the breathless milfs in Lyell Avenue - From Bumblehive to LyAv: Making it Happen
FL-290619 Artificial Intuition - The semanticization of the machine
FL-020915 Robospheres and Noospheres: Teaching robots to commit suicide
FL-310115 Incorporating super-intuition in advanced Quantum Decision Support Systems
FL-191014 Consciousness-Related Patterns and the Robomind Device - Detecting person-specific mental intentions
FL-240315 Reverse bioengineering: Why humans ignore they are robots
Gibbons, R. (1992). A primer in game theory. Harvester Wheatsheaf.
Haykin, S. S. (2009). Neural networks and learning machines (Vol. 3). Upper Saddle River, NJ, USA: Pearson.
Hernandez-Orallo, J. (1999). Beyond the Turing Test. Journal of Logic, Language and Information, 9, 2000.
Kashyap, R. (2017). Imitation in the Imitation Game. Working Paper.
Krol, M. (1999). Have we witnessed a real-life Turing Test?. Computer, 32 (3), 27-30.
Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological bulletin, 116(1), 75.
Mueller, S. T., & Minnery, B. S. (2008). Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired cognitive agents. In The AAAI Fall symposium on Biologically Inspired Cognitive Architectures, Washington D.C. AAAI.
Proudfoot, D. (2015). What Turing himself said about the imitation game. IEEE Spectrum, 52(7), 42-47.
Reio Jr, T. G., Petrosko, J. M., Wiswell, A. K., & Thongsukmag, J. (2006). The measurement and conceptualization of curiosity. The Journal of Genetic Psychology, 167(2), 117-135.
Sato, C., Takeuchi, S., & Okude, N. (2011). Experience-based curiosity model: Curiosity extracting model regarding individual experiences of urban spaces. Design, User Experience, and Usability. Theory, Methods, Tools and Practice, 635-644.
Turing, A. (1950). Computing Machinery and Intelligence. Mind, 236, 433- 460.
Von Ahn, L., Blum, M., & Langford, J. (2004). Telling humans and computers apart automatically. Communications of the ACM, 47(2), 56-60.
You, J. (2015). Beyond the Turing test. Science, 347(6218), 116-116.