{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"a2eab101-adfc-4a0d-8142-63a4d11cee02","title":"人工智能和资本主义的未来","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9780745338613","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"a2eab101-adfc-4a0d-8142-63a4d11cee02","id":"a2eab101-adfc-4a0d-8142-63a4d11cee02","uuid":"a2eab101-adfc-4a0d-8142-63a4d11cee02","title":"人工智能和资本主义的未来","normalized_title":"人工智能和资本主义的未来","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9780745338613","isbns":["9780745338613","9780745338606","9781786803955","9781786803979","9781786803962"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":225,"navigation_url":"https://workshop.closeclaw.top/ai/book/a2eab101-adfc-4a0d-8142-63a4d11cee02","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%92%8C%E8%B5%84%E6%9C%AC%E4%B8%BB%E4%B9%89%E7%9A%84%E6%9C%AA%E6%9D%A5","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/a2eab101-adfc-4a0d-8142-63a4d11cee02/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/a2eab101-adfc-4a0d-8142-63a4d11cee02/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/a2eab101-adfc-4a0d-8142-63a4d11cee02","page_url":"https://workshop.closeclaw.top/api/ai/books/a2eab101-adfc-4a0d-8142-63a4d11cee02/page","search_url":"https://workshop.closeclaw.top/api/ai/books/a2eab101-adfc-4a0d-8142-63a4d11cee02/search"},"page":{"printed_page":206,"pdf_page":214,"physical_index":214,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"d2da5f00476e51105f54d31a398da4bb7aefb22c28029f8d1cd26f8fad1d988f"},"chapter":"Digital Barricades: Interventions in Digital Culture and Politics","content":"monopolies see oligopolies/ monopolies   \nMoody, Kim 80   \nMoore, Jason 161   \nMoore, Phoebe 92–3   \nMoravec, Hans 12, 159   \nMorris-Suzuki, Tessa 22, 23   \nMorton, Timothy 119, 161   \nMTurk (Mechanical Turk) 78, 102   \nMusk, Elon 1, 4, 81, 113, 159   \nNarrative Science 65   \nnarrow AI 2, 10, 11–12, 88, 127–9   \nNational Security Agency (US) 100   \nnatural form 132–3 see also use-value   \nNatural Language Generation (NLG) 65   \nnecessary labour-time 136   \nNegarestani, Reza 166n3   \nneo-fascism/far right 73, 100–1, 157–8   \nNeoreaction 157–8   \nNeuralink 159   \nnews stories, automated 65   \nNg, Andrew 30, 34, 127   \nNicolaus, Martin 67   \nNilsson, Nils J. 128, 165n4   \nnovum 25   \nObama, Barack 101   \nobject recognition 45, 122–4   \nOcado 85   \nOECD studies 90   \noligopolies/monopolies 41, 42, 43–4, 107–8   \nOmohundro, Stephen M. 137–8   \none-shot learning 123   \nO’Neill, Cathy 86   \nopen-source programming 53–6, 113   \nOpenAI 1, 65–6, 113   \noperaismo 67, 156 see also postoperaismo   \nO’Reilly, Tim 54, 150   \norganic composition of capital 17, 19, 24, 141, 155   \nOsborne, Michael 88\n\nPage, Larry 1, 37   \nPanzieri, Raniero 155–6   \npaper clip example 151–2   \nPasquinelli, Matteo 164n7   \npeople analytics 92–7   \nperception 58–60, 67   \nperpetuum mobile 130–1   \nPichai, Sundar 103   \nPitts, Frederick Harry 19   \nplatform capitalism 36, 55–6, 93–4   \nPlayment 77   \nPlum Rains (Romano-Lax) 26   \npolicing 87, 105   \npolitical composition 70   \npolitics 99–101, 107–9   \npost-Fordism 50, 51tab, 64, 71–2   \npost-operaismo 31, 63, 64, 67, 164n7   \npostcapitalism 6, 19, 26, 146–9, 150,   \n151, 154, 155   \nposthuman feminism 161, 167n4   \npower see class power   \nprimitive accumulation 143   \nproduction, automation of 74, 81–2,   \n90–1   \nproductivity 16, 45–6   \nprofit   \nfalling rate of (FROP) 17–18, 19   \nglobalization and 71–4   \nsurplus-value and 24   \nproletarianization 22, 23, 135–8   \nPyTorch 53\n\nQuill 65\n\nracism and racial discrimination 87, 95–6, 104, 105–6, 157–8   \nradio-frequency identification (RFID) 56–7   \nRamtin, Ramin 22–3   \nRCN (recursive cortical networks) 123–4   \nrecessions/crises 17–18, 21, 39, 45–6, 73, 142   \nrecommendations (algorithmic) 33, 37, 76, 84   \nreconfiguration debate 147–9   \nrecursive cortical networks (RCN) 123–4   \nrefusal, doctrine of 67, 155–6   \nregulation 40, 41, 55, 104–5   \nreification 149   \nreinforcement learning 14   \nRenaud, Karen 119, 125   \nresistance by Amazon employees 101–2, 103 by Foxconn employees 74 by general population: to AI and surveillance 104–5, 147–8; to capital’s power 73, 99–100; to tech companies 106–7 by Google employees 40, 103   \n‘Results of the Immediate Process of Production’ (Marx) 19–21   \nretail automated purchasing 140 automated stores 59–60, 61–2, 85–6 warehousing 84–5, 93, 101–2   \nrevolution 17, 18, 153–5   \nRich, Elaine 9   \nright-wing extremism 73, 100–1, 157–8   \nRoberts, Michael 46   \nRoberts, Sarah 78   \nRobinson, Kim Stanley 26   \nrobots AI vs 2, 9–10 aspirations for 1 in industrial production 74, 81–2, 91 SED and 12 in service sector 68, 95 in warehouses 84–5   \nRomano-Lax, Andromeda 26   \nRose, Geordie 1, 2   \nRosenblat, Alex 94   \nR.U.R. (play) 133–5   \nRussia 41, 100   \nSalesforce 103   \nSamsung 1, 54–5   \nSan Francisco, inequality in 106–7   \nSanctuary Cognitive Systems Corporation 1   \nSAP 33–4   \nSaudi Arabia 137   \nSchmidt, Eric 107   \nscience fiction 24–8, 68, 133–5   \nSearle, John 11, 126   \nsecurity industry 80 see also defence industry   \nSED (situated, embodied and dynamical framework) 11, 12   \nSedol, Lee 14, 88, 120–1   \nself-driving vehicles 33, 42–3, 45, 81, 82–3   \nsentiment analysis 66   \nserfdom 135   \nservice sector jobs 68–9, 72, 82–7, 94–5, 101–2   \nShanahan, Murray 127   \nshape recognition 122   \nShewan, Dan 96   \nSidewalk Labs 106–7   \nSiemens 81   \nSilicon Valley 106–7 see also tech industry   \nSilicon Valley De-Bug 105   \nSilver, Beverly 71   \nSingularity University 159   \nSIX 62   \nslavery 135, 137   \nSlow Tsunami view 143–4   \nsmart cities 57, 106–7   \nsmartphones 54–5, 99   \nSmith, Jason 142   \nSnowden, Edward 100   \nsocial brain 64   \nsocial factory 70–4   \nsocial forms 132–5   \nsocial individual 63–4   \nsocial media defection from 105 subsumption of general behaviour and 98–101 see also specific media   \nsocial relations of production 132–3, 139   \nsocialism 2, 146–9   \nsocially necessary labour 17–18, 24   \nsoftware developers see employees of tech industry   \nSolow, Robert 45   \nspatial fixes 71–2   \nspeculation 44   \nSrnicek, Nick 6, 36, 148, 163n2   \nStallman, Richard 54   \nStanczyk, Lucas 151   \nstate, the conflict with tech industry 164n4 general conditions of production and 49 policing, use of AI in 87, 105 support of tech industry by 38–42, 74–5 surveillance by 100, 107 workers, moves against 72   \nStiegler, Bernard 97–8   \nstrikes 101–2   \nstrong AI 11   \nStross, Charles 26–7, 137   \nsubsumption of general human behaviour 97–101 hypersubsumption 21, 51table Marx on 19–21 see also grammatization   \nSunflowers (Watts) 27–8   \nsupervised learning 14   \nsupply-chain capitalism see post-Fordism   \nsurplus labour-time 16   \nsurplus populations 5, 23, 140–4   \nsurplus-value expansion of as capital’s goal 3, 31, 135–6 fixed capital and 16, 79–80, 134 profit and 24 relative 20   \nsurveillance military 40, 74–5, 80 resistance to 104–5 by the state 104–5, 147–8 of workers 92–4   \nSuvin, Darko 25   \nSweden, automated stores in 85   \nsymbolic AI 11   \ntaxi drivers 102   \nTaylor, Astra 4–6   \nTaylorism 50, 51tab, 70, 92   \nTeamsters Union 82   \ntech industry backlash against 107–8 concentration in 41, 42, 43–4, 107–8 contract/precarious workers in 77–8, 79, 102 control of AI by 3–4 culture of 157–8 elite employees of: AI replacement of 78–9; competition for 34–5, 54, 55, 76; culture of 157–8; discrimination and 78–9, 95–6, 103; resistance by 40, 103; salaries for 35, 94, 103 open-source, commodification of by 53–6 state support of 39–42 strengthening of by financial crisis 73–4 UBI as reinforcement for 150–1   \nTech Workers Coalition 103   \ntechnical composition of production 69–70   \ntechnical fixes 71–2, 73, 74–5   \nTechReset Canada 107   \nTechsploitation is Toxic 106   \nTensorFlow 53, 54–5   \nTesla vehicles 81   \nThiel, Peter 157   \nThompson, James 30   \nToronto 106–7, Google/Alphabet   \nToscano, Alberto 147–9   \nTractica 42   \ntraffic (verkehrs) 67   \ntranshumanism 159–61, 167n4   \nTrichter, Judd 26   \ntrucking 82–3   \nTrudeau, Justin 107   \nTrump, Donald 40, 100–1   \nTurker Nation 102   \nUber 82, 93, 102, 113, 114   \nunemployment 23–4, 87–91, 108–9, 140–4, 145 see also workers: replacement of   \nunions and worker coalitions 68, 82, 102, 103   \nuniversal basic income (UBI) 6, 143, 146, 150–1   \nunsupervised learning 14   \nurban development 57   \nuse-value 71, 132, 134, 135–6 see also natural form   \nutilities see infrastructure   \nvalue 132, 134, 135–6 socially necessary labour and 17–18, 24 valorization of 139 see also surplus-value   \nvariable capital AGI as 138–9 fixed capital vs 15, 17, 18, 69–70 see also labour   \nverkehrs (traffic) 67   \nVicarious PFC 122–4   \nVirno, Paolo 56, 64–5, 66–7   \nViv (n.d.) 30   \nVoid Star (Mason) 27\n\n206\n\ninhuman power","previous_page":205,"next_page":207}