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# 人工智能和资本主义的未来

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Human Brain Project 113 Human Rights Data Analysis Group (HRDAG) 105 Humans (TV show) 133

IBM 12, 36, 39, 42, 53, 66, 127   
ICE (US Immigration and Customs Enforcement agency) 103   
ILO (International Labour Organization) study 91   
imagination 117, 118, 119, 121–3   
Impett, Leo 164n2   
inductive biases 122–3   
industrial automation 74, 81–2, 90–1   
industrial capitalism 51tab see also Fordism; large-scale industry   
Industry 4.0 81 see also Internet of Things   
infrastructure AI as 30–1, 52–6, 61–2 as general condition of production 30–1, 39, 46–9, 61–2 privatization of 39   
integral accidents 151–2   
intensification of work 17, 21   
Internet of Things (IoT) 56–7, 62, 81   
investment, since 2008 crash 45–6, 80   
The Invisible Committee 147–8

Jameson, Frederic 149   
Japan 22, 41, 95   
Jenkins, Simon 89   
Jeopardy 36   
Jordan, Tim 78   
journalism 102   
Kai-Fu Lee 40–1, 109   
Kaplan, Jerry 9, 11, 14–15   
Kasparov, Garry 12, 36, 127   
Kelly, Kevin 30, 61   
Kiva Systems 84   
Kjøsen, Atle Mikkola 58– 59, 131   
knowledge capture 64   
knowledge systems 12   
Kurzweil, Raymond 1, 37, 129, 156,   
159, 165n1

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labour Marx’s concept of 110, 115–20, 124–7, 135–7 replacement of 58–60, 78–9, 82–94, 135–44 share of GDP 73 see also workers   
labour theory of value 110, 132   
Lake, Brenden M. 121   
Land, Nick 7, 153, 156–8   
Landing.ai 34   
large-scale industry 49, 51tab   
learning biases 122–3   
Lebeuf, Carlene 59   
left-accelerationist view 7, 146–56   
legal status 136–7   
Lenin, Vladimir 6   
LinkedIn, discriminatory hiring and 96   
Linux 54   
lobbying 41   
logistical capitalism see post-Fordism   
logistics revolution 82–3   
Lucas Plan 154   
Luddism 166n2   
luxury automated communism 146–7   
machine learning (ML) see ML   
MacLeod, Ken 27   
Maluuba 113, 114   
Mandel, Ernest 22   
manufacture epoch 48–9, 51tab   
manufacturing, automation of 74, 81–2, 90–1   
Manzerolle, Vincent 58–9   
Marin, Michael 53   
Marks & Spencer 83   
Marx, Karl architect and bee example 117, 119, 123–4 on circulation of capital 70–1 on concentration 43 on crises 17–18, 21 on general conditions of production 30–1, 39, 46–9, 61, 129

on general intellect 31–2, 63–4, 125–6 on inhuman power 2, 4 on labour and labour-power 110, 115–20, 124–7, 135–7 on machinery 15–21, 129, 147, 152–3; on automation 18–21, 62, 67, 69–70, 129; value, social forms and 130–5, 166n16 on surplus population 141, 142, 144 Mason, Paul 6 Mason, Zachary 27 Maven (Project) 103 maximalist view (‘it’s really happening, let’s speed it up’) 6–7, 145, 146–56 McAfee, Andrew 87–8 McCorduck, Pamela 9 means of cognition 31, 62–7 Mechanical Turk (MTurk) 78, 102 Media Mobilizing Project 105–6 Melville, Andrew 60 mercantilism 51tab Mercer, Rebekah 100 Mészáros, István 160 Microsoft AGI Project 113, 114 algorithm checking by 78 automated retailing and 86 cloud service of 42 current activities (overview) 38 ‘democratization’ of AI and 52–3 employee resistance at 103 vision of AI 30 middle class, hollowing out of 94–5 Mighty AI 77 military-industrial complexes 39–40, 74–5, 152–3 minimalist view 4–6, 145–6 ML (machine learning) AGI and 128–30 definition and types 11, 12–15 Marx’s visions and 21 oligopolies based on 32–8 production of 76–9 model building 76

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monopolies see oligopolies/ monopolies   
Moody, Kim 80   
Moore, Jason 161   
Moore, Phoebe 92–3   
Moravec, Hans 12, 159   
Morris-Suzuki, Tessa 22, 23   
Morton, Timothy 119, 161   
MTurk (Mechanical Turk) 78, 102   
Musk, Elon 1, 4, 81, 113, 159   
Narrative Science 65   
narrow AI 2, 10, 11–12, 88, 127–9   
National Security Agency (US) 100   
natural form 132–3 see also use-value   
Natural Language Generation (NLG) 65   
necessary labour-time 136   
Negarestani, Reza 166n3   
neo-fascism/far right 73, 100–1, 157–8   
Neoreaction 157–8   
Neuralink 159   
news stories, automated 65   
Ng, Andrew 30, 34, 127   
Nicolaus, Martin 67   
Nilsson, Nils J. 128, 165n4   
novum 25   
Obama, Barack 101   
object recognition 45, 122–4   
Ocado 85   
OECD studies 90   
oligopolies/monopolies 41, 42, 43–4, 107–8   
Omohundro, Stephen M. 137–8   
one-shot learning 123   
O’Neill, Cathy 86   
open-source programming 53–6, 113   
OpenAI 1, 65–6, 113   
operaismo 67, 156 see also postoperaismo   
O’Reilly, Tim 54, 150   
organic composition of capital 17, 19, 24, 141, 155   
Osborne, Michael 88

Page, Larry 1, 37   
Panzieri, Raniero 155–6   
paper clip example 151–2   
Pasquinelli, Matteo 164n7   
people analytics 92–7   
perception 58–60, 67   
perpetuum mobile 130–1   
Pichai, Sundar 103   
Pitts, Frederick Harry 19   
platform capitalism 36, 55–6, 93–4   
Playment 77   
Plum Rains (Romano-Lax) 26   
policing 87, 105   
political composition 70   
politics 99–101, 107–9   
post-Fordism 50, 51tab, 64, 71–2   
post-operaismo 31, 63, 64, 67, 164n7   
postcapitalism 6, 19, 26, 146–9, 150,   
151, 154, 155   
posthuman feminism 161, 167n4   
power see class power   
primitive accumulation 143   
production, automation of 74, 81–2,   
90–1   
productivity 16, 45–6   
profit   
falling rate of (FROP) 17–18, 19   
globalization and 71–4   
surplus-value and 24   
proletarianization 22, 23, 135–8   
PyTorch 53

Quill 65

racism and racial discrimination 87, 95–6, 104, 105–6, 157–8   
radio-frequency identification (RFID) 56–7   
Ramtin, Ramin 22–3   
RCN (recursive cortical networks) 123–4   
recessions/crises 17–18, 21, 39, 45–6, 73, 142   
recommendations (algorithmic) 33, 37, 76, 84   
reconfiguration debate 147–9   
recursive cortical networks (RCN) 123–4   
refusal, doctrine of 67, 155–6   
regulation 40, 41, 55, 104–5   
reification 149   
reinforcement learning 14   
Renaud, Karen 119, 125   
resistance 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   
‘Results of the Immediate Process of Production’ (Marx) 19–21   
retail automated purchasing 140 automated stores 59–60, 61–2, 85–6 warehousing 84–5, 93, 101–2   
revolution 17, 18, 153–5   
Rich, Elaine 9   
right-wing extremism 73, 100–1, 157–8   
Roberts, Michael 46   
Roberts, Sarah 78   
Robinson, Kim Stanley 26   
robots 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   
Romano-Lax, Andromeda 26   
Rose, Geordie 1, 2   
Rosenblat, Alex 94   
R.U.R. (play) 133–5   
Russia 41, 100   
Salesforce 103   
Samsung 1, 54–5   
San Francisco, inequality in 106–7   
Sanctuary Cognitive Systems Corporation 1   
SAP 33–4   
Saudi Arabia 137   
Schmidt, Eric 107   
science fiction 24–8, 68, 133–5   
Searle, John 11, 126   
security industry 80 see also defence industry   
SED (situated, embodied and dynamical framework) 11, 12   
Sedol, Lee 14, 88, 120–1   
self-driving vehicles 33, 42–3, 45, 81, 82–3   
sentiment analysis 66   
serfdom 135   
service sector jobs 68–9, 72, 82–7, 94–5, 101–2   
Shanahan, Murray 127   
shape recognition 122   
Shewan, Dan 96   
Sidewalk Labs 106–7   
Siemens 81   
Silicon Valley 106–7 see also tech industry   
Silicon Valley De-Bug 105   
Silver, Beverly 71   
Singularity University 159   
SIX 62   
slavery 135, 137   
Slow Tsunami view 143–4   
smart cities 57, 106–7   
smartphones 54–5, 99   
Smith, Jason 142   
Snowden, Edward 100   
social brain 64   
social factory 70–4   
social forms 132–5   
social individual 63–4   
social media defection from 105 subsumption of general behaviour and 98–101 see also specific media   
social relations of production 132–3, 139   
socialism 2, 146–9   
socially necessary labour 17–18, 24   
software developers see employees of tech industry   
Solow, Robert 45   
spatial fixes 71–2   
speculation 44   
Srnicek, Nick 6, 36, 148, 163n2   
Stallman, Richard 54   
Stanczyk, Lucas 151   
state, 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   
Stiegler, Bernard 97–8   
strikes 101–2   
strong AI 11   
Stross, Charles 26–7, 137   
subsumption of general human behaviour 97–101 hypersubsumption 21, 51table Marx on 19–21 see also grammatization   
Sunflowers (Watts) 27–8   
supervised learning 14   
supply-chain capitalism see post-Fordism   
surplus labour-time 16   
surplus populations 5, 23, 140–4   
surplus-value expansion of as capital’s goal 3, 31, 135–6 fixed capital and 16, 79–80, 134 profit and 24 relative 20   
surveillance military 40, 74–5, 80 resistance to 104–5 by the state 104–5, 147–8 of workers 92–4   
Suvin, Darko 25   
Sweden, automated stores in 85   
symbolic AI 11   
taxi drivers 102   
Taylor, Astra 4–6   
Taylorism 50, 51tab, 70, 92   
Teamsters Union 82   
tech 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   
Tech Workers Coalition 103   
technical composition of production 69–70   
technical fixes 71–2, 73, 74–5   
TechReset Canada 107   
Techsploitation is Toxic 106   
TensorFlow 53, 54–5   
Tesla vehicles 81   
Thiel, Peter 157   
Thompson, James 30   
Toronto 106–7, Google/Alphabet   
Toscano, Alberto 147–9   
Tractica 42   
traffic (verkehrs) 67   
transhumanism 159–61, 167n4   
Trichter, Judd 26   
trucking 82–3   
Trudeau, Justin 107   
Trump, Donald 40, 100–1   
Turker Nation 102   
Uber 82, 93, 102, 113, 114   
unemployment 23–4, 87–91, 108–9, 140–4, 145 see also workers: replacement of   
unions and worker coalitions 68, 82, 102, 103   
universal basic income (UBI) 6, 143, 146, 150–1   
unsupervised learning 14   
urban development 57   
use-value 71, 132, 134, 135–6 see also natural form   
utilities see infrastructure   
value 132, 134, 135–6 socially necessary labour and 17–18, 24 valorization of 139 see also surplus-value   
variable capital AGI as 138–9 fixed capital vs 15, 17, 18, 69–70 see also labour   
verkehrs (traffic) 67   
Vicarious PFC 122–4   
Virno, Paolo 56, 64–5, 66–7   
Viv (n.d.) 30   
Void Star (Mason) 27

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wages, suppression of during 1970s/80s 72 by AI deployment 28–9, 80, 81, 142–3 by economic crises 18, 21, 80 as main issue today 93 Marx on 17, 135–6 mass movements to fight 70 neo-fascism as result of 73 resistance to 101–2 surplus population and 141–2 within tech industry 77, 93 by threat of AI 5, 74 women, minorities and 96

Walmart 34, 85–6   
Wang, Pei 110, 128–9   
Warp-CTC 53   
Washington consensus 39   
Watson (IBM) 36   
Watts, Peter 27–8   
weak AI 11   
Westworld 68   
white supremacists 157–8   
Wilde, Lawrence 124   
Williams, Alex 6, 148   
Winfield, Alan 9–10   
women see gender   
workers algorithmic surveillance of 92–4 class composition and 69–75 doubly free 136–7 intensification of labour for 83, 84, 85, 90 Marx on machinery and 15–21 polarization among 94–5 precarity for 77–8, 93–4, 142–3, 150–1 qualitative employment issues for 91–7 replacement of 58–60, 78–9, 82–94, 135–44 resistance by 40, 101–2, 103 subsumption of 19–21 in tech industry (see tech industry) threat of technology as weapon against 4–5, 17, 74 training of 96–7 see also wages, suppression of

xenofeminism 167n4

Y Combinator 150   
Yampolskiy, Roman V. 44–5   
Yang, Dan 150   
Yudkowsky, Eliezer 11

Zuckerberg, Mark 1

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