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SUMMARY: Artificial Intelligence: Agentic capital\, intelligence inequalit
 ies\, and alignment - Kevin Vallier (University of Toledo)\, Professor Tom
  Simpson (Blavatnik School of Government)
DTSTART;VALUE=DATE-TIME:20260303T163000Z
DTEND;VALUE=DATE-TIME:20260303T174500Z
UID:https://talks.ox.ac.uk/talks/id/9a1fd53c-0899-4442-9223-c1467508a97d/
DESCRIPTION:Join Kevin Vallier\, Professor of Philosophy at the Univeristy
  of Toledo\, and Thomas Simpson\, Alfred Landecker Professor of Values and
  Public Policy at the Blavatnik School of Government\, for a seminar on ag
 entic capital\, intelligence inequalities\, and alignment.\n\nAI will tran
 sform social order\, yet we lack a general theory of how it impacts politi
 cs and the economy. In this event\, Professor Vallier offers such a theory
 . AI's transformative potential arises from its status as agentic capital:
  capital that can act and spawn autonomously. Professor Vallier will outli
 ne his paper that asks: How does agentic capital transform market structur
 e\, and what governs the resulting distribution of economic and political 
 power?\n\nMarkets are currently pre-agentic. Agents are too unreliable for
  unsupervised deployment\, so humans stay in the loop. But agents will soo
 n make better spawning choices than humans. Given all the things AI can do
 \, small efficiency gains should induce superlinear agent growth. Intellig
 ence will thus expand until physical infrastructure becomes the binding co
 nstraint: chips\, energy\, and queues. Expect the economy to transform in 
 stages.\n\nOnce this process has begun\, political and economic power will
  flow to compute owners\, who will have a tremendous impact on outcomes th
 rough the accumulation of intelligence inequalities\, or differential conc
 entrations of agentic capital. These concentrations have dynamic propertie
 s owing not merely to the ability of AI to self-replicate but to self-modi
 fy. Even their utility functions are not fixed parameters but strategic va
 riables. This has stark consequences for human equality\, creating vast in
 telligence inequalities between persons.\n\nAgentic capital theory also ha
 s stark consequences for alignment. The field focuses too much on aligning
  individual agents\, but personality engineering will fail even with good 
 agents\, since bad agents will outcompete them. Alignment must address the
  social dimensions of AI ecosystems: interaction and replication. It requi
 res an AI constitution.\n\nPlease note this an in-person event and is open
  to members of the University of Oxford only. Please use your University e
 mail address when registering.\nSpeakers:\nKevin Vallier (University of To
 ledo)\, Professor Tom Simpson (Blavatnik School of Government)
LOCATION:Blavatnik School of Government (In person only)\, Radcliffe Obser
 vatory Quarter OX2 6GG
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/9a1fd53c-0899-4442-9223-c1467508a97d/
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DESCRIPTION:Talk: Artificial Intelligence: Agentic capital\, intelligence 
 inequalities\, and alignment - Kevin Vallier (University of Toledo)\, Prof
 essor Tom Simpson (Blavatnik School of Government)
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