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SUMMARY:Necessary mechanisms for super AI and stopping hallucinations: The
  consistent reasoning paradox and the indeterminacy function - Anders Hans
 en (University of Cambridge)
DTSTART:20260421T101500Z
DTEND:20260421T110000Z
UID:TALK244924@talks.cam.ac.uk
DESCRIPTION:Creating Artificial Super Intelligence (ASI) (AI that surpasse
 s human intelligence) is the ultimate challenge in AI research. This is\, 
 as we will discuss\, fundamentally linked to the problem of avoiding hallu
 cinations (wrong\, yet plausible answers) in AI. We will describe a key me
 chanism that must be present in any ASI. This mechanism is not present in 
 any modern chatbot and we will discuss how\, without it\, ASI will never b
 e achievable. Moreover\, we reveal that AI missing this mechanism will alw
 ays hallucinate. Specifically\, this mechanism is the computation of what 
 we call an indeterminacy function. An indeterminacy function determines wh
 en an AI is correct and when it will not be able to answer with 100% confi
 dence. The root to these findings is the Consistent Reasoning Paradox (CRP
 )\, which is a new paradox in logical reasoning that we will describe in t
 he talk. The CRP shows that the above mechanism must be present as &ndash\
 ; surprisingly &ndash\; an ASI that is &lsquo\;pretty sure&rsquo\; (more t
 han 50%) can rewrite itself to become 100% certain. It will compute an ind
 eterminacy function and either be correct with 100% confidence\, or it wil
 l not be more than 50% sure. The CRP addresses a long-standing issue that 
 stems from Turing&rsquo\;s famous statement that infallible AI cannot be i
 ntelligent\, where he questions how much intelligence may be displayed if 
 an AI makes no pretence at infallibility. The CRP answers this &ndash\; co
 nsistent reasoning requires fallibility &ndash\; and thus marks a necessar
 y fundamental shift in AI design if ASI is to ever be achieved and halluci
 nations to be stopped.
LOCATION:Seminar Room 1\, Newton Institute
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