The conversation about artificial intelligence has narrowed to two competing bets about how human-level capability is built. The first, held by the major frontier labs, is that scaling neural networks produces general intelligence as an emergent property. The second, held by a smaller community in the cognitive-science...
Aleksandr F. Urakhchin· Zenodo (CERN European Organi...· 0 citations
Translating an existing application from one general-purpose programming language into another is a long-standing engineering problem with no general solution. Arbitrary source-to-source translation is intractable because the two languages live in different runtime-semantic worlds with significant non-isomorphism in th...
Aleksandr F. Urakhchin· Zenodo (CERN European Organi...· 0 citations
The conversation about artificial intelligence has narrowed to two competing bets about how human-level capability is built. The first, held by the major frontier labs, is that scaling neural networks produces general intelligence as an emergent property. The second, held by a smaller community in the cognitive-science...
Aleksandr F. Urakhchin· Zenodo (CERN European Organi...· 0 citations
Translating an existing application from one general-purpose programming language into another is a long-standing engineering problem with no general solution. Arbitrary source-to-source translation is intractable because the two languages live in different runtime-semantic worlds with significant non-isomorphism in th...
Aleksandr F. Urakhchin· Zenodo (CERN European Organi...· 0 citations
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