The ChatGPT Paradox: Impressive Yet Incomplete — YouTube

“Prof. Thomas G. Diet­terich dis­cuss­es the cur­rent state of large lan­guage mod­els like Chat­G­PT. He explains their capa­bil­i­ties and lim­i­ta­tions, empha­siz­ing their sta­tis­ti­cal nature and ten­den­cy to hal­lu­ci­nate. Diet­terich explores the chal­lenges in uncer­tain­ty quan­tifi­ca­tion for these mod­els and pro­pos­es inte­grat­ing them with for­mal rea­son­ing sys­tems. He advo­cates for more robust knowl­edge rep­re­sen­ta­tion meth­ods, such as knowl­edge graphs, and dis­cuss­es the impor­tance of safe­ty in AI devel­op­ment. Diet­terich also touch­es on the chang­ing land­scape of aca­d­e­m­ic AI research and the poten­tial of open-source mod­els to accel­er­ate inno­va­tion in the field.”