BEGIN:VCALENDAR VERSION:2.0 PRODID:Baylor CMS Calendar /PHP/ METHOD:PUBLISH BEGIN:VTIMEZONE TZID:US_Central BEGIN:STANDARD DTSTART:20001029T020000 RRULE:FREQ=YEARLY;WKST=MO;INTERVAL=1;BYMONTH=11;BYDAY=1SU TZNAME:Standard Time TZOFFSETFROM:-0500 TZOFFSETTO:-0600 END:STANDARD BEGIN:DAYLIGHT DTSTART:20010401T020000 RRULE:FREQ=YEARLY;WKST=MO;INTERVAL=1;BYMONTH=3;BYDAY=2SU TZNAME:Daylight Saving Time TZOFFSETFROM:-0600 TZOFFSETTO:-0500 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:Baylor_CMS_Event-4451 DTSTAMP:20260623T210549Z SUMMARY:Guest Lecture: "Large Language Models, Model Collapse, and the Conservation of Information" with George MontaƱez, Ph.D. DESCRIPTION:Location: Cashion 311"Large Language Models, Model Collapse, and the Conservation of Information".Abstract: Do Large Language Models (LLMs) think and reason? Are they perpetual information machines, producing endless coherent and correct text from finite training data? We explore how LLMs work and whether they produce rational thought and endless information. We show how theoretical considerations and experimental results from philosophy, statistics, information theory, and machine learning argue against the thesis that LLMs are rational, information-generating entities.\n\nVIEW EVENT ONLINE:\n LOCATION: DTSTART;TZID=US_Central:20251114T121500 DTEND;TZID=US_Central:20251114T131500 END:VEVENT END:VCALENDAR