BEGIN:VCALENDAR PRODID:-//Google Inc//Google Calendar 70.9054//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:REQUEST BEGIN:VTIMEZONE TZID:America/New_York X-LIC-LOCATION:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20230418T103000 DTEND;TZID=America/New_York:20230418T113000 DTSTAMP:20230416T212628Z ORGANIZER;CN=Machine Learning Department:mailto:j8btmpvj10p4vttp1lttnsnubs@ group.calendar.google.com UID:5eclecb1ig9akd2jofakd8mh8k_r20220503t143...@google.com ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP= TRUE;CN=ml-core-facu...@cs.cmu.edu;X-NUM-GUESTS=0:mailto:ml-core-faculty@cs .cmu.edu ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP= TRUE;CN=ml-semi...@cs.cmu.edu;X-NUM-GUESTS=0:mailto:ml-semi...@cs.cmu.edu ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP= TRUE;CN=ml-affiliated-facu...@cs.cmu.edu;X-NUM-GUESTS=0:mailto:ml-affiliate d-facu...@cs.cmu.edu ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE ;CN=arist...@andrew.cmu.edu;X-NUM-GUESTS=0:mailto:arist...@andrew.cmu.edu ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE ;CN=vsmith2...@gmail.com;X-NUM-GUESTS=0:mailto:vsmith2...@gmail.com ATTENDEE;CUTYPE=INDIVIDUAL;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE ;CN=mbal...@andrew.cmu.edu;X-NUM-GUESTS=0:mailto:mbal...@andrew.cmu.edu X-MICROSOFT-CDO-OWNERAPPTID:-1726106448 RECURRENCE-ID;TZID=America/New_York:20230418T103000 CREATED:20220418T192730Z DESCRIPTION:Talk Info:<br> <br><span>10:30am in NSH 4305</span> <br> <br>Ti tle: Can Large Language Models Understand?<br><br>Abstract:<br>There has r ecently been controversy about whether large language models can be said to understand anything\, to use language with meaning\, and so on. I'll addr ess a few issues: (1) is sensory grounding required for meaning and underst anding? (2) are large language models just "stochastic parrots" that lack w orld-models? (3) what is understanding such that a large language model mi ght have or lack it?<br><br><br><br><a href="https://cmu.zoom.us/j/92960646 977?pwd=SUlWcFE2cEIvWCt2cDZFL0hvemoxdz09">Zoom Meeting Link</a> LAST-MODIFIED:20230416T212627Z LOCATION:NSH 4305 SEQUENCE:0 STATUS:CONFIRMED SUMMARY:ML/Duolingo Seminar - David Chalmers - NSH 4305 TRANSP:OPAQUE END:VEVENT END:VCALENDAR
invite.ics
Description: application/ics
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