BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pycon-lithuania-2026//speaker//LCEK33
BEGIN:VTIMEZONE
TZID:EET
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20011231T220000Z
TZNAME:EET
TZOFFSETFROM:+0200
TZOFFSETTO:+0200
END:STANDARD
BEGIN:STANDARD
DTSTART:20031026T050000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20030330T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pycon-lithuania-2026-BUVAG9@pretalx.com
DTSTART;TZID=EET:20260410T110000
DTEND;TZID=EET:20260410T112500
DESCRIPTION:What if you could watch an AI’s thought take shape? For years
 \, LLMs have been impenetrable "black boxes\," but we are finally beginnin
 g to find ways to see how the ghost in the machine actually works.\n\nThis
  talk explores **mechanistic interpretability**\, a subfield of AI that ai
 ms to understand the internal workings of neural networks. Mapping these i
 nternal "circuits" is not only just a philosophical curiosity - or duty: i
 t is a high-stakes engineering necessity for safety\, debugging\, and trus
 t.
DTSTAMP:20260617T082939Z
LOCATION:Great hall\, (3rd building)
SUMMARY:Reading the Mind of an LLM - Luca Baggi\, Gabriele Orlandi
URL:https://pretalx.com/pycon-lithuania-2026/talk/BUVAG9/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-pycon-lithuania-2026-E38VJA@pretalx.com
DTSTART;TZID=EET:20260410T143000
DTEND;TZID=EET:20260410T145500
DESCRIPTION:With o1\, OpenAI ushered a new era: LLMs with reasoning capabil
 ities. This new breed of models broadened the concept of scaling laws\, sh
 ifting focus from train-time to inference-time compute. But how do these m
 odels work? What do we think their architectures look like\, and what data
  do we use to train them? And finally - and perhaps more importantly: how 
 expensive can they get\, and what can we use them for?
DTSTAMP:20260617T082939Z
LOCATION:Krantas/Shore 213 (3rd building)
SUMMARY:From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason 
 - Luca Baggi
URL:https://pretalx.com/pycon-lithuania-2026/talk/E38VJA/
END:VEVENT
END:VCALENDAR