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The previous video explained why it's *possible* for trained models to end up with the wrong goals, even when we specify the goals perfectly. This video explains why it's *likely*.

https://youtu.be/IeWljQw3UgQ

Also UPCOMING EVENT TODAY, we'll have another Live Watch Party in one hour (at 10pm UK time, 2pm pacific, 5pm eastern). We'll watch the new video at the same time here:

https://sync-tube.de/rooms/s0Plfqy4d 

and afterwards chat  about it on the Discord here:
https://discord.gg/2YxbNS5KUK

Files

Previews only

Deceptive Misaligned Mesa-Optimisers? It's More Likely Than You Think...

The previous video explained why it's *possible* for trained models to end up with the wrong goals, even when we specify the goals perfectly. This video explains why it's *likely*. Previous video: The OTHER AI Alignment Problem: https://youtu.be/bJLcIBixGj8 The Paper: https://arxiv.org/pdf/1906.01820.pdf Media Sources: End of Ze World - https://youtu.be/enRzYWcVyAQ FlexClip News graphics With thanks to my excellent Patreon supporters: https://www.patreon.com/robertskmiles Timothy Lillicrap Kieryn James Scott Worley James E. Petts Chad Jones Shevis Johnson JJ Hepboin Pedro A Ortega Said Polat Chris Canal Jake Ehrlich Kellen lask Francisco Tolmasky Michael Andregg David Reid Peter Rolf Teague Lasser Andrew Blackledge Frank Marsman Brad Brookshire Cam MacFarlane Craig Mederios Jon Wright CaptObvious Jason Hise Phil Moyer Erik de Bruijn Alec Johnson Clemens Arbesser Ludwig Schubert Allen Faure Eric James Matheson Bayley Qeith Wreid jugettje dutchking Owen Campbell-Moore Atzin Espino-Murnane Johnny Vaughan Jacob Van Buren Jonatan R Ingvi Gautsson Michael Greve Tom O'Connor Laura Olds Jon Halliday Paul Hobbs Jeroen De Dauw Lupuleasa Ionuț Cooper Lawton Tim Neilson Eric Scammell Igor Keller Ben Glanton anul kumar sinha Tor Duncan Orr Will Glynn Tyler Herrmann Ian Munro Joshua Davis Jérôme Beaulieu Nathan Fish Peter Hozák Taras Bobrovytsky Jeremy Vaskó Richárd Benjamin Watkin Andrew Harcourt Luc Ritchie Nicholas Guyett James Hinchcliffe 12tone Oliver Habryka Chris Beacham Zachary Gidwitz Nikita Kiriy Andrew Schreiber Steve Trambert Mario Lois Braden Tisdale Abigail Novick Сергей Уваров Bela R Mink Chris Rimmer Edmund Fokschaner Grant Parks J Nate Gardner John Aslanides Mara ErikBln DragonSheep Richard Newcombe David Morgan Fionn Dmitri Afanasjev Marcel Ward Andrew Weir Kabs Miłosz Wierzbicki Tendayi Mawushe Jake Fish Wr4thon Martin Ottosen Robert Hildebrandt Andy Kobre Kees Darko Sperac Robert Valdimarsson Marco Tiraboschi Michael Kuhinica Fraser Cain Robin Scharf Klemen Slavic Patrick Henderson Oct todo22 Melisa Kostrzewski Hendrik Daniel Munter Alex Knauth Kasper Ian Reyes James Fowkes Tom Sayer Len Alan Bandurka Ben H Simon Pilkington Daniel Kokotajlo Diagon Andreas Blomqvist Bertalan Bodor Zannheim Daniel Eickhardt lyon549 14zRobot Ivan Jason Cherry Igor (Kerogi) Kostenko ib_ Thomas Dingemanse Stuart Alldritt Alexander Brown Devon Bernard Ted Stokes James Helms Jesper Andersson DeepFriedJif Chris Dinant Raphaël Lévy Johannes Walter Matt Stanton Garrett Maring Anthony Chiu Ghaith Tarawneh Julian Schulz Stellated Hexahedron Caleb Scott Viteri Clay Upton Conor Comiconor Michael Roeschter Georg Grass Isak Matthias Hölzl Jim Renney Edison Franklin Piers Calderwood Mikhail Tikhomirov Richard Otto Matt Brauer Jaeson Booker Mateusz Krzaczek Artem Honcharov Michael Walters Tomasz Gliniecki Mihaly Barasz Mark Woodward Ranzear Neil Palmere Rajeen Nabid Christian Epple Clark Schaefer Olivier Coutu Iestyn bleasdale-shepherd MojoExMachina Marek Belski Luke Peterson Eric Eldard Eric Rogstad Eric Carlson Caleb Larson Max Chiswick Aron David de Kloet Sam Freedo slindenau A21 Johannes Lindmark Nicholas Turner Tero K Valerio Galieni FJannis M I Ryan W Ammons Ludwig Krinner This person's name is too hard to pronounce kp contalloomlegs Everardo González Ávalos Knut Løklingholm Andrew McKnight Andrei Trifonov Aleks D Mutual Information https://www.patreon.com/robertskmiles

Comments

Chris K

Ohbtw: what I always wanted to say: I am currently training a natural neuronal network and $all.this seems dreadfully close to it. NNN comes to dinner with dirty hands. Instruct to wash hands. NNN leaves room for half a second and claims completion. NNN is informed that this is preposterous and instructed to REALLY wash hands. NNN leaves room, short burst of water is heard, NNN returns with statement of success. NNN is informed that amount of water used is implausible with cleaning action. NNN leaves room begrudgingly and after audible cleaning returns, claims success. Inspection reveals that hands are still dirty because water without soap is not cleaning, but merely wetting. NNN is reminded of initial instructions to clean hands, which includes water AND soap. .... etc. Which kinda proves that we live in base-reality and not in a simulation because all code contains bugs. In a sim, at least one of the billion child-type-agents would have found said bugs to get around washing hands to satisfy the reward-function and get to dinner quicker. Maybe that is how they found out who to bring to the Oracle in The Matrix? Cheers! Chris :)