Uploaded October 2025 | Updated September 2026, 2 weeks ago
Do we really understand how AI works? Can AI teach grandmasters new tricks?
Catch these talks live and ask your own questions, join the BuzzRobot community: join.slack.com/t/buzzrobot/shared_invite/zt-37g5q0ao5-eMK_iDf0n4LAsh1d2qJYnQ
This time BuzzRobot spoke with Been Kim, senior staff research scientist at Google DeepMind, about interpreting and understanding machines and what cutting-edge research is being conducted to better understand emerging behavior of AI.
Follow Been Kim: beenkim.github.io
We Can't Understand AI Using our Existing Vocabulary research: arxiv.org/abs/2502.07586
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Newsletter: buzzrobot.substack.com
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Support us: ko-fi.com/sophiaaryan
Timestamps:
0:00 Intro
0:18 AI teaches grandmasters chess
05:30 AI neologisms
10:17 Extracting knowledge from machines
13:43 Interpretability research
17:19 Are we keeping up with AI progress
18:34 New AI related terms
20:26 The right direction for interpretability
23:35 AI lying
27:49 Conseptual maps
30:30 AI researchers bias
33:33 Generalizing AI teaching humans
35:11 Is AI sentient
36:04 Does AI has concepts
41:53 Progress in machine understanding
Do we really understand how AI works? Can AI teach grandmasters new tricks?
Catch these talks live and ask your own questions, join the BuzzRobot community: join.slack.com/t/buzzrobot/shared_invite/zt-37g5q0ao5-eMK_iDf0n4LAsh1d2qJYnQ
This time BuzzRobot spoke with Been Kim, senior staff research scientist at Google DeepMind, about interpreting and understanding machines and what cutting-edge research is being conducted to better understand emerging behavior of AI.
Follow Been Kim: beenkim.github.io
We Can't Understand AI Using our Existing Vocabulary research: arxiv.org/abs/2502.07586
Join BuzzRobot:
Newsletter: buzzrobot.substack.com
X: https://x.com/sopharicks
Slack: join.slack.com/t/buzzrobot/shared_invite/zt-37g5q0ao5-eMK_iDf0n4LAsh1d2qJYnQ
Support us: ko-fi.com/sophiaaryan
Timestamps:
0:00 Intro
0:18 AI teaches grandmasters chess
05:30 AI neologisms
10:17 Extracting knowledge from machines
13:43 Interpretability research
17:19 Are we keeping up with AI progress
18:34 New AI related terms
20:26 The right direction for interpretability
23:35 AI lying
27:49 Conseptual maps
30:30 AI researchers bias
33:33 Generalizing AI teaching humans
35:11 Is AI sentient
36:04 Does AI has concepts
41:53 Progress in machine understanding










