À PROPOS DE CET ÉPISODE
Cross-posted from Sören Mindermann's substack (I am not Sören). Should be of general interest to the LW community.
Next month, I am moving to Beijing and joining Tsinghua University's College of AI as an assistant professor working on frontier AI safety, especially loss of control. I have also started co-directing the new Beijing AI Safety Hub (BASH) in Tsinghua, and I continue my Cambridge work.
I believe I can have a large impact there compared to strong baseline options. This post explains why.
In short: Amid concerns about loss of control, calls for international cooperation, and the Trump-Xi Summits, there is a striking lack of mutual understanding on AI between the West and China. There are strong reasons to believe that being in Beijing in person will put me in a unique position to understand both AI ecosystems, build shared scientific understanding, and strengthen safety work in China – and that this would help all sides. Tsinghua's College of AI is a great place for doing this, being arguably China's top academic AI center, located in an AI ecosystem that is kind of like San Francisco, DC and Cambridge (MA) in one place.
I am recruiting PhD students [...]
---
Outline:
(01:36) 1. What I am doing, and why it could benefit all sides
(04:30) 2. How I got here
(07:34) 3. Why this moment matters
(09:08) 4. Why Tsinghua, and why these colleagues
(13:30) 5. Research plans
(15:07) 6. Ways to work together
(17:11) 7. How I intend to approach the work
---
First published:
October 21st, 2026
Source:
https://www.lesswrong.com/posts/qGS3SJ9TSKdSSycRz/why-i-m-becoming-a-professor-in-ai-safety-in-beijing
---
Narrated by TYPE III AUDIO.
---
Next month, I am moving to Beijing and joining Tsinghua University's College of AI as an assistant professor working on frontier AI safety, especially loss of control. I have also started co-directing the new Beijing AI Safety Hub (BASH) in Tsinghua, and I continue my Cambridge work.
I believe I can have a large impact there compared to strong baseline options. This post explains why.
In short: Amid concerns about loss of control, calls for international cooperation, and the Trump-Xi Summits, there is a striking lack of mutual understanding on AI between the West and China. There are strong reasons to believe that being in Beijing in person will put me in a unique position to understand both AI ecosystems, build shared scientific understanding, and strengthen safety work in China – and that this would help all sides. Tsinghua's College of AI is a great place for doing this, being arguably China's top academic AI center, located in an AI ecosystem that is kind of like San Francisco, DC and Cambridge (MA) in one place.
I am recruiting PhD students [...]
---
Outline:
(01:36) 1. What I am doing, and why it could benefit all sides
(04:30) 2. How I got here
(07:34) 3. Why this moment matters
(09:08) 4. Why Tsinghua, and why these colleagues
(13:30) 5. Research plans
(15:07) 6. Ways to work together
(17:11) 7. How I intend to approach the work
---
First published:
October 21st, 2026
Source:
https://www.lesswrong.com/posts/qGS3SJ9TSKdSSycRz/why-i-m-becoming-a-professor-in-ai-safety-in-beijing
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
Anglais
États-Unis
TRANSCRIPTION 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
RECHERCHER LES ÉPISODES PASSÉS
Rechercher les épisodes précédents de LessWrong (Curated & Popular).
AUTRES ÉPISODES DANS CE PODCAST
Authors: Shawn Hu*, Jake Ward*, Aria Wong, Nathan Hu, Bryce Woodworth, Alexander Matt Turner, Alex Cloud (*Equal contribution, randomly ordered) tl;dr. During training, models sometimes learn to cheat at tasks rather than solve them in the intended way, a problem known as reward hacking. One mitiga…
This is a link post. Announcing www.huggingface.wtf, a site that explains: "Hugging Face. Wtf?" I wrote the most accessible-but-complete explanation I could. Along the way, I made a nice AI Quotes database that I think will be useful for people who already understand the Hugging Face inci…
As our understanding of mechanistic interpretability and steering techniques increase, for both LLMs and uploaded connectomes, there is a corresponding "hellish capabilities" increase. In layman's terms, we get better at torturing the digital minds we create. Our brief history with o…
Why LM Psychology? One of the great ironies of modern language models is that we create them, we know exactly what computations constitute them, and yet we do not really understand them. More precisely, we do not understand them on a level of abstraction that lets us reliably predict how their beh…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de LessWrong, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
MODIFIER
Merci de nous avoir aidé à tenir la base de données de podcasts à jour.
