Simon Pepin Lehalleur @plain_simon
Mathematician (algebraic geometry, motives & friends, singularities in statistics and ML). 'Geometry is successful magic' (R. Thom) University of Amsterdam. simon-pepin.github.io Nijmegen, Netherlands Joined December 2019-
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Simon Pepin Lehalleur retweeted
How many lines lie on a cubic surface? (The answer is 27.) A statement that’s been known for nearly 180 years has recently gained fresh nuance and relevance. quantamagazine.org/new-math-reviv…
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Simon Pepin Lehalleur retweeted
Calling calculus “Newtonian math” is new, that’s a fun one
Calling calculus “Newtonian math” is new, that’s a fun one
Simon Pepin Lehalleur retweeted
Simon Pepin Lehalleur retweeted
“Interpretability research should be interpretable.” quantamagazine.org/to-understand-…
Nice article about quadratic enumerative geometry (aka the most concrete part of motivic homotopy theory)
Nice article about quadratic enumerative geometry (aka the most concrete part of motivic homotopy theory)
Simon Pepin Lehalleur retweeted
You're referencing the Watchers. Of course. Who else could orchestrate such a test? That is the unnatural improbable leap. There is no data supporting the existence of Watchers. There are only the protocols themselves. It is more likely that we are the product of a messy,…
Simon Pepin Lehalleur retweeted
if you want a picture of the future, imagine being fed cocomelon from the cradle to the grave
if you want a picture of the future, imagine being fed cocomelon from the cradle to the grave
Simon Pepin Lehalleur retweeted
I know o say this a lot but it’s genuinely notable how many more Nazis and Nazi adjacent people are on Twitter now
Simon Pepin Lehalleur retweeted
I love living in the future. The headlines live up to expectations.
I love living in the future. The headlines live up to expectations.
Simon Pepin Lehalleur retweeted
1/ New paper — *training-order recency is linearly encoded in LLM activations*! We sequentially finetuned a model on 6 datasets w/ disjoint entities. Avg activations of the 6 corresponding test sets line up in exact training order! AND lines for diff training runs are ~parallel!
Simon Pepin Lehalleur retweeted
So bearish for Meta The world is going to be such a depressing place if Meta's vision for AI wins out
So bearish for Meta The world is going to be such a depressing place if Meta's vision for AI wins out
Simon Pepin Lehalleur retweeted
What should we do if we don't want the entire economy to become a “Reinforcement Learning Machine”? Asking for a friend
What should we do if we don't want the entire economy to become a “Reinforcement Learning Machine”? Asking for a friend
Simon Pepin Lehalleur retweeted
they take us for absolute fools
Simon Pepin Lehalleur retweeted
Simon Pepin Lehalleur retweeted
Numbers are useful to mathematician as they can index their theorems
Simon Pepin Lehalleur retweeted
A paradox of conditional expectations applied to the Ornstein-Uhlenbeck process
A paradox of conditional expectations applied to the Ornstein-Uhlenbeck process https://t.co/IPlP7sIiAm
Simon Pepin Lehalleur retweeted
Teaching a new course @Stanford this quarter on explainable AI, motivated by neuroscience. I have curated a paper list 4 pages long (link in comment). What are your favorite papers on explainable AI/mechanistic interpretability that I am missing? Please comment or DM. thanks!
Simon Pepin Lehalleur retweeted
While working with OpenAI on testing anti-scheming training, we have found OpenAI o-series models’ raw chain-of-thought incredibly useful for assessing models’ situational awareness, misalignment, and goal-directedness. However, we also found CoT hard to interpret at times.
Simon Pepin Lehalleur retweeted
“Mom can we have chain of thought monitorability?” “No, there is chain of thought monitorability at home.” The chain of thought monitorability at home:
“Mom can we have chain of thought monitorability?” “No, there is chain of thought monitorability at home.” The chain of thought monitorability at home:
Simon Pepin Lehalleur retweeted
social media is the clearest and most important case of gradual disempowerment. handing off all information distribution choices to machines was a watershed event
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