Statistician, Associate professor, Chalmers University of Technology and University of Gothenburg

Joined January 2018
Apparently this is my claim to fame
obsessed with whoever saw gum on a sidewalk and was like "let me add this to the poisson distribution wikipedia article"
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Two and a half stones!
Replying to @MoritzSchauer
It must be more with a keystone. One brick lies across the middle and rests only on its two ends, on the tips of two cantilevers. It adds a full brick length to the span, while each side carries just half a brick’s weight at its tip. For example like this, for 2.5 brick lengths.
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Ok, 2,4 before it toppled :-)
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Claude thinks 2.68 is the max
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There is this little problem of maximal overhang of n bricks en.wikipedia.org/wiki/Block-…
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The best you can do with 4 bricks is 1.16789... (see arxiv.org/html/0710.2357) But what about a bridge of 8 stones? . Two optimal 4-brick stacks back to back, that is two times 1.16789?
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It must be more with a keystone. One brick lies across the middle and rests only on its two ends, on the tips of two cantilevers. It adds a full brick length to the span, while each side carries just half a brick’s weight at its tip. For example like this, for 2.5 brick lengths.
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DAG people rejoice! The link between understanding and problems is just collider bias from conditioning on solutions.
I disagree with Terence Tao's view of mathematics, which he articulated in a talk yesterday at Caltech (see slide below). Applied math problems are not disjoint from pure math problems. This is not a minor matter. So no, this is not a "more accurate model". It's embarrassing.
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Moritz Schauer retweeted
OpenAI issued PR statements saying they were interested in providing tools, not solving problems, then plowed millions of dollars of compute into solving problems. It is worth considering whether this has negative first order effects.
*Mathematicians did not ask for this work to be done" WTF?!! Since when was math something that was only done at the request of professional mathematicians?!! Mathematicians don't own mathematics! This is crazy!!
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Looks like we have a lot of thinking in the vicinity to do...
A lot of people—me included—do not enjoy reading LLM outputs. There’s an alternative! Personally I have always been very bad at reading mathematics. But you don’t have to read it by reading it, if that makes sense. Rather, you think in its general vicinity.
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Moritz Schauer retweeted
A lot of people—me included—do not enjoy reading LLM outputs. There’s an alternative! Personally I have always been very bad at reading mathematics. But you don’t have to read it by reading it, if that makes sense. Rather, you think in its general vicinity.
Replying to @JohnBal14046363
I once had a conversation with Akshay Venkatesh where he was explaining some result to me and I commented “wow, you read that [difficult] paper?” And he replied “well, I imagined I read it.” Made a big impression on me.
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Moritz Schauer retweeted
When German engineers design an LLM :
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Sick child last week - but the scientifically correct spider net kept us entertained.
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But the spider web itself is implemented using a small solver of Hooke's law that iteratively moves each free node in the direction of its net force. That is why adding a radius visibly shifts the hub and deforms the frame rather than simply drawing a new straight segment.
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That's quite a bit of lovingly filling in the details of my prompt.
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There is a difference between human intelligence and human level intelligence and in new things you must look for both
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It is of course now much more accepted than let’s say six stochastic parrots ago
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