The author cites a study (Rozado, 2024, in PLOS ONE) that supposedly shows the base models (before assistant-specific post-training) basically scored at the center (0, 0).
I'm not a mathematician, but I don't think that's true..? It's just that some problems are considered "hard" or known to have been "open" for a long time or that involve some clever/pioneering new technique. There's tons of math papers out there that are in some technical sense a novel contribution but in practice just languish without much attention except maybe from like two other people working in the same subfield.
> Emojis don't even render the same on every platform
This is a feature, not a bug. That it's using your platform-specific emojis makes it easier to scan, since it's the ideograms you are already accustomed to. Much faster to scan familiar symbols than to read each section heading serially.
I'm not convinced this is a problem. For example, all the folks who developed convex analysis for its pure geometric and mathematical beauty in the land of pure Platonic forms, well their work was still useful downstream for all of us doing convex optimization and dealing with log-concave probability distributions. So no harm, no foul.
I wouldn't say it's gentle but it certainly is a great book. Great exercise problems. Some of the proofs are so elegantly done, especially the way calculus of variations is avoided.
David Mackay's book hand holds a little more than Cover and Thomas, although it's remit is more than just information theory.
The CuRe Trial is exploring whether stem cells can add regenerative power to surgery, potentially improving mobility and quality of life.
“This is a major step toward a new kind of fetal therapy, one that doesn’t just repair but potentially helps heal and protect the developing spinal cord,” said Aijun Wang, co inventor of the placental-derived stem cell treatment technology and the study’s co-principal investigator [ . . . ].
They cite this paper which gives the concept: https://www.sciencedirect.com/science/article/pii/S002234681... . The mechanism of injury in spina bifida is that the spinal cord gets exposed and damaged. Current surgery will close the spinal canal to prevent further exposure, but it doesn't do anything to reverse the damage that has already happened. The stem cells integrate into the neural tissue and hopefully help the axons heal.
And I would further add: In addition to performance, Julia's language and semantics are much more ergonomic and natural for mathematical and algorithmic code. Even linear algebra in Python is syntactically painful. (Yes, they added the "@" operator for matmul, but this is still true).
https://unslop.run/blog/assets/exp13/f7_context.png
reply