You are right, I was wrong. I have compared financial years, not actual years. There seems to be strong improvements with respect to revenue (66% TTM increase) and earnings per share (334% increase TTM).
Lofty valuation with a PE ratio of over 90 - even considering the growth and margins. Also almost no revenue growth in 2022/23 according to quickfs.net. Too expensive for my taste.
For modern mathematics, I think Alexander Grothendieck was one of the most influencial talents in the last century. He unified large branches of mathematics in a very short period. He was more a bird than a frog [1], however.
Happy to disagree here. I am hopeful that students get apps which provide them with
- fast feedback loops
- better adjustment to their learning speed
- more patience
- gamification
- oppurtunity to ask endless questions
Of course, only as an addition to the current mix. For math problems, this will be easier than for other contexts.
I like text books for pop science or really hard things - like university level education. But I am surprised to see them as an option for basic education.
Is Euler really well known in public?
Einstein is way more well known than Euler, I'd guess.
Even if you will ask most famous mathematician, it is unlikely that he is named. Probably Pythagoras.
I am mathematician by training. The algorithms relied mostly on undergrad level mathematics when I took some courses six years ago, not easy, but I think there are harder algorithms.
I think it is qualitatively different from programming, because you try to find a reasonable good fit for data you know to guess new future data. Classical programming relies on rules and decisions. ML is closer to numerics, statistics, simulations. Guess the function from the data vs define a function and programm it.
I had very similar experience with npm. Especially when you need to merge all the security updates for the sdk and all their dependencies. I also prefer interacting with the api, if it is straightforward.
But misunderstood, see below…