testless

Red wine being healthy is a myth.

But misunderstood, see below…

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.

Contract implies they hire a service, thus should not care how it was created, right?

IQ tests are forbidden in Germany during job application processes, afaik. So I am surprised this is legal.

I was just surprised;-)

I think Swiss. He was born in Basel.

[1] https://en.wikipedia.org/wiki/Leonhard_Euler

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.

[1] Bird vs. Frogs. https://www.ams.org/notices/200902/rtx090200212p.pdf

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.

Let's hope education indivualizes to the need and talents of the individual partially via software. ChatGPT is my hope here.

15% failure rate is optimal for learning

https://www.nature.com/articles/s41467-019-12552-4

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 have no data to back it up.

Ramanujan died early. He is another one which comes to mind.

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.

Correlation vs. causation maybe: Moderate drinking often correlates with socializing. Social connections are key for longevity.

Non-drinkers might have reasons not to drink. Like taking medicaments, health issues, etc.

Appoximately 7 kcal per gramm vs 4 kcal per gramm for sugar

Maybe this is why my Iphone seems to get slower every year.

I really liked the book Personal MBA by John Kaufmann as a cheap replacement for some of the knowledge.

For Webapps, chrome can emulate slow network and/or devices. For Kubernetes or Docker compose, you can restrict resources, I believe.

For Web apps, I think using lighthouse and the chrome tools to emulate slow devices goes a long way.

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.

I am really confused as to why this is considered as a tax break strategy. Operating costs directly lower earnings, where as R&D might have to be amortized over years - at least in certain european countries. Isnt this reinvesting in your business? Also spending (or donating) money lowers your taxes by lowering your earnings.

I think you meant supabase.com instead of superbase.com.

To automorphic forms, you can associate an L-function. There are similar conjectures about the zeros of those functions than for the Riemann Zeta function.

https://en.wikipedia.org/wiki/Grand_Riemann_hypothesis