hadjian

- Kitty terminal. My daily driver.

- Wikipedia

- Used to donate to visidata and will probably again, if I need it for work again

This article lists likely candidates for three categories and only one even contains Prevost.

I think the value lies in the mapping of heterogenous sources to one network that can be queried. How you arrive at conclusions derived from the information is human interpretation.

I’d be interested in how the facts were validated against the sources. Like debugging the mapping process.

This post is a treasure. I have too many itches to scratch and would want to know at least a ballpark figure for the time investment.

One suggestion for the already complete and detailed post: what is the personal/professional gain you get for your time investment? In this case maybe: „program design became clearer after having worked through SICO.“ or „I can discuss design more formally now“ or just „It was interesting and everyone talked about it, so I needed to know“

If this site didn’t appear here, I’d think it’s a scam:

- site claims to simplify papers, but movies AI generated

- full of ads

- Can’t find „Coconut“ on the official Meta FAIR page

Is this the best site to link to?

I respect you for that joke.

All the prices for DIY robots seem to be defined by the servo motor prices.

I will start by building the Koch robot arm with servos harvested from my kids toys. Let’s see how good that works.

Yes. I was really happy, when I discovered GPT3, because I could ask infinit „but why“s without being worried about annoying the tutor. Would be great, if the LLMs wouldn’t be such push-overs. I’d like to hear more „you’re wrong!“.

I agree, but I also hope for several revolutions in this space. Everything around educational offerings is horrible beyond compare:

- Classroom learning doesn’t cater to individuals

- Corporate learning programs that I came across were 100% useless

- Personal learning is unbelievably hard to organize (persistence, learning path, real world application…)

I had basically five wonderful experiences:

- Karpathy on YT ;-)

- Dash and Dot from Wonder Workshop

- Crafting Interpreters

- Gilbert Strang

Hope eureka labs becomes the sixth. Good luck Andrej!

Potentially stupid question: did she work with them and watched them live or is there some kind of recording?

Andreas worked professionally on WebKit at Apple and succeeded in writing SerenityOS from scratch.

So he is in a good position to decide on the approach and has proven he can finish things. I’d just trust him on this, if my opinion was even relevant.

But as it’s a for fun project, he can write a browser in Fortran and abandon it half-way ;-)

Did you really watch all videos in the playlist? I am at video 4 and had no background in PyTorch or numpy.

In my opinion he covers everything needed to understand his lectures. Even broadcasting and multidimensional indexing with numpy.

Also in the first lecture you will implement your own python class for building expressions including backprop with an API modeled after PyTorch.

IMHO it is the second lecture I can recommend without hesitation. The other is Gilbert Strang on linear algebra.

I thought the same thing. Most of them from Sharif, which is Iran’s equivalent of Stanford.

Congrats Saul! Hope it’s ok to solve this during Christmas, because of vacation ;-)