Ran Feldesh

[Ran Feldesh @RanFeldesh]

@ItaiYanai Does this hint that there is more to life than writing academic papers? (or discovering new facts about the world)

[Ran Feldesh @RanFeldesh]

@shaharbrr @NatureMicrobiol Congrats Shahar 👏!

[Ran Feldesh @RanFeldesh]

@rasbt Thanks ! Will definitely read. Which software do you use for producing such beautiful diagrams?

[Andrej Karpathy @karpathy]

# on technical accessibility

One interesting observation I think back to often:
- when I first published the micrograd repo, it got some traction on GitHub but then somewhat stagnated and it didn't seem that people cared much.
- then I made the video building it from scratch, and the repo immediately went through hockey stick growth and became a verty often cited reference for people learning backpropagation.

This was interesting because the micrograd code itself didn't change at all and it was up on GitHub for many months before, stagnating. The code made sense to me (because I wrote it), it was only ~200 lines of code, it was extensively commented in the .py files and in the Readme, so I thought surely it was clear and/or self-explanatory. I was very happy with myself about how minimal the code was for explaining backprop - it strips away a ton of complexity and just gets to the very heart of an autograd engine on one page of code. But others didn't seem to think so, so I just kind of brushed it off and moved on.

Except it turned out that what stood in its way was "just" a matter of accessibility. When I made the video that built it and walked through it, it suddenly almost 100X'd the overall interest and engagement with that exact same piece of code. Not only from beginners in the field who needed the full intro and explanation, but even from more technical/expert friends, who I think could have understood it if they looked at it long enough, but were deterred by a barrier to entry.

I think as technical people we have a strong bias to put up code or papers or the final thing and feel like things are mostly self-explanatory. It's there, and also it's commented, there is a Readme, so all is well, and if people don't engage then it's just because the thing is not good enough. But the reality is that there is still a large barrier to engage with your thing (even for other experts who might not feel like spending time/effort!), and you might be leaving somewhere 10-100X of the potential of that exact same piece of work on the table just because you haven't made it sufficiently accessible.

TLDR: Step 1 build the thing. Step 2 build the ramp. 📈
Some voice in your head will tell you that this is not necessary, but it is wrong.

[Thoughts of Dog @dog_feelings]

i know. you’ve got a lot going on right now. but guess what. i love you

[Garry Tan @garrytan]

The key is to keep doing the work without blowing yourself up

Compounding takes care of the rest

[Ran Feldesh @RanFeldesh]

@brown_birds Ask her to use ChatGPT to suggest "clear and professional rephrases" of her paragraphs, which she could potentially learn from.

[Ran Feldesh @RanFeldesh]

@danilobzdok @Cobratate Fascinating, Thank you. I was looking for Wilde's original writing. While commonly attributed to him, there might not be a published artifact by Wilde with that quote ("There is no substantive evidence that Oscar Wilde made this remark." https://t.co/Cc77ViWveh). Couldn't find it

[Ran Feldesh @RanFeldesh]

@neuroecology https://t.co/TI9bgFB0An

[AK @_akhaliq]

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
abs: https://t.co/C6Dq7bX9VK
project page: https://t.co/6nTi6yb8xN
github: https://t.co/mnfKG8Nhj2

[Emad @EMostaque]

Nothing major, just take brain recordings and reconstruct what folk are seeing at the time from them.

Exponentials eh.

[Ran Feldesh @RanFeldesh]

@sbarolo That looks interesting and relevant. I wonder,
are there more books about "How younger people made their way in culture-x" ?
Where 'culture-x' could be 'the US in the 19th century', 'China in the first 20th century', or any other ?

[Jean-Michel Lemieux @jmwind]

Following the advice in this slide will kill your company. 🧵

[HOW THINGS WORK @HowThingsWork_]

The Math Dance https://t.co/aUurdJVtaV

[Ran Feldesh @RanFeldesh]

@matthelm @tobi @harleyf Matt, you were leading the development of key features, tech, and data models at Shopify over the years. Enjoy the outdoors. Your next tech adventure will be fascinating I'm sure, and you'll make a big difference. I'm thankful for having worked with you.

[Ran Feldesh @RanFeldesh]

@antonhowes What would be a good book about the history of patents?

[Ran Feldesh @RanFeldesh]

@mnvrsngh @sebastianjunger @ThatChrisRyan What is the best book about this ?

[Ran Feldesh @RanFeldesh]

@lpachter @MHendr1cks @ctmurphy1 @OdedRechavi @aexbrown @EvYemini Hmmm interesting ! How can this observation become a scientific discovery ? Do some odors / pheromones block learning of other odors present at the same time ?

[Ardem Patapoutian @ardemp]

Here it is!

[Ran Feldesh @RanFeldesh]

@cdmpatra @seanmcarroll Love it. Is there any intro resource on quantized space?

[Ran Feldesh @RanFeldesh]

@risi1979 Hey :) this was published yesterday im Nature
https://t.co/ZkQI6ZsYv7