Hardik
@hardikvala.com
curr: loading... prev: yc s23, ml eng @ google, apple i dont endorse anything I say
tried some hyperlocal queries against my fav ai web searches, e.g. - "Massage parlors that offer couples massages in Soma, SF" - "All cafes open past 6 pm PT on Sunday in downtown San Mateo, with space to work and outlets." disappointed by the results 😞
Yelp's AI search: Rating: 1 star Review: I asked, "give me cafes that are open past 6 pm PT on a sunday in downtown san mateo, with space to work and outlets." Only 1 result is in san mateo, and it's not located downtown.
If you're not using the most powerful model for your therapist prompt, you don't love yourself.
founder Sanity = traction − comparison...boy, I'm deep in the negative right now.
man, the #claude ux is not friendly to mcp connectors serving images. my bit.ly/tensordiagram mcp server can add tensor visuals to help with deep learning explainers, but the end ux here is not seamless...
nobody asked for somebody to create a a visual explainer for torch.linspace. I did it anyways. #TensorViz
burned too many tokens to get CC to draw a tensor with thanksgiving colors using bit.ly/tensordiagram
I came across this meme over a year ago, and it still makes me laugh.
Got addicted to @srushnlp.bsky.social 's Tensor Puzzles, so I wrote a sequel with more puzzles: github.com/hardik-vala/.... Example:
using None as an index value for torch tensors adds a new dim. ludicrously simple when visualized.
"Quit the wrong stuff. Stick with the right stuff. Have the guts to do one or the other." — Seth Godin, The Dip A questionnaire I've developed up over years to navigate major stick or quit decisions: hardikvala.com/blog/stick-o... Answer with your gut, not your brain.:
⛰️ stick or quit: a manual
hardik vala: technical founder (yc s23, ex-google, ex-apple)
hardikvala.com
Creating these visuals is addictive, but getting out of hand. Had to see the difference between torch chunk and unbind, but this visual doesn't need to exist. #TensorViz
Not my best work. Created a visual of torch's transpose op over 3d tensors, but I don't know if the random coloring is instructive or confusing. #TensorViz
TIL `tensor[None]` is just a shorthand for `tensor.unsqueeze( 0)` in torch.
Me: “who’s your favorite entrepreneur?” GF: “you” Me: “I’m not an entrepreneur. I’m a fraud.” GF: “that’s most entrepreneurs” Me: “good point”
This is a cool resource: github.com/nayafia/lemo... . Documents a bunch of ways to make money with open source, with pros and cons of each approach.
GitHub - nayafia/lemonade-stand: A handy guide to financial support for open source
A handy guide to financial support for open source - nayafia/lemonade-stand
github.com
Started a visual explainer for the torch op, `chunk`. The full explainer will have different arg combinations for no. of chunks and dim.
Framework lock-in is definitely not a day 0 / pre-PMF concern. mlechner.substack.com/p/why-we-sta...
whytorch.org is quietly addictive. It's been fun playing with pytorch tensors in a visual format. Not affiliated with the project. Just a fan.
Fed up with trying to imagine chains of tensor transformations in my head, wrote a library to relieve my pain: github.com/hardik-vala/.... Lets you visualize torch, jax, tf, numpy tensors in notebooks and other python contexts, for understanding and debugging. Enjoy.