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 😞
when you accidentally leave your crawler running overnight 🤦♂️
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.
finally made sense of all the ways you can index tensors in pytorch / numpy #TensorViz
10. *If it scares you, it might be a good thing to try.*
Last one's just a reminder. For more context and nuance, check out hardikvala.com/blog/stick-o...
6. *If you quit now, will it increase your ability to get through the Dip on something more important?*
7. *Is your desire to stick motivated by sunk cost?*
8. *Are you letting pride get in the way?*
9. *Would you regret the journey if you quit now?*
0. *Are you panicking?*
1. *What exactly are you thinking of quitting?*
2. *Are you willing to be the best in the world?*
3. *Is your persistence going to pay off?*
4. *Are you making measurable progress?*
5. *How can you fail fast?*
"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.:
Wow, figma failed me
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.
seriously!? every time i open the app
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”
Visual explainer for the pytorch op, `torch.unbind` #TensorViz
From Seth Godin's book, The Dip.
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.
Finished the visual explainer for the torch op, `chunk`. #TensorViz
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.
torch.outer(a, b), visualized #TensorViz
(drawn w/ bit.ly/tensordiagram)
