Sign in

tb

@tanaybiradar.com
47 followers 95 following 17 posts

cs @ ucsb thoughts on whatever i feel like (often ml and life) i might be wrong, opinions subject to change tanaybiradar.com

PostsRepliesMedia
tb @tanaybiradar.com · 26/02/2025
Burning through my Anthropic credits while testing Claude Code... Tested it out on an IRL Github frontend issue. Seems to work pretty well (but it's really expensive)
000
tb @tanaybiradar.com · 11/12/2024
Landscape shots like this are high-quality enough to compete with stock video providers. Unfortunately, I wouldn't be surprised to see their revenues tank soon.
000
tb @tanaybiradar.com · 11/12/2024
Storyboard includes, "The student steps onto the wing strut, balancing carefully, and looks contemplatively towards the horizon." That isn't the wing strut...
100
tb @tanaybiradar.com · 11/12/2024
Feels like Sora is having the same moment that Gemini had after release. Very technically impressive, but Sora hasn't delivered on the expectations/hype. It only seems to work well for a few types of clips (ex. news, landscape shots). Physics/interactions between objects are notably low-quality.
100
tb @tanaybiradar.com · 11/12/2024
this ai startup boom is showing that silicon valley (the show) has aged really well. life imitates art.
020
Reposted by tb
Kyle Lo @kylelo.bsky.social · 10/12/2024
the science of LMs should be fully open✨ today @akshitab.bsky.social @natolambert.bsky.social and I are giving our #neurips2024 tutorial on language model development. everything from data, training, adaptation. published or not, no secrets 🫡 tues, 12/10, 9:30am PT ☕️ neurips.cc/virtual/2024...
neurips.cc
NeurIPS Tutorial Opening the Language Model Pipeline: A Tutorial on Data Preparation, Model Training, and AdaptationNeurIPS 2024
514517
tb @tanaybiradar.com · 10/12/2024
There’s a book with the same title that I also highly recommend. Quantum Computing for Computer Scientists.
010
tb @tanaybiradar.com · 04/12/2024
on today's episode of weird math i learned: you can view complex numbers as (a+bi) in C, or as [a,b] in R2. so you can see functions as either a map from C->C or from R2->R2. the weird part: your function can be differentiable when viewing it as R2->R2, but not when viewing it as C->C.
110
tb @tanaybiradar.com · 27/11/2024
It's hard to communicate our experiences and ideas through words. There are so many layers between what I think, what I say, and what you understand. "Just because we’re using the same words doesn’t mean we mean the same things.... But let's try anyway." nathanieldrew.substack.com/p/how-to-hav...
nathanieldrew.substack.com
How to have more interesting conversations
When I stopped assuming I understood what people mean, it changed how I talk with them.
010
tb @tanaybiradar.com · 26/11/2024
still hallucinated the company though (AI2, not Together)
000
tb @tanaybiradar.com · 26/11/2024
tip-of-the-tongue search is an awesome use case for LLMs, and web search makes it way more powerful. now that LLMs have been in our hands for ~2 years, i feel like it takes a lot to impress me. i'm kind of surprised it took multiple prompts to get this right.
120
tb @tanaybiradar.com · 23/11/2024
What is the silliest scenario you can think of where Bayes' rule provides a decent probability estimate?
010
tb @tanaybiradar.com · 14/11/2024
SVD is one of the most beautiful parts of linear algebra: 1. View a matrix as a sum of rank-1 matrices 2. Read orthonormal bases for the 4 fundamental subspaces 3. Get a low-rank approximation, etc. Sadly higher order tensors are much harder to factorize for NN weight compression...
020
tb @tanaybiradar.com · 13/11/2024
Our human brains are so energy-efficient compared to today's AI training/inference. To be fair, we've also had billions of years for intelligence to evolve. Regardless, I wonder if neural networks and digital computing (as opposed to analog) are the wrong approach to intelligence.
020
tb @tanaybiradar.com · 08/11/2024
TIL: Concurrent programming in Rust can be sketchy—there's no defined memory model. Suppose you run a program on 2 machines with different ISAs. Outputs obtained on one machine may be *impossible* on the other. There are no guarantees about the order of memory reads/writes.
010
tb @tanaybiradar.com · 06/11/2024
Felt the itch to build something over the past week or so. Decided to start working on my own RSS feed reader that curates your content - no complicated algorithms! github.com/TanayB11/pap...
github.com
GitHub - TanayB11/papyrus: a simple rss feed reader with an SVM curation algorithm
a simple rss feed reader with an SVM curation algorithm - TanayB11/papyrus
020
tb @tanaybiradar.com · 05/11/2024
i think we’re conditioned to care about scaling our impact. it's the whole point of EA/utilitarianism. in theory you should get more fulfillment from this, but i feel like you get more fulfillment from changing *someones* world instead of changing *the* world. stevenscrawls.com/care-doesnt-...
stevenscrawls.com
Care doesn't scale
020
tb @tanaybiradar.com · 04/11/2024
did some competitive programming today. it's amazing how much you can enjoy doing difficult things after you stop caring about the outcome. "I am always sincere, but never serious." - Alan Watts
020