Saurabh Bhatnagar
@analyticsaurabh
http://tora.bohita.com First Fashion Recommendation ML @ Rent The Runway 🦄, Founded ML at Barnes & Nobles. Past, @Virevol, Unilever, HP, ...
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I just published “How I scaled Machine Learning to a Billion dollars: Strategy” medium.com/p/how-i-scaled…
Bites taken out by both Veo and Sora today Warrants a whiskey But have something up the sleeve
Feels like my Id talking
Every research lab will get these even if you have providers. Such a no brainer
the first demo was to use ICARE (arxiv.org/abs/2508.02808) on DGX Spark to compare radiology notes in a semantically meaningful way. this demo shows the potential of local supercomputers on clinicians' desks. (3/6)
I can’t understand how stupid people can be when they cheer for ‘their’ side I wonder if I’m stupid too
The word of 2025 AFAICT is "grind". But it's not meant to be a grind. If you don't find solving problems with code fun and interesting, then you might want to try a different career. Or maybe you need a break! (I love it, and it never feels like a grind.)
Field day: Went viral on Sora yesterday Made hotdog a trend (sorry!) Tested a few important things about recommendation systems Theory is nice but you have to play the game to see it. Now hibernating…o
When the work is beautiful and coherent It’s always only one person
Not a team, work of one excellent design engineer @roozm We’re growing the team tho neuralink.com/careers/apply/…
Two actually with a different hook (it decided) because you don't know what will work
This is what it launched Will it win every time? It should do better, but it doesn't matter Will we learn? Absolutely
This is what it launched Will it win every time? It should do better, but it doesn't matter Will we learn? Absolutely
This is Tora that launches consistent on brand video campaigns Consistent characters, beautifully audio mixed, etc Then analyze feedback And we iterate on it using itself This is one small but necessary part of…
This is Tora that launches consistent on brand video campaigns Consistent characters, beautifully audio mixed, etc Then analyze feedback And we iterate on it using itself This is one small but necessary part of…
To generate 1K tokens, an LLM with 100 layers needs to go through 100*1,000 = 100,000 layers To generate any amount of tokens, TRM do 16 reasoning steps of 2*7*3=42 depth for a total of 16*42 = 672 layers
Full ML loops
This is why you build end to end More soon
lessons from those of us who drew workflow diagrams for a living 1. never optimize single components. optimize critical path. single node prompt opt will fail. 2. do it in code. seek professional help.
Then apologized to their friends who had debated them along the way “You were right” they reportedly texted “that wasn’t hyperbole” Lesson in there
“I voted for none of this." Prominent influencers, including Theo Von, Joe Rogan, and Andrew Schulz, are starting to distance themselves from the president they helped propel to the White House. Story: rollingstone.com/politics/polit…
Regular reminder that image pre-processing also determined this: * CLIP loses context because center cropping images caused a mismatch between images and text. * SigLIP learned to decode squished, funhouse mirror style images. * And input images are often greatly scaled down.
< Choosing a Vision Backbone > your model’s backbone is its perspective pick ResNet, and it sees in edges pick a ViT, and it sees in patches the backbone decides how your model thinks here are some of the most practical backbones and when you should choose them, from the…
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