rohan anil @_arohan_
co-founder, board @coreauto - and continuing to aspire to understand deep learning. Joined December 2017-
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@theycallmeMohan @code_star There are always exceptions
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rohan anil retweeted
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that. Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
Guys I don’t run @coreauto account its @joannejang or @MillionInt
One good way to hire is when the candidate show up not knowing it was an interview.
I believe only way this could even work is if someone talks about gradient descent, otherwise what is even the point.
OPENAI to EMPLOYEES: If someone is trying to seduce you, first consider — could they be a spy??? OpenAI is warning its employees about honeypot spies and strangers with children in playgrounds ... a very fun one with @georgia_wells and @MeghanBobrowsky: wsj.com/tech/ai/ai-com…
rohan anil retweeted
How should we rebrand learning that’s actually deep?
@RylanSchaeffer Actually though counting critical points doesn’t tell you how likely an optimizer is to encounter them as their attraction basins matter.
@RylanSchaeffer @eliebakouch @zacharynado Waiting for access, hopefully resolved today
Doing this for @zacharynado I want to believe
I am looking to try Gemini 4 Argon today and will let you all know how good it is.
We have three alphas in core auto: Always be scaling Everything is a skill issue Be like @anmol01gulati
@nathancgy4 @Kimi_Moonshot Beautiful work on architecture and kernels!
My experience is Google's main training systems all the way from Sibyl to RankBrain to Gemini pretraining and the hustle behind Nano and Flash. Recently at Anthropic pretraining research upto Mythos, and now at Core Automation so I can finally automate training to fullfill my eventual goal to be a youtube podcaster and build a restaurant 👨🍳 after we automate everything about training.
Bit more than a decade in training, no pain no train. 💪 @BEBischof nerd sniped me into this talk with offer to have a Cat to give the keynote. Still Training: A Decade of Learning the Hard Way @ Reverie by LanceDB on Nov 5 in SF 🌉 You get to hear me about distributed training from the trenches: Hardware codesign, async and sync training -- when we almost decided to put async into chips From big batch gradient descent with parallel boosting from stochastic optimization with duals to online learning where we had regrets, to higher order methods that scale that was almost second order that nobody believed it.
@melvinjohnsonp @zacharynado You never responded to going to movies or dinner, so I guess you have been cooking well 🤗
@HessianFree when can we get ternary quant 🐐
Love these guys at @bespokelabsai 🔥
We are excited to announce Bespoke Nimble-v4, our decision models. Scoring 68.4 on the Decision index, ranking at no1 , +10.50 points over Jev 1.13.
@a__tomala I want to know, will report back when I get it
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