!Briann🗿

4.1K posts

!Briann🗿

@Access2B

data and for the fun of it

San Junipero Sumali Şubat 2022

183 Sinusundan77 Mga Tagasunod

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✮✮✮@inclusivetwts·7h

long ass weekend imenipata na mia

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!Briann🗿@Access2B·11h

@space_colonist @AnthropicAI You got a slot for one more?

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Martian@space_colonist·13h

I’m pleased to announce I will be leading a new team on VLA interpretability @AnthropicAI

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disha@yzybby·1d

parents love giving you job hunting and career advice that are like “Have you tried destroying and betraying yourself for nothing”

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!Briann🗿@Access2B·12h

@IamIronLAN Damn they even learning mech interp😐🙂

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krish@IamIronLAN·18h

Stanford is kinda crazy because as a CS undergrad this term you’re choosing between: - CS336: 0 to hero on frontier model training - CS224R taught by Chelsea Finn (founder of Pi) - CS231N taught by Fei Fei Li (Imagenet, WorldLabs CEO) - CS221M Mech Interp Intro taught with Goodfire And a host of personal podcasts delivered by $T CEOs.

Jesse Mu@jayelmnop

protip for stanford undergrads: beware the classes with guest speaker lineups that read like AI coachella. you’re basically paying $5k to listen to a live podcast series.

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maeva@maevaemiliaa·1d

i tried in january i tried in february i tried in march and i will try again in april

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mizukii@mizukiiverse·2d

btw i’d swallow 20 cursed fingers for you, but you’re not nerdy enough to understand

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CJB, Esq.@CJoeBlack·1d

This is why elite universities are elite universities.

Reva Jariwala@reva_jariwala

how is this a class? absolutely insane line-up

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!Briann🗿@Access2B·1d

No way I am discovering As You Are by the Weeknd rn...he will ask for water when I am done with this song

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tender@tenderizzation·2d

>72B MoE MNIST classifier

Ethan@torchcompiled

ML interview question: You’re training a 72B MoE MNIST classifier. Layer 53 MLP expert 7 destabilizes when the ones in the dataset are turned upside down. What happened?

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Nick Khami@skeptrune·2d

"claude usage limit reached. your limit will reset at 7pm"

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Boris Cherny@bcherny·1d

👋 it was human error. Our deploy process has a few manual steps, and we didn’t do one of the steps correctly. We have landed a few improvements and are digging in to add more sanity checks. Like with any other incident, the counter-intuitive answer is to solve the problem by finding ways to go faster, rather than introducing more process. In this case more automation & claude checking the results.

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