electricalrazor @electricalrazor

TBD Boston, MA Joined August 2009

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electricalrazor @electricalrazor

a year ago

Do you remember when you joined X? I do! #MyXAnniversary

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Bojan Tunguz @tunguz

2 years ago

Machine Learning can be an overwhelming field when you first start out. But with years of study, experience, and hard work you'll realize that you know even less than you had thought.

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I think people underestimate how hard it is to train a large model like GPT-3 and up. Lots of challenges arise when reaching billions parameters, let alone 10B+ params (data management, training stability, parallelism...). Only a few have succeeded so far and the recipe is not…

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electricalrazor @electricalrazor

2 years ago

Do you remember when you joined X? I do! #MyXAnniversary

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electricalrazor @electricalrazor

2 years ago

Bloodborne™ Father Gascoigne (BRONZE) #PlayStationTrophy #PS5Share, #Bloodborne

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Alejandro Piad Morffis @alepiad

2 years ago

Computer Science was never about coding. It is about solving problems. Coding has just been necessary step so far, because we haven't found a better way to talk to computers. If AI makes coding obsolete, that will only make CS knowledge more valuable.

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Praveen Gopal Krishnan @peegeekay

3 years ago

During the Bangalore floods, an area that was badly affected was Outer Ring Road i.e ground zero of tech companies. In all the footage, you'll notice a red skywalk appear again and again. There's a story behind this skywalk. And it's a metaphor for the city's urban governance.

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Derek J. Grossman @DerekJGrossman

3 years ago

Really good and necessary revision. High time India got credit, and not in a colonial context which is insensitive and irrelevant.

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Reuters @Reuters

5 years ago

How India's Silicon Valley saw its COVID-19 success come undone reut.rs/32tKUca by @sachinr27 @derekfrancis089 @tweetsfromnivi

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BURKOV @burkov

6 years ago

Smile!

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Caitlin Hudon @beeonaposy

6 years ago

A small sample of data science mistakes I've made so far 👇

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The Tesla Show @TheTeslaShow

6 years ago

“A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train 🔥. Together, they output 1,000 distinct tensors (predictions) at each timestep.” New Tesla Autopilot page, tesla.com/autopilotAI