Nitarshan Rajkumar Profile Banner
Nitarshan Rajkumar Profile
Nitarshan Rajkumar

@nitarshan

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🇨🇦. Co-founded @aisafetyinst . Co-created AI Safety Summit and UK AI Research Resource. PhD @cambridge_cl . ex @mila_quebec , @airbnb , @uwaterloo

San Francisco, CA
Joined May 2012
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@nitarshan
Nitarshan Rajkumar
2 months
I’ve left the UK civil service, after two years spent creating the @AISafetyInst , AI Safety Summit, AI Research Resource, and more. It was an honour and a privilege. There’s lots left to do, and I’ll continue to work on advancing global progress in AI. Onwards and upwards 🌁
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@nitarshan
Nitarshan Rajkumar
5 months
So proud of what the team is putting together here, and particularly excited to have Shahar Avin joining us to lead this alongside Chris Summerfield! More info here:
@AISafetyInst
AI Safety Institute
5 months
We are announcing new grants for research into systemic AI safety. Initially backed by up to £8.5 million, this program will fund researchers to advance the science underpinning AI safety. Read more:
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@nitarshan
Nitarshan Rajkumar
2 months
Ben has been an exceptional force for advancing the UK’s science and tech leadership. A huge loss for the country to lose him from the civil service, but a huge gain for whoever gets to work with him next.
@ersatzben
Ben Johnson
2 months
After a whirlwind few years, it’s time for me to leave government. Will stay based in London, resuming my Strathclyde professorial role and a few interesting irons in the fire. Onwards! 🚀
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@nitarshan
Nitarshan Rajkumar
2 years
Hans Moravec, as usual, writing far ahead of his time (1997):
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@nitarshan
Nitarshan Rajkumar
2 years
“True” art “Actual” understanding “Real” intelligence 🤡🤡🤡
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@nitarshan
Nitarshan Rajkumar
4 years
@fhuszar @jeremyphoward @OpenAI CLIP uses 400M text-image pairs scraped from the internet, I assume DALL-E uses the same dataset.
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@nitarshan
Nitarshan Rajkumar
2 years
@tszzl
roon
2 years
everyone loves the graph TM
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@nitarshan
Nitarshan Rajkumar
2 years
From via @gwern ’s wonderful essay on scaling . Further discussion on the paper, between Moravec and peers (including @robinhanson and @anderssandberg ), at .
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@nitarshan
Nitarshan Rajkumar
2 years
Great ideas on how to bring more creative diversity into UK science. Let’s make them happen.
@AnEmergentI
James W. Phillips
2 years
Alongside ARIA, our sci/tech team wanted to create a 'twin for ARIA' composed of physical labs organised very differently to conventional research environments to pursue groundbreaking research and invention, putting young scientists first. Read more here
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@nitarshan
Nitarshan Rajkumar
4 years
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@twiecki
Thomas Wiecki
4 years
Announcing the work we started on Theano-JAX: Using JAX as a backend for Theano, which is still amazing for its maturity, hackability, graph-simplifications, symbolic diff and much more. Contributions welcome:
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@nitarshan
Nitarshan Rajkumar
3 years
@dece I miss Dave Cummings
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@nitarshan
Nitarshan Rajkumar
2 years
One nation under GPT
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@nitarshan
Nitarshan Rajkumar
2 years
@armandjoulin @giffmana I think that particular example has always been flawed — it’s not clear whether humans use any sort of causal reasoning for it
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@nitarshan
Nitarshan Rajkumar
2 years
Make love, not AGI
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@nitarshan
Nitarshan Rajkumar
2 years
@josephdviviano @FelixHill84 DALLE2 can handle that
@Plinz
Joscha Bach
2 years
@GaryMarcus @gdb I asked #dalle to try harder and it did not work because the horse was too heavy. I think OpenAI needs to retrain the model with lighter horses?
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@nitarshan
Nitarshan Rajkumar
2 years
Much to do here!
@ilangur
Ilan Gur
2 years
AI for public benefit - Few industrial labs pushing frontier AI way beyond capabilities of gov/org - Limited mechanisms to explore public benefit & 1/risk in these systems. - UK has talent pool to solve hard (sociotechnical) problems re access, alignment, trust, risk, etc. /5
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@nitarshan
Nitarshan Rajkumar
4 years
@boazbaraktcs @whybansal These results seem to be more about linear classifiers than SSL - if you used a supervised model as your (frozen) feature extractor, and trained a linear classifier on top, you would likely see low generalization gaps under noise as well right?
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@nitarshan
Nitarshan Rajkumar
2 years
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@nitarshan
Nitarshan Rajkumar
2 years
Great idea for future library systems!
@vladquant
Vlad
2 years
2. Public search engines provided by the government. Equal access to information should be a fundamental right, guaranteed by law. The would continue the role that public libraries had for centuries.
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@nitarshan
Nitarshan Rajkumar
4 years
@whybansal @boazbaraktcs Ah good point - I was considering a baseline setting in which you’d supervised pretrain with correct labels and then train the linear classifier with increasingly noisy labels.
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@nitarshan
Nitarshan Rajkumar
3 years
Absolutely correct.
@max_a_schwarzer
Max Schwarzer
3 years
As we watch Putin destroy Ukraine's democracy, we in the Western left must abandon isolationism once and for all. The thieves, thugs and fascists ruling Russia and China do not respect our ideals and have no interest in letting us improve our own societies in peace.
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@nitarshan
Nitarshan Rajkumar
2 years
@ATrotmanGrant Hey, have you seen or contribute/collaborate with that?
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