Jack Clark   @jackclarkSF

@AnthropicAI, ONEAI OECD, co-chair @indexingai, writer @ https://t.co/3vmtHY2zuU Past: @openai, @business @theregister. Neural nets, distributed systems, weird futures





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Jack Clark    @jackclarkSF   ·   10/4/2021
Hiring for people to help synthesize metrics around AI ethics and AI alignment, as well as hiring for people working on our 'Global AI Vibrancy Tool' index. These roles will yield public outputs that improve the information in the index and which therefore will impact policy.
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Jack Clark    @jackclarkSF   ·   10/12/2021
Chinese company Inspur comes out with a 245B parameter language model. This follows other Chinese GPT3 equivalents, like Huawei's PanGu. Notable that one of the research contributions from Inspur is a system for massive internet data scraping and filtering.
 
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Jack Clark    @jackclarkSF   ·   10/11/2021
One way to work on power asymmetries in AI development is to broaden range of AI developers from industry to also include academia - Stanford has a job ad out for a very high-impact engineering role to support training of large-scale AI models. https://t.co/0P9vFSpn8u
 
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Jack Clark    @jackclarkSF   ·   10/12/2021
Inspur announcement was roughly same time (within a week) of Microsoft announcing its GPT3 successor, which weighs in at ~530B parameters. https://t.co/Ftvo87RPKl
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Jack Clark    @jackclarkSF   ·   10/12/2021
Here's the Inspur paper: https://t.co/A1w4TomNRr Writing up for this week's Import AI. Very notable that all the GPT3 replications have come from industry. Academia nowhere in sight (except in China, where BAAI has been training vast models like Wu Dao).
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Jack Clark    @jackclarkSF   ·   10/7/2021
2021 vibe is military information being declassified by military nerds just trying to play their game.
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Stanford NLP Group
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François Chollet
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Leo Boytsov
Research engineer @bosch_ai previously ph-D student @LTIatCMU : dabbling in CV, IR, and NLP. I speak πtorch and C++. I remember dependency parsing & USSR.

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