Today at 1pm PT: @stanfordhai
's @drfeifei and @AmyZegart join other experts for the DC launch of the Stanford Emerging Technology Review. The discussion will highlight the findings of the SETR report on 10 key technologies and their policy implications: https://
setr.stanford.edu/events/stanfor
d-emerging-tech-review-dc-launch
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RESEARCH
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Stanford Emerging Technology Review DC Launch Event
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Non-invasive Brain Machine Interface advances and adoption concerns
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I think you are right. If the first thought of Brain Machine Interface is drilling into the cranium then I get it, I might want to wait on that one myself. But there are so many non obtrusive BMI efforts underway too.
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AI Essay Published in Science Magazine
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My #AI essay in the new issue of @ScienceMagazine https://
science.org/doi/10.1126/sc
ience.adn9602
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Google Scientists Named ACM Fellows for Computing Contributions
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Congratulations to Googlers Natasha Noy, @Jimantha
, & former Googler Ramon Caceres for being named ACM (
@TheOfficialACM
) Fellows, in recognition of transformative contributions to computing science & technology that have improved how we live, work & play. -
Reward-Free Curricula for Training Robust World Models
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Reward-Free Curricula for Training Robust World Models Rigter et al.: https://
arxiv.org/abs/2306.09205 #ArtificialIntelligence #DeepLearning #MachineLearning -
Reward-Free Curricula for Training Robust World Models
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Reward-Free Curricula for Training Robust World Models Rigter et al.: https://
arxiv.org/abs/2306.09205 #ArtificialIntelligence #DeepLearning #MachineLearning -
Advanced Magic Indistinguishable From Technology
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A sufficiently advanced magic is indistinguishable from technology
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Abacus AI Releases MetaMathFewShot Open-Source LLM Dataset
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We have several open-source AI contributions to share. MetaMathFewShot – open-source LLMs struggle on math and reasoning tasks. MetaMath is a popular dataset used to fine-tune open-source LLMs and improve performance. We’re introducing MetaMathFewShot which has a random number
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Fine-tuning Discussion: The Future of Smaller Open-Source LLMs
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Thanks for having @devvret_rishi on to discuss all things fine-tuning and why smaller faster open-source #LLMs are the future!