Omar Sanseviero @osanseviero Grok weights are out. Download them quickly at https://huggingface.co/xai-org/grok-1 huggingface-cli download xai-org/grok-1 –repo-type model –include ckpt/tensor* –local-dir checkpoints/ckpt-0 –local-dir-use-symlinks False Learn about mixture of experts at https://hf.co/blog/moe Replying to @osanseviero It seems there is a conflict between saying “Grok-1 open-weights model” and “Due to the large size of the model (314B parameters),
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Alpha Alimamy Kamara @alpha_alimamy Graph Neural Networks as gradient flows by @mmbronstein in @TDataScience https://towardsdatascience.com/graph-neural-networks-as-gradient-flows-4dae41fb2e8a?source=social.tw Replying to @alpha_alimamy @mmbronstein and @TDataScience If you expose your neural nets to continuously increasingly complex streams, it will not get bored and fall into simple patterns. It is not the algorithm that gets lazy, it is the input that
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Laboratory for Social Minds @LaboratoryMinds  How does, like, information, flow in conversation? How do, uh, speakers and listeners, like, cope? We use LLMs and CANDOR to measure the information rate of human speech (just 13 bits/second!), and how disfluencies and backchannels help us manage it. https://arxiv.org/abs/2403.08890 Replying to @LaboratoryMinds Then you should be able to
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PNASNews @PNASNews  As temperatures rise, which regions will experience the most severe effects of #drought, #flood, and stifling #heat? Explore these #interactive global maps for insightful projections: https://ow.ly/gBtM50QTvOi #wetbulb #ParisAgrement #IPCC #ImpactAttribution #ClimateChange https://pic.twitter.com/ZwjvzK7nwM Replying to @PNASNews Suggest you work out the economic value to local people and to the global economy of greening all
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Sophien Kamoun @KamounLab  I just published: What’s a toxic environment for a PhD student? Being aware of potential red flags when selecting a host lab is crucial. Here are some issues I’ve witnessed over the years. #phdchat #AcademicChatter Sophien, you might want to create a global open sharing site that will last hundreds of years,
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Liset M de la Prida @LMPrida Our latest paper with @acnavasolive & @adrubio1999 is out in @CommsBio A machine learning toolbox for the analysis of ripples across species https://nature.com/articles/s42003-024-05871-w In collaboration w @perpl_lab & @SAbbaspoor we found that AI algorithm trained in 🐁 could be applied to https://pic.twitter.com/MRVTgUOSkN Replying to @LMPrida @acnavasolive and 4 others
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Nicoletta I Petridou @petridou_ni Finally ⁦@APSphysics⁩! Join us at invited session G06 tomorrow at 11:30am room L100FG to discuss how cells “learn” to perform functions from the collective properties of the tissue they are embedded in! https://pic.twitter.com/PxRfOE1PdGhttps://pic.twitter.com/PxRfOE1PdG Replying to @petridou_ni and @APSphysics 5 Billion humans with some access to the Internet and APS serves only
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Joshua Weitz @joshuasweitz Official release is one day away. Quantitative Biosciences: Dynamics Across Cells, Organisms, and Populations is available in paperback and Kindle including computational companions in Python, R, and MATLAB: https://bit.ly/qbios_book_amazon Joshua Weitz @joshuasweitz Another update… after nearly 10 years in development, delighted to share news that ‘Quantitative Biosciences: Dynamics across Cells, Organisms, and
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