If you've been following along with many of the articles I've been writing and sharing, one thing is crystal clear: we cannot allow innovation to outpace people. I wanted to share this article by @RavinJesuthasan as it dives deep into how AI, particularly #GenerativeAI, is
RESEARCH
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PyTorch’s Functional Interface Design Evolution History
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fun fact: nn.functional wasn't part of the first design, and not part of the first 4 pre-releases; but then @szagoruyko5 convinced us that the functional interface in twitter/torch-autograd (in lua) was really nice to use for certain kinds of research; and that we must have
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ACL Conference: Why It Is Not an AI Conference
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Theme of this talk: ACL is not an AI conference (Actual timestamp is more like 43'50")
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How AI Will Transform Mathematics Into Uncharted Territory
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How #AI will take mathematics into uncharted territory. Good interview with Terence Tao by @matteo_wong
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IBM NASA develop AI model for weather climate prediction
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Developed by IBM and NASA, with contributions from Oak Ridge National Laboratory, the model is claimed to offer a flexible, scalable way to address a variety of challenges related to short-term weather as well as long-term climate projection. Click on the link to know more!
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Who knows real Gemini/Mixtral use cases with benchmarks?
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Does anyone know of companies with real use cases using Gemini or Mixtral, please? With a benchmark, advantages/disadvantages, that led to this choice? And when I say "real," I mean truly real. Because there are "French Tech" projects that claim to use Mixtral.
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LLM Pleaser Tendency and Unconscious Role Matching
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on the strong « pleaser » tendency of LLMs, matching the role you’re unconsciously asking them to play
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AI Environmental Claims: Misinformation and Carbon Footprint Accuracy
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But you're also aware that the "lifetime of five cars" number is wrong by orders of magnitude. Yet, just last month, you're a co-author on a blog post that continues to propagate this misinformation. https://
huggingface.co/blog/sasha/ai-
environment-primer
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Four Academic Papers Referenced in Research Discussion
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Tons. These are four off the top of my head: https://
arxiv.org/abs/1603.05953 https://
arxiv.org/abs/2203.01550 https://
arxiv.org/abs/1604.06443 https://
arxiv.org/abs/2304.09167. -
Environmental costs of AI research and data integrity issues
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I'm all for that. However that single number is still clouding people's assessment of the environmental costs (e.g. see how this thread started), and @strubell has flatly refused to amend the Arxiv or ACL paper with correct data, and has even co-authored papers after knowing