Weird doomer argument: "society should not deploy because *I* don't fully understand it, and I believe no one else does, either."
AI
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Retail brands embrace metaverse and Web3 for digital fashion
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Discover how #retail #brands are embracing the #metaverse and #web3 technologies, from selling digital-only fashion items to setting up #immersive #virtual #shops and enhancing transparency with #blockchain.
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Non-invasive Blood Glucose Monitoring Breakthrough Achieved
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Looks like someone may have finally cracked non-invasive blood glucose monitoring. Blood glucose is a key indicator of health (and especially important for diabetics) so people have been trying to do this for decades. Lots of dead companies trying with lasers and wearables and
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Why 3D Printing Professionals Deserve Fair Compensation
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Fair warning as a hobbyist who has a print running in the other room: you will quickly discover why people charge money to do the work 😉
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Higher hallucination standard needed for ordinary chatbot users
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Researchers can plausibly deal with hallucinations — experiment with prompt variations, responsibly verify the output, etc. It’s chatbots used by ordinary people that deserve a higher standard because those users’ priors for its correctness are highest.
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Being hilariously bad is safe, Galactica fears overblown
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Being hilariously bad isn’t dangerous. That’s one of the safest ways to be bad. I barely tried Galactica so I don’t have a strong take on how bad it was, but the danger of its out-of-thin-air citations was overblown. Llama2 base is no less hallucinatory and we survived.
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Jais-13B Arabic LLM Launches on Microsoft Azure Cloud
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Jais-13B, the leading Arabic LLM trained on Cerebras CS-2 is now available on the @Azure AI cloud! Very excited for this partnership with @G42ai & @Microsoft
! https://
techcommunity.microsoft.com/t5/ai-machine-
learning-blog/welcoming-mistral-phi-jais-code-llama-nvidia-nemotron-and-more/ba-p/3982699
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Faithful dataset representation most valuable in science/engineering, wider audiences need guardrails.
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It’s in sciences and engineering, where users might be expected to understand what a base LLM is and how they’re used, where having faithful representation of the dataset is most valuable. It’s wider audiences that need more guardrails.
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RL tuning mitigates issues with diversity and creativity cost
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They are! But both are mitigated by RL-based tuning and have similar costs in diversity and creativity. To tune for correctness is to optimize for tokens that, in practice, lead to true output, regardless of how well those choices represent real text. Consider whether an LLM
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Segment Anything 8x Faster with PyTorch Advanced Features
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make "Segment Anything" 8x faster by just using PyTorch's more advanced features. No C++, no custom extensions. great post (and work) by @cpuhrsch and the team!