Charlie Tang (@tang_1c) 's Twitter Profile
Charlie Tang

@tang_1c

ID: 811000117

calendar_today08-09-2012 14:09:27

2 Tweet

114 Followers

392 Following

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How to achieve AGI / ASI ? 1. Embodied representation learning 2. Just scaling up LLMs How one chooses seems highly *correlated* to whether they came into being as a researcher in computer vision, perception, and cog sci, or, on the other hand, in pure deep learning / NLP. -

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ELI5⃣ 👉 When your LLM inference job is mixed with a batch of other peoples requests, GPU kernels doing reduction, matmul, attention can be affected by the batchsize, and that causes small numerical differences. 🔥Why is it important? ... 👏Horace He and team proposes a set

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The fed is about to enter into a cutting cycle There is also 7T in cash sitting in MMFs, on the sidelines Nobody can pick the peak or the trough consistently

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Customer interactions with Taco Bell’s AI has gone viral recently, for the *hilarious* reasons, leading to the pulling back of deployments 💡Why Taco Bell's voice AI failed: (and how to fix it) ❌Failure modes: 1. Sub-human language understanding 2. Adversarial attacks (mostly

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Notice that her face showed disgust even *before* she tasted the soup! AGI tests along these lines could be created both for video gen AIs and video understanding AIs.

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In an era of AI overtaking humans in more and more domains, computer/AI ranking of sports teams is still quite different from humans, due to a low sample size. #AI #SportsPicks

In an era of AI overtaking humans in more and more domains, computer/AI ranking of sports teams is still quite different from humans, due to a low sample size.
#AI #SportsPicks