Chat interface to everything is the biggest revolution in UI/UX https://t.co/YKVqoR9q5Y
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 25 mars 2023
Chat interface to everything is the biggest revolution in UI/UX
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Chat interface to everything is the biggest revolution in UI/UX https://t.co/YKVqoR9q5Y
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 25 mars 2023
Chat interface to everything is the biggest revolution in UI/UX
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Pilot just told us the plane needs a new tire. Everyone (plus bags) must unload. Can’t help but think that ChatGPT could have fixed it with us still onboard.

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For the first time ever, #H2OWorld is coming to #India! After sold-out events in San Francisco, New York, London, Sydney, and other global locations, our conference is set to take place in Bengaluru, on April 19th. Register here: https://
townscript.com/e/h2o-world-in
dia-112201
… #DemocratizeAI

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While we're looking at source codes, I checked out the source of the GPT-4 Tech Report, and found neurips_checklist.tex (not compiled in their main.tex, I added it back in). Reproducibility answers are DEFINITELY not for this paper https://
arxiv.org/abs/2303.08774
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Yes, I totally agree that the fact that the proxy task was Transformer(base) is quite subtle in So et al. (just that one sentence). NAS is generally a once-per-search-space/problem-type (sort of like human researchers coming up with a new model architecture, just automated).

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Tenstorrent's CEO @jimkxa will be joined by @RajaXg
, @drnsherwani + Mateo Valero for a fireside chat on the Opportunities and Challenges for Next Gen Compute at the @risc_v in #bangalore . Find out more + register here –> https://
bit.ly/indiariscv #nextgen #riscv #tenstorrent
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If that's indeed an OS, let's prepare to see an interesting replay of closed vs open-source operating systems in the coming years 🙂
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Strange, I think exactly the opposite. In 15 years people will say that AGI was born in 2023 with ChatGPT. It was still lacking, but in the years after that it improved fast and in 2025 we had true AGI.
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There are many robotics labs exploring spatial transformers and even diffusion policies for learning from such demonstrations. Dimensionality & substantial uncertainty in state/control make robotics much harder than language or images but I’m much more optimistic post #ChatGPT4 https://
x.com/aibreakfast/st
atus/1639269771148509184
…
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I tried a non-AI tweet — that didn't last long!