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
INNOVATION
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GPT-4 Report Lacks Reproducibility Documentation
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NAS and Transformer Architecture Search Space Subtleties
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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 CEO discusses next-gen compute at RISC-V Bangalore
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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 -
Open vs Closed Source Operating Systems Competition Ahead
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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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Robotics Labs Explore Spatial Transformers and Diffusion Policies Post-ChatGPT4
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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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Experimenting with AI-generated tweets instead of manual writing
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I tried a non-AI tweet — that didn't last long!
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No Code Tools: AI Development Without Typing
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You like No Code? How about no typing at all? https://t.co/VmiWDxCURR
— Yohei (@yoheinakajima) 24 mars 2023You like No Code? How about no typing at all?
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USB-C Innovation: A Game Changer for Tech Infrastructure
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To whoever invented USB-C: THANK YOU!!
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Rodney Brooks shares 1991 AI Journal paper on representation arguments
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Yann @ylecun
, here is an early version of many of these arguments (pre-deep learning). Four years in review (I didn't change a word…), published in AI Journal 1991. http://
people.csail.mit.edu/brooks/papers/
representation.pdf
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AI Tools Should Build Plugin Integrations Like ChatGPT
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Smart approach that AI tools should consider. Just build on top of ChatGPT’s plug-in set up, and you make it easy for app developers to integrate into your AI tool.