xAI
@xai
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we're hiring designers, engineers, product, data, infra, and ai tutors - join us!
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xAI Retweeted
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Euclidean geometry problems have been my favorite math puzzles since middle school. The most intriguing part of it is the creation of auxiliary lines, which opens a space for imagination and the freedom to explore various diagrams. Once a proof is found, these auxiliary lines…
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the following countries can now grok:
- australia
- bahamas
- barbados
- belize
- botswana
- cameroon
- canada
- dominica
- eswatini
- fiji
- gambia
- ghana
- grenada
- guyana
- india
- jamaica
- kenya
- liberia
- malaysia
- malawi
- malta
- mauritius
- namibia
- new zealand
-…
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Come meet the team in an hour by the registration desk at NeurIPS!
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xAI Retweeted
Coming to
#NeurIPS23
now. Will be there until Friday night.
DM me to chat about: reasoning, AI for math, and what we’re doing
@xai
.
Also will be at
#MATHAI
workshop panel discussion on Friday morning. See you there!
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Join the Grok community here on X if you want to help us improve Grok, or to see how others are using Grok.
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xAI Retweeted
Grok is rolling out to 𝕏 Premium+ subscribers with the latest app release.
Have fun!
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You can now submit feedback to help us improve Grok. Feedback can range from a simple "this conversation is good/bad"-rating all the way to an entirely rewritten conversation.
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1/ μP is optimal scaling rule of learning rate & init as network width → ∞. Been confused?
🆕μP = holding the "natural" (I'll explain) operator
norm constant for every weight W & its updates ΔW:
μP <=> ‖W‖_nat = Θ(1) = ‖ΔW‖_nat.
🆕Frobenius norm is the wrong norm to measure!
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If anyone is feeling the Sunday Scaries heading into work tomorrow,
@xai
is hiring for many roles:
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Announcing the xAI PromptIDE
The xAI PromptIDE is an integrated development environment for prompt engineering and interpretability research.
It accelerates prompt engineering through an SDK that allows implementing complex prompting techniques and rich analytics that
visualize…
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Announcing Grok!
Grok is an AI modeled after the Hitchhiker’s Guide to the Galaxy, so intended to answer almost anything and, far harder, even suggest what questions to ask!
Grok is designed to answer questions with a bit of wit and has a rebellious streak, so please don’t use…
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xAI Retweeted
Nontrivial ∞width neural nets are either kernel machines or feature learners. Latter's scaling makes optimal hyperparams invariant to width
What if depth→∞as well?
🆕 Feature diversity is key; maxed out by abs (not relu); gives invariance to depth!
But GPT flawed 🧵
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We are hiring creators, teachers, and curators to help improve our models!
If you are extremely good at writing and an expert in your field, pls DM us evidence of your most exceptional work
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