r/mlscaling • u/Citrini_Research • 9h ago

We used Claude to invent Scorpion anti-venom -- Citrini Research

go.citrini.com

12 Upvotes

To separate hype from reality, we spent 3 months working firsthand with Anthropic's internal research model to see if it could create an experimental scorpion antivenom.

Introducing Citrini Therapeutics.

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r/mlscaling • u/zackku • 1h ago

I got tired of doing LLM cost math in spreadsheets, so I built a calculator.

• Upvotes

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r/mlscaling • u/gwern • 9h ago

N, T "Diffusion at Scale: Introducing Mercury 3"

inceptionlabs.ai

1 Upvotes

0 comments

r/mlscaling • u/SoloHunter786 • 22h ago

I built STROT: An open "decision compiler": an LLM writes the pipeline once, then a model makes every decision locally — $0/record, no API at runtime

1 Upvotes

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Scaling Machine Learning: Big Models/Data/Compute—More Is More

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Subreddit for discussing AI, machine learning, or deep learning approaches involving big numbers: billions of parameters, millions of n, petaflops, etc. eg GPT-3. Most research is conducted at much smaller scale; this subreddit is for research analogous to 'high energy physics', requiring specialized approaches, large investments, consortium, etc.

Topics: How? Who? Why do they work? What are they good for? What resources are available? Who will pay & how? What is the future of such approaches? What global consequences will there be?

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