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Research paper discovery and discussion platform
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In short: alphaXiv raised $7M to expand AI research tools, launched new features, and passed 100B weekly tokens.
Separately trained JEPAs learn the same underlying representation, achieving image-text alignment with 42 times fewer training samples than next-token prediction. A 109M-parameter text JEPA outperforms LLMs up to 72B parameters on cross-modal alignment benchmarks.
The tool transforms dense AI research into audio summaries by leveraging context from related papers to explain key ideas and draw connections to state-of-the-art findings.
New features include a mobile PDF reader, sharable folders, custom feeds, AI overviews, and support for iPhone Duo and iPad.
Researchers use OpenResearch to turn coding agents into research agents, featuring lit review and experiment tracking.
AlphaXiv launched a Claude Skill that pulls structured paper overviews via API instead of parsing raw PDFs.
AlphaXiv, an AI research platform, raised a $7 million seed led by Menlo Ventures and Haystack, co-founder Raj Palleti tells Axios exclusively. Why it matters...
There is an inherent tension in the dissemination of research. On one hand, science thrives on openness and communication. On the other, ensuring high-quality scientific...
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