Every week, thousands of AI research papers get published. Most people never see them. We translate the ones that matter into clear, short reads that anyone can follow.
"240,000 AI papers were published last year. The most important ideas are trapped inside dense equations and jargon that only specialists can read. We believe knowledge that important should not stay that hidden."
Paperplain was built to close that gap. We read the papers that matter, break down the key ideas, and write them up in plain language. Every article takes about 5 minutes to read and leaves you knowing something real.
We track the most significant AI research across arXiv, major labs, and conferences. Every week we identify the papers that will shape the field.
We read the full paper, extract the core contribution, and write a clear explanation. No jargon, no assumed background knowledge. Just the idea, explained well.
One article in your inbox every day. Short enough to finish with your morning coffee. Clear enough to actually understand. Archive available for deep dives.
Google's Gemma team has shown diffusion works for text — and it generates the whole passage in parallel instead of one token at a time.
A Google paper on compressing AI's memory cache from 16 bits to 3 bits crashed the memory-chip stocks by $900B — and it's real.
OpenAI is buying a decommissioned nuclear plant in Ohio to power a 10-GW AI campus — roughly the electricity of seven million U.S. homes dedicated to one company's AI workloads.
Every day we decode one important AI research paper and send it to your inbox. No jargon. No assumed expertise. Just the idea, explained clearly.
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