I work in AI and machine learning, and keeping up with what's actually new is part of the job. Somewhere in the last two years I stopped being able to. New papers every day, in AI and in the neuroscience and physics I also care about, and most of what reached me was a headline or a thread that said more than the paper did. I got tired of finding out a week later that the "breakthrough" was a mouse study with no control group. So I built PaperSays, mostly for myself at first. What it does: every day, an editor picks the one paper per field that matters most (AI/ML, brain & mind, physics & space) and it becomes a short podcast episode, about nine minutes, two hosts, written from the paper's full text. Every line is tagged SAYS (the paper), EXPLAINS (us unpacking it) or INTERPRETS (our read), with the citation and a "what this paper does not show" section, because the hype problem is really a who-is-talking problem. The features came from my own annoyances listening to science podcasts: - They mention a method or a term I don't know, and I can't stop to look it up while I'm walking. So you can ask the episode out loud with the phone in your pocket, and the answer is limited to the paper. - I want to take a note and there's no straight way to do it mid-episode. So you say the note, and it's saved against that moment. - A week later I've forgotten most of it. So it quizzes you on what you saved, then again later. The short film in the post is those four annoyances, no app screens. Honest bits: the hosts are AI voices and the app says so, every script is reviewed by a human before release, iPhone only, English only, three fields for now. Bootstrapped, no funding, launched this week. Happy to answer anything about how the scripts are generated and checked. Which field would you want next? https://papersays.com?utm_source=reddit&utm_medium=sideproject   submitted by   /u/AK2929AK [link]   [comments]