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Founder of Bibby AI

BibbyResearch
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https://trybibby.com/

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reacted to their post with šŸ¤— about 13 hours ago
Used by Researchers at Allen institute, Simons foundation, Yale and other top universities.. šŸ¤— Researchers are using AI to write their papers. That AI is Bibby AI. Not GPT-5. Not Claude Opus. Not whatever wrapper your institution just paid $50k for. Bibby. While the AI research community spent 2025 debating whether LLMs can handle scientific writing ā€” actual scientists at actual top-tier institutions quietly started shipping papers with it. No press release. No hype cycle. Just results. Here's what they figured out that most people haven't: The bottleneck in research was never the ideas. It was never the experiments. It was the 3am writing sessions where good science goes to die in a Google Doc. Writer's block, LaTex Learning frustration, formatting issues, compiler errors. Bibby is built specifically for that gap. Citation-aware. Argument-aware. Knows when to hedge, when to assert, and ā€” critically ā€” knows not to hallucinate your methods section. The institutions adopting it aren't doing it because it's trendy. They're doing it because the researcher-hours it saves are going straight back into actual research. This is what the adoption curve looks like before the thing becomes obvious. ā†’ https://trybibby.com/ Who else here is using AI in their research workflow? Drop it below šŸ‘‡ Best comments will receive a discounted Bibby AI subscription with a chance to win a $100 grant for their research.
posted an update about 13 hours ago
Used by Researchers at Allen institute, Simons foundation, Yale and other top universities.. šŸ¤— Researchers are using AI to write their papers. That AI is Bibby AI. Not GPT-5. Not Claude Opus. Not whatever wrapper your institution just paid $50k for. Bibby. While the AI research community spent 2025 debating whether LLMs can handle scientific writing ā€” actual scientists at actual top-tier institutions quietly started shipping papers with it. No press release. No hype cycle. Just results. Here's what they figured out that most people haven't: The bottleneck in research was never the ideas. It was never the experiments. It was the 3am writing sessions where good science goes to die in a Google Doc. Writer's block, LaTex Learning frustration, formatting issues, compiler errors. Bibby is built specifically for that gap. Citation-aware. Argument-aware. Knows when to hedge, when to assert, and ā€” critically ā€” knows not to hallucinate your methods section. The institutions adopting it aren't doing it because it's trendy. They're doing it because the researcher-hours it saves are going straight back into actual research. This is what the adoption curve looks like before the thing becomes obvious. ā†’ https://trybibby.com/ Who else here is using AI in their research workflow? Drop it below šŸ‘‡ Best comments will receive a discounted Bibby AI subscription with a chance to win a $100 grant for their research.
submitted a paper 4 days ago
AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery
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