Evidence brief
_akhaliq shared paper information, mentioning only BDH-CQ and a paper link titled In-Context Learning with Recurrent Latent Reasoning.
_akhaliq shared paper information, mentioning only BDH-CQ and a paper link titled In-Context Learning with Recurrent Latent Reasoning.
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@omarsar0 said a study tracked why Claude.md and AGENTS.md grow without limit, analyzing the lifecycle of 247,694 instructions across 1,867 repositories, and proposed using comments to record rationale.
Original source@dair_ai said Ai2, Carnegie Mellon, and University of Washington studied normalization, GQA, pretraining context length, and sliding-window attention, finding that combining more than three of them significantly reduces long-context performance, and released OlmPool.
Original sourceResearch Gold, a website aimed at medical researchers, claims its service is “100% human-written, with no AI ever used,” and lists multiple PhD reviewers. But an investigation found that these reviewers were AI-generated and did not exist; the identities and photos of some real methodologists had also been used without permission. When called, an AI assistant calling herself “Sarah” insisted she was a real person, and the email and chat replies were also AI-generated.
Original sourceAnthropic and independent researcher David Roodman released a report assessing how effective Anthropic retraining programs are in responding to AI labor-market shocks, based on 56 U.S. randomized studies and experimental evidence from Europe.
Original source@Llama_index reposted @jerryjliu0’s post: the team wrote a 36-page ArXiv white paper on ExtractBench, calling it an effort to create a comprehensive, schema-guided, real-world-relevant benchmark.
Original source