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Show HN: E– – a language you dial between English and Python
一种介于英语和Python的新语言，消除歧义并让LLM可选执行，重构人机交互语法。
Article URL: https://github.com/frmoded/e-- Comments URL: https://news.ycombinator.com/item?id=48863891 Points: 1 # Comments: 2
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FORGE: Fused On-Register Gradient Elimination for Memory-Efficient LLM Training
融合反向传播与优化器阶段的梯度处理，大幅降低LLM训练的内存峰值，突破显存瓶颈的新方案。
arXiv:2606.22932v1 Announce Type: new Abstract: Reverse-mode differentiation computes every weight gradient, writes it to memory, and only then lets t…
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Ask HN: How do you make AI writing usable?
网友热议如何让AI写作摆脱模板化废话，核心在于提示工程与后处理技巧。
Every time I ask the latest models to write something, it defaults to LLMisms like contrastive negation and long unnecessary lists. Is there a way to …
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Show HN: Lastwordonearth.com
全球网友共同消除174k单词，直到只剩最后一个，一场慢节奏的社交文字实验。
This is a silly idea I had a couple years ago that I just recently launched. It's a slow, globally shared word "game" (or experiment?) to find the Las…
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Tensor-Coord: Algebraic Decomposition of Joint Plan Tensors for Conflict-Free Multi-Agent LLM Planning
代数分解联合计划张量，实现多智能体LLM无冲突规划，开创性解决协同失败难题。
arXiv:2606.16478v1 Announce Type: new Abstract: Large language models (LLMs) remain limited in multi-agent planning because independently generated pl…
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Building Better Activation Oracles
改进激活预言机训练，解决幻觉和模糊性，可提升残差流激活的可解释性研究价值。
arXiv:2606.02609v1 Announce Type: cross Abstract: Activation Oracles (AOs) are promising methods for interpreting residual stream activations. However…
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Counterfactually Fair Regression via Optimal Transport
用最优传输理论实现反事实公平回归，为机器学习模型去除偏见提供新方法。
arXiv:2605.28251v1 Announce Type: cross Abstract: We consider the problem of learning a counterfactually fair regressor. We adopt a causal uncertainty…
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Cearvol’s Wave Design Fights Off Hearing Loss and Aging Stigma
时尚设计打破助听器刻板印象，轻巧耳塞兼顾听力辅助与美观，对抗老化偏见。
Cearvol’s Wave Lite hearing aids take on the stigma of aging with tech-inspired design, but they lack the nuance to be truly useful.
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消除“罪证”：给写作去除“AI味”的不完全手册（2026版）
上传或粘贴文本后一键检测和消除“AI味”，支持自定义禁用句式与高频词，让你的写作回归真人风格。
图源：公众号「有三思 U Sense」 做个测试。读一下这段话： “熊猫是最可爱的动物，它最爱吃竹子，样子最憨态可掬，是世界上最珍贵的宝藏。” 如果你笑了，或者皱了眉，很明显，你的 “鉴AI雷达” 已经觉醒。 近期把网友笑到打鸣的“豆包体”里，“最”是高频词汇。大…
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Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs
多模态大模型消除幻觉新方法：锐度感知鲁棒擦除，超越浅层遗忘，提升模型可靠性
arXiv:2601.16527v2 Announce Type: replace Abstract: Multimodal LLMs are powerful but prone to object hallucinations, which describe non-existent entit…