AI资讯日报 - 2025/8/8

The Next Bill Gates or Albert Einstein in AI “Chris Clark” – Yourobot

行业动态 Hacker News 重要度: 9

AI领域的下一个比尔·盖茨或爱因斯坦

Ask HN: Is the rate of progress in AI exponential?

行业动态 Hacker News 重要度: 8

探讨AI进步速度是否呈指数级

Ask HN: What's the pain using current AI algorithms?

行业动态 Hacker News 重要度: 7

探讨当前AI算法的痛点

NLP, AI, ML, bots – a passing trend or much more? What's your take on this?

行业动态 Hacker News 重要度: 7

NLP、AI、ML、机器人是短暂趋势还是更多？

Common Lisp + Machine Learning Internship at Google (Mountain View, CA)

行业动态 Hacker News 重要度: 6

谷歌提供Common Lisp与机器学习实习机会

Ask HN: Dipping my toes with artificial intelligence and what to expect? (CS)

行业动态 Hacker News 重要度: 6

初探人工智能及预期

The AI Crackpot Index

行业动态 Hacker News 重要度: 5

AI Crackpot指数讨论

50% Cheaper GPUs for cloud-computing / Saving devs 50% compared to AWS

行业动态 Hacker News 重要度: 5

云计算GPU成本降低50%，相比AWS节省开发者50%

Ask HN: Anyone concerned about NYC Local Law 144?

行业动态 Hacker News 重要度: 4

询问对纽约市地方法律144的关注

Ask HN: Thoughts on grad school? (CS PhD)

行业动态 Hacker News 重要度: 4

关于研究生院的思考（CS博士）

Show HN: Startup Raising capital through Book Sales

行业动态 Hacker News 重要度: 3

初创公司通过书籍销售筹集资金

Bioinformatician

行业动态 Hacker News 重要度: 2

生物信息学家讨论

KaimingHe/deep-residual-networks

开源项目 GitHub 重要度: 10

用于图像识别的深度残差学习

⭐ 6615 stars

interpretml/interpret

开源项目 GitHub 重要度: 9

拟合可解释模型，解释黑盒机器学习

⭐ 6637 stars

ml5js/ml5-library

开源项目 GitHub 重要度: 8

友好的Web端机器学习库

⭐ 6570 stars

zhangqianhui/AdversarialNetsPapers

开源项目 GitHub 重要度: 8

生成对抗网络的优秀论文列表

⭐ 6589 stars

afshinea/stanford-cs-230-deep-learning

开源项目 GitHub 重要度: 7

斯坦福CS 230深度学习课程的VIP备忘单

⭐ 6626 stars

pliang279/awesome-multimodal-ml

开源项目 GitHub 重要度: 7

多模态机器学习研究主题阅读列表

⭐ 6575 stars

NicolasHug/Surprise

开源项目 GitHub 重要度: 6

用于构建和分析推荐系统的Python scikit

⭐ 6646 stars

evidentlyai/evidently

开源项目 GitHub 重要度: 6

开源ML和LLM可观察性框架

⭐ 6491 stars

amusi/daily-paper-computer-vision

开源项目 GitHub 重要度: 5

每日整理的计算机视觉/深度学习/机器学习相关论文

⭐ 6603 stars

MycroftAI/mycroft-core

开源项目 GitHub 重要度: 5

Mycroft人工智能平台的核心

⭐ 6602 stars

rhiever/Data-Analysis-and-Machine-Learning-Projects

开源项目 GitHub 重要度: 4

数据分析和机器学习项目的教学材料、代码和数据

⭐ 6459 stars

amitness/learning

开源项目 GitHub 重要度: 3

学习日志

⭐ 6637 stars

Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling

学术论文 ArXiv 重要度: 9

通过适应性推理处理不确定性，提升机器人在人群导航中的安全性和鲁棒性。

👨‍🔬 Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit K. Roy-Chowdhury, Jiachen Li

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

学术论文 ArXiv 重要度: 9

提出Cooper框架，联合优化策略和奖励模型，提升强化学习效果。

👨‍🔬 Haitao Hong, Yuchen Yan, Xingyu Wu, Guiyang Hou, Wenqi Zhang, Weiming Lu, Yongliang Shen, Jun Xiao

H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages

学术论文 ArXiv 重要度: 8

提出H-NET++，一种无需分词器的语言模型，优化形态丰富语言的处理。

👨‍🔬 Mehrdad Zakershahrak, Samira Ghodratnama

The Missing Reward: Active Inference in the Era of Experience

学术论文 ArXiv 重要度: 8

提出主动推理框架，解决AI系统自主学习和目标设定的挑战。

👨‍🔬 Bo Wen

OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

学术论文 ArXiv 重要度: 8

提出OmniEAR框架，评估语言模型在具身任务中的推理能力。

👨‍🔬 Zixuan Wang, Dingming Li, Hongxing Li, Shuo Chen, Yuchen Yan, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation

学术论文 ArXiv 重要度: 7

介绍首个实时互动数据集KuaiLive，支持直播推荐系统研究。

👨‍🔬 Changle Qu, Sunhao Dai, Ke Guo, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu

Simulating Human-Like Learning Dynamics with LLM-Empowered Agents

学术论文 ArXiv 重要度: 7

基于大型语言模型的多智能体框架，模拟人类学习动态。

👨‍🔬 Yu Yuan, Lili Zhao, Wei Chen, Guangting Zheng, Kai Zhang, Mengdi Zhang, Qi Liu

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution

学术论文 ArXiv 重要度: 7

利用大型语言模型自动设计轨迹预测启发式方法，提高泛化能力。

👨‍🔬 Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle

学术论文 ArXiv 重要度: 7

提出Shuffle-R1框架，通过数据中心的动态洗牌提升强化学习效率。

👨‍🔬 Linghao Zhu, Yiran Guan, Dingkang Liang, Jianzhong Ju, Zhenbo Luo, Bin Qin, Jian Luan, Yuliang Liu, Xiang Bai

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations

学术论文 ArXiv 重要度: 6

利用线性探针研究大型语言模型在多轮对话中的说服动态。

👨‍🔬 Brandon Jaipersaud, David Krueger, Ekdeep Singh Lubana

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency

学术论文 ArXiv 重要度: 6

通过区域一致性，提升GUI定位的准确性和鲁棒性。

👨‍🔬 Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong, Weiming Lu, Shengpei Jiang, Yongliang Shen

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models

学术论文 ArXiv 重要度: 6

利用大型语言模型迭代学习可计算表型，支持高血压治疗决策。

👨‍🔬 Guilherme Seidyo Imai Aldeia, Daniel S. Herman, William G. La Cava

🤖 AI资讯日报

📊 今日趋势总结

The Next Bill Gates or Albert Einstein in AI “Chris Clark” – Yourobot

Ask HN: Is the rate of progress in AI exponential?

Ask HN: What's the pain using current AI algorithms?

NLP, AI, ML, bots – a passing trend or much more? What's your take on this?

Common Lisp + Machine Learning Internship at Google (Mountain View, CA)

Ask HN: Dipping my toes with artificial intelligence and what to expect? (CS)

The AI Crackpot Index

50% Cheaper GPUs for cloud-computing / Saving devs 50% compared to AWS

Ask HN: Anyone concerned about NYC Local Law 144?

Ask HN: Thoughts on grad school? (CS PhD)

Show HN: Startup Raising capital through Book Sales

Bioinformatician

KaimingHe/deep-residual-networks

interpretml/interpret

ml5js/ml5-library

zhangqianhui/AdversarialNetsPapers

afshinea/stanford-cs-230-deep-learning

pliang279/awesome-multimodal-ml

NicolasHug/Surprise

evidentlyai/evidently

amusi/daily-paper-computer-vision

MycroftAI/mycroft-core

rhiever/Data-Analysis-and-Machine-Learning-Projects

amitness/learning

Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages

The Missing Reward: Active Inference in the Era of Experience

OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation

Simulating Human-Like Learning Dynamics with LLM-Empowered Agents

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency

Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models

📅 历史日报目录