Cognitive AI: The new Solution (w/o Mythos)

Discover AI · Beginner ·📄 Research Papers Explained ·3w ago
This video details the transition from Generative AI (which we cannot trust, probabilistic system) to Agentic/Verifiable Reasoning Systems (which we hopefully can trust, after three rounds of AI verifiers). All rights w/ authors: "Learning to Reason with Insight for Informal Theorem Proving" Yunhe Li∗1 Hao Shi∗2 Bowen Deng∗1 Wei Wang∗3 Mengzhe Ruan1 Hanxu Hou4, Zhongxiang Dai5 Siyang Gao1 Chao Wang13 Shuang Qiu†1 Linqi Song†1 from 1 City University of Hong Kong 2 Tsinghua University 3 Ke Holdings Inc. 4 Shenzhen University of Advanced Technology 5 Chinese University of Hong Kong, Shenzhen. arXiv:2604.16278 AgentV-RL: Scaling Reward Modeling with Agentic Verifier Jiazheng Zhang1* , Ziche Fu1∗, Zhiheng Xi1∗, Wenqing Jing1, Mingxu Chai1, Wei He1, Guoqiang Zhang1, Chenghao Fan2, Chenxin An3, Wenxiang Chen1, Zhicheng Liu4, Haojie Pan4, Dingwei Zhu1, Tao Gui5,6†, Qi Zhang5,6, Xuanjing Huang5,6 from 1 College of Computer Science and Artificial Intelligence, Fudan University 2 Huazhong University of Science and Technology 3 The University of Hong Kong 4 ByteDance Seed 5 Institute of Trustworthy Embodied AI, Fudan University 6 Shanghai Key Laboratory of Multimodal Embodied AI. arXiv:2604.16004 #newtech #mythos #scienceexplained #newtechnologyideas
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The ABCs of reading medical research and review papers these days
Learn to critically evaluate medical research papers by accepting nothing at face value, believing no one blindly, and checking everything
Medium · LLM
#1 DevLog Meta-research: I Got Tired of Tab Chaos While Reading Research Papers.
Learn to manage research paper tabs efficiently and apply meta-research techniques to improve productivity
Dev.to AI
How to Set Up a Karpathy-Style Wiki for Your Research Field
Learn to set up a Karpathy-style wiki for your research field to organize and share knowledge effectively
Medium · AI
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
Scientific knowledge may be stuck in a local minimum, hindering optimal progress, and understanding this concept is crucial for advancing research
ArXiv cs.AI
Up next
Microsoft Research Forum | Season 2, Episode 4
Microsoft Research
Watch →