tech news
Overview of Key Topics This document condenses multiple stories covering film restoration, technology tools, product launches, corporate moves, privacy debates, and AI research — each with summaries, insights, and community reactions. --- 🎬 The ‘Toy Story’ You Remember Read Article HN Discussion Summary * Historic Transition: Pixar’s 1995 Toy Story was rendered
AI research
Spatial Intelligence & Supersensing: The Next Frontier in AI Leading AI researchers — Fei-Fei Li, Saining Xie, and Yann LeCun — have been highlighting a transformative concept: Spatial Intelligence. This goes beyond simply “understanding images or videos.” It’s about: * Comprehending spatial structures * Remembering events * Predicting future outcomes In essence, a truly
LLM agents
📰 Research Update — 2025-11-09, Beijing A new research field has been formally defined: Graph-augmented LLM Agents (GLA). --- Authors & Institutions * Yixin Liu, Shiyuan Li, Shirui Pan — Griffith University * Guibin Zhang — National University of Singapore * Kun Wang — Nanyang Technological University --- The Rise & Challenges of LLM Agents LLM Agents have
LLM
📢 XinzhiYuan Report [Summary] Researchers at UC Berkeley and Rutgers have found evidence that OpenAI’s o1 model demonstrates meta-analysis capabilities comparable to human linguists — a major milestone in LLM research. --- 1. Language — Humanity’s Defining Trait Since Aristotle, language has been considered a uniquely human capability. Modern LLMs like
LLM reasoning
2025-11-06 13:26 — Beijing Rather than chasing ever-larger models, it can be smarter to fully leverage the capabilities of existing ones. Author & Institution Collaboration This work is a joint effort by researchers from: * Beijing Zhongguancun College * Harbin Institute of Technology (HIT) * Institute of Automation, Chinese Academy of Sciences * Other
Diffusion LLMs
# Advancing Diffusion-Based Large Language Models (LLMs) Diffusion-based LLMs have progressed rapidly. - **February 2025** — *Mercury* (Inception Labs) became the first *commercial-scale* diffusion LLM. - **Renmin University** launched *LLaDA*, the first **open-source 8B parameter diffusion LLM**, followed by *Gemini Diffusion* in May. These innovations signal that **diffusion LLMs could rival autoregressive
Motion Transfer
## Authors and Affiliations The team behind this work comes from **Tsinghua University**, **Peking University**, **Wuhan University**, and **Shanghai Jiao Tong University**. **Primary authors**: - **Chengbo Yuan** – Master’s student, Tsinghua University - **Rui Zhou** – Undergraduate student, Wuhan University - **Mengzhen Liu** – PhD candidate, Peking University - **Yang Gao** – Assistant Professor,
AI conference
China National Conference on Computational Linguistics 2025 & 2nd China Large Model Conference (CIPS & CLM 2025) Open in Beijing On October 28, the China National Conference on Computational Linguistics 2025 and the 2nd China Large Model Conference (CIPS & CLM 2025) officially opened in Beijing, welcoming over 600 attendees.
Robotics
CTRL-WORLD: A Controllable Generative World Model for Robot Manipulation In recent days, Chelsea Finn, co‑founder of Physical Intelligence (PI), has been engaging with a new world model research project from her Stanford group. > Generating visually appealing videos is easy — the challenge is building a truly general‑purpose model
AI conference
China Chinese Information Processing Society Academic Annual Conference 2025 & 2nd China Large Language Model Conference (CIPS & CLM 2025) Grand Opening in Beijing, October 28–29, 2025 Over 600 scholars, researchers, and industry leaders gathered in Beijing for the joint opening of the China Chinese Information Processing Society Academic
Robotics
CTRL-WORLD: Controllable Generative World Model for Robotics Background In recent days, Physical Intelligence (PI) co‑founder Chelsea Finn has expressed strong support for a new robotics world model project from Stanford, co‑developed with Chen Jianyu’s team at Tsinghua University. Finn emphasizes: > “It’s easy to generate videos
SVG model
SVG: A Latent Diffusion Model Without VAE Right after Xie Saining announced the retirement of VAE from the image generation field, Tsinghua University and Kuaishou’s Kolin team introduced SVG — a latent diffusion model that completely avoids using a VAE. This approach achieves: * 62× improvement in training efficiency * 35× boost