AI 周报

来源：TechCrunch AI

Mirage, the maker of video editing app Captions, has raised $75 million in growth financing from General Catalyst's Customer Value Fund (CVF)....

来源：TechCrunch AI

Agile Robots will incorporate Google DeepMind's robotics foundation models into its bots while collecting data for the AI research lab....

来源：TechCrunch AI

London's Air Street Capital has raised a large Fund III with eyes locked on backing early-stage European and North American AI companies....

来源：OpenAI Blog

To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we've built Sora 2 and the Sora app with safety at the foundation. Our approac...

来源：OpenAI Blog

How OpenAI uses chain-of-thought monitoring to study misalignment in internal coding agents—analyzing real-world deployments to detect risks and strengthen AI safety safeguards....

来源：OpenAI Blog

Accelerates Codex growth to power the next generation of Python developer tools...

Automate the process of making money online.

TradingAgents: Multi-Agents LLM Financial Trading Framework

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

作者：Umair Nawaz, Ahmed Heakl, Ufaq Khan, Abdelrahman Shaker, Salman Khan, Fahad Shahbaz Khan

Diffusion Transformers (DiTs) power high-fidelity video world models but remain computationally expensive due to sequential denoising and costly spatio-temporal attention. Training-free feature cachin...

作者：Shivam Duggal, Xingjian Bai, Zongze Wu, Richard Zhang, Eli Shechtman, Antonio Torralba, Phillip Isola, William T. Freeman

Latent diffusion models (LDMs) enable high-fidelity synthesis by operating in learned latent spaces. However, training state-of-the-art LDMs requires complex staging: a tokenizer must be trained first...

作者：Ziyi Wang, Xinshun Wang, Shuang Chen, Yang Cong, Mengyuan Liu

We present UniMotion, to our knowledge the first unified framework for simultaneous understanding and generation of human motion, natural language, and RGB images within a single architecture. Existin...

作者：Haichao Zhang, Yijiang Li, Shwai He, Tushar Nagarajan, Mingfei Chen, Jianglin Lu, Ang Li, Yun Fu

Recent progress in latent world models (e.g., V-JEPA2) has shown promising capability in forecasting future world states from video observations. Nevertheless, dense prediction from a short observatio...

作者：Haoyu Zhen, Xiaolong Li, Yilin Zhao, Han Zhang, Sifei Liu, Kaichun Mo, Chuang Gan, Subhashree Radhakrishnan

Large Language Models (LLMs) and Vision Language Models (VLMs) have shown impressive reasoning abilities, yet they struggle with spatial understanding and layout consistency when performing fine-grain...

LeCun emphasizes the importance of world models and self-supervised learning for achieving AGI, moving beyond pure scaling of language models.

Karpathy discusses optimization techniques for LLM training, focusing on efficiency and scalability improvements.

Growing consensus in the AI community about the importance of safety and alignment as core research areas.