Andon Market in San Francisco represents a vision, however flawed, of a future when more sophisticated AI agents take over work traditionally done by humans. In San Francisco's upscale Cow Hollow district, the introduction of a boutique selling coffee table games, tote bags and other household items would be pretty unremarkable. However, Andon Market has one key differentiator: It's run by AI. At this store, an artificial intelligence agent named Luna effectively acts as the chief executive officer of the operation. It decides what products to offer and how much to charge for them.

China's DeepSeek unveils latest models a year after upending global tech China's DeepSeek has unveiled the latest versions of its signature artificial intelligence-powered chatbot, a year after its flagship model sent shockwaves through the global tech scene. The Chinese start-up launched preview versions of DeepSeek-V4-Pro and DeepSeek-V4-Flash on Friday as it touted its ability to go toe-to-toe with US rivals such as OpenAI and Google. The "flash" model has similar reasoning abilities to the "pro" version, while offering faster response times and more cost-effective pricing, the Hangzhou-based startup said. Like DeepSeek's previous chatbots, V4-Pro and V4-Flash follow an open-source model, meaning developers are free to use and modify them at will. The release comes after DeepSeek-R1 stunned the tech sector upon its launch in January last year with capabilities broadly comparable with those of ChatGPT and Gemini.

Addressing decision-making problems using sequence modeling to predict future trajectories shows promising results in recent years. In this paper, we take a step further to leverage the sequence predictive method in wider areas such as long-term planning, vision-based control, and multi-task decision-making. To this end, we propose a method to utilize a diffusion-based generative sequence model to plan a series of milestones in a latent space and to have an agent to follow the milestones to accomplish a given task. The proposed method can learn control-relevant, low-dimensional latent representations of milestones, which makes it possible to efficiently perform long-term planning and vision-based control. Furthermore, our approach exploits generation flexibility of the diffusion model, which makes it possible to plan diverse trajectories for multi-task decision-making. We demonstrate the proposed method across offline reinforcement learning (RL) benchmarks and an visual manipulation environment. The results show that our approach outperforms offline RL methods in solving long-horizon, sparse-reward tasks and multi-task problems, while also achieving the state-of-the-art performance on the most challenging vision-based manipulation benchmark.

Near the Kremlin several dozen people are queuing outside the presidential administration office. They've come to submit petitions calling on President Vladimir Putin to end a crackdown on the internet. Russian authorities have been tightening control of the country's cyber space. Access to global messaging apps has been restricted and there are widespread disruptions to, even shutdowns of, mobile internet. Petitioning the president is legal.

SoftBank Group's mobile unit plans to transform part of its factory in Osaka Prefecture into one of Japan's biggest production lines for large-scale batteries in an ambitious attempt at powering its own artificial intelligence data centers. SoftBank Corp. aims to bring that production online within the next five years, according to people familiar with the matter. They asked not to be named as deliberations remain private. After SoftBank executives mulled different purposes for the plant in the city of Sakai, including robotics manufacturing, they decided to pursue energy. The Tokyo-based group led by Masayoshi Son is one of the world's foremost supporters of AI, having committed hundreds of billions of dollars to investment in data centers, cloud services and bets on startups like OpenAI.