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SenseTime’s Xu Li: AI Billing to Shift from Tokens to Tasks, Establishing a New Paradigm for Inclusive AI At the main forum of the 2026 World Artificial Intelligence Conference, Xu Li, Chairman and CEO of SenseTime, delivered a keynote speech titled "Boundless Innovation and Bounded Safeguards: Inclusivity and Safety in AI Development." He put forward significant insights regarding the evolution of the AI ​​industry, sparking widespread attention across the sector.

Genesis AI, which gained fame for its robot frying tomatoes and eggs, has opened up its self-developed simulation platform, which greatly reduces the time required for robot evaluation and makes the simulation data closely match the real machine, thus helping to commercialize physical AI technology.

Meituan has officially open-sourced LongCat-2.0, a massive MoE model with 1.6 trillion parameters. This release achieves end-to-end training and inference deployment on a domestic computing cluster comprising 50,000 GPUs, thereby breaking reliance on overseas computing power. The announcement details LongCat-2.0's technical highlights, performance advantages, and industry value.

The AI ​​industry is undergoing a seismic shift as Anthropic’s post-investment valuation climbs to $965 billion, surpassing OpenAI for the first time. Its Claude Opus 4.8 model has reached the pinnacle of reasoning capabilities, while Claude Code captures over half the code-focused AI market with $6.3 billion in annual revenue; this analysis delves into the company's three core strengths: capital, technology, and commercialization.

OpenAI is officially advancing the limited beta testing of its GPT-5.6 model series and has announced a partnership with Broadcom to co-develop "Jalapeño," a dedicated inference ASIC. The project targets tape-out within nine months and large-scale deployment by the end of 2026, aiming to slash inference costs by 50% and effectively completing the company's vertically integrated strategy combining models and chips.

The telecommunications industry is undergoing a major transformation as the three major carriers shift from traditional data-traffic-based business models to token-based computing power services. This article explains the differences between data traffic and tokens, outlines the computing power service packages offered by each carrier, and analyzes industry trends.

To be honest, my first reaction when I saw this news was not "wow", but "is it again?" - because the last time he was so successful was in 2017. After that, everyone knows the story: WeWork went bankrupt, SoftBank Vision Fund suffered huge losses, his personal wealth once shrank to $21.1 billion,

I originally wanted to say 'M3 is very strong' or 'just like that' directly, but later I found out that it's not something that can be explained in a single sentence. Let me admit one thing first: I have a bias against Minimax. It's not the kind of malice, it's the prejudice of being 'tricked'.

I've been pondering this question for several days, really. Because my initial idea was very simple, wasn't it 'whoever has a high score is the best'? Later, I realized that I was too naive, a bit like when I thought 'the higher the pixel of the phone, the better the photo', and slapped my face.

First of all, let's conclude that this is a typical temporary traffic restriction where computing power cannot keep up with user growth. It has a short-term impact on user experience, but in the long run, it is an inevitable choice for commercialization and service stability. It cannot be

To be honest, after reading the paper and demo, I immediately withdrew the paper on "Action Block Prediction" that I was planning to submit last week. Don't laugh, this is really painful for me. After six months of hard work, I thought about sewing and repairing another piece on the VLA (Visual

Global AI infrastructure welcomes unprecedented capital surge, with Broadcom and Google joining forces