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China's Meituan trains 'country's largest' 1.6-trillion-parameter AI model without Nvidia chips

Meituan said LongCat-2.0 outperformed Google's older Gemini 3.1 Pro on several coding and agentic benchmarks, though it ...
techxplore

China's Meituan says new AI model trained on domestic chips

Chinese tech firm Meituan launched a new artificial intelligence model on Tuesday that it said was the first of its size to be trained using domestically developed computer chips. The country is ...

Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...
Decrypt

Ornith Is the Open-Source Coding Model Built for Agents, Not Humans

Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.

The Future Of AI Training Data Is Human. The Question Is How

A new partnership between metaverse startup VLGE and data firm Protege leverages natural human behavioral data from virtual ...

The Opportunities And Challenges In Modeling Human Embodied Intelligence

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...
GitHub

TensorFlow Compression

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...
IEEE

Deep Learning for Household Load Forecasting—A Novel Pooling Deep RNN

Abstract: The key challenge for household load forecasting lies in the high volatility and uncertainty of load profiles. Traditional methods tend to avoid such uncertainty by load aggregation (to ...