OpenAI ChatGPT Multimodal Features Officially Launched, Supporting Voice Interaction and Image Recognition

Zhipu AI and Shengshu Technology Announce Strategic Partnership to Focus on Large Model Joint Innovation

On April 27, Zhipu AI (Z.ai) and Shengshu Technology (shengshu.com), two leading artificial intelligence companies under Tsinghua University, announced a major strategic partnership. This collaboration aims to leverage both companies' technological expertise in large language models and multi-modal generative models to jointly advance the technological innovation and industrial application of domestic large models.

AccuSense Launches Next-Generation 4nm AI Cockpit Chip X10, Enhancing Intelligent Driving Experience

OpenAI Launches New ChatGPT Version: Smarter, More Intuitive GPT-4o

Moonshot AI Unveils Kimi-Audio: A New Benchmark for Open-Source Audio Foundation Models

Moonshot AI recently announced the launch of Kimi-Audio, a new open-source audio foundation model aimed at advancing the field of audio understanding, generation, and interaction. This release has garnered significant attention from the global AI community and is considered a major milestone in the development of multimodal AI. This report provides a comprehensive overview of Kimi-Audio's core features, performance, and industry impact. Breakthrough Features: Versatile Audio Processing Capabilities Kimi-Audio-7B-Instruct based on Qwen

GPT-4's Image Generation Capabilities Now Integrated into Custom GPTs

AI Daily: Baidu Unveils Wenxin Large Model X1Turbo and AI Open Program; OpenAI Offers Free Lightweight Deep Research; iDream Video 3.0 Internal Testing

Baidu released its new Wenxin large language model X1Turbo and an accompanying AI open program. OpenAI is offering a free, lightweight version of its Deep Research platform. iDream Video 3.0 is currently undergoing internal testing.

Meta Releases WebSSL Models: A New Exploration in Language-Free Visual Learning

In the field of artificial intelligence, Meta recently introduced the WebSSL family of models. These models, ranging in size from 300 million to 7 billion parameters, are trained on purely image data and aim to explore the vast potential of language-free visual self-supervised learning (SSL). This new research opens up new possibilities for future multimodal tasks and offers a fresh perspective on understanding how visual representations are learned. Previously, OpenAI's CLIP model was known for its performance in multimodal tasks such as visual question answering (VQA) and document understanding.

OpenAI Faces Copyright Lawsuit, Responds by Claiming Fair Use

Google AI Overview: Over 1.5 Billion Monthly Users, Intelligent Tools Continuously Upgrading

Beware the AI Expansion! Trillions in Costs and Massive Power Consumption Predicted Within a Decade