OpenAI Turns Left, Meta Goes Right

KPMG Report: China Leads in Medical Large Models, Accounting for 70% of the Global Total

A recent report titled "Health Tech 50 - The First Edition" released by KPMG China reveals that China has taken a leading position in the field of medical large models globally. The report indicates that the number of medical large models launched in China accounts for more than 70% of the global total, far surpassing other countries and regions. In terms of model categories, large language models (LLMs) are the most numerous, accounting for nearly 65%. Moreover, the report also highlights the strong growth momentum of the intelligent medical devices market in China. It is expected that by 2025, the scale of the intelligent medical devices market in China will reach 24.23 billion yuan, and it will continue to grow.

Topview Avatar 2 Shakes the Market! AI Digital Humans Revolution E-commerce Live Streaming, Will the Era of Models Come to an End?

Perplexity Launches Monthly $200 Max Subscription Service to Unlock Advanced AI Models and Exclusive Features

Exploring the Compatibility of LLMs with Reinforcement Learning: Shanghai Jiao Tong University Reveals Differences Between Llama and Qwen, Introducing OctoThinker

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

Scientists Have Something to Say! SciArena Platform Launches Multi-Dimensional Evaluation of Large Language Models' Scientific Performance

OpenAI and Oracle Join Forces to Build the 'Stargate' Data Center Initiative

In the field of artificial intelligence, OpenAI and Oracle recently announced a major collaboration, committing to invest in the 'Stargate' initiative, aiming to establish more data centers in the United States. This partnership is intended to meet the growing demand for computing power and to accelerate the development of AI technology. According to insiders, OpenAI will rent a large amount of computing power from Oracle's data centers, with an estimated use of about 4.5 gigawatts of electricity. The energy consumption of this data center is so large that it could power millions of American households.

OpenAI Suspends Large-Scale Use of Google TPU Chips, NVIDIA and AMD Remain Core Suppliers

OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

OpenAI Statement: Robinhood's OpenAI Token is Unrelated to Us

OpenAI Condemns Robinhood's Token Sale: Beware of Fake Equity, We Have Not Authorized!

According to AIbase, OpenAI recently issued a statement through its official X newsroom account, firmly clarifying that the so-called "OpenAI token" sold by Robinhood is not equity or stock of the company, and explicitly stating that it has not collaborated with Robinhood, nor participated in or endorsed this token sale. This move is a response to Robinhood's previous announcement that it would sell tokenized stocks of private companies, including OpenAI, to EU residents.

Major Breakthrough! Research Team Reveals the Hidden Reward Mechanism Inside Large Language Models