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Anthropic CEO Speaks Out Against 'Chinese Threats' to Support U.S. AI Hegemony - Chief AI Sharing Circle

Anthropic CEO supports U.S. AI hegemony by calling out 'China threat'

1. Smearing China's AI development and rendering "China's threat theory" The author of the article, standing on the position of the United States, deliberately exaggerates the so-called "threat" to the United States posed by the technological advancement of Chinese AI enterprises such as DeepSeek and forcibly associates it with the so-called "XXX threat", which is full of cold-war thinking and ideological bias. "XXX threat", this argument is full of cold war thinking and ideological bias. ...

Byte Jump's free programming assistant, Trae, is open for Windows download! Everyone can develop their own gadgets, the era of universal programming is coming!

China's Cursor ! Byte Jump launches Trae with powerful AI models like Claude 3.5 Sonnet and GPT-4o built-in! Want to batch watermark images with one click? Want to customize your own Excel automation scripts? Want to build an online resume website in ten minutes? Trae AI can help you realize all these for free! Experience Trae AI without any programming foundation, and let AI help you develop utilities easily and increase efficiency by 10 times! Click on the free trial, say goodbye to duplication of labor, welcome the explosion of efficiency, so that your ability to instantly realize!

Qwen2.5-Max Based on MoE Architecture Completely Outperforms DeepSeek V3-Chief AI Sharing Circle

Qwen2.5-Max based on MoE architecture fully outperforms DeepSeek V3

Model Overview In recent years, large model training based on Mixture of Experts (MoE) architecture has become an important research direction in the field of artificial intelligence.The Qwen team recently released the Qwen2.5-Max model, which employs more than 20 trillion tokens of pre-training data and refined post-training scheme in M...

LLM Distillation: A "Dark War" on Large Model Independence? -Chief AI Sharing Circle

LLM distillation: a "dark war" on the independence of large models?

I. BACKGROUND AND CHALLENGES With the rapid development of AI technology, large-scale language models (LLMs) have become a core driver in the field of natural language processing. However, training these models requires huge computational resources and time costs, which has led to the rise of Knowledge Distillation (KD) techniques. Knowledge distillation works by combining large ...

DeepSeek Temporarily Limits New Registrations, Citing 'Massive Malicious Attacks' - Chief AI Sharing Circle

DeepSeek Temporarily Limits New Registrations, Citing "Massive Malicious Attacks"

DeepSeek has been hit by a massive malicious attack that has temporarily restricted new registrations due to an attack on its online service that has resulted in a busy registration process. The issue started to erupt around January 27, 2025 by a deepseek api error report, during which registration also experienced small-scale issues. By the early morning of January 28, the API ...

Baichuan Intelligence Releases Baichuan-Omni-1.5 Omnimodal Large Model, Surpassing GPT-4o Mini-Chief AI Sharing Circle in Several Measurements

Baichuan Intelligence Releases Baichuan-Omni-1.5 Omnimodal Large Model, Surpassing GPT-4o Mini in Several Measurements

Toward the end of the year, the domestic large modeling field is again spreading good news. Baichuan Intelligence recently released a number of large model products intensively, following the full-scene deep inference model Baichuan-M1-preview and medical augmented open source model Baichuan-M1-14B, and then re-launched the omni-modal model Baichuan-Omni-1.5. This model ...

In-depth analysis丨the next $300 billion Agents market, with case studies-Chief AI Sharing Circle

In-depth Analysis丨The Next $300 Billion Agents Market, With Case Studies

At the end of 2024, YC partner Jared predicted that in the next few years, vertical AI Agents will be an emerging market 10 times larger than SaaS, and this field may also give rise to technology giants with a market capitalization of more than $300 billion. At that time, Microsoft CEO Satya also bold language, "AI Agents will replace all SaaS ...

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