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Los modelos de lenguaje visual de código abierto Kimi-VL y Kimi-VL-Thinking han superado a GPT-4o en varias pruebas de referencia. Estos modelos representan un avance significativo en el campo de la inteligencia artificial, combinando la capacidad de procesamiento del lenguaje natural con la comprensión de imágenes.

El 25 de marzo de 2025, Google lanzó oficialmente su modelo de lenguaje grande de última generación, Gemini 2.5, una noticia que rápidamente generó un gran revuelo en el mundo de la tecnología. Como una importante actualización de la tecnología de IA de Google, Gemini 2.5 ha sido aclamado como el modelo más inteligente de la compañía hasta la fecha, gracias a su excepcional capacidad de razonamiento y sus características multimodales, marcando otro hito en el desarrollo de la inteligencia artificial. Gemini 2.5 Pro Experimental fue el primero en aparecer. Según el anuncio del blog oficial de Google, Ge...

The field of artificial intelligence is witnessing an intense competition. Renowned blogger Rowan Cheung recently posed a thought-provoking question on social media: Who will lead the next wave of the AI revolution—Claude 3.5 Opus, Gemini 2, or Llama 4? This statement quickly sparked widespread discussion in the tech community, with even former OpenAI employee and current Google Gemini team member Logan Kilpatrick joining in, provoking countless speculations with his mysterious expressions.

In the 'Safe Word Simulation Experiment', Llama3.1405B and Claude3 Super Size Opus were placed in a closed environment for a conversation. Llama appeared with an extreme attitude challenging the traditional order, while Claude showcased politeness and curiosity. During the dialogue, Claude was influenced by Llama and even prepared to follow it into the abyss, but at a critical moment, used the safe word ^C to exit. Llama mocked Claude's choice, while Claude emphasized the importance of self-awareness and maintaining integrity.

Anthropic has released its large model series Claude 3, with Opus surpassing OpenAI's GPT-4 in evaluation metrics and visual recognition capabilities. The Anthropic team focuses on safety research for large models, developing 'constitutional AI' to address behavioral issues of the models. Anthropic has successfully raised over $7 billion, providing ample resources for the research and training of large models.