Hub Artificial Intelligence

Artificial intelligence is either a field of research, the most important technical innovation of mankind, its downfall – or simply a pipe dream from Silicon Valley. Can machines really be intelligent? What is intelligence anyway? What opportunities does AI technology offer, and what are the risks? From neural networks to the science fiction vision of super AI, from deepfakes to AI surveillance: THE DECODER delivers the latest AI news and information on all facets of artificial intelligence.

Artificial Intelligence

Gemini 3 Pro tops new AI reliability benchmark, but hallucination rates remain high

Artificial Intelligence

Researchers push "Context Engineering 2.0" as the road to lifelong AI memory

Artificial Intelligence
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

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Artificial Intelligence
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Alibaba has developed a new AI chip, which is currently in testing, designed for a broad range of inference tasks, such as powering the responses from a smartphone voice assistant. The chip is manufactured by a Chinese company and is more versatile than Alibaba's older chips. It is designed for inference, not for training AI models—an area where China's biggest weakness lies compared to the US.

As reported by the Wall Street Journal, Alibaba's new chip is compatible with the Nvidia software platform, meaning engineers can repurpose programs written for Nvidia hardware. The chip helps to fill the void created after Nvidia ran into regulatory barriers restricting sales of its products in China. Alibaba was long one of Nvidia's biggest customers before these restrictions were put in place.

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X.AI has introduced Grok Code Fast 1, a new AI model designed specifically for agent-based programming. The company says it uses a "new architecture," was trained on real-world programming data, and is built to be fast and cost-effective. Grok Code Fast 1 supports a wide range of programming languages and is intended to handle tasks like bug fixes and project setup on its own. Early integration partners include GitHub Copilot, Cursor, and others, where the model is available for free testing for a limited time. Pricing is set at $0.20 per million input tokens and $1.50 per million output tokens. X.AI hasn't released benchmark comparisons, sharing only a single SWE-Bench score of 70.8 percent. According to initial user reports, the model is fast, but struggles with more complex tasks and makes frequent mistakes. Grok Code Fast 1 seems positioned as an alternative to smaller models like GPT-5-nano.

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AI research

Frustrated authors withdraw papers after realizing their reviewers are just lazy LLMs

AI research

Gemini 3 Pro tops new AI reliability benchmark, but hallucination rates remain high

AI research

Researchers push "Context Engineering 2.0" as the road to lifelong AI memory

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