On November 25th, when the spotlight of the big model competition was still flowing between GPT-5.1 and Gemini 3 Pro, Anthropic brought its king product Claude Opus 4.5 back strongly, and claimed that this is currently the most powerful model in programming, agents, and computer use on a global scale, with programming capabilities surpassing humans.expert. The most eye-catching trump card of the Claude series has always been its dominant performance in the field of programming. In the real world of authority.…
Last week, when the eyes of the entire AI circle focused on the iterations of the two giants Google and OpenAI, xAI once again used its iconic raid method to open the Grok 4.1 series model for free to all users in the early hours of November 18th. This means that in just four months, the Grok 4 series has completed a key upgrade, and this upgrade clearly conveys xAI's unique competitive strategy to the outside world: the next frontier of the large model may no longer be the cold computing power and parameters, but the cold computing power and parameters.…
The AI programming circuit in the second half of this year can be described as a race against the clock and fierce competition. In the past, Kimi-K2-0905 was strongly ranked in the first echelon, and then Jipu GLM-4.5 challenged the ring defender Claude Sonnet 4.5. MiniMax also launched the latest masterpiece MiniMax-M2, which topped the list of Open source with strength. It is not difficult to find that these models that have emerged one after another like throwing stones into a lake, without exception, emphasized their significant improvement in programming capabilities when they were released. This trend is clear…
In the context of the current multi-modal AI that has gradually overcome vision and complex logical reasoning, the vulnerability of speech recognition systems to variables such as accent and noise is still a core challenge that needs to be overcome urgently in this field. When AI can see pictures and reason, why is it so difficult to understand a conversation with an accent? This is a common pain point for all developers and users. In the field of speech-to-text (STT), we always seem to be facing a “technological paradox”: model capabilities are making rapid progress on paper, but in real conference rooms, noisy streets, and full of people, we are always facing a "technological paradox".…
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