According to Demis Hassabis, Gemini 3.1 Pro has been officially launched, featuring significant advancements in reasoning and problem-solving capabilities. The model achieved a 77.1% score on the ARC-AGI-2 benchmark, more than doubling the performance of its predecessor, Gemini 3 Pro. This update is now available on platforms like GeminiApp and Antigravity, signaling a major leap in AI capabilities.

According to @DeepLearningAI, Artificial Analysis released Intelligence Index 4.0, replacing saturated benchmarks with new tests centered on economically useful work, factual reliability, and reasoning (source: @DeepLearningAI). According to @DeepLearningAI, the update aims to better capture how large language models perform in business contexts, providing more relevant signals for enterprise use cases (source: @DeepLearningAI).

According to Sam Altman, OpenAI plans to release a new open-weight language model with enhanced reasoning capabilities in the coming months. This development is aimed at engaging with developers to enhance its utility, signaling potential for increased innovation in AI applications. The focus is on creating a highly effective model, which could impact trading strategies and automated analysis tools in cryptocurrency markets.

According to @sundarpichai, Gemini 2.5 Pro Experimental, the latest AI model, demonstrates state-of-the-art capabilities in reasoning and coding, leading various benchmarks. This advancement is critical for quantitative traders seeking enhanced algorithmic performance and accuracy.

According to @GoogleDeepMind, developers can now utilize Gemini 2.0 Flash-Lite through Google AI Studio and GoogleCloud's VertexAI, offering improved performance in reasoning, multimodal, math, and factuality benchmarks.