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The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...
Mercury 2 targets structured tasks with schema-aligned JSON output; supports OpenAI API drop-in integration, for simpler deployment.
Google has launched Gemini 3.1 Pro, its latest AI model designed for complex reasoning tasks. With a benchmark score of 77.1% on ARC-AGI-2, Gemini 3.1 Pro doubles the reasoning performance of Gemini 3 ...
Google has introduced Gemini 3.1 Pro, a smarter AI model that aims to boost advanced reasoning, enterprise productivity, and to simplify complex tasks. The new development comes a week later ...
While these potential applications are showing where the tangible value will be in using reasoning models, the reality is that they are still nascent, and we have not seen widespread adoption for a ...
Google has introduced Gemini 3.1 Pro as the new default for the Gemini app and NotebookLM and is designed for complex problem-solving and advanced reasoning tasks.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) have shown impressive performance on various ...
The human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart into manageable subtasks that are easy to solve one at a time. This allows us ...