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Gemini

50 summarised stories about Gemini, each linking back to the original source. Browse all topics →

Friday, 24 October 2025

Exploring the context of online images with Backstory

Google DeepMind 8 months ago

Google introduced Backstory, an experimental AI tool built on Gemini that analyzes online images to determine whether they are AI-generated, where they have previously appeared, and if they have been digitally altered. The tool responds to written prompts about images and generates reports combining AI-detection technologies with contextual information like metadata and usage history. Users can now access additional context about images they encounter online to make more informed assessments of trustworthiness, though the company notes that determining if an image is AI-generated does not automatically indicate whether it is misleading or untrustworthy.

Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad

Google DeepMind 8 months ago

Google DeepMind's advanced Gemini model with Deep Think solved five of six International Mathematical Olympiad problems, achieving a gold-medal score officially certified by IMO coordinators. The system scored 35 out of 42 points and completed all solutions within the competition's 4.5-hour time limit using only natural language, without requiring human translation into formal languages. This represents a significant advance over last year's AlphaProof and AlphaGeometry system, which solved four problems and required days of computation plus expert intervention to convert between natural and formal languages.

Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals

Google DeepMind 8 months ago

Gemini 2.5 Deep Think solved 10 of 12 problems at the 2025 International Collegiate Programming Contest World Finals, achieving gold-medal level performance. The model completed 8 problems in 45 minutes and 2 additional problems within 3 hours, and was the only competitor to solve Problem C, which required optimizing liquid distribution through interconnected ducts. The result demonstrates AI capability in abstract reasoning and multi-step problem solving, with potential applications in software development, drug design, and microchip engineering.