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Google DeepMind Unveils AlphaEarth Foundations Model for Global Mapping
Google DeepMind has introduced AlphaEarth Foundations, an artificial intelligence model designed to integrate massive volumes of Earth observation data into a unified digital representation of the planet. The system, described as functioning like a “virtual satellite”, can process petabytes of multimodal inputs.
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Gemini 2.5 Deep Think Parallelizes Creative Problem-Solving
As part of Google AI Ultra subscription, Gemini 2.5 Deep Think is a model designed for creative problem-solving through the use of parallel thinking techniques and extended inference time.
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Google Launches Jules, an Asynchronous Coding Agent Powered by Gemini 2.5
Google has moved Jules, its asynchronous, agent-based coding assistant, out of beta and into general availability, positioning it as a tool for developers who want to offload routine programming tasks. Powered by the Gemini 2.5 Pro model, Jules is designed to handle a wide range of coding activities, from writing tests and building new features to fixing bugs or generating audio changelogs.
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Google Launched LangExtract, a Python Library for Structured Data Extraction from Unstructured Text
Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini models.
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Google Labs Introduces Opal, a Visual Platform for Creating AI Mini-Apps
Google Labs has introduced Opal, an experimental no-code tool that enables users to create AI-powered mini-applications through natural language descriptions and a visual workflow editor.
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Google Releases Major Firebase Studio Updates for Agentic AI Development
At Google Cloud Summit London in early July, Google revealed new capabilities in Firebase Studio that promise to enhance agentic cloud-based development: an autonomous Agent mode, native support for Model Context Protocol (MCP), and Gemini CLI integration. These updates aim to streamline agentic AI development by making AI agents more independent and seamlessly embedded in developer workflows.
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Google Launches Gemini CLI: Open-Source Terminal AI Agent for Developers
Google has released Gemini CLI, a new open-source AI command-line interface that brings the full capabilities of its Gemini 2.5 Pro model directly into developers’ terminals. Designed for flexibility, transparency, and developer-first workflows, Gemini CLI provides high-performance, natural language AI assistance through a lightweight, locally accessible interface.
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Experiences from Using AI as a Software Architect
Artificial intelligence excels at refining language and processing large text volumes, but lacks human-like contextual reasoning and emotional intelligence, Avraham Poupko said. Many human traits come into play when doing software architecture. As an architect, he suggests using AI for exploring tradeoffs and refining language with clarity and precision.
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Google Previews Gemini's Agent Mode in Android Studio Narwhal
Google has announced the integration of Gemini in Android Studio's Agent Mode into the latest canary release of Android Studio, Android Studio Narwhal preview. According to Google, the new Agent Mode is designed to handle multi-step development tasks that span across several files.
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Gemini to Arrive On-Premises with Google Distributed Cloud
Google's Gemini models are set to revolutionize on-premises AI with their upcoming launch on Google Distributed Cloud (GDC) in Q3 2025. Partnering with NVIDIA, organizations can harness advanced AI while maintaining strict compliance and data residency. With flexible infrastructure and secure environments, Gemini enables real-time insights for data-driven decision-making across industries.
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Google’s Cybersecurity Model Sec-Gemini Enables SecOps Workflows for Root Cause and Threat Analysis
Google’s new cybersecurity model Sec-Gemini focuses on cybersecurity AI to enable SecOps workflows for root cause analysis (RCA) and threat analysis, and vulnerability impact understanding.
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Google Introduces Gemini 2.5 Pro with Improved Reasoning and Coding Capabilities
Google has released Gemini 2.5 Pro, an updated AI model focused on enhanced reasoning, code generation, and multimodal processing. The model is ranked first on LMArena, a benchmark for human preference in AI responses, and achieves strong results in math, science, and logic-based tasks. It also features a 1 million token context window, with plans to expand to 2 million.
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Gemini Code Assist Now Grants Generous Free-Usage Limits to Everyone
Born as an enterprise-focused AI-based code generation tool, Gemini Code Assist now provides a free tier to individual developers with a limit of 6,000 code completions and 240 chat requests daily.
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Google Report Reveals How Threat Actors Are Currently Using Generative AI
Google's Threat Intelligence Group (GTIG) recently released a report on the adversarial misuse of generative AI. The team investigated prompts used by advanced persistent threat (APT) and coordinated information operations (IO) actors, finding that they have so far achieved productivity gains but have not yet developed novel capabilities.
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Google Introduces AI Co-Scientist System to Aid Scientific Research
Google has announced the development of an AI co-scientist system designed to assist scientists in generating hypotheses and research proposals. Built using Gemini 2.0, the system aims to accelerate scientific and biomedical discoveries by emulating the scientific method and fostering collaboration between humans and AI.