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Alphabet CEO Sundar Pichai discussed Google's responsible AI development and strategic vision at the Dialogues stage during Google I/O 2026. The event highlighted the company's latest AI breakthroughs, developer tools, and enterprise solutions.
Google unveiled new AI models, a 24/7 cloud-based personal agent named Gemini Spark, and a redesigned Gemini app at its I/O developer conference.
Google I/O 2026 showcased a range of AI innovations aimed at making artificial intelligence more accessible and helpful for everyone, from developers to everyday users.
Google unveiled 100 new AI features at I/O 2026, including enhanced Gemini models, developer tools, and privacy controls. The announcements highlight Google's commitment to advancing AI while addressing ethical concerns.
Google AI Studio now generates native Android apps from prompts, potentially reshaping the app ecosystem. Meanwhile, Apple blocks certain apps, highlighting contrasting industry approaches.
This explainer article explains the concept of pre-training in AI, its technical mechanisms, and why it's crucial for developing large language models like Claude.
Sea Limited's CPO explains how the company is deploying OpenAI's Codex across engineering teams to accelerate AI-native software development in Asia.
BCG is training its AI sales agent, Jamie, on both successful and unsuccessful sales behaviors to build a more robust and adaptable system.
Anthropic's Mythos model is advancing rapidly, surpassing safety benchmarks just weeks after its release. The AI safety agency's report highlights the model's impressive performance in alignment testing.
Microsoft is canceling licenses for Anthropic's Claude Code AI coding tool after initially opening access to thousands of its own developers. The move signals a strategic reassessment of AI partnerships as Microsoft focuses on internal AI development.
Richard Socher's new $650 million startup aims to build an AI that can research and improve itself indefinitely, with plans to ship commercial products.
Google's Gemini API now supports webhooks to reduce latency and friction for long-running AI jobs. The feature eliminates the need for constant polling and improves efficiency for complex AI workloads.
