Google's Ironwood TPU marks a quantum leap in AI compute, surpassing supercomputers in inference tasks. It powers advanced models like Gemini and facilitates AI agent collaboration, ushering in a new 'Inference Era'.
Google's Ironwood TPU redefines AI computing with its exceptional performance and optimization for inference, driving innovation and enabling collaborative intelligence through A2A and MCP protocols. It unlocks new possibilities for complex AI models and transform industries worldwide.
Google replaces Assistant with Gemini, but its silence on the activation phrase – 'Hey, Google' or 'Hey, Gemini' – creates user confusion. This uncertainty complicates a major AI transition, highlighting the need for clarity on this fundamental interaction element as users adapt to the new system.
Google is developing a Gemini AI for children under 13, replacing Google Assistant. Code analysis reveals warnings about AI fallibility ('Gemini isn't human'). This move raises concerns about misinformation, bias, and reliance, despite potential benefits like parental controls via Family Link. It highlights the challenges of deploying advanced AI for young users.
Google introduces Sec-Gemini v1, an experimental AI model derived from Gemini. Enhanced with Google, OSV, and Mandiant threat intelligence, it aims to empower cybersecurity professionals. Sec-Gemini acts as a 'force multiplier', helping defenders analyze threats faster and overcome the inherent disadvantage in cyberspace, reshaping cyber defense strategies.
Google moves its advanced AI model, Gemini 1.5 Pro, from limited testing to a public preview. Offering paid tiers alongside a free experimental version, this release provides developers scalable access to powerful reasoning and long-context capabilities, intensifying competition in the AI landscape against rivals like OpenAI and Anthropic.
Google reveals Gemini 2.5 Pro API pricing. A tiered system targets standard and extended context use, positioning it as a premium model against competitors like OpenAI and Anthropic. Despite higher costs than some, its advanced capabilities and competitive pricing against top-tier rivals like GPT-4.5 receive positive developer feedback amid rising AI costs.
Google rapidly advances its Gemini AI models, like 2.5 Pro, outpacing competitors. However, the delay in releasing safety documentation (model cards) raises concerns about transparency and accountability, despite Google citing internal testing and plans for future disclosure amid a competitive AI landscape and evolving regulations.
Google replaces Gemini lead Sissie Hsiao with Google Labs' Josh Woodward, signaling a strategic AI shift. Woodward, known for NotebookLM, takes dual roles, linking Labs' experiments with Gemini's evolution under DeepMind. This move reflects intense AI competition and Google's push for innovation across its ecosystem, aiming for AI supremacy.
Google swiftly made its advanced Gemini 2.5 Pro (Exp) free, challenging ChatGPT's dominance. This rapid shift highlights Google's strategy: leveraging its ecosystem and offering powerful AI freely to capture users, while reserving unique benefits like larger context windows and tools like NotebookLM for paid Gemini Advanced subscribers. It's an aggressive move in the AI race.
