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.
Comparing DeepSeek and Google's free Gemini 2.5 across nine diverse challenges. Following DeepSeek's surprising earlier success, this analysis pits the two AI models head-to-head in creativity, reasoning, coding, and more, revealing their distinct strengths and weaknesses in a rigorous comparison.
Google introduces Gemini 2.5 Pro, an advanced AI focused on sophisticated reasoning. It boasts native multimodality, a massive context window, and excels in coding, math, and science, aiming for more autonomous AI agents. Access via Gemini App, AI Studio, API, and soon Vertex AI.
Google introduces Gemini 2.5 Pro, an 'Experimental' AI model with significantly enhanced reasoning, now freely available with rate limits. It boasts improved benchmark scores, a massive one-million-token context window, and aims to democratize access to advanced AI, despite potential unspoken environmental and data usage costs. Mobile integration is expected soon.
