Tag with "Google AI"

Google's next flagship AI, Gemini 4 Pro, is quietly being tested under the codename 'gemini-3.8-flash' on public arenas. Early outputs show a striking ability to generate complex SVG images—like a pelican riding a bicycle—a task that trips up most models. How does it stack up against OpenAI's GPT-6Astra Pro? The buzz is building, and Google remains tight-lipped.

Google just announced its AI can now handle over 300 languages, covering 86% of the world's population. But it's not just about translation—the company is tackling tone, emotion, and cultural nuance. From real-time speech translation to sign language recognition, here's how Google plans to make every voice heard.

Google's rapid-fire release of Gemini 3.8 Flash promises big leaps in coding and agent tasks, but real-world tests tell a different story. While benchmarks shine, developers find the model's actual performance rough around the edges. Is Google's strategy of speed over polish paying off, or are users left with a flashy but flawed tool?

Google is gearing up to release Gemini 3.8 Flash, a new AI model with improved coding skills, as early as Wednesday. Insiders say the model, codenamed Skimaki, has narrowed the gap with rivals in internal tests. The launch comes amid leadership changes at DeepMind and a renewed focus on reinforcement learning.

Google has unveiled Gemini Omni 1.1 Flash, a video generation model that pushes the envelope with 4K output. This new tool isn't just about resolution—it introduces scene expansion, precise frame control, and a tiered pricing structure that makes professional-grade video creation more accessible. From storyboard previews to final cuts, it's a game-changer for creators.

Google has unveiled Gemini 3.5 Transcribe, its most accurate speech-to-text model yet, designed to handle noisy environments, technical jargon, and natural speech patterns. With a word error rate as low as 2.6% in non-streaming mode and support for 85 languages, it's a game-changer for developers and everyday users. The model is now available on Android, macOS, and via API, with Chrome integration on the horizon.

Google just dropped Gemini 3.7 Flash, a major upgrade for coding and AI agents, just three weeks after its predecessor. It's not just faster—it's smarter, with big jumps in benchmark scores. And to sweeten the deal, the initial price is cut by 50%, making high-performance AI more accessible than ever.

In a surprising turn of events, Google's AI leadership is in flux. Demis Hassabis steps back from daily duties at DeepMind, while Jeff Dean, a 27-year veteran, leaves to start a new venture. These changes come at a critical time for Gemini, with the next model still unreleased. What does this mean for Google's AI ambitions?

Google's new Gemini 3.6 Flash model promises cost savings and efficiency, but early users and benchmarks suggest intelligence hasn't improved—and in some cases, it's worse. The flagship 3.5 Pro is delayed, and netizens are mocking the company for prioritizing token savings over smarts. Is Google losing its edge?

Leaked details suggest Google's Gemini 3.5 Pro will launch on July 17, featuring a 2 million token context window and a new deep reasoning mode. Early benchmarks show it outperforming rivals in front-end coding tasks, signaling a major step toward advanced AI agents.

After a delay that saw key researchers leave, Google has set July 17 for the launch of Gemini 3.5 Pro. The model is built from scratch, not a tweak of its predecessor, promising major upgrades in front-end generation and image creation. It's set to go head-to-head with DeepSeek V4, making July a pivotal month for AI.

Google's NotebookLM just got a serious power boost. The revamped tool now integrates Gemini 3.5 Flash and adds a personal cloud computer for each user, transforming it from a simple note-taker into a full-fledged AI research assistant. With new features like real-time code execution and 'zero-source' web searches, it's clear Google wants to dominate the academic and professional research space. Early tests show the upgrade outperforms previous versions in nearly two-thirds of evaluation scenarios.

Google just made its AI Plus subscription way more appealing. The monthly price dropped from $7.99 to $4.99 while storage space jumped to 400GB. This aggressive move positions Google better in the heated AI subscription wars, giving users more bang for their buck. The changes could help Google expand its user base for AI-powered office tools.

Google's Gemini AI is taking the world by storm, with its parent company Alphabet revealing staggering adoption numbers. The AI assistant now boasts 900 million monthly active users—doubling in just one year—while its integrated search features reach 2.5 billion people globally. This rapid growth stems from Google's smart strategy of embedding AI across its popular services like Search, Gmail, and YouTube. Behind the scenes, the tech giant has also slashed computing costs by 30%, paving the way for even more powerful AI models coming soon.

Google's AI Edge Gallery has landed on macOS, letting Mac users run powerful multimodal AI models locally without cloud computing. The standout is Gemma412B - a 12-billion parameter model that handles text, images and audio smoothly on standard Mac hardware. Google also introduced a privacy-focused transcription tool that works entirely offline. This marks a significant step in making advanced AI accessible on personal devices while maintaining data privacy.

Google's supposedly sophisticated AI keeps stumbling over elementary spelling mistakes that would embarrass a first grader. The tech giant's AI Overview feature has been caught misspelling 'Google' as 'Googel' and claiming the word 'poop' contains the letter 'r'. Experts explain these blunders stem from how AI processes language fundamentally differently than humans - by breaking words into tokens rather than recognizing individual letters. While Google acknowledges the issue, these limitations may be baked into current AI architecture.

Google's AI search feature has made another embarrassing blunder, claiming 2027 is still two years off. The mistake stems from the system confusing old social media jokes with factual information. This latest error highlights ongoing challenges with AI's ability to understand context and distinguish humor from facts. Tech experts warn such 'hallucinations' may continue until systems develop better reasoning capabilities.

Google has launched its AI Studio mobile app on Google Play, now open for pre-registration. This marks a major shift - bringing Gemini-powered AI development from desktops to smartphones. Imagine describing an app idea over coffee, and having it built by the time you finish your latte. The app promises to turn voice or text prompts into working prototypes, complete with professional designs. With features like community templates and cross-device syncing, it could revolutionize how casual users create everything from meal planners to party games.

Google's NotebookLM is changing the game for AI-powered knowledge bases. Unlike traditional chatbots that pull from broad datasets, this innovative tool focuses exclusively on user-uploaded materials, dramatically reducing misinformation risks. By combining document understanding with multi-index retrieval, it creates personalized knowledge systems that evolve with your inputs. The result? More accurate answers and a surprisingly simple user experience that hides complex technology behind intuitive interactions.

Google has quietly shut down its experimental web automation initiative Project Mariner, but don't call it a failure. The search giant is actually baking Mariner's smart task-automation capabilities directly into flagship products like Gemini Agent and Chrome's new 'auto-browse' feature. This strategic pivot helps Google stay competitive in the crowded AI assistant space while leveraging its massive browser ecosystem.