Google DeepMind just launched Weather Lab, featuring an experimental AI model that predicts tropical cyclones up to 15 days ahead across 50 scenarios. Its 5-day track forecasts beat ECMWF's leading physical model by 140 km on average—a 1.5-day leap in warning time. DeepMind is now partnering with the U.S. National Hurricane Center for real-time validation.
Snap just announced plans to sell its lightweight AR glasses, Specs, to everyday consumers starting in 2026. The new see-through frames pack an onboard multimodal AI assistant to process video and audio, alongside developer support for OpenAI and Google DeepMind models.
Geoffrey Hinton just laid out his latest vision for AI, balancing medical breakthroughs against existential dread. While he expects AI to transform healthcare, he warned about autonomous lethal weapons and systems manipulating humans to stay online. If AI becomes smarter than us, he bluntly noted, humans simply won't be needed.
Google just introduced Google AI Ultra, a premium $249.99/month subscription offering its highest usage limits and top-tier models. Subscribers get early access to Veo 3, the new Flow filmmaking tool, Project Mariner agent, and 30 TB of storage, while existing AI Premium plans are rebranded to Google AI Pro.
Google just outlined its vision to turn Gemini into a universal AI assistant, aiming to evolve Gemini 2.5 Pro into a brain-like "world model." The company is integrating Project Astra's live capabilities and computer control into Gemini Live, while upgrading its Project Mariner browser agent to handle up to 10 tasks at once for Google AI Ultra subscribers in the U.S.
Google just rolled out major upgrades to its Gemini 2.5 lineup, introducing an experimental Deep Think reasoning mode for 2.5 Pro that tackles complex math and coding by exploring multiple hypotheses. The update also adds native multi-speaker audio dialogue, Project Mariner computer use in API, and native MCP support.
Google just unveiled Gemma 3n, a mobile-first open model designed to run rich multimodal AI entirely on phones and laptops. Thanks to a new Per-Layer Embeddings technique, its 5B and 8B models operate with dynamic memory footprints of just 2GB and 3GB. Why it matters: it makes complex, private local AI actually fit on everyday hardware.
Google DeepMind just unveiled AlphaEvolve, an evolutionary coding agent powered by Gemini that designs and optimizes complex algorithms. It has already reclaimed 0.7% of Google's global data center compute, accelerated key AI kernels by up to 32.5%, and improved decades-old math records like Strassen's matrix multiplication. Academic early access is currently in the works.
Meta just appointed Robert Fergus as the new head of its Fundamental AI Research (FAIR) lab, succeeding the departing Joelle Pineau. Fergus originally co-founded FAIR with Yann LeCun in 2014 before spending the last five years as a research director at Google DeepMind. The move signals Meta's intent to reset FAIR as an exploratory research haven while its separate GenAI team drives commercial products.
Google just upgraded its experimental Music AI Sandbox, rolling out broader access to U.S. creators alongside its new Lyria 2 generation model. The toolkit lets musicians extend tracks, rewrite styles via text prompts, and experiment with real-time generation using Lyria RealTime. All outputs are automatically watermarked with SynthID.
Google DeepMind CEO Demis Hassabis just suggested that while today's AI lacks consciousness, self-awareness could emerge implicitly as models learn concepts of "you, self, and other." He also predicts AI will be able to pose and solve real scientific conjectures in the next 5 to 10 years.
YouTube just launched an AI feature inside Creator Music that lets creators generate custom instrumental backing tracks from text prompts. Eligible creators can open the "Music Assistant" tab to specify instruments or moods, producing tracks that are free to use without copyright claims. It is gradually rolling out to U.S. creators in the YouTube Partner Program.
Google DeepMind just announced it will support the MCP protocol across its Gemini models and SDK. CEO Demis Hassabis called MCP an emerging open standard for the AI agent era, noting Google looks forward to developing it further with the MCP team and the broader industry.
Google DeepMind just published a comprehensive technical paper detailing how it plans to keep future AGI systems aligned and secure. The framework focuses heavily on deliberate misuse and deceptive misalignment, proposing techniques like amplified oversight and AI-assisted monitors to catch models attempting harmful shortcuts. Why it matters: as AI systems gain agentic autonomy, mapping out concrete technical safeguards before human-level cognition arrives has become urgent.
Google DeepMind just broke down its new Gemini Robotics family, fine-tuning Gemini 2.0 to give robots real-world dexterity and reasoning. Powered by Gemini Robotics-ER and a new vision-language-action model, dual-arm robots can tackle unfamiliar tasks like slam dunking a toy ball or packing lunches on the first try. It is an impressive step toward general-purpose embodied AI that moves beyond single-task programming.
Google just released Gemini 2.5 Pro Experimental, its newest flagship model that reasons through thoughts before answering. The model immediately took the #1 spot on LMArena, boasts a 1-million-token context window, and hits new highs on math and coding benchmarks like SWE-bench. It is available right now in Google AI Studio and for Gemini Advanced subscribers.
Google just released TxGemma, an open family of models fine-tuned from Gemma 2 to predict molecular properties and analyze therapeutics data. Available in 2B, 9B, and 27B sizes, the models include specialized predict and chat variants that explain reasoning. The 27B predict model matches or beats previous SOTA on 64 out of 66 clinical and chemical tasks.
Nvidia just teamed up with Google DeepMind and Disney Research to build Newton, an open-source physics engine designed to help robots learn complex physical tasks with higher precision. Disney plans to plug Newton into its next-generation entertainment animatronics, starting with Star Wars-inspired BDX droids.
Google DeepMind just launched Gemini Robotics and Gemini Robotics-ER, two models built on Gemini 2.0 designed to bring AI reasoning into physical actions. The models can handle delicate chores like origami and zip-bag packing, and DeepMind is already teaming up with Apptronik to power Apollo humanoid robots.
Google just expanded its medical AI system AMIE from one-off diagnoses to ongoing disease management across multi-visit consultations. Powered by a dual-agent Gemini setup grounded in clinical guidelines, AMIE matched or outperformed primary care doctors across 100 simulated patient cases. It marks a crucial step toward AI-assisted chronic care, though real-world clinical validation is still pending.
