Google just quietly revealed pricing for its Veo 2 video generation model, charging 50 cents per second of generated video—which translates to $30 per minute or $1,800 per hour. Unlike OpenAI bundling Sora into a $200 monthly plan, Google is taking a pure pay-as-you-go approach as high-end video generation models finally test commercial waters.
Google just unveiled AI co-scientist, a multi-agent system built on Gemini 2.0 designed to serve as a virtual scientific collaborator. Instead of just summarizing papers, it uses specialized agents to generate novel hypotheses, draft proposals, and refine ideas through test-time compute scaling. Early lab tests in drug repurposing for leukemia have already shown real-world promise.
YouTube just upgraded its Shorts feature Dream Screen with Google DeepMind's Veo 2 model, allowing creators to generate standalone AI video clips from text prompts rather than just backgrounds. It offers better real-world physics and camera styling alongside SynthID watermarking, rolling out first in the US, Canada, Australia, and New Zealand.
Google DeepMind is building a new team dedicated to AI that simulates the physical world, led by former OpenAI Sora co-lead Tim Brooks. The group plans to build on Gemini, Veo, and Genie to advance visual reasoning, robotics planning, and real-time generation, viewing world models as essential on the path to AGI.
Google just introduced its next-gen Gemini 2.0 model family, rolling out Gemini 2.0 Flash Experimental to developers and Gemini web users today. The new model beats 1.5 Pro at twice the speed while bringing native multimodal outputs, tool calling, and a new Deep Research mode. Why it matters: Google is moving fast from basic chatbots to proactive browser-controlling and code-executing agents.
Google DeepMind just published GenCast, an open-source diffusion ensemble model for 15-day global weather forecasts. Trained on ECMWF ERA5 data, it beat top operational system ENS on 97.2% of targets while running in just 8 minutes on a single TPU. It marks a huge leap for extreme weather and renewable energy forecasting.
Google DeepMind just introduced Genie 2, a foundation world model that turns a single prompt image into playable, action-controllable 3D environments using standard keyboard and mouse controls. It can simulate physics, lighting, and character interactions consistently for up to a minute. Why it matters: It cracks a major bottleneck in robotics and embodied AI by providing endless synthetic playgrounds to train and evaluate future agents.
OpenAI just hired three senior computer vision researchers from Google DeepMind—Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai—to staff its newly opened office in Zurich, Switzerland. The team will focus on developing multimodal AI models across images and audio. Why it matters: The high-profile raid underscores an escalating global talent war, where top AI labs routinely shell out seven-figure compensation packages to secure a limited pool of frontier researchers.
Google just opened its London AI Campus in Camden, joined by UK Prime Minister Keir Starmer. The two-year education pilot connects local sixth form students with Google and DeepMind mentors for real-world projects. Google.org also granted £865,000 to the Raspberry Pi Foundation to scale UK AI education.
Google DeepMind and Google Quantum AI just introduced AlphaQubit, a Transformer-based neural decoder targeting quantum error correction. Published in Nature, it cut error rates by 30% compared to leading scalable decoders on the Sycamore processor. It sets a new benchmark for decoding accuracy, though it is currently still too slow for microsecond real-time correction.
Google DeepMind just released the software code for its protein-folding model AlphaFold 3 for non-commercial scientific research. The release follows six months of academic backlash over withholding the code, though accessing the actual model weights still requires an application request.
Google just graduated Gemini 1.5 Flash-8B from experimental status to general availability. The ultra-lightweight model nearly matches the standard 1.5 Flash on key benchmarks while offering Google's lowest price per token yet and doubled rate limits of up to 4,000 requests per minute.
Nearly 200 Google DeepMind employees just signed an internal letter demanding leadership terminate contracts with military organizations and cut off defense access to its AI. The staff cite Google's original 2014 acquisition pledge to never use DeepMind tech for warfare, underscoring growing friction with cloud initiatives like Project Nimbus. Google has yet to provide a meaningful response.
Google just rolled out its "About this image" tool to Circle to Search and Google Lens on Android and iOS. Users can now circle any photo on their screen or scan it in the Google app to inspect its web history, metadata, and DeepMind SynthID watermarks for AI generation. Why it matters: fact-checking questionable images is now a one-tap habit across 40 languages.
Google DeepMind just hooked up Gemini 1.5 Pro to its discontinued Everyday Robots hardware, turning them into autonomous office navigators. The bot can process spoken commands and even follow hand-drawn whiteboard maps across a 9,000-square-foot office, notching a 90% success rate across 50 employee interactions.
Google is aggressively pushing DeepMind to shift from an academic research lab into a commercial AI product factory, but the transition is causing serious growing pains. Insiders told Bloomberg that researchers are increasingly frustrated and burned out by top-down corporate mandates, a strain worsened by Gemini's rocky public rollouts.
Google DeepMind just unveiled its video-to-audio (V2A) technology, which generates synchronized soundtracks, sound effects, and dialogue directly from video pixels and optional text prompts. Using a diffusion-based model, it pairs with video generators like Veo without requiring tedious manual audio alignment. Why it matters: Silent AI video is one of generative media's biggest immersion killers, though DeepMind notes lip-syncing still needs work before any public release.
Google just introduced VideoFX, a new generative video tool powered by DeepMind's flagship Veo model that features a storyboard mode for scene-by-scene editing. The company also upgraded ImageFX with brush-based image editing and an Imagen 3 waitlist, alongside a DJ Mode beat-mixer in MusicFX.
Google just introduced LearnLM, a new family of models fine-tuned from Gemini designed to turn AI from an answer generator into an active tutor. Grounded in learning science, it powers features like interactive "raise your hand" prompts on YouTube, step-by-step guidance in Gemini, and simplified Search overviews. Why it matters: generative AI is shifting from an easy cheating shortcut to structured pedagogy.
Pharma and tech giants like Eli Lilly and Nvidia see generative AI taking over drug discovery within a few years. By treating molecules and proteins like words in a sentence, AI can generate candidates in minutes that would take labs a year to synthesize, cutting research timelines from years to months. The real bottleneck remains human clinical trials.
