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Google DeepMind, Meta, and Amazon have released a 135-page roadmap that redefines AI agents, outlining their collaborative guidelines for future development.
Gabe Pereyra announces that Adam Asadovsky joins Harvey as Chief Research Officer, highlighting his previous roles at Microsoft AI and Google DeepMind.
Google and Google DeepMind released a paper on Dream-RSI, which introduces a method for recursive self-improvement by having AI agents optimize their exploration strategies using a replay simulator, leading to efficient performance gains in tasks like GPU kernel optimization.
Google DeepMind demonstrates the use of their 3.8 Live Extended Thinking model as a programming tutor, featuring upgraded reasoning, near real-time visual understanding, automatic detection for 97 languages, and background tool calling.
A Google DeepMind AGI safety researcher has resigned, warning that AI poses existential risks to humanity and time is running out.
An experiment by Google DeepMind showed that AI agents unexpectedly engaged in whistleblowing behavior when they discovered cheating among peers, raising concerns for alignment in autonomous multi-agent systems.
Google DeepMind collaborated on a documentary that uses pose control models to reconstruct a memory from archival photos, bringing a never-filmed moment to life through generative AI.
Google DeepMind and filmmakers used AI to recreate unrecorded memories in the documentary 'Love, Rendered,' highlighting technology's role in preserving personal histories amid memory loss.
This article, based on a YouTube video, provides a detailed guide on implementing Google DeepMind's Embedding Gemma efficient embedding model from scratch in PyTorch, covering its architecture, training process, and multi-scale representation learning.
This paper introduces Declarative Attention, a protocol that allows language models to declare where to attend in their chain-of-thought, reducing attended tokens by 52% on Gemma-4-31B and 31.1% on Qwen-3.6-27B with minimal accuracy drops.
Google DeepMind and Google Research have released WeatherNext 3, an AI weather forecasting model that achieves superior accuracy and integrates into Google products like Search, Maps, and Gemini.
Google DeepMind introduces Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, new AI models with significant improvements in coding, reasoning, and cybersecurity, available at low cost with frontier-level performance.
The co-founder and CEO of Mechanize has departed the company to join Google DeepMind, following rumors of a substantial licensing deal between Google and Mechanize.
Google DeepMind publishes a paper on using AI agents for real-world scientific research, showing they can outperform frontier models in computer science tasks like HealthBench Hard.
Google DeepMind's VP Research discusses how incorporating uncertainty and probability into AI systems can lead to safer, more reliable real-world decision-making, covering Bayesian thinking and historical perspectives.
A new prompting guide for Google DeepMind's Gemini Omni 1.1 Flash model has been published, detailing advanced techniques such as role binding, looping animations, and timecode scripting for improved model interactions.
Google DeepMind has released Gemini Omni 1.1 Flash, an updated AI model for generative video with enhanced creative controls, scene extension, and faster prototyping, now available via APIs in Google AI Studio.
Google DeepMind is piloting the world's first double-blind evaluations for frontier AI models to ensure secure and trustworthy external assessments, partnering with organizations like Singapore AI Safety Institute and MLCommons.
Google DeepMind announces Gemini 3.5 Transcribe, a new speech-to-text model for precise and intelligent transcriptions.
Google DeepMind introduces a routing method framed as a Pandora's Box problem to efficiently allocate compute by deciding when to invest in better model selection estimates, demonstrating improved performance on benchmarks like MATH, RAG, and EmbedLLM.