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Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence

General Science

Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.

We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control

From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon

Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific AI workloads. Software is changing just as fast, and AI coding tools now generate in minutes what took months of effort a few years

Gemini Robotics 2 brings whole body intelligence to robots

Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks; and OpenAI's accidental AI hacker

Epoch and METR released MirrorCode, a benchmark testing whether AI systems can reimplement programs from CLI access alone; some tasks were solved, but 8 of 25 targets were never fully solved. Anthropic, Sunday, and OpenAI also reported robotics and safety findings.

Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction

Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a significant performance cost, especially for human assistance domains where high quality data is scarce, e.g., collaborative code generation. We address this w

SymptomAI: Towards a conversational AI agent for everyday symptom assessment

General Science

Towards a quantum computer that learns from its errors

Machine Intelligence

Accelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission

Google commits $40M in AI tokens and credits for the Genesis Mission

Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber

We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.

Import AI 465: Open vs closed gaps; Kimi K3; Demis' big policy plan

The UK AI Security Institute found the cybersecurity capability gap between open-weight and closed frontier models has narrowed, with GLM-5.2 and DeepSeek V4-Pro performing like closed models released four to seven months earlier. Kimi also announced Kimi K3, a 2.8 trillion parameter model, while Demis Hassabis proposed a FINRA-style standards body for frontier AI testing.

Controlling Reasoning Effort in LLMs

An article from Ahead of AI explains how large language models can be trained to support multiple reasoning-effort modes, citing OpenAI's GPT-5.6 family, gpt-oss, Qwen3, and Thinking Machine Labs' Inkling as examples.

Introducing Gemini 3.5 Flash Cyber

Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.

Our approach to bioresilience

Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.

Towards demystifying the creativity of diffusion models

Algorithms & Theory

Empowering India’s next generation of innovators with ATL Saathi

Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.

SensorFM: Towards a general intelligence and interface for wearable health data

Generative AI

The power of collaboration: How we can reduce traffic congestion

Algorithms & Theory

Intelligence is Free, Now What? Data Systems for, of, and by Agents

... government of the people, by the people, for the people ... — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1 , and some providers are pushing costs below $0.10 . Across benchmarks, inference prices have fallen between 9x and 900x per year , with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models follo