We Need Positive Visions for AI Grounded in Wellbeing
AI

We Need Positive Visions for AI Grounded in Wellbeing

Introduction Imagine yourself a decade ago, jumping directly into the present shock of conversing naturally with an encyclopedic AI that crafts images, writes code, and debates philosophy. Won’t this technology almost certainly transform society — and hasn’t AI’s impact on us so far been a mixed-bag? Thus it’s no surprise that so many conversations these […]

Mapping the misuse of generative AI
AI

Mapping the misuse of generative AI

Responsibility & Safety Published 2 August 2024 Authors Nahema Marchal and Rachel Xu New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies Generative artificial intelligence (AI) models that can produce image, text, audio, video and more are enabling a new era of creativity and

Gemma Scope: helping the safety community shed light on the inner workings of language models
AI

Gemma Scope: helping the safety community shed light on the inner workings of language models

Models Published 31 July 2024 Authors Language Model Interpretability team Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability. To create an artificial intelligence (AI) language model, researchers build a system that learns from vast amounts of data without human guidance. As a result, the inner workings of language models are often

AI achieves silver-medal standard solving International Mathematical Olympiad problems
AI

AI achieves silver-medal standard solving International Mathematical Olympiad problems

Acknowledgements We thank the International Mathematical Olympiad organization for their support. AlphaProof development was led by Thomas Hubert, Rishi Mehta and Laurent Sartran; AlphaGeometry 2 and natural language reasoning efforts were led by Thang Luong. AlphaProof was developed with key contributions from Hussain Masoom, Aja Huang, Miklós Z. Horváth, Tom Zahavy, Vivek Veeriah, Eric Wieser,

Smoothly editing material properties of objects with text-to-image models and synthetic data
AI

Fast, accurate climate modeling with NeuralGCM

Although traditional climate models have been improving over the decades, they often generate errors and have biases due to scientists’ incomplete understanding of how Earth’s climate works and how the models are built. These models divide the globe into cubes — typically 50–100 km on each horizontal side — that extend from the surface up

The Visual Haystacks Benchmark! – The Berkeley Artificial Intelligence Research Blog
AI

The Visual Haystacks Benchmark! – The Berkeley Artificial Intelligence Research Blog

Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering (VQA) systems to interpret scenes within single images and answer related questions. While recent advancements in foundation models have significantly closed the gap between human

Google DeepMind at ICML 2024
AI

Google DeepMind at ICML 2024

Research Published 19 July 2024 Exploring AGI, the challenges of scaling and the future of multimodal generative AI Next week the artificial intelligence (AI) community will come together for the 2024 International Conference on Machine Learning (ICML). Running from July 21-27 in Vienna, Austria, the conference is an international platform for showcasing the latest advances,

Smoothly editing material properties of objects with text-to-image models and synthetic data
AI

Harnessing hidden genetic information in clinical data with REGLE

Modern healthcare systems generate a vast amount of high-dimensional clinical data (HDCD), such as spirogram measurements, photoplethysmograms (PPG), electrocardiogram (ECG) recordings, CT scans, and MRI imaging, that cannot be summarized as a single binary or a continuous number (cf. “has asthma” or “height in centimeters”). Understanding the connection between our genomes and HDCD not only

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