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

... government of the people, by the people, for the people ... 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 following closely behind. And…

BAIR Blog
2026 BAIR Graduate Showcase
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2026 BAIR Graduate Showcase

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and…

BAIR Blog
Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
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Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling

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BAIR Blog
Gradient-based Planning for World Models at Longer Horizons
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Gradient-based Planning for World Models at Longer Horizons

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BAIR Blog
Identifying Interactions at Scale for LLMs
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Identifying Interactions at Scale for LLMs

--> Understanding the behavior of complex machine learning systems, particularly Large Language Models (LLMs), is a critical challenge in modern artificial intelligence. Interpretability research aims to make the decision-making process more transparent to model builders and impacted humans, a step toward safer and more trustworthy AI. To gain a comprehensive understanding, we can analyze these systems through different lenses: feature attribution, which isolates the specific input features…

BAIR Blog
Information-Driven Design of Imaging Systems
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Information-Driven Design of Imaging Systems

An encoder (optical system) maps objects to noiseless images, which noise corrupts into measurements. Our information estimator uses only these noisy measurements and a noise model to quantify how well measurements distinguish objects. Many imaging systems produce measurements that humans never see or cannot interpret directly. Your smartphone processes raw sensor data through algorithms before producing the final photo. MRI scanners collect frequency-space measurements that require…

BAIR Blog