The Intelligence Age by Sam Altman • AI Blog
AI

The Intelligence Age by Sam Altman • AI Blog

Sam Altman’s blog post “The Intelligence Age” discusses the transformative potential of AI, predicting a future where AI can help solve hard problems, drastically improve quality of life, and create significant societal progress. He envisions personal AI teams aiding individuals, personalized virtual tutors for education, and breakthroughs in healthcare and software development. Altman emphasizes that […]

Scaling up linear programming with PDLP
AI

Scaling up linear programming with PDLP

Classic linear programming (LP) problems are one of the most foundational problems in computer science and operations research. With extensive applications across numerous sectors of the global economy, such as manufacturing, networking, and other fields, LP has been the cornerstone of mathematical programming and has significantly influenced the development of today’s sophisticated modeling and algorithmic

Scaling up linear programming with PDLP
AI

Open Buildings 2.5D Temporal dataset tracks building changes across the Global South

By the year 2050 the world’s urban population is expected to increase by 2.5 billion, with nearly 90% of that growth occurring in cities across Asia and Africa. To effectively plan for this population growth, respond to crises, and understand urbanization’s impact, governments, humanitarian organizations, and researchers need data about buildings and infrastructure, including how

Scaling up linear programming with PDLP
AI

Recognizing whale vocalizations with AI

In order to protect animals that live in remote environments, researchers must be able to find them to understand the movements of their populations over time. As long-term passive acoustic monitoring capabilities have grown more technologically sophisticated, automatic animal species identification tools built on large datasets from these recorded soundscapes have become an increasingly vital

Empowering YouTube creators with generative AI
AI

Empowering YouTube creators with generative AI

Models Published 18 September 2024 Authors Eli Collins New video generation technology in YouTube Shorts will help millions of people realize their creative vision Artificial intelligence (AI) technologies for generating creative content are improving rapidly, but seamless ways of using them still aren’t widely available. We’re changing that, and making these incredible technologies more easily

Scaling up linear programming with PDLP
AI

The long orbit to benchmarking long video understanding

Pipeline Long video datasets are challenging to build because of the significant manual effort required to select, watch, understand and annotate long videos with free-form natural language. Answering challenging questions about longer videos is often a multimodal task that may involve listening to the audio track in addition to watching the video. It may also

A Geometric Model of Cosmological Redshift via Angular Geometry in a Static Universe • AI Blog
AI

A Geometric Model of Cosmological Redshift via Angular Geometry in a Static Universe • AI Blog

Abstract We propose a novel geometric model to explain the observed redshift of light from distant celestial objects without invoking cosmic expansion or gravitational redshift. By examining the angular geometry between the light source, the observer, and a fixed reference point “above” the observer, we demonstrate how spatial geometry alone can lead to an apparent

Our latest advances in robot dexterity
AI

Our latest advances in robot dexterity

Research Published 12 September 2024 Authors Robotics team Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement People perform many tasks on a daily basis, like tying shoelaces or tightening a screw. But for robots, learning these highly-dexterous tasks is incredibly difficult to get right.

Scaling up linear programming with PDLP
AI

Grounding AI in reality with a little help from Data Commons

Large Language Models (LLMs) have revolutionized how we interact with information, but grounding their responses in verifiable facts remains a fundamental challenge. This is compounded by the fact that real-world knowledge is often scattered across numerous sources, each with its own data formats, schemas, and APIs, making it difficult to access and integrate. Lack of

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