What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involving carefully designed and mathematically principled architectures result in only marginal improvements while compute-intensive and engineering-first efforts that scale to ever larger training sets and model parameter counts result […]
What is the Role of Mathematics in Modern Machine Learning? The past decade has witnessed a shift in how progress is made in machine learning. Research involving carefully designed and mathematically principled architectures result in only marginal improvements while compute-intensive and engineering-first efforts that scale to ever larger training sets and model parameter counts result
The relationships between a population of people, their health outcomes, and their local contexts can be very complex. Nevertheless, developing an understanding of these population dynamics can be crucial for addressing complex social problems, such as disease, economic security, disaster response, and much more. Despite the importance, however, accurate predictions for these population dynamics have
Our work proposes a different rule that slightly, but still not optimally, reduces the potential gains from manipulation. The theoretical rule we propose identifies a small set of teams as “significant”, which we define as teams that could form coalitions that lead to a team in the coalition being the clear winner. We classify each
The ionosphere is a swirling sea of charged particles that lies in Earth’s upper atmosphere. The ions accumulate when solar radiation collides with atmospheric gas molecules, knocking off some of their electrons. Variations in the free electron density across the ionosphere are one of the largest sources of error in satellite navigation systems such as
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors?
Get Your “My First Robot” Kit In today’s world, artificial intelligence and robotics are no longer just the stuff of science fiction. These technologies are shaping industries, education, and even how children learn and engage with technology. The “My First Robots” kit from Robot School serves as a perfect example of how AI and robotics
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
Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does amazingly well at communicating with people in English. But whose English? Only 15% of ChatGPT users are from the US, where Standard American English is the default. But the model is also commonly used in countries and communities where people
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
