Browse the latest Research news and research aggregated from the top 50 AI sources on DeepTrendLab — updated every 2 hours.
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across…
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…
Preface This essay argues that rational people don’t have goals, and that rational AIs shouldn’t have goals. Human actions are rational not because we direct them at some final ‘goals,’…
Often debates about education are framed as non-tech versus AI approaches, but too often, AI ed tech just magnifies the same failures of traditional school.
Vibe coding is the creation of large quantities of highly complex AI-generated code, often with the intention that the code will not be read by humans. It has cast quite…
Close reading is a technique for careful analysis of a piece of writing, paying close attention to the exact language, structure, and content of the text. As Eric Ries described…
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…
Chronic boredom is harmful to adults, causing stress, disengagement, and poor well-being. Academic researchers have shown that boredom in the workplace can be just as damaging as burnout. But search…
Large language models make it remarkably easy to generate code. Ask ChatGPT or Claude to build an application, and you’ll receive hundreds of lines of working code in seconds. But…
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer . Unlike traditional methods, this algorithm is not based on temporal difference…
Note from Jeremy: We’re teaching a course starting Nov 3rd on how to build towards software mastery and craftsmanship whilst leveraging AI effectively. Have a look at solve.it.com if you’re…
18 months ago, Andrej Karpathy set a challenge : “Can you take my 2h13m tokenizer video and translate the video into the format of a book chapter”. We’ve done it,…
tl/dr: This is a copy of a one-off email I sent to all fast.ai forum users, with a long-overdue update. I had planned to send this email a year ago…
What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a…
× Predicting Ego-centric Video from human Actions (PEVA) . Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our…
"In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry Winograd The recent successes of generative AI models…
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1…
PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models. The awarding of the 2024 Nobel…
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to…
Introducing fasttransform, a Python library that makes data transformations reversible and extensible through the power of multiple dispatch.
This article was originally posted on rachel.fast.ai , where Rachel has been writing about her journey as an AI researcher returning to school for immunology.
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…
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.…
Update from Jeremy 11 months later : This was so popular it sold out within 24 hours of me posting this. We’ve got a page with hundreds of comments from…