Research News
AI research covers academic papers, breakthroughs and findings from labs like DeepMind, Berkeley AI Research and Stanford HAI. This page aggregates the latest peer-reviewed and preprint AI science.
482 articles · updated 24/7 from 100+ sources
Introducing The Big Book of Large Language Models!
For the past years, I have been creating educational content around machine learning and, specifically, large…
Shape, Symmetries, and Structure: The Changing Role of Mathematics in Machine Learning Research
What is the Role of Mathematics in Modern Machine Learning?The past decade has witnessed a shift in how…
Introducing Transluce — A Letter from the Founders
We are launching an independent research lab that builds open, scalable technology for understanding AI…
Augmenting Statistical Models with Natural Language Parameters
This is a guest post by my student Ruiqi Zhong, who has some very exciting work defining new families of…
What's Missing From LLM Chatbots: A Sense of Purpose
LLM-based chatbots’ capabilities have been advancing every month. These improvements are mostly measured by…
We Need Positive Visions for AI Grounded in Wellbeing
IntroductionImagine yourself a decade ago, jumping directly into the present shock of conversing naturally…
Financial Market Applications of LLMs
The AI revolution drove frenzied investment in both private and public companies and captured the public’s…
A Brief Overview of Gender Bias in AI
AI models reflect, and often exaggerate, existing gender biases from the real world. It is important to…
Mamba Explained
The State Space Model taking on TransformersRight now, AI is eating the world.And by AI, I mean Transformers.…
Car-GPT: Could LLMs finally make self-driving cars happen?
In 1928, London was in the middle of a terrible health crisis, devastated by bacterial diseases like…
Do text embeddings perfectly encode text?
The rise of the vector databaseAs a result of the rapid advancement of generative AI in recent years, many…
Why Doesn’t My Model Work?
Have you ever trained a model you thought was good, but then it failed miserably when applied to real world…
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
The history of each living being is written in its genome, which is stored as DNA and present in nearly every…
Salmon in the Loop
One of the most fascinating problems that a computer scientist may be lucky enough to encounter is a complex…
Analyzing the Historical Rate of Catastrophes
To communicate risks, we often turn to stories. Nuclear weapons conjure stories of mutually assured…
Forecasting AI (Overview)
This is a landing page for various posts I’ve written, and plan to write, about forecasting future…
GPT-2030 and Catastrophic Drives: Four Vignettes
I previously discussed the capabilities we might expect from future AI systems, illustrated through GPT2030,…
Intrinsic Drives and Extrinsic Misuse: Two Intertwined Risks of AI
Given their advanced capabilities, future AI systems could pose significant risks to society. Some of this…
AI Pause Will Likely Backfire (Guest Post)
I'm experimenting with hosting guest posts on this blog, as a way to represent additional viewpoints and…
Neural algorithmic reasoning
In this article, we will talk about classical computation: the kind of computation typically found in an…
The Artificiality of Alignment
This essay first appeared in Reboot. Credulous, breathless coverage of “AI existential risk” (abbreviated…
AI Forecasting: Two Years In
Two years ago, I commissioned forecasts for state-of-the-art performance on several popular ML benchmarks.…
What will GPT-2030 look like?
GPT-4 surprised many people with its abilities at coding, creative brainstorming, letter-writing, and other…
Complex Systems are Hard to Control
The deployment of powerful deep learning systems such as ChatGPT raises the question of how to make these…