Category: Machine Learning
Don’t Automate Your Moat: Matching AI Autonomy to Risk and Competitive Stakes
I was talking to a senior engineer at a well-funded company not long ago. I…
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI,…
Enabling privacy-preserving AI training on everyday devices
A new method could bring more accurate and efficient AI models to high-stakes applications like…
Adaptive Thinking: Large Language Models Know When to Think in Latent Space
Recent advances in large language models (LLMs) test-time computing have introduced the capability to perform…
DSO: Direct Steering Optimization for Bias Mitigation
Generative models are often deployed to make decisions on behalf of users, such as vision-language…
Celebrating 20 years of Google Translate: Fun facts, tips and new features to try
Google’s sharing 20 fun facts to celebrate Google Translate turning 20, from its roots as…
When Correct Systems Produce the Wrong Outcomes
We tend to assume that if every part of a system behaves correctly, the system…
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Large Language Models (LLMs) demonstrate their reasoning ability through chain-of-thought (CoT) generation. However, LLM’s autoregressive…