Machine Learning Research
Grok 3 Scales Up: Grok 3, xAI’s new model family, improves on its predecessors, adds reasoning
xAI’s new model family suggests that devoting more computation to training remains a viable path to building more capable AI.
Machine Learning Research
Machine Learning Research
Tree Search for Web Agents: How tree search improves AI agents’ ability to browse the web and complete tasks
Browsing the web to achieve a specific goal can be challenging for agents based on large language models and even for vision-language models that can process onscreen images of a browser.
Machine Learning Research
Alibaba’s Answer to DeepSeek: Alibaba debuts Qwen2.5-VL, a powerful family of open vision-language models
While Hangzhou’s DeepSeek flexed its muscles, Chinese tech giant Alibaba vied for the spotlight with new open vision-language models.
Machine Learning Research
Agents Go Deep: OpenAI’s Deep Research agent generates detailed reports by analyzing web sources
OpenAI introduced a state-of-the-art agent that produces research reports by scouring the web and reasoning over what it finds.
Machine Learning Research
Okay, But Please Don’t Stop Talking: Moshi, an open alternative to OpenAI’s Realtime API for Speech
Even cutting-edge, end-to-end, speech-to-speech systems like ChatGPT’s Advanced Voice Mode tend to get interrupted by interjections like “I see” and “uh-huh” that keep human conversations going. Researchers built an open alternative that’s designed to go with the flow of overlapping speech.
Machine Learning Research
Gemini Thinks Faster: Google’s Gemini 2.0 Flash Thinking advances in reasoning, outperforms DeepSeek-R1
Google updated the December-vintage reasoning model Gemini 2.0 Flash Thinking and other Flash models, gaining ground on OpenAI o1 and DeepSeek-R1.
Machine Learning Research
Training for Computer Use: UI-TARS shows strong computer use capabilities in benchmarks
As Anthropic, Google, OpenAI, and others roll out agents that are capable of computer use, new work shows how underlying models can be trained to do this.
Machine Learning Research
Reasoning in High Gear: o3-mini, a faster, more affordable reasoning model for coding, math, and science
OpenAI introduced a successor to its o1 models that’s faster, less expensive, and especially strong in coding, math, and science.
Machine Learning Research
Fine-Tuning Fine Points: Active inheritance, a smarter way to fine-tune models on synthetic data
The practice of fine-tuning models on synthetic data is becoming well established. But synthetic training data, even if it represents the training task well, may include characteristics like toxicity that impart unwelcome properties in the trained model’s output...
Machine Learning Research
Computer Use Gains Momentum: OpenAI’s Operator automates online tasks with a new AI agent
OpenAI introduced an AI agent that performs simple web tasks on a user’s behalf.
Machine Learning Research
Reinforcement Learning Heats Up: How DeepSeek-R1 and Kimi k1.5 use reinforcement learning to improve reasoning
Reinforcement learning is emerging as an avenue for building large language models with advanced reasoning capabilities.
Machine Learning Research
Generated Chip Designs Work in Mysterious Ways: Researchers used deep learning and an evolutionary algorithm to design chips in minutes
Designing integrated circuits typically requires years of human expertise. Recent work set AI to the task with surprising results.