Machine Learning Research
No Game Engine Required: AI creates an interactive Minecraft-like world in real time
A real-time video generator lets you explore an open-ended, interactive virtual world — a video game without a game engine.
Machine Learning Research
Machine Learning Research
Next-Gen Models Show Limited Gains: AI giants rethink model training strategy as scaling laws break down
Builders of large AI models have relied on the idea that bigger neural networks trained on more data and given more processing power would show steady improvements. Recent developments are challenging that idea.
Machine Learning Research
Free Agents: OpenHands launches as an open toolkit for advanced code generation and automation
An open source package inspired by the commercial agentic code generator Devin aims to automate computer programming and more.
Machine Learning Research
Mixture of Experts Pulls Ahead: Hunyuan-Large outshines open competitors with high benchmark scores
A new open source large language model outperforms competitors, including the open-weights Llama 3.1 405B, on a variety of benchmarks.
Machine Learning Research
When Agents Train Algorithms: OpenAI’s MLE-bench tests AI coding agents
Coding agents are improving, but can they tackle machine learning tasks?
Tech & Society
Does Your Model Comply With the AI Act?: COMPL-AI study measures LLMs’ compliance with EU’s AI act
A new study suggests that leading AI models may meet the requirements of the European Union’s AI Act in some areas, but probably not in others.
Machine Learning Research
Claude Controls Computers: Anthropic empowers Claude Sonnet 3.5 to operate desktop apps, but cautions remain
API commands for Claude Sonnet 3.5 enable Anthropic’s large language model to operate desktop apps much like humans do. Be cautious, though: It’s a work in progress.
Machine Learning Research
Synthetic Data Distorts Models: Could training on generated output doom AI’s future?
Training successive neural networks on the outputs of previous networks gradually degrades performance. Will future models succumb to the curse of recursive training?
Machine Learning Research
Benchmark Tests Are Meaningless: The problem with training data contamination in machine learning
The universe of web pages includes correct answers to common questions that are used to test large language models. How can we evaluate new models if they’ve studied the answers before we give them the test?
Machine Learning Research
Faster, Cheaper Video Generation: Pyramidal Flow Matching, a cost-cutting method for training video generators
Researchers devised a way to cut the cost of training video generators. They used it to build a competitive open source text-to-video model and promised to release the training code.
Machine Learning Research
Mistral AI Sharpens the Edge: Mistral AI unveils Ministral 3B and 8B models, outperforming rivals in small-scale AI
Mistral AI launched two models that raise the bar for language models with 8 billion or fewer parameters, small enough to run on many edge devices.
Machine Learning Research
Better Text Embeddings: Jina AI launches jina-embeddings-v3, a text embedding model with task-specific adapters
Text embedding models are often used to retrieve text, cluster text, determine similarity between texts, and generate initial embeddings for text classifiers. A new embedding model comes with adapters that specialize it to each of these use cases.