DINOv2 showed that a vision transformer pretrained on unlabeled images could produce embeddings that are useful for a wide variety of tasks. Now it has been updated to improve the performance of its embeddings in segmentation and other vision tasks.
Benchmarks can measure how well large language models apply what they’ve learned from their training data to new data, but it’s harder to measure the degree to which they simply memorized their training data. New work proposes a way to gauge memorization.
The mixture-of-experts approach that has boosted the performance of large language models may do the same for video generation.
A bottleneck in fine-tuning large language models for software engineering is building a dataset that can show them how to edit code, search for subroutines, write test scripts, control a terminal, manage a file system, and so on. Researchers built a pipeline that produces such data automatically.
OpenAI launched GPT-5, the highly anticipated successor to its groundbreaking series of large language models, but glitches in the rollout left many early users disappointed and frustrated.
An autonomous robot performed intricate surgical operations without human intervention.
The race is on to develop large language models that can drive agentic interactions. Following the one-two punch of Moonshot’s Kimi K2 and Alibaba’s Qwen3-235B-A22B update, China’s Z.ai aims to one-up the competition.
The “open” is back in play at OpenAI.
People who turn to chatbots for companionship show indications of lower self-reported well-being, researchers found.
Less than two weeks after Moonshot’s Kimi K2 bested other open-weights, non-reasoning models in tests related to agentic behavior, Alibaba raised the bar yet again.
LLMs can struggle with difficult algorithmic or scientific challenges when asked to solve them in a single attempt. An agentic workflow improved one-shot performance on hard problems both theoretical and practical.
An agent’s performance depends not only on an effective workflow but also on a large language model that excels at agentic activities. A new open-weights model focuses on those capabilities.
Researchers addressed weaknesses in existing multi-agent frameworks. Their systems achieved scientific and technical breakthroughs.
xAI updated its Grok vision-language model and published impressive benchmark results. But, like earlier versions, Grok 4 showed questionable behavior right out of the gate.
Developing an agent that navigates the web can involve a lot of human effort spent annotating training examples to fine-tune the agent’s LLM component. Scientists automated the production of data that fine-tuned LLMs effectively for web tasks.
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