DeepSeek kicks off 2026 with paper signalling push to train bigger models for less

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...

DeepSeek proposes shift in AI model development with ‘mHC’ architecture to upgrade ResNet

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

DeepSeek founder’s latest paper proposes new AI model training to bypass GPU limits

The development underscores the start-up's focus on maximising cost efficiency amid a deficit in computational power relative ...
Ars Technica

New Apple study challenges whether AI models truly “reason” through problems

In early June, Apple researchers released a study suggesting that simulated reasoning (SR) models, such as OpenAI’s o1 and o3, DeepSeek-R1, and Claude 3.7 Sonnet Thinking, produce outputs consistent ...

China's DeepSeek kicked off 2026 with a new AI training method that analysts say is a 'breakthrough' for scaling

DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Mashable

'The illusion of thinking': Apple research finds AI models collapse and give up with hard puzzles

New artificial intelligence research from Apple shows AI reasoning models may not be "thinking" so well after all. According to a paper published just days before Apple's WWDC event, large reasoning ...