OpenAI has unveiled GPT-5, its most capable model to date, featuring native multimodal reasoning across text, images, audio, and video. The model supports a 2 million token context window and demonstrates significant improvements in mathematical reasoning and code generation.
Anthropic has closed a $5 billion funding round led by Lightspeed Venture Partners, valuing the company at $60 billion. The funds will be used to expand compute infrastructure and accelerate Claude's development.
DeepMind's latest AlphaFold iteration achieves a 50% improvement in predicting how proteins interact with other molecules, including DNA, RNA, and small molecules. The breakthrough could accelerate drug discovery timelines by years.
Meta has open-sourced Llama 4, a 400B parameter model with 256K context window support. The model outperforms GPT-4 on several benchmarks while being available for free commercial use.
The European Union's AI Act has entered its first enforcement phase, requiring foundation model providers with over 10^25 FLOPs to comply with transparency obligations.
Hugging Face has released Inference API v2, promising up to 10x speedup for popular open-source models through optimized kernel fusion and dynamic batching.
In a widely-shared blog post, Simon Willison argues that the most impactful AI developments are happening in small, efficient models rather than frontier-scale systems.
A new paper from researchers at Stanford and MIT achieves 99.2% top-1 accuracy on ImageNet using a novel training technique called 'Progressive Distillation'.