ai-research

Nvidia will invest $26 billion over the next five years to build open-weight AI models, according to a 2025 financial filing confirmed by executives. The move signals a strategic shift from chipmaker to AI frontier lab, with the company releasing Nemotron 3 Super (128B parameters) and claiming it outperforms GPT-OSS on multiple benchmarks.

AMI Labs, cofounded by Turing Prize winner Yann LeCun, has raised $1.03 billion at a $3.5 billion pre-money valuation. The funding will support the company's effort to develop world models, marking a major commitment to foundational AI research outside of existing tech giants.

Apple researchers have identified a fundamental limitation in speech-adapted large language models: they consistently underperform their text-based counterparts on language understanding tasks. The team terms this the 'text-speech understanding gap' and documents that speech-adapted LLMs lag behind both their original text versions and cascaded speech-to-text pipelines.

A new Google DeepMind research paper on AI agent delegation recommends that AI systems occasionally assign humans tasks they could easily complete themselves. The goal: preventing workforce skill atrophy as automation increases.