We fine-tuned on AMI, the most gamed testset on the HF Open ASR Leaderboard, and climbed 10 places. Here is what benchmaxxing ...

Arthur Mensch urges enterprises to go open source, warning closed AI providers retain data and compete with customers. The pitch ends at Mistral's door.

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Proprietary and open-weight AI represent two competing approaches to building and commercialising artificial intelligence.

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

The model supports a one-million-token context window and introduces a new sparse attention architecture for coding and ...

Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...

Cloudflare AI bot controls now divide crawlers into Search, Agent, and Training categories, letting publishers independently ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...