OpenAI's o3: The researcher called the reasoning-focused model “a master of deception.” It is said to have won the most number of games, primarily owing to its ability to deceive opponents. In one ...

Yann LeCun, Meta's chief AI scientist, has some ideas on open-source regulation. LeCun thinks open-source AI should be an international resource. Countries must ensure they are not "impeding open ...

Amazon Web Services Inc. today released Strands Agents SDK, an open-source toolkit for developing ... There were already tools on the market for building AI agents, but the cloud giant found ...

These technological advances, which have been used to train the company’s Hunyuan AI models, have been open-sourced for external users such as DeepSeek.

Data from LiveBench, an independent platform that benchmarks large language models (LLMs) – the technology underpinning generative AI services like ChatGPT – showed that Qwen3 surpassed R1 in ...

Meta aims to make Llama fast, affordable, and open — giving users control over their data and AI future. The release of an API to improve usability is a significant step towards this goal ...

The rise of open source AI is turning this vision into reality, challenging the dominance of proprietary systems and redefining how we think about technological progress. From large language ...

When DeepSeek launched its advanced model on Hugging Face, it marked a turning point for AI and the global open-source movement, says Asay. DeepSeek's release sparked a wave of global developer ...

But for those who already have AI in place and are looking to scale, open-source AI is emerging as a game changer. For years, organizations have relied on proprietary models—often at high costs ...

He described the shift as a response to greater collective understanding of AI risks, implying that the timing is right for OpenAI to re-engage with open source models. The statement was in the ...

The recent release of DeepSeek-R1 is an early, but unlikely to be the only, example of how open-weight AI models, combined with efficient distillation techniques, are changing the game for AI at the ...

Open-weight models can be more cost-effective for corporations trying to leverage AI since they allow businesses to host (and secure) the models themselves—avoiding the often risky prospect of ...