Sophisticated web crawlers and extraction tools have enabled developers to harvest fresh data at scale from hundreds of ...

MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...

Large language models have already transformed software engineering, for better or worse. Now, so-called large physics models are also starting to transform design engineering. These tools are ...

Anthropic is calling for joint efforts to slow the development of AI, using arms control agreements as a model. But that's a ...

Everyone working on artificial intelligence these days fears the worst-case scenario. The precocious LLM will suddenly glide off the rails and start spouting dangerous thoughts. One minute it’s a ...

Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an ...

The majority of AI projects fail from a lack of foundational integrity. Clean data and integrated systems are the ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this approach can introduce dangerous traits. Data generated by ...

After a model’s initial training on a large corpus of mostly Internet-derived data, Anthropic follows a post-training process intended to nudge the final model toward being “helpful, honest, and ...