Even if language models worked perfectly, they could make research worse, not better. A new theoretical study argues that because AI saves time, researchers' remaining hours become more valuable and get funneled into starting new projects instead of improving existing ones. In two out of three modeled scenarios, the quality of individual publications drops.<br /> The article AI could make scientists do more work less well, not less work better, study argues appeared first on The Decoder. [...]
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]
Skan AI, a startup that builds what it calls a "context graph of work" by observing how employees actually perform their jobs across enterprise software, has raised $63 million in Series C f [...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
The AI agent observability space is taking off — but how can enterprises be sure what observability products and solutions they need?Observability startup groudcover (lower case "g" intent [...]
At the start of the month, Elon Musk announced that two of his companies — SpaceX and xAI — were merging, and would jointly launch a constellation of 1 million satellites to operate as orbital d [...]
When researchers at Anthropic injected the concept of "betrayal" into their Claude AI model's neural networks and asked if it noticed anything unusual, the system paused before respondi [...]