… Experts were instructed to gather a dataset, and create a question based on controlled, objective properties of the data, rather than unverifiable scientific conclusions. …
… The sandbox worked perfectly, and yet the data was exfiltrated. …
… 11 Experience effects We explore these relationships more in Figure 2.4 below, using the log-level data to control granularly for features of the conversation. …
… Designing for human control In our framework, we outlined the core tension with agents: to be useful, they need to work autonomously, but to keep them secure, humans still need to retain meaningful control over how they work. …
… It correctly reports when data is missing instead of providing plausible-but-incorrect fallbacks, and it resists dissonant-data traps that even Opus 4.6 falls for. …
… Claude connects to dozens of market data, research platforms, and financial companies’ internal systems—including FactSet, S&P Capital IQ, MSCI, PitchBook, Morningstar, Chronograph, LSEG, and Daloopa—along with firms’ own data warehouses, research repositories, and CRMs, all under governed access c… …
… The problem is that biological data does not live in a single database with a single interface. It is a messy network of roads, each with its own identifiers, conventions, formats, filtering logic, and degree of programmatic access. Some data are straightforward to access programmatically. …
… Effort control in claude.ai and Cowork . A new control alongside the model selector lets users choose how much effort Claude puts into a response. …
… 3 Phase Two required teams to put down their controllers. They had to connect their own computers to the robodog, access data from its onboard sensors video and lidar , develop their own software program for moving the robot around, and then use that to retrieve the ball. …
… This data is provided by the CMS and the Centers for Disease Control and Prevention CDC . …