The San Francisco–based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters—the settings that determine a model’s behavior—during training. This could give model makers more fine-grained control over how this technology is built than was once thought possible. Goodfire claims Silico…
When leaders notice payroll errors, the immediate thought is to tighten payroll controls. Instead, they should look to the data that feeds payroll results: timekeeping accuracy.
Reid Hoffman says tracking AI token use can gauge adoption, but cautions it should be paired with context and not treated as a direct productivity metric.