…Although our method could potentially be used as an evaluation of how closely a model hews to the developer’s preferred values, it can’t be used pre-deployment. That is, the…
…estimates Morningstar contributes valuation data and research analytics Palantir builds AI-driven platforms that help governments and enterprises integrate, analyze, and act on large-scale data to make critical operational decisions PitchBook…
…We hope to enable models to find insecure code before deployment and to find and fix vulnerabilities in deployed code. There are, of course, many more critical security tasks we did not…
…Now consider an actor with explicit malicious intent who misuses Claude to develop working malware, but we have no evidence of deployment or downstream impact—yet. The multiplicative model would, again, zero…
…The risk of these deployments has two components: how likely a failure is, and how much damage one could do. Progress on safeguards and model training has steadily driven down the first…
…Addressing this inference economics challenge requires a deep understanding of the system-level token throughput and latency requirements that govern agentic economics. The cost and complexity of these workloads is best understood…
…Network defenders should shorten their patch testing and deployment timelines. The critical controls laid out by organizations like the National Institute of Standards and Technology and the UK’s National Cyber Security…
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