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Forecasting rare language model behaviors

Anthropic

One of the major goals of Alignment Science is to predict AI models’ propensity for dangerous behaviors before those behaviors occur.

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Research Anthropic

ResearchDiscovering behaviors with model-written evaluationsAnthropic ResearchTowards understanding sycophancy in language modelsAnthropic ResearchNatural Language AutoencodersAnthropic ResearchRed teaming language models to reduce harmsAnthropic ResearchA global workspace in language modelsAnthropic ResearchGLM-5.3 and the spread of advanced cyber capabilitiesAnthropic BlogsModule Mirror and Checksum Database Launched - The Go Programming LanguageGo BlogsGet familiar with workspaces - The Go Programming LanguageGo BlogsGo Concurrency Patterns: Timing out, moving on - The Go Programming LanguageGo BlogsRouting Enhancements for Go 1.22 - The Go Programming LanguageGo BlogsDeconstructing Type Parameters - The Go Programming LanguageGo BlogsThe New Go Developer Network - The Go Programming LanguageGo BlogsRedirecting godoc.org requests to pkg.go.dev - The Go Programming LanguageGo ResourcesGo Wiki: Minimum Requirements - The Go Programming LanguageGo BlogsGo Modules: v2 and Beyond - The Go Programming LanguageGo BlogsMore powerful Go execution traces - The Go Programming LanguageGo BlogsGopls on by default in the VS Code Go extension - The Go Programming LanguageGo BlogsError handling and Go - The Go Programming LanguageGo BlogsShare Memory By Communicating - The Go Programming LanguageGo BlogsDefer, Panic, and Recover - The Go Programming LanguageGo