diff --git a/R/utils.R b/R/utils.R
index adedd17a..fa21e55e 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -611,52 +611,6 @@ get_fitted_time <- function(x) {
   x$fitted_time
 }
 
-update_version <- function(object) {
-  if (object$version < "0.4.3") {
-    cli::cli_abort("`update_version()` only works with models fit with version 0.4.3 or later.")
-  }
-  if (!"fitted_time" %in% names(object)) { # < 0.4.3.9004
-    object$fitted_time <- sort(unique(object$data[[object$time]]))
-
-    et <- object$extra_time
-    o <- object$tmb_obj$env$data$offset_i
-    real_data_n <- length(o) - length(et)
-    o <- o[seq(1, real_data_n)]
-    object$offset <- o
-
-    y <- object$response
-    y <- y[seq(1, real_data_n), , drop = FALSE]
-    object$response <- y
-
-    d <- object$data
-    d[["__fake_data__"]] <- d[["__weight_sdmTMB__"]] <-
-      d[["__sdmTMB_offset__"]] <- d[["__dcens_upr__"]] <- NULL
-    d <- d[seq(1, real_data_n), , drop = FALSE]
-    object$data <- d
-  }
-
-  # add gengamma_Q
-  p <- object$tmb_obj$env$parList()
-  if (!"gengamma_Q" %in% names(p)) {
-    p$gengamma_Q <- 1 # not defined at 0
-    ee <- object$tmb_obj$env
-    map <- object$tmb_map
-    map$gengamma_Q <- factor(NA)
-    object$tmb_obj <- TMB::MakeADFun(
-      data = ee$data,
-      parameters = p,
-      map = map,
-      random = ee$random,
-      silent = ee$silent,
-      DLL = "sdmTMB"
-    )
-    object$tmb_obj$fn(object$model$par)
-    object$tmb_obj$env$last.par.best <- ee$last.par.best
-    object$tmb_map <- map
-  }
-  object
-}
-
 reload_model <- function(object) {
   if ("parlist" %in% names(object)) {
     # tinyVAST does this to be extra sure... I've found one case where it was needed