Informational messages (normal_id_glm_lpdf: Scale vector is inf, but must be positive finite)

Modeling
10

I have the same problem with the same reproducible example, with R 4.3.1, macOS Sonoma, brms 2.20.5, cmdstanr 0.6.1 and cmdstan 2.33.1 (see also this: Brms and cmdstanr show un-hidable warnings about proposal rejections):

library(brms)
options(brms.backend = "cmdstanr")
data("sleepstudy", package = "lme4")
form1 <- 
b_prior7 <- c(set_prior("normal(0, 20)", "b"),
  set_prior("student_t(10, 0, 10)", "sd"),
  set_prior("student_t(10, 0, 10)", "sigma")
)
b_reg3 <- 
  brm(form1, sleepstudy, prior = b_prior7,
    seed = 101,   
    control = list(adapt_delta = 0.95)
  )

Compiling Stan program...
ld: warning: duplicate -rpath '/Users/andrew/.cmdstan/cmdstan-2.33.1/stan/lib/stan_math/lib/tbb' ignored

Start sampling
Chain 1 Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:
Chain 1 Exception: normal_id_glm_lpdf: Scale vector is inf, but must be positive finite! (in '/var/folders/17/g3pw3lvj2h30gwm67tbtx98c0000gn/T/RtmpLuXdnc/model-fc7ad8e18a3.stan', line 76, column 4 to column 55)
Chain 1 If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,
Chain 1 but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.
Chain 1 
Chain 1 Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:
Chain 1 Exception: normal_id_glm_lpdf: Scale vector is inf, but must be positive finite! (in '/var/folders/17/g3pw3lvj2h30gwm67tbtx98c0000gn/T/RtmpLuXdnc/model-fc7ad8e18a3.stan', line 76, column 4 to column 55)
Chain 1 If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,
Chain 1 but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.
...
lots of other warnings
...
Chain 4 
Chain 4 Informational Message: The current Metropolis proposal is about to be rejected because of the following issue:
Chain 4 Exception: normal_id_glm_lpdf: Scale vector is inf, but must be positive finite! (in '/var/folders/17/g3pw3lvj2h30gwm67tbtx98c0000gn/T/RtmpLuXdnc/model-fc7ad8e18a3.stan', line 76, column 4 to column 55)
Chain 4 If this warning occurs sporadically, such as for highly constrained variable types like covariance matrices, then the sampler is fine,
Chain 4 but if this warning occurs often then your model may be either severely ill-conditioned or misspecified.
Chain 4